Machine Learning Devops Engineer Jobs in Maryland

Job Summary:

The DevOps Engineer is a technical operational engineering role responsible for improving DevOps, Release Management, Test Automation, and platform operations through intelligent automation, operational tooling, observability, and AI-enabled capabilities. This role focuses on building scalable operational solutions that improve system reliability, reduce manual operational effort, strengthen production visibility, and optimize engineering support workflows across the Connected and OBE programs.

The DevOps Engineer partners closely with Engineering, DevOps, Production Support, Architecture, and Release teams to identify improvement opportunities, streamline operational processes, and implement practical solutions across monitoring, incident management, deployment operations, operational analytics, release coordination, and support workflows. This role is expected to independently drive operational change, collaborate with peer teams and senior DevOps engineers, and influence adoption of scalable automation and AI-assisted engineering practices. This role contributes to implementing operational tooling, automation frameworks, intelligent monitoring capabilities, and AI-assisted solutions that improve operational efficiency, engineering effectiveness, and platform stability.

This is a hands-on engineering role focused on applying modern operational engineering practices to solve enterprise operational challenges through automation, operational intelligence, and scalable engineering solutions. The DevOps Engineer helps improve operational scalability, support responsiveness, operational maturity, and engineering efficiency while aligning enterprise technology and governance standards.

Required in-office presence at least 2 days per week (Hanover, MD)

Essential Functions:

• Design, develop, and maintain intelligent operational solutions, automation workflows, scripts, integrations, and orchestration capabilities across DevOps, Release Management, Test Automation, and operational ecosystems.
• Identify operational bottlenecks, repetitive support activities, and manual engineering processes suitable for automation and operational optimization.
• Independently drive operational improvement initiatives from discovery through implementation, partnering with peer teams, senior DevOps engineers, and cross-functional stakeholders to deliver measurable process and automation outcomes.
• Implement AI-enabled operational capabilities focused on incident visibility, monitoring, alert correlation, workflow automation, operational analytics, engineering efficiency, and AI-assisted development practices using tools such as GitHub Copilot, Claude, or similar platforms.
• Improve observability and operational visibility through dashboards, monitoring integrations, alerting, logging, analytics, reporting, and release insight solutions across enterprise platforms.
• Partner with Engineering, DevOps, Architecture, Production Support, and Release teams to improve operational scalability, engineering effectiveness, and platform reliability.
• Support operational triage, incident coordination, root cause analysis, and operational response workflows through automation and intelligent operational tooling.
• Evaluate, implement, and enhance operational tooling, integrations, automation frameworks, orchestration capabilities, and operational intelligence solutions.
• Apply modern coding, scripting, and AI-assisted vibe-coding practices to rapidly prototype, build, and improve automation, integrations, dashboards, and operational tooling.
• Support release operations, deployment visibility, environment coordination, and operational readiness activities across enterprise platforms.
• Contribute to operational standards, implementation of best practices, governance alignment, and modernization initiatives.
• Assist with operational data analysis, trend identification, operational metrics, engineering productivity insights, and reporting initiatives.
• Collaborate with cross-functional teams to implement scalable operational processes aligned with enterprise technology and security standards.
• Provide technical recommendations related to automation, reliability, scalability, observability, and operational optimization opportunities.
• Support continuous improvement initiatives focused on operational maturity, engineering efficiency, support effectiveness, and platform stability.

Supervisory or Management Responsibility:

• Provide technical collaboration, peer partnership, and operational support across DevOps, Engineering, Release Management, and operational teams, including collaboration with senior DevOps engineers to align implementation approaches and engineering standards.
• Share operational knowledge, automation practices, and implementation guidance with engineering and operational teams.
• Assist leadership and engineering teams with operational insights, technical recommendations, and operational improvement opportunities.

Budget Responsibility:

• Support operational tooling evaluations, technical assessments, and operational platform recommendations.
• Assist with operational tooling research and operational modernization initiatives aligned with long-term engineering and operational goals.

Minimum Education and/or Experience:

• Bachelor's degree in computer science, Information Systems, Engineering, or equivalent combination of education and work experience.
• 6+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, Operational Engineering, Automation Engineering, or enterprise operational support environments.
• Experience working across enterprise technology platforms such as Google Cloud Platform (GCP), GitHub, Salesforce, or comparable cloud, source control, and business application platforms.
• Strong understanding of enterprise operational workflows, operational support models, and platform reliability practices.
• Experience with CI/CD pipelines, release orchestration, environment management, and DevOps operational processes.
• Experience with observability, monitoring, alerting, logging, and operational analytics platforms.
• Experience with automation frameworks, scripting, workflow automation, tooling integrations, and orchestration capabilities.
• Hands-on experience with at least one modern programming or scripting language such as Python, JavaScript, TypeScript, Java, Apex, Go, or similar.
• Experience supporting cloud-based enterprise environments and distributed operational ecosystems.
• Familiarity with AI-assisted operational tooling and development practices, including GitHub Copilot, Claude, or similar AI coding assistants, intelligent automation platforms, operational analytics, or operational intelligence capabilities.
• Understanding incident management, operational triage, root cause analysis, and production support workflows.
• Experience integrating APIs, operational services, enterprise platforms, and automation pipelines.
• Strong communication, stakeholder collaboration, analytical thinking, and problem-solving skills.
• Experience operating within Agile enterprise delivery environments.

Skills/Abilities:

• Experience supporting Salesforce enterprise ecosystems, Salesforce DevOps environments, and platform operations across release, deployment, monitoring, and support workflows.
• Experience with GitHub, GitHub Actions, release orchestration platforms, infrastructure automation, source control practices, or operational workflow tooling.
• Familiarity with AI-assisted development and operational tooling, including vibe coding practices using GitHub Copilot, Claude, or similar tools, operational intelligence platforms, or enterprise automation frameworks.
• Experience supporting enterprise-scale production support operations and operational modernization initiatives.
• Experience with operational analytics, engineering productivity tooling, intelligent monitoring solutions, or operational dashboards.
• Familiarity with cloud-native operational tooling, including Google Cloud Platform (GCP) or comparable cloud platforms, enterprise observability platforms, and operational automation practices.

Core Competencies:

• Build relationships
• Develop people
• Lead change
• Inspire Others
• Think critically
• Communicate clearly
• Create Accountability

Benefits Overview:

Benefits are subject to change and may be subject to specific elections, plan, or program terms.  This role is eligible for the following:

• Medical, dental & vision
• Hospital plans
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
• Company paid Short and long-term disability
• Health & Dependent Care Spending Accounts (HSA & DCFSA)
• Transportation benefits
• Employee Assistance Program
• Tuition Assistance
• Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave)

Salary Range:

• $96,400.00 - $144,600.00
  
• The position is bonus-eligible
• Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
 
If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email Lauren Lara at llara@allegisgroup.com or call 410-579-3526 for other accommodation options.