Senior Software Technologist I Full Stack Development Engine Jobs

We're looking for a strategic, detail-oriented Senior Product Manager to join the Books Vertical and lead end-to-end book experiences on Spotify: from discovery and conversion through to listening, and from the creator pipeline through to the consumer shelf. This role is about connecting the dots across our core experiences, conversion flows, content pipeline, and creator tooling to make books work seamlessly on Spotify. Books are a major focus for Spotify, and we need someone who can look holistically across the book ecosystem to identify gaps, reduce friction, and make sure our experiences are coherent end-to-end. You'll focus on making the full books journey work better for listeners, creators, and rights-holders, not just shipping new features. You'll partner closely with Personalization, Subscriptions, Experience, and creator-facing teams to strengthen and evolve book experiences across surfaces, and help shape a product strategy that directly improves how listeners discover and enjoy books. What You'll Do Shape and execute product strategy across core book experiences, conversion flows, content pipeline, and creator tooling. Partner with teams across Spotify to identify and close gaps across book surfaces, creating a coherent end-to-end experience from content pipeline through to the consumer experience. Collaborate with Design, Engineering, Product Insights, and Program Management to lead improvements across discovery, conversion, listening, and creator-facing surfaces. Conduct, commission, and use research to understand listener behavior, creator needs, book consumption patterns, and market trends. Use qualitative and quantitative insights to identify the most impactful opportunities across the book ecosystem and prioritize accordingly. Define and track success metrics across the book experience, connecting upstream pipeline health with downstream listen

We are looking for a Senior Backend Engineer to join the Subscriptions Mission. This team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify. As a Senior Backend Engineer you will participate in building and maintaining the systems responsible for driving user conversion, retention and upsells together with other R&D teams, Marketing and Growth. The team is uniquely positioned to play a key role in a new effort to strengthen our platform capabilities in this area to support the rapidly growing business needs of the ever-changing product portfolio. We are moving towards a more user focused, contextual conversion, retention and upsell experience that is less manually operated, and more consistent across channels, using levers like machine learning and personalisation. We want to solve this through a platformised approach utilising new systems for decision-making on what we want users to see combined with a content management solution that can handle all the necessary complexities. What You'll Do Architect, develop and operate Java services that serve our users through the merchandising platform to enable cohesive and relevant conversion and upsell journeys. Collaborate with our squad and key internal partners to determine how to design scalable backend systems, data models and APIs that run on Google Cloud Platform. Be a technical leader, mentor and valued contributor in an autonomous, cross-functional agile squad, in close collaboration with other squads and b

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. The IT Studio exists to remove the friction of work, unblocking Spotifiers anywhere, anytime, with simplicity and safety. We are the team behind the technology that approximately 8,000 Spotifiers rely on every day, spanning endpoint and device management, identity and access, networking and connectivity, IT service management and support, audio visual and meeting room technology, productivity and collaboration platforms, work management tooling, and the AI tools changing how everyone at Spotify works. Across 9 teams, we touch almost every part of how Spotify functions as a company. We’re looking for an experienced engineering leader to lead a group of Engineering Managers and approximately 50 engineers and technicians across the studio. You’ll set engineering strategy, strengthen the technical practices that help our teams operate at their best, and partner closely with product and studio leadership to balance engineering investment with business priorities. What You'll Do Lead and develop Engineering Managers across multiple teams, supporting their growth while creating clarity around outcomes and engineering excellence. Set and communicate engineering strategy across the studio, ensuring teams have clear technical direction aligned with IT’s mandate and Spotify’s business needs. Strengthen technical judgment across the Engineering Manager group, challenging processes that no longer add value and creating more space for architecture, quality, and team capability. Identify patterns and opportunities across teams and drive improvements in engineering practice, operational health, reliability, and

