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# Senior DevOps Engineer [$305k/yr+] S

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States (Remote available)
- **Experience:** Expert
- **Salary:** $305,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Build Automation, Automation of Tests, Bash Shell, Big Data, Cloud Computing, Cloud Engineering, Configuration Management, DevOps, Elasticsearch, Apache Hadoop, Python (Programming Language), Linux System Administration, Ansible, Software Engineering, System Availability, Delivery Pipeline, Apache Spark, Backend, Containerization, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Apache Kafka, Functional Programming, Terraform, Golang
- **Published:** November 3, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9284291/senior-devops-engineer-305kyr-s

## About the Role

* Degree: Technical master's degree or equivalent experience
 * Years of experience: 14+ years
 * Total Compensation: $305k+ yearly

## Description

* Implement and manage cloud infrastructure and container orchestration across AWS and Kubernetes environments.
 * Automate build, deployment, and configuration workflows utilizing robust CI/CD pipelines, Terraform, and Ansible.
 * Develop automation scripts and backend tooling in Python, Bash, and Go while supporting enterprise Linux systems.
 * Maintain high availability, monitoring, and scalability for mission-critical big data architectures., * Design, deploy, and manage scalable cloud infrastructure in AWS, with an emphasis on EKS, EC2, S3, and Lambda.
 * Manage and maintain Kubernetes clusters, containerized workloads, and orchestration frameworks.
 * Automate deployment processes and construct CI/CD pipelines to facilitate rapid, reliable system delivery.
 * Utilize configuration management and infrastructure-as-code tools such as Terraform and Ansible.
 * Develop software and automation solutions using Python, Bash, or Go in terminal-based Linux environments.
 * Support integration, deployment, and scaling of big data technologies including Kafka, Spark, Hadoop, and Elasticsearch.
 * Monitor production systems, diagnose complex technical issues, and ensure operational resilience and high availability.

Telework:
This position supports a hybrid work arrangement with an average of 2-3 days per week on-site.