> Markdown version of [/jobs/ext/4627840-platform-engineer](https://www.wearedevelopers.com/jobs/ext/4627840-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - **Company:** SUPPORT1 AI INC. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Audit Trail, Cloud Computing, Code Review, Continuous Integration, Data Stores, Cursor, Amazon DynamoDB, Github, Identity and Access Management, Python (Programming Language), PostgreSQL, Node.Js, Object-Oriented Software Development, OpenAI, Standard Sql, Next.js, Systems Architecture, TypeScript, Cloud Platform System, Tailwind, Bitbucket Pipelines, ReactJS, AWS Lambda, AWS AppSync, Backend, Agentic-AI, Git, Cloudformation, Event Driven Architecture, Webpack, Material UI, Playwright, Graphql, Front End Software Development, React Redux, Cloudwatch, Api Gateway, JestJS, Amazon Simple Queue Service (SQS), Terraform, Serverless Computing, OpenSearch, Docker, Databricks - **Published:** November 7, 2026 - **Apply:** https://startup.jobs/senior-software-engineer-backend-honeydew-10521144 ## About the Role * Object-oriented programming language with strong data and architecture skills - production experience building backend services and APIs, and current best practices in data modeling and system architecture * Platform security - you've secured platform-layer components, including data stores, APIs, and cloud infrastructure, applying current best practices for access control, encryption, and audit logging * Infrastructure and automation - hands-on experience building and operating production infrastructure with infrastructure as code (CDK, Terraform, or CloudFormation) and CI/CD pipelines * 4+ Years of experience in a similar role The Nice-to-Haves: * Experience in healthcare setting, or another heavily regulated domain * Experience building and using custom agents * Experience with Typescript, AWS, serverless functions, PostgreSQL ## Description Our feature teams can only move as fast as the platform underneath them, and we want to help them move faster. As a Platform Engineer, you'll contribute to the work that makes our platform stronger, from moving our data layer onto RDS, to tightening security and compliance across our multi-account AWS organization, to building tooling that speeds up every team shipping on top of it. You'll review and test your teammates' work, and partner with feature teams and other stakeholders to shape what our platform can do next. What You'll Build (Your First 6 Months) * By day 60: Standardize and optimize our logging for AI-supported troubleshooting across the platform. * Day 61-180: Implement processes and infrastructure for AI agents to autonomously open PRs to resolve dependency vulnerabilities and other issues * And more platform and security-related improvements TBD! How You'll Make an Impact Build the platform. You'll work with the engineering manager to identify and plan projects, then execute them using agentic engineering methods. Harden data and security. You'll deliver the migration, security, and compliance work that keeps our data stores, APIs, and cloud infrastructure safe and reliable. Enable the feature teams. You'll assist other teams with data and security requests, and review other engineers' code, so everyone ships faster on a solid foundation., * You make a plan and execute to that plan and timeline. * You identify and report timeline issues early. * You identify and champion opportunities to improve the ecosystem you work in. * You keep up with current best practices, including AI-assisted engineering. * You give direct, useful feedback in code review. * You request and give help when needed. * You write things down so the next engineer can rely on them. Our tech stack * Languages: TypeScript, Python, SQL * Frontend: React, Redux Toolkit, Material UI, Tailwind CSS, Vite, Next.js * Backend: Node.js on AWS Lambda, GraphQL (AWS AppSync, Apollo), REST (API Gateway), event-driven architecture (EventBridge, SQS, SNS), authentication (Cognito) * Data: PostgreSQL (RDS), DynamoDB, OpenSearch, S3 * Infrastructure: AWS (multi-account, Control Tower, CloudFormation, IAM, SSM, CloudWatch, CloudTrail), Terraform, Serverless Framework, Docker, LocalStack, Git, CI/CD on Bitbucket Pipelines and GitHub Actions * Analytics: Databricks, dbt, Amplitude * AI: OpenAI and Anthropic APIs, Cursor * Testing: Vitest, Jest, Playwright