Careers at Verve

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.

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 . What You Will Do Provide full supervision and support for the local data engineering pod, spanning both data-platform and analytics/reporting work streams. Manage team capacity, lead hiring to backfill and grow the pod, and define team charters that support a fast-evolving data platform roadmap. Foster a high-performance culture across a distributed organization (Bangalore and EU), onboarding recent hires and establishing strong operational discipline (on-call/IRM, runbooks, incident response). Plan and execute multi-quarter initiatives with many interdependencies (e.g., the data lakehouse re-architecture (Apache Flink on GKE), the dedicated CTV late-impression pipeline, and CI/CD automation (ArgoCD)) ensuring alignment with architectural standards. Refine the team's engineering processes, methodologies, and technical standards: code quality, infrastructure-as-code, deployment automation, observability, and cost optimization. Partner closely with Product Management, Backend Engineering, Data Science, and Analytics to align the platform roadmap with business objectives. Stay active in technical implementation (estimated 50-70% hands-on): designing pipelines, delivering new product features, reviewing architecture and code, addressing tech debts, and troubleshooting production data issues. Undertake production responsibilities including setting up monitoring and alerts, oncall support, troubleshooting, incident management and communication, and postmortem. Independently design maintainable and scalable data systems for complex, high-throughput streaming and batch pipelines. Be aware and manage the infrastructure cost of data systems. What You Will Bring Minimum of 8 years of experience in Data Engineering, with a focus on leadership in technical settings. AdTech industry expertise (specifically programmatic auctions and high-volume bid/impression/RTB data) is strongly preferred. Expert knowledge of Python and SQL. Deep, hands-on experience with distributed data processing and streaming: Apache Spark / Spark Streaming and Apache Flink. Strong experience operating high-throughput event streaming and messaging with Apache Kafka. Proficiency with the Google Cloud data stack (BigQuery, GKE, GCS, Dataflow/Vertex AI) and infrastructure-as-code (Terraform). Experience building and operating CI/CD for data pipelines (e.g., ArgoCD, containerized/Docker deployments). Working knowledge of lakehouse and open table formats (e.g., Iceberg/Delta) and the trade-offs between real-time and batch architectures (latency, cost, governance). Familiarity with analytics/OLAP and BI tooling (e.g., Druid, Looker, Rill/Turnilo) and dimensional data modeling. 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.

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 . What You Will Do Lead the technical design, architecture, and implementation of complex, high-throughput components for the core ad exchange platform. Write exceptionally optimized, highly concurrent code (Go or Java), taking ownership of system performance where every millisecond counts. Act as a technical pillar for the Dublin team: mentor mid-level/junior engineers, elevate code quality through PR reviews, and set engineering standards. Take end-to-end ownership of critical services-from initial system design and agentic-assisted coding workflows, through to CI/CD deployment and production monitoring. Partner closely with the Engineering Manager and product stakeholders to translate high-level business requirements into scalable, robust technical architecture. Drive operational excellence by proactively identifying bottlenecks, optimizing infrastructure footprint, and leading complex incident resolutions. What You Will Bring 5+ years of hands-on software engineering experience, with a strong focus on distributed backend systems. Deep expertise in system-level or strongly typed languages (Go or Java), with advanced knowledge of concurrency, memory management, and performance profiling. Proven track record of architecting and scaling high-throughput, low-latency applications. Extensive hands-on experience with Cloud Computing platforms (GCP, AWS) and container orchestration at scale (Kubernetes, Docker). Solid understanding of CI/CD pipelines (GitHub Actions, ArgoCD), IaC (Terraform), and modern observability stacks (Grafana, ELK). Practical experience using and advocating for agentic-assisted development tools (Claude Code, OpenAI Codex) to increase team velocity. Bonus : Deep domain experience in Ad-Tech, FinTech, High-Frequency Trading, or other environments handling tens of thousands of requests per second. What We Offer Stay healthy and covered with our comprehensive Health, Life, and Income Protection Insurances Save on everyday travels with our TaxSaver Commuter tickets Recharge with 23 paid vacation days + 3 Wellness days throughout the year, in addition to the public holidays Support your mental well-being with our Workplace Mental Health Solution Boost your professional knowledge with our annual training budget & internal webinars … 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.

