Production Scheduler Enhancement Engineer Jobs

MongoDB is seeking a Senior Software Engineer to join the Atlas Clusters Organization. The organization is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. Atlas Clusters Security builds the security experience that Atlas customers depend on for mission-critical applications. Across the organization we own cluster networking, data encryption, database authentication, and related controls. This role sits on the Encryption & Compliance team. We own Encryption at Rest with customer-managed keys (Bring Your Own Key) across AWS, Azure, and GCP, including private networking to customer key management systems. We also own the security and compliance work that lets Atlas serve highly regulated markets, including government offerings and internal credential management. You will design and operate these systems in production, lead fleet-wide rollouts, and partner with customers when encryption or key-management issues hit their clusters. We are looking to speak to candidates who are based in San Francisco and would like a hybrid or in-office working model. What you’ll do Build and design new features for MongoDB Atlas Contribute to and lead complex technical projects Work closely with product and design teams, considering the user’s perspective while building technical solutions Work with customers and support engineers to fix issues Collaborate with team members to develop our codebase, best practices, and design principles Learn from and mentor other team members Join an on-call rotation to support Atlas’ production services We’re looking for someone who Has at least 5 years of professional software develop

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for an experienced Silicon Test Engineer to join our Product Test and Diagnosis Department (PTD). This is a pivotal role and will involve building a team of engineers to develop System Level Test (SLT) capability within the company. Working closely with a cross-functional team you will implement SLT tests for a family of next generation AI Processors. The ideal candidate should have a focus on quality and demonstrate a good understanding of the importance of production test on the success of a product. T hey will have a proven Functional Test or ATE Test Engineering background, and will have a pragmatic, hands-on and flexible approach to a fast-changing environment. The Team The Product Test and Diagnostics team’s role is to detect and manage hardware defects that arise from the manufacture and use of our products. This covers chips, boards and finished systems and takes place both in the manufacturing sites and in the field. Responsibilities and Duties Managing a team of

Build effective test automation that helps deliver reliable, high-quality technology through complex application modernization. The Role Capco is looking for a QA Automation Engineer with hands-on experience in SmartBear TestComplete and Playwright to support a major application modernization initiative. You’ll focus on building, maintaining and executing automated tests that help ensure applications continue to perform reliably as legacy technology, dependencies and supporting components are upgraded. Working across Java/Spring applications, Linux and Windows environments, you’ll combine practical automation expertise with established software quality assurance methodologies. This is an intermediate-level, hands-on QA role where you’ll work closely with developers and wider technology teams to identify issues early, strengthen automated test coverage and support the delivery of reliable software throughout the development lifecycle. What You’ll Do Build, maintain and execute automated tests using SmartBear TestComplete, ReadyAPI and Playwright across application modernization and testing activities. Create functional, integration and regression test automation to validate application behaviour, identify defects and maintain quality throughout technology upgrades. Test Java applications built with Spring and Spring Boot across Linux and Windows environments, using Linux shell scripting where required. Collaborate with developers and technology teams throughout the Agile lifecycle, contributing to quality from design and development through testing, deployment and production release. Investigate, document and track defects while maintaining test assets and supporting reliable releases using relevant test management, source-control and delivery tooling. What We’re Looking For 5–6 years of software quality assurance experience, including hands-on test automation experience using SmartBear TestComplete and related SmartBear tooling such as ReadyAPI. Profic

About AiDASH AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection & Monitoring, AiDASH delivers comprehensive visibility across the entire grid at the right frequency and budget, using the right data modality. More than 200 customers trust AiDASH to keep the lights on, spend where it counts, and defend every decision, Securing Tomorrow across every mile of the grid. Learn more at www.aidash.com. The PreventionFirst movement is growing, and so is the recognition behind it. In 2026, Forbes named AiDASH one of America's Best Startup Employers for the 4th consecutive year, and TIME included AiDASH among America's Top GreenTech Companies for the 3rd year in a row. Deloitte Technology Fast 500 ™ ranked AiDASH No. 12 in the San Francisco Bay Area, and No. 59 overall in their selection of the top 500 for 2024. Join us in Securing Tomorrow Together! The Role We are looking for a technical support engineer to join our team in Gurgaon (hybrid) and help keep our production systems healthy through the night. This is a night-shift role, primarily graveyard hours (10:00 PM – 7:00 AM IST), rotating between two team members. You will be the first line of response for production alerts, incident triage and customer-facing technical issues outside regular business hours, making sure AiD ASH products and platforms keep delivering for our customers around the clock. How you'll make an impact: Monitor application health and respond to alerts across production systems during your shift Own incident management – identify, triage and drive incidents to resolution, escalating to the right team when needed Investigate issues using logs and database queries to find the root cause Track tickets against SLA commitments and flag anyth

