numeric

Software Engineer, Developer Infrastructure

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Posted within 60 days ·

  • onsite
  • FullTime
  • Engineering
  • San Francisco
Work arrangement
onsite
Employment
FullTime
Stated compensation
USD 150,000–290,000 1 YEAR
Stated sponsorship
Not stated
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Requirements

2 with evidence7 unclear or unstated
Remote policy
onsite
“Provider workplace type: onsite”
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Minimum experience (years)
3
“3+ years of software engineering experience, including significant time on infrastructure, platform, or developer-productivity work.”
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Employment type
FullTime
Compensation
USD 150,000–290,000 1 YEAR
7 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
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READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

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Why NumericEvery business runs on accounting, but the systems underneath it were built for a different era. Today’s ERPs don’t store a company’s financial data. They store a diluted copy of it. Every contract, lease, and invoice gets flattened into a journal entry, and the context that made it meaningful is thrown away. That’s why accounting teams spend every month re-checking numbers, stitching together spreadsheets, and waiting on engineering, and why AI struggles to do real accounting work. Accounting doesn’t have a reporting problem. It has a data problem. Enter Numeric: the data platform finance teams run on. We started with the month-end close, where the data problem hurts most, and hundreds of finance teams now run their close on Numeric. That work led us to rebuild the system of record itself. In September 2026 we launched the Financial Data Platform (FDP), a platform built for the agent era. Instead of a journal entry, the real business object enters the system and the accounting is derived from it. Every number is traceable to its source, reporting works on any dimension, and accountants and AI agents finally have enough context to work together. While others bolted AI features onto the old data model, we built a new one. We have a growing base of customers who love our product, including Anthropic, Plaid, Brex, Betterment, Wealthfront, and Asana. We’ve raised $89M from top-tier investors including IVP, Menlo Ventures, Founders Fund, and 8VC, along with founders and executives from Ramp, Segment, and other category-defining companies. We’re in-person, with teams in New York, San Francisco, and London, and we just shipped the product that will define our next decade. There’s never been a better time to join.
Read full descriptionShow less description
About the role Platform Engineering at Numeric is engineering for engineering. Our customers are our own engineers and, increasingly, the AI agents working alongside them. The mission: make every engineer and agent dramatically more productive by building a shared platform, so anyone can go from idea to safely deployed change without bespoke setup or tribal knowledge. This role is the developer-infrastructure half of that mission — environments, CI/CD and deployment, infrastructure-as-code, environment parity, observability, security, and internal tooling. The current reality has gaps (deploys with no staging gate, migrations without clean rollback, a prod-DB-clone lock that blocks deploys, Terraform drift, two clouds where there should be one) and a roadmap to close them. You’d own pieces of that roadmap end to end and then watch engineers actually use them.  What you might work on Deployment process: serialized, gated deploys across services; automated schema migrations with rollback; staging → production promotion that engineers trust. Environments & parity: local and remote dev environments that are reliable and fast to stand up; sandboxes and preview/review environments so reviewers can verify behavior, not just read code. Agent-First development: Including MCP gateways, governance, cost management, and foundation model selection. Infrastructure-as-code: Spacelift/OpenTofu, drift remediation, consolidating off DigitalOcean onto AWS, and IaC standards that are easy to follow by default. Repo standards & ownership: repository standards (linting, testing hierarchy, ownership manifests, idempotent onboarding), an ownership registry, and an internal developer portal. Observability foundations: local tracing/logging/metrics for every engineer, Datadog cost and hygiene, incident-management maturity, status pages. Security & access: unified secrets/config management, SSO in front of internal sites, IAM scoping, ECR scanning, audit logging, vulnerability management. AI Internal tools hosting: Numeric Labs — the platform that lets anyone at Numeric ship an internal tool without re-solving auth, hosting, and observability.  You might be a great fit if you… Are technically deep in infrastructure — AWS, containers/ECS, networking, IaC — and pragmatic about it. Have a product builder’s instinct for developer experience: sane defaults, tooling that teaches, “shipping means seeing it work successfully.” Like discovering the problem by meeting your users: pairing with engineers, watching onboarding, reading the friction in Slack. Are comfortable building in-house when it’s the right call (and explicit about when a third-party tool earns its place).  What you need 3+ years of software engineering experience, including significant time on infrastructure, platform, or developer-productivity work. Confidence with AWS, IaC (Terraform/OpenTofu or similar), CI/CD systems, and Linux/container fundamentals. Strong general-purpose programming skills (primarily TypeScript, Python where it fits). Nice to have Prior experience with tools like Spacelift / Atlantis, Datadog / Firetiger / Chronosphere, or GitHub Actions / Buildkite Running incident-management, defining SLAs, and keeping sites up through enormous traffic Supporting non-engineer contributors (e.g., support engineers shipping fixes with AI tools).  Stack: AWS (ECS, RDS, S3), OpenTofu/Terraform via Spacelift, GitHub Actions, Datadog, TypeScript / Node, Postgres, ClickHouse, Inngest. How we work This role is in-person in San Francisco (in office, with flexibility). As an engineer at Numeric you will learn the domain, meet your users, and exercise substantial creativity and agency over product direction. You'll work with a high-pace, high-integrity team that loves collaboration. We believe the best company is the one with the best ICs and we’ve built a culture to maximize great work. We believe great product & engineering come from a desire to win, a deep care for the craft, and a pragmatism in shipping for overall impact. As engineers we ground our work in our understanding of the users, the domain, and the goals for our organization. We strongly believe we will only be successful if everyone on the team is anchored in our following set of core principles: Own the Outcome: We own our results. We typically hire builders and give them large mandates with high-trust. Engineers are responsible not just for code, but for ensuring the product is solving the end problems of the users. Brick by Brick: To win, our team needs to show up and execute in each domain every day. Love the Game: We focus on the craft and a deep sense of giving a f*ck. We’re building a company full of people who are equally engaged and motivated. Earn the right: Our ability to rethink how things are done depends on the trust and reputation we build by shipping quality products and improving the lives of our users. SALY: We refuse to accept “Same As Last Year.” We bring fresh eyes to a stagnated and underserved domain. We’re driven by a first-principles approach to building better solutions.  Read some of our thoughts on engineering and company-building here.
Original formatting and links
Why Numeric

