Job Description :

Lead and manage a team of software engineers, including task allocation, progress monitoring, code review, deployment management and ensuring timely delivery of development work.
Provide technical guidance through code reviews, troubleshooting, and hands-on support to ensure high-quality, maintainable, and well-tested code.
Own the end-to-end development lifecycle, from system design, development, CI/CD deployment, monitoring, to post-release support.
Collaborate with Product, Design, and Business teams to translate requirements into clear technical specifications, architecture decisions, and actionable development plans.
Ensure system performance, scalability, reliability, and security, including handling production incidents, root cause analysis, and implementing long-term improvements.
Drive continuous improvement in engineering practices, team productivity, code quality standards, and development processes.
Mentor and grow team members through 1-on-1s, technical coaching, and career development support.
Define and uphold technical standards, documentation practices, and architectural principles across the team.

Job Requirements :

Minimum 7 years of software engineering experience, with at least 2 years leading a technical team.
Expert-level proficiency in Python with strong hands-on experience in system architecture and full-stack development. Working knowledge of Node.js and/or Go is a strong plus
Proven ability to design, build, and manage scalable, high-performance distributed systems in a SaaS/multi-tenant environment.
Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and RESTful/GraphQL API design and integrations.
Familiar with Agile/Scrum methodologies and development tools (e.g., JIRA, Git, Confluence).
Strong leadership, problem-solving, and decision-making skills.
Excellent communication skills with the ability to collaborate across teams and stakeholders.
Solid understanding of database technologies - relational (PostgreSQL/MySQL)
Familiarity with monitoring and observability tools (e.g., Grafana, UpTime).

Nice to have: Experience with event-driven architecture (Kafka, RabbitMQ, Celery), microservices, data pipelines, and Infrastructure as Code.