Senior Software Engineer

BayOneWaltham, MA

About The Position

Shape the Future of SDLC: Take a key leadership role in building our Agentic (AI-based) Software Development Life Cycle, moving beyond automation to a world where AI agents assist in designing, coding, testing, and deploying. Bridge Coding & Infrastructure: Apply your deep coding expertise to the world of Platform Engineering, ensuring our IL-based teams are at the forefront of the AI-driven evolution. Platform as a Product: Act as the architect and owner of our cloud-only infrastructure, treating the platform as a core product that serves the entire engineering organization. Full-Spectrum Engineering: Work across the full spectrum of cloud and applicative infrastructure to solve complex challenges using a wide variety of advanced technologies and cloud services. Empower Developers: Identify friction points in the developer experience, then plan and execute strategic projects that improve the day-to-day workflow of our R&D teams. Drive Business Value: Partner with the business to understand their needs, ensuring our platform enables fast-paced innovation and delivers tangible value through engineering excellence.

Requirements

  • At least 6 years of experience as a Software Developer in a fast-paced cloud oriented organization.
  • B.Sc. in Computer Science or equivalent.
  • Proven record of initiating, designing, implementing and leading meaningful projects.
  • A solid experience with at least one of the following languages: Java / Kotlin / JS / TS / bash / Python.
  • Experience with improving development processes and developer experience in general.
  • Must be a people person, accessible, be a proficient problem solver, which quickly adapt to new technologies.
  • A self-driven engineer with a deep curiosity to research and master AI technologies.

Nice To Haves

  • Understanding in CI/CD methodologies with a hands-on development experience of Jenkins pipelines - a major advantage.
  • Solid orientation to Cloud/Infrastructure-As-Code concepts - a major advantage.
  • Understanding in Kubernetes & Containers - a major advantage.
  • Knowledge in build tools, e.g. Maven/Gradle/npm/nx - an advantage.
  • Familiarity with software test methodologies and tools - an advantage.
  • Familiarity with observability tools - monitoring, logging, tracing - a major advantage.
  • Experience with Internal Developer Portal/Platform and self-serve tools (e.g. Backstage) - a major advantage.

Responsibilities

  • Take a key leadership role in building our Agentic (AI-based) Software Development Life Cycle.
  • Apply deep coding expertise to Platform Engineering.
  • Act as the architect and owner of our cloud-only infrastructure, treating the platform as a core product.
  • Work across the full spectrum of cloud and applicative infrastructure to solve complex challenges.
  • Identify friction points in the developer experience, then plan and execute strategic projects that improve the day-to-day workflow of our R&D teams.
  • Partner with the business to understand their needs, ensuring our platform enables fast-paced innovation and delivers tangible value through engineering excellence.
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