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.

Experience
10-14 yrs