Location: Waltham, MA (hybrid- 3 days In-Office)

ERGO NEXT's mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you’ll find ERGO NEXT.

Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in.

We are looking for a talented Software Engineer to lead our Platform Engineering presence in the US. As the primary technical anchor for the Platform Engineering group in the US, you will serve as the "face" of the group for our local teams, bridging the gap between global infrastructure initiatives and the specific needs of our US-based engineers. As part of this leadership capacity, you will take a key part in shaping our strategy we are currently embarking on: Building an Agentic (AI-based) Software Development Life Cycle. We want to move beyond simple automation to a future where AI agents assist in each and every step of the SDLC, including designing, coding, testing, and deploying our services. To achieve this, you will apply your deep coding expertise to the world of Platform Engineering and Infrastructure, ensuring our US teams are at the forefront of this AI-driven evolution.

In addition, our Platform Engineering Group is the architect and owner of NEXT’s cloud-only infrastructure at Next Insurance. You’ll leverage your expertise to treat our platform as a product, working across the full spectrum of Cloud and Applicative infrastructure. Using a wide variety of advanced technologies and tools, programming languages and cloud services, you will help us understand the challenges that our platform needs to resolve, then plan and execute projects that will improve the developers day to day and help them innovate and bring value to the business.

What You’ll Do: 

• 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.

What We Need: 

• 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
• 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