The Role

Pave Bank is building the future of programmable banking — combining traditional banking with digital assets under a single, regulated platform. We’re looking for a Site Reliability Engineer (SRE) to ensure our core systems are highly available, scalable, and performant as we grow.

As an SRE at Pave Bank, you’ll work closely with Engineering, Product, Security and Operations teams to build robust infrastructure, automate operations, and maintain reliability across all services. Your work will directly impact the safety, performance, and scalability of our banking platform, helping our customers trust Pave Bank with their finances.

What You’ll Be Doing

• Monitor, maintain, and improve the reliability, availability, and performance of production systems and services.

• Build and maintain infrastructure as code (IaC), deployment pipelines, and automation to support continuous delivery, scalability, and disaster recovery.

• Respond to incidents, perform root-cause analysis, and drive postmortems to ensure lessons learned are applied.

• Implement and enforce operational best practices: observability, logging, metrics, alerting, capacity planning, failover strategies, and backups.

• Collaborate with Engineering, Product, Compliance, and Operations teams to ensure infrastructure meets reliability, compliance, and security standards.

• Support service scaling, database operations, cloud infrastructure (GCP preferred), networking, and microservices orchestration.

• Document operational runbooks, on-call procedures, and system architecture to support maintenance, knowledge sharing, and compliance.

What You’ll Bring

Technical Skills and Experience

• Strong programming or scripting skills (Go, Python, Bash, or similar) for automation, tooling, and operational tasks.

• Hands-on experience with cloud infrastructure, ideally Google Cloud Platform (GCP).

• Familiarity with containerization and orchestration (Docker, Kubernetes, or equivalent).

• Experience with infrastructure-as-code tools (Terraform, Cloud Deployment Manager, or similar).

• Experience with either FluxCD or ArgoCD for GitOps-based delivery.

• Solid understanding of distributed systems, microservices architecture, and reliability patterns.

• Experience setting up monitoring, logging, alerting, and observability (e.g., Prometheus, Grafana, ELK, distributed tracing).

• Strong troubleshooting skills and ability to respond to incidents under pressure.

• Knowledge of backup and disaster recovery strategies, database management, and secure operations.

Other Skills

• Ownership mindset: proactive, responsible, and committed to system reliability.

• Strong communication skills — able to coordinate across technical and non-technical stakeholders.

• Comfortable working in a fast-paced, early-stage startup environment.

• High integrity, attention to detail, and passion for fintech and programmable banking systems.

Nice to Have

• Prior experience in fintech, banking, or other highly regulated industries.

• Familiarity with compliance, security, and data protection best practices.

• Experience with high-availability, high-throughput systems, or financial infrastructure.

• Exposure to blockchain or crypto systems integrated with banking.

• Experience optimizing cloud infrastructure for cost and performance under rapid growth.

Why Pave Bank?

• Work alongside a founding team from Monzo and BigPay, bringing top-tier fintech expertise.

• Tackle real-world reliability challenges in a regulated, fast-growing fintech environment.

• Learn from and collaborate with experienced engineers while developing your SRE career.

• Competitive salary and meaningful equity with room for growth.

• Be part of a well-funded startup shaping the future of programmable banking.

Senior Site Reliability Engineer - AI Infrastructure

Location: Global Remote / San Francisco · Full-Time

About Andromeda

Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers.

We began with a single managed cluster — but it filled almost instantly. Since then, we’ve been quietly building the systems, network, and orchestration layer that makes the world’s AI infrastructure more accessible.

Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it’s needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth.

Our long-term vision is to build the liquidity layer for global AI compute — a marketplace that moves the infrastructure and workloads powering AGI not dissimilar to the flows of capital in the world’s financial markets.

We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering.

The Role

This is not a generalist SRE role.

You will design, operate, and debug large-scale GPU infrastructure used for distributed training and inference, working directly with customers pushing the limits of modern AI systems.

We’re looking for engineers who have personally run GPU clusters in production, understand the failure modes of distributed training, and can reason about performance from network fabric → kernel → framework.

What You’ll Own

• GPU Cluster Architecture: Design and evolve multi-provider, multi-region GPU compute clusters optimized for large-scale training. Make topology-aware scheduling, networking, and storage decisions that directly impact training throughput and cost efficiency.

• Customer Technical Partnership: Serve as the primary technical point of contact for customers running large-scale training workloads. Onboard, troubleshoot, and optimize, often in real time.

• Reliability & Performance Engineering: Define SLOs and error budgets that account for the unique failure modes of GPU infrastructure (ECC errors, NVLink degradation, NCCL timeouts). Own capacity planning across heterogeneous GPU fleets optimized for training throughput.

• Networking & Fabric Health: Ensure the health and performance of high-speed interconnects (InfiniBand, RoCE, NVLink) that underpin distributed training. Diagnose and resolve fabric-level issues that degrade collective operations.

• Observability: Build deep visibility into GPU utilization, memory pressure, interconnect throughput, training job performance, and hardware health. Go well beyond standard infrastructure metrics.

• Automation & Tooling: Build production-grade automation for cluster provisioning, GPU health checks, job scheduling, self-healing, and firmware/driver lifecycle management.

