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Support a team specializing in designing, engineering, implementation, development and maintenance of enterprise quality mission systems, networks, and applications
Mandatory Skills
Optional Skills
B
DevOps Engineer
Bespoke Technologies, Inc.
United StatesRemote
About the role
BT-303 – DevOps Engineer
Location: McLean, VA (fully on-site, no remote option)
Support a team specializing in designing, engineering, implementation, development and maintenance of enterprise quality mission systems, networks, and applications
Mandatory Skills
- Hands-on experience writing, testing, and maintaining Infrastructure as Code with Terraform (required) and CloudFormation (required)
- Hands-on experience configuring, managing, and troubleshooting AWS services including EC2, Lambda, S3, RDS, VPC, Security Groups, NACLs, IAM, CloudWatch, and other core services
- Hands-on experience implementing and managing Cl/CD pipelines (Jenkins preferred, but experience with GitLab Cl, GitHub Actions, or similar acceptable}
- Strong proficiency in Bash (required) and Python (required) scripting
- Hands-on experience with containerization technologies (Docker required)
- Hands-on experience integrating and deploying diverse software systems: AWS cloud services, open-source applications, COTS/GOTS products, and custom applications
- Strong understanding of networking fundamentals, security best practices, IAM policies, and AWS
- architecture best practices
- Hands-on experience with Git-based workflows, branching strategies, and version control best practices
- Hands-on experience with monitoring, logging, and alerting systems (Prometheus/Alertmanager, CloudWatch, or similar)
- Hands-on experience with database self-hosting including installation, configuration, backup/recovery, high availability, and performance tuning (PostgreSQL and MySQL)
Optional Skills
- Experience with secrets management solutions (AWS Secrets Manager, or similar)
- Knowledge of disaster recovery, backup strategies, and continuity planning
- Familiarity with API gateways and modern microservices patterns
- Experience with cost optimization practices in AWS
- Experience deploying and managing data platform components: Apache Spark, Trina, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs
- Familiarity with data lakehouse architectures and supporting infrastructure
- Background deploying and supporting Al/ML workloads or model serving infrastructure
- Experience mentoring team members on DevOps and cloud best practices
- Familiarity with additional monitoring tools (Grafana, ELK stack)
- Experience integrating customer's Enterprise services (SSO, etc.)
- Experience with NoSQL databases (DynamoDB, MongoDB, etc.
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