Software Developer (Systems Software)

What Impact You'll Have

GRVTY is a member of 100% of the winning teams for the largest technology program in the Intel Community. We've been supporting this customer on many different sub-projects of this program since our founding in 2013. We've grown on this effort by providing the customer with Engineers who have done exceptional work, and we've retained our staff by paying very strong salaries, and working hard to ensure each Engineer is doing work that aligns with their career interest.

What You'll Be Owning

GRVTY is seeking a Software Developer (Systems Software) with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA. Support a team specializing in designing, engineering, implementation, development and maintenance of enterprise quality mission systems, networks, and applications.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Demonstrated experience implementing and managing Cl/CD pipelines (Jenkins required)Strong proficiency with Infrastructure as Code tools: Terraform (required)
• Demonstrated experience with AWS services including EC2, S3, RDS, Lambda, VPC, 1AM, CloudWatch, and other core services
• Demonstrated experience with containerization (such as Docker and Pod man)
• Strong scripting proficiency: Bash (required) and Python (required)
• Experience with database self-hosting including installation, configuration, backup/recovery, high availability, and performance tuning (PostgreSQL and MySQL)
• Hands-on experience with monitoring, logging, and alerting systems such as Prometheus/Alertmanager and CloudWatch
• Demonstrated experience integrating and deploying diverse software systems: AWS cloud services, open-source applications, COTS/GOTS products, and custom applications
• Strong understanding of networking, security, 1AM policies, and AWS architecture best practices
• Experience with Git-based workflows, branching strategies, and version control best practices

What Would Be Nice to Have

• Experience deploying and managing data platform components: Apache Spark, Tri no, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs
• Familiarity with data lakehouse architectures and supporting infrastructure
• Experience with secrets management solutions (AWS Secrets Manager, Parameter Store)
• Knowledge of disaster recovery, backup strategies, and continuity planning
• Familiarity with API gateways and modern microservices patterns
• Experience with cost optimization practices in AWS
• Background deploying and supporting Al/ML workloads or model serving infrastructure
• Experience mentoring team members on DevOps and cloud best practices
• Experience with NoSQL databases (DynamoDB, MongoDB, etc.)
• Familiarity with additional monitoring tools (Grafana, ELK stack)
• Experience integrating customer's Enterprise services