Lead Software Engineer Application Platform Jobs

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Role You’ll Play Build the secure, scalable systems that power Mindbody’s wellness platform—helping studios thrive and consumers stay connected to what moves them. Partner with Product, Design, and QA to bring features to life from ideation through deployment, always iterating with the end-user in mind. Design and develop backend services and APIs that are robust, maintainable, and user-friendly. Champion engineering excellence through practices like automated testing, thoughtful code reviews, and effective monitoring. Push for simplicity and eliminate unnecessary complexity, all while delivering reliable, high-quality software that delights users. Contribute to architecture decisions and help shape how microservices interact across a growing, service-oriented ecosystem. Lead with curiosity—seeking feedback, learning from diverse perspectives, and mentoring others along the way. Drive positive change, culture, and collaboration on a team that values autonomy and impact. Experience You Bring Proficiency in .NET Senior-level experience developing backend systems for large-scale platforms. Experience a

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join our agile team to shape and deliver the industry’s premier enterprise Retrieval-Augmented Generation (RAG) platform from the ground up. You will own end-to-end full-stack feature development at the intersection of Data and AI, partnering directly with NVIDIA engineering teams to integrate cutting-edge AI technologies. Operating with a high-impact startup mindset, you will drive scalable architectural solutions that empower enterprise customers with seamless, highly performant data retrieval. WHAT YOU'LL DO Architect & Scale Enterprise RAG Infrastructure : Design, build, and optimize robust full-stack features using Go and Python, ensuring enterprise clients retrieve, process, and query complex data with ultra-low latency. Pioneer Cutting-Edge GenAI Integration : Collaborate directly with NVIDIA engineering teams to integrate state-of-the-art AI tooling and model acceleration libraries, expanding platform capabilities across the evolving GenAI ecosystem. Drive End-to-End Product Ownership : Lead features from concept to production deployment—developing intuitive frontend interfaces and resilient backend microservices—to turn complex product requirements into seamless enterprise capabilities. Elevate System Performance & Quality : Establish technical standards, automated testing pipelines, and performance benchmarks to ensure high availability, security, and enterprise-grade reliability across the entir

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... We are looking for an experienced engineer to join the Infrastructure Management and Automation team. In this role, you’ll help shape and build the tools, platforms, and automation that power and manage GoDaddy’s growing infrastructure footprint while leading the design of scalable solutions to complex operational challenges. Our infrastructure platform empowers GoDaddy engineers to help small business customers start, grow, and run their ventures. GoDaddy teams rely on our infrastructure solutions every day, whether for development workflows or hosting production workloads at global scale. If you enjoy solving complex technical problems, designing scalable systems, influencing technical direction, and improving how infrastructure is managed and automated, we’d love to hear from you! What you'll get to do... Lead the design and evolution of GoDaddy’s next generation of infrastructure management platforms and automation systems, taking ownership of complex technical areas from design through delivery and operation Leverage modern engineering practices and AI-assisted development workflows to rapidly design, build, and deliver scalable internal tooling and automation Design and build reliable services and integrations across infrastructure platforms and operational systems, including provisioning, networking, IPAM, DNS, CMDB, and asset management workflows Partner with engineering and operations teams to identify opportunities, shape technical solutions, and improve infrastructure reliability, scalability, utilization, and opera

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role The Verkada Security Team is a software engineering team at its core- we build the right way to do software security. In this role, you will scale Verkada’s security in the SDLC through automation, libraries, tools and frameworks. The role’s broad scope means you will be writing code in a variety of technology stacks and collaborating with engineering teams across Verkada’s Command platform. What You'll Do As a Verkada Builder, you will have a broad scope of ownership and will lead initiatives to eliminate classes of vulnerabilities from Verkada. This includes wearing a PM hat when needed, building experiments and prototypes, driving adoption of your tools, and demonstrating your impact on the organization Build tools to make it easy for Verkada’s software engineers to do the right thing for security as they build products and infra

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : The Control Plane Serverless team builds and operates the orchestration layer behind Elastic Cloud Serverless. Elastic Cloud Serverless is our fully managed offering, built on a stateless architecture that separates compute from storage and scales automatically with customer demand. We build the distributed services that create, configure, scale, and manage the lifecycle of Serverless projects on AWS, Google Cloud, and Azure, and we own Elastic Cloud on Kubernetes (ECK). Our stack is built on Kubernetes, Go, and cloud-native architectures. This is a Principal level role for an engineer who wants to shape where this platform goes next. Elastic is investing heavily in Serverless, building new capabilities for customers and expanding to more regions and cloud providers, while holding a high bar for reliability and security. You will set technical direction for this work, not just execute it. We are a distributed team of skilled engineers across the world. We work asynchronously by default, write things down, share context openly, and give engineers real ownership of hard problems. You will partner closely with our tech lead, engineering manager, and product management, and with teams such as Elasticsearch and Kibana on initiatives that span the whole stack. Day to day, you will shape technical designs and trade-off analyses, write