• Incident Leadership: Lead incident response for complex, multi-layer failures spanning hardware, networking, orchestration, and ML frameworks. Drive blameless postmortems and systemic fixes.

What We’re Looking For

• GPU Systems Expertise: Deep, hands-on experience operating large-scale GPU clusters (NVIDIA A100/H100/B200 or equivalent). You understand GPU memory hierarchies, ECC behavior, thermal throttling, and hardware failure modes from direct experience not documentation.

• High-Performance Networking: Production experience with InfiniBand, RoCE, or NVLink fabrics in the context of distributed training. You can diagnose why an all-reduce is slow, identify a degraded link in a fat-tree topology, and reason about congestion control at scale.

• Distributed Training & ML Frameworks: Working knowledge of how large training jobs actually run — NCCL, CUDA, PyTorch distributed, DeepSpeed, Megatron, FSDP, or similar. You don't need to write the models, but you need to understand what's happening at the systems level when a 1,000-GPU training run stalls.

• Linux & Systems Internals: Expert-level Linux knowledge: kernel tuning, driver management (NVIDIA drivers, CUDA toolkit), cgroup/namespace internals, performance profiling at the syscall and hardware level.

• Kubernetes & Orchestration: Strong experience running Kubernetes in production with GPU workloads, including device plugins, topology-aware scheduling, multi-cluster federation, and custom operators. Experience with Slurm or other HPC schedulers is equally valued.

• Automation & Software Engineering: Strong engineering skills in Python, Go, or Bash. You build production-grade tools and services, not just scripts. Infrastructure-as-Code proficiency (Terraform, Helm, Ansible, or equivalent).

• Observability & Monitoring: Hands-on experience building monitoring and alerting for GPU infrastructure, not just Prometheus/Grafana basics, but GPU-specific telemetry (DCGM, nvidia-smi, fabric manager metrics) integrated into actionable dashboards.

• Incident Management: Proven track record leading incident response for complex distributed systems where the failure could be in hardware, firmware, networking, drivers, orchestration, or application code and you need to narrow it down fast.

Strong Candidates May Have

• Distributed Storage: Experience with high-performance parallel file systems (VAST, Weka, Lustre, GPFS) and the checkpoint I/O and data-loading bottlenecks that come with large training runs.

• Training Optimization: Experience profiling and optimizing distributed training performance: identifying stragglers, tuning collective communication strategies, improving MFU (Model FLOPs Utilization), and reducing idle GPU time across large runs.

• Cluster Buildout & Hardware: Experience involved in physical cluster design - rack layout, power/cooling constraints, network topology design, and hardware validation/burn-in at scale.

• Team Leadership: Experience leading or mentoring a team of infrastructure engineers. We're growing and need people who raise the bar for everyone around them.

Why You’ll Love It Here

This is a high-impact, senior builder’s role. You’ll have significant ownership and autonomy to shape how our systems run at a foundational level, working directly with customers and providers while architecting the infrastructure backbone for reliable, scalable AI compute. You’ll influence technical direction and help define what world-class AI infrastructure operations look like.

Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are looking for a self-taught builder with strong communication skills, great people synergy, and the ability to thrive in highly dynamic environments. You do not need to be a programmer at heart, but you do need to be comfortable reading code, understanding how systems behave, and translating technical complexity into practical decisions.

Our mission needs someone who can combine infrastructure thinking, security awareness, AI fluency, and operational excellence to help us design, scale, and protect critical systems. If Kubernetes, cloud architecture, automation, and intelligent tooling are part of how you think, this is your stage.

• Design and evolve Kubernetes architectures across multi-cluster environments
• Build and improve platform foundations involving networking, storage, scalability, and resilience
• Manage and standardize deployments using Helm Charts, Kustomize, and GitOps practices
• Provision and maintain infrastructure using Terraform
• Drive performance tuning and security hardening across clusters and workloads
• Support cloud-native environments on GCP with a strong architecture mindset
• Help define and improve networking and security architecture for distributed systems
• Work with AI beyond simple chat assistant usage, applying it as a practical accelerator for analysis, operations, and problem-solving
• Create and maintain development and operational scripts to improve efficiency and reliability
• Read and interpret code when needed to troubleshoot behavior, assess risks, and collaborate with engineering teams
• Communicate clearly across technical and non-technical stakeholders, building trust and strong collaboration across teams

The Future We See

At CloudWalk, we envision a future where AI empowers every field to reach new heights. We believe the next generation of infrastructure will be more intelligent, more secure, and more adaptive and that the people building it must be just as versatile.

Join us at CloudWalk, where we are not just tech solutions; we are building a smarter, AI-driven future for payments and credit together.

About HighLevel:
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.
To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.
Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.

Our People
With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.

