Senior DevOps Engineer

The compensation for this role will be competitive and is aligned with industry standards, taking into consideration factors such as experience, education, and geographic location. The base salary range for this position is $150,200to $188,700(USD), exclusive of any discretionary bonuses and benefits.

Mission Edge Technologies is seeking a highly experienced and technically proficient Senior Dev Ops Engineer to play an integral role in our team, focusing on deploying infrastructure and engineering workflows and processes to support enterprise AI rollouts. This position requires deep expertise in Dev Ops principles, including containerization, CI/CD pipeline architecture, and AI model lifecycle management. The ideal candidate will be adept at ensuring robust, scalable, and efficient deployment and maintenance of AI applications at an enterprise scale.

• Design, implement, and maintain robust infrastructure for enterprise AI applications in cloud environments (AWS, Microsoft Azure).
• Develop and optimize engineering workflows and processes to support AI model development, deployment, and maintenance.
• Architect and manage CI/CD pipelines for continuous integration and continuous delivery of AI models and applications.
• Implement and manage containerization solutions using technologies like Docker and Kubernetes.
• Ensure efficient AI model lifecycle management, including versioning, monitoring, and scaling.
• Collaborate with AI/ML engineers and data scientists to streamline deployment processes and optimize resource utilization.
• Oversee system performance, security, and scalability of AI infrastructure.
• Continuously research and implement new Dev Ops tools and practices to enhance efficiency.

• Due to the nature of this position and the information that employees willbe requiredtoaccess;
  
  U.S. Citizenship is required.
• Active TS/SCI w/ polygraph
• B.S. in a relevant technical field with 12 years of experience, or M.S. in a relevant technical field with 10 years of experience.
• Advanced proficiency in Dev Ops principles and practices.
• Demonstrated expertise in containerization using Docker and Kubernetes.
• Proven experience in architecting and managing CI/CD pipelines.
• Extensive experience with AI model lifecycle management and maintenance.
• Familiarity with cloud platforms (AWS, Microsoft Azure) for infrastructure deployment and management.
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
• Ability to translate complex technical concepts into actionable engineering solutions.

• Experience with infrastructure as code (IaC) tools (e.g., Terraform, Ansible).
• Understanding of machine learning concepts and their implications for infrastructure.
• Continuous learning mindset to stay abreast of cutting-edge Dev Ops and AI advancements.

Work is typically based in a busy office environment and subject to frequent interruptions. Business work hours are normally set from Monday through Friday 8:00am to 5:00pm, however some extended or weekend hours may be required. Additional details on the precise hours will be informed to the candidate from the Program Manager/Hiring Manager.

Employees are required to notify management in advance of any plans to relocate out of state to ensure compliance with company policies and applicable employment regulations.

May be required to lift and carry items weighting up to 25 lbs. Requires intermittent standing, walking, sitting, squatting, stretching and bending throughout the workday.

Successful Completion of a Background Screening/Check/Investigation will be required as a condition of hire.

Mission Edge Technologies offers competitive compensation, a flexible benefits package, career development opportunities that reflect its commitment to creating a diverse and supportive workplace. Benefits include, not all inclusive – Medical, Vision & Dental Insurance, Paid Time-Off & Company Paid Holidays, Personal Development & Learning…