> Markdown version of [/jobs/ext/2555669-sr-platform-engineer](https://www.wearedevelopers.com/jobs/ext/2555669-sr-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). --- # Sr. Platform Engineer - **Company:** WRENCH.AI, INC. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $120,736.0 - $180,000.0 - **Contract:** Temporary contract - **Skills:** Query Performance, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Software as a Service, Code Review, Continuous Integration, Github, Python (Programming Language), PostgreSQL, OAuth, OpenID, Runbook, Amazon Simple Notification Service (SNS), Large Language Models, State Machines, Backend, Amazon Relational Database Service, Kubernetes, Bots, AWS Fargate, Machine Learning Operations, Functional Programming, Restful APIs, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines, Crud - **Published:** August 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=83be4ed684048bae ## About the Role 6+ years building and operating production backend systems, at least 2 of them with meaningful production-ownership responsibility (deploys, on-call, incident response) - Strong Python. You should be comfortable in a large existing codebase you did not write. - PostgreSQL beyond CRUD - schema evolution, migration safety, query performance - AWS in production, and infrastructure-as-code (Terraform or equivalent) - CI/CD ownership: you have built and debugged pipelines, not just used them - A real testing practice, and the judgement to know which tests are worth writing Strongly preferred - Experience designing or operating agentic/automated delivery systems - CI/CD bots, autonomous review, orchestration frameworks - Data pipeline or ELT experience - Observability practice - you have tuned alerting systems and know why that matters - LLM application work in production (integration and evaluation, not model training) - Multi-tenant SaaS, ideally serving enterprise or regulated customers How you work - this matters as much as the stack - You write things down. Runbooks, decision records, and PR descriptions that explain ## Description Reports to: CEO · Start: Immediate About the role Wrench.ai is an AI-driven sales and marketing intelligence platform - predictive lead scoring, audience segmentation, competitive creative intelligence, and CRM-connected outreach. We're a small team, and our platform runs in production for enterprise and Fortune 100 clients and universities. That's the job: a small number of engineers carrying serious production weight. We build through a lens of orchestrated automation and governance - the platform itself runs on agentic systems that automate a large share of delivery: CI/CD, monitoring, data pipelines, even parts of code review. You would own the backend and infrastructure this all runs on, extend and maintain the automation layer, and make real architectural calls with full visibility to the CEO. If you've designed or operated sophisticated agentic systems yourself - not just used one - this role is built for you. What you'll work on Backend platform (~45%) - Python services behind the Wrench.ai API - REST endpoints, job orchestration, idempotent write paths, webhook handlers - PostgreSQL schema design, migrations, and backward-compatible rollout of DDL changes - Multi-tenant workspace isolation, entitlements, usage metering and coverage billing - MCP server surface and OAuth/authorization endpoints; WorkOS-based identity - LLM integration for enrichment, entity resolution, and creative analysis Infrastructure and delivery (~25%) - AWS: ECS Fargate, Lambda, S3, SQS, SNS, RDS, Step Functions - Terraform for infrastructure-as-code - GitHub Actions CI/CD, including OIDC-based deploys and workflow_dispatch release flows - A develop * qa * prod promotion model with hotfix branching - Datadog monitoring and incident response, including refining alert thresholds so signal stays trustworthy as usage scales Data and ML pipelines (~20%) - ELT ingestion (Fivetran, custom Lambda extractors, external API requesters) - Lead-scoring model input assembly and serving; Shapley-value driver attribution - Competitive intelligence scrapers - ad transparency sources, advertiser resolution ## Related Videos - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [Command the Bots: Mastering robots.txt for Generative AI and Search Marketing](https://www.wearedevelopers.com/videos/1165-command-the-bots-mastering-robots-txt-for-generative-ai-and-search-marketing) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [What Makes WeAreDevelopers World Congress Different From Every Other Tech Event?](https://www.wearedevelopers.com/magazine/701-what-makes-wearedevelopers-world-congress-different-from-every-other-tech-event)