Role Overview:
We are seeking an experienced Engineering Manager to lead and grow a high-performing team of software engineers. This role combines people management with technical leadership. You will be responsible for strategic initiatives, overseeing product delivery, and ensuring high code quality and team productivity. The ideal candidate brings a strong technical background, deep project delivery experience, and a passion for mentorship and team culture.
Key Responsibilities:
- Lead a team of 5-10 engineers across one or more product verticals.
- Own delivery for large-scale, high-impact software projects end-to-end.
- Collaborate closely with Product Managers, Designers, QA, and other stakeholders to define and execute the roadmap.
- Participate in hands-on coding if need be
- Ensure timely delivery, high quality, and scalability of software systems.
- Conduct regular 1:1s, set goals, perform performance reviews, and support career growth.
- Drive engineering excellence through code reviews, design discussions, and best practices.
- Participate in architectural decisions and guide the team on technical direction.
- Identify and resolve performance bottlenecks and system reliability issues.
- Influence hiring, onboarding, and team structuring to scale the team effectively.
Required Skills:
- 8+ years of total experience in software development, including 2+ years in engineering management or technical leadership.
- Strong experience with modern backend technologies such as Java, Spring Boot, REST.
- Hands-on experience in designing distributed systems, microservices, cloud-native applications (AWS) especially in the SaaS domain..
- Deep understanding of SDLC, Agile/Scrum methodologies, CI/CD pipelines, and DevOps principles.
- Good understanding of SQL & NoSQL Databases.
- Strong interpersonal and communication skills; ability to influence cross-functional teams.
- Proven track record of building and mentoring high-performing engineering teams.
Preferred Skills:
- Experience in the [Healthcare / FinTech / SaaS] domain.
- Ability to accelerate every phase of SDLC using Gen AI tools like Cursor, Codex, Claude Code, etc.
- Exposure to frontend frameworks (React).
- Familiarity with data platform frameworks (Databricks, AWS Sagemaker, Azure Fabric) and related technologies (Kafka, Spark, MongoDB, Elasticsearch, EMR, AWS Athena, AWS Glue, etc.).
- Prior experience in scaling teams from startup to mid-sized orgs.
- Knowledge of compliance and security frameworks like HITRUST, SOC2, GDPR.
Other Details:
Education: Bachelor’s degree in IT, Computer Science, Engineering, or equivalent.