Our Impact
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.
Learn more about us on our YouTube Channel or Blog Posts

• Architect, develop, and maintain reusable frameworks, SDKs, and core platform services using Node.js and GoLang
• Build scalable, cloud-native solutions leveraging Google Cloud Platform (GCP)
• Design and optimize systems that efficiently handle large-scale data and high-throughput workloads
• Contribute to high-performance service architectures capable of handling massive scale with strong reliability and observability standards
• Lead technical design reviews, establish engineering best practices, and mentor senior engineers across teams
• Drive architectural decisions for scalability, performance, security, and maintainability
• Partner cross-functionally with product, infrastructure, and engineering teams to deliver reliable platform capabilities
• Improve developer productivity by building internal tooling, shared libraries, and scalable engineering foundations
• Lead initiatives that leverage AI effectively across engineering workflows, including code generation, testing, developer tooling, incident analysis, and SDLC automation
• Build and evolve systems, platforms, and engineering processes that improve SDLC efficiency, release velocity, reliability, and developer experience
• Take ownership of critical platform initiatives from architecture through production operations

• 9+ years of software engineering experience with demonstrated success building distributed systems or large-scale backend services
• Hands-on experience designing, optimizing, and scaling large-scale backend systems and data-intensive applications
• Strong understanding of distributed systems, microservices, APIs, CI/CD pipelines, and observability frameworks
• Experience leveraging AI-assisted engineering workflows and building systems/processes that improve SDLC effectiveness and engineering productivity
• Proven ability to lead technically, navigate ambiguity, and deliver impactful engineering outcomes
• Experience operating systems at high scale with a strong focus on performance, reliability, and resiliency
• Strong problem-solving skills with the ability to simplify complex technical challenges

• Experience building internal platforms, frameworks, or developer tooling used across multiple teams
• Strong expertise in Node.js/GoLang and cloud infrastructure, preferably GCP
• Familiarity with Kubernetes, service mesh technologies, and infrastructure automation
• Experience in high-traffic SaaS environments with a focus on scalability and resilience
• Exposure to event-driven architectures, streaming systems, or large-scale data platforms
• Experience evaluating or implementing AI-enabled developer platforms, coding assistants, or SDLC automation systems

EEO Statement:

The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.

We encourage you to review our Privacy Policy before submitting your application

About the Role

We're hiring a Senior ML Engineer to be the data team's owner of production ML and AI agent systems. You'll take models from prototype to production, build and maintain the low-latency ML API that powers our Next Best Action (NBA) engine, and partner with our HAL team to ship LLM agents that turn NBA recommendations into real conversations with credit union members and partners. This is a builder's role at a builder's moment: NBA is going live, the agent infrastructure is being shaped now, and you'll define how Clutch does production AI for years to come.

About the Team

The Data team today is five people: one data scientist, two data engineers, one data analyst, and one product manager. We're small, ambitious, and shipping fast — two ML models heading to production, an ML API being built, and two AI agents (one customer-facing, one partner-facing) in active development. You'll be the senior technical voice for ML and AI engineering inside the team, and the bridge to HAL, the platform team that builds Clutch's agent runtime. Expect tight feedback loops, real autonomy, and a team that values pragmatism over purity.

What You’ll Do

Within 3 months, you will:

• Take ownership of the ML API that serves NBA recommendations, partnering with the data engineer who's been building it, and harden it for low-latency production traffic

• Ship your first agent tool contract end-to-end: schema design, handler implementation, structured-error contract, unit tests, deployed via HAL's runtime

• Set up the eval foundation for our agents: golden transcripts, rubric-based judges, regression suites that run on every prompt or model change

• Build a working relationship with HAL and become the data team's go-to on agent infrastructure decisions

Within 6 months, you will:

• Be the primary owner (with data engineer support) of the ML API and the agent tool layer that wraps NBA and our ML models

• Have shipped at least one production-grade agent (customer-facing or partner-facing) with prompt versioning, evals, observability, and multi-tenant gating in place

• Define the data team's playbook for shipping a new ML model as an LLM-callable tool, end-to-end

• Mentor the data engineers on ML/AI patterns so they can confidently support and extend the systems you own

Within 9 months, you will:

• Operate as the technical lead within the data team for NBA production AI at Clutch — the person other teams come to when they want to understand how NBA ships ML and agents responsibly

• Have measurably improved agent cost and latency (target: 30%+ reduction on P95 latency or per-conversation cost on at least one agent)

• Be shaping the data team's roadmap for the next generation of ML and AI products, in partnership with the PM and data scientist

• Help us decide what to hire next as the team scales

What You’ll Bring

Required

• 7+ years of engineering experience, with a proven track record of building and shipping production ML systems — you've taken models from prototype to production and own what happens after deploy

• Strong Python — most of the work (ML training, evaluation, the ML API, data pipelines) is in Python, and you're comfortable in production codebases, not just notebooks. Some TypeScript is involved for tool contracts and integration with our agent runtime — you don't need to be an expert, comfort with a second language is enough

• Tool-design discipline for LLM consumption. Can take an ML model or data source and shape it into an LLM-callable tool with narrow input/output schemas, identity-required and scope-gated dispatch, and structured-error contracts (RATE_LIMITED, UPSTREAM_ERROR, NOT_FOUND) that the agent runtime converts to graceful tool-results instead of crashing

• Eval discipline for non-deterministic systems. You treat evals as the unit-test equivalent for agents: golden transcripts, rubric-based judges, regression suites that run on every prompt or model change. You understand the difference between offline metrics and online evals, and use both

