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About the Role PubMatic is looking for engineers who can design and implement next-generation highly scalable, and low-latency ad server features at a scale of 1 trillion+ requests per day in our AD Server. If you get excited building applications and architecture to handle 100's of billions of requests per day, managing millions of requests per second with a creative and fast-paced work environment, competitive pay, great incentives, the culture of teamwork, smart and friendly colleagues, and plenty of opportunity to grow in your career then you should consider applying for this position. What You'll Do Use best practices for software development and documentation, ensure designs meet requirements, and deliver high-quality work. Demonstrated ability to self-direct and work independently. Demonstrate work ownership and focus to deliver on time. Willing to go extra mile to achieve greater results. Work with teams to achieve desired goals. Demonstrate timely and excellent verbal and written communication skills. We'd Love for You to Have Four plus years of development experience in C/C++, Linux/UNIX environment. Good to have experience with GO language. Excellent understanding of Data Structures and Algorithms. Excellent problem-solving skills. Being able to use generative AI-based tools and IDE for getting work done. Understanding of different models at basic level. Prompt engineering basics. Knowledge of OS and system programming (multi-threading, multi-processing, memory management). Troubleshoot any issues with existing features, live on production. Ability to write clean, modular, and loosely coupled code. Ability to understand end-to-end product functionality. Ability to do software design for assigned tasks. Working knowledge of scripting Perl/Python/Shell. Working experience in databases, preferably MySQL. Work closely with senior engineers to develop the best technical design and approach for new product development. Excellent interpersonal, written, and verbal communication skills. Proficiency in AI-assisted coding, automation, prompt engineering, and an understanding of the strengths and limitations of LLM-generated code is a strong plus AI-Enabled Engineering Mindset We value engineers who actively leverage Generative AI tools and IDEs (e.g. GitHub Copilot, ChatGPT, Claude, Cursor, Windsurf etc.) to accelerate development, improve code quality, automate repetitive tasks, and enhance documentation and debugging workflows. Engineers who demonstrate AI-first thinking using these tools to drive faster experimentation, ideation, and technical execution will thrive in our high-scale, performance-critical environment. Qualifications: Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from well-known Institutes / Universities. Additional Information: Return to Office : PubMatic employees throughout the global have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits : Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more! Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

About the Role PubMatic is seeking Data Analytics-focused Senior / Software Engineers with expertise in building and optimizing AI agents, including strong skills in Hadoop, Spark, Scala, Kafka, Spark Streaming, and cloud-based solutions, with proficiency in programming languages such as Scala and Python. You will be responsible for developing advanced AI agents that enhance our data analytics capabilities, enabling our platform to handle complex information retrieval, contextual understanding, and adaptive interactions, ultimately improving our data-driven insights and analytical workflows. What You'll Do: Build, design, and implement our highly scalable, fault-tolerant big data platform to process terabytes of data and provide customers with in-depth analytics. Develop backend services using Java, REST APIs, JDBC, and AWS. Build and maintain Big Data pipelines using technologies like Spark, Hadoop, Kafka, and Snowflake. Architect and implement real-time data processing workflows and automation frameworks. Design and develop GenAI-powered agents for analytics, operations, and data enrichment use cases using frameworks like LangChain, LlamaIndex, or custom orchestration systems. Integrate LLMs (e.g., OpenAI, Claude, Mistral) into existing services for query understanding, summarization, and decision support. Manage end-to-end GenAI workflows including prompt engineering, fine-tuning, vector embeddings, and retrieval-augmented generation (RAG). Working closely with cross-functional teams on improving the availability and scalability of large data platforms and the functionality of PubMatic software. Participate in Agile/Scrum processes such as sprint planning, sprint retrospective, backlog grooming, user story management, and work item prioritization. Frequently discuss with product managers about the software features to include in the PubMatic Data Analytics platform. Support customer issues over email or JIRA (bug tracking system), provide updates, and patches to customers to fix the