Senior / Staff DevOps Engineer [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior / Staff DevOps Engineer based in the United States.

This is a high-impact opportunity for an experienced DevOps professional to shape the reliability, scalability, and security of a mission-critical technology platform used by organizations worldwide. Working in a fully remote environment, you will lead infrastructure strategy, automation initiatives, and operational excellence efforts while partnering closely with engineering, product, and security teams. The role combines hands-on technical leadership with strategic influence, enabling you to drive cloud architecture decisions, modernize deployment workflows, and strengthen compliance and security practices. You will play a key role in building resilient systems, improving developer productivity, and leveraging AI-powered tools to accelerate infrastructure and platform engineering. Ideal candidates thrive in fast-moving environments, embrace ownership, and are passionate about creating secure, scalable systems that support continuous growth and innovation.

Accountabilities

• Design, build, and maintain secure, scalable, and cost-efficient cloud infrastructure with a strong focus on automation, reliability, and operational excellence.
• Lead the development and continuous improvement of infrastructure-as-code frameworks, deployment pipelines, and platform automation capabilities.
• Own and optimize CI/CD processes, ensuring rapid, reliable, and secure software delivery across the development lifecycle.
• Establish and enhance observability practices through monitoring, logging, tracing, alerting, and dashboarding solutions that proactively identify and resolve issues.
• Drive infrastructure security initiatives, including identity and access management, encryption, secrets management, network security, and vulnerability remediation.
• Partner with cross-functional teams to maintain compliance with industry standards and regulatory frameworks while automating controls and audit readiness processes.
• Lead incident response efforts, participate in on-call operations, facilitate post-incident reviews, and implement long-term improvements that enhance system reliability.
• Define service reliability objectives, support capacity planning, and perform performance optimization to ensure platform scalability and availability.
• Leverage AI-powered engineering tools to accelerate infrastructure development, automate operational workflows, improve troubleshooting, and enhance team productivity.
• Mentor engineers, establish platform engineering best practices, and contribute to a culture of continuous improvement, shared accountability, and technical excellence.

Requirements

• 6+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering within a software development environment.
• Deep expertise with major cloud platforms, preferably Google Cloud Platform (GCP), along with strong knowledge of networking, distributed systems, and cloud architecture.
• Extensive experience with infrastructure-as-code tools such as Terraform, Pulumi, CloudFormation, or similar technologies.
• Strong hands-on experience with containerization and orchestration technologies including Docker, Kubernetes, ECS, or equivalent platforms.
• Proven ability to build, manage, and optimize CI/CD pipelines using tools such as GitHub Actions, CircleCI, or comparable solutions.
• Experience implementing and maintaining observability platforms, monitoring frameworks, and operational dashboards.
• Strong scripting and programming skills in languages such as Python, Go, Bash, TypeScript, or similar.
• Advanced knowledge of cloud security best practices, including IAM, least-privilege access controls, encryption, secrets management, and vulnerability management.
• Hands-on experience supporting compliance frameworks such as SOC 2, ISO 27001, GDPR, HIPAA, or related standards.
• Demonstrated proficiency using AI-powered development and productivity tools, including GitHub Copilot, Cursor, Claude Code, or equivalent technologies.
• Experience leading production incident response, participating in on-call rotations, and driving operational improvements based on postmortem analysis.
• Excellent communication, documentation, and collaboration skills, with the ability to work effectively across distributed teams.
• Prior experience working within startup environments and rapidly evolving organizations is required.
• Familiarity with identity verification technologies, AI-driven platforms, or machine learning-based products is considered a plus.

Benefits

• Competitive base salary ranging from $200,000 to $225,000 USD annually , depending on experience and level.
• Equity compensation as part of the overall rewards package.
• Fully remote work environment with flexibility to work from anywhere within the United States.
• Self-managed paid time off policy supporting work-life balance.
• 11+ paid company holidays annually.
• 401(k) retirement savings plan.
• Comprehensive medical, dental, and vision insurance coverage.
• Employee Assistance Program (EAP) and additional wellness resources.
• Access to wellness and healthcare programs, including virtual health services and preventative care support.
• Parental leave benefits.
• Inclusive and collaborative culture focused on innovation, diversity, and professional growth.
• Opportunity to work on cutting-edge infrastructure, security, and AI-enabled engineering initiatives within a rapidly growing technology environment.

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!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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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. 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.