Director of Software Engineering

Overview We are seeking a Director of Software Engineering for an end client requirement. As the Director, Software Engineering , you will provide strategic and technical leadership across the client’s software delivery organization. In this role, you will define, drive, and execute the technology strategy that accelerates engineering effectiveness and enables scalable, secure, and resilient platforms.

You will guide teams in architecting and delivering modern, reusable software solutions while championing engineering excellence and operational maturity. You will work closely with product, architecture, and engineering leaders to align technology decisions with business objectives, ensuring solutions support both near‑term priorities and long‑term strategic outcomes. Through hands‑on technical leadership, design‑level guidance, and coaching, you will influence engineering practices, elevate quality standards, and foster a culture of innovation, collaboration, and continuous improvement.

Responsibilities Strategic & Technical Leadership: Define and execute the engineering strategy, ensuring alignment with long‑term business and platform goals. Shape architectural direction, standards, and engineering best practices across teams. Drive adoption of modern engineering approaches, scalable architectures, and high‑quality delivery patterns.

Engineering Delivery & Operational Excellence: Oversee design, development, testing, deployment, and continuous improvement of software solutions across multiple teams. Build and maintain shared frameworks, services, and platform capabilities that accelerate delivery. Ensure strong operational practices including observability, CI/CD maturity, automation, and security‑first development.

Cross‑Functional Partnership: Collaborate with product, design, architecture, and infrastructure leaders to translate strategy into clear, executable roadmaps. Remove blockers, drive alignment, and ensure technical considerations are fully integrated into planning processes. Represent engineering in portfolio reviews, technology evaluations, and enterprise decision‑making.

Technical Governance & Quality: Lead technical design reviews, architecture forums, and complex troubleshooting efforts. Set quality benchmarks and ensure teams consistently meet standards for performance, maintainability, and production readiness. Drive resolution of systemic issues through data‑driven root‑cause analysis and long‑term fixes.

Champion modernization efforts including microservices, serverless patterns, event‑driven systems, and infrastructure‑as‑code. Evaluate emerging technologies—including AI‑enabled development tools—and guide adoption where they drive measurable value. Leadership & Talent Development: Lead and develop engineering managers, leads, and senior engineers, fostering a culture of accountability, innovation, and continuous learning.

Build organizational capability through coaching, skills development, and effective team structures. Promote an inclusive, collaborative engineering culture rooted in high performance and craftsmanship. Qualifications Bachelor’s degree in Computer Science, Engineering, or related field. 10+ years of progressive software engineering experience, including 4+ years leading managers or multi‑team engineering organizations.

Strong expertise in modern software architecture, cloud platforms preferably Azure, CI/CD, automation, and observability. Proven ability to set engineering strategy, guide architectural direction, and lead large‑scale delivery Demonstrated success developing leaders and building high‑performing engineering teams. Excellent communication skills with the ability to translate complex technical concepts to diverse audiences.

Experience driving modernization, platform evolution, and continuous improvement initiatives. Exposure to AI‑enabled development tools, code generation models, or ML‑driven insights (e.g., Copilot, embedding models, vector search). Demonstrated advanced usage of AI and the management of teams using AI to lean in to process and technological improvements, to include the exploration, experimentation, and application of AI. #J-18808-Ljbffr