• Prompt-shape literacy. You read a system prompt the way another engineer reads code: audience, register, compliance guardrails, template-var allow-list, allowed-tools section. You debug "why did the agent do that?" by reading the prompt and tool descriptions before reaching for model swaps. You've shipped at least one agent where the prompt was version-controlled and reviewed as code

• Tool implementation rigor. You build handlers behind tool contracts with identity fields read from request context (never from LLM-supplied args), output re-parsed through the tool's schema before return, structured-error throws on every failure path, and unit tests covering both happy path and each named error. You have a story about a tool you shipped, a bug production traffic surfaced, and how you hardened it

• Experience building and maintaining low-latency production APIs (FastAPI, BentoML, or equivalent), with opinions on serving, batching, and caching

• Comfortable in AWS (Lambda especially), Docker, and GitHub-based workflows

• You use AI tooling actively in your engineering workflow — not as a novelty, but as a default. You'll be expected to demonstrate this during the technical evaluation

Desired

• Production agent observability: reading audit rows, distributed traces, per-tool latency and error metrics

• Cost and latency tradeoff intuition in agent loops — has measurably reduced per-conversation cost or P95 latency on a live agent

• Familiarity with an agent runtime framework (Vercel AI SDK, LangChain, LlamaIndex, or equivalent)

• Multi-tenant agent gating experience

• Prior SaaS and/or FinTech experience

• Nice to have but not required: Databricks, PySpark, Terraform

Please note that this role may evolve as our business needs change, so we appreciate your flexibility and adaptability.

What’s In It For You?

• Remote Flexibility: Enjoy the freedom of remote work from anywhere, balancing life and career seamlessly.

• Unforgettable Off-Sites: Twice a year, bond with colleagues in exciting destinations, fostering teamwork and fresh ideas.

• Paid Time Off and National Holidays: Enjoy 20 PTO days yearly and the National Holidays for relaxation and rejuvenation.

• Stock Options: Joining us means having a stake in our success, so you'll receive stock options as part of your compensation package.

• Home Office Setup: Create your ideal workspace with a dedicated budget for home office essentials.

• Work Trip Budget: Grow personally and professionally with a budget for work-related trips and co-working.

About Us

Clutch is a revolutionary vertical SaaS company, proudly backed by Andreessen Horowitz (A16z), aimed at revolutionizing the way Credit Unions engage and change the lives of their members. As a champion of financial well-being, we address the urgent need for affordable lending solutions in an era where the average American grapples with over $155,000 in household debt.  Unlike traditional financial institutions, Clutch develops software to turn Credit Unions into FinTech lenders and leverage their balance sheets to responsibly lend to over 130M Americans. Our mission extends beyond mere financial transactions; we strive to fundamentally enhance the way credit unions interact with their members. By integrating cutting-edge technologies and user-centric designs, we help credit unions provide seamless digital experiences that are on par with leading tech companies. This approach not only preserves but revitalizes the longstanding tradition of community and member-focused service inherent to credit unions.

Please note: This position is offered on a contractor basis. Applicants must have the necessary documentation and authorization to work in the country where the job is located. Clutch cannot provide sponsorship or assist with obtaining work permits for this role.

• Design and build high-performance Python services alongside senior engineering and product teams — scalable by design, not by accident.
• Architect integrations with third-party APIs and external platforms, setting the patterns and practices the wider team follows.
• Own system reliability — build distributed systems that hold up under real financial workloads, with a relentless focus on scalability and security.
• Translate business requirements into technical architecture, working across product, design, and engineering.
• Raise the bar on code quality — write clean, testable, efficient Python code and lead thorough code reviews.
  
  

• 5+ years of Python development experience with deep backend expertise.
• Proven track record building high-performance APIs with FastAPI or other ASGI-based frameworks.
• Deep understanding of RESTful APIs and distributed systems design.
• Hands-on experience with CI/CD pipelines (GitHub preferred), Docker, and cloud platforms (AWS or GCP).
• Strong SQL and NoSQL database skills — MariaDB, MongoDB, or similar.
• The architectural judgment to make the right call under pressure.
• Clear, direct communication — equally effective with engineers and product leads.
  
  

• UK£100K – £250K
• Offers Equity
• US$150K – $400K
• Offers Equity
  
  

• 6+ years of software engineering experience, with a track record of operating production systems at meaningful scale in high-growth, high-quality environments.
• Strong systems instincts and real opinions about latency, reliability, and cost. You know what breaks first under load, and you design around it.
• Driven by creating a world-class product with a world-class team, want to own what you build, and you're happy redesigning systems as production teaches you something new.
• Comfortable building across the full stack, a keen learner who picks up new languages, technology stacks, and concepts quickly.
• Experience working in a fast paced environment, taking systems from prototype to scaled production in weeks.
  
  

• Experience working on production AI inference or model serving systems.
• Experience working on realtime systems such as voice, live communications, or streaming.
• Experience working on large-scale data pipelines or evaluation systems.
• Experience working with ML codebases (we don't need you to be an ML Engineer, but having an interest in AI helps!)
  