issues. Perform code and design reviews for code implemented by peers or as per the code review process. We'd Love for You to Have: 1-5 plus years of coding experience in Java and backend development. Solid computer science fundamentals, including data structure and algorithm design, and creation of architectural specifications. Expertise in developing the Implementation of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews. Hands-on experience with Big Data tools and systems like Scala Spark, Kafka, Hadoop, Snowflake. Proven expertise in building GenAI applications, including: LLM integration (OpenAI, Anthropic, Cohere, etc.) LangChain, or similar agent orchestration libraries Prompt engineering, embedding, and retrieval-based generation (RAG) Experience in developing and deploying scalable, production-grade AI or data systems. Ability to lead end-to-end feature development and debug distributed systems. Experience in developing and delivering large-scale big data pipelines, real-time systems & data warehouses would be preferred. Demonstrated ability to achieve stretch goals in a very innovative and fast-paced environment. Demonstrated ability to learn new technologies quickly and independently. Excellent verbal and written communication skills, especially in technical communications. Strong interpersonal skills and a desire to work collaboratively. Qualification: Should have a bachelor’s degree in engineering or an equivalent degree from a well-known institute/university. Additional Information: Return to Office : PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!. Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

About the Role PubMatic is looking for engineers who can design and implement highly scalable backend components and services for the OpenWrap Ad Server using Golang. If you get excited building applications and architecture to handle millions of requests per second with a creative and fast-paced work environment, competitive pay, great incentives, culture of teamwork, smart and friendly colleagues and plenty of opportunity to grow in your career then you should consider applying for this position. What You'll Do Design, develop, and maintain high-performance, scalable backend services using Golang in a Linux/UNIX environment. Use best practices for software development and documentation, assure designs meet requirements, and deliver high-quality work. Demonstrated ability to self-direct and work independently. Demonstrate work ownership and focus to do deliver on time. Be the owner of one or more functionality module and point of contact for it. Write clean, modular, and loosely coupled code while following best practices in software development. Participate in Agile development processes, including sprint planning, code reviews, and continuous improvement. Work with teams to achieve desired goals. Demonstrate timely and excellent verbal and written communication skills. Willing to go the extra-mile to achieve greater results. We'd Love for You to Have Four plus years of development experience in Go, Linux/UNIX environment. Good to have experience with JAVA language. Proficiency in the implementation of algorithms and the use of advanced data structures to solve problems in computing. A solid knowledge in the principles of computer science is desired. Good experience in building complex and scalable solutions. Ability to find optimal solutions and innovative ideas. Excellent problem-solving skills. Being able to use generative AI-based tools and IDE for getting work done. Understanding of different models at the basic level. Prompt engineering basics. Knowledge of OS and working experience on system programming (multi-threading, multi-processing, memory management). Troubleshoot any issues with existing features, live on production. Ability to write clean, modular and loosely coupled code. Ability to understand end-to-end product functionality. Working knowledge of scripting Perl/Python/Shell. Working experience in databases, preferably PostgreSQL. Excellent interpersonal, written, and verbal communication skills. AI-Enabled Engineering Mindset We value engineers who actively leverage Generative AI tools and IDEs (e.g. GitHub Copilot, ChatGPT, Claude, Cursor, Windsurf etc.) to accelerate development, improve code quality, automate repetitive tasks, and enhance documentation and debugging workflows. Engineers who demonstrate AI-first thinking using these tools to drive faster experimentation, ideation, and technical execution will thrive in our high-scale, performance-critical environment. Qualifications: Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from well-known Institutes / Universities. Additional Information: Return to Office : PubMatic employees throughout the global have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits : Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more! Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

