Jobs at Accenture Federal Services

Support planning, development, execution, and analysis of cyber operations by managing KM content, records, RFIs, file structures, TTPs, and performance measures. Create executive briefings, improve information discoverability, facilitate workload management, coordinate KM working groups, and recommend technology and process improvements to increase collaboration and KM program effectiveness.

Maintain and operate DevOps environments using Kubernetes, containerization, and AWS. Build and automate deployments and infrastructure (on‑prem and cloud), support production and pilot programs in secure low‑side environments, and use Linux and Ansible for configuration and automation.

Support and develop data pipelines and telemetry capture for air-gapped cloud environments; collaborate with hardware, firmware, and data science teams; build queries and dashboards; create and standardize deployment solutions; provide operational support and learn new technologies as needed.

Design, develop, configure, and deploy Pega applications. Integrate Pega with other systems, troubleshoot and resolve issues, follow coding standards and best practices, and collaborate with stakeholders. Work on-site at the client location daily and support mission requirements.

Lead and manage a DFIR team to respond to cyber incidents, analyze intrusion artifacts, provide technical support to enterprise cyber defense, oversee operations and service delivery, mentor analysts, and coordinate briefings with clients and leadership.

Design, prototype, and deploy generative AI solutions and agentic AI frameworks using LLMs, RAG, and cloud AI platforms. Integrate vector databases and cloud services, fine-tune models, author prompts, and collaborate with engineers, data scientists, and architects to deliver mission-focused GenAI applications.

Manage and maintain complex, secure datacenter network infrastructure. Configure Cisco IOS/NX-OS (VLANs, routing, security) on routers and switches. Support datacenter top-of-rack and SAN configurations (preferred). Must hold active TS/SCI with polygraph and meet US work-authorization requirements.

Lead cloud migrations and modernization for federal applications across AWS and Azure. Architect scalable, secure IaaS/PaaS/SaaS solutions, implement containerized microservices and automated CI/CD pipelines, drive observability and performance using tools like New Relic and Splunk, and lead agile teams through DevSecOps practices.

Design and implement enterprise ServiceNow solutions and architecture; develop and advise on system strategy, data storage, and database standards (SQL/Oracle/Sybase); mentor technical staff; evaluate technology purchases; assess project feasibility and deliver architectural products for operational business lines.

Lead or support Workday Payroll implementation and configuration, advise clients on best practices, identify risks and mitigation strategies, prototype designs, configure and test Workday, mentor project staff, and collaborate with stakeholders to meet federal client objectives.

Lead systems engineering activities: analyze user requirements, design and develop hardware/software systems, provide technical leadership, create system documentation, plan development, liaise with government stakeholders, review engineering deliverables, perform quantitative analyses, and develop/integrate Big Data analytics and malware analysis solutions.

Serve as the bridge between centralized DevSecOps platform engineers and application teams: gather CI/CD and security requirements, prioritize platform features, drive legacy migrations, enable multi-cloud workflows, create Golden Path documentation and onboarding, and run feedback mechanisms to align the DSO roadmap with developer needs.

Lead a cross-functional product development team to design, develop, and enhance ServiceNow-based software. Gather and analyze business processes, ensure product functionality, cost, and delivery schedules, apply ServiceNow knowledge to improve quality and accountability, and support solution design during the sales process.

Design and govern the enterprise data ecosystem: establish enterprise data models, define storage standards (lakes, warehouses, databases), design ingestion and ETL/ELT pipelines, and embed data governance, quality, and protection to make data findable, accessible, interoperable, and reusable (FAIR) to enable analytics and AI/ML at scale.

Lead multi-team product initiatives: own vision, roadmap, and execution; align stakeholders; drive scaling, delivery velocity, and continuous improvement across engineering, design, analytics, operations, and security.

Manage and optimize datacenter infrastructure including servers, storage, networking, cabling, and power/cooling. Maintain Dell/HPE servers and PureStorage/Dell storage appliances, ensure network routing/switching reliability, create Visio/DrawIO infrastructure diagrams, troubleshoot hardware issues, and support capacity planning and documentation for high-performance datacenter environments.

Configure, design, and test integration between S/4HANA and Solumina for manufacturing execution. Lead SAP planning implementations (IBP/APO/S4HANA), set up BOMs, routings, MRP, and planning models, and support testing, training, and troubleshooting. Advise on demand, supply, inventory, capacity planning, and continuous improvement.

Implement, configure, and support SAP FI/CO and Public Sector Management components (FM, BCS, Grants Management). Conduct business analysis, process design, integration, testing, deployment, and production support for finance users. Gather requirements, define future state solutions, and resolve defects or implement enhancements.

Configure and support SAP Customer Activity Repository (CAR) and SAP S/4HANA integrations for POS and e‑commerce. Define requirements, create functional specs, build interfaces, resolve data transfer issues, implement monitoring/error‑handling, and train end users to ensure accurate retail transaction auditing and data consistency.

Support SAP data conversion for large programs: profile and cleanse legacy data, define migration solutions, document technical specs, execute cutover plans, and validate cross‑process SAP data integrity across modules while collaborating with client teams.