SDE III - Distributed Systems, Scalability - INR - 80 L to 100 L - 1 Year Contract

About the Role

We are seeking a Staff Engineer, to shape the future of our next-generation real-time,

machine-learning driven, privacy-first advertising platform, embedding machine learning

and generative AI capabilities into every layer — from ad targeting, bidding strategies,

attribution to fraud detection and prevention to creative optimization.

You will think AI-first — designing and delivering systems where AI is not an afterthought,

but the foundation.

You will be the technical north star for multiple teams, influencing architecture, driving

innovation, and solving some of the most complex problems in ad tech — from sub-100ms

auctions to millions of inferencing to evolving one of the biggest data stacks in the industry.

Our systems handle millions of requests per second, few hundred billions per day — and we

need You to lead the charge.

This role demands deep systems expertise and the ability to harness AI to deliver

measurable impact at internet scale.

What You’ll Do :

Strategic Technology Vision and AI-First System Design

Setting the multi-year technical roadmap balancing innovation, revenue goals, and

regulatory constraints.

Architect low-latency, high-QPS ad-serving systems with AI inference at their core.

Design pipelines that integrate ML model training, deployment, and continuous

learning.

Build features that leverage generative AI for creative optimization, fraud detection, and

personalization.

Partner with data scientists to translate model prototypes into scalable production

systems.

Scalability & Reliability

Lead designs for systems processing billions of events daily with sub-100ms

decisioning.

Optimize infrastructure for both cost efficiency and model serving performance.

Ensure fault tolerance and rapid recovery in global multi-region setups.

Technical Leadership

Lead architectural direction for our ad-serving, bidding, and targeting platforms handling

billions of requests daily.

Design and evolve low-latency, fault-tolerant, horizontally scalable systems.

Drive privacy-by-design in all engineering initiatives — ensuring compliance with

GDPR, CCPA, and ATT.

Review, guide, and influence high-impact technical decisions across multiple orgs.

Execution & Delivery

Own the end-to-end delivery of critical platform initiatives from concept to production.

Solve performance bottlenecks, optimize infra costs, and raise system reliability.

Champion best practices in software engineering, observability, and operational

excellence.

Influence Beyond Code

Mentor senior engineers and emerging tech leads, fostering deep technical growth.

Act as a trusted advisor to product managers, architects, and leadership.

Represent the engineering org in cross-functional initiatives and technical forums.

Drive adoption of AI tooling, observability, and automation across the org.

Privacy & Compliance by Design

Implement AI solutions within GDPR, CCPA, ATT constraints.

Embedding privacy-by-design principles into all data pipelines and ad targeting logic.

Cross-functional Leadership

Aligning engineers, data scientists, and product managers to execute on high-stakes

launches.

Talent Development

Mentoring budding engineering leaders, growing technical depth, and fostering

innovation culture.

Behavioral & Leadership Skills You Need To Succeed In This Role

Problem Solver. Incredible Problem Solving Ability

AI-first mindset — instinctively evaluate how AI can improve outcomes.

Think and operate at system-level scale — understand trade-offs and long-term impact.

High-Impact Delivery. Driving a mission-critical release under tight deadlines.

Financially Responsible Engineering. Reducing infra costs or latency significantly while

maintaining performance.

Balance technical excellence with business needs — know when to innovate vs. iterate.

Force multiplier — elevate teams by enabling better decisions, faster execution, and

shared technical context.

Excellent communication skills — can explain complex systems to executives and mentor

junior engineers alike.

Resilient under pressure, able to navigate ambiguity and drive clarity.

Influence Without Authority. Collaborative and influential — earns trust without relying on

authority.

Culture & Bar Raising. Championing technical standards that scales across the org.

Technical Skills You Need To Succeed In This Role

Polyglot. Expertise in high level programming languages preferably Java, Go, Python, or

C++

Demonstrated Experience in High Scale Cloud-native Architecture (GCP / AWS)

Deep Hands-on Experience in Kubernetes at internet scale, Service Mesh and MicroServices

Prior experience of building high scale AI / ML enabled systems is a plus

Exposure to Large-scale model engineering and deployment ecosystem (TensorFlow,

PyTorch, Sagemaker)

Deep experience in Distributed Data Processing (Kafka), Streaming (Flink, Spark

Streaming, Beam), Distributed Stores (Cassandra, Bigtable, Aerospike, Redis), Modern

Analytics and DataWarehouse Systems (ClickHouse, Pinot, Snowflake) and the Storage

Formats (Iceberg)

Experience in Real Time Bidding, programmatic advertising, or personalization systems

is preferred

Open-source contributions or a presence in developer communities is a plus.

Advocate and Champion of Software Engineering Practices (CI / CD, TTD)

Write to me at for more details