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Senior Software Engineer, Frontend (Platform - Identity) As a Senior Software Engineer, Frontend on the Identity Horizontal team within the Platform group, you'll own the user-facing experiences for login, signup, OAuth, account security, and multi-factor authentication that every Coinbase customer touches first. This team builds and maintains the frontend surfaces that establish the right level of assurance for every identity, enabling products to ship faster while blocking attackers and satisfying regulators. You'll lead end-to-end frontend delivery across authentication surfaces, drive the Native vs. Webview architecture strategy, and mentor engineers as the team scales. What you'll do: Lead end-to-end frontend projects from design doc through implementation, deployment, and monitoring for login, signup, OAuth, account security, and multi-user/multi-organization support. Author and review technical design documents, breaking down ambiguous, complex initiatives into executable plans for the team. Drive Identity's Native vs. Webview architecture strategy for authentication surfaces, evaluating trade-offs across latency, reliability, and user experience. Identify and resolve technical debt and code quality issues proactively across the team's codebase, not just your own scope. Lead team rituals including on-call, code review, and incident response, and mentor L04 eng

P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Enterprises spend more than $700 billion on digital advertising, however for the most part, they have very little data & intelligence on how their campaigns are performing. Reconciling that is slow, manual, and mostly wrong, and optimizing those campaigns historically has involved humans and agencies. We are building the data and agent layer underneath that problem, and we are looking for an engineer to help lead that effort. The impact you'll have: Lead the ingest and normalization path for advertising platform data at scale, including rate limits, schema drift, backfills, and restated numbers Design the aggregation and identity layers that make figures from different platforms comparable Lead development of agentic workflows that parse performance data, interpret it, present it, and act on it Set the correctness and evaluation bar in a domain where ground truth is noisy and partially observable Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth What we look for: 10+ years of engineering experience, including time as a tech lead or leading other tech leads, on complex enterprise software projects Hands-on experience with walled garden advertising APIs (Meta, Google, Amazon, TikTok) or the equivalent from

P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. CRM is where revenue teams record their work, however they generally lack a solid intelligence layer. Objects are customized past recognition, history is incomplete, and reps route around whatever slows them down. As a result, the sales intelligence layer increasingly lives in a Data+AI platform. We are looking to productize with data & agents what our customers have been already manually building in our platform. The impact you'll have: Lead the modeling of sales/CRM objects, relationships, and history into a representation agents can reason over reliably Lead development of agents used by reps, sales management, and revenue operations Define the write path back into the system of record: permissions, validation, idempotency, audit, and human approval Help define & lead the implementation of the initial use cases on top of the data & agents Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency What we look for: 10+ years of engineering experience, including time as a tech lead, or leading other tech leads, on complex enterprise software

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. As a Senior Software Engineer on the Vanta for Government team, you'll set the technical foundation for Vanta's expansion into the public sector: designing the systems, patterns, and architecture that will power compliance programs from the ground up for government vendors and agencies. The Vanta for Government team is building and evolving Vanta's AI-powered platform for government vendors, federal agencies, and State, Local, and Education (SLED) organizations. Our mission is to make government compliance not easy, but easier: helping organizations automate the heavy lifting across complex frameworks like FedRAMP, CMMC, and NIST, strengthen their security posture, and support mission-critical work with greater confidence. You’ll work directly alongside early design partners to shape new capabilities in real time. We’re growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as a Senior Software Engineer at Vanta: Lead complex projects with multiple stakeholders and engineers to deliver significant impact to our government product line, designing systems that adapt Vanta's core compliance platform to meet the demands of federal agencies, government vendors, and SLED organizations Lead the design and build of net-new product capabilities — including core compliance workflow features that don't yet exist in Vanta's product today — working alongside early design partners to validate and iterate as requirements evolve Partner with

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the role We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search. Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorit

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the role We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search. Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorit

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the role We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search. Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorit

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the role We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search. Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorit

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the role We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search. Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorit

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the role We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search. Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorit