Staff engineer i

About Us In Mobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. In Mobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand, engage, and acquire consumers effectively through data-driven media solutions. Learn more at advertising.inmobi.com . Glance is a consumer technology company that operates disruptive digital platforms, including Glance, Roposo, and Nostra. Glance’s smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at glance.com . Born in India, In Mobi maintains a large presence in Bangalore and San Mateo, CA, and has operations in New York, Singapore, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London, and Dubai. To learn more, visit inmobi.com . About In Mobi DSP In Mobi’s Demand Side Platform (DSP) is redefining programmatic advertising with AI at its core. In Mobi’s DSP empowers advertisers to reach and engage their audiences across the globe through programmatic buying at scale. Every day, we process billions of ad requests in milliseconds, applying advanced machine learning models for bidding, targeting, and personalization—while upholding the highest standards of privacy and compliance. Our AI-driven architecture continuously learns from massive streams of data to optimize campaigns in real time, enabling brands to engage audiences with unmatched precision and scale. As part of the DSP team, you’ll engineer systems where distributed computing meets largescale inference, and where every millisecond counts. Joining our DSP team means solving complex engineering challenges that shape the future of digital advertising—globally. 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 Micro Services -Prior experience of building high scale AI/ML enabled systems is a plus -Exposure to Large-scale model engineering and deployment ecosystem (Tensor Flow, Py Torch, Sagemaker)-Deep experience in Distributed Data Processing (Kafka), Streaming (Flink, Spark Streaming, Beam), Distributed Stores (Cassandra, Bigtable, Aerospike, Redis), Modern Analytics and Data Warehouse Systems (Click House, 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)