About the Role We are seeking a highly skilled Senior Java API developer with experience in building high-performing, scalable, enterprise-grade backend systems in the digital advertising domain. In this role, you will design, develop, and optimize backend services powering Mobile Ad SDK systems and AI-driven products such as recommendation engines, monetization optimization platforms, and intelligent ad delivery systems. This role will be responsible for productionizing machine learning models, building high-performance APIs, and enabling intelligent decision systems at scale What You'll Do: Design and develop scalable, secure, and high-performance RESTful APIs using Java (Java 11+) and Spring Boot. Own end-to-end solution design, planning, execution, and release of backend features. Build and maintain backend services supporting AI-driven initiatives (recommendation systems, predictive analytics). Productionize and integrate ML models into backend systems, enabling real-time intelligent decisioning. Develop efficient data models and optimize database queries (MySQL/PostgreSQL) for performance and reliability. Ensure API security using OAuth2, JWT, and role-based access controls. Build for scale—design systems capable of handling high concurrency, large data volumes, and low-latency requirements. Implement observability best practices including logging, monitoring, tracing, and alerting. Participate in code reviews, design discussions, and technical decision-making to ensure engineering excellence. Collaborate cross-functionally with Analytics, Product, SDK, UI, Ad server, DevOps, and QA teams to deliver AI-powered features. Leverage generative AI tools and advanced prompt engineering techniques to enhance productivity and code quality. We’d Love for You to Have 3–6 years of experience in Java development in Linux/UNIX environments. Strong proficiency in Core Java, OOPS, Data Structures, and J2EE technologies. Hands-on experience with Spring, Spring Boot, and Hibernate. Strong experience in REST Web Services development and microservices architecture. Proficiency in SQL, schema design, indexing, performance tuning, and complex queries. Experience with Docker, Kubernetes, Jenkins, Maven, Git, and CI/CD pipelines. Experience working on high-performance and scalable AdTech systems (preferred). Working knowledge of Python and integration with AI/ML services. Understanding of advanced AI concepts including RAG, agentic AI, model fine-tuning, and recommendation systems. Experience in JUnit, TDD, refactoring, and Agile development practices. Demonstrated ability to work independently and drive technical ownership. Qualification: Should have a bachelor’s degree in engineering or an equivalent degree from a well-known institute/university. Additional Information: Return to Office : PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!. Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

About the Role We are seeking a Senior/Software Engineer with proven experience in building high-performing, scalable, enterprise-grade applications in the digital advertising domain. In this role, you will design, develop, and optimize backend systems that power large-scale ad delivery, targeting, and reporting. You will also have the opportunity to leverage AI and Generative AI technologies to create intelligent solutions that enhance ad generation, optimization, and personalization, driving measurable impact in digital advertising. What You'll Do: Ability to create and present design reviews independently, translating feature requirements into robust technical designs. End-to-end ownership of solution design, development, testing, planning, execution, and release for feature requirements. Experience and/or knowledge of Java 11 or higher. Proficiency in SQL and relational databases, including complex queries, performance optimization, schema design, indexing, and stored procedures. Strong knowledge of Data Structures and OOPS concepts. Hands-on experience with Core Java and J2EE technologies (Java, Spring, Spring Boot, Hibernate/MyBatis). Knowledge and practical experience with scripting languages, preferably Python. Strong understanding of CI/CD concepts, including pipeline creation, automation, integration, and deployment workflows. Hands-on experience with tools/technologies like Kubernetes, Jenkins, Maven, GIT, and Docker. Experience in REST Web Service development. Proficiency in using generative AI-based tools and IDEs to boost productivity and code quality. Detailed knowledge of different AI models and advanced prompt engineering techniques, with the ability to apply them effectively in software development Experience in JUnit and unit testing best practices. Experience working on high-performance and scalable systems (preferred). Familiarity with UI technologies such as HTML, JavaScript, and CSS. Familiarity with Test Driven Development (TDD), refactoring, code reviews, continuous integration/delivery, and Agile development practices. We'd Love for You to Have: 3–5 years of experience in Java and Linux/UNIX environments. Understanding of advanced AI concepts, including RAG, agentic AI, and model fine-tuning. Use best practices of Agile-based software development and documentation, ensure designs meet requirements, and deliver high-quality work. Demonstrated ability to be self-driven and work independently. Demonstrate work ownership and focus to deliver on time. Willing to go the extra mile to achieve greater results. Work with teams to achieve desired goals. Qualification: Should have a bachelor’s degree in engineering or an equivalent degree from a well-known institute/university. Additional Information: Return to Office : PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!. Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

