{"id":2202373,"url":"https://alion.io/job/tabs-staff-infrastructure-engineer","title":"Staff Infrastructure Engineer","company":{"id":717047,"name":"Tabs","domain":"tabs.com","url":"https://alion.io/company/tabs-4","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":91,"open_postings":23,"ghost_share":0,"stale_share":0.13,"repost_share":0.043,"time_to_fill_p50_days":68,"computed_at":"2026-10-12T06:55:09Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":220000,"max":270000,"currency":"USD","period":"year","gross":null,"usd_annual":270000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"AWS","optional":false},{"name":"AWS Fargate","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Apache Kafka","optional":true},{"name":"JavaScript","optional":true},{"name":"Node JS","optional":true},{"name":"Prisma","optional":true}],"status":"live","first_seen_at":"2026-10-09T21:06:43Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T21:13:23Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Tabs is the AI Operating System for Revenue, built for modern finance and accounting teams. It combines deep revenue and accounting expertise with the agents and applications needed to run revenue work end to end. Tabs understands customer and contract context, applies accounting logic, and executes critical workflows with built in controls, auditability, and human oversight. With Tabs, finance teams can move from manually managing revenue workflows to directing outcomes while the system executes the work.\nAbout the Role\nWe're looking for a Staff Infrastructure & Reliability Engineer to own the foundation Tabs runs on: our AWS environment, how we ship software, and how we know when something is wrong. You'll set infrastructure direction for the company as a hands-on individual contributor, partnering with our platform team, our product engineers, and the product teams who build on what you build.\nTabs is building, not maintaining. We're at the point where infrastructure is becoming a real investment area, and the decisions made in this seat will shape how the whole engineering org ships for years. Payments, billing, and revenue for high-growth companies come with real compliance requirements. The goal is to build it correctly, keep it easy to maintain, and evolve it as we grow.\nThis is not a corner seat. You'll be expected to shape engineering and product decisions, and you'll have engineering leadership that understands infrastructure work and will pressure-test your calls. You won't be working alone: you'll own the outcomes, with high-caliber engineers around you.\nWhat You'll Own\nAWS infrastructure direction and platform evolution, including the migration from ECS/Fargate toward a more modern, scalable runtime\n\nInfrastructure as code and container foundations, with Terraform and Docker at the core\n\nCI/CD systems with a strong emphasis on developer experience, safety, and automation (GitHub Actions today; maturing CD tomorrow)\n\nEphemeral environments and preview deploys to speed iteration and increase confidence in changes\n\nObservability standards across metrics, logs, and tracing, including alert hygiene, dashboards, and SLO development\n\nIncident response, on-call, postmortems, and the reliability culture that surrounds them\n\nWhat You'll Do\nDefine and evolve reliability standards, SLIs, SLOs, and error budgets\n\nImprove observability, alerting, and incident processes across services\n\nLead high-severity incidents hands-on and drive clear, actionable follow-ups\n\nPartner with engineering teams to design resilient, scalable systems\n\nWrite production-quality code and automation to reduce toil and lower operational risk, so repeated problems get solved once\n\nMentor engineers and influence best practices across teams\n\nWho You Are\nYou're a software engineer first, and your infrastructure expertise is built on that foundation\n\nYou've run production systems on AWS and can lead platform-level change\n\nYou think in systems: risk, rollback strategy, blast radius, and feedback loops\n\nYou treat CI/CD and environments as products that should be fast, reliable, and self-serve\n\nYou dig into logs and data yourself when something breaks, especially under pressure\n\nYou influence through trust and clarity rather than control\n\nYou balance pragmatism with long-term system health\n\nYou value learning from failure and improving processes over assigning blame\n\nYou communicate clearly and work well across teams\n\nExperience\n8+ years in software engineering, infrastructure, or SRE roles\n\nExperience in one or more modern languages such as TypeScript with a track record of writing production-quality scripts, tools, and services, and still hands-on today\n\nDeep hands-on experience running production workloads on AWS, including container platforms such as ECS/Fargate\n\nExpertise with infrastructure as code using Terraform, and ownership of Docker and Git workflows in production\n\nSolid working knowledge of Kubernetes and Helm\n\nExperience designing and running CI/CD systems such as GitHub Actions, including build parallelization and developer experience improvements\n\nDeep experience with observability tooling across metrics, logs, tracing, and alerting, including defining SLIs, SLOs, and error budgets\n\nExpertise operating distributed systems in production at scale, with an implementation-level understanding of messaging systems, partitioning, deploy strategies, and failure modes\n\nA track record of leading high-severity incidents, debugging live production issues from logs and data, and running blameless postmortems\n\nExperience proposing and evaluating multiple architectures, making trade-offs that fit the company's stage, and driving infrastructure decisions across teams\n\nExperience across more than one architecture or company environment, ideally including both larger companies and high-growth startups\n\nComfortable navigating ambiguity and setting direction in a fast-moving environment\n\nExperience mentoring engineers and shaping infrastructure practices across an engineering org\n\nNice to Have\nExperience owning broad infrastructure surface area at a high-growth startup, including as the primary infrastructure or SRE owner\n\nExperience operating Kafka or a similar distributed messaging system at scale\n\nExperience building developer tooling that engineers adopt and rely on\n\nPrisma expertise\n\nThis role is based onsite in our Soho office in New York City\nPerks and Benefits (Full-time Employees)\nCompetitive compensation and equity\n\nUnlimited PTO\n\nUp to 100% employer covered monthly healthcare premium (medical, dental, vision)\n\nLunch provided via Sharebite, plus dinner for any later in office days.\n\nParental leave up to 12 weeks\n\nTax free commuter and parking benefits\n\nVoluntary insurances (Life, Hospital, Critical Illness, Accident)\n\nEmployee Assistance Program (Rightway)\n\nFree One Medical Membership\n\n401k\n\nTabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. 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