Senior Infrastructure/ DevOps Engineer Fintech

Lazer is a world-class digital product studio composed of 180+ senior engineers and designers with backgrounds from companies like Apple, Google, Coinbase, and more. With our product experience, we have designed, engineered, and grown products from $0 to $200M in revenue.

Clients seek out our help because we have the talent to deeply understand their needs and provide industry, technical, or product insights that are uniquely valuable to their efforts. Our clients range from early-stage startups and venture studios to recognizable retail brands and exciting enterprises. Some of our notable clients include Google, Shopify, Coinbase, Alchemy, Hinge, OVO, Polymarket, and more.

We are a remote-first organization headquartered in Toronto, Ontario, with employees worldwide. We believe in providing the best experience possible for all Lazerites by fostering a strong community through regular events, company vacations, competitive compensation, unlimited PTO, and more!

Join Lazer and help us solve problems and build the next generation of products!

Who You Are:

• Seniority: Minimum of 5 years dedicated experience in DevOps, Infrastructure, or SRE roles. Expert tooling: expert with Docker, Kubernetes (k8s), and Terraform/Pulumi.

• Cloud proficiency: Deep, proven expertise in either AWS or GCP infrastructure, with the ability to quickly grasp and transition to other cloud providers.

• Development skills: Strong ability to write clean, maintainable code for automation in Go, Python, or Node.js.

• Security focus: Demonstrable experience implementing and maintaining modern cloud security controls and meeting key compliance standards (SOC 2, PIPEDA, HIPAA, and/or GDPR).

• Independent, proactive, and cross-functional: Proven ability to quickly onboard, diagnose problems, and propose and implement solutions with minimal oversight. Experienced in a consultant or freelancer capacity, with the ability to understand and communicate effectively with both technical and non-technical stakeholders.

  
  What You'll Do:

  • Infrastructure as Code (IaC): Quickly implement and adapt infrastructure using Terraform, Pulumi, or other major IaC tools.

  • Containers: Docker is critical. Deeply understand how to design, build, and optimize secure, multi-stage Dockerfiles.

  • CI/CD: Design, build, and manage robust CI/CD pipelines to automate testing, building, and deployment across environments.

  • Core cloud services (AWS or GCP): Provision and manage foundational services. Deep expertise in one major provider is required, transferable to the other.

  • Container compute: Expertise in at least one major container platform: EKS, GKE, ECS, Fargate, or Cloud Run. (Kubernetes is highly valued, particularly EKS or GKE.)

  • Networking: Know when to use load balancers, VPNs for secure connectivity, and private VPCs for isolation. Apply subnetting, routing, VPC peering, and NAT gateways to build secure systems.

  • Storage: S3 (AWS) or Cloud Storage (GCP).

  • Databases: RDS (AWS) or CloudSQL (GCP).

  • Serverless: Deploy event-driven components using AWS Lambda, GCP Cloud Functions, or equivalents.

  • CDNs and message queues.

  • Security: Protect PII; apply encryption, secrets management, network firewalls, and web application firewalls (AWS WAF, GCP Cloud Armor) following security best practices.

  • Automation and scripting: Write high-quality automation and tooling in Go, Python, Node.js, or Bash for client-specific operational challenges.

  • Monitoring and operations: Ensure robust monitoring and high system uptime.
    
    Nice to Have:

    The following would be a bonus experience to have, though highlight any additional experience or skills you may have. We like working with people with varied backgrounds and experiences.

    • Production AI/agent experience: Hands-on experience running LLM or agent systems in production, including how they fail differently from deterministic services: nondeterministic outputs that break conventional testing and alerting, runaway token and inference cost, and partial failures on multi-step chains.

    • AI observability and cost control: Tracing multi-step agent runs, treating token cost, latency, and output quality as first-class metrics, and keeping inference spend in check with budgets, rate limiting, and caching (Langfuse, LangSmith, Arize, or similar).

    • The infrastructure AI systems run on: Model gateways and provider routing with failover (LiteLLM, Bedrock, Vertex), durable execution for long-running multi-step workflows (Temporal, Step Functions, Inngest), eval and regression pipelines for prompt or model changes, and the retrieval, vector-store, and context plumbing these systems depend on (including MCP). Vector databases and GPU/TPU compute where relevant.

    • Domain experience in fintech or crypto/web3 environments.

    • Crypto/web3 infrastructure: running nodes (Ethereum, Solana, or others), indexing solutions (The Graph, custom indexers), or RPC infrastructure.

    • Payment processing, ledger architecture, or financial transaction systems, and meeting compliance requirements in regulated environments.

    • High-volume, mission-critical systems: real-time data flows, websocket feeds, payment rails, or distributed architectures handling millions of transactions.

    • Certifications: AWS or GCP cloud certifications are a plus, not mandatory.

    • Advanced monitoring (Prometheus, Datadog) or logging experience.
      
      

AI in our hiring process
We use AI to help us review and shortlist applications based on job-related criteria. A human hiring manager always makes the call on who moves forward. As a company that builds with AI every day, we're all for candidates using it too — just be upfront about how it helped.

Why Work With Us

• 🚀 Accelerate Your Growth: Work across multiple industries and cutting-edge projects with a team that ships fast.

• 💥 Maximum Impact: Shape the future of the tech industry by helping ambitious projects reach their potential.

• 🏅 True Ownership: Everyone ships code and has real autonomy with minimal meetings.

• 💡 Continuous Learning: Be part of a team of senior engineers and designers who love learning and knowledge sharing.
  

Why This Might Not Be For You

• 🤖 You Resist Modern Tools: We leverage AI and cutting-edge technology to build rapidly and focus our energy on solving the most complex, high-impact challenges for our clients.

• 🏗️ You Crave High Structure: We thrive in an autonomous, fast-moving environment, which means you need to be comfortable with some ambiguity.

• 😴 You Prefer Conventional Careers: Our consulting approach involves varied projects and direct client interaction — it's not for everyone.

• 1️⃣ You Like Staying in One Lane: Our projects require adapting to different tech stacks and modern tooling quickly.

Benefits & Perks

• 🌐 Work From Anywhere: Choose your workspace — all you need is strong wifi and a passion for building!

• 🧘‍♂️ Work / Life Balance: We believe in our team’s ability to have it all; a great career, and time to unplug and live…you know...life.