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. We are looking for an inspirational and hardworking person to join the Platform Hosting Cloud Security Engineering team at SIE! You'll be joining a team of innovative engineers who are unified in their mission to make PlayStation the best and most secure gaming platform. This support is fulfilled by minimizing impact to the platform while ensuring security needs are met. This role is highly technical and requires a shown grasp of security principles and how they are applied to production environments. You will assist in the planning, design, development, testing, and management of security tools and processes that provide protection and visibility of our cloud environments. Key Responsibilities Design, architect, and implement security controls and frameworks for PlayStation Infrastructure Be responsible for the detection of security gaps, and lead efforts to mature security tooling and operational processes Work with product and platform teams to define system requirements, engineer, and implement cloud based security applications and controls Write code to automate security processes which seamlessly integrate into code builds and deployments, applying DevSecOps processes and tools Architect, develop, and deploy automation solutions that help audit, secure, and

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale's need to detect and respond to security events across its production and corporate environments is growing as the company scales. We're looking for a Senior Detection and Response Engineer to own detection engineering and to lead incident response when it counts, coordinating the response and driving it to resolution. This is a high-ownership role with real room to shape how detection and response works at Anyscale. You will own the detection pipeline, the response runbooks, and incident response, reporting to the Head of Security and partnering with engineering. This role is based in India. In your first year, success looks like strong detection coverage across our cloud, endpoint, and runtime telemetry, a working correlation and alerting pipeline, and incident response runbooks that have been exercised in practice. What You'll Do Own and build detection coverage across cloud, endpoint, and runtime telemetry. Own a centralized correlation and alerting capability that turns telemetry into actionable detections. Own incident response: runbooks, escalation paths, and coordination during an incident, across corporate and production environments. Drive detection of anomalous activity across the environments

Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. Responsibilities Push search and agent quality forward through improvements to models, training data, tools, and system design. Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. Improve retrieval and ranking models and the search interfaces agents use to find and assess information. Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. Qualifications A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. Experience designing rigorous evaluations

Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. Responsibilities Push search and agent quality forward through improvements to models, training data, tools, and system design. Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. Improve retrieval and ranking models and the search interfaces agents use to find and assess information. Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. Qualifications A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. Experience designing rigorous evaluations

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team Prisma is a newly formed team building the Modeling Library that powers Celonis' Process Modeling Experiences. This library is the foundation for how users create, edit, and visualize process models across the platform. The team works closely with Product, UX, and other engineering teams to turn complex modeling and graph problems into fast, intuitive interactions for our customers. The Role As a Senior Software Engineer on Prisma, you'll help build and grow the Modeling library from the ground up. You'll work on the graph rendering, layout, and interaction logic that lets users model business processes clearly and efficiently, even with large and complex data sets. We're looking for engineers who already use AI coding tools daily and know how to apply them to solve real engineering problems fast, not as a novelty, but as part of how they build production-quality software. The work you'll do Design and build the Modeling library's core components using TypeScript, Angular, and HTML5. Solve complex visualization problems such as fast interactions, dynamic graph layouts, and graph interactions, to Celonis' quality bar Use AI coding tools daily to speed up development and problem-solving on graph layout, rendering, and in

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. Get to Know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. The Engineering Opportunity We are looking for a Site Reliability Engineer II to join Okta’s Emerging Products Group (EPG). Our mission is to build highly reliable, scalable, and secure cloud services that our customers can trust. We embrace an automation-first mindset and continuously invest in platform engineering, observability, and operational excellence to enable our engineering teams to move quickly and safely. This role is ideal for a Site Reliability Engineer who is passionate about solving technical challenges, building automation, and maintaining the reliability of production systems. You will serve as a key technical contributor within the EPG SRE organization, collaborating closely with software engineers and senior SREs to support and improve world-class cl

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's legal team operates at the frontier of some of the most consequential legal and regulatory questions of our time — from landmark copyright matters to first-of-their-kind AI regulatory frameworks emerging across dozens of jurisdictions simultaneously. As we scale, the volume and complexity of our discovery and information governance obligations are growing rapidly. We are looking for a Discovery Technical Operations Specialist to join our Litigation and Regulatory team and help build out Anthropic's discovery operations from the ground up, support active matters, and help drive information governance maturation. This is a unique opportunity to be a part of a critical function at one of the most closely watched companies in the world. You will work hand-in-hand with our discovery leads, litigation and regulatory counsel, outside counsel, discovery vendors, and cross-functional partners such as Security and IT to manage retention, preservation, collection, and production of electronically stored information (ESI) across active matters. Beyond matter-level support and programmatic development of discovery systems and processes, you will also help execute the development of Anthropic's broader information governance program, including data classification standards and defensible disposal practices that keep pace with a rapidly scaling AI company's evolving data landscape. The right person for this role will be equal parts technical operator and operational project manager. Key responsibilities Build and operate discovery operations across the full EDRM lifecycle (preservation, collection, processing, hosting, rev

