Custom Software Engineering Lead

Custom Software Engineering LeadAt Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture.

Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward!Job DescriptionTechnical Leadership & Architecture: Lead the design and development of robust, scalable, and secure backend systems and event-driven APIs using FastAPI. Define the technical direction and system architecture, balancing short-term deliverables with long-term scalability and maintainability.Hands-on Development & Code Quality: Serve as a primary contributor to the codebase, leading by example through hands-on development.

Conduct thorough code and technical design reviews to ensure high standards for quality, performance, and security are met.Deploy AI Models: Collaborate with data scientists and ML engineers to integrate, containerize, and deploy AI/ML models (e.g., NLP, recommendation engines, generative AI) into production environments.Containerization & Orchestration: Engineer containerized applications for deployment on cloud platforms using Kubernetes.Asynchronous Processing & Distributed Systems: Design for scale using asynchronous processing and task queues (such as Celery, RabbitMQ, Kafka) to handle long-running or unreliable tasks independently from the main API.Big Data Search & Storage: Manage big data processing workflows and the storage of that data in object storage, indexing tools, and distributed query engines (PySpark, OpenSearch, Hive Metastore, Trino).Team Management & Mentorship: Mentor and guide a team of engineers, fostering a culture of continuous learning, collaboration, and technical excellence.Operational Excellence: Implement best practices for testing, automation, monitoring, and deployment, ensuring systems are observable and resilient in production environments.Here's What You'll Need7+ years of professional experience in one or more of the following areas:Proficient in Python, with knowledge of the libraries and frameworks that make up the Python ecosystem.Familiarity with UI/UX frameworks used with Python applications.Experience designing and implementing RESTful APIs using tools like FastAPI.Strong working knowledge of Docker and Kubernetes for building and deploying scalable, cloud-native applications.Familiarity with distributed data orchestration and processing pipelines, using tools like Spark and Airflow.Experience configuring, deploying, and tuning distributed search technologies, such as: Trino, OpenSearch, and Elasticsearch.Experience with relational databases like PostgreSQL.Experience with CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and deploying applications within the Linux ecosystem.Bonus Points If You HaveExperience with asynchronous task processing tools like Celery and RabbitMQ.Security ClearanceActive TS/SCI with Poly security clearance is required.$130,200 - $265,300 USD