Lead Software Engineer

Bidgely is seeking an exceptional and visionary lead software engineer to join its core team in Bangalore. As a lead software engineer, you will be working closely with EMs and org heads in shaping the roadmap and planning and setting the technical direction for the team, influencing architectural decisions, and mentoring other engineers while delivering highly reliable, scalable products powered by large data, advanced machine learning models, and responsive user interfaces. Renowned for your deep technical expertise, you are capable of deconstructing any system, solving complex problems creatively, and elevating those around you. Join our innovative and dynamic team that thrives on creativity, technical excellence, and a belief that nothing is impossible with collaboration and hard work.
Responsibilities:
Lead the design and delivery of complex, scalable web services, APIs, and backend data modules.
Define and drive adoption of best practices in system architecture, component reusability, and software design patterns across teams.
Lead and scale multiple projects with speed and precision.
Provide technical leadership in product, architectural, and strategic engineering discussions.
Mentor and guide engineers at all levels, fostering a culture of learning and growth.
Collaborate with cross-functional teams (engineering, product management, data science, and UX) to translate business requirements into scalable, maintainable solutions.
Champion and drive continuous improvement initiatives for code quality, performance, security, and reliability.
Leveraging AI tools to optimise processes and outcomes.
Evaluate and implement emerging technologies, tools, and methodologies to ensure competitive advantage.
Present technical concepts and results clearly to both technical and non-technical stakeholders; influence organisational direction and recommend key technical investments.
Requirements:
6+ years of experience in designing and developing highly scalable backend and middle-tier systems.
BS/MS/PhD in Computer Science or a related field from a leading institution.
Demonstrated mastery of data structures, algorithms, and system design; experience in architecting large-scale distributed systems and leading significant engineering projects.
Deep fluency in Java, Spring, Hibernate, J2EE, and RESTful services; expertise in at least one additional backend language/framework.
Strong hands-on experience with both SQL (e. g., MySQL, PostgreSQL) and NoSQL (e. g., MongoDB, Cassandra, Redis) databases, including schema design, optimisation, and performance tuning for large data sets.
Solid grasp of GenAI with the ability to apply it to real-world use cases
Experience with Distributed Systems, Cloud Architectures, CI/CD, and DevOps principles.
Strong leadership, mentoring, and communication skills; proven ability to drive technical vision and alignment across teams.
Track record of delivering solutions in fast-paced and dynamic start-up environments.
Commitment to quality, attention to detail, and a passion for coaching others.
GenAI in Development Practices (Must-have):
Actively leverage GenAI tools (e. g., Claude, Copilot, or similar) in day-to-day engineering workflows, including analysis, debugging, and development.
Evaluate, pilot, and drive adoption of AI-assisted practices across the SDLC to improve productivity, quality, and cycle time.
Demonstrate hands-on experience integrating GenAI into engineering processes, moving beyond awareness to measurable impact.
Stay current with emerging AI capabilities and proactively identify opportunities for adoption where there is clear ROI.
Exercise sound judgment in deciding when to adopt or avoid GenAI, balancing benefits with risks, cost, and engineering standards.

Experience
7-11 yrs