The workAs a Software Engineer in this role, you will drive the development of distributed backend services and robust APIs that form the backbone of a modern Hub-and-Spoke architecture. Your work will directly support the acceleration of operational AI adoption, enabling mission applications, enterprise AI governance, agentic AI systems, and scalable software delivery
Key responsibilities:- Design, develop, and maintain backend microservices and distributed systems to support enterprise AI operations
- You will be responsible for building and maintaining microservices that integrate seamlessly with cloud-native platforms, ensuring continuous monitoring and high reliability across all operational workflowsBuild and optimize APIs and event-driven architectures for scalable and reliable data flow
- Develop Kubernetes-native and cloud-native applications for robust, production-grade deployments
- Integrate and leverage technologies such as Rust, Go, Python, TypeScript, Django, NATS, Kafka, Redis, ClickHouse, OpenTelemetry, OpenRouter, and LiteLLM
- Collaborate with cross-functional teams to accelerate operational AI adoption using a modern Hub-and-Spoke architecture
- Support integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability into mission-focused workflows
- Implement continuous monitoring and scalable software delivery pipelines
- Contribute to the development of agentic AI systems and enterprise AI governance solutions
- Ensure high standards of security, reliability, and performance across all backend services and platform microservices
Here's what you need:- Experience in backend microservices, distributed systems, and event-driven architectures, utilizing technologies such as Kubernetes, Rust, Go, Python, and TypeScript
- Experience with cloud-native engineering practices, API development
- Exposure to enterprise-scale AI operations and mission-driven software delivery
Nice to have:- Experience in a fast-paced and mission-focused environment, requiring you to collaborate closely with teams specializing in AI, DevSecOps, data engineering, platform engineering, and cybersecurity
- Familiarity with frameworks and tools like Django, NATS, Kafka, Redis, ClickHouse, OpenTelemetry, OpenRouter, and LiteLLM will be highly advantageous as you design and implement scalable, observable, and secure solutions
- Experience with any of the following technologies: Django, NATS, Kafka, Redis, ClickHouse, OpenTelemetry, OpenRouter, and LiteLLM
Eligibility requirements:- US Citizen
- An active TS/SCI clearance is required
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of
California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is:
$116,900-$243,100 USD
