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.
