Engineering Manager Development Infrastructure Salary India Jobs

#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As a Data Scientist at Nextdoor, you will help design and oversee product experiments and own complex analyses to drive company and product strategy. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group consists of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, physics, statistics, and operations research. We are an integral part of the product development organization and play an active and collaborative role in building and improving the product. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You'll Make We are looking for a Staff Data Scientist to accelerate execution on priority content investments and elevate the quality of product decision-making.

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're hiring a Product Data Scientist to establish how product decisions at Baseten are made with data. You'll work directly with Product and Engineering, alongside GTM to determine measurement, strategy, experimentation and implementation. This is a foundational, hands-on role. You'll define what success looks like across a technical, usage-based platform and turn ambiguous questions into analyses, forecasts, and experiments that shape product strategy. You'll work from clickstream and product events through inference telemetry and observability data, helping Baseten make faster decisions about reliability, performance, adoption and developer experience. RESPONSIBILITIES Partner directly with Product and Engineering: frame the questions that matter, define success criteria, and turn analysis into roadmap, launch, and prioritization decisions. Define how product success is measured: establish metrics across activation, adoption, retention, expansion, reliability and user experience. Support experimentation and launches: design measurement plans, analyze A/B experiments and controlled rollouts, and translate results into product decisions. Diagnose reliability and scaling behavior: join customer signals with request, replica, deployment, and cluster telemetry to find patterns in release bottlenecks, unhealthy replicas, and models without traffic. Define the enterprise customer journey and measure feature adoption

About the Team The Ona team at OpenAI is helping build the software factory for the enterprise. We build infrastructure that enables AI agents to work in secure, customer-controlled cloud environments, with the context, tools, and controls they need to make progress across the software lifecycle—beyond a single developer’s laptop or active session. Our focus is helping enterprises move from experimenting with agents to using them reliably in production. That means solving challenging problems in cloud environments, orchestration, security, and collaboration, while making the experience straightforward for the people directing and reviewing the work. We’re a team that values initiative, close relationships with customers, and exceptional engineering craft. We take ownership, learn quickly, and communicate directly and kindly. About the Role We’re hiring backend-focused Product Engineers across our platform and security product teams. You’ll build infrastructure and customer-facing workflows that let developers and AI agents work reliably in parallel. You’ll work primarily in Go on APIs, complex networking, development environments, and orchestration for long-running tasks. You’ll own outcomes from understanding a user’s problem and choosing an approach through shipping, operating, and improving the solution, working closely with frontend, infrastructure, and security engineers. In this role, you will: Work directly with customers to build developer and security workflows, from getting a project running to investigating findings, reviewing agent-generated changes, and verifying fixes. Build Go services and APIs for provisioning cloud environments, running agents in customer infrastructure, and integrating with source control, CI, and other developer tools. Design reliable orchestration for long-running, parallel work, including durable state, retries, cancellation, and recovery. Build security into execution workflows through clear permissions, credential handling, is

About the Role As a member of the Platform Partnerships team, you will lead some of the most important integrations connecting the world into OpenAI’s flagship products, including Codex and ChatGPT. This role has enormous impact, as OpenAI users and their agents increasingly interact with third-party services. You will set partnership strategy, craft mutually beneficial commercial and technical agreements, and work closely with product and engineering teams to bring new platform capabilities to market. You will help decide what gets built, which partners to prioritize and how a new generation of AI-native services come to life. This role sits at the intersection of product, engineering, partnerships, and ecosystem strategy. The right person is someone who can run deals end-to-end, navigate ambiguity, push product thinking when needed, and move fast with partners and internal teams. In this role, you will Lead full lifecycle partnerships, from identifying and prioritizing partners to negotiating terms, closing complex agreements, and driving partner success. Work directly with Product and Engineering to shape how connectors, agents, and third-party workflows function inside ChatGPT and Codex. Develop ecosystem relationships to drive deeper engagement across distribution, co-marketing, and product innovation. Translate partner commercial needs, technical constraints, and market dynamics into program and product recommendations, prioritization calls, and go-to-market plans Bring structure to ambiguous opportunities and help the team decide where to go deep, move fast, or say no. Drive aggressive timelines by clearing blockers and aligning internal and external workstreams. You might thrive in this role if you 10+ years of experience in product partnerships, product management, or developer relations. Demonstrated success structuring and negotiating complex commercial and technical deals, with strong negotiation skills with a focus on creative solutions. Excellent produ

