Sr. Devsecops Engineer III
| Company | MetroStar |
|---|---|
| Location | Washington, DC, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Expert or higher |
Requirements
- Ability to obtain and maintain a DHS Suitability
- Bachelor’s degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience
- Minimum of ten (10) years of experience in the Information Technology field, DevSecOps, AI/ML engineering projects, and technical architecture
- Strong software engineering background
- Strong architecture & design experience, including at least three (3) years of experience deploying production enterprise applications in AWS that use AI/ML
- Familiarity with event-driven architecture patterns
- Experience in large-scale, high-performance enterprise big data application deployment and solution architecture on complex heterogeneous environments in AWS
- Proficiency in scripting languages including Python, or Shell and experience with infrastructure-as-code (IaC) tools like Terraform or CloudFormation
- Expertise in containerization technologies and platforms to include Docker and Kubernetes
- Extensive experience with CI/CD pipeline automation and tools like Jenkins, Travis CI, Circle CI, GitLab CI/CD, or Github Actions
- Ability to set up and configure monitoring tools like New Relic, Prometheus, Grafana, Nagios, or ELK stack
- Strong understanding of networking concepts, including routing, firewalls, load balancing and basic knowledge of database administration and SQL
- Experience with the Elastic stack and/or Amazon OpenSearch
Responsibilities
- Develop innovative technical solutions and identify areas of improvement in software architecture and overall technical architecture
- Establish and maintain Cloud, DevSecOps, and Cyber strategies for execution and growth of the Machine Learning and AI operations across public sector clients
- Seek ways to continuously optimize and improve all operational aspects of cyber solutions across Cloud and DevOps (DevSecOps)
- Collaborate with a team of talented data scientists, machine learning engineers, and application developers to create unique solutions and capabilities, as well as provide guidance for implementation
- Lead DevSecOps tech challenges and proposals with team members
- Assist Growth Team and Account Leads in the expansion and enhancement of a pipeline to support short- and long-range growth plans
- Participate in long range strategic planning activities designed to meet the Company’s objectives and to increase its enterprise value and revenue goals
- Provide architectural guidance, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements
- Engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas
Preferred Qualifications
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No preferred qualifications provided.