Software Engineering Analyst at Accenture… · Washington

Summary: Accenture Federal Services is dedicated to helping the U.S. federal government enhance national security and improve public services through technology. As a Software Engineering Analyst, you will engage in hands-on training and apply your engineering skills to develop secure, scalable software solutions that integrate advanced AI capabilities for various federal missions. Responsibilities: - Experiment and be an early adopter of emerging technologies and next-generation IT tools, including genitive AI, intelligent agents, and edge computing - Leverage advanced engineering frameworks such as Agentic AI to accelerate solution development and automate complex workflows - Design and build full-stack applications using languages like Python, Java, and JavaScript, and frameworks such as React, Node.js, and Spring Boot - Deploy cloud-native solutions on platforms like AWS, Azure, or GCP using containers (Docker, Kubernetes), serverless functions, and infrastructure-as-code - Integrate AI/ML models into production systems using various tools, optimizing for performance, stability, and ethical use - Collaborate in agile teams to deliver secure, resilient, and innovative software that supports federal missions and improves citizen services Required Qualifications: - Bachelor's or Master's degree in Computer Science, Software Engineering, Electrical Engineering, or a related STEM field, with a graduation date no later than August 31, 2026 - Strong foundation in programming languages and familiarity with software development methodologies (Agile, DevOps) and version control systems (e.g., Git) - U.S. citizenship required (due to federal contract requirements) - Ability to travel 25-50% preferred, but requirements vary by team and location Preferred Qualifications: - Strong academic track record (3.0 cumulative GPA required, 3.2 cumulative GPA preferred) from a 4-year accredited institution - Coursework or hands-on experience in multiple programming languages, modern frameworks, architectures, databases, cloud platforms, and AI/ML - Experience with full-stack development frameworks and knowledge of secure coding practices and software testing methodologies - Familiarity with AI frameworks and exposure to Agentic AI concepts or autonomous system design - Ability to work collaboratively in cross-functional teams and communicate technical concepts clearly - Active security clearance or eligibility to obtain one Required Skills: Python, Java, JavaScript, React, Node.js, Spring Boot, AWS, Azure, Google Cloud Platform, Docker, Kubernetes, Serverless functions, Infrastructure as code, AI/ML model integration, Agile methodologies, DevOps, Git, Secure coding practices, Software testing methodologies, Agentic AI, Autonomous system design, DevSecOps, CI/CD pipelines, Software development lifecycle Benefits: A collaborative and caring community, Hands-on experience, Certifications, Industry training, Mentorship, Access to the latest technologies through the Analyst Development Program (ADP)