Every business runs on accounting, but the systems underneath it were built for a different era. Today’s ERPs don’t store a company’s financial data. They store a diluted copy of it. Every contract, lease, and invoice gets flattened into a journal entry, and the context that made it meaningful is thrown away. That’s why accounting teams spend every month re-checking numbers, stitching together spreadsheets, and waiting on engineering, and why AI struggles to do real accounting work. Accounting doesn’t have a reporting problem. It has a data problem.

Enter Numeric: the data platform finance teams run on. We started with the month-end close, where the data problem hurts most, and hundreds of finance teams now run their close on Numeric. That work led us to rebuild the system of record itself. In September 2026 we launched the Financial Data Platform (FDP), a platform built for the agent era. Instead of a journal entry, the real business object enters the system and the accounting is derived from it. Every number is traceable to its source, reporting works on any dimension, and accountants and AI agents finally have enough context to work together. While others bolted AI features onto the old data model, we built a new one.

We have a growing base of customers who love our product, including Anthropic, Plaid, Brex, Betterment, Wealthfront, and Asana. We’ve raised $89M from top-tier investors including IVP, Menlo Ventures, Founders Fund, and 8VC, along with founders and executives from Ramp, Segment, and other category-defining companies. We’re in-person, with teams in New York, San Francisco, and London, and we just shipped the product that will define our next decade. There’s never been a better time to join.

About the role

Platform Engineering at Numeric is engineering for engineering. Our customers are our own engineers and, increasingly, the AI agents working alongside them. The mission: make every engineer and agent dramatically more productive by building a shared platform, so anyone can go from idea to safely deployed change without bespoke setup or tribal knowledge. This role is the developer-infrastructure half of that mission — environments, CI/CD and deployment, infrastructure-as-code, environment parity, observability, security, and internal tooling. The current reality has gaps (deploys with no staging gate, migrations without clean rollback, a prod-DB-clone lock that blocks deploys, Terraform drift, two clouds where there should be one) and a roadmap to close them. You’d own pieces of that roadmap end to end and then watch engineers actually use them.

