Lead Software Engineer

We’re looking for a strong, hands-on Lead Software Engineer who enjoys working with modern development tools, leads teams with confidence, and uses AI to make engineering work smoother, faster, and more predictable.

You’ll guide engineers, improve workflows, and help build reliable software components that power an internal platform for telecommunications service delivery.

What you’ll do

• Lead and mentor a development team of 5+ engineers, ensuring clarity, quality, and steady delivery.
• Design and build software with AI-assisted workflows, creating codebases that are easy to understand, extend, and maintain.
• Create clear specs, reusable prompts, and lightweight AI integrations that support developer productivity.
• Develop and optimize APIs for seamless system integration.
• Troubleshoot and debug distributed systems across service boundaries.
• Work with orchestration tools like Temporal to design scalable, resilient workflows.
• Collaborate with cross-functional teams, removing bottlenecks and improving engineering processes.
• Drive adoption of AI-assisted development, sharing best practices and supporting teams in daily use.

What we’re looking for

• 7–8+ years of commercial software engineering experience; programming language does not matter.
• Experience in both corporate and startup environments, with the ability to handle structure and speed.
• 3+ years of leading engineering teams of at least 5 people.
• Positive attitude toward AI and experience using tools such as GitHub Copilot, Claude Code, or similar.
• Strong ownership, resilience, and ability to push back when needed.
• Solid experience building APIs, integrations, internal tools, or automation.
• Strong debugging and problem-solving skills for distributed systems.
• Experience with containerization using Docker and modern development workflows.
• Ability to communicate clearly and work with stakeholders across teams.

Nice to have

• Experience with workflow orchestration using Temporal or Cadence.
• Knowledge of telecommunications systems.
• Understanding of OpenAPI/Swagger.
• Experience with CI/CD pipelines and infrastructure as code.
• Familiarity with cloud services: AWS, GCP, or Azure.
• Understanding of networking protocols or service mesh technologies.
• Experience with Kubernetes.

What we offer

• Fully remote work with flexible scheduling.
• AI-first development environment with access to modern tools.
• Opportunity to shape how engineering teams adopt AI.
• Collaborative environment with experienced developers.
• Modern development practices and tooling.