Application And Web Security Specialist Jobs

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a talented and passionate Staff Software Engineer for our Snowpark Container Service , part of our Snowflake Compute Platform - to build our elastic, high-scale, high-performance, cloud native compute platform to enable bringing Compute to Data effortless and simple. Snowpark Container Services is a fully managed container offering that helps our customers easily deploy, manage, and scale containerized applications without having to move data out of Snowflake. As a fully managed service, it comes with Snowflake security, configuration, and operational best practices built in. You will be part of this highly productive, fast moving, and growing team that is critical to realizing Snowflake’s Data Cloud Mission. AS A STAFF SOFTWARE ENGINEER, YOU WILL: Design and develop features, understand customer requirements and meet business goals. Lead a team of engineers, including mentoring and guiding them, and build technical direction and strategy for large and critical parts of the product surface area. Manage all aspects of the Project, including Design, Coding, Reviews, Testing, Observability, Tooling and On-Call support. Build highly reliable and fault-tolerant software to meet the needs of the largest customers. Ensure operational readiness and maintainabilit

DR ASHWANI KUMAR VIJ : have been retained by a growing and professionally managed Logistics and Courier organisation to select one : Networking / IT - Manager. Desired Profile : Candidate will be responsible for planning, budgeting and executing, ERP Implementation, network and Data security, IT Infrastructure, vendor development and management and building IT applications with knowledge of Cloud Architecture. He must possess the ability to propose and define IT Strategy and align it to the growing business requirements of the organisation. Experienced Professionals from service Industry would be Preferred. Qualifications : M.Tech / B.Tech / BE - Computer Science / Electronics or MCA, Preferably from Premier Institute Experience Preferred is : 8 to 10 years. Excellent Salary Package would be offered to the right candidate. Age Desired Between 30 to 35 Years. Those who have applied earlier need not apply again. WFH Option is available. DR ASHWANI KUMAR VIJ : President : Sales Recruitment Email Complete/Structured CV, with Scanned copy of Visiting Card, Salary Drawn / Expected details at:

Votiko Solutions Private Limited is expanding its Amazon DSP Operations Team and is looking for experienced professionals with hands-on Amazon DSP Hiring & Onboarding experience. Work From Home (Permanent) US Night Shift 6 Days a Week Salary: Starting from 25,000/month (Best compensation for the right candidate) Monthly Performance Incentives: Up to 20,000 Key Responsibilities Driver applicant screening & calling Interview scheduling with Amazon DSP clients Candidate follow-ups & onboarding coordination Amazon Portal onboarding Background Checks & Drug Tests ADP onboarding I-9 & E-Verify processing ATS, Google Sheets, LinqOps & internal system updates Candidate record management & client coordination Eligibility Minimum 6 months of hands-on Amazon DSP Hiring & Onboarding experience Experience with Amazon Portal, ATS, ADP, I-9 & E-Verify Knowledge of Background Check & Drug Test processes Good English communication skills Ability to work independently from home Why Join Votiko? Permanent Work From Home Attractive salary & industry-leading incentives Long-term career growth & internal promotions Opportunity to work with multiple Amazon DSP companies across the USA Supportive and professional work environment Important: Please apply only if you have at least 6 months of hands-on Amazon DSP Hiring & Onboarding experience. Applications without Amazon DSP experience will not be considered. Apply now by sending your resume to:

The VAPT Lead will be responsible for leading the vulnerability assessment and penetration testing (VAPT) initiatives across the organization. This role involves managing the entire VAPT process, from planning and scoping assessments to executing and reporting on findings. The VAPT Lead will collaborate with other cybersecurity teams to identify, assess, and mitigate vulnerabilities in the organization’s infrastructure, applications, and network environments. The VAPT Lead is a key player in improving the security posture of the organization by providing in-depth security testing and actionable insights to prevent potential cyber threats. Source: Adani Group | Job ID: 56580

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 to ship AI products. THE ROLE We’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications. You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Model Performance team: Baseten Embeddings Inference: The fastest embeddings solution available The Baseten Inference Stack Driving model performance optimization RESPONSIBILITIES Core Engineering Responsibilities Design and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routing Write and optimize code using CUDA, PTX assembly, and architecture-specific techniques Apply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlap Performance & Innovation Impl

