with the Linux command line and shell scripting Understanding of basic data concepts - file formats (e.g. CSV, Parquet), data pipelines, and storage layers Exposure to containers and Podman or Docker Comfortable using Git; an awareness of CI/CD practices and tools such as GitHub Actions or Azure DevOps Nice to have: Experience of working with Apache Spark/Flink More ❯
Qualifications: Exposure to FAA programs or NAS systems. Experience with FAA systems, federal modernization efforts, or mission-critical environments. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Background in DevSecOps, CI/CD pipelines, and automated testing. Knowledge of security standards and performance optimization techniques. Advanced certifications (e.g., AWS Certified Developer, Microsoft Certified: Azure Developer More ❯
Arlington, Virginia, United States Hybrid / WFH Options
STR
/CD tools (Gitlab) and pipeline automation cloud platforms (such as AWS, Azure, or Google Cloud), and automated provisioning tools (such as Ansible, Chef, TerraForm) containerization technologies such as Docker and Podman Kubernetes management solutions such as EKS and Rancher Experience deploying, and monitoring Kubernetes clusters and pod configurations Basic knowledge of Linux System Administration Knowledge of Python and Linux More ❯
GeoServer, Geospatial data and technologies Knowledge of maintaining security continuous monitoring Knowledge of DevOps Technical skills in data management and working knowledge of Geospatial Information Systems (GIS) Knowledge of docker, podman, containers, Kubernetes, Quarkus and/or helm Experience with ArcGIS, GeoServer and/or Open Geospatial Consortium (OGC) standards-based web services such as Web Map Service (WMS), Web More ❯
Cloud Platforms: Hands on experience with AWS, Azure, or Google Cloud Platform. • Infrastructure Automation: Proficiency with Terraform, CloudFormation, Ansible or equivalent IaC tools. • Containerisation & Orchestration: Experience deploying and managing Docker and Kubernetes clusters (EKS, AKS, GKE or on prem). • Programming/Scripting: Competent in Python, Bash, PowerShell or similar, for automation and tooling. • Networking & Storage: Strong understanding of VPC More ❯
Snowflake to ensure seamless data ingestion, transformation, storage, and retrieval. Cloud-Native Solutions: Leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless architectures, containerization (e.g., Docker, Kubernetes), and Infrastructure as Code (e.g., Terraform). Agile Delivery: Drive solution delivery through agile methodologies, managing end-to-end development cycles, from requirements gathering to deployment and monitoring, ensuring More ❯
Snowflake to ensure seamless data ingestion, transformation, storage, and retrieval. Cloud-Native Solutions: Leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless architectures, containerization (e.g., Docker, Kubernetes), and Infrastructure as Code (e.g., Terraform). Agile Delivery: Drive solution delivery through agile methodologies, managing end-to-end development cycles, from requirements gathering to deployment and monitoring, ensuring More ❯
Snowflake to ensure seamless data ingestion, transformation, storage, and retrieval. Cloud-Native Solutions: Leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless architectures, containerization (e.g., Docker, Kubernetes), and Infrastructure as Code (e.g., Terraform). Agile Delivery: Drive solution delivery through agile methodologies, managing end-to-end development cycles, from requirements gathering to deployment and monitoring, ensuring More ❯
Snowflake to ensure seamless data ingestion, transformation, storage, and retrieval. Cloud-Native Solutions: Leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless architectures, containerization (e.g., Docker, Kubernetes), and Infrastructure as Code (e.g., Terraform). Agile Delivery: Drive solution delivery through agile methodologies, managing end-to-end development cycles, from requirements gathering to deployment and monitoring, ensuring More ❯
Snowflake to ensure seamless data ingestion, transformation, storage, and retrieval. Cloud-Native Solutions: Leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless architectures, containerization (e.g., Docker, Kubernetes), and Infrastructure as Code (e.g., Terraform). Agile Delivery: Drive solution delivery through agile methodologies, managing end-to-end development cycles, from requirements gathering to deployment and monitoring, ensuring More ❯
Snowflake to ensure seamless data ingestion, transformation, storage, and retrieval. Cloud-Native Solutions: Leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless architectures, containerization (e.g., Docker, Kubernetes), and Infrastructure as Code (e.g., Terraform). Agile Delivery: Drive solution delivery through agile methodologies, managing end-to-end development cycles, from requirements gathering to deployment and monitoring, ensuring More ❯
ELT) from CANES telemetry, logs, and performance counters; develop features for time-series, graph, and NLP use cases; enforce data governance and labeling quality. Operationalize models with MLOps: containerize (Docker), orchestrate (Kubernetes/Openshift), version (MLflow/DVC), and automate CI/CD (GitLab/Jenkins) for model build/test/deploy in disconnected and low-bandwidth scenarios. Optimize More ❯
