Senior SRE/DevOps Engineer

AI in this role

Who We Are

Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers–no matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at verve.com.

Senior SRE/Devops Engineer

Who We Are

Verve Group has created a more efficient and privacy-focused way to buy and monetize advertising. Verve Group is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers–no matter the screen or location, no matter who, what, or where a customer is. With 13 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve Group’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at www.verve.com.

About This Job

Verve's Systems Engineering team keeps a high-throughput, real-time ad-serving platform fast and available, running on GCP and Kubernetes (GKE) and serving traffic around the clock. We're looking for an engineer who treats reliability as a software problem, measuring it, engineering for it, and automating away whatever gets in the way. The role combines hands-on ownership of production systems with building tools and services that other engineers rely on every day. You'll define what "reliable" means for our services, build the observability to prove it, and write the code that keeps systems healthy at scale. When something is manual, fragile, or slow, you're the person who writes the code to fix it. You'll have real ownership: shaping how our platform evolves, making architectural calls on reliability and scalability, and working closely with backend and data teams to design services that hold up under real-world load.
What You'll Do

Define, measure, and uphold SLOs and error budgets for critical services, and use them to guide engineering priorities
Design and operate highly available, fault-tolerant infrastructure on GCP and Kubernetes for high-throughput, latency-sensitive workloads
Build observability across metrics, logs, tracing, and alerting that surfaces real user impact and cuts noise
Lead incident response, run blameless postmortems, and drive the fixes that stop problems from recurring
Reduce toil by writing tools, services, and automation (in Go, Python, or similar) that replace manual operational work
Own capacity planning, performance tuning, and cost efficiency as traffic grows
Partner with product, backend, and data teams on production readiness, resilient architecture, and safe release practices (progressive rollouts, automated rollback)
Participate in on-call and continuously improve its sustainability

What You Will Bring

Hands-on experience keeping large-scale, cloud-native production systems reliable
Strong experience with Google Cloud Platform and Kubernetes (GKE) in production, including how they behave under load and how they fail
Practical experience with SLIs, SLOs, error budgets, and incident management
Solid software development skills in Go / Python / Rust, or similar, with good coding practices (testing, code review, maintainability) and a track record of shipping tools or services others depend on
Infrastructure-as-code experience with Terraform and cloud APIs
Experience with observability tooling such as Grafana, VictoriaLogs, and PagerDuty
Experience with CI/CD and GitOps tooling such as Argo CD and GitHub Actions
Experience operating databases in production
Good understanding of networking, event messaging, and distributed systems failure modes
Strong troubleshooting skills across the stack, from Linux and networking up to application behavior
Full business proficiency in English
Bachelor's degree in Computer Science or equivalent practical experience

What We Offer

Just a few of the benefits waiting for you at Verve:

Keep healthy through our Apollo Health Check-ups, and stay covered with our Medical Insurance for you and your family
Pick what matters most to you in our INR 4100/month Personalized Benefits Platform: Travel, entertainment, food, fitness, and healthcare
Have us cover your office lunches 3 times a week through Zomato, and enjoy office sweets, snacks, and beverages
Boost your professional knowledge with our annual training budget & internal webinars, and level up your language skills through our German/English classes
Recharge with 19 paid vacation days + 3 Wellness days throughout the year, in addition to the public holidays
Strengthen team connections while exploring new cultures through our monthly Work&Travel raffle, offering a chance to work from one of our global offices (after 2 years of employment)
… and even more reasons to join us!

Verve provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

If you are a California resident subject to the California Consumer Privacy Act, click here to understand how Verve processes your personal information and how you can exercise your rights.
If you are located in the EU or UK visit our privacy policy to understand how Verve processes your personal information and how you can exercise your rights.

How we rate this

Senior SRE/DevOps Engineer at Verve Group rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.