Straight to the employer's own application — no middleman.
The posting explicitly states 'Global Anywhere' scope and 'Alpaca is a US-headquartered, global leader' with a 'dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond.' No work authorisation requirement, timezone restriction, language requirement beyond English, or physical presence requirement is stated. The role is remote-first and open to global applicants.
“Global Anywhere” Geographic scope — No location restrictions stated — worldwide.
“Global Anywhere” Geographic scope — Explicit global scope stated in location field.
“We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!” Geographic scope — Affirms worldwide hiring and distributed workforce across multiple continents.
“Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure” Work authorization — No visa sponsorship restriction or work authorisation requirement stated anywhere in the posting.
“thrive working from our favorite places around the world” Physical presence — Confirms remote-first culture with no physical presence requirement.
“Fluent with AI-assisted engineering - you actively use LLM-based tools in your workflow” Language — No language requirement beyond English; role requires technical fluency not linguistic fluency.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca 's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
As a Senior Software Engineer on the Platform team, you will build and own the frameworks, tooling, and CI/CD infrastructure that let Alpaca ’s engineers ship new features quickly and reliably. This is a software engineering role at its core: you will spend most of your time writing Go, designing automated test frameworks, and digging into application code and Kubernetes when needed. Just as importantly, you will help redefine how we use AI to raise the bar on quality - leveraging LLMs and AI-driven tooling to generate tests, catch regressions before they ship, and turn every incident into durable, automated coverage. We are looking for engineers who treat quality as an engineering discipline and see AI as a force multiplier for it - people who build the systems that make testing fast, reliable, and effortless for the teams that depend on them.
Leverage AI and LLM-based tooling to accelerate test generation, harden regression coverage, and turn production incidents into automated tests - embedding these practices into the frameworks the whole engineering org relies on.
You are familiar with Kubernetes beyond the basics - you can write a Helm chart for a new service with relative ease, you understand best practices around security, and you have prior job experience or certifications to prove this.
You have worked at a startup before - you understand that things don’t always go according to plan, that there is significant technical debt, that some tasks just need to be done, and that sometimes there are no processes or documentation to guide your hand.
You have done IaC deployments with Argo CD or Terraform, or have used Google Cloud Platform and Google Kubernetes Engine before. You are familiar with Tilt and have written a Kubernetes Operator before.
Straight to the employer's own application — no middleman.
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