About the Role We are looking for a passionate Data Engineer to join our Mobile Advertising Platform engineering team. In this role, you will build highly scalable data platforms powering Mobile Programmatic Advertising, RTB bidding systems, attribution, campaign optimization, fraud detection, and real-time analytics . You will design and implement distributed systems capable of processing billions of mobile advertising events every day, including ad requests, impressions, clicks, installs, conversions, in-app events, and auction logs . You'll leverage modern Big Data technologies, cloud platforms, and Generative AI to build intelligent analytics and automation solutions. You'll collaborate with Product Managers, ML Engineers, Data Scientists, and Backend Engineers to build next-generation Mobile AdTech products. What You'll Do: Design and build highly scalable data platforms capable of processing billions of mobile advertising events with low latency and high availability. Design and build ultra-low-latency, high-throughput data pipelines processing the full mobile event funnel — ad request → impression → click → install → in-app conversion event — including OpenRTB bid request/response logging, auction analytics, and win-rate/bid-landscape reporting across multiple SSPs and ad exchanges, using Kafka, Spark Streaming, Hadoop, and Snowflake on AWS. Architect real-time campaign pacing and budget delivery systems, applying bid optimization techniques so spend controls and bid strategy adjustments react to live auction signals within seconds. Architect and implement real-time streaming pipelines to ingest, process, and analyze billions of advertising events including impressions, clicks, installs, conversions, and in-app events. Design and optimize scalable ETL/ELT pipelines and data models supporting Mobile AdTech use cases such as campaign reporting, attribution, audience segmentation, fraud detection, and revenue analytics. Design large-scale Invalid Traffic (IVT) and ad fraud detection systems — click spam, install hijacking, SDK spoofing, device farms — using rules-based and ML-driven detection across billions of daily events. Develop backend services (Java, REST APIs, JDBC) supporting DSP bidding logic, campaign management tools, and reporting APIs. Design and develop GenAI-powered agents for analytics, operations, and data enrichment using frameworks such as LangChain, LlamaIndex, LangGraph, or custom orchestration frameworks. Design systems that are highly available, fault tolerant, and optimized for low latency and high throughput. Collaborate closely with cross-functional teams to improve platform scalability, reliability, performance, and customer experience. Work with Product Managers to define and implement new analytics capabilities and platform features. Participate in Agile/Scrum ceremonies including sprint planning, backlog grooming, estimation, retrospectives, and release planning. Perform architecture discussions, design reviews, and peer code reviews while promoting software engineering best practices. We'd Love for You to Have: 1–5+ years of professional experience in Java backend development and data engineering. Strong computer science fundamentals including data structures, algorithms, distributed systems, and software design principles. Hands-on experience developing scalable backend services using Java, REST APIs, JDBC, and relational databases. Strong experience building distributed data pipelines using Spark, Kafka, Hadoop, Snowflake, SQL, and AWS. Experience designing and optimizing large-scale analytical data platforms for Mobile AdTech using Java, Spark, Kafka, Snowflake, SQL, and AWS. Strong understanding of real-time event processing, distributed data systems, and data warehouse architectures. Familiarity with distributed query engines, modern data lake technologies, and high-performance analytical databases (e.g., Trino, Presto, ClickHouse, Apache Iceberg, Delta Lake, or Apache Hudi) is an added advantage. Experience processing high-volume streaming data using Spark Streaming, Kafka Streams, or similar technologies. Good understanding of data warehousing, dimensional modeling, ETL/ELT design, and distributed computing concepts. Mobile AdTech Experience Experience working with Mobile AdTech platforms or digital advertising ecosystems is highly preferred, including knowledge of: Direct experience with Real-Time Bidding (RTB), OpenRTB protocol, and Mobile DSP/SSP/Ad Exchange architecture. Familiarity with mobile SDK event tracking (impressions, clicks, installs, in-app events) and Mobile Measurement Partner (MMP) integrations. Understanding of attribution methodologies (click-through, view-through, multi-touch based attribution). Knowledge of mobile identity solutions (IDFA, GAID, IDFV) and the privacy landscape driving their deprecation. Experience with campaign pacing, bid optimization, and budget delivery algorithms. Background in ad fraud/IVT detection — click spam, install fraud, SDK spoofing. Generative AI Experience Experience building production-grade GenAI applications including: LLM integration (OpenAI, Anthropic, Claude, Gemini, Mistral, Cohere, etc.) LangChain, LlamaIndex, LangGraph, or similar orchestration frameworks Prompt engineering and prompt optimization AI evaluation and observability AI agents and workflow automation Additional Preferred Skills Experience building scalable, production-grade AI or data platforms. Strong SQL optimization and query performance tuning skills. Experience with CI/CD pipelines, Docker, Kubernetes, and cloud-native application development. Experience with monitoring and observability tools such as Grafana, Prometheus, Datadog, or AWS. Strong debugging and troubleshooting skills in distributed environments. Demonstrated ability to achieve stretch goals in a fast-paced, highly collaborative engineering environment. Ability to learn new technologies quickly and independently. Excellent verbal and written communication skills. Strong interpersonal skills with the ability to collaborate effectively across engineering, product, and customer-facing teams. Qualification: Should have a bachelor’s degree in engineering or an equivalent degree from a well-known institute/university. Additional Information: Return to Office : PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!. Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

About the Role Join PubMatic to build the future of performance advertising at internet scale. We are looking for a Senior Software Engineer who is passionate about designing high-performance, low-latency, privacy-first backend systems that power smarter ad decisioning and deliver stronger outcomes for buyers, publishers, and DSP partners. In this role, you will work at the heart of the programmatic advertising ecosystem, building next-generation capabilities across real-time bidding, targeting, optimization, attribution readiness, and auction intelligence. You will help shape systems that improve bid efficiency, win rate, fill rate, yield, buyer spend performance, and platform reliability—all while operating within evolving privacy and signal constraints. This is an opportunity for a strong backend engineer with deep ad-tech and performance advertising expertise, especially across SSP-DSP workflows, OpenRTB, real-time decisioning, privacy-aware signal usage, and optimization systems. You will collaborate closely with Product, Data Science, DSP Partnerships, Publisher teams, and SRE to build ML-driven, data-informed platforms that directly influence campaign performance and marketplace efficiency. If you are excited by the challenge of solving complex, real-time, high-scale engineering problems and want to make a measurable impact in performance advertising, this role offers a chance to build systems that sit on the critical path of digital media outcomes. What You'll Do Develop, benchmark, and deploy real-time bidding (RTB) algorithms, pacing controls, and predictive models aimed squarely at maximizing ROAS and conversion tracking across all screens (CTV, Mobile App, Video, and Desktop). Use best practices for software development and documentation, ensure designs meet requirements, and deliver high-quality work. Write high-performance, low-latency, and memory-efficient code (Python, Go, or C++) matching our ultra-scaled backend layer that processes trillions of daily requests. Demonstrated ability to self-direct and work independently. Demonstrate work ownership and focus to deliver on time. Willing to go extra mile to achieve greater results. Work with teams to achieve desired goals. Demonstrate timely and excellent verbal and written communication skills. We'd Love for You to Have Four plus years of development experience in Go language, Linux/UNIX environment. Good to have experience with C/C++ language. Excellent understanding of Data Structures and Algorithms. Excellent problem-solving skills. Being able to use generative AI-based tools and IDE for getting work done. Understanding of different models at basic level. Prompt engineering basics. Knowledge of OS and system programming (multi-threading, multi-processing, memory management). Troubleshoot any issues with existing features, live on production. Ability to write clean, modular, and loosely coupled code. Ability to understand end-to-end product functionality. Ability to do software design for assigned tasks. Working knowledge of scripting Perl/Python/Shell. Working experience in databases, preferably MySQL. Work closely with senior engineers to develop the best technical design and approach for new product development. Excellent interpersonal, written, and