Automation Operation System Engineer Jobs

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective. You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office. You Will: Model and Pipeline Automation Automate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices. Build, fine-tune, or use pre-trained LLMs, deep learning models or traditional machine learning models. Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom-built models. Governance & Compliance Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards. Performance Monitoring Continuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation. Incorporate user feedback for iterative improvements and manage necessary model retraining cycles. Cross-Functional Collaboration Act as the "glue" between Data Scientists (who build models

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our mission is to enable effective financial decisions through reliable data, increased efficiency, and automation. We support Marketing, Sales, Seller, Accounting, Tax, Finance and Strategy (F&S), Finance Operations (FinOps), and Treasury functions across automation, data insights, and process improvements. You may work on a wide variety of critical business areas including Seller Systems — Responsible for building the systems and tooling that make sellers and internal revenue teams at Stripe dramatically more productive and effective. We partner with Sales, Finance, Legal, and Product to deliver a single "plane of glass" selling experience that spans deal creation and modeling, negotiation and approvals, contracting, onboarding, and activation. The Seller Systems team composes first‑party, custom Stripe components with best‑in‑class third‑party business systems to deliver configurable, auditable, and globally scalable workflows. Engineers on Seller Systems build services, APIs, integrations, data pipelines, and internal UIs that power seller productivity, reduce time‑to‑activation, improve deal velocity, and enable AI‑driven assistive workflows. Use cases include deal modeling and pricing engines, approval and orchestration platforms, CLM/CPQ integrations, onboarding automation, seller analytics, and AI‑assisted seller tooling. Finance Engineering — Responsible for building the robust and scalable infrastructure that powers

GAQ427R224 We're hiring an AI Automation Engineer to build the next generation of IT automations to improve the employee experience at Databricks. You'll be building production-grade AI agents and automation services that understand employee requests, retrieve enterprise context, reason across systems, invoke tools and APIs, and take action safely. The goal isn't to automate existing workflows the same way we've done it for the past decade. It's to reimagine how employees interact with IT through intelligent, contextual, and increasingly agentic experiences and to do it on Databricks. What you will do Build AI agents and automations: Design, deploy, and run AI agents that support all of our employees. The agents interpret natural-language requests, gather context, select tools, execute actions, and communicate outcomes. Maintain MCP servers across our AI tools portfolio. Build agentic workflows that decompose goals into steps, handle failures, pause for human approval as needed, and resume their workflows. Ground agents in trusted internal knowledge (policies, runbooks, system documentation, SOPs, etc). Turn high-volume support CUJs into self-service experiences: Identify repetitive, high-friction IT interactions and convert them into reliable AI automation experiences. Instrument AI automations with logs, metrics, and feedback loops. Design and implement AI automations with identity governance, tools RBAC, human-in-the-loop approvals where applicable, audit trails, and failure handling. Create shared automation infrastructure (credential vaults, event ingestion, scheduling, approval workflows, cache/state stores) that other teams can build on. Work with IT Support, Employee Experience, Security, IAM, Infrastructure, and Engineering to identify automation opportunities and take solutions from prototype to production. Write and maintain high-quality technical/engineering documentation that clearly communicates system designs, operational procedures, and architectural

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! Why this role? Why this role? We're hiring a People Systems and Automation Manager to own how our People processes actually run, and to automate them. Cohere is scaling fast. Our processes were built for a much smaller company and too many of them still depend on someone remembering to do something. That does not hold at the size we're heading toward. A useful lens; this role sees us scale through systems and leverage, not human effort. This is a hands-on building role. You will redesign processes, build the workflows that execute them across Rippling, Slack, Notion and the rest of our stack, and own offboarding and our employee support model outright. You cannot automate a process well without running one, so you will do both. You will own the outcome, not just the design. You'll join a small HR Operations team during our Rippling implementation, which means greenfield opportunity and real influence over how this function works for the next few years. What you'll do Design the process, then automate it Map how our People processes actually work today, not how they're supposed to Redesign them before automating, so we don't lock

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. Job Description As a Staff / Principal Automation Integration Engineer , you will serve as a senior technical leader responsible for driving factory-wide automation transformation, labor productivity improvements, and advanced manufacturing digitalization across semiconductor manufacturing operations. This role leads the design, integration, deployment, optimization, and production release of complex automation solutions spanning robotics, AMHS, AGV/AMR, ASRS, machine integration, MES connectivity, AI-enabled automation, and smart manufacturing systems. You will partner closely with AT Auto,Manufacturing, Process, Equipment, Operations Improvements, Smart Systems, IT, Facilities, Global Central Teams, and external automation suppliers to identify opportunities, define technical solutions, build business cases, and execute scalable automation initiatives that improve safety, quality, cost, cycle time, and labor efficiency. Key Responsibilities Automation Strategy & Technical Leadership Define and drive site-level automation integration strategies aligned with manufacturing capacity expansion, labor efficiency, quality, safety, and factory modernization objectives. Serve as a senior technical authority for automation ar

About the Team This team builds and operates the systems that enable OpenAI researchers to run reliable, scalable, and efficient research workflows. The team sits close to research and works across infrastructure, systems, and automation to make sure researchers have the tools and environments they need to move quickly. The work spans software engineering, infrastructure, systems administration, cluster operations, and reliability engineering. As OpenAI’s infrastructure evolves from bespoke bare-metal systems toward more standard, scalable platforms, the team needs engineers who can understand how systems work end-to-end and build the right abstractions without reinventing the wheel. About the Role As a Software Engineer on this team, you will build and operate the infrastructure that supports frontier research and critical research-facing systems. You will work on systems that sit close to the metal, but the role is not limited to classic operations or sysadmin work. We are looking for someone who can reason about networking, bootstrapping, Kubernetes, scalability, automation, and reliability - while also writing software to make these systems better over time. This role is a strong fit for an independent, high-ownership engineer who enjoys reliability-heavy infrastructure work but still wants to build. You do not need to come in as a kernel expert or highly algorithmic optimization engineer, but you should be deeply curious about infrastructure, comfortable debugging complex systems, and excited to support researchers doing novel work. We expect you to: Build and operate reliable infrastructure for research workloads and research-facing services. Support and improve systems across data infrastructure, processing, crawl and ingest, caching, search, observability, and clusterwide services. Improve cluster bootstrapping, provisioning, automation, and deployment workflows. Debug issues across networking, compute, storage, orchestration, and service reliability layers.

About Zoox Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do. About Our Part Time Student Worker Program Zoox’s program offers hands-on experience with cutting-edge technology, mentorship from some of the industry’s brightest minds, and the opportunity to make meaningful contributions to real projects. We seek part time student workers who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox’s mission. Project Overview Zoox is seeking a motivated (graduate or upper-level undergraduate) student worker to join our team, focusing on (building and validating a driving risk assessment system, an experimental RAG system for proactively testing autonomous-vehicle behavior) In this role, you will: Design, build, and iterate on an end-to-end RAG pipeline for autonomy validation, owning it from prototype to demo Define and run empirical experiments that "show it with data" rather than relying on assumptions Work through ambiguous, open-ended problems with a researcher's mindset and a bias toward rapid iteration Communicate complex results, trade-offs, and uncertainty clearly to the team and stakeholders Qualifications Currently pursuing a B.S. or M.S. in a relevant quantitative field (Engineering, CS, Physics, Neuroscience, Biology/Computational Bio, or similar) Strong programming skills in Python Solid data manipulation understanding (e.g., SQL, Pyspark, Scala) Solid foundation in machine learning and statistics Comfort operating independently under high uncertainty on open-ended problems Excellent written and ver

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Database Operations is responsible for the deployment and maintenance of the database layer that Palantir’s products depend on. As an engineer on the Database Operations team, you will design how databases are deployed and operated across a wide variety of environments, build the automation and observability that keep them healthy, and respond to the critical production issues that affect some of the world's most impactful use cases. Core Responsibilities Build software that automates the routine work of deploying and running production databases Participate in regular on-call rotations Troubleshoot, diagnose, and remediate stability and reliability issues in production database systems Participate in post-incident reviews and take ownership of follow up actions Identify patterns across incidents, support tickets, and alerts, and translate those observations into proposals for systemic improvements to our fleet Manage and execute large scale migrations of the fleet of databases we run Partner with customer-facing teams during incidents and when setting up new database installations Work with database engineering teams and infrastructure teams to build resilient and highly available database systems Continuously invest in documentation, metrics, monitors and other troubleshooting tools Hold the bar on engineering and operational standards through code reviews, design reviews, and feedback on operating procedures Build deep expertise and experience in production systems (Kubernetes, cloud environments, Cassandra, Elasticsearch, etc.) and share that knowledge amongst

