Application Development Technical Lead Analyst Jobs

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Product Okta's Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-0 global service to deliver convenience, privacy, and security so customers can focus on innovation. The Team The Enterprise Management team provides enterprise-ready, centralized governance of the Auth0 resources our customers build on tenants, teams, and dashboard users under a single pane of glass. As customer environments grow in scale and complexity, we ensure secure, autonomous, and frictionless access through tenant-level transparency and access controls that meet or exceed their security policies. We own the full lifecycle of tenants and teams, the management dashboards, and the public APIs that enable enterprise customers to programmatically gove

We are seeking an Engineering Manager to join our growing Gurugram Product & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As an Engineering Manager on this new team, you will be responsible for leading and growing an engineering team, taking 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 Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement Drive the architectural vision for the platform, ensuring it runs equally well on public clouds, private cloud environments and on-premise Work with product managers, program managers, design & analytics teams and other teams to define, prioritize and deliver new features that delight our users and drive platform improvements Take responsibility for the planning and execution of major features, raise delivery risks Own the monitoring, operations, and maintenance of the systems your team develops Enable the team to operate efficiently by removing technical obstacles, coordinating with other teams on dependencies, and prioritizing the team's overall well-being Contribute to planning for organizational growth, including allocation of engineering resources, participate in hiring and assignment of projects Qualifications 8+ years of experience of building distributed systems, and/or foundatio

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performa

NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Generative AI, Data Science applications and Machine Learning (ML) to work with our Hyperscaler partners. In our Solutions Architecture team, we work with the most exciting platform for accelerated computing and drive the latest breakthroughs in artificial intelligence. We need individuals who can enable customer and partner productivity. Our goal is to develop long-lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone who is always thinking about artificial intelligence, someone who can maintain alignment in a fast paced and constantly evolving field. You will be working with the latest NVIDIA technologies coupled with the most advanced CSP infrastructures, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA, our Hyperscaler partners and our end-customers. For this role, the primary focus will be on our strategic partnership with Google (GCP). Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key technical executives and managers to evangelize accelerated computing and Generative AI. Dynamically engaging with developers, researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of challenges and solutions. What You'll Be Doing: Develop and demonstrate solutions based on Hyperscalers and NVIDIA’s pioneering GenAI software and hardware technologies to developers Work directly with key customers and our Hyperscalers partners to understand their challenges and provide the best solutions based on NVIDIA products Perform in-depth analysis and opti

NVIDIA is currently seeking a Solutions Architect Manager for Data Processing! Would you enjoy researching new algorithms and memory management techniques to accelerate data processing on modern computer architectures? Do you like investigating hardware and system bottlenecks, and optimizing performance of data intensive applications? Are you excited about the opportunity to work on the top tier edge of technology with both visibility and impact to the success of a leader like NVIDIA? If so, the Solution Architecture Team invites you to consider this opportunity. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, revolutionized parallel computing, and ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence; join our team today! What you will be doing: In this role, you will lead a data processing SA team to research and develop techniques to GPU-accelerate high performance database, ETL and data analytics applications and new AI data processing technologies. Work closely in China To4++ in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive workloads to ensure the best possible performance of current GPU/CPU architectures. Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA Influence partners (industry and academia) to push the bounds of data processing with NVIDIA’s full product line What we need to see: Masters or PhD in Computer

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team: The Revenue Data Engineering Teams designs, builds and runs the data pipelines and helper systems to accurately and in a timely manner quantify our customers’ usage across all Datadog products. This team is at the leading edge of any new product we release. The Revenue Data Processing team builds and operates the data pipelines that does billing, and cost attribution for all Datadog products. We process terabytes of data daily to power revenue-critical systems and are at the center of every new product launch at Datadog. As a Senior Software Engineer, you will own meaningful parts of a large-scale, mission-critical processing platform — driving architectural improvements, building new billing capabilities, and maintaining the high reliability bar our downstream consumers depend on. You Will: Design and build high-throughput data pipelines for billing and cost attribution Drive platform improvements — latency reduction, Spark optimization, sharding, and cross-datacenter reliability Own root-cause investigations on billing accuracy issues in collaboration with Finance and Product teams Contribute to new billing features Work across Python and Scala, with technologies including Spark, Airflow, Trino, and Apache Iceberg Participate in on-call rotation and maintain a high reliability bar for production systems Contribute to engineering standards and help grow the technical culture of the team You Are: You have significant experience building and operating production data pipelines at scale using Spark and Airflow