  

• Collaborate within a cross-functional team spanning engineering, machine learning, and product to quickly design, build, and launch new features across the stack.
• Work comfortably across all parts of our stack, which includes core backend (Kotlin), ML scripts for evaluation, data processing, and inference (Python), low-level media streaming (Rust), the app (Dart/Flutter), and internal tooling (Next.js/TypeScript).
• Elevate user experience by continually refining the reliability, performance, and scalability of the systems behind Ash.
• Rapidly investigate, diagnose, and resolve production issues with a focus on latency, reliability, and cost.
• Take initiative to independently prototype new features based on customer feedback and your own product intuitions.
  
  

• A chance to join a passionate tight-knit team working on something to change the world
• Competitive compensation (top of personal market)
• Travel between our NYC / London offices
• Usual startup perks like free lunch and coffee in office + generous learning budget
• We cover your personal therapy
  
  

• Build and improve high-quality frontend features across the Over99 webapp and games surfaces.
• Work with React, Vue 3, TypeScript, Vite, and modern frontend tooling to deliver fast, reliable user experiences.
• Help build interactive product flows for wallets, balances, gameplay, account features, promotions, and real-time updates.
• Collaborate with senior engineers on frontend architecture, reusable components, state management, and performance optimization.
• Work with real-time client-server features using technologies like Socket.IO, WebSockets, and event-driven updates.
• Contribute to game-facing frontend experiences involving animations, sound, timing, physics, and responsive interaction patterns.
• Partner closely with product managers, designers, backend engineers, and QA to deliver polished end-to-end features.
• Use Cursor IDE, LLMs, and AI-assisted coding workflows heavily as part of day-to-day engineering, including MCP-powered integrations and custom tooling on top of Cursor.
• Learn and contribute to observability practices using tools like Datadog to understand frontend health and user impact.
• Write maintainable, tested code and participate in code reviews, CI/CD workflows, and team engineering standards.
• Grow quickly through mentorship, hands-on ownership, and exposure to production-scale crypto gaming systems.
  
  

• React
• TypeScript
• Vite
• Vue 3
• Tailwind CSS / Sass
• React Query / Vue Query
• Pinia / Vuex
• Socket.IO / WebSockets
• Node.js
• PostgreSQL
• Redis
• RabbitMQ
• Cursor IDE / LLM-assisted development
• MCP integrations
  
  

• Matter.js
• GSAP
• Howler
• Animation and rendering performance
• Real-time gameplay UX
  
  

• Datadog
• AWS
• CI/CD Pipelines
• Docker
• iGaming, crypto, or gaming products
  
  

• Recent graduate or early-career engineer with strong frontend fundamentals and a portfolio, internship, co-op, or project experience to show.
• Proficiency with JavaScript, TypeScript, HTML, CSS, and modern frontend development.
• Experience building web applications with React, Vue, or similar modern frontend frameworks.
• Solid understanding of component architecture, state management, API integration, and responsive UI development.
• Interest in high-performance interactive experiences, including animations, real-time updates, and client-server communication.
• Comfort using or learning AI-assisted engineering workflows with Cursor IDE, LLMs, and related developer tools.
• Comfort working with Git, code reviews, CI/CD workflows, and modern development tooling.
• Strong problem-solving skills, attention to detail, and eagerness to learn from senior engineers.
• Ability to work remotely while staying communicative, reliable, and ownership-driven.
  
  

• Experience with React Query, Vue Query, Pinia, Vuex, or similar state/data management tools.
• Experience with Socket.IO, WebSockets, or real-time product features.
• Experience with animations, canvas-style interactions, physics engines, sound, or game UI.
• Exposure to Node.js APIs or backend-adjacent development.
• Hands-on experience with Cursor, MCP servers, AI coding agents, custom IDE integrations, or other LLM-assisted development workflows.
• Background in crypto, gaming, gambling, or iGaming platforms.
• Familiarity with observability tools like Datadog.
• Experience with cloud deployment, Docker, or AWS.
  
  

• Be part of a fast-growing and well-funded startup at the intersection of gaming and blockchain.
• Work with a world-class engineering team—collaborative, autonomous, and impact-driven.
• Build next-generation systems with full ownership over architecture and implementation.
• Remote-first culture with flexible hours, asynchronous communication, and no micromanagement.
• A product and mission you’ll actually be excited about.
  
  

• Design, build, and maintain backend microservices in Go and Java/Quarkus within our domain-oriented architecture (customer, account, transactional, and shared domains).
• Own services end-to-end: architecture, implementation, testing, deployment to QA/SBX/PROD, monitoring, and on-call ownership of what you ship.
• Build event-driven and REST integrations across services (Pub/Sub, service-to-service REST via our private-proxy mesh), with strong guarantees around idempotency, reconciliation, and failure handling (dead-letter/reprocess, no silent data loss).
• Model and evolve data across MongoDB and SingleStore/MemSQL, keeping dual-write flows consistent between the display source of truth and what card authorization actually validates.
• Ship through our CI/CD (Jenkins shared pipelines, containerized deploys to GKE/Kubernetes on GCP), managing configuration and secrets via GCP Secret Manager.
• Write clean, self-documenting, well-tested code; participate in code reviews and raise the engineering bar for correctness and simplicity.
• Collaborate cross-functionally with Product, Infra/Platform, and other backend squads to break down epics into shippable, incremental deliveries.
• Instrument observability (structured logging, metrics, tracing) and use it to debug production issues and continuously improve reliability and performance.
• Contribute to technical design docs, architecture diagrams, and shared conventions/scaffolding that scale the team.
  