About the Team At OpenAI, we are dedicated to building safe artificial general intelligence (AGI) to benefit all of humanity. Our mission attracts the world’s top talent across research, engineering, product, policy, and operations. OpenAI’s Recruiting Operations (RecOps) team provides the systems, workflows, and data foundation that power hiring at OpenAI. Within RecOps, the Systems & Enablement function owns the recruiting technology ecosystem—ensuring our ATS, offer workflows, and connected tools are reliable, well-governed, and user-centric. About the Role We are seeking a Systems & Enablement Lead, Recruiting Operations to lead improvements across recruiting processes, systems, and enablement. You’ll identify recurring friction, define the underlying problem, and carry solutions from an initial test through implementation, adoption, and a repeatable operating process. You’ll partner with Recruiting leaders, People Systems, and hiring teams to translate hiring priorities into scalable processes and programs. You’ll align stakeholders on the most consequential problems, establish shared operating standards, and lead changes that improve recruiting effectiveness. Success means measurable improvements, sustained adoption, and clear ownership that enables teams to operate independently and adapt as hiring needs evolve. In this role, you will: Lead projects from discovery through adoption, managing scope, milestones, dependencies, and risks. Owning enablement for operational workflow changes, including documentation, training, office hours, and change communication. Supporting offer approval and other sensitive recruiting workflows through clear coordination, followthrough, and exception handling. Identifying recurring support themes and driving fixes through process changes, documentation improvements, automation, or handoff to People Systems. Partnering closely with recruiters, coordinators, People Systems, and cross functional stakeholders to improve workf

We're looking for a Principal Software Engineer to join our CSP Engagements team as the technical focal point for GPU firmware and GPU system software, working directly with engineering teams of key CSP / hyperscale customers to ensure they can reliably manage, update, and operate NVIDIA GPU firmware at fleet scale. You will drive work streams with engineering teams of key CSPs/hyperscale customers to build shared understanding of GPU firmware and system software integration, incorporate their feedback into NVIDIA's feature roadmap and delivery plan, and ensure customer-side automation and recovery procedures are ready before each firmware release. Your cross-CSP visibility enables you to identify patterns in GPU firmware operational challenges that drive systemic improvements no single customer engagement could surface alone. What you'll be doing: Drive GPU firmware & siftware work streams with CSP engineering teams — ensuring they understand GPU firmware architecture (VBIOS, InfoROM, microcontroller firmware), update sequencing, recovery procedures, and GPU power management Gather and synthesize CSP feedback on GPU firmware/software — covering manageability, observability, security requirements (e.g., multi-tenancy isolation, secure boot, attestation), and performance — and champion those priorities into NVIDIA's GPU firmware/software feature roadmap and delivery plan Drive GPU firmware update orchestration for large-scale deployments — multi-GPU update sequencing, rollback strategy, failure handling, and validation across hundreds of GPUs per rack Serve as the technical focal point between NVIDIA and CSP firmware/software engineering — ensuring GPU behaviors (error recovery flows, thermal protection, power state transitions) are well-documented and accessible for customer integration Identify cross-CSP GPU SW/FW issue patterns — common update failu

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 As an AV Engineer focused on Platform & Automation, you'll build and own the software layer of Anthropic's collaboration systems — the tools, integrations, and engineering practices that let a small AV team support a fast-growing global office portfolio. Our rooms, event spaces, and broadcast systems are increasingly managed through APIs and code: device management platforms, DSP and control systems, conferencing administration, ticketing, and paging. Your job is to turn that surface into reliable, team-owned tooling, and to bring software engineering discipline to how we build and maintain it. You can expect a lot of your time writing, shipping, and operating code — fleet health monitoring, automated room testing and ticketing, integrations between our AV platforms and IT systems, and the internal tools that AV Engineering, AV Operations, and Events rely on every day. You'll also help own the administration of the software platforms we already run, and set the standards for how the team version-controls, reviews, tests, releases, and maintains everything from DSP designs to firmware to internal services. Responsibilities Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office Develop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically Build integrations across device and platform APIs — Q-SYS (including plugins and Lua control scripts), Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google

Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties. At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset. As we continue to scale our global platform, the Engineering Manager, Financial & SCM Systems will play a critical role in owning and evolving our financial and operational technology stack to drive AI-led transformation and business performance. ROLE OVERVIEW We are looking for an AI-first Engineering Manager to own and evolve our Financial Systems capability, spanning our full financial and operational technology stack — ERP, order management platforms, procurement, payment systems, and the integrations that connect them. This role leads a team of SDEs, Technical and Business Systems Analysts while serving as the strategic bridge between Finance, Supply Chain, Operations, and Engineering — driving AI-led productivity and transformation as a core expectation, not a future initiative. The Engineering Manager, Financial & SCM Systems delivers business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights. HOW WILL YOU DRIVE IMPACT Success is measured by the ability to deliver results through BOLD capabilities and measurable outcomes. Team & Leadership Impact (Build Championship Teams) Cross-Functional Leadership: Partner with Finance, Supply Chain, and Operations to trans

About the Team DoorDash's MarTech Operations team is the connective tissue between our Retention Marketing organization and the tools, systems, and data that power it. As a Senior Associate focused on QA Automation, you'll own the quality backbone for how we build, test, and ship marketing campaigns across DoorDash audiences. About the Role You'll lead the expansion of our QA automation tooling, drive the shift from manual QA to automated QA workflows, help automate the ship review process, and scale multivariate QA and sample testing practices across every audience we serve. This is a highly cross-functional, builder-oriented role for someone who wants to own a strategic quality function end-to-end. You’re excited about this opportunity because you will… Own and expand DoorDash's QA automation toolkit for Retention Marketing campaigns Lead the transition from manual QA to automated QA across all audiences Automate and streamline the ship review process Design and scale Multivariate QA / Sample Testing programs across DoorDash audiences. Partner cross-functionally with Marketing, Engineering, and Data Science to define QA requirements and operational readiness criteria Track and report on QA coverage, defect rates, and campaign quality metrics Build documentation, SOPs, and training that help marketing teams adopt new QA tools and processes with confidence We’re excited about you because… 3+ years of experience in marketing technology, quality assurance, marketing operations, program management, or a similar operational role at a technology company Experience with QA processes for marketing campaigns (peer review, ship review, sample/multivariate testing) or software QA automation Expertise with Retention Marketing technology platforms (Braze, Salesforce, CDPs, or similar) preferred Demonstrated ability to coordinate cross-functional projects – defining milestones, managing dependencies, and keeping stakeholders aligned Comfort working with data to track quality met

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE The Everpure Engineering team builds the industry’s most innovative, high-performance, and highly available portfolio of storage products designed for the most demanding mission-critical applications. While we deliver hardware storage arrays, over 90% of our engineering staff are software engineers. Our customers are the core of our business, and they love FlashArray for its simplicity, continuous stream of upgrades, and ability to stay on the cutting edge without ever experiencing downtime. These innovations enable our customers to leverage the agility of the public cloud across both traditional IT and cloud-native applications. WHAT YOU'LL DO Hardware Design & Leadership: Plan, lead, implement, and debug hardware design and qualification projects from concept through production. Full Lifecycle Participation: Participate in all phases of product development, including architecture design, technical documentation, eDVT, failure analysis (FA), and custom hardware support. Validation & Automation: Define, execute, and automate hardware validation and qualification frameworks to enhance test coverage, efficiency, consistency, and product robustness. Cross-Functional Collaboration: Partner with Software, Operations, Manufacturing Test, and Support teams to seamlessly introduce new storage subsystems into production. Escalations & Root Cause Analysis: Serve as an escalation point for

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As a Staff Site Reliability Engineer (SRE) at GitLab, you’ll help keep all user-facing services and production systems reliable, scalable, and efficient. Our SREs combine a pragmatic operations mindset with strong software engineering practices to drive automation, reduce toil, and improve resilience across our platform. In the Environment Automation specialization, your focus is on operating and automating hundreds of GitLab environments—from initial provisioning to day-to-day maintenance tasks. Unlike other SRE roles, this position centers on automating the lifecycle of many tenant environments, ensuring they remain secur