Responsible to prepare comprehensive land acquisition documents, ensuring compliance with legal regulations. They maintain meticulous reports, draft letters, applications, land registration and liaising with local village leaders and officials. Their role includes rehabilitation and resettlement execution while minimizing disturbances and ensuring transparency and accountability. Source: Adani Group | Job ID: 52394

Responsible to prepare comprehensive land acquisition documents, ensuring compliance with legal regulations. They maintain meticulous reports, draft letters, applications, land registration and liaising with local village leaders and officials. Their role includes rehabilitation and resettlement execution while minimizing disturbances and ensuring transparency and accountability. Source: Adani Group | Job ID: 30313

Responsible for supporting overall IT operations, project management, stakeholder management, service integration, IT infrastructure management, IT service management, IT applications management, developing IT strategic plans, IT project management, digital projects implementation, network management, IT procurement, IT budgeting, etc Source: Adani Group | Job ID: 56464

To lead the Generative AI engineering initiatives at Adani AI Labs, focusing on developing intelligent agents and sovereign cloud AI solutions. This role drives the architectural design, implementation, and scaling of Generative AI applications that optimize operations across Adani’s industrial sectors, aligning with the vision to deliver secure, scalable, and intelligent digital transformation. The Engineering Manager will oversee a team of backend engineers while remaining actively involved in technical execution. This is an exciting opportunity to lead mission-critical product engineering initiatives and build state-of-the-art AI-driven systems within a dynamic and innovative environment at Adani. Source: Adani Group | Job ID: 44640

私たちは、Datadogの社内プロダクト・エキスパートです。テクニカル・ソリューション・チームは、潜在的な顧客を教育し、既存の顧客を満足させ、成功させることで、Datadogの世界的な成長を可能にしています。私たちは、デモやプレゼンテーション、技術評価、継続的なサポートを通じて、技術や製品に関する専門知識をお客様と共有しています。テクニカル・ソリューションは、知識を共有し、技術的なスキルセットを継続的に向上させるために絶えず協力し合う、成長中のグローバル・チームです。 Datadogでは、人間関係やコラボレーション、そして創造性といったオフィスカルチャーを大切にしています。Datadogが自分に合ったワーク・ライフ・ハーモニーを実現できるよう、ハイブリッド・ワークプレイスとして運営しています。 業務内容： 複数のチャネル（発券システム、ライブチャット、画面共有ツール）を通じて、プラットフォームの活用方法に関するトレーニングを継続的に実施しつつ、必要な技術サポートを特定し問題解決する 技術的な問題を再現し、Datadogの1000+ 以上のインテグレーションを深堀りする デモ認定資格を取得し、顧客への製品デモをリードする 顧客からのフィードバックに基づき、社内チームとの製品に関するディスカッションに参加する Datadog製品分野の高度な知識を持つスペシャリストとしてトレーニングを実施 Datadogオフィスにて週3日以上勤務 募集要項： SaaS企業でのマルチチャネルテクニカルサポート経験者（関連経験2年以上） Zendesk、Jira、Confluence、または同様のソフトウェアの使用経験 トラブルシューティングやプログラミングの経験を持つエンジニア 自発的で、細部にまで気を配り、継続的に学ぶ意欲のある方 クライアント中心のアプローチをデフォルトとする批判的思考を持つ者 文書および口頭での効果的なコミュニケーション能力 プログラミングの経験があり、Linuxの基本的な知識がある 週末を含むローテーション勤務が可能な方 本ポジションでは、ビジネスレベルまたはネイティブレベルの日本語力（会話および読み書き）が求められます。 Datadogは、さまざまな立場の人々を大切にしています。誰もが初日から上記の資格をすべて満たすわけではないことは理解しています。それでも構いません。テクノロジーに情熱を持ち、スキルを伸ばしたいと思っている方は、ぜひご応募ください。 福利厚生と成長機会： 最高のオンボーディング 継続的な専門能力開発、製品トレーニング、キャリアパスの提供 新入社員への株式付与（RSU / 譲渡制限付株式ユニット）および従業員株式購入制度（ESPP） 社内ネットワーク構築のためのメンターおよびバディ・プログラム インクルーシブな企業文化、コミュニティ・ギルドへの参加機会 幅広く手厚い医療関連の福利厚生制度 企業型確定拠出年金（401K） 上記の内容は、就業する国やDatadogでの雇用内容によって異なる場合があります。 世界中のすべての候補者様にご理解頂けるよう、応募情報に関する項目は一部、英語のままで記載されています。全ての求人情報を英語でご確認されたい場合は、 こちら をご覧ください。 About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog

About Supabase Supabase is the open-source backend platform trusted by millions of developers to build web apps, SaaS products, and AI-native applications. Our Partnerships team works across the ecosystem - technology partners, cloud platforms, VCs, accelerators, and startup programs - to make Supabase the default backend for the next generation of companies. About the Role We're looking for a Startup Partner Enablement & Programs Manager to bring our partner ecosystem to life through enablement, events, and programs to raise awareness of Supabase's value proposition to early stage startups. You'll own the materials, playbooks, and activations that help our partners - VCs, accelerators, incubators and entrepreneurship programs - successfully promote and build with Supabase. That includes organizing Supabase's presence at partner and VC-related events, running office hours, hackathons and VIP dinners, and turning relationships into repeatable, high-impact programs. This role sits on the Partnerships team and reports to the Head of Startups, working closely with teammates across the startup program, GTM, developer relations, and marketing. Because the bulk of our events and partner activity is concentrated in San Francisco and the Bay Area, we strongly prefer candidates based there who can regularly attend and host events in person. It's a great fit for someone who loves the operational craft of enablement and programs and wants to work at the intersection of startups, venture, and developer tools. What You'll Do Build and maintain partner enablement materials - decks, one-pagers, playbooks, and activation guides - that help partners across the ecosystem promote and build with Supabase Manage the operational cadence of partner programs: collaborating on strategy, tracking activations, and keeping program logistics running smoothly across partner types Organize Supabase's presence at partner and VC-related events — demo days, founder summits, portfolio workshops, p

Team Frontend within Supabase owns tooling for the marketing/docs website and the core product called “Studio” Its used by millions of developers around the world building insanely cool applications. We live and die by user feedback and relentlessly address issues every day to make the product better! What You’ll Own Ship products 0→1 and then earn the next version from users. You’ll take features from a blank editor to real users in production, then use what you learn (support threads, usage data, direct conversations) to decide what to build next. We want someone who has done this before: launched something, watched real people use it, and improved it on the strength of that feedback rather than a spec handed down from above. Own the quality pipeline, not just the feature. In a world where an agent writes a large share of the code, fast, the CI is what keeps that speed safe. You’ll build and tighten the layered checks that let us move quickly without breaking things: type safety at the boundaries, lint and format, unit and component tests, contract tests against our APIs, accessibility, visual regression, and bundle-size budgets, so a red check tells you (or the agent) exactly what to fix before anything reaches users. Make sure a bug caught once is caught forever. When something slips through, you don’t just patch it. You add the check that would have caught it, at the cheapest stage that can, so the same regression can’t happen twice. Work end-to-end and in the open. Frontend UI, the API contracts it depends on, preview deploys, observability. You’ll operate autonomously across the stack and do it publicly, in a codebase thousands of developers read and contribute to. What You’ll Bring A track record of taking a product from 0→1. You’ve launched something real, put it in front of users, and iterated based on how they actually used it, ideally something you can point us to. Deep frontend fundamentals with strong React. TypeScript and React, plus a real understand

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why this role: The Data Abstractions & Tools team is the group inside North responsible for how users bring their data into the platform and put it to work. We own the systems that let users upload, organize, and share their files and knowledge bases, the framework for extending agents with skills and third-party integrations, and the data-sync pipeline that connects enterprise data sources to North's agents. We are a small team owning a wide surface area, and we need a senior generalist who can move freely across backend and frontend as the roadmap demands. You will pick up any layer of a feature, from API design and database schema to the frontend that sits on top of it, and own it end-to-end. In this role, you will: Design, build,

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why this role: The Data Abstractions & Tools team is the group inside North responsible for how users bring their data into the platform and put it to work. We own the systems that let users upload, organize, and share their files and knowledge bases, the framework for extending agents with skills and third-party integrations, and the data-sync pipeline that connects enterprise data sources to North's agents. North connects to a growing set of external tools and data sources so its agents can act on a user's real workflow. This role owns the integration pipeline end-to-end: adding new integrations to the platform, helping other engineers do the same, and becoming the owner of the process that makes that repeatable. You will also creat