2h ago

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Manager, DevOps

United StatesRemoteFull-timemid

EngineeringDevops Engineer

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Quick Summary

Requirements Summary

At least 10 years of professional experience in DevOps, cloud engineering, infrastructure engineering, or a related field, with progressively increasing responsibility.

Technical Tools

EngineeringDevops Engineer

This is an exciting opportunity for an experienced DevOps leader to shape the strategy, infrastructure, and operational practices behind a growing cloud-based technology platform. You will lead and develop a technical team while remaining hands-on with cloud architecture, automation, CI/CD pipelines, and infrastructure management. The role combines strategic planning with practical engineering to improve system reliability, security, scalability, and cost efficiency. You will establish robust processes for releases, incident response, disaster recovery, and observability while modernizing legacy infrastructure. Working closely with software development, data engineering, AI, and platform teams, you will help accelerate delivery without compromising quality or operational resilience. This remote leadership opportunity is ideal for someone who thrives on building accountable teams, simplifying complex systems, and driving continuous improvement.

Own the DevOps roadmap, priorities, and delivery commitments across all environments, establishing clear accountability for infrastructure strategy and operational performance.

Lead, mentor, and develop the DevOps team, overseeing recruitment, role definition, interviewing, onboarding, performance management, and long-term team growth.

Establish and maintain operational standards for change management, release management, environment promotion, incident response, postmortems, on-call coverage, technical documentation, and runbooks.

Modernize legacy and undocumented infrastructure by introducing version control, Infrastructure as Code (IaC), standardized documentation, and sustainable infrastructure management practices.

Develop and maintain disaster recovery and business continuity strategies, defining and validating recovery time objectives (RTOs) and recovery point objectives (RPOs) for critical systems.

Introduce disciplined planning and execution practices, including sprint planning, estimation, resource allocation, and measurable delivery commitments.

Define and implement a comprehensive observability strategy across environments, covering centralized monitoring, logging, alerting, application performance monitoring (APM), and associated tooling.

Lead cloud cost optimization initiatives through resource right-sizing, committed-use discounts or reservations, and the reduction of unnecessary logging, storage, and infrastructure expenses.

Strengthen security and compliance practices in collaboration with security teams, including least-privilege access, periodic access reviews, key rotation, certificate automation, and vulnerability remediation.

Remain actively involved in engineering by building and reviewing CI/CD pipelines, Infrastructure as Code, Kubernetes workloads, and other core infrastructure components.

Partner with Data Engineering to maintain the infrastructure and tooling supporting data pipelines, including Snowflake account and warehouse administration, Airflow orchestration infrastructure, and secrets and connection management.

Coordinate with the architecture leadership team on cloud infrastructure, Kubernetes, CI/CD platforms, and other technical decisions to ensure alignment with broader architectural standards.

Participate in the on-call rotation, particularly during the initial period, to maintain close operational involvement and establish high standards for incident response.

Collaborate with software engineering, data engineering, AI, and platform teams to deliver consistent environments and enable fast, secure, and reliable software releases.

Evaluate emerging technologies and engineering practices, making informed decisions about which solutions to build, purchase, or adopt.

Promote a culture of automation, accountability, continuous learning, and operational excellence across the DevOps function and the wider engineering organization.

Requirements

~2 min read

At least 10 years of professional experience in DevOps, cloud engineering, infrastructure engineering, or a related field, with progressively increasing responsibility.

At least three years of experience leading or managing engineers, including hiring, coaching, performance management, and team development.

Proven ability to establish and implement effective operational processes, including change and release management, incident response, sprint planning, estimation, and documentation standards.

Demonstrated experience bringing legacy or undocumented infrastructure under management, introducing Infrastructure as Code, and implementing disaster recovery practices.

Strong hands-on experience with CI/CD platforms such as Azure DevOps, GitHub, Jenkins, or comparable tools.

Proficiency in Infrastructure as Code and configuration management technologies, including Terraform, Ansible, and Helm.

Practical experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

Deep expertise in Google Cloud Platform (GCP); experience with AWS and Microsoft Azure is an advantage.

Experience designing and implementing observability strategies across multiple environments, including monitoring, logging, alerting, and application performance monitoring.

Demonstrated ability to manage cloud expenditure through resource optimization, committed-use or reservation strategies, and effective cost governance.

Strong understanding of cloud security, infrastructure reliability, access management, vulnerability remediation, and operational risk reduction.

Excellent communication and interpersonal skills, with the ability to set expectations, influence engineering stakeholders, coordinate cross-functional initiatives, and present plans and results to executive leadership.

Strong organizational and prioritization skills, with sound judgment in balancing operational support, project delivery, and long-term automation and modernization initiatives.

Experience building or managing distributed teams, including offshore engineering teams, is preferred.

Familiarity with infrastructure consolidation following acquisitions, security automation, compliance frameworks, policy-as-code, data pipeline CI/CD, or AI/MLOps practices is beneficial.

Ability to work effectively in a remote environment, fostering collaboration, accountability, and consistent engineering standards across distributed teams.

Candidates must already meet applicable U.S. work authorization requirements, as visa sponsorship is not available for this position.

What We Offer

~2 min read

Remote work: Opportunity to work remotely from within the United States.

Leadership and career development: Opportunity to shape DevOps strategy, develop engineering talent, and influence platform-wide technical decisions.

Technical ownership: Hands-on involvement in cloud architecture, infrastructure automation, security, observability, and operational excellence initiatives.

Cross-functional collaboration: Work closely with software engineering, data engineering, AI, platform, and security teams.

Professional growth: Opportunities to evaluate emerging technologies, modernize infrastructure, and establish scalable engineering practices.

Cloud and automation innovation: Exposure to modern cloud infrastructure, Kubernetes, CI/CD, Infrastructure as Code, Snowflake, Airflow, and AI/MLOps-related practices.

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?

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.

#LI-CL1

✓Remote work: Opportunity to work remotely from within the United States.

✓Leadership and career development: Opportunity to shape DevOps strategy, develop engineering talent, and influence platform-wide technical decisions.

✓Technical ownership: Hands-on involvement in cloud architecture, infrastructure automation, security, observability, and operational excellence initiatives.

✓Cross-functional collaboration: Work closely with software engineering, data engineering, AI, platform, and security teams.

✓Professional growth: Opportunities to evaluate emerging technologies, modernize infrastructure, and establish scalable engineering practices.

✓Cloud and automation innovation: Exposure to modern cloud infrastructure, Kubernetes, CI/CD, Infrastructure as Code, Snowflake, Airflow, and AI/MLOps-related practices.