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Description:
Support a team specializing in designing, engineering, implementation, development and maintenance of enterprise quality mission systems, networks, and applications - DevOps position
Mandatory Skills:
1.
⢠Demonstrated experience implementing and managing Cl/CD pipelines (Jenkins required)
2.
⢠Strong proficiency with Infrastructure as Code tools: Terraform (required)
3.
⢠Demonstrated experience with AWS services including EC2, S3, RDS, Lambda, VPC, 1AM, CloudWatch, and other core services
4.
⢠Demonstrated experience with containerization (such as Docker and Pod man)
5.
⢠Strong scripting proficiency: Bash (required) and Python (required)
6.
⢠Experience with database self-hosting including installation, configuration, backup/recovery, high availability, and performance tuning (PostgreSQL and MySQL)
7.
⢠Hands-on experience with monitoring, logging, and alerting systems such as Prometheus/Alertmanager and CloudWatch
8.
⢠Demonstrated experience integrating and deploying diverse software systems: AWS cloud services, open-source applications, COTS/GOTS products, and custom applications
9.
⢠Strong understanding of networking, security, 1AM policies, and AWS architecture best practices
10.
⢠Experience with Git-based workflows, branching strategies, and version control best practices
Optional Skills:
1.
⢠Experience deploying and managing data platform components: Apache Spark, Tri no, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs
2.
⢠Familiarity with data lakehouse architectures and supporting infrastructure
3.
⢠Experience with secrets management solutions (AWS Secrets Manager, Parameter Store)
4.
⢠Knowledge of disaster recovery, backup strategies, and continuity planning
5.
⢠Familiarity with API gateways and modern microservices patterns
6.
⢠Experience with cost optimization practices in AWS
7.
⢠Background deploying and supporting Al/ML workloads or model serving infrastructure
8.
⢠Experience mentoring team members on DevOps and cloud best practices
9.
⢠Experience with NoSQL databases (DynamoDB, MongoDB, etc.)
10.
⢠Familiarity with additional monitoring tools (Grafana, ELK stack)
11.
⢠Experience integrating customer's Enterprise services
Software Developer
Laurel, MD
š Clearance & Citizenship Requirements
This position requires U.S. Citizenship and an active TS/SCI security clearance with Full Scope Polygraph. Candidates who do not currently hold these credentials will not be considered.
Description:
Support a team specializing in designing, engineering, implementation, development and maintenance of enterprise quality mission systems, networks, and applications - DevOps position
Mandatory Skills:
1.
⢠Demonstrated experience implementing and managing Cl/CD pipelines (Jenkins required)
2.
⢠Strong proficiency with Infrastructure as Code tools: Terraform (required)
3.
⢠Demonstrated experience with AWS services including EC2, S3, RDS, Lambda, VPC, 1AM, CloudWatch, and other core services
4.
⢠Demonstrated experience with containerization (such as Docker and Pod man)
5.
⢠Strong scripting proficiency: Bash (required) and Python (required)
6.
⢠Experience with database self-hosting including installation, configuration, backup/recovery, high availability, and performance tuning (PostgreSQL and MySQL)
7.
⢠Hands-on experience with monitoring, logging, and alerting systems such as Prometheus/Alertmanager and CloudWatch
8.
⢠Demonstrated experience integrating and deploying diverse software systems: AWS cloud services, open-source applications, COTS/GOTS products, and custom applications
9.
⢠Strong understanding of networking, security, 1AM policies, and AWS architecture best practices
10.
⢠Experience with Git-based workflows, branching strategies, and version control best practices
Optional Skills:
1.
⢠Experience deploying and managing data platform components: Apache Spark, Tri no, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs
2.
⢠Familiarity with data lakehouse architectures and supporting infrastructure
3.
⢠Experience with secrets management solutions (AWS Secrets Manager, Parameter Store)
4.
⢠Knowledge of disaster recovery, backup strategies, and continuity planning
5.
⢠Familiarity with API gateways and modern microservices patterns
6.
⢠Experience with cost optimization practices in AWS
7.
⢠Background deploying and supporting Al/ML workloads or model serving infrastructure
8.
⢠Experience mentoring team members on DevOps and cloud best practices
9.
⢠Experience with NoSQL databases (DynamoDB, MongoDB, etc.)
10.
⢠Familiarity with additional monitoring tools (Grafana, ELK stack)
11.
⢠Experience integrating customer's Enterprise services
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