Atomicwork is on a mission to transform the digital workplace experience by uniting people, processes, and platforms through AI automation. Our team is building a modern service management platform that enables growing businesses to reduce operational complexity and drive business success. We’re looking for an experienced backend engineer to join our team and help us build our modern service management platform. This is a hybrid position based out of our Bengaluru office . We offer competitive pay to employees and practical benefits for their whole family. If this sounds interesting to you, read on. What you'll do (responsibilities) We’re looking for experienced individual contributors who’ve worked on large-scale products before, and we expect you to ramp up quickly and help us launch our products. Build the foundations for all things Atomicwork. Develop and maintain complex web applications emphasizing usability, performance, and scalability. Design and build enterprise-grade systems. Implement and maintain high-quality applications and show craftsmanship while coding, testing, and deploying. Collaborate with partner teams. Collaborate with cross-functional teams, including design, product management, and backend engineering, to develop and launch new features. Continuously improve our platform. Participate in code reviews and provide constructive feedback to other team members. Stay ahead of the curve. Keep up with emerging trends and technologies in front-end development, and recommend new approaches to improve the user experience. Self-direct your work and co-own the product. You will act like the technical founder of the product and will have autonomy and responsibility to do what’s right for the customer. Solve interesting technical problems. You will use your creativity and skills to solve challenging technical problems. What we're looking for (qualifications) We do not requ
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AI Engineer - Enterprise Search Overview We are looking for an experienced Enterprise Search Lead to build and optimize our multi-tenant enterprise search solution. This role focuses on creating scalable systems that integrate seamlessly with customer environments, leveraging cutting-edge AI and ML technologies. You will design and manage the enterprise knowledge graph, implement personalized search experiences, and drive AI- powered innovations to enhance search relevance and ITSM workflows. What You Will Do: Build and structure our enterprise knowledge graph to organize content, people, and activity into meaningful relationships for better search relevance. Develop and refine personalized ranking models that adapt to user behavior and improve search results over time. Design ways to adapt AI language models to each customerʼs data for enhanced accuracy and context. Explore innovative methods to combine LLMs with search engines for answering complex queries Write clean, robust, and maintainable code that integrates smoothly with multi-tenant systems. Collaborate with cross-functional teams to align search capabilities with ITSM workflows. Mentor junior engineers or learn from experienced ones to grow as a technical leader. What You Should Have 3-5 years of experience working on enterprise search products with AI/ML integration. Expertise in multi-tenant systems and securely integrating with external customer systems. Hands-on experience with tools like Elasticsearch, Solr, or similar search platforms. Strong coding skills in Python, Java, or equivalent languages. A passion for solving complex problems with AI and delivering intuitive user experiences. Important notice for candidates: Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles at Atomicwork. Only apply through official Atomicwork channels. We do not use third-party agencies or individuals who ask for payments in exchange for interviews or offer letter
Staff Engineer - Enterprise Search Overview We are looking for an experienced Enterprise Search Lead to build and optimize our multi-tenant enterprise search solution. This role focuses on creating scalable systems that integrate seamlessly with customer environments, leveraging cutting-edge AI and ML technologies. You will design and manage the enterprise knowledge graph, implement personalized search experiences, and drive AI-powered innovations to enhance search relevance and ITSM workflows. What You Will Do Build and structure our enterprise knowledge graph to organize content, people, and activity into meaningful relationships for better search relevance. Develop and refine personalized ranking models that adapt to user behavior and improve search results over time. Design ways to adapt AI language models to each customer’s data for enhanced accuracy and context. Explore innovative methods to combine LLMs with search engines for answering complex queries. Write clean, robust, and maintainable code that integrates smoothly with multi-tenant systems. Collaborate with cross-functional teams to align search capabilities with ITSM workflows. Mentor junior engineers or learn from experienced ones to grow as a technical leader. What You Should Have 5+ years of experience working on enterprise search products with AI/ML integration. Expertise in multi-tenant systems and securely integrating with external customer systems. Hands-on experience with tools like Elasticsearch, Solr, or similar search platforms. Strong coding skills in Python, Java, or equivalent languages. A passion for solving complex problems with AI and delivering intuitive user experiences. Important notice for candidates: Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles at Atomicwork. Only apply through official Atomicwork channels. We do not use third-party agencies or individuals wh
