Job description

LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners. Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements. As a Senior DevOps Engineer, you will join a platform-focused team that builds and operates the infrastructure foundations for LiveRamp’s global data collaboration platform. The team owns shared compute, networking, storage, and Kubernetes-based orchestration layers, along with the CI/CD and observability platforms used by product engineering teams. Together, you will solve complex problems in scalability, multi-cloud and hybrid environments, cost optimization, and reliability for large-scale data and streaming workloads. Your team will partner with service owners across the company to provide paved roads for building, deploying, and running services—abstracting away infrastructure complexity while preserving flexibility where it matters. You will collaborate closely with Security, SRE, and Architecture groups to define standards, evolve our platform roadmap, and execute cross-cutting initiatives such as major migrations, resilience programs, and compliance-driven changes. You will: Lead the design, implementation, and operation of highly available, scalable, and secure infrastructure that powers LiveRamp’s core platform and data collaboration products. Enable AI Powered development for Engineering to accelerate engineering velocity by integrating AI assistants, Agentic frameworks, and Large Language Models (LLMs) into the Software Development Life Cycle (SDLC). Own critical production services end to end, including capacity planning, performance tuning, observability, reliability, and incident response, with clear SLOs and error budgets. Architect and evolve CI/CD pipelines, deployment strategies, and release automation to enable fast, safe, and repeatable delivery across dozens of microservices. Drive our infrastructure-as-code strategy (e.g., Terraform, Helm, Kubernetes manifests) to ensure all environments are reproducible, auditable, and easy to change. Partner closely with product engineering teams as a technical leader and advisor, helping them design resilient services, optimize resource usage, and adopt DevOps best practices. Lead and participate in on-call rotations, improve incident management processes, and implement preventive measures that reduce MTTR and the frequency of high-severity incidents. Champion security-by-design in our stack, collaborating with security and compliance teams to harden systems, manage secrets, and maintain audit-ready infrastructure. Evaluate, introduce, and standardize tooling across logging, metrics, tracing, configuration management, and workflow orchestration to improve developer and operator productivity. Mentor and grow other engineers through design reviews, pairing, technical talks, and thoughtful feedback, raising the bar for DevOps and reliability practices across the org. Define and track success metrics for reliability, performance, cost efficiency, and operational excellence, and use data to prioritize and communicate tradeoffs and investments. About you: 5 years of experience in DevOps, Site Reliability Engineering, Infrastructure Engineering, or a closely related role, with significant time spent operating production systems at scale. Hands-on experience with at least one major cloud provider (e.g., AWS, GCP, or Azure) and with building secure, reliable, and cost-conscious cloud-native architectures. Strong expertise with containers and orchestration (e.g., Docker, Kubernetes), including designing multi-tenant clusters, managing deployments, and troubleshooting complex runtime issues. Proven track record implementing and maintaining CI/CD pipelines and release automation (e.g., using GitHub Actions, Jenkins, GitLab CI, or similar systems). Proficiency with infrastructure-as-code tools (such as Terraform, CloudFormation, Helm, or similar) and configuration management (e.g., Ansible, Chef, or Puppet). Experience building and operating robust observability stacks (metrics, logs, traces) and using them to diagnose and remediate production issues. Strong programming or scripting skills in at least one language commonly used for DevOps (such as Python, Go, Ruby, or Bash) and comfort with Linux systems internals and debugging. Demonstrated ability to drive complex technical initiatives across teams, influence architectural decisions, and communicate tradeoffs clearly to both technical and non-technical stakeholders. Experience participating in or leading incident response, post-incident reviews, and reliability programs that improve system resilience over time. Excellent collaboration and communication skills, and an interest in mentoring and leveling up other engineers in DevOps and reliability practices. Bachelor’s degree in Computer Science, Engineering, or a related technical field. Preferred Skills (bonus points): Terraform, GCP/AWS/Azure, CI/CD (Jenkins, ArgoCD, Spinnaker or similar) Experience with developing and deploying AI agents The approximate annual base compensation range is $130,000 to $196,500. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant s experience, knowledge, skills, and abilities, geography, as well as internal equity among our team. #LI-DK1 Benefits: People: Work with talented, collaborative, and friendly people who love what they do. Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues. Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave. Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives. Our benefits package offers medical, dental, vision, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth and more. Savings: Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead. More about us: LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp. LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person s race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance. We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates. California residents : Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process. To all recruitment agencies : LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.

Requirements

Must-haves

Lead the design, implementation, and operation of highly available, scalable, and secure infrastructure that powers LiveRamp’s core platform and data collaboration products.
Enable AI Powered development for Engineering to accelerate engineering velocity by integrating AI assistants, Agentic frameworks, and Large Language Models (LLMs) into the Software Development Life Cycle (SDLC).
Own critical production services end to end, including capacity planning, performance tuning, observability, reliability, and incident response, with clear SLOs and error budgets.
Architect and evolve CI/CD pipelines, deployment strategies, and release automation to enable fast, safe, and repeatable delivery across dozens of microservices.
Drive our infrastructure-as-code strategy (e.g., Terraform, Helm, Kubernetes manifests) to ensure all environments are reproducible, auditable, and easy to change.
Partner closely with product engineering teams as a technical leader and advisor, helping them design resilient services, optimize resource usage, and adopt DevOps best practices.
Lead and participate in on-call rotations, improve incident management processes, and implement preventive measures that reduce MTTR and the frequency of high-severity incidents.
Champion security-by-design in our stack, collaborating with security and compliance teams to harden systems, manage secrets, and maintain audit-ready infrastructure.
Evaluate, introduce, and standardize tooling across logging, metrics, tracing, configuration management, and workflow orchestration to improve developer and operator productivity.
Mentor and grow other engineers through design reviews, pairing, technical talks, and thoughtful feedback, raising the bar for DevOps and reliability practices across the org.
Define and track success metrics for reliability, performance, cost efficiency, and operational excellence, and use data to prioritize and communicate tradeoffs and investments.
5 years of experience in DevOps, Site Reliability Engineering, Infrastructure Engineering, or a closely related role, with significant time spent operating production systems at scale.
Hands-on experience with at least one major cloud provider (e.g., AWS, GCP, or Azure) and with building secure, reliable, and cost-conscious cloud-native architectures.
Strong expertise with containers and orchestration (e.g., Docker, Kubernetes), including designing multi-tenant clusters, managing deployments, and troubleshooting complex runtime issues.
Proven track record implementing and maintaining CI/CD pipelines and release automation (e.g., using GitHub Actions, Jenkins, GitLab CI, or similar systems).
Proficiency with infrastructure-as-code tools (such as Terraform, CloudFormation, Helm, or similar) and configuration management (e.g., Ansible, Chef, or Puppet).
Experience building and operating robust observability stacks (metrics, logs, traces) and using them to diagnose and remediate production issues.
Strong programming or scripting skills in at least one language commonly used for DevOps (such as Python, Go, Ruby, or Bash) and comfort with Linux systems internals and debugging.
Demonstrated ability to drive complex technical initiatives across teams, influence architectural decisions, and communicate tradeoffs clearly to both technical and non-technical stakeholders.
Experience participating in or leading incident response, post-incident reviews, and reliability programs that improve system resilience over time.
Excellent collaboration and communication skills, and an interest in mentoring and leveling up other engineers in DevOps and reliability practices.
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
Terraform, GCP/AWS/Azure, CI/CD (Jenkins, ArgoCD, Spinnaker or similar)
Experience with developing and deploying AI agents

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesci/cdaiawsgcpazuredockerpythongo

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off

Parental Leave