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Engineering Manager

Engineering Manager

tenarai
15-17 Years
Not Disclosed

This job is no longer accepting applications

Job Description

We are looking for an Engineering Manager to lead our growing offshore engineering team for a leading US-based client, in Bengaluru. You will own team deliverables end to end, manage team performance, strengthen the client relationship, and identify opportunities to grow the engagement.

Responsibilities:

Delivery Ownership

• Own end-to-end delivery of team commitments – planning, execution, quality, and timelines across sprints and releases.

• Anticipate delivery risks and dependencies; proactively communicate status, escalations, and mitigation plans to client and internal stakeholders.

Team Leadership & Performance

• Serve as the direct reporting manager for the offshore engineering team in Bengaluru.

• Manage team performance: set goals, provide regular feedback, run performance reviews, and build growth plans for team members.

Client Relationship & Presence

• Build trusted day-to-day relationships with client engineering leaders and product stakeholders.

• Represent the team in client forums – sprint reviews, roadmap discussions, and leadership check-ins.

Business Growth

• Identify and shape opportunities to expand the engagement – new workstreams, additional teams, or new capability areas.

• Partner with account leadership on proposals, staffing plans, and account growth strategy.

Required Skills & Experience:

• 15+ years of overall software engineering experience, including 3+ years managing engineering teams.

• Strong hands-on background in backend technologies, primarily Java and/or Python – able to review designs, guide technical decisions, and engage credibly in technical discussions.

• Good working exposure to the AWS stack (e.g., EC2, Lambda, S3, DynamoDB/RDS, ECS/EKS, API Gateway, CloudWatch) and cloud-native architectures.

• Working knowledge of containerization and orchestration – Docker and Kubernetes (EKS or equivalent).

• Solid conceptual understanding of agentic AI – LLMs, AI agents, tool use, RAG, and related patterns – sufficient to understand the team's work and hold informed discussions with the team and the client.

• Proven experience in client-facing roles – managing stakeholder expectations, status reporting, and escalations in an onsite/offshore delivery model.

• Strong grasp of Agile delivery (Scrum/Kanban), estimation, and release planning.

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