Machine Operator Integrator Jobs

Platform administration isn't the part of the product anyone screenshots for a demo. Nobody's writing a blog post about your identity provisioning flow. But it's the thing every other team at Diligent quietly depends on more than any other dev team in the company and when it breaks, everyone notices immediately. If that kind of quiet, high-stakes ownership sounds appealing rather than thankless, keep reading. This role is for someone who wants real skin in the game: you build it, you ship it, you support it. We're a high-initiative team that improves things we see first and asks permission later, building secure, event-driven microservices in TypeScript on AWS, and treating infrastructure as code the same way we treat application code: with rigor, not as an afterthought. Here's a breakdown of what you'll do (not all of it, just the important stuff) Design and build secure, scalable full-stack services using AWS serverless tech (Lambda, SQS, API Gateway) — with real attention to event-driven patterns and observability, not just "does it work on my machine." Own your services in production. That means building good observability, keeping an eye on alerts, and responding to them before they become bigger problems. Build infrastructure as code with AWS CDK and push for CI/CD that ships safely and often — not "big bang" releases you have to pray over. Design RESTful APIs other teams will actually want to consume: clear contracts, sane versioning, no surprises. Write tests — unit, integration, end-to-end — as part of how you build, not a chore you do after. Show up to architecture discussions with opinions and documentation, not just vibes. Use AI tools to move faster on coding, debugging, testing, and research — but you're still the one who validates the output. These are the essentials you'll need to get an interview 2-3 years of professional software engineering experience in an agile, full-stack-focused environment. Solid full-stack fundamentals: request lifecycles, d

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? This role will focus on evaluating data science and coding tasks, requiring you to review and debug code, analyze model trajectories, and assess data visualization script development and logical flow implementation. Your work will contribute to our model development efforts and the logic our models apply when completing task requests. Please note : This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 40 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract. As a Data Annotation Specialist, you will: Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools. Assess agent trajectories and model capabilities for code generation, tabular and graphic manipulation, and debugging requests. Prompt models to complete complex data science tasks and review the accuracy of generated responses. Label, proofread, and improve machine-written and human-written software engineering-related outputs.

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 Organization Support Experience Engineering builds the technology that powers Stripe's global support operations. Our engineers create the systems and services that support agents worldwide rely on every day to resolve issues for Stripe's millions of merchants and users — at scale, in real time, and across a growing range of channels and offerings. The Case Resolution Platform team owns the core infrastructure and tooling that enables support agents around the world to do their best work. This includes case routing, live channels infrastructure spanning voice and messaging, machine translation, and integrations that connect Stripe's support stack to the platforms agents depend on. What you'll do We're looking for full-stack engineers who want to make an impact on the tools and infrastructure that power global customer support at scale. Our team collaborates with many cross-functional teams — from Infrastructure to Product to Operations — to deliver reliable, high-quality systems that support agents and merchants depend on every day. The team is actively expanding its live channels infrastructure to support new messaging platforms, including in Greater China, requiring collaboration with third-party providers in the region. Responsibilities Design, build, and maintain full-stack services and infrastructure — spanning both backend systems and user-facing tooling — that support agents around the world rely on to resolve merchant and user issues in re

Location : Come and join us in Hamburg or Berlin! Following Lyft’s acquisition of Freenow, we are looking for a Senior TPM to lead the technical workstreams that get us to Day 1 readiness — the period between signing and closing — and to set up the integration that follows. This is a high-stakes, high-visibility role reporting into the EU Tech Leader, with direct exposure to Freenow and Lyft leadership. You will be the single point of accountability for technical Day 1 readiness. That means making sure every employee, every office, and every critical system is ready to operate underFreenow by Lyft from the moment the deal closes — and that the integration stream is up and running the day after. You will also be the TPM accountable for the integration of future acquisitions Freenow makes. This is not a role for someone who wants to administer a project plan. You are expected to be technically credible, opinionated, and comfortable holding senior people to account across IT, Security, Infrastructure, Engineering, Legal, People, and Finance. You make decisions when others stall, escalate cleanly when you can’t, and keep the whole machine moving. YOUR DAILY ADVENTURES WILL INCLUDE: Day 1 readiness. Own the end-to-end technical readiness plan between signing and closing. Define what “ready” means, track every workstream against it, and call the go/no-go on technical readiness for Day 1. IT and workplace cutover. Coordinate identity and system access (SSO, IdP, mail, productivity suite, engineering tooling), hardware provisioning and re-imaging, and office setup including network, VPN, Wi-Fi, meeting rooms, and physical access. Make sure nobody shows up on Day 1 unable to work. Security and compliance posture. Partner with Security and Legal to make sure the technical environment meets the new shareholder’s requirements on Day 1 — access controls, data handling, audit trails, vendor relationships. Integration stream kickoff. Stand up the technical integration workstreams

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. We're a remote-first team spread across time zones, so no office to report to - work from wherever helps you do your best work. Just a couple of things to keep in mind: pay is based on where you're located, and you'll need to keep a home base in the country you're hired in. So while we love the "coffee shop today, mountains tomorrow" life, