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Tabs is an AI Operating System for Revenue, built for modern finance and accounting teams. The company combines deep revenue and accounting expertise with AI agents and applications to help finance teams automate revenue workflows end-to-end, with built-in controls, auditability, and human oversight.
You'll join as Staff Infrastructure & Reliability Engineer, owning the foundation that Tabs runs on: AWS infrastructure, software delivery systems, and observability. This is a hands-on individual contributor role at a critical inflection point—infrastructure is becoming a major investment area, and the decisions you make will shape how the entire engineering organization ships for years to come.
The role is not isolated. You'll partner closely with the platform team, product engineers, and product teams building on your infrastructure. You'll set direction while remaining hands-on, and you'll have engineering leadership that understands infrastructure work and will pressure-test your decisions. Given the compliance requirements around payments, billing, and revenue for high-growth companies, the goal is to build infrastructure correctly, keep it maintainable, and evolve it as the company scales.
Key ownership areas include: AWS infrastructure direction and platform evolution (including migration from ECS/Fargate to more modern runtimes); infrastructure as code and container foundations using Terraform and Docker; CI/CD systems with emphasis on developer experience, safety, and automation; ephemeral environments and preview deploys; observability standards across metrics, logs, and tracing; and incident response, on-call, and reliability culture.
You'll define and evolve reliability standards, SLIs, SLOs, and error budgets; improve observability and alerting; lead high-severity incidents hands-on; partner with teams on resilient, scalable system design; write production-quality code and automation to reduce toil; and mentor engineers across the organization.
You're a software engineer first with deep infrastructure expertise. You've run production systems on AWS and can lead platform-level change. You think in systems—risk, rollback strategy, blast radius, feedback loops. You treat CI/CD and environments as products that should be fast, reliable, and self-serve. You dig into logs and data when things break, especially under pressure. You influence through trust and clarity, balance pragmatism with long-term health, and value learning from failure. You communicate clearly and work well across teams.
REQUIREMENTS:
- 8+ years in software engineering, infrastructure, or SRE roles
- Experience in one or more modern languages (e.g., TypeScript) with a track record of writing production-quality scripts, tools, and services; still hands-on today
- Deep hands-on experience running production workloads on AWS, including container platforms such as ECS/Fargate
- Expertise with infrastructure as code using Terraform, and ownership of Docker and Git workflows in production
- Solid working knowledge of Kubernetes and Helm
- Experience designing and running CI/CD systems such as GitHub Actions, including build parallelization and developer experience improvements
- Deep experience with observability tooling across metrics, logs, tracing, and alerting, including defining SLIs, SLOs, and error budgets
- Expertise operating distributed systems in production at scale, with implementation-level understanding of messaging systems, partitioning, deploy strategies, and failure modes
- Track record of leading high-severity incidents, debugging live production issues from logs and data, and running blameless postmortems
- Experience proposing and evaluating multiple architectures, making trade-offs that fit company stage, and driving infrastructure decisions across teams
- Experience across more than one architecture or company environment, ideally including both larger companies and high-growth startups
- Comfortable navigating ambiguity and setting direction in a fast-moving environment
- Experience mentoring engineers and shaping infrastructure practices across an engineering organization
NICE TO HAVE:
- Experience owning broad infrastructure surface area at a high-growth startup as primary infrastructure or SRE owner
- Experience operating Kafka or similar distributed messaging system at scale
- Experience building developer tooling that engineers adopt and rely on
- Prisma expertise
