> Markdown version of [/jobs/ext/4635944-software-engineer](https://www.wearedevelopers.com/jobs/ext/4635944-software-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). --- # Software Engineer - **Company:** Fivetran - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software as a Service, Code Review, Continuous Integration, Data Integrity, Extract Transform Load (ETL), Relational Databases, Software Debugging, Software Design Documents, Distributed Systems, Enterprise Messaging Systems, Systems Development Life Cycle, Snowplow, Data Streaming, Datadog, Data Processing, Chatbots, Snowflake, Grafana, Backend, Event Driven Architecture, Containerization, Stripe, Kubernetes, Apache Kafka, Claude, Terraform, Webhooks, GPT, Docker - **Published:** November 8, 2026 - **Apply:** https://jobs.military.com/career/391463/senior-software-engineer-california-ca-oakland ## About the Role * 5+ years building and operating production software, with a passion for solving complex engineering problems \n * Strong experience designing and building backend services and APIs, with attention to correctness, reliability, and data integrity \n * Experience with distributed systems and event-driven architectures; exposure to streaming or messaging systems (e.g., Kafka) is a plus \n * Solid knowledge of relational databases and data modeling; experience with a cloud data warehouse such as Snowflake is a plus \n * Ability to independently lead the design of a feature or service to meet project requirements, and to spot and fix design flaws in existing systems \n * Hands-on experience with at least one major cloud provider (AWS preferred) and containerization (Docker, Kubernetes) \n * Familiarity with CI/CD, infrastructure as code (Terraform), and observability tools (Datadog, Grafana, or similar) \n * Experience with code reviews, testing, and troubleshooting, and with being on-call \n * Clear written and verbal communication, including writing design docs and working with cross-functional partners \n * Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals \n, * Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe) \n * Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg) \n * Experience with notification or messaging platforms (email, in-app, webhooks) \n * Experience with data processing (ETL/ELT), dbt, or other modern data stack tools \n * Experience working on SaaS platforms at scale \n