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 . Data Engineering Manager (Dublin) 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. You will provide the organizational leadership, team-building vision, and operational drive to establish and expand our new European engineering hub in Dublin. In line with Verve’s site-centric location strategy, we build teams from the ground up by placing elite technical leaders on the floor first and empowering them to scale out high-performance engineering blocks. In this role, you will take full people-management and strategic delivery ownership over our global Mobile SDK chapter—which includes established engineering pods across Hamburg and Bangalore, while aggressively hiring to build and expand your local footprint in Dublin. Responsibilities Provide full supervision and support for the local data engineering pod, spanning both data-platform and analytics/reporting work streams. Manage team capacity, lead hiring to backfill and grow the pod, and define team charters that support a fast-evolving data platform roadmap. Foster a high-performance culture across a distributed organization (Bangalore and EU), onboarding recent hires and establishing strong operational discipline (on-call/IRM, runbooks, incident response). Plan and execute multi-quarter initiatives with many interdependencies (e.g., the data lakehouse re-architecture (Apache Flink on GKE), the dedicated CTV late-impression pipeline, and CI/CD automation (ArgoCD)) ensuring alignment with architectural standards. Refine the team's engineering processes, methodologies, and technical standards: code quality, infrastructure-as-code, deployment automation, observability, and cost optimization. Partner closely with Product Management, Backend Engineering, Data Science, and Analytics to align the platform roadmap with business objectives. Stay active in technical implementation (estimated 50-70% hands-on): designing pipelines, delivering new product features, reviewing architecture and code, addressing tech debts, and troubleshooting production data issues. Undertake production responsibilities including setting up monitoring and alerts, oncall support, troubleshooting, incident management and communication, and postmortem. Independently design maintainable and scalable data systems for complex, high-throughput streaming and batch pipelines. Be aware and manage the infrastructure cost of data systems. Required Skills Minimum of 8 years of experience in Data Engineering, with a focus on leadership in technical settings. AdTech industry expertise (specifically programmatic auctions and high-volume bid/impression/RTB data) is strongly preferred. Expert knowledge of Python and SQL. Deep, hands-on experience with distributed data processing and streaming: Apache Spark / Spark Streaming and Apache Flink. Strong experience operating high-throughput event streaming and messaging with Apache Kafka. Proficiency with the Google Cloud data stack (BigQuery, GKE, GCS, Dataflow/Vertex AI) and infrastructure-as-code (Terraform). Experience building and operating CI/CD for data pipelines (e.g., ArgoCD, containerized/Docker deployments). Working knowledge of lakehouse and open table formats (e.g., Iceberg/Delta) and the trade-offs between real-time and batch architectures (latency, cost, governance). Familiarity with analytics/OLAP and BI tooling (e.g., Druid, Looker, Rill/Turnilo) and dimensional data modeling. 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.

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 . Sr Data Scientist (IC4) - Yield Optimization Responsibilities Lead the design and development of large-scale, complex data science systems and models. Drive technical excellence across the Yield Optimization portfolio, including Demand Shaping, Floor Optimization, and Bid Optimization. Identify and champion new technologies or methodologies to maintain Verve's competitive edge in yield optimization. Plan and execute large-scale initiatives with significant impact, managing multiple interdependencies and cross-team collaborations. Resolve highly complex technical problems independently, often designing custom solutions. Design maintainable, scalable, and efficient systems for large-scale data processing and real-time model serving. Evaluate architectural trade-offs based on long-term business needs and technical debt considerations. Act as a technical leader and mentor to other data scientists and engineers across distributed teams. Refine team problem-solving tools, methodologies, and technical documentation to uplift the overall team competency. Partner closely with Product Management and Backend Engineering to align long-term technical roadmaps with business strategy. Maintain a high level of hands-on contribution, developing critical model components, conducting advanced statistical analysis, and designing robust A/B tests. Required Skills Minimum of 5 years of experience in Data Science or Machine Learning, with a proven track record of delivering high-impact projects. Extensive AdTech industry expertise, with deep knowledge of programmatic auctions, supply/demand matching, and real-time bidding optimization. Master-level proficiency in Python and SQL . Deep expertise in ML frameworks ( TensorFlow , PyTorch , or Scikit-learn ) and their application at scale. Strong experience with Big Data and Cloud infrastructure ( PySpark , Google Cloud Vertex AI , or equivalent). Proven ability to design and oversee the implementation of large-scale distributed systems and real-time ML pipelines. Exceptional communication skills with the ability to influence technical and non-technical stakeholders across the organization. Ability to navigate and align multiple teams around long-term technical visions and architectural standards. Advanced degree (Master's or PhD preferred) in a quantitative field (Applied Mathematics, Statistics, Computer Science, or Physics). 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.

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 . Sr Data Scientist (IC4) - Yield Optimization Responsibilities Lead the design and development of large-scale, complex data science systems and models. Drive technical excellence across the Yield Optimization portfolio, including Demand Shaping, Floor Optimization, and Bid Optimization. Identify and champion new technologies or methodologies to maintain Verve's competitive edge in yield optimization. Plan and execute large-scale initiatives with significant impact, managing multiple interdependencies and cross-team collaborations. Resolve highly complex technical problems independently, often designing custom solutions. Design maintainable, scalable, and efficient systems for large-scale data processing and real-time model serving. Evaluate architectural trade-offs based on long-term business needs and technical debt considerations. Act as a technical leader and mentor to other data scientists and engineers across distributed teams. Refine team problem-solving tools, methodologies, and technical documentation to uplift the overall team competency. Partner closely with Product Management and Backend Engineering to align long-term technical roadmaps with business strategy. Maintain a high level of hands-on contribution, developing critical model components, conducting advanced statistical analysis, and designing robust A/B tests. Required Skills Minimum of 5 years of experience in Data Science or Machine Learning, with a proven track record of delivering high-impact projects. Extensive AdTech industry expertise, with deep knowledge of programmatic auctions, supply/demand matching, and real-time bidding optimization. Master-level proficiency in Python and SQL . Deep expertise in ML frameworks ( TensorFlow , PyTorch , or Scikit-learn ) and their application at scale. Strong experience with Big Data and Cloud infrastructure ( PySpark , Google Cloud Vertex AI , or equivalent). Proven ability to design and oversee the implementation of large-scale distributed systems and real-time ML pipelines. Exceptional communication skills with the ability to influence technical and non-technical stakeholders across the organization. Ability to navigate and align multiple teams around long-term technical visions and architectural standards. Advanced degree (Master's or PhD preferred) in a quantitative field (Applied Mathematics, Statistics, Computer Science, or Physics). 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.