Position: DevOps Engineer
Location: Aurora, CO
Clearance: Active TS/SCI
Sign-On Bonus Eligible: Yes
FLSA: Exempt
We are currently seeking a highly skilled DevOps Engineer to join our team as we prepare to launch a classified tool designed for the Multi-INT domain. The ideal candidate will have a strong background in DevOps practices and a proven track record of preparing complex systems for production. The role requires expertise in AI/ML technologies and proficiency in Python.
Key Responsibilities:
- Collaborate with development teams to optimize software delivery for a classified tool about to enter production.
- Implement and maintain CI/CD pipelines to ensure reliable and rapid deployment of our AI/ML-driven tool.
- Administer and scale cloud and on-premises environments to meet the operational requirements of the project.
- Ensure the security and compliance of the infrastructure in accordance with classified information handling standards.
- Monitor system performance, troubleshoot issues, and provide solutions to optimize operations.
- Automate infrastructure provisioning and deployment processes using cutting-edge technologies and scripting in Python.
- Document DevOps processes and maintain operational guidelines for production environments.
- Provide operational support and incident response for production issues, enabling high availability and continuous performance improvement.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field or relevant industry experience in a similar capacity.
- Active TS/SCI clearance.
- Experience with Kaniko, Jenkins, K8's, and Rancher
- Strong understanding of cloud services, containerization (Docker, Kubernetes), and infrastructure as code (IaC) principles.
- Proficient in implementing and managing CI/CD workflows and tools.
- Experience with system monitoring tools and automated logging solutions.
- Familiarity with cybersecurity requirements for handling classified tools and sensitive data.
- Excellent analytical, problem-solving, and communication skills.
Desired Experience:
- Docker experience or experience with containerization
- Experience with AI/ML technologies and the ability to work with Python.
Join Our Team! At DeNOVO Solutions, we are committed to providing exceptional technical and professional services throughout the Intelligence Community (IC). As a Minority Owned-Service Disabled Veteran Owned Small Business (MO/SDVOSB), we prioritize improving our customer's competitive position and foster a collaborative work environment. We offer an attractive benefits package to our full-time employees, which includes:
- Competitive Wages: This position offers an annualized pay range of $90,000.00 to $150,000.00, ensuring you're rewarded for your expertise and contributions.
- Comprehensive Health Benefits: Enjoy 100% employer-paid medical, dental, and vision premiums for you and your dependents.
- Lifestyle Spending Account (LSA): DeNOVO Solutions cares about your well-being, providing additional support for your lifestyle needs.
- Financial Security: Benefit from short-term and long-term disability coverage, along with a 401k plan featuring a 6% match.
- Sign-On Bonuses: We value your skills and expertise, offering sign-on bonuses for critical positions.
- Work-Life Balance: Enjoy 11 paid Federal holidays and a generous allotment of 120 hours of Paid Time Off (PTO).
- Professional Development: We invest in your growth with tuition reimbursement, skillset training, and assistance in acquiring new/renewed certifications.
- Company Outings and Trips: Join us for exciting company outings and trips, fostering team building and camaraderie.
About Us: DeNOVO Solutions is proud to be an Equal Opportunity/Affirmative Action Employer. We value diversity and inclusivity, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information, or any other protected characteristic under applicable law.