Senior Engineering Manager

Accenture Federal Services•Washington, DC

1d•$135,200 - $278,500

About The Position

At Accenture Federal Services, our purpose is to help the US federal government make the nation stronger and safer, and improve the lives of its citizens. Our team of over 13,000 professionals is dedicated to leveraging technology and innovation for clients across defense, national security, public safety, civilian, and military health organizations. Accenture Federal Services, a technology company within the global Accenture network, is recognized as a Glassdoor Top 100 Best Place to Work. We foster a collaborative and supportive community where employees feel a sense of belonging and are empowered to grow, learn, and thrive through hands-on experience, certifications, and industry training. Join us to drive meaningful, lasting change that advances missions and the government forward.

Requirements

BA/BS in Computer Science, Information Systems, or related field (or equivalent experience).
10+ years of software development experience.
8+ years of full‑stack development (Java/Python, Angular/React, SQL/NoSQL, AWS).
5+ years delivering, testing, and launching production software.
3+ years leading product architecture and technical design.
1+ year building AI‑enabled product features or improving delivery using AI.
US Citizenship Required
The ability to obtain and maintain a government security clearance

Nice To Haves

Advanced Degree
15+ years of industry experience
Motivated and proactive, with a desire to understand and address complex areas
Curiosity for learning about new technology, industry best practices, and areas of risk, analyzing and turning new insights into concrete action
Commitment to delivering tangible outcomes for customers and stakeholders
Strong written and verbal communication/interpersonal skills to effectively collaborate with cross-functional teams and stakeholders.
Excellent people management and relationship development skills
In-depth knowledge of Accenture delivery methodologies and practices

Responsibilities

Lead end‑to‑end product engineering across complex, multi‑team programs.
Partner with product, business, architecture, infrastructure, and security teams to ship fast, learn fast, and scale what works.
Own the technical vision, product architecture, and execution from concept through release and iteration.
Improve delivery velocity and speed to market.
Define a product‑level technical vision aligned to customer outcomes and client goals.
Establish lightweight architectural guardrails (interfaces, patterns, conventions) that enable rapid iteration with quality.
Use business, user, and operational signals to prioritize for accelerated time to value.
Design and integrate AI capabilities with clear interfaces, guardrails, and observability to deliver safe, reliable, measurable value.
Convert strategy into technical roadmaps, sequencing work by impact, effort, risk, and learning value.
Manage the complete product delivery lifecycle: conceptualization, development, launch, and iterative enhancement.
Write product code and tests across the stack (Java/Python, React/Angular, SQL/NoSQL).
Govern multiple product codebases and maintain code quality, engineering throughput, and release predictability.
Use AI tools for code generation, test authoring, defect triage, and documentation to accelerate development.
Establish modular, domain‑driven system boundaries for rapid iteration and safe refactoring.
Design stable, versioned REST APIs and ensure backward compatibility via contract testing.
Model data with relational/NoSQL schemas, ensure referential integrity and validation, and plan indexing/migrations.
Engineer for performance and scale through caching, batching, pagination, and concurrency controls.
Build cloud‑native products using microservices, event‑driven patterns, and clear contracts (REST/streaming/batch).
Standardize containers and orchestration with repeatable deployment paths.
Implement data and streaming infrastructure (SQL/NoSQL, caching tiers, Kafka/Pub/Sub).
Run high‑velocity CI/CD using trunk‑based development, automated tests, and progressive delivery.
Set standards for clarity, reliability, performance, security, and observability.
Embed modern SDLC practices (DevSecOps, trunk‑based development, feature flags, AI coding tools).
Serve as a technical authority and mentor; lead design reviews and improve documentation.
Provide concise, data‑driven updates on status, risks, trade‑offs, and decisions.
Build confidence through transparent communication and fast, measurable outcomes.
Iterate using telemetry, experiments, and customer feedback.
Institutionalize learning, best practices, and continuous improvement.