Software Engineer

Modern Technology Solutions Inc • Chantilly, VA

20h • Onsite

About The Position

As an experienced Software Engineer with MTSI you will be responsible for designing, implementing, and maintaining real-time data ingestion infrastructure for a project using an agile development model. This position will be located in Chantilly, VA. Your essential job functions will include but may not be limited to:

Requirements

• 5+ years' of experience in software and data engineering.
• Proficiency in at least one or more high-level programming languages (e.g., Java, Python, C/C++).
• Experience working with Linux-based servers and systems.
• Experience with at least one modern database (e.g., PostgreSQL), ETL (e.g., Apache NiFi), or Data Science (e.g., MapReduce) technology.
• Ability to work both independently and in a collaborative team environment.
• Excellent verbal and written communication skills.
• Current TS/SCI eligibility, with a current CI Poly.
• U.S. Citizenship is required for this position.

Nice To Haves

• Experience with AWS services (e.g., S3).
• Experience with containerizing applications using Docker and deploying them to a container orchestration platform (e.g., Kubernetes).
• Experience with PostgreSQL.
• Experience with Apache Kafka.
• Experience with GeoServer or Open Geospatial Consortium (OGC) standards.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Elasticsearch, Kibana).
• Experience with CI/CD tools (e.g., Helm, Harbor, ArgoCD, Jenkins).
• Experience with Agile methodologies.
• DoD 8570 IAT level 3 (CompTIA Security+) compliant.
• AWS certification (e.g., AWS Solutions Architect Associate or Professional).

Responsibilities

• Design, implement, and maintain real-time data ingestion and ETL pipelines.
• Manage and maintain Apache NiFi clusters running as containerized workloads in Kubernetes.
• Manage other components of our data infrastructure, such as Apache Kafka, as required.
• Analyze new data sources and integrate them into our data pipeline.
• Collaborate with other teams to ensure successful integration of data infrastructure with existing systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees