Engineering Manager Development Infrastructure Salary India Jobs

About the Team The Spark Platform team owns and operates DoorDash's Apache Spark ecosystem — the execution runtime, remote shuffle service, cluster scheduler, and reliability tooling that powers the company's data, analytics, and ML workloads. We run Spark across the company at significant scale and continue to expand the workloads, capabilities, and consumer base we serve. Orchestrating and operating thousands of Spark cluster deployments is a complex distributed system problem which the team invests heavily in runtime optimization, systems architecture, multi-tenant scheduling, and end-user tooling. About the Role As a Software Engineer on Spark Platform, you will execute across the surfaces of our in-house Spark deployment that serves the entire company. The work spans Spark runtime upgrades and performance, multi-tenant scheduling and executor bin-packing on Kubernetes, cluster lifecycle automation, and the observability and incident automation that keep the platform sustainable. You will move between layers as the work demands — picking up the next high-leverage problem regardless of where it sits — and partner closely with the rest of the team and with platform consumers across the company. You must be located in San Francisco, Sunnyvale, Seattle, or New York City for this hybrid position. You will report into the Engineering Manager on our Spark Platform team. You're excited about this opportunity because you will… Build and operate an in-house Spark platform that runs at company-wide scale, spanning runtime, scheduler, reliability, and user-facing tooling. Drive multi-tenant scheduling, executor bin-packing, and cost-aware placement that let a small team serve dozens of consumer teams. Own pieces of cluster lifecycle automation — provisioning, upgrades, capacity changes, and node-failure handling — at a scale where these stop being manual events. Build the observability and incident automation that make the platform debuggable end-to-end and keep on-call sus

About the Team The Spark Platform team owns and operates DoorDash's Apache Spark ecosystem — the execution runtime, remote shuffle service, cluster scheduler, and reliability tooling that powers the company's data, analytics, and ML workloads. We run Spark across the company at significant scale and continue to expand the workloads, capabilities, and consumer base we serve. Orchestrating and operating thousands of Spark cluster deployments is a complex distributed system problem which the team invests heavily in runtime optimization, systems architecture, multi-tenant scheduling, and end-user tooling. About the Role As a Senior Software Engineer on Spark Platform, you will set the technical direction for our in-house Spark deployment and shape the architecture that will run DoorDash's data, analytics, and ML compute for the next five years and beyond. You will own the deep, cross-cutting problems that span the runtime, the shuffle service, the scheduler, and the overall service reliability — making the architectural calls that compound across the platform's lifetime. You will partner with the Engineering Manager on technical roadmap, hiring, and team shape, and act as the senior technical voice in cross-team partnerships with Data Engineering, ML Platform, and product engineering teams that depend on the platform. You must be located in San Francisco, Sunnyvale, Seattle, or New York City for this hybrid position. You will report into the Engineering Manager on our Spark Platform team. You're excited about this opportunity because you will… Set the multi-year technical direction for an in-house Spark-on-Kubernetes platform — runtime, shuffle, scheduler, reliability — and make the architectural calls that compound for years. Own the deepest distributed-systems problems on the team: shuffle architecture, multi-tenant scheduling, runtime performance, and the failure modes that only show up at scale. Partner with the Engineering Manager on technical roadmap, hiring, inte

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ ➡️ Mission: Join us as Analytics Engineer x Business Analytics and become the person our Business Analytics teams can build on without a second thought. You will own end-to-end the data models feeding Product, Growth, and Ops Finance analytics — designing scalable dbt models, pushing back on requests that would trade reliability for speed, and helping the team migrate to Omni and a real semantic layer. You will work closely with Jules Jeanroy, our Analytics Engineering Manager, and partner daily with Business Analysts across Product, Growth, and Ops Finance. The team is at a pivotal moment — investing in scalability, cutting technical debt, and building the standards that will define how Analytics Engineering works at Qonto for years to come. ➡️ As an Analyti

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as a Site Reliability Engineer on our Storage team to keep the databases Qonto runs on resilient, safe, and always available. You'll operate and improve our banking-grade storage infrastructure — PostgreSQL, Redis, Kafka and Elasticsearch — and help make it self-serve for backend teams, under the guidance of Damien, our Storage Engineering Manager. ➡️ What you'll do Operate and safeguard critical storage infrastructure: You'll run PostgreSQL, Redis, Kafka and Elasticsearch in production, keeping banking-grade data safe and available. Own incident response and root-cause analysis: You'll be the last line of defense when a hard query or performance problem needs solving. Build our banking-license compliance roadmap: You'll define and prioritize backup a

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. Building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives requires robust, scalable software systems operating at massive scale. Our highly motivated Software Engineers work on these challenging problems and build the systems that directly impact various aspects of our core business. If you are a critical thinker with experience building software systems, passionate about solving business problems through well-crafted code and working in a dynamic, creative, and collaborative environment, we are searching for you. As an associate software engineer, you will be designing, building, and launching the services that power the platform's core products. Compared to similarly-sized technology companies, the set of problems that we tackle is incredibly diverse. They cut across transportation, distributed systems, backend services, mapping, personalization, and real-time infrastructure. We are hiring motivated engineers across each of these areas. We're looking for someone who is passionate about solving problems with code, building reliable and maintainable systems, and is excited about working in a fast-paced, innovative, and collegial environment. You will report to a Software Engineering Manager. Responsibilities: Partner with Engineers, Data Scientists, Product Managers, and Business Partners to build software for business and user impact Perform technical analysis and build proof-of-concept prototypes to explore and propose solutions to both new and existing problems Design and develop software components, services, and APIs Write production quality code to launc

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role For many of our creators, streaming on Twitch is a career, and our payment systems are central to making this possible. We're operating at a massive scale and you'll help millions of creators to earn a living doing what they love. As a key member of the engineering team, you will report to the Senior Engineering Manager of Payments team and have the opportunity to build and scale solutions that affect millions of users and broadcasters. You will take high ownership of your services - architecting, building and operating them. You will partner with other engineers, product managers, designers and data specialists to deliver solutions. Our team is based in San Francisco, CA You Will: Work with technical leads and other engineers to design and develop commerce/payments platform and services Contribute to customer-focused project deliveries Work with other teams to clarify product requirements Improve engineering processes Participate in design and code reviews You Have: Minimum of Bachelor’s degree in Computer Science or prior relevant engineering experiences Strong understanding of data structures, algorithms, data modeling and schema design 1+ years as an software engineer Experience creating detailed technical documentation Proficient experience level in one or more of the fol

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role The Mobile Core team develops frameworks and tools that empower engineering teams across Twitch to build compelling mobile experiences. In this role, you will directly contribute to creating and refining core features, such as Video Playback, while architecting strategic solutions for internal developers. Twitch is evolving its mobile strategy from native-first to a hybrid approach that leverages React in WebViews alongside native iOS capabilities. You'll work on high-impact initiatives including our hybrid web-to-mobile platform, performance optimization at scale, automated testing infrastructure, and developer tooling that accelerates velocity across the organization. You will report to the Senior Engineering Manager for Mobile Core iOS and can work from either our Seattle, Irvine, San Francisco or our New York City offices. You Will: Own and drive the technical strategy for foundational iOS components, native video playback infrastructure, and hybrid (React in WebView) frameworks Architect and build robust WebView infrastructure and bridges that enable seamless integration between React-based web content and native iOS functionality Lead performance optimization efforts for platform components used by millions of daily active users, establishing benchmarks and best practices Prov

Engineering Program Manager — Minnesota, United States of America. Apply via Workday.

Engineering Project Manager - APTD Operations — Taichung - MTB, Taiwan. Apply via Workday.

Engineering Execution Manager, HIG High Bandwidth Memory (HBM) — Fab 10A, Singapore. Apply via Workday.

Engineering Execution Manager, HIG High Bandwidth Memory (HBM) — Boise, ID - Main Site. Apply via Workday.

As an FEA Analyst (ANSYS) will be responsible for performing finite element analysis and simulations to assess the structural integrity and fatigue life calculation various wind turbine components products. The role involves collaboration with cross-functional teams to enhance designs using advanced simulation tools. Source: Adani Group | Job ID: 50348

The Associate Manager– Electrical -O&M will play a critical role in the mining industry at Parsa, overseeing and managing electrical breakdown, preventive & predictive maintenance for 10MMT and 5MMT washeries. This position will also be responsible for Capex projects, spare parts management, budgeting, and safety, ensuring the smooth and efficient operation of electrical systems within the mining environment. Source: Adani Group | Job ID: 35469

The Blade Process Engineer is responsible for designing and optimizing blade manufacturing processes, ensuring they meet production efficiency and quality standards. This role involves developing detailed work instructions, monitoring process parameters, and implementing corrective actions to address production deviations. The Process Engineer supports troubleshooting efforts on the shop floor, participates in root cause analysis of process-related defects, and collaborates with material engineers to validate the integration of new materials into existing processes. This position plays a key role in maintaining compliance with industry standards, documenting process changes, and contributing to continuous improvement efforts to enhance blade quality and reduce production costs. Source: Adani Group | Job ID: 56242

The Blade Process Engineer is responsible for designing and optimizing blade manufacturing processes, ensuring they meet production efficiency and quality standards. This role involves developing detailed work instructions, monitoring process parameters, and implementing corrective actions to address production deviations. The Process Engineer supports troubleshooting efforts on the shop floor, participates in root cause analysis of process-related defects, and collaborates with material engineers to validate the integration of new materials into existing processes. This position plays a key role in maintaining compliance with industry standards, documenting process changes, and contributing to continuous improvement efforts to enhance blade quality and reduce production costs. Source: Adani Group | Job ID: 56237