 

What you might work on

  • Deployment process: serialized, gated deploys across services; automated schema migrations with rollback; staging → production promotion that engineers trust.

  • Environments & parity: local and remote dev environments that are reliable and fast to stand up; sandboxes and preview/review environments so reviewers can verify behavior, not just read code.

  • Agent-First development: Including MCP gateways, governance, cost management, and foundation model selection.

  • Infrastructure-as-code: Spacelift/OpenTofu, drift remediation, consolidating off DigitalOcean onto AWS, and IaC standards that are easy to follow by default.

  • Repo standards & ownership: repository standards (linting, testing hierarchy, ownership manifests, idempotent onboarding), an ownership registry, and an internal developer portal.

  • Observability foundations: local tracing/logging/metrics for every engineer, Datadog cost and hygiene, incident-management maturity, status pages.

  • Security & access: unified secrets/config management, SSO in front of internal sites, IAM scoping, ECR scanning, audit logging, vulnerability management.

  • AI Internal tools hosting: Numeric Labs — the platform that lets anyone at Numeric ship an internal tool without re-solving auth, hosting, and observability.

 

You might be a great fit if you…

  • Are technically deep in infrastructure — AWS, containers/ECS, networking, IaC — and pragmatic about it.

  • Have a product builder’s instinct for developer experience: sane defaults, tooling that teaches, “shipping means seeing it work successfully.”

  • Like discovering the problem by meeting your users: pairing with engineers, watching onboarding, reading the friction in Slack.

  • Are comfortable building in-house when it’s the right call (and explicit about when a third-party tool earns its place).

 

What you need

  • 3+ years of software engineering experience, including significant time on infrastructure, platform, or developer-productivity work.

  • Confidence with AWS, IaC (Terraform/OpenTofu or similar), CI/CD systems, and Linux/container fundamentals.

  • Strong general-purpose programming skills (primarily TypeScript, Python where it fits).

Nice to have

  • Prior experience with tools like Spacelift / Atlantis, Datadog / Firetiger / Chronosphere, or GitHub Actions / Buildkite

  • Running incident-management, defining SLAs, and keeping sites up through enormous traffic

  • Supporting non-engineer contributors (e.g., support engineers shipping fixes with AI tools).

 

Stack: AWS (ECS, RDS, S3), OpenTofu/Terraform via Spacelift, GitHub Actions, Datadog, TypeScript / Node, Postgres, ClickHouse, Inngest.

How we work

This role is in-person in San Francisco (in office, with flexibility).

As an engineer at Numeric you will learn the domain, meet your users, and exercise substantial creativity and agency over product direction. You'll work with a high-pace, high-integrity team that loves collaboration.

We believe the best company is the one with the best ICs and we’ve built a culture to maximize great work. We believe great product & engineering come from a desire to win, a deep care for the craft, and a pragmatism in shipping for overall impact. As engineers we ground our work in our understanding of the users, the domain, and the goals for our organization.

We strongly believe we will only be successful if everyone on the team is anchored in our following set of core principles:

  • Own the Outcome: We own our results. We typically hire builders and give them large mandates with high-trust. Engineers are responsible not just for code, but for ensuring the product is solving the end problems of the users.

  • Brick by Brick: To win, our team needs to show up and execute in each domain every day.

  • Love the Game: We focus on the craft and a deep sense of giving a f*ck. We’re building a company full of people who are equally engaged and motivated.

  • Earn the right: Our ability to rethink how things are done depends on the trust and reputation we build by shipping quality products and improving the lives of our users.

  • SALY: We refuse to accept “Same As Last Year.” We bring fresh eyes to a stagnated and underserved domain. We’re driven by a first-principles approach to building better solutions.

 

Read some of our thoughts on engineering and company-building here.

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