Job Description :

Role Overview :

You will be responsible for owning the end-to-end delivery of strategic technology programs spanning Full Stack, Cloud, Data, and AI-powered platforms with a relentless focus on quality, predictability, business outcomes, and stakeholder satisfaction. This role requires a blend of technical depth, leadership excellence, and strategic execution to scale delivery capabilities and enable innovation at enterprise level.

Key Responsibilities :

- End-to-End Delivery Ownership : Lead the full lifecycle of complex engineering programs from planning and scoping to execution, delivery, and post-launch support ensuring alignment with business goals and SLAs.

- Team Leadership : Build, mentor, and scale high-performing, cross-functional engineering teams (Full Stack, Cloud, Data, AI/ML, DevOps) across distributed geographies.

- Predictable & High-Quality Delivery : Drive on-time, on-budget, and defect-minimized delivery through disciplined execution, agile frameworks, and continuous improvement.

- Stakeholder & Governance Management : Act as the primary point of contact for business, product, and technical stakeholders; manage expectations, escalate risks proactively, and ensure robust delivery governance.

- Risk & Issue Mitigation : Identify, assess, and mitigate delivery risks (technical, resource, timeline, compliance) with data-driven decision-making and contingency planning.

- Modern Engineering Enablement : Champion adoption of modern practices CI/CD, Infrastructure-as-Code (Terraform), cloud-native architectures (AWS/Azure), AI/ML integration, and observability.

- Innovation & Scalability : Partner with R&D and product teams to incubate and scale AI-enabled platforms and data-driven solutions that drive measurable business value.

- Performance & Metrics : Define and track KPIs (SLA adherence, defect density, release velocity, team health) to drive continuous improvement and transparency.

What We Are Looking For :

- 8+ years of experience in engineering delivery, with at least 5 years leading large-scale, multi-team technology programs.

- Proven track record in delivering complex, full-stack, cloud, data, and AI-powered solutions in enterprise environments.

- Deep hands-on understanding of Agile, Scrum, SAFe, or hybrid delivery frameworks, with experience managing distributed teams.

- Strong expertise in cloud platforms (AWS/Azure), CI/CD pipelines, DevOps practices, and Infrastructure-as-Code (Terraform).

- Exposure to AI/ML platforms, generative AI, predictive analytics, and intelligent automation with ability to lead AI-powered product delivery.

- Demonstrated ability to manage stakeholder expectations, lead executive-level discussions, and influence without direct authority.

- Excellent communication, negotiation, and conflict-resolution skills with a bias for action and ownership.

- Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.

Preferred Qualifications :

- PMP, SAFe Agilist, or AWS/Azure certification preferred.

- Experience in BFSI, High-Tech, Supply Chain, or Market Research domains is a plus.

- Experience working with Jira, Confluence, Azure DevOps, or similar tooling for delivery tracking and governance.

- Familiarity with security compliance standards (ISO 27001, SOC 2) in delivery environments.

Role Details :

- Role : Engineering Manager

- Industry Type : IT Services & Consulting

- Department : Engineering - Software & QA

- Employment Type : Full Time, Permanent

- Role Category : Software Development

Education :

- UG : B.Tech / B.E. in Any Specialization

Key Skills :

- Software Development, AI/ML, Technical Delivery, Risk Assessments, Delivery Management, Gen AI, Open AI, Service Delivery, Engineering Management, Service Delivery Management, Project Delivery, Delivery Leadership