We design Spotify's consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. You'll lead a senior-heavy group of 10–12 machine learning engineers, including Staff engineers, who team up dynamically to solve high-priority business problems while staying deep in content understanding (audio, video and text). This is a player-coach role with a strong strategic remit: you'll shape where the group goes next, grow our audio understanding expertise over the long term, and help the team scale through thoughtful, practical use of AI in everyday engineering work. What You'll Do Lead, coach and grow a group of 10+ senior and Staff machine learning engineers who team up dynamically around business problems while staying deep in their domain. Set technical and team strategy for multiple content understanding problems and turn it into clear, achievable plans. Own delivery of high-priority company initiatives, from shaping the problem through to measurable impact for listeners. Stay close to the technology as a player-coach. Lead technical strategy, reviewing designs, guiding modelling and retrieval choices, and contributing hands-on where it helps the team most. Define and champion a practical point of view on how ML engineers use AI tools in their day-to-day work, and help the team realise real productivity gains. Partner with product, design, research and other engineering leaders across Spotify

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. Within Personalization, the Speak Team owns the development of Spotify's state-of-the-art speech models, contributing to speech recognition, speech synthesis, and speech-to-speech models. We craft voice models that match human-level emotional expressiveness, so we can deeply engage our listeners and support creators at scale. Our groundbreaking work on speech synthesis relies on state-of-the-art deep learning methods and evaluation techniques, highly efficient data processing and model serving, and capturing audio of outstanding quality from our voice talent pool. We're looking for a senior applied research scientist with experience in developing novel ML techniques and architectures and with a strong interest in working across a full production pipeline to produce state-of-the-art generative conversational speech-to-speech models. You'll collaborate with our engineering teams to help develop our production pipelines, explore new ideas and methods to improve quality, understanding and realism, as well as push the frontiers of what is possible with our speech technology. What You'll Do Develop and experiment with new methods for speech synthesis and speech recognition, along with end-to-end approaches, building on the latest research and ideas. Work towards the expansion of our speech use-cases targeting different markets and products. Be part of a highly motivated research team dedicated to building and creating models at scale to power the Spotify platform. Champion best practices for research and development, sharing your knowledge and

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. User Platform builds the identity and access capabilities that help people use Spotify safely and easily. We’re looking for a Senior Product Manager to shape how people access Spotify and stay connected across our apps, devices, and strategic partner integrations. You’ll focus on session management - how Spotify recognizes someone after they sign in, maintains their access, and enables them to connect or disconnect devices and applications. You’ll bring together consumer experience and technical product strategy, working closely with engineering, design, research, insights, security, and teams responsible for Spotify’s clients and partnerships. Your decisions will help people get to the experiences they want, stay in control of their access, and use Spotify with confidence. What You'll Do Define the product vision, strategy, and roadmap for session management across Spotify’s clients, device types, and strategic partner integrations. Use research, data, and feedback from users and developers to identify access friction and prioritize improvements with the greatest potential impact. Improve how sessions are established, maintained, and ended, balancing reliable access with account protection, privacy, and user control. Shape device connection, session transfer, and partner authorization experiences, including clear consent when an app requests access or additional capabilities. Partner with engineering to make session and access capabilities reusable and easier to adopt through APIs, client components, documentation, and clear integration guidance. Work across client, device, and partner

We’re looking for a Senior C++/iOS Engineer to join the Baldur squad within User Platform (UP). Baldur owns Spotify’s Session Management and Delegated Authorization domains—the systems that enable applications to securely obtain, use, and manage access tokens for hundreds of millions of users. In this role, you’ll help shape the technology that powers secure access across every Spotify client and third-party integration. Your work will support engineers across Spotify building mobile and desktop experiences, platform teams, and third-party developers integrating with Spotify’s authorization platform. You’ll collaborate across disciplines to build secure, reliable, and scalable authentication experiences that have a direct impact on millions of people every day. What You'll Do Collaborate with a highly autonomous and supportive engineering squad responsible for Spotify’s delegated authorization and session management platforms. Design, build, and evolve critical infrastructure powering Spotify applications and partner integrations using shared C++ libraries and native Swift on iOS. Develop secure, reliable, and performant delegated authorization flows, including token issuance, refresh, revocation, and session lifecycle management across multiple platforms. Partner with client and backend engineers to integrate with core authorization services, token issuance, client registration, and token revocation. Improve how credentials and access tokens are securely stored and managed on-device while balancing security, reliability, and application performance. Contribute to the evolution of Spotify’s authorization frameworks, Spotify-specific implementations, enabling new platforms and product experiences. Drive technical improvements, share knowledge with teammates, and help shape the long-term technical direction of delegated authorization and session management. Who You Are You have

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are the Voice Production Team, the creative team behind Spotify’s AI voice experiences. We think about AI voices from a casting perspective — including voice type, age and gender — and from a performance perspective, recognizing that a voice may need to perform differently for DJ than it does for an audiobook recap. We bring expertise in voice casting, direction, recording and production, and work closely with Speak to set the quality bar for AI voice models across experiences including AI DJ, Generative AI Ads, Personalized Podcasts, Agent Voice Chat and more. As a Senior Product Quality Analyst, you’ll bring a dedicated evaluation perspective to the team. You’ll own how we define and measure AI voice quality, bringing together Voice Production’s creative bar, Speak’s technical bar and the wider industry bar. Your goal won’t simply be to determine whether Spotify has the “best” AI voice technology on the market. You’ll help us answer a more important question: is our technology the best at serving Spotify’s specific needs? What You'll Do Own the quality bar for Spotify’s AI voice models, defining what “good enough” means for different products, audiences, languages and use cases. Independently design evaluation rubrics and build an evaluation approach that measures qualities such as naturalness, tone, pacing, pronunciation, accent, audio quality and overall experience. Plan and carry out evaluation campaigns, turning qualitative and quantitative findings into clear recommendations for Voice Production, Speak and product team

We design Spotify’s consumer experience - end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. We’re seeking a Senior Product Manager to help lead the audiobook experience across Spotify’s mobile apps. You’ll join Format Foundations within Core Experience and partner closely with the Audiobooks business unit to shape how listeners discover, evaluate, enjoy, and build lasting relationships with audiobooks on Spotify. What You'll Do Lead product strategy for Spotify’s audiobook experience, shaping how the format becomes more engaging, valuable, and enjoyable for listeners, creators, and the business. Define and evolve the experience across the audiobook journey, from discovery and evaluation through playback, library management, and reading. Partner closely with the Audiobooks business unit to translate business strategy and listener needs into product innovation that supports growth. Drive innovation across multimodal experiences, including the intersection of listening and reading. Partner with Engineering, Design, Data, and other cross-functional teams to deliver intuitive, high-quality experiences at scale. Use data, experimentation, and user insights to make informed product decisions and continuously improve the experience. Build alignment across Core Experience, Audiobooks, Personalization, and other partners to create a cohesive Spotify experience.

We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is understood, trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continue to grow—driven by advances in AI, new creation tools, and emerging content formats—we’re investing in intelligent systems that can understand, evaluate, manage, and route content reliably at global scale. We’re hiring Senior Staff Machine Learning Engineers to build and scale foundational ML systems that power content understanding, safety, policy enforcement, and decisioning across Spotify. Depending on your experience and interests, you may focus on areas ranging from multimodal content understanding and platform-level ML systems to safety, risk detection, policy enforcement, and compliance. You’ll help shape the architecture and technical strategy behind how Spotify understands and makes decisions about content at global scale. This work is foundational to delivering safe, high-quality experiences for listeners and creators while enabling new ways for people to interact with content across Spotify. What Yo

We design Spotify's consumer experience — end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints — from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. Platform & Partner Experience (PPX) sits within the Experience Mission, shaping how Spotify shows up across devices, platforms, and partner ecosystems. We build the foundations that power seamless integrations — from smart speakers to cars to AI agents — while ensuring every interaction feels personal, reliable, and unmistakably Spotify. As a Senior Staff Engineer, you'll advance how our systems power partner experiences at scale, tackling complex challenges that span teams, systems and organizational boundaries. You will work closely with platform, infrastructure, and product teams across the company to create shared foundations, streamline our architecture and unlock new experiences for our users and partners. What You Will Do Lead the technical strategy, architecture, and development of systems that enable and enhance partner and platform experiences across devices and integrations Drive complex technical initiatives that span multiple studios or a full mission — particularly where coordination cost, architectural sprawl, or competing local optimizations are part of the problem Create leverage by unifying fragmented approaches, retiring duplicative systems, and establishing the standards and platforms that enable multiple studios move faster without reinventing foundations — judging where consolidation creates leverage and whe