  

• Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent hands-on experience).
• +5 years of experience building and operating backend services in production, ideally in the Banking or Fintech industry.
• Strong proficiency in at least one of Go or Java (Quarkus/Spring or similar), and willingness to work across both in a polyglot environment.
• Solid experience with microservices and distributed systems: REST APIs, asynchronous/event-driven messaging (Pub/Sub, Kafka, or similar), service boundaries, and versioned contracts.
• Hands-on experience with cloud infrastructure (GCP preferred), containers and Kubernetes, and CI/CD pipelines.
• Comfort with both SQL and NoSQL data stores (MongoDB, SingleStore/MySQL/Postgres) and an eye for data consistency in money-critical flows.
• Deep understanding of reliability patterns — idempotency, retries, reconciliation, graceful degradation — and why they matter when handling real money.
• Familiarity with fintech/payments concepts (card authorization, ledgers, transfers, credit) is a strong plus.
• Customer Centricity: You're customer-obsessed, constantly thinking about improving the customer experience.
• Hands-on: We're looking for a comfortable and willing leader to be a hands-on contributor who is energized by rolling up their sleeves, making things happen, and enabling the team to do the same.
• Done is better than perfect: As things change and move quickly, you are excited by the fast pace and opportunity to constantly learn and help your team learn.
• Communication: Excellent ability to communicate internally and externally, quickly build relationships, and work cross-functionally.
• Extreme ownership: You hold yourself accountable to a high bar. You are supremely organized and see what needs to happen to achieve goals.
• Results & Data Driven: You understand the business metrics you are responsible for, and you demonstrate these insights to drive constant improvement.

About Us:

Zensurance is redefining commercial insurance for Canadian businesses. 

As a leading InsurTech, we make getting the right coverage simple, fast, and accessible through a digital-first experience. Our platform combines advanced technology with deep industry expertise to deliver tailored insurance solutions that help businesses thrive.

Zensurance has been recognized for its rapid growth and industry impact:

✅ Deloitte’s Technology Fast 50 (2023, 2024, 2025)

✅ Deloitte’s Technology Fast 500 (2024, 2025)

✅ Top Insurance Employers (2022)

At Zensurance, we value ownership, collaboration, and innovation. Our team thrives on solving complex challenges, challenging the status quo, and making a real impact in an industry ready for change. 

If you're looking to build something meaningful in a fast-growing, customer-focused company, we’d love to hear from you!

We’re hiring Tech Leads to support our Core and Payments teams.

Our Core team is responsible for the engine driving the company’s key goals such as adding more relevant insurance products with great prices on our website and delivering relevant insurance documents to our customers with ease.

The Payments Team is responsible for understanding, evaluating, and improving our checkout experience which includes customer data confirmation, e-sign, financing, payment collection and invoicing integrations backed by third-party solutions

As a Tech Lead, you will bring deep technical expertise to help steer the Engineering team's technical direction, reinforcing our culture of iterative, autonomous development and deployment. Your primary focus will be on addressing security and scalability considerations, collaborating closely with the Product Manager, Team Lead, Engineers, and Staff Developers to design and implement systems and processes that enable your team to deliver effectively.

As a senior member of the team, you can articulate your thinking clearly, discuss complex ideas with ease, and manage your time well to meet important deadlines while also mentoring other team members as needed.

Reporting to the Engineering Manager, you will design and implement solutions for both the front-end application and the back-end APIs.

This is a remote-first role within Canada. #LI-Remote

• Collaborate with project stakeholders and the development team to design, build, and implement scalable, user-friendly apps and libraries using Node, React, and Typescript.
• Collaborate with Product Management to examine, adjust, and break down roadmap items into epics and break down epics into discreet, actionable, appropriately sized tickets in the team’s backlog.
• Provide a technical perspective on organizational objectives within the team’s scope of activities. Analyze requirements, identify areas of concern, and provide recommendations based on your extensive technical background.
• Using POC models provided by Staff Developers, design and implement systems and infrastructure in accordance with the team’s vision and culture.
• Adhere to the organization’s security strategy using a security-first mindset.
• Discuss various strategies and architecture and highlight tradeoffs for potential solutions.
• Perform code reviews, ensuring that pull requests accurately reflect the acceptance criteria of the tickets they address.
• Use quality metrics to identify gaps in the testing strategy. 
• Work with teams to recommend solutions that are in accordance with accepted testing frameworks.
• Manage and optimize the integration of third-party systems into our infrastructure while ensuring the reliability, performance, and security of these systems. You will collaborate closely with cross-functional teams to identify integration needs, implement solutions, and monitor system performance to guarantee uninterrupted service delivery.
• Define and prioritize areas of technical debt and bugs, taking into consideration outcomes of the incident management process and addressing them with the team.
• Foster a culture of iterative deployability with awareness of cycle time and failure rates.
• Coach and mentor the development team and work to expand their technical knowledge and skills.
• Use a systematic approach to debugging to diagnose issues within the application.
• Write unit tests as well as higher-level tests to ensure application quality and stability.
• Consistently produce production-ready code that is easily testable, easily understandable, and accounts for edge cases and errors, using comments and other documentation strategies where appropriate.
• Follow Agile practices, suggest improvements, and participate in team events.
• Develop a strong understanding of the company’s goals and initiatives and help the engineering team deliver on those goals/initiatives.
• Ensure technical standards such as accessibility, performance, security, maintainability, functional correctness, operability and observability are observed in the modules developed and maintained by the team.
• Document decisions, research and guides to foster and build a culture of continuous learning and continuous improvement.