Our mission: Creating the freedom for SMEs to succeed in business and beyond, by delivering Europe's leading finance workspace. Our journey: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 600,000 customers with a team of 1,600+ Qontoers across Europe. Our beliefs: We evaluate applicants based on skills and potential — no boxes to tick. Our team is 55% international, 44% women, and 20% parents. Discover the steps we took to create a discrimination-free hiring process. ⭐ Mission Join us as a Freelance Full-Stack Engineer to build one of Qonto's first internal applications: a modern, high-quality People platform that transforms the daily experience of 1,700+ Qontoers - from compensation cycles and performance reviews to everyday HR workflows. You'll work hand-in-hand with Mélodie, our Head of People Systems, on a high-ownership mission: co-define the product vision, design the architecture, and ship to production. This is not a staff-augmentation engagement - it's a mandate for someone who builds like an owner. 👩‍💻🧑‍💻 As a Freelance Full-Stack Engineer, you will • Ship the People platform MVP by December 2026: migrate key Workday modules into a custom internal app (React for the front, Go for the back) that handles comp cycles, performance reviews, and daily HR workflows for 1,700+ Qontoers - on time and with zero compromise on quality. • Co-define the product vision and roadmap with Mélodie: run user discovery with People teams, challenge specs, and help decide what gets built first - not just how to build it. • Design for security and compliance from day one: architect systems that handle sensitive People data (GDPR, access controls, data residency) with the rigor the context demands. • Ship faster with AI: leverage AI tools (Cursor, Claude Code, Copilot…) in your daily workflow and build AI-enabled features where they create real leverage for the People team. • Enable long-term adoption: document your work, r

About Datadog: Datadog is the world-class monitoring and security platform for cloud applications. We’re dedicated to creating, developing, and supporting our product and customers, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Built by engineers, for engineers, our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term. The Team: Datadog's Finance team collaborates with teams across the organization, providing commercial, operational, and analytical support to ensure that Datadog's business continues to grow as rapidly and efficiently as possible. The Opportunity: We are seeking a Senior Revenue Accountant to join our growing Finance team at Datadog. As a member of the finance team, the Senior Revenue Accountant will be a key member of the team in developing more efficient revenue / billing data flow and close processes and be on the front lines of supporting the rapid growth of the Company. You Will: Work closely with the broader finance team to support the finance operations, accounting and compliance function for our business. Complete month-end close responsibilities including preparing journal entries, balance sheet reconciliations, and supporting schedules. Prepare memos and analyses surrounding revenue recognition under ASC 606 for more complicated billing arrangements Assist in calculation of key internal revenue metrics and invoicing during month-end close. Generate and issue prepaid and monthly invoices issued in arrears. Help customers understand their bills, which vary with usage and plan type. Effectively detect, communicate and work to resolve customer bi

This new team will architect the platform foundation and infrastructure that enables a "build once, run anywhere" model, ensuring our AI-powered modernisation suite operates seamlessly regardless of a client's security or network constraints. We are looking for engineers to join this high-visibility initiative, where you will solve unique distributed systems puzzles and help shape the future of how global enterprises leverage GenAI. We are looking for an experienced software engineer who thrives on solving infrastructure constraints and building enterprise facing platforms. The ideal candidate is a hands-on technical leader who can architect complex distributed systems, mentor engineers, and collaborate with product teams to deliver a platform that minimizes deployment friction and meets customers’ compliance requirements. This role can be based out of our Gurgaon office or Remotely in India. The ideal candidate for this role will have 8+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results Deep experience designing distributable applications that run in air-gapped or highly restricted network environments Strong proficiency in containerization and orchestration, with the ability to design systems where the host executes containerized applications under strict security monitoring Experience building Service Host architectures that provide shared routing, proxy layers, and API gateways for multiple underlying services Experience managing persistent storage solutions (blob/file storage) within distributed systems Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation Experience designing auto-update mechanisms for software that cannot directly access the public internet Curiosity,

Join the Atlas Search Query team to design and develop the next generation of Search query architecture, optimization, and execution. Atlas Search is a growing cloud service that allows users to execute complex search and vector search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search. Our product is being adopted quickly and there are many interesting projects. This is a technical role where you will be responsible for the success of complex Search Query feature development. We are looking to speak to candidates who are based in San Francisco, CA for our hybrid working model. What You’ll Do Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search aggregation framework within the MongoDB aggregation framework. Set project level strategy, architect features, and lead projects to successful execution Identify, design, and implement features enhancing our query language, performance, and operability Perform code reviews with peers and make recommendations on how to improve our software development processes Influence and grow team members through active mentoring and leading by example What We Look For 5+ years experience in data management/search systems, ideally with a strong query processing and optimization background Experienced in the development and maintenance of stateful distributed systems Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others Experienced in debugging and profiling multithreaded applications written in Java and Rust Bonus: experience with designing high-volume query engines, such as a datab