Spotify’s Subscriptions Mission focuses on converting listeners into lifelong subscribers by delivering seamless, valuable experiences across pricing, packaging, and customer journeys. We build the systems and tools that power acquisition, retention, and overall subscription growth at scale. The Messaging Platform powers Spotify’s communications to over a billion users — from push notifications to emails and in-app messages that connect listeners to the content they love. Within this space, the Paloma squad focuses on message optimization: deciding which message reaches which user, through which channel, and at what moment. We’re evolving how messaging works at Spotify — moving from short-term optimization toward systems that understand long-term user journeys. By combining reinforcement learning approaches with deeper domain signals, we’re expanding how machine learning shapes the entire messaging funnel. What You'll Do Design, build, and ship machine learning models that optimize messaging across push, email, and in-app channels Plan and run A/B experiments in a multi-objective environment, balancing conversion, engagement, retention, and reachability Contribute to reinforcement learning systems that optimize for long-term user outcomes rather than immediate interactions Partner with product managers, data scientists, and engineers to define what success looks like and how to measure it Own the full ML lifecycle, from data and modeling to deployment, monitoring, and iteration Integrate ML models with upstream systems, including domain value signals and oppor

WE'RE HIRING Senior SQL Data Engineer Azure & Snowflake Remote (WFH) Immediate Joiners only Location: Remote Employment Type: Full-Time Immediate Joiners Preferred Salary: Up to 8 LPA (PF Included) Experience: 4+ Years We are looking for a highly skilled Senior SQL Developer with strong experience in Microsoft Azure and Snowflake to design, develop and optimize enterprise data solutions. Must have 4+ years as a SQL Developer, Data Engineer, or Data Warehouse Developer, The successful candidate will have excellent SQL development skills, a strong understanding of data warehousing and data modelling, and hands-on experience building cloud-based data pipelines and analytical platforms. The role involves working closely with data architects, engineers, analysts and business stakeholders to deliver reliable, scalable and high-performing data solutions. Key Responsibilities -Design, develop and maintain complex SQL queries, stored procedures, views, functions and database objects. -Must have 4+ years as a SQL Developer, Data Engineer, or Data Warehouse Developer -Build and optimise data transformation processes for large-scale datasets. Develop data pipelines using Azure Data Factory, Azure Synapse Analytics and related Azure services. -Design and implement data solutions within Snowflake. -Develop Snowflake tables, views, stored procedures, streams, tasks, stages and file formats. -Create and maintain ETL and ELT workflows across Azure, Snowflake and source systems. -Analyse and improve the performance of SQL queries, data pipelines and warehouse workloads. Design dimensional models, including star and snowflake schemas, fact -tables and dimension tables. Implement data quality checks, validation rules, reconciliation processes and error-handling frameworks. -Support data migration and modernisation programmes from on-premises platforms to Azure and Snowflake. -Develop incremental loading, Change Data Capture and Slowly Changing Dimension solutions. -Troubleshoot da

Master in Indian Continental and International Cuisines (Continental/Chinese) plans menu for Cafeteria and banquet events. Schedules and coordinates the work of chefs cooks and other kitchen employees to assure that food preparation Address: Sodexo, 1st Floor, Gemstar Commercial Complex, Ramchandra Lane Extension,Kanchpada,Malad (West), Mumbai Facility: UNILEVER ? INDIA ? CAT Qualification: Not Specified Experience: 1 - 5 years Source: Sodexo India | Job Code: IJP576678

Requirement Senior Cook We are looking for an experienced Senior Cook with expertise in multiple food preparations and strong knowledge of food cost control. Required Skills South Indian cuisine la carte menu preparation Sweets and desserts Snacks and starters Food cost control and portion management Menu planning and ingredient utilization Maintaining food quality hygiene and safety standards The candidate should be capable of handling multiple food preparations independently controlling food costs minimizing wastage and maintaining consistent taste and quality. Address: Nayara Energy-Golden Oil Club, RAJKOT DWARKA HIGHWAY, JAMNAGAR Facility: NAYARA ENERGY-GOLDEN OIL CLUB Qualification: 12th Experience: 5 - 7 years Source: Sodexo India | Job Code: IJP584987