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. The Design Systems team creates the visual and interaction foundations that help Vanta deliver coherent, accessible, and high-quality experiences across the product. This team partners across the EPD organization to build the systems, patterns, and practices that enable product teams to move faster while maintaining a high bar for craft and usability. As a Staff Visual Product Designer focused on Design Systems at Vanta, you will shape the visual language of our product and the systems that bring it to life. You will define and evolve scalable patterns across our design and engineering ecosystems, partner closely with product designers and engineers, and help create a cohesive experience for customers navigating complex security and compliance workflows. You’ll combine exceptional visual craft with systems thinking, product judgment, and the ability to influence across teams. What you’ll do as a Staff Visual Product Designer, Design Systems at Vanta: Define and evolve Vanta’s visual design language across product surfaces, creating a cohesive, distinctive, and scalable customer experience. Set a high bar for visual craft across typography, color, layout, iconography, illustration, motion, data visualization, and interaction details. Partner with Design Systems, Product, Engineering, Research, Content Design, and Brand teams to translate customer and business needs into effective system-level solutions. Own and evolve foundational design system elements, including design tokens, component visual states, responsive behavior, theming, density, and platform-specific adaptations. Create reusable patterns and guidance that help produ

About the Team OpenAI's Industrial Compute organization is building and scaling the infrastructure required to support frontier AI. The Infrastructure Strategic Sourcing team connects technical and project requirements to supplier readiness, contracting, purchasing, equipment delivery, and portfolio-level risk visibility across owner-furnished contractor-installed equipment (OFCI), data center networking, rack systems and integration, fiber, cabling, optical interconnects, and related infrastructure. The team partners across Pre-Construction, Design, Construction, Electrical and Mechanical Engineering, Network Engineering, Hardware and Rack Delivery, Strategic Sourcing, Procurement, Legal, Finance, Accounts Payable, Logistics, and external suppliers. We build the operating mechanisms that keep sourcing decisions, purchase execution, long-lead equipment, network and fiber dependencies, rack readiness, and delivery commitments aligned to infrastructure schedules. About the Role We are seeking an Infrastructure Sourcing Operations Lead to own procurement operations across pre-construction, design, construction, and sourcing through purchase order issuance, while maintaining visibility through invoice resolution, production, logistics, delivery, installation, and readiness. The portfolio includes electrical and mechanical OFCI, networking equipment, rack systems and integration, fiber, cabling, optical interconnects, and other infrastructure required to bring capacity online. In this role, you will set priorities, make or escalate decisions that affect cost, supplier relationships, contractual position, and delivery schedules, and define the standards used by execution support for queue management, documentation, tracker maintenance, and recurring reporting. Success requires sound commercial and program judgment, operational rigor, systems thinking, and the ability to turn incomplete information across vendors, tools, and project teams into clear decisions, accountable

We are seeking a Software Engineer to join our growing Gurugram Products & Technology team to develop and expand core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Software Engineer on this new team, you will be responsible for developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to implement the first version and future evolution of the service Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in building core components for high scale compute and data distributed systems 3+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Payment Intelligence is comprised of multiple product teams building AI-first solutions to some of our customers’ biggest challenges, including fraud/abuse ( Radar ), payment optimizations ( AuthBoost ), Disputes, Authentication, and merchant analytics. We’re a mix of machine engineering engineers and full-stack software engineers impacting ~every Stripe transaction, creating revenue opportunities for Stripe and our customers, and helping protect the broader ecosystem. We have the benefit and privilege of working on cutting edge technologies with incredible scale and reach while also working directly with our merchants every day to build the right products for their needs. What you'll do As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML teams and models. Responsibilities Define technical strategy for multiple experiences across the Payment Intelligence portfolio, with a focus on quality and performance Champion a quality-first engineering culture - establish standards, tooling, and processes that make it easy to ship high-quality code at scale Partner with some of Stripe’s largest merchants to co-build the future of payment-centric intelligence Partner cross-functionally

About the Team The OpenAI for Government AI Architect team partners with public sector organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with government agencies, public institutions, and partner organizations serving the government to identify where AI can advance critical missions, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, Security, Global Affairs, and specialist delivery teams to help public sector customers adopt advanced AI responsibly and effectively. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will shape each customer's AI strategy and guide their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable mission impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate mission priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value. The Account Director leads the overall account strategy and relationship, while you lead the technical strategy, customer journey, and path to production impact. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong public sector fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. This r

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. About The Team The Commerce Site Reliability Engineering team is responsible for the reliability, scalability, and day-to-day operation of the platforms that power GoDaddy's Commerce ecosystem. We build and operate shared infrastructure, support critical production systems, and partner closely with engineering teams to ensure services remain secure, resilient, and highly available. As a Senior Site Reliability Engineer, you'll join a team that values ownership, operational excellence, and continuous improvement. Engineers are empowered to identify problems, drive meaningful change, and influence how reliability is delivered across the broader Commerce organisation. From improving operational maturity and reducing toil to modernising delivery platforms and strengthening incident response practices, this team plays a key role in enabling engineering teams to move quickly and safely. You'll work closely with engineers across infrastructure, cloud, security, networking, and application teams while helping shape the future of reliability engineering at GoDaddy. This role offers significant opportunity to broaden your impact, develop technical leadership skills, and grow toward Staff and Principal engineering positions over time. What you'll get to do... Lead reliability and operational improvement initiatives across GoDaddy's Commerce platform, helping engineering teams build and operate services safely and at scale. Own critical production systems, drive incident response and post-incident improvements, and continuously raise the bar

Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings Join Our Team... GoDaddy’s Product Security team is looking for a Security Engineer who is passionate about helping build secure products and services used by millions of customers worldwide. In this role, you will work closely with engineering and platform teams to identify security risks, improve security practices, and help embed security throughout the software development lifecycle. You will have the opportunity to learn from experienced security professionals while contributing to initiatives that improve the security and resilience of our products, platforms, and cloud environments. The ideal candidate is curious, hands-on, eager to learn, takes ownership of their work, and excited to solve security challenges at scale! What you'll get to do... Identify, assess, and help remediate security risks across applications, infrastructure, cloud environments, and AI-enabled services Partner with engineering and platform teams to design, implement, and improve security controls throughout the software development lifecycle Conduct security reviews, threat modelling, and risk assessments to help build secure, resilient, and scalable systems Develop and enhance automation, tooling, and processes that strengthen security coverage, improve detection and response capabilities, and increase operational efficiency Investigate security findings, stay informed on emerging threats and technologies, and contribute to a culture of security awareness and continuous learning Your experience should include... 2+ yea

Backend - Technical Lead About Us: Paytm is India’s largest digital payments and financial services platform, leading the mobile QR revolution. We power millions of businesses and individuals, and we’re building scalable, resilient systems to serve half a billion Indians and beyond. Here at Paytm, technology isn't just about keeping up, it's about building the future. We believe the next generation of engineers must not only scale systems to billions but also leverage AI and GPT tools to accelerate innovation About the Role: 1) As a Technical Lead, you’ll not just write code — you’ll design scalable architectures, coach engineers, and lead technology-first projects. 2) You'll drive backend systems that support 100M+ DAUs, optimize APIs to sub-50ms latencies, and be a champion of engineering excellence. 3) We expect you to actively use AI tools to accelerate architecture design, code reviews, prototyping, and developer productivity. What We're Looking For: 1) 5+ years of hands-on backend engineering experience — Java, Spring Boot, AWS.) 2) Proven ownership of high-scale distributed systems. Deep knowledge of microservices, messaging systems, caching, storage optimization, and cloud scalability. 3) Clear architectural thinking; you can design systems for billions of transactions, not just millions. 4) An AI-first mindset — you should know how to augment yourself with GPT and other AI coding tools to move 2x faster. 5) Strong leadership skills — mentoring, code reviewing, pushing for engineering best practices. Why You Should Join Us: 1) Massive ownership and real-world system building opportunities. 2) Work with AI, not against it — code smarter, architect smarter, and build smarter. 3) We are a pure tech-driven team inside Paytm — no unnecessary meetings, no bureaucracy. 4) You’ll work on critical platforms, live user-impacting systems, and future-proof engineering. Ideal Profile 1) Obsessed with system scale, performance, and reliability. 2) Already usin