Join the Atlas Search team to design and develop the next generation of Semantic and Vector Search infrastructure. Atlas Search is a growing cloud service that allows users to execute complex search and vector search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search. Our product is being adopted quickly and there are many interesting projects. This is a technical role where you will be responsible for the infrastructure and features enabling our at-scale cloud service powering vector and semantic search. We are looking to speak to candidates who are based in the San Francisco Bay Area for our hybrid working model. What You’ll Do Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search deployment framework within the MongoDB managed cloud Set project level strategy, architect features, and lead projects to successful execution Identify, design, and implement features enhancing our reliability, performance, security and efficiency Perform code reviews with peers and make recommendations on how to improve our software development processes Influence and grow team members through active mentoring and leading by example What We Look For 5+ years experience in data management/search systems, ideally with a strong distributed systems and infrastructure background Experienced in the development and maintenance of concurrent, stateful services Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others Experienced in writing features, debugging and optimizing multithreaded applications written in Java Familiarity with LLM

MongoDB seeks an experienced Software Engineer to help level up IT and launch a new engineering team. This team will work alongside the Internal Engineering department, building enterprise-grade software to enable coworkers to be more effective and efficient. As a Software Engineer, you’ll be contributing to internal tools and platforms, helping design, build, and maintain software that supports critical workflows across the organization. Our ideal candidate Has 2-5 years of professional software engineering experience Experience with a modern programming language (Python, Go, Rust, etc.) Excellent communication skills and a strong desire to solve complex technical problems Comfortable working with modern infrastructure and delivery systems, including containerized applications, Kubernetes, and CI/CD tooling (e.g., Drone.io or similar) Collaborative, detail-oriented, and passionate about developing usable software Bonus Round Experience building full-stack applications, from front-end UIs to backend API handlers to DB migrations Knowledge of any of the following technologies: Next.js, FastAPI, React Position Expectations Build and maintain internal tools and platforms to improve workflows and efficiency Write clean, maintainable code to fix bugs and add new features Collaborate with other engineers and teams to prioritize work and deliver high-impact solutions Success Measures In three months, gain familiarity with internal platforms and workflows, contributing meaningfully to ongoing projects In three months, reduce manual friction for internal processes by delivering functional features or improvements In six months, implement tooling or enhancements that significantly improve internal engineering efficiency and productivity About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva

About the Team OpenAI’s Strategic Finance organization provides financial insights and guidance to support the company’s long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and GTM to allocate resources to the highest-impact opportunities while protecting sustainable unit economics. The Applications Technology Strategic Finance team partners closely with Product to scale core offerings and bring new products to market. We lead revenue forecasting and performance management across the product portfolio, including economic margins, pricing, and partnership deal pricing and structuring. About the Role We are hiring on our Strategic Finance Partnerships team to drive strategic decision-making across OpenAI’s growth and media partnership portfolio, focused on our consumer business. This role will be a critical finance partner to Partnerships deal leads and Product owners, responsible for evaluating, pricing, and structuring partnerships, and translating partner opportunity into decision-ready economics and performance management. The role will be hands-on in deal evaluation, negotiation support, and portfolio oversight. You will shape how OpenAI approaches partnership unit economics, measurement and incrementality, and how partnership performance is incorporated into forecasts and planning. This role is based in San Francisco, CA, with a hybrid work model (3 days/week in-office). Relocation assistance is available. In this role, you will: Own financial evaluation for growth and media partnerships, including modeling revenue, margin, compute, and payback to support decision-making and negotiations. Develop clear economic frameworks and deal guardrails (pricing floors, rev-share structures, caps, minimum guarantees, performance-based terms) to protect long-term unit economics. Partner closely with Product and Partnerships to define and measure incrementality and ensure contract terms align with measurable outcomes. Lead partnershi

About the Team The Proactivity Research team, within OpenAI’s broader Personal AGI team, is focused on making our models in ChatGPT and future potential products proactive in ways that are truly useful. We're laying the technical foundations for AI that can anticipate what users need in real time, adapt as their goals and preferences shift, and build a deeper, evolving understanding of the person it's helping. About the Role As a Research Engineer / Scientist, you will research and develop improvements to our models’ personalization and agentic capabilities. Our team works on reinforcement learning, dataset creation, evaluations, and other post-training methods. We partner closely with research and product teams across the company to realize the vision of a highly personalized, collaborative, and proactive assistant. We're looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models. An ideal candidate is passionate about product-driven research. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own and pursue a research agenda to improve the proactivity and ability of our models to further user goals. Build robust evaluations for tracking modeling improvements. Design, implement, test, and debug code across our research stack. Collaborate closely with the other research and product teams to influence the shape of technical solutions in the product You might thrive in this role if you: Have a deep understanding of machine learning and machine learning applications. Have a working knowledge of LLM post-training and evaluation approaches Are passionate about, or have experience thinking about, personalization and enabling users to achieve their goals Are comfortable diving into a large ML codebase to debug. Thrive in a dynamic and technically complex environment. About OpenAI