Responsibilities

• Lead a cross-functional engineering team, driving technical direction, delivery quality, and platform evolution.
• Take ownership of the design, development, deployment, and maintenance of full-stack applications and services.
• Work closely with Product teams to shape requirements, influence the roadmap, and align technical solutions with business objectives.
• Evaluate, prototype, and implement AI-powered capabilities, including LLM-based features, intelligent automation, and AI-enhanced workflows.
• Provide technical leadership through architecture reviews, code reviews, and engineering best practices.
• Design and build scalable, secure, resilient, and observable cloud-based solutions.
• Champion automated testing, quality assurance, and engineering standards across the development lifecycle.
• Build, maintain, and improve CI/CD pipelines to support reliable and efficient software delivery.
• Communicate technical designs, risks, and progress effectively to both technical and non-technical stakeholders.
• Mentor and support engineers, helping to develop technical capability across the team.
• Promote a culture of collaboration, continuous improvement, and engineering excellence.
• Support recruitment, onboarding, and development of engineering talent.
• Maintain clear technical documentation to support knowledge sharing and long-term maintainability.

Requirements

• 5+ years of professional software engineering experience.
• Proven experience as a Senior or Lead Full Stack Software Engineer.
• Experience leading engineers and delivering software solutions end-to-end.
• Demonstrated ability to drive delivery, improve engineering practices, and move products forward.
• Experience working closely with Product teams, influencing requirements and roadmap decisions.
• Hands-on experience integrating AI/ML capabilities into production software, including LLM APIs, prompt engineering, RAG architectures, or AI-powered workflows.
• Strong understanding of modern software architecture, design patterns, and engineering best practices.
• Experience designing and building cloud-based applications and services.
• Strong knowledge of CI/CD pipelines, automated deployments, and DevOps practices.
• Experience building scalable, resilient, secure, and observable systems.
• Strong commitment to code quality, maintainability, testing, and operational excellence.
• Confident in technical decision-making, architecture discussions, and code reviews.
• Experience mentoring engineers and supporting professional development.
• Excellent communication skills with both technical and non-technical stakeholders.
• Understanding of security, resilience, operational risk, and software quality within regulated or mission-critical environments.
• Ability to translate complex business requirements into practical technical solutions.
• Strong ownership mindset with the ability to operate effectively in a fast-paced environment.

Nice to Have

• Experience working within healthcare, compliance, learning, or other regulated industries.
• Experience implementing AI solutions in regulated or customer-facing environments.
• Knowledge of responsible AI practices and governance considerations.
• Experience supporting large-scale SaaS platforms.
• Exposure to advanced observability, platform engineering, or infrastructure practices.
• Experience improving engineering culture, processes, and software delivery standards.
• Involvement in hiring, onboarding, or building engineering teams.
• Passion for emerging AI technologies and their practical application in software development.

Benefits

• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) \u007C 1:00 PM - 10:30 PM IST (Winter)
• No Weekend Work: Real work-life balance, not just words
• Day 1 Benefits: Laptop and full medical insurance provided
• Support That Matters: Mentorship, community, and forums where ideas are shared
• True Belonging: A long-term career where your contributions are valued

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.