verbal communication skills. Proficiency in AI-assisted coding, automation, prompt engineering, and an understanding of the strengths and limitations of LLM-generated code is a strong plus. AI-Enabled Engineering Mindset We value engineers who actively leverage Generative AI tools and IDEs (e.g. GitHub Copilot, ChatGPT, Claude, Cursor, Windsurf etc.) to accelerate development, improve code quality, automate repetitive tasks, and enhance documentation and debugging workflows. Engineers who demonstrate AI-first thinking using these tools to drive faster experimentation, ideation, and technical execution will thrive in our high-scale, performance-critical environment. Qualifications: Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from well-known Institutes / Universities. Additional Information: Return to Office : PubMatic employees throughout the global have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits : Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more! Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

About the Role The Software Developer role is a full-stack engineering position focused on building scalable, AI-enabled product capabilities within a mature technology ecosystem. With 3 -5 years of experience, you’ll contribute to frontend development using TypeScript and Angular, backend services in Java, and collaborate across platform, data, and product teams to deliver reliable, high-quality solutions. Exposure to Python or Golang is valued, particularly for backend services, integrations, and AI-driven components. This role emphasizes production-grade AI adoption, including Agentic AI workflows. You’ll focus on applying AI where it meaningfully enhances product outcomes—improving user experience, automation, and decision intelligence—while adhering to enterprise standards around architecture, testing, and reliability. Strong communication, disciplined execution, and the ability to align AI-driven solutions with long-term product strategy are critical to success What You'll Do 3 to 5 years’ experience in development, whereas a minimum 3+ years’ experience in UI development with the Angular 15 version and above exposure is preferred. 3+ years of design patterns, modular JavaScript, ES6, front end debugging techniques, front end build processes. Experience of 6+ months in backend API development is a plus. API development using NodeJS or other popular languages like Python. Hands-on experience in advanced JavaScript and JavaScript frameworks like AngularJS and NodeJS. Design, build, and maintain high-performance, scalable backend services using NodeJS/Python in Linux/UNIX environments. Proficiency in SQL and relational databases, including complex queries, performance optimization, schema design, indexing, and stored procedures. Knowledgeable in REST API development, patterns, and design concepts using NodeJS, Python, etc. Strong knowledge of Data Structures and OOPS concepts. UI and backend codebase Unit Testing experience is a must. Problem-solving skills and the ability to learn and adopt new technologies. Experienced in working and coordinating with cross-functional teams like Product, Marketing, UX, QA, Account management, and Backend platform teams in multiple US cities and Pune, India. Knowledgeable of the performance, scalability & security considerations for web applications. A passion for developing and maintaining high-quality code and enabling contributions from engineers across the team. Leverage AI-enabled development tools (e.g., GitHub Copilot, ChatGPT, and Cursor) for coding, debugging, documentation, and automation. We'd Love for You to Have 3 - 5 years of Agile and Scrum methodologies, including sprint planning, daily stand-ups, sprint demos, sprint retrospectives, estimation, and prioritization techniques. Implementation of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, documentation, build processes, automated testing, and operations. Finding ways to increase the throughput of the team with innovation & motivation. Strong inter-personal skills and a desire to work collaboratively. Experience in handling Engineering escalations from customers will be preferred. Able to communicate clearly and effectively with all levels. Strong operational and project management skills in a product development environment. Knowledge of large-scale deployment architectures, monitoring, and CI/CD. Hands-on experience with AI-assisted coding and automation workflows. Basic understanding of prompt engineering and LLM usage for productivity. Understanding of advanced AI concepts, including RAG, agentic AI, and model fine-tuning. Qualification Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from well-known Institutes / Universities. Additional Information Return to Office : PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits : Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, and broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches, and much more! Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies, and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.