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About Smart Working
At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.
Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.
Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.
About the Role
We are looking for an experienced Lead Software Engineer to provide technical leadership and drive the delivery of a cloud-based learning and compliance platform. This is a hands-on role that combines software engineering, architecture, AI innovation, and team leadership.
You will lead a cross-functional engineering team, work closely with Product stakeholders to shape the roadmap, and play a key role in identifying and delivering AI-powered features that create meaningful user value. The role requires someone who can balance strategic thinking with hands-on development, while driving engineering excellence, delivery pace, and continuous improvement.
The ideal candidate will have a strong background in full-stack software development, experience leading engineers, and a proven ability to design and deliver scalable, secure, and cloud-native solutions in complex environments.
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) | 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
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