Engineering Manager
Barclays · Pune · Posted 2026-07-25
Tech stack: Docker, Java, Kafka, Kubernetes, Spring Boot
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About the role
To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives.
Responsibilities:
- Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives.
- Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget.
- Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement.
- Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity.
- Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development.
- Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions.
Qualifications:
- Deep hands-on experience in Java, Spring Boot, REST APIs and Microservices Architecture
- Strong expertise in designing and delivering large-scale enterprise applications and distributed systems
- Experience leading engineering teams and delivering complex programmes in Agile environments
- Strong knowledge of cloud-native development, CI/CD pipelines, DevSecOps practices and container platforms (Docker/Kubernetes/OpenShift)
- Experience with Kafka, MQ, event streaming and asynchronous messaging platforms
- Knowledge of GenAI technologies, LLM integrations, prompt engineering and AI-assisted development tools
- Experience with AI/Agentic frameworks, vector databases and retrieval patterns
- Experience in financial services, platform engineering, developer experience tooling and modern observability frameworks
- You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
- The role is based out of Pune
Qualifications
- Deep hands-on experience in Java, Spring Boot, REST APIs and Microservices Architecture
- Strong expertise in designing and delivering large-scale enterprise applications and distributed systems
- Experience leading engineering teams and delivering complex programmes in Agile environments
- Strong knowledge of cloud-native development, CI/CD pipelines, DevSecOps practices and container platforms (Docker/Kubernetes/OpenShift)
- Experience with Kafka, MQ, event streaming and asynchronous messaging platforms
- Knowledge of GenAI technologies, LLM integrations, prompt engineering and AI-assisted development tools
- Experience with AI/Agentic frameworks, vector databases and retrieval patterns
- Experience in financial services, platform engineering, developer experience tooling and modern observability frameworks
- You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
- The role is based out of Pune
Responsibilities
- Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives.
- Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget.
- Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement.
- Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity.
- Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development.
- Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions.