Support a team specializing in designing, engineering, implementation, development and maintenance of enterprise quality mission systems, networks, and applications - DevOps position
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 .
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 customers Enterprise services
Required 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 .
Desired Skills
1. Experience deploying and managing data platform components: Apache Spark, Tri no, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs2. 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 customers Enterprise services