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a MTB Assembly ES Tech, you will be responsible for maintaining machine OEE and improving machine alarm CIP. Use mechanical and electronic skills to troubleshoot and repair down equipment. Assist with equipment installs and upgrades and create and modify equipment procedures. Requirements: Ability to handle the thinning or dicing tool -steal dicing, laser groove, NCF lamination Understand the tool installation, setup and buyoff Work experience: 3 years above Understand the tool signal is prefer, such as SVID, CEID, ECID...etc Understand to handle the FDC analysis and improve is prefer English: ability to communicate for discussion with supplier Responsibilities and Tasks: Support, repair and upgrade production equipment Perform PM (Preventive Maintenance) and Change Over on production equipment effectively and efficiently Assist Supervisors/Engineers in making quality and reliability improvements Troubleshoot and analyze machine failure mechanism or frequency Minimize equipment downtime through preventive maintenance / fixes Monitor and improve on repair cycle time through continuous improvement effort Involved in Empowerment & Autonomous Maintenance Team activities AI in Job Responsibilities: ​ •Integrates AI-assisted tools and insights into daily work to improve efficiency,

ABOUT TOPGOLF Topgolf is a sports entertainment company that has changed how millions of people experience golf and where you can build a serious career. Our venues are high-energy, high-volume environments where performance matters and results are visible. Every day, we bring together golf, food and beverages, events, and entertainment into one experience that keeps guests coming back. WHAT WE’RE SEEKING Do you hold the line on quality even when it is busy? Can you lead a kitchen team through a high-volume service and still have the team better when the shift ends than when it started? We are looking for a Culinary Manager who leads from the front. Someone who understands food cost and portion control, coaches their team through the work, and takes genuine ownership of the kitchen's performance. Consistency is not lucky. It is what happens when a leader pays attention. If you run a tight, proud kitchen, this is where those matter. WHAT YOU WILL DO Lead Kitchen Operations • Supervise the kitchen team in delivering best-in-class culinary experiences every shift • Coach and develop Team members and drive engagement across the kitchen • Delegate tasks effectively and follow up to ensure completion and quality • Manage day-to-day line operations or events execution as assigned Maintain Culinary Standards • Select and develop recipes to corporate approval and standardize production for consistent quality • Establish and maintain presentation techniques and quality standards • Plan and cost menus for special events and chef-choice occasions • Ensure proper equipment operation, maintenance, and cleanliness Manage Costs and Inventory • Monitor inventory levels and purchase product within budgetary guidelines • Maintain food and labor costs accordin

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a PDE MRDA KEG Engineer / Senior Engineer , you will be responsible for developing, qualifying, deploying, and sustaining advanced defect inspection and metrology solutions that support New Product Introduction (NPI), HBM technology ramps, and High Volume Manufacturing (HVM). You will drive inspection capability readiness, equipment performance improvement, and defectivity reduction through close collaboration with cross functional team. The role requires strong expertise in semiconductor manufacturing, defect inspection technologies, data analytics, equipment qualification, and cross-functional problem solving to enable industry-leading process control and yield performance. Inspection Technology & Equipment Ownership Manage advanced inspection and metrology platforms throughout package development and manufacturing. Develop technology roadmaps and capability strategies to meet future packaging requirements. Drive equipment lifecycle management, capacity planning, and technology insertion activities. Equipment Qualification & Deployment Lead tool installation, qualification (TIQ), release, and production readiness activities. Establish equipment acceptance criteria, qualification methodologies, and deployment pla

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build cloud-native data and storage services for hybrid and multi-cloud infrastructure, including dataset discovery, ingestion, governance, checkpointing, observability, and low-latency access. Develop scalable cloud-native services and APIs that support exabyte-scale, high-performance GPU training and inference workflows. Work closely with product managers, internal AI teams, platform teams, and partner engineering teams to understand requirements and turn them into reliable production systems. Collaborate with SRE, operations, and support teams to improve service reliability, performance, observability, on-call readiness, and operational scale. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, and verification. What we need to see: BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience, with 5+ years of software engineering experience. Strong foundation in algorithms, data structures, distributed systems, and practi