Zeta Global Logo

Zeta Global

Staff Backend Engineer

Posted 3 Days Ago
Be an Early Applicant
Easy Apply
Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Senior level
Easy Apply
Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Senior level
Design, build, and operate low-latency, high-throughput real-time bidding (DSP) systems. Implement auction, eligibility, pacing/budgeting, and ML scoring integrations while optimizing p99 latency, ensuring reliability/observability, defining SLOs, and mentoring engineers at staff scope.
The summary above was generated by AI

We’re looking for a Senior / Staff DSP Engineer to build and evolve Zeta’s real-time bidding and decisioning systems. This is a hands-on role focused on designing and operating low-latency, high-throughput services that process bid requests, score opportunities, apply pacing and budget constraints, and produce bids within strict SLAs.
You’ll work closely with platform, data, and ML teams to integrate retrieval and scoring systems into the bidder while keeping the hot path fast, safe, and observable. This role is ideal for engineers who love distributed systems, performance engineering, and building production-grade systems at extreme scale.

What You’ll Do

  • Real-Time Bidding Systems: Design and build core DSP bidder components that handle high-QPS bid request ingestion, filtering, enrichment, decisioning, and bid response generation within strict time budgets.
  • Auction & Eligibility Logic: Implement auction logic, campaign/line-item eligibility, targeting constraints, frequency controls, supply quality checks, and policy enforcement.
  • Low-Latency Engineering: Optimize p99 latency and tail behavior using timeouts, backpressure, concurrency control, efficient serialization, caching strategies, and careful memory/GC management.
  • Pacing & Budgeting: Build and extend pacing and budget management logic (spend controls, throttling, goal-based pacing, safety constraints) and integrate with control-plane services (campaign config, feature flags, budgets).
  • Scoring & ML Integration: Integrate real-time model scoring and feature retrieval systems with production guardrails (shadow mode, A/B tests, canaries, circuit breakers, fallbacks).
  • Reliability & Operations: Define SLOs and observability (metrics, tracing, structured logging), participate in on-call, and drive post-incident improvements.
  • AWS at Scale: Build and operate services on AWS (compute, networking, autoscaling, streaming, data stores) and partner on cost/performance optimization.

Engineering Leadership (Staff scope): For staff-level candidates, drive technical direction for parts of the bidder stack (interfaces, service boundaries, performance budgets) and mentor engineers through design/code reviews and best practices.

Senior: 5+ years of software engineering (with substantial backend/distributed systems work). Staff: 8+ years with demonstrated ownership of large-scale, production systems.

  • Proven experience building low-latency, high-QPS services (real-time decisioning, trading, ad serving, marketplaces, or similar).
  • Strong proficiency in Java and/or Go for performance-oriented backend development.
  • Solid understanding of distributed systems fundamentals: consistency trade-offs, caching, failure modes, retries/timeouts, backpressure, load shedding.
  • Experience operating production services on AWS and making practical cost/performance trade-offs.
  • Experience with data stores and patterns used in real-time systems (e.g., Redis/Memcached, DynamoDB/Cassandra, Kafka/Kinesis).
  • Strong debugging skills across services: profiling, tracing, heap/GC analysis, latency investigations.
  • Clear communicator and collaborator; able to work effectively with engineering, product, and ML partners.
  • Clear communicator and collaborator; able to explain complex systems to mixed audiences.
  • Hands-on DSP / RTB experience: OpenRTB, exchanges, SSP integrations, seats/accounts, bid request/response handling.
  • Experience with pacing/budgeting systems, bid shading, dynamic floors, and supply quality/brand-safety gating.
  • Experience integrating ML ranking/scoring in real time (feature retrieval, embeddings, model serving, inference optimization).
  • Experience building privacy-aware systems (consent/identity signals, PII-safe logging, governance controls).
  • Experience operating extremely high-scale systems (10^5–10^6+ QPS), multi-region design, or hybrid/colocation architectures.
  • Kubernetes/service mesh familiarity and/or deep Linux networking/performance knowledge (eBPF is a plus).

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

Top Skills

Java,Go,Aws,Redis,Memcached,Dynamodb,Cassandra,Kafka,Kinesis,Kubernetes,Service Mesh,Ebpf,Openrtb,Ssp

Similar Jobs at Zeta Global

9 Days Ago
Easy Apply
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
Easy Apply
Senior level
Senior level
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
As a Staff Backend Engineer, you'll design, build, and optimize backend systems for a low-latency ad platform. Responsibilities include developing microservices, streaming data infrastructure, and ensuring system performance and reliability while collaborating with cross-functional teams and mentoring junior engineers.
Top Skills: Apache KafkaAWSDockerElk StackGoGrafanaJavaKubernetesNoSQLPrometheusPythonSQL
3 Days Ago
Easy Apply
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
Easy Apply
Senior level
Senior level
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
Design, build, and operate high-scale batch and streaming data pipelines, aggregates, and dimensional models. Ensure data quality, observability, and performance; optimize costs; implement orchestration/CI-CD; and partner with backend, ML, and product teams to deliver analytics-ready datasets for prediction, BI, and measurement.
Top Skills: Kafka,Kinesis,Sql,Python,Java,Scala,Go,Spark,Flink,Aws S3,Aws Glue,Emr,Athena,Redshift,Parquet,Iceberg,Hudi,Delta,Airflow,Dagster,Step Functions,Ci/Cd,Postgres,Mysql,Dynamodb,Cassandra,Redis,Druid,Clickhouse,Pinot
3 Days Ago
Easy Apply
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
Easy Apply
Senior level
Senior level
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
Build and deploy production-grade ML/LLM solutions for ad targeting, ranking, pacing, personalization, and creative intelligence. Design low-latency ML lifecycles, operate services at scale, integrate agentic LLM workflows, optimize inference, monitor model performance, and mentor engineers.
Top Skills: Java,Go,Python,Pytorch,Tensorflow,Spark,Kafka,Aws,Postgresql,Mysql,Cassandra,Dynamodb,Redis,Docker,Kubernetes,Ci/Cd,Apache Iceberg,Apache Hudi,Llms,Embeddings,Dsp,Ssp,Rtb

What you need to know about the Pune Tech Scene

Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account