Software Engineer

remotely. The percentage of remote work will vary based on client requirements/deliverables.

Looking for a skilled Python developer to join our team to build and maintain scalable microservices that interface with Kafka for real-time messaging and Elasticsearch for data indexing and search. You'll deploy and monitor your services in a Kubernetes environment and collaborate with cross-functional teams in designing reliable, observable, and secure systems.

You will work closely with the team on the following key tasks

• Design, develop, test, and maintain Python microservices

• Implement message consumers and producers with Apache Kafka

• Integrate with Elasticsearch for real-time and batch data indexing and querying

• Write unit and integration tests; ensure high code coverage and reliability

• Build CI/CD pipelines for your services and deploy them in Kubernetes clusters

• Participate in design discussions, code reviews, and architecture planning

• Monitor and troubleshoot production issues with observability tools

• Contribute to technical documentation and knowledge sharing within the team

• Utilizes software engineering and design methodologies appropriate to the development, integration, and production environment

• Foster an environment of collaboration with the different team members in the goal of providing quality service and product to our customers

To be successful in this role you need these skills (required):

• Requires Bachelor's Degree and 4-8 years of prior relevant experience or Masters with 2-6 years of prior relevant experience

• Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph

• Proficiency in Python and related backend frameworks (e.g., FastAPI, Flask).

• Experience with containerization, especially with Docker

• Experience in Extraction, Transformation, and Load (ETL)

• Hands-on development experience in a Linux environment including bash or bash-like scripting

• Strong understanding of RESTful APIs and microservice architecture

• Hands-on experience with Kubernetes: deploying, monitoring, and debugging services

• Understanding of common design patterns, security practices, and logging/monitoring principles

• Familiarity with Git and collaborative workflows (PRs, reviews)

• Experience with DevOps practices and tools including Continuous Integration/Continuous Delivery (CI/CD) tools and practices, especially Gitlab or Jenkins

• Strong verbal and written communication skills

• Experience with AGILE practices

• Enthusiastic with the ability to work well in a team and a self-starter who can work on their own

You will wow us even more if you have some of these skills:

• Active Security+ certification and ability to obtain Privileged User Account (PUA) certification by the Government

• Elasticsearch certifications or other program stack related certifications

• Familiarity with authentication and authorization products such as Keycloak

• GraphQL familiarity and/or Apache NiFi experience

• Experience of a production/enterprise systems at scale

• Knowledge of distributed systems concepts (e.g., idempotency, eventual consistency)

• Familiarity with schema registries and Kafka streaming patterns

#NMECDTP-Leidos

Come break things (in a good way). Then build them smarter.

We're the tech company everyone calls when things get weird. We don't wear capes (they're a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for "how it's always been done."

Original Posting:
August 18, 2025
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:
Pay Range $85,150.00 - $153,925.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.