Engineering Delivery Manager

The core responsibilities for the job include the following:

Engineering Delivery Manager:

• Track and report delivery health metrics (project health, velocity, defect rates, SLA adherence, schedule, and cost) and take corrective action proactively.
• Ensure technical deliverables align with the architectural guidelines of the BU.
• Continuously improve delivery playbooks focused on efficiency, delivery quality, and cost optimization

Technical Leadership and Solutioning:

• Provide hands-on guidance on architecture, engineering decisions, and problem resolution.
• Drive design and code reviews, technical spike evaluations, and proof-of-concept initiatives where needed.
• Champion engineering excellence, CI/CD practices, automated testing, DevSecOps, and platform reliability within all BU projects.
• Serve as an escalation point for technical blockers and engineering challenges across BU projects.

Pre-Sales and Solution Engineering Support:

• Partner actively with the pre-sales teams in contributing to technical solutioning for new opportunities within the BU's domain.
• Contribute to the creation of technical proposals, solution architecture documents, effort estimates, and BOM/BOQ for RFPs and RFIs.
• Participate in technical discussions and solution presentations with prospective clients, articulating the engineering approach and delivery methodology.
• Contribute to reusable solution accelerators, reference architectures, and delivery playbooks that strengthen ShellKode's pre-sales assets.
• Provide domain-specific inputs to the BU Head and Client Delivery Director on capability gaps vs. pipeline demand.

Resource and Capacity Management:

• Manage the engineering talent pool within the BU allocation, utilization tracking, bench management, and skills inventory.
• Work with the BU Head to plan hiring, upskilling, and certification roadmaps aligned to the BU's delivery pipeline and technology roadmap.
• Ensure optimal resource deployment across BU projects, balancing load and mitigating single points of failure.
• Mentor and develop project leads, tech leads, and senior engineers within the BU.

Risk and Issue Management:

• Proactively identify, assess, and communicate technical and delivery risks across all BU projects throughout the project lifecycle.
• Develop and drive mitigation and contingency plans for delivery risks, technical debt, and engineering bottlenecks.
• Escalate unresolved risks and cross-BU dependencies to the BU Head and dotted line to the Client Delivery Director.

Governance and Reporting:

• Provide regular delivery status reports to the BU Head covering project health, risks, resource utilization, and financial status.
• Participate in cross-functional governance forums with the Client Delivery Director to ensure BU delivery aligns with broader organizational commitments.
• Maintain delivery documentation standards: project plans, RAID logs, release notes, and retrospective action items.
• Coordinate with client delivery managers on projects that span multiple BUs, providing engineering context and technical inputs as needed.

Financial Management:

• Track and manage project financials within the BU, including budget utilization, effort actuals vs. estimates, and cost optimization.
• Ensure timely project milestone sign-offs and handoffs that support accurate invoicing and revenue recognition.
• Identify opportunities to improve delivery efficiency and reduce cost-to-deliver within the BU.

Requirements:

• Minimum 10 years of experience in the software/technology services industry.
• Minimum 4 years in a hands-on technical delivery AND engineering leadership role within cloud, data, or AI/ML domains.
• Proven track record of simultaneously managing multiple complex engineering projects within a single technology domain/BU.
• Experience managing technical leads and project managers in driving project outcomes

Technical Depth:

• Hands-on experience in at least one of the following domains:
• Cloud Engineering: AWS / Azure / GCP architecture, cloud-native development, infrastructure-as-code, FinOps
• Data Engineering: Data platforms, migrations, lakehouses, pipelines, dbt, streaming architectures
• AI / GenAI / ML: Agentic AI, LLMs, RAG pipelines, MLOps, model evaluation, AI platform engineering
• Sound understanding of DevSecOps, CI/CD toolchains, containerization (Docker/Kubernetes), and modern SDLC practices.
• Ability to review and guide technical design documents, architecture diagrams, and engineering approaches, not just delivery plans.

Pre-Sales and Solutioning Ability:

• Experience contributing to or leading technical proposals, RFP responses, and solution architecture for client pursuits.
• Ability to size and estimate complex engineering engagements' effort, timelines, team structure, and risk.
• Comfortable presenting technical solutions to internal stakeholders and, when needed, to prospective clients alongside the sales team.

Delivery Management:

• Proven expertise in Waterfall, Iterative-Waterfall, Agile, Scrum, or Kanban delivery methodologies; experience with tools like Jira, Azure DevOps, or similar.
• Strong command of delivery metrics, KPIs, and data-driven project management.
• Demonstrated ability to manage resources, budgets, and delivery risk across a portfolio of projects.

Leadership and People Management:

• Ability to lead, coach, and grow technical teams, including tech leads, architects, and senior engineers within a fast-paced delivery environment.
• Strong influencing and conflict-resolution skills, particularly in a matrixed reporting structure.
• Experience working closely with BU leadership to align engineering capacity with business goals.

Communication and Stakeholder Management:

• Strong written and verbal communication skills, with the ability to translate complex technical matters into business-clear language for leadership.
• Comfortable driving internal delivery governance reviews with the BU Head and participating in executive reviews with the Client Delivery Director.
• Experience coordinating with CDMs, sales, and pre-sales teams on cross-functional deliverables.

Other Requirements:

• Must be willing to work full-time out of the ShellKode Bangalore office for the first 3 months.
• Willingness to travel to client sites or other ShellKode offices as needed for pre-sales, delivery reviews, or team engagements.
• Relevant certifications in the BU domain are strongly preferred (e. g., AWS/Azure/GCP)
• Professional, Databricks, Google Cloud Data, GCP ML/AI, CKA.
• PMP, PMI-ACP, or equivalent delivery management certification is a plus.

Skills

AI, AWS, Azure, Databricks, DevSecOps, Docker, GCP, Jira, Kubernetes, ML, MLOps, cloud, data, dbt