• University degree or college diploma in a recognized technical, vocational or academic program or equivalent work experience.
• 7+ years of experience building rich, complex and scalable APIs, including integration with third party APIs.
• 5+ years of building front-end web applications using modern Javascript frameworks.
• 2+ experience in designing scalable and distributed systems.
• Experience mentoring other developers.
• Extensive full-stack experience working with React/Redux/Node/Typescript/PostgreSQL and Javascript.
• Extensive experience with the Scrum framework and Agile methodologies.
• Familiarity with DORA metrics to measure the DevOps Performance and experience in communicating what’s been measured with the team. 
• Experience architecting and augmenting large software systems.
• Experience with Javascript development toolings like WebPack, Babel, and Storybook.
• Experience with Unit Testing frameworks like Jest/Mocha.
• Experience building and/or working with micro-services and micro front-ends.

• Experience working with test automation frameworks like Cypress, Nightwatch, Selenium, and BrowserStack.
• Experience working with Infrastructure as Code using tools like Terraform, Pulumi and AWS.
• Experience with containerization tools such as Docker or Kubernetes.

Join Our Engineering Team - Where Growth Meets Innovation

At Zensurance, we believe engineering is more than just writing great code. It’s about learning, growing, and building something meaningful together. Our remote-first team is a place where you’ll be challenged, supported, and encouraged to thrive. Here’s what makes our team special:

✔ A Leadership Team That’s Got Your Back

Our experienced and approachable engineering leaders aren’t just here to manage - they’re here to mentor, guide, and help you unlock your full potential.

✔ Fuel Your Growth

We invest in your learning with training budgets, professional development programs, and mentorship opportunities. Want to explore a new tech stack or level up your skills? We can help get you there.

✔ A Culture of Sharing & Support

From Power-Ups and book clubs to tech talks and hackathons, we believe in learning from each other. Have a cool idea or an interesting challenge? Let’s solve it together.

✔  Hack, Build, and Innovate

Twice a year, we hit pause on our regular work for company-wide hackathons, giving you the chance to experiment, push boundaries, and build something awesome.

✔ Clear Career Growth, No Guesswork

We don’t do vague career paths. Our well-defined growth tracks show you exactly what’s needed to take your career to the next level, in a way that aligns with your skills and ambitions.

And the best part? You’ll work on exciting projects using cutting-edge technologies like TypeScript, NestJS microservices, and micro-frontends with React. If you're looking for a team that values learning, collaboration, and impactful work, we’d love to meet you!

Benefits & Perks at Zensurance:

At Zensurance, we know that when our people thrive, so does our business. That’s why we offer a flexible, people-first work environment designed to support your well-being, growth, and success.

💻 Work Your Way

• Remote-first setup for added flexibility 

• Home office allowance to create a comfortable workspace

• Top-tier tech: "Office in a box" with all necessary tech equipment

• Half days before public holidays: Enjoy half days before long weekends

❤️ Your Health, Your Way

• Flexible health and dental plans for families, including mental health support

• Health & personal spending accounts to invest in wellness your way

• Parental leave top-up, because family comes first

🚀 Investing in Your Growth

• Education assistance reimbursement for courses, conferences, books, and memberships

• Opportunities to learn from industry experts and grow your career

🤝 Staying Connected

• Weekly Friday huddles to share updates and connect across teams

• Virtual & in-person team-building events to strengthen our culture

We’re building something special. Come be a part of it!

Who We Are:

Business is hard work, but insurance doesn’t have to be!

We empower business owners with simple, tech-driven insurance solutions through our online platform. 

Our success is fueled by our team-oriented culture and four core values:

DELIVER – We set ambitious goals and achieve them.

INCLUDE â€“ We foster an open and safe space for all.

INTEGRITY â€“ We do what’s right.

INVENT â€“ We create straightforward, innovative solutions.

AI Tools and Your Interview:

We know AI is a valuable tool, and you're welcome to use it to prepare for your interview. However, please don't use AI assistants during the live interview itself. We want to have an authentic conversation with you, and using AI during the interview could affect our evaluation of your suitability for the role.

Just so you know, we use an AI scribe to help us take notes and review interviews, ensuring a fair and clear process.

