Software Engineer SME
Summary
Designs, builds, and maintains a secure, cloud-native data science platform in Java/Linux, scaling it for thousands of users while ensuring reliability and performance.
The Swift Group is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe.
We’re looking for a highly experienced platform Software Engineer to help build, scale, and maintain a mission critical data science platform used by thousands of users. This role is deeply technical and ideal for someone who thrives in complex distributed environments, understands modern cloud native architectures, and brings strong engineering discipline to largescale systems.
The ideal candidate has 10+ years of hands-on experience building and operating backend services, APIs, and microservices in Linux based environments. You will design and optimize core platform components, improve system reliability and performance, and contribute to the evolution of a cloud-based, containerized ecosystem. You’ll collaborate with developers, data engineers, and platform teams to deliver secure, scalable, and resilient capabilities that enable data science, analytics, and AI/ML workloads.
If you enjoy solving hard technical problems, working across the stack, and shaping the foundation of a high-profile platform, this role offers the impact and challenge you’re looking for.
The location of this job is Herndon, VA.
Responsibilities:
- Platform & Service Development: Design, build, and maintain backend services, APIs, and microservices in a Java and Linux based environment.
- System Architecture & Scaling: Contribute to the architecture of largescale, distributed systems with a focus on performance, reliability, and security.
- Cloud & Deployment: Develop and deploy services in cloud environments.
- Database Engineering: Work with relational databases to support high volume, data driven applications.
- Containerization & Runtime: Build, optimize, and operate containerized services across the platform.
- Monitoring & Optimization: Troubleshoot and resolve production issues, enhance system monitoring capabilities, and optimize system performance.
Requirements:
- BS in Computer Science or equivalent
- 10+ years of experience building and operating software applications or platform level systems.
- Strong proficiency in all of the following technologies: Java, Ansible/Python, Postgres/MySQL/MariaDB, Linux, AWS
- Hands-on experience with microservices, RESTful APIs, and distributed system design.
- Proficiency with SQL databases and data intensive application patterns.
- Experience deploying and operating services in cloud environments (AWS or similar).
- Strong experience with containers.
- Proficiency with Git based repositories (GitLab, GitHub) and modern development workflows.
- Solid understanding of software engineering fundamentals, testing, and secure coding practices.
- US citizenship and an active TS/SCI with Polygraph security clearance required
Desired Experience:
- Familiarity with distributed data and streaming tools (Hadoop, Spark, Yarn, Hive, Trino).
- Experience with data access control models such as RBAC and ABAC, including the Customer’s Enterprise access control and entitlement management systems
- Background supporting largescale, multitenant platforms or high availability systems.
- Experience hardening systems to meet the highest accreditation or security compliance levels.
- Familiarity with Ansible
Do you know anyone for this position, or other positions open at The Swift Group? We offer a $5,000 bonus for any referral candidate we hire, paid out at the new hire’s 90-day mark.
We are not working with outside staffing agencies to fill this position, and we will not be accepting unsolicited resumes. All inquiries must go through the recruiting team.
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