Software Engineer

Swift • Hanover, MD

3h

About The Position

For the OPS Consulting team, ‘the power to help’ means helping our clients, helping serve the mission, helping our employees and their families, and helping the community. Headquartered in Hanover, MD. OPS Consulting has over two decades of experience specializing in the most mission-critical operations. We are thought leaders and innovators. The ingenuity of our developers, engineers, cyber experts, linguists, and analysts are dedicated to empowering our clients, fulfilling The Mission, and remaining trusted leaders and advisers in national security and technology solutions.

We are seeking Software Engineers to design, develop, test, deploy, document, maintain, and enhance complex software systems supporting a secure, large-scale, multi-tenant Linux computing environment.
These systems include high-performance compute platforms, distributed data processing pipelines, workflow orchestration services, operational data flows, and full-stack web applications that manage access to enterprise resources. Work may involve processing-intensive analytics, automation tooling, containerized microservices, real-time systems, data repositories, and platform integrations.
Engineers work independently or as part of Agile teams to deliver secure, scalable, and reliable software solutions supporting mission-critical workloads.

Multiple Openings
We are hiring multiple Software Engineers at varying levels (SWE-1 through SWE-4). While all roles operate within the same secure Linux and Kubernetes-based ecosystem, each position has a primary technical focus area.
Engineers are aligned with a single core focus area based on their experience and interests. Candidates are not expected to perform across all areas listed below.

Current focus areas include:
Platform & DevOps Engineering
Develop automation using Bash and Python
Implement Infrastructure-as-Code using tools such as Ansible
Design and maintain CI/CD pipelines (GitLab CI, Jenkins, etc.)
Improve release management, build reliability, and deployment processes
Data Engineering & Distributed Processing
Design and optimize data ingress and egress mechanisms
Develop distributed processing jobs using Apache Spark
Implement data validation, transformation, and anomaly detection
Work with structured and semi-structured data formats (Parquet, JSON, CSV, XML)
Workflow Orchestration
Design and maintain Apache Airflow DAGs
Implement observable, scalable workflow patterns
Integrate distributed processing engines and containerized runtimes
Full-Stack & API Development
Develop web interfaces using JavaScript, HTML, CSS, and modern frameworks (e.g., React)
Design REST APIs using Python frameworks (e.g., FastAPI)
Implement secure authentication and authorization integrations
Develop relational and non-relational database applications
Containerized Application Engineering
Develop Python-based services
Integrate with MongoDB, PostgreSQL, and messaging frameworks (e.g., RabbitMQ, Kafka)
Deploy services using Docker, containerd, Podman, and Kubernetes
Create and maintain Helm charts
Dataflow Platform Engineering
Design and administer Apache NiFi data flows
Create and troubleshoot complex operational data transport pipelines
Implement secure and compliant data handling practices

Requirements

• US citizenship and an active TS/SCI with polygraph security clearance required
• Strong experience using Linux CLI and tools
• Software development experience in one or more languages such as Python, Java, C/C++, JavaScript, etc.
• Experience with Git source control
• Experience with container technologies (Docker, containerd, Podman)
• Experience with Kubernetes-based deployments
• Experience with shell scripting (Bash)

Nice To Haves

• CI/CD tools (GitLab CI, Jenkins)
• Infrastructure-as-Code (Ansible)
• Apache Spark
• Apache Airflow
• Apache NiFi
• React or other modern JavaScript frameworks
• FastAPI or similar REST frameworks
• MongoDB and/or PostgreSQL
• Messaging frameworks (RabbitMQ, Kafka)
• Observability tools (Elastic Stack, Prometheus, Grafana, Splunk)
• Atlassian tools (Jira, Confluence)
• HPC scheduling familiarity (e.g., Slurm)
• Cloud platform familiarity (AWS)
• Understanding of OIDC/OpenID authentication protocols

Responsibilities

• Analyze user requirements to derive software design and performance requirements
• Design and implement new software or enhance existing systems
• Debug and resolve software defects
• Develop and execute test procedures
• Integrate software into new or modified operating environments
• Coordinate software installation and monitor performance to ensure operational specifications are met
• Document system architecture, design decisions, and test results

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level