> Markdown version of [/jobs/ext/4637255-senior-software-engineer](https://www.wearedevelopers.com/jobs/ext/4637255-senior-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). --- # Senior Software Engineer - **Company:** ROKT LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Code Review, Customer Data Management, Data Infrastructure, Data Structures, Web Development, Distributed Systems, Python (Programming Language), Machine Learning, Commercial Software, Kubernetes, Low Latency, Api Design, Golang, Programming Languages - **Published:** November 8, 2026 - **Apply:** https://www.juju.com/job/28_25197_ee500e3fa8b195aff8faf5b39f860ad2 ## About the Role * Experience: 3-5+ years of commercial software development experience. You've shipped production systems and can point to work you owned. * Software Engineering Fundamentals: Strong in one or more programming languages (e.g Java, C#, Python, JavaScript, Go). You reason well about system design, data structures, algorithms, and trade-offs. * Domain depth: Experience with web application development, cloud platforms (AWS/GCP/Azure) & Kubernetes, API development, or data platform engineering. Distributed systems experience valued but not required. * AI-Fluency: You treat AI tools as force multipliers and stay current with the tooling landscape. You know when to lean on them and when the problem demands your own judgment. * Problem Solving: You break down ambiguous problems using first principles, organise work into manageable tasks, and know when to elevate. * Communication: You explain complex ideas clearly to technical and non-technical audiences, verbally and in writing. * Ownership: You are comfortable driving projects end-to-end, taking accountability for outcomes and following through, with business and customers front-of-mind. ## Description We are looking for mid-senior level Software Engineers who have shipped real software, solved hard problems, and are ramping towards/ready to own functional areas of a platform. You'll bring the domain depth needed to tackle challenges that AI tooling still gets wrong - and the judgment to know when to lean on it and when to go deeper yourself. Depending on your skills and business needs, you'll be placed into one of several core areas: customer data infrastructure, data platform engineering, commerce systems, real-time personalization, or foundational platform services. You'll work as part of an autonomous team owning a specific problem space, partnering closely with other engineers and product managers to solve interesting problems and drive business value. You'll also play a direct role in mentoring the junior engineers coming through behind you, helping set the technical standard for a rapidly growing engineering team in New York. What You'll Do * Own Complex Systems End-to-End: Break down complex projects into executable tasks, provide accurate estimates for multi-quarter work, and deliver on time. * Build and Scale Core Production Systems: Architect, build, and scale software and systems that power Rokt's ecommerce platform - services that demand low latency, high throughput, and rock-solid reliability. * Raise the Bar on Engineering Quality: Own system health, monitoring, and architectural decisions. Act as first responder during incidents and promote best practices across your team. * Accelerate Development with AI: Leverage AI tools and automation to speed up coding, testing, and deployment across the team. Build libraries, frameworks, and tooling that others can use. * Mentor and Multiply: Coach junior engineers through pairing, code review, and structured feedback. Shape team processes and participate in recruiting the next generation of Rokt engineers. * Collaborate Across Functions: Partner cross-functionally (product, Machine Learning Research, Go-to-Market) to align engineering delivery with business objectives. Communicate progress clearly to stakeholders at all levels.