> Markdown version of [/jobs/ext/3817547-software-engineer-infrastructure](https://www.wearedevelopers.com/jobs/ext/3817547-software-engineer-infrastructure). 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, Infrastructure - **Company:** David Joseph & Company - **Location:** Palo Alto, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Build Automation, Big Data, Continuous Integration, Data Infrastructure, Extract Transform Load (ETL), DevOps, Distributed Systems, Python (Programming Language), PostgreSQL, Reliability Engineering, TypeScript, Pulumi, Data Ingestion, Kubernetes, Vertica - **Published:** October 18, 2026 - **Apply:** https://www.juju.com/job/16_548a1dd6 ## About the Role * At least five years working in site reliability, infrastructure, or platform engineering * A track record of running production systems in an SRE, infrastructure, platform, or DevOps capacity * Time spent at a startup within roughly the last four to five years * A university degree * Comfort writing real code (Python, TypeScript, or Java) to build automation, tooling, and operational services * Hands-on depth with AWS or a comparable cloud, plus infrastructure-as-code * Practical experience with distributed systems and Kubernetes * Willingness to be in the Palo Alto office four days a week * Authorization to work in the US, or a visa that can be transferred (new sponsorship isn't available) Nice to Haves * You've built an SRE function from scratch, or matured one, at an early-stage or fast-scaling company ## Description We're helping our client hire one of their first dedicated infrastructure engineers. You'd take ownership of the systems that keep a fast-growing, high-volume AI platform reliable, while staying hands-on across the stack. This suits someone who's comfortable with large data volumes and ambiguity, and who can get productive quickly without a lot of hand-holding. What you'll be doing * Owning reliability and scale for the distributed systems behind high-volume data ingestion and real-time AI agents * Building and improving ETL pipelines and data infrastructure on AWS, Kubernetes, Postgres, and ClickHouse * Working across the stack in Python, TypeScript, or Java on automation, internal tooling, and product features alongside product and design * Sharing a 24/7 on-call rotation, supporting customers, and leading incident response as new enterprise accounts go live * Strengthening infrastructure-as-code (Pulumi), CI/CD, and observability so the team can ship quickly and safely