of FISMA, NIST, or RMF compliance. Proficiency with build tools (Maven/Gradle), version control (Git), and CI/CD tools (Jenkins, GitLab CI). Exposure to containerization technologies (Docker, Kubernetes) and cloud platforms (AWS GovCloud, Azure Government). Understanding of secure coding practices and experience with static/dynamic code analysis tools. Strong problem-solving skills and ability to More ❯
/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Containerisation tools like Docker or Kubernetes Experience with Infrastructure as Code tools (e.g. Terraform or CloudFormation) Strong understanding of data modelling and system architecture Demonstrable experience on at least one AI/ML project More ❯
Bethesda, Maryland, United States Hybrid / WFH Options
Leidos
for Elasticsearch to meet product requirements Guide service deployments, rollout strategies, and observability practices in Kubernetes Contribute to and review RFCs, design documents, and architecture reviews Develop and integrate Docker containers to be deployed to Kubernetes from development to production Monitor automated system integration tests to identify failed modules and components Manage individual project priorities, deliverables, and deadlines Provides specific More ❯
Columbia, Maryland, United States Hybrid / WFH Options
Codescratch LLC
Familiarity with Git and development tools, including deployment pipelines. Understanding of AGILE software development methodologies and use of standard software development tool suites. Preferred Skills and Experience: Experience with Docker and Kubernetes Experience with Hadoop Experience with Spark Experience with Accumulo Experience monitoring application performance with metrics (Prometheus, InfluxDB, Grafana) and logs with ELK Stack (ElsticSearch, Logstash, Kibana) Experience with More ❯
Basic Penetration Testing Technologies • Operating Systems and Virtualisation (Windows and Linux) • Infrastructure as Code and Operational Automation (e.g. Terraform, Ansible) • Message Queueing and Streaming Fabrics (e.g. AMQP, Kafka, Kinesis) • Docker and Kubernetes • Scripting (Shell and PowerShell) • Basic Coding with a bias for Infrastructure (Python, Go, C#) • IAM Policy and Authentication/Authorization schemes • Web Services and REST API • Databases and More ❯
Washington, Washington DC, United States Hybrid / WFH Options
Potawatomi Federal Solutions, LLC
user stories and technical requirements, advising on the best approaches to meet IRS system objectives. Collaborate with CI/CD pipeline integration, containerization, and deployment using Jenkins, GitHub Actions, Docker/Podman, and Kubernetes on AWS. Perform advanced troubleshooting, performance optimization, and root cause analysis for production systems. Mentor less experienced developers, performing code reviews and establishing coding standards and More ❯
of experience in a DevOps environment. Desired Skills Experience developing in and deploying to a Cloud environment (such as Amazon Web Services) Experience with Ruby on Rails Experience with Docker, Kubernetes or similar tools Experience with JMS (e.g., IBM MQ, ActiveMQ) Security Clearance Eligible to obtain a Public Trust Clearance. More About B&A: Notable Clients B&A has grown More ❯
Secret clearance is required to support the role. Primary skills VMware Stack (ESX/NSX-T/VDI) VCF (VMWare Cloud Foundation) OCI (Open Container Initiative) - Open Shift - Kubernetes - Docker Scripting and IaC (Infrastructure as Code) - Ansible - PowerShell - Bash - Python SDN (Software Defined Networking) • Direct engagement with sponsors and stakeholders, to facilitate product or system requirements gathering and analysis, and More ❯
Annapolis Junction, Maryland, United States Hybrid / WFH Options
Lockheed Martin
Secret clearance with polygraph. Desired Skills: Two or more of the below: - Java, Spring boot or python - Microservice architectures - CI/CD Tools: AWS tools, Maven Gitlab & GitOps; Kubernetes, docker, Ansible - Database : NoSQL/MongoDB/DynamoDB Query and Schema Design - OAuth/OIDC Implementation experience - Test frameworks and automation to include Cyprus and Cucumber Clearance Level: TS/SCI More ❯
Software Engineer, with a strong emphasis on distributed systems, cloud-based architectures, developing operational AI/ML solutions, and designing API-based infrastructures, microservices architectures, and containerized applications (e.g., Docker, Kubernetes) Demonstrated experience working with GenAI, in particular LLMs, including preprocessing data, fine-tuning, and deployment in secure and scalable environments to include AI/ML frameworks such as TensorFlow More ❯
paced team with a desire to innovate and improve a multi-faceted organization Must have: 4 years of experience with DevOps Experience with Kubernetes and Helm Charts Experience with Docker and/or Podman Containerization best practices Experience with AWS Services (EKS, Lambdas, EMR, ECR, VPC, etc.) Experience with Terraform Desired Skills: Terraform and Packer with AWS (AMIs, Environment, Configuration More ❯