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We are growing our engineering team at Trustpilot and are looking to welcome a Software Engineer I into the Trust Tech department! You will join a cross-functional team with full ownership of our products and codebase, where you will take part in every step of the development process, from ideation to maintenance. This is a place where you can grow as an individual, learn from senior mentors, and have a real influence on the direction of our projects. About the team: You will be joining a brand new team being built within the Trust Tech department, focusing specifically on businesses. The team is responsible for building and maintaining automated systems that enforce Trustpilot’s terms of use for businesses. This includes developing systems for automatic detection, enforcement of misuse, and internal investigation tools. This work is vital to maintaining Trust and Transparency on the platform. To achieve this, we collaborate closely with Data Scientists, Data Ops, and ML Ops to build sophisticated automated architectures that integrate detection models and robustly scale our misuse enforcement. What you’ll be doing: Work in a cross-functional “full ownership” team alongside Product, Design, and Data Science. Implement and release new features with a focus on backend stability and scalability. Help build solutions to handle high-volume data processing for fraud detection. Maintain and improve the internal tooling frontends (React) used for investigations. Troubleshoot existing software, squash bugs, and learn how to optimize database performance. Participate in technical discussions and learn best practices for Infrastructure a

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We are growing our engineering team at Trustpilot and are looking to welcome a Software Engineer I into the Trust Tech department! You will join a cross-functional team with full ownership of our products and codebase, where you will take part in every step of the development process, from ideation to maintenance. This is a place where you can grow as an individual, learn from senior mentors, and have a real influence on the direction of our projects. About the team: You will be joining a brand new team being built within the Trust Tech department, focusing specifically on businesses. The team is responsible for building and maintaining automated systems that enforce Trustpilot’s terms of use for businesses. This includes developing systems for automatic detection, enforcement of misuse, and internal investigation tools. This work is vital to maintaining Trust and Transparency on the platform. To achieve this, we collaborate closely with Data Scientists, Data Ops, and ML Ops to build sophisticated automated architectures that integrate detection models and robustly scale our misuse enforcement. What you’ll be doing: Work in a cross-functional “full ownership” team alongside Product, Design, and Data Science. Implement and release new features with a focus on backend stability and scalability. Help build solutions to handle high-volume data processing for fraud detection. Maintain and improve the internal tooling frontends (React) used for investigations. Troubleshoot existing software, squash bugs, and learn how to optimize database performance. Participate in technical discussions and learn best practices for Infrastructure a

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We are growing our engineering team at Trustpilot and are looking to welcome a Software Engineer I into the Trust Tech department! You will join a cross-functional team with full ownership of our products and codebase, where you will take part in every step of the development process, from ideation to maintenance. This is a place where you can grow as an individual, learn from senior mentors, and have a real influence on the direction of our projects. About the team: You will be joining a brand new team being built within the Trust Tech department, focusing specifically on businesses. The team is responsible for building and maintaining automated systems that enforce Trustpilot’s terms of use for businesses. This includes developing systems for automatic detection, enforcement of misuse, and internal investigation tools. This work is vital to maintaining Trust and Transparency on the platform. To achieve this, we collaborate closely with Data Scientists, Data Ops, and ML Ops to build sophisticated automated architectures that integrate detection models and robustly scale our misuse enforcement. What you’ll be doing: Work in a cross-functional “full ownership” team alongside Product, Design, and Data Science. Implement and release new features with a focus on backend stability and scalability. Help build solutions to handle high-volume data processing for fraud detection. Maintain and improve the internal tooling frontends (React) used for investigations. Troubleshoot existing software, squash bugs, and learn how to optimize database performance. Participate in technical discussions and learn best practices for Infrastructure a