Diversity & Inclusion:

Zensurance celebrates diversity and is committed to creating an inclusive environment. We welcome applications from all backgrounds and provide accommodations throughout the hiring process. If you need support, let us know, we’re here to help.

Thank You!

We review every application with care to find the best fit for our team.

While we may take a little time to get back to you due to the high volume of applications we receive, know that a real human (not a bot!) is reviewing yours. We appreciate your patience and can't wait to learn more about you!

Why TrueML?

TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions. 

The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.

What We Offer (Perks & Benefits)

• Flexible vacation

• Medical/dental/vision insurance

• Traditional/Roth retirement savings options

• Company-paid disability and life insurance

• Flexible Spending Account & Limited FSA

• Family-friendly parental leave, volunteer and voting time off

• On-demand wellness platform access for you and 5 friends and family

• PerkSpot discount program for 900+ merchants nationwide

Remote Work, Travel Expectations & Physical Requirements:

This role supports a global, cross-functional business and operates primarily in a Remote-First environment. However, flexibility outside of standard business hours and occasional local or international travel may be necessary for global operations support, company meetings, training, offsites, and collaborative projects.

This position primarily involves computer-based work, requiring extended periods at a computer, participation in virtual meetings, and use of standard office technology. We will consider reasonable accommodations to enable individuals to perform the essential functions of the role.

Maintaining a reliable internet connection and a professional work environment is expected. The ability to protect confidential company, employee, customer, and business information while working outside of a company office is also required.

Personally Identifying Information

We collect personal information for employment purposes. We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our Privacy Policy.

Dedication to Diversity & Inclusion

We are  an equal opportunity employer. We promote, value, and thrive with a diverse and inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.

• Build and improve high-quality frontend features across the Over99 webapp and games surfaces.
• Work with React, Vue 3, TypeScript, Vite, and modern frontend tooling to deliver fast, reliable user experiences.
• Help build interactive product flows for wallets, balances, gameplay, account features, promotions, and real-time updates.
• Collaborate with senior engineers on frontend architecture, reusable components, state management, and performance optimization.
• Work with real-time client-server features using technologies like Socket.IO, WebSockets, and event-driven updates.
• Contribute to game-facing frontend experiences involving animations, sound, timing, physics, and responsive interaction patterns.
• Partner closely with product managers, designers, backend engineers, and QA to deliver polished end-to-end features.
• Use Cursor IDE, LLMs, and AI-assisted coding workflows heavily as part of day-to-day engineering, including MCP-powered integrations and custom tooling on top of Cursor.
• Learn and contribute to observability practices using tools like Datadog to understand frontend health and user impact.
• Write maintainable, tested code and participate in code reviews, CI/CD workflows, and team engineering standards.
• Grow quickly through mentorship, hands-on ownership, and exposure to production-scale crypto gaming systems.
  
  

• React
• TypeScript
• Vite
• Vue 3
• Tailwind CSS / Sass
• React Query / Vue Query
• Pinia / Vuex
• Socket.IO / WebSockets
• Node.js
• PostgreSQL
• Redis
• RabbitMQ
• Cursor IDE / LLM-assisted development
• MCP integrations
  
  

• Matter.js
• GSAP
• Howler
• Animation and rendering performance
• Real-time gameplay UX
  
  

• Datadog
• AWS
• CI/CD Pipelines
• Docker
• iGaming, crypto, or gaming products
  
  

• Recent graduate or early-career engineer with strong frontend fundamentals and a portfolio, internship, co-op, or project experience to show.
• Proficiency with JavaScript, TypeScript, HTML, CSS, and modern frontend development.
• Experience building web applications with React, Vue, or similar modern frontend frameworks.
• Solid understanding of component architecture, state management, API integration, and responsive UI development.
• Interest in high-performance interactive experiences, including animations, real-time updates, and client-server communication.
• Comfort using or learning AI-assisted engineering workflows with Cursor IDE, LLMs, and related developer tools.
• Comfort working with Git, code reviews, CI/CD workflows, and modern development tooling.
• Strong problem-solving skills, attention to detail, and eagerness to learn from senior engineers.
• Ability to work remotely while staying communicative, reliable, and ownership-driven.
  
  

• Experience with React Query, Vue Query, Pinia, Vuex, or similar state/data management tools.
• Experience with Socket.IO, WebSockets, or real-time product features.
• Experience with animations, canvas-style interactions, physics engines, sound, or game UI.
• Exposure to Node.js APIs or backend-adjacent development.
• Hands-on experience with Cursor, MCP servers, AI coding agents, custom IDE integrations, or other LLM-assisted development workflows.
• Background in crypto, gaming, gambling, or iGaming platforms.
• Familiarity with observability tools like Datadog.
• Experience with cloud deployment, Docker, or AWS.
  
  

• Be part of a fast-growing and well-funded startup at the intersection of gaming and blockchain.
• Work with a world-class engineering team—collaborative, autonomous, and impact-driven.
• Build next-generation systems with full ownership over architecture and implementation.
• Remote-first culture with flexible hours, asynchronous communication, and no micromanagement.
• A product and mission you’ll actually be excited about.