InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home dĂ©cor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobiâs global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Companyâs Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising, youâll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com Job Summary We're looking for a Senior Backend Software Development Engineer (SDE 3) with deep technical expertise in building and operating production systems at scale. You'll own entire components/services within microservices and data pipelines that handle ~200K queries per second and process petabytes of data daily. This role demands hands-on coding excellence, strong Low-Level Design (LLD) skills, and complete ownershipâfrom component architecture through infrastructure management to cost optimization. You'll architect solutions, lead technical decisions, and drive operational excellence while shipping code daily. Key Responsibilities:
Component Ownership: Own one or more critical components/services end-to-endâresponsible for architecture, development, deployment, operations, and evolution Technical Ownership: Own the entire lifecycle of your componentsâdesign, implementation, testing, deployment, monitoring, incident response, and continuous improvement Low-Level Design: Create detailed technical designs (LLD) for complex systemsâdefining data models, APIs, concurrency patterns, and failure modes Hands-on Development: Write production-grade code dailyâthis is not a purely architectural role; you'll be deep in the codebase Infrastructure Ownership: Own and operate the infrastructure your components run onâcapacity planning, scaling, reliability improvements Cost Management: Drive cost optimization for owned componentsâanalyze spending, identify waste, implement efficient architectures Scale & Performance: Build and optimize systems handling 200K+ QPS and petabyte-scale data processing Observability: Design and implement comprehensive monitoring, alerting, and debugging capabilities for owned components Incident Leadership: Lead incident response for your components and related services, conduct post-mortems, drive systemic improvements On-Call Excellence: Participate in on-call rotations and ensure your components are operationally sound (runbooks, alerts, dashboards) Technical Roadmap: Define and drive the technical roadmap for your owned componentsâbalancing feature development, tech debt, and operational improvements Technical Mentorship: Guide junior and mid-level engineers on system design, code quality, and production best practices Cross-functional Collaboration: Work with product, infra, and other eng teams to define requirements and deliver solutions Agile Execution: Break down complex projects, deliver incrementally in daily cadence, iterate based on feedback
Required Qualifications:
Experience: 4-5+ years building and operating backend systems in production environments at scale Education: B.E./B.Tech in Computer Science or equivalent practical experience Component Ownership: Proven track record of owning significant components or services from inception to maturityâdemonstrable end-to-end ownership Low-Level Design (LLD): Proven ability to create detailed technical designsâdata structures, algorithms, API contracts, concurrency models, failure handling Programming Mastery: Expert-level proficiency in at least one modern language (Go, Python, Java, etc.) with track record of writing maintainable, performant production code Databases: Deep hands-on experience with SQL and NoSQL databasesâschema design, query optimization, indexing strategies, operational troubleshooting Microservices at Scale: Extensive experience building, deploying, and operating microservices handling high throughput and large data volumes Data Pipelines: Strong background designing and running data processing pipelines at scale (batch and/or streaming) Observability: Expert understanding of metrics, logging, tracing, and alertingâyou know how to make systems debuggable Production Operations: Significant experience with incident response, on-call rotations, debugging live issues under pressure Infrastructure Knowledge: Hands-on experience managing infrastructure, understanding resource utilization, capacity planning Cost Consciousness: Experience analyzing and optimizing infrastructure costs at scale Distributed Systems: Strong fundamentals in distributed systems, concurrency, consistency models, and failure scenarios Accountability: Track record of taking full ownershipâfrom design through deployment to ongoing operations and improvements
Preferred Qualifications:
Experience with cloud platforms (GCP, AWS, or Azure) including cost management tools Kubernetes and container orchestration at scale Infrastructure as Code (Terraform, Pulumi, etc.) Streaming data systems (Kafka, Pub/Sub, Kinesis, Flink, etc.) SRE principles and reliability engineering practices Experience with FinOps or infrastructure cost optimization Performance profiling and optimization (CPU, memory, I/O) Technical leadership experience including mentorship of teams and driving multi-component initiatives Open source contributions or recognized technical writing The InMobi Culture At InMobi, culture isnât a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values â thinking big, being passionate, showing accountability, and taking ownership with freedom â guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace. Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!