Manager, DevOps

<h3>Accountabilities:</h3><li>Own the DevOps roadmap, priorities, and delivery commitments across all environments, establishing clear accountability for infrastructure strategy and operational performance.</li><li>Lead, mentor, and develop the DevOps team, overseeing recruitment, role definition, interviewing, onboarding, performance management, and long-term team growth.</li><li>Establish and maintain operational standards for change management, release management, environment promotion, incident response, postmortems, on-call coverage, technical documentation, and runbooks.</li><li>Modernize legacy and undocumented infrastructure by introducing version control, Infrastructure as Code (IaC), standardized documentation, and sustainable infrastructure management practices.</li><li>Develop and maintain disaster recovery and business continuity strategies, defining and validating recovery time objectives (RTOs) and recovery point objectives (RPOs) for critical systems.</li><li>Introduce disciplined planning and execution practices, including sprint planning, estimation, resource allocation, and measurable delivery commitments.</li><li>Define and implement a comprehensive observability strategy across environments, covering centralized monitoring, logging, alerting, application performance monitoring (APM), and associated tooling.</li><li>Lead cloud cost optimization initiatives through resource right-sizing, committed-use discounts or reservations, and the reduction of unnecessary logging, storage, and infrastructure expenses.</li><li>Strengthen security and compliance practices in collaboration with security teams, including least-privilege access, periodic access reviews, key rotation, certificate automation, and vulnerability remediation.</li><li>Remain actively involved in engineering by building and reviewing CI/CD pipelines, Infrastructure as Code, Kubernetes workloads, and other core infrastructure components.</li><li>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.</li><li>Coordinate with the architecture leadership team on cloud infrastructure, Kubernetes, CI/CD platforms, and other technical decisions to ensure alignment with broader architectural standards.</li><li>Participate in the on-call rotation, particularly during the initial period, to maintain close operational involvement and establish high standards for incident response.</li><li>Collaborate with software engineering, data engineering, AI, and platform teams to deliver consistent environments and enable fast, secure, and reliable software releases.</li><li>Evaluate emerging technologies and engineering practices, making informed decisions about which solutions to build, purchase, or adopt.</li><li>Promote a culture of automation, accountability, continuous learning, and operational excellence across the DevOps function and the wider engineering organization.</li><h2>Requirements:</h2><li>At least 10 years of professional experience in DevOps, cloud engineering, infrastructure engineering, or a related field, with progressively increasing responsibility.</li><li>At least three years of experience leading or managing engineers, including hiring, coaching, performance management, and team development.</li><li>Proven ability to establish and implement effective operational processes, including change and release management, incident response, sprint planning, estimation, and documentation standards.</li><li>Demonstrated experience bringing legacy or undocumented infrastructure under management, introducing Infrastructure as Code, and implementing disaster recovery practices.</li><li>Strong hands-on experience with CI/CD platforms such as Azure DevOps, GitHub, Jenkins, or comparable tools.</li><li>Proficiency in Infrastructure as Code and configuration management technologies, including Terraform, Ansible, and Helm.</li><li>Practical experience with containerization and orchestration technologies, particularly Docker and Kubernetes.</li><li>Deep expertise in Google Cloud Platform (GCP); experience with AWS and Microsoft Azure is an advantage.</li><li>Experience designing and implementing observability strategies across multiple environments, including monitoring, logging, alerting, and application performance monitoring.</li><li>Demonstrated ability to manage cloud expenditure through resource optimization, committed-use or reservation strategies, and effective cost governance.</li><li>Strong understanding of cloud security, infrastructure reliability, access management, vulnerability remediation, and operational risk reduction.</li><li>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.</li><li>Strong organizational and prioritization skills, with sound judgment in balancing operational support, project delivery, and long-term automation and modernization initiatives.</li><li>Experience building or managing distributed teams, including offshore engineering teams, is preferred.</li><li>Familiarity with infrastructure consolidation following acquisitions, security automation, compliance frameworks, policy-as-code, data pipeline CI/CD, or AI/MLOps practices is beneficial.</li><li>Ability to work effectively in a remote environment, fostering collaboration, accountability, and consistent engineering standards across distributed teams.</li><li>Candidates must already meet applicable U.S. work authorization requirements, as visa sponsorship is not available for this position.</li><h2>Benefits:</h2><li>
<strong>Remote work:</strong>Opportunity to work remotely from within the United States.</li><li>
<strong>Leadership and career development:</strong>Opportunity to shape DevOps strategy, develop engineering talent, and influence platform-wide technical decisions.</li><li>
<strong>Technical ownership:</strong>Hands-on involvement in cloud architecture, infrastructure automation, security, observability, and operational excellence initiatives.</li><li>
<strong>Cross-functional collaboration:</strong>Work closely with software engineering, data engineering, AI, platform, and security teams.</li><li>
<strong>Professional growth:</strong>Opportunities to evaluate emerging technologies, modernize infrastructure, and establish scalable engineering practices.</li><li>
<strong>Cloud and automation innovation:</strong>Exposure to modern cloud infrastructure, Kubernetes, CI/CD, Infrastructure as Code, Snowflake, Airflow, and AI/MLOps-related practices.</li>