About the role As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform. Must be a permanent resident or citizen of Singapore. Responsibilities Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile Configuration & Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategy to hit throughput and latency targets. Post-Training & Fine-Tuning: Drive hands-on RL training runs and optimize system design; guide customers through LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production. Strategic Customer Alignment: Act as the primary technical point of contact for aligned strategic accounts — monitoring and optimizing endpoint configurations, helping customers get the most out of the platform, and collaborating to ensure we hit critical milestones. Opinionated Onboarding: Establish direct alignment with strategic customers at onboarding; ensure the right inference and post-training configurations are in place from day one to improve time-to-value. Product Feedback Loop: D
Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge OneTrust is looking for a Senior Support Analyst to join the CORE Platform Support team in Madrid. In this role, you will own complex technical support cases involving integrations, authentication, APIs, messaging, and platform-level functionality. You will act as a trusted technical partner to customers and an escalation point for Support Analysts. You will investigate difficult issues, communicate clearly with customers, collaborate with Product and Engineering, and help strengthen the team’s technical capability through knowledge sharing and mentoring. The CORE team supports customers across areas including Single Sign-On, SMTP, APIs, Data Discovery, Certification Automation integrations, tenant-wide performance issues, integration workflows, and integration requests. Your Mission Own and resolve complex CORE support cases escalated from Support Analysts, taking responsibility from initial investigation through resolution or an effective engineering handoff. Troubleshoot advanced issues across SSO, SAML, SMTP, APIs, integrations, workflows, Data Discovery, and related platform capabilities. Reproduce c
Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or eq
Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure
About the Team DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. The Core Data Platform organization owns all the infrastructure necessary to run an operationally efficient analytical data stack. About the Roles The Data Platform team spans data mobility frameworks, ingestion, infrastructure, tools, and governance. Together, they design and operate scalable compute and ingestion frameworks using technologies such as Spark, Flink, Kafka, Airflow, and modern lakehouse solutions, while also building abstractions and tools that simplify data workflows for engineers, analysts, and ML practitioners. In parallel, these teams establish strong data quality, cataloging, privacy, and compliance standards to ensure trust in analytics and regulatory adherence. As relatively high-impact teams, they offer engineers the opportunity to shape the roadmap, influence core platform decisions, and directly enable DoorDash’s business-critical insights and real-time personalization capabilities. You must be located in San Francisco, CA, Sunnyvale, CA, Seattle, WA, or New York, NY. You're excited about this opportunity because you will… Drive vision & strategy for building the frameworks charter and position it to handle the challenges of a rapidly growing business. Scale the analytical platform for the increasing amounts of data and use cases. You will bring your expertise in building and operating high scale systems with a focus on reliability, scalability and cost efficiency. Collaborate with stakeholders building solutions on top of the platform Foster a positive and supportive work culture, upleveling others. We're excited about you because you have… B.S., M.S., or PhD. in Computer Science or equivalent. 2+ years of industry experience at our I4 level, 5+ years of industry experience at our I5 level Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in th
About the Team DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing data structures and data warehouse architecture, this team serves as the foundation for decision-making at DoorDash. The focus extends to enhancing the developer experience by creating tools that support the organization's high-velocity demands. To lead the growing team of Data engineers we are looking for managers who are passionate about Data and are thought leaders in coaching, guiding and leading teams to make Data a winning edge for DoorDash. About the Role DoorDash is looking for a Data Engineering Manager to guide the development of enterprise-scale data solutions. This manager will also act as a technical expert on all things related to data architecture to empower the greater community of data engineers, data scientists, and DoorDash partners. Your focus extends to fostering an engineering culture of excellence, empowering engineers to deliver reliable, flexible solutions at scale. Additionally, you'll play a pivotal role in building and nurturing a top-performing team, driving innovation and success in a dynamic, fast-paced environment. You must be located in San Francisco, CA, Sunnyvale, CA, or Seattle, WA for this hybrid position. You’re excited about this opportunity because you will… You are a people leader. You thrive in hiring, building, growing and nurturing impactful business focused data teams You are a technology leader. You drive the technical and strategic vision for the embedded pods and foundational enablers to meet current and future needs for scale and interoperability You strive for continuous improvement of data architecture and development process You think of quick wins
