Staff DevOps Automation Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff DevOps Automation Engineer based in United States. This role owns the delivery and operational foundation supporting advanced data and AI initiatives across a global technology environment. You will architect secure, scalable cloud infrastructure and establish the automation patterns that enable engineering teams to move quickly and safely. The position spans Infrastructure as Code, CI/CD, environment management, observability, reliability, and production operations. You will help build self-service capabilities that give data scientists and engineers efficient access to compute, data, and machine learning resources. Working across platform leadership and engineering teams, you will shape technical standards and make high-impact architectural decisions. This is an opportunity to influence how modern, increasingly AI-driven workloads are delivered and operated at scale.

Accountabilities

• Design, build, automate, and operate secure and scalable cloud infrastructure across Azure using Infrastructure as Code technologies such as Terraform and Pulumi.
• Embed governance, compliance, security, data quality, and auditability into infrastructure and platform solutions by design.
• Develop and maintain CI/CD pipelines, self-service capabilities, and resource provisioning frameworks that enable engineering and data teams to access compute, data, and ML resources efficiently.
• Establish and manage platform operations, including monitoring, observability, alerting, incident response, reliability practices, support models, and operational processes.
• Evaluate emerging technologies and cloud services, assess their practical value, and implement modern tooling that improves platform capabilities, scalability, and user experience.
• Partner with platform leadership, engineering teams, and internal stakeholders to translate business and technical requirements into reliable, well-engineered solutions.
• Drive cross-team architecture and design decisions, establish technical standards, and contribute to platform-wide engineering practices.
• Mentor engineers and promote technical excellence, automation, continuous learning, and collaboration across the organization.
• Support infrastructure initiatives for data and AI workloads, including increasingly LLM-driven and agentic applications.

Requirements

• 5+ years of experience in software, platform, or infrastructure engineering, including hands-on experience supporting data and/or AI/ML infrastructure.
• Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
• Deep hands-on expertise with at least one major cloud platform, particularly Azure or AWS, along with working familiarity with multi-cloud environments and cloud-based data and AI services.
• Strong experience with Infrastructure as Code tools such as Terraform or Pulumi, CI/CD platforms such as GitHub Actions or GitLab CI, and containerization and orchestration technologies including Docker and Kubernetes.
• Proficiency in at least one programming or scripting language such as Python, Go, or Bash for automation and infrastructure tooling.
• Strong understanding of cloud security and networking fundamentals, with demonstrated experience provisioning secure resources and operating production systems.
• Experience with monitoring, observability, incident response, reliability engineering, and production operations.
• Proven ability to establish technical direction at platform scale, influence architecture and design decisions across teams, and develop engineering standards.
• Strong mentoring, communication, documentation, and stakeholder collaboration skills, with the ability to operate effectively in ambiguous and high-impact environments.
• Experience in life sciences, diagnostics, biotechnology, or other regulated industries is a plus.
• Familiarity with regulatory and compliance environments such as HIPAA, GxP, SOX, and rigorous data governance practices is desirable.
• Experience working in a matrixed organization is an advantage.
• Willingness and ability to travel up to 10%.

Benefits

• Annual salary range of $180,000–$220,000.
• Eligibility for bonus or incentive compensation.
• Comprehensive benefits package for eligible employees.
• Medical, dental, and vision insurance.
• 401(k) retirement benefits.
• Paid time off.
• Fully remote work arrangement from a home-based location in the United States.
• Flexible working arrangements designed to support different work styles and needs.
• Opportunity to work on modern cloud, data, AI/ML, and automation technologies at significant scale.
• Opportunity to influence technical architecture, establish engineering standards, and mentor other engineers.
• Exposure to complex and meaningful technology initiatives across life sciences, diagnostics, biotechnology, and other business domains.

How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.