DevSecOps Engineer, (Consultant, Engineering & Technical Services)

Fearless•Baltimore, MD

1d•$96,132 - $162,462•Remote

About The Position

We are seeking a DevSecOps Engineer as part of our Consultant, Engineering & Technical Services career path to support the modernization and operation of a large-scale enterprise cloud data platform within the federal government. This role focuses on building and maintaining the shared infrastructure that enables secure, scalable, and governed data services, supporting platform engineering, data operations, and the migration of legacy systems into modern cloud environments. This is a fully remote role. At Fearless, this Consultant collaborates with cross-functional teams to deliver high-quality, secure, and maintainable systems across all stages of the software and data lifecycle. This role is instrumental in delivering secure, efficient, and scalable solutions that directly impact the success of projects, teams, and organizational goals. This role will possess and/or develop the skills to be able to span the domains of software development, data engineering, infrastructure automation, information assurance, and AI/ML integration at a practical application level of proficiency. This Consultant role will work on projects that allow them to contribute across the entire technology stack—software, infrastructure, data, AI, and security—to ensure quality, speed, and innovation in delivery.

Requirements

Minimum of 4 years of experience in DevOps, DevSecOps, cloud operations, systems administration, or related infrastructure roles.
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field, or equivalent work experience.
Ability to obtain and maintain Public Trust clearance.
Proven experience with Azure cloud services, including compute, storage, networking, and identity management.
Hands-on experience implementing and maintaining CI/CD pipelines for application and infrastructure deployments.
Strong proficiency with Infrastructure-as-Code tools and practices to automate environment provisioning and configuration.
Experience with automation and scripting to reduce manual operational tasks and improve efficiency.
Working knowledge of APIs, containerization technologies such as Docker and Kubernetes, and version control using Git.
Analytical Thinking: The ability to observe and interpret information, break down complex problems into parts, identify patterns/relationships and draw logical conclusions to develop effective solutions.
Synthetic Thinking: The ability to combine different ideas, information, or concepts to create a new, complex understanding or solution by integrating disparate elements into a new, meaningful whole.
Adaptability: Comfort with change, flexibility in the face of shifting demands and resilience to setbacks.
Ownership & Accountability: Committed to taking responsibility for outcomes, ensuring that all commitments are met with a focus on enhancing service delivery.
Consultative Advising: Identifies and articulates client challenges, scopes projects and aligns recommendations to business goals and client expectations.
Communicating with Influence: Capable of crafting and delivering clear, persuasive messages that integrate data insights and structured narratives, tailored to the strategic needs of diverse audiences to drive effective decision-making.
Environmental Awareness: Maintains awareness of external dynamics, power structures within client environments as well as regulatory trends and contract requirements that influence service delivery.
Practical Application: You can complete tasks in required competency/skill-based areas as requested. Help from an expert may be necessary from time to time, but you can usually perform the skill independently.
Ability to sit for extended periods while working on a computer or during meetings.
Must be able to travel occasionally to client sites or company meetings, which may involve driving or flying.
Ability to communicate effectively via phone, email, and in-person, requiring clear speech, listening, and written communication skills.
Ability to move within an office environment, including reaching for files, using office equipment, and occasional light lifting (up to 10 pounds).

Nice To Haves

Experience working on federal government programs or in highly regulated environments.
Familiarity with data platform services, data engineering workflows, or analytics infrastructure.
Knowledge of cloud security frameworks, monitoring tools, and operational observability practices.

Responsibilities

Develop and maintain cloud platform services on Azure to support enterprise data operations and analytics workloads.
Automate infrastructure provisioning using Infrastructure-as-Code tools to ensure consistency and repeatability across environments.
Implement and support CI/CD pipelines that enable continuous integration and deployment of platform services and applications.
Manage Infrastructure-as-Code repositories and configurations using Git and version control best practices.
Improve platform security posture by implementing cloud security controls, monitoring solutions, and compliance automation.
Support containerized workloads using Docker and Kubernetes to enable scalable and portable application deployment.
Monitor platform reliability and performance, identifying and resolving operational issues to maintain service availability.
Support cloud deployments and platform integrations that enable customer onboarding and data service delivery.