Overview: Qsight is a high-growth division of Guidepoint focused on building data intelligence solutions for the healthcare sector. Qsight leverages proprietary datasets and rigorous analysis of alternative data sources to generate actionable insights for top-tier institutional investors, medical device manufacturers, and pharmaceutical companies. The Qsight team develops market intelligence products designed to be highly relevant, accurate, and scalable – delivering superior insights to a diverse, global client base. We are seeking an experienced, motivated Tehnical Operations Engineer to join our growing team. This is a multiple-hats role focused on SaaS/platform operations and tier-2 support for client-facing systems. You will own the administration and reliability of key tools, troubleshoot and resolve escalations with clear documentation, and build lightweight automation and reporting to reduce manual work as we scale. You will partner closely with Customer Success, Product, and Engineering to proactively monitor, support, and improve critical systems. Through practical, creative problem-solving, you will strengthen reliability, accelerate time to resolution, and increase operational visibility. Day to day, you will triage and resolve client technical questions, manage vendor license administration and renewals, and produce reporting that informs operational decisions. This role is a launchpad toward an SRE/Platform Engineering track as you grow into deeper automation, reliability engineering, and systems design work. This is a hybrid position based out of our Toronto office. What You’ll Do: Platform Support Own routine ops and configuration changes for critical SaaS platforms – Including Tableau, Freshdesk, Datadog, and our own client facing and internal portals Configure and maintain Freshdesk portals, routing, SLAs, permissions, integrations, etc. based on business requirements. Automate manual operations with Python, PowerAutomate, and shell scri
About the Team The Consumer Performance Marketing team owns the execution of paid social acquisition across Meta, TikTok, and Snapchat. We operate at scale across the U.S. and Canada, managing complex builds, pacing routines, live optimizations, QA workflows, and experiment cycles that directly impact consumer growth. We work closely with U.S.-based Channel Managers, Creative, Analytics, and Martech, functioning as one integrated performance engine. This requires strong operational discipline, fast signal interpretation, and a mindset focused on translating platform behavior into clear, actionable steps. While the team is execution-heavy, we also influence strategy by shaping testing agendas, surfacing insights, and partnering with platform reps on betas and new product rollouts. It’s a high-ownership environment for operators who thrive in fast, data-driven systems. About the Role This role owns the tactical execution of Consumer paid social campaigns end-to-end. You will build, QA, pace, optimize, and iterate campaigns across Meta, TikTok, and Snap, managing multi-million-dollar budgets with precision. You’ll partner with U.S. teams and platform reps to run experiments, test new bidding approaches, evaluate audience structures, and support creative testing. You will also be expected to diagnose issues quickly, communicate insights clearly, and maintain structurally sound accounts. This position requires someone who can execute with technical depth, think analytically, and move fast — ensuring each optimization ties directly to performance outcomes. You’re excited about this opportunity because you will… Be a part of our first DoorDash team in our Mexico City office! Manage multi-million dollar monthly digital budgets across digital paid marketing channels, working with partners such as Meta, Snap, Google and TikTok to optimize campaign performance and test new products. Learn to operate a world-class acquisition program that brings in millions of orders to D
About the Team The Consumer Performance Marketing team owns the execution of paid social acquisition across Meta, TikTok, and Snapchat. We operate at scale across the U.S. and Canada, managing complex builds, pacing routines, live optimizations, QA workflows, and experiment cycles that directly impact consumer growth. We work closely with U.S.-based Channel Managers, Creative, Analytics, and Martech, functioning as one integrated performance engine. This requires strong operational discipline, fast signal interpretation, and a mindset focused on translating platform behavior into clear, actionable steps. While the team is execution-heavy, we also influence strategy by shaping testing agendas, surfacing insights, and partnering with platform reps on betas and new product rollouts. It’s a high-ownership environment for operators who thrive in fast, data-driven systems. About the Role This role owns the tactical execution of Consumer paid social campaigns end-to-end. You will build, QA, pace, optimize, and iterate campaigns across Meta, TikTok, and Snap, managing multi-million-dollar budgets with precision. You’ll partner with U.S. teams and platform reps to run experiments, test new bidding approaches, evaluate audience structures, and support creative testing. You will also be expected to diagnose issues quickly, communicate insights clearly, and maintain structurally sound accounts. This position requires someone who can execute with technical depth, think analytically, and move fast — ensuring each optimization ties directly to performance outcomes. You’re excited about this opportunity because you will… Be a part of our first DoorDash team in our Mexico City office! Manage multi-million dollar monthly digital budgets across digital paid marketing channels, working with partners such as Meta, Snap, Google and TikTok to optimize campaign performance and test new products. Learn to operate a world-class acquisition program that brings in millions of orders to D
About the Team The Consumer Performance Marketing team owns the execution of paid social acquisition across Meta, TikTok, and Snapchat. We operate at scale across the U.S. and Canada, managing complex builds, pacing routines, live optimizations, QA workflows, and experiment cycles that directly impact consumer growth. We work closely with U.S.-based Channel Managers, Creative, Analytics, and Martech, functioning as one integrated performance engine. This requires strong operational discipline, fast signal interpretation, and a mindset focused on translating platform behavior into clear, actionable steps. While the team is execution-heavy, we also influence strategy by shaping testing agendas, surfacing insights, and partnering with platform reps on betas and new product rollouts. It’s a high-ownership environment for operators who thrive in fast, data-driven systems. About the Role This role owns the tactical execution of Consumer paid social campaigns end-to-end. You will build, QA, pace, optimize, and iterate campaigns across Meta, TikTok, and Snap, managing multi-million-dollar budgets with precision. You’ll partner with U.S. teams and platform reps to run experiments, test new bidding approaches, evaluate audience structures, and support creative testing. You will also be expected to diagnose issues quickly, communicate insights clearly, and maintain structurally sound accounts. This position requires someone who can execute with technical depth, think analytically, and move fast — ensuring each optimization ties directly to performance outcomes. You’re excited about this opportunity because you will… Be a part of our first DoorDash team in our Mexico City office! Manage multi-million dollar monthly digital budgets across digital paid marketing channels, working with partners such as Meta, Snap, Google and TikTok to optimize campaign performance and test new products. Learn to operate a world-class acquisition program that brings in millions of orders to D
About the Team The Consumer Performance Marketing team owns the execution of paid social acquisition across Meta, TikTok, and Snapchat. We operate at scale across the U.S. and Canada, managing complex builds, pacing routines, live optimizations, QA workflows, and experiment cycles that directly impact consumer growth. We work closely with U.S.-based Channel Managers, Creative, Analytics, and Martech, functioning as one integrated performance engine. This requires strong operational discipline, fast signal interpretation, and a mindset focused on translating platform behavior into clear, actionable steps. While the team is execution-heavy, we also influence strategy by shaping testing agendas, surfacing insights, and partnering with platform reps on betas and new product rollouts. It’s a high-ownership environment for operators who thrive in fast, data-driven systems. About the Role This role owns the tactical execution of Consumer paid social campaigns end-to-end. You will build, QA, pace, optimize, and iterate campaigns across Meta, TikTok, and Snap, managing multi-million-dollar budgets with precision. You’ll partner with U.S. teams and platform reps to run experiments, test new bidding approaches, evaluate audience structures, and support creative testing. You will also be expected to diagnose issues quickly, communicate insights clearly, and maintain structurally sound accounts. This position requires someone who can execute with technical depth, think analytically, and move fast — ensuring each optimization ties directly to performance outcomes. You’re excited about this opportunity because you will… Be a part of our first DoorDash team in our Mexico City office! Manage multi-million dollar monthly digital budgets across digital paid marketing channels, working with partners such as Meta, Snap, Google and TikTok to optimize campaign performance and test new products. Learn to operate a world-class acquisition program that brings in millions of orders to D
About the Team The Consumer Performance Marketing team owns the execution of paid social acquisition across Meta, TikTok, and Snapchat. We operate at scale across the U.S. and Canada, managing complex builds, pacing routines, live optimizations, QA workflows, and experiment cycles that directly impact consumer growth. We work closely with U.S.-based Channel Managers, Creative, Analytics, and Martech, functioning as one integrated performance engine. This requires strong operational discipline, fast signal interpretation, and a mindset focused on translating platform behavior into clear, actionable steps. While the team is execution-heavy, we also influence strategy by shaping testing agendas, surfacing insights, and partnering with platform reps on betas and new product rollouts. It’s a high-ownership environment for operators who thrive in fast, data-driven systems. About the Role This role owns the tactical execution of Consumer paid social campaigns end-to-end. You will build, QA, pace, optimize, and iterate campaigns across Meta, TikTok, and Snap, managing multi-million-dollar budgets with precision. You’ll partner with U.S. teams and platform reps to run experiments, test new bidding approaches, evaluate audience structures, and support creative testing. You will also be expected to diagnose issues quickly, communicate insights clearly, and maintain structurally sound accounts. This position requires someone who can execute with technical depth, think analytically, and move fast — ensuring each optimization ties directly to performance outcomes. You’re excited about this opportunity because you will… Be a part of our first DoorDash team in our Mexico City office! Manage multi-million dollar monthly digital budgets across digital paid marketing channels, working with partners such as Meta, Snap, Google and TikTok to optimize campaign performance and test new products. Learn to operate a world-class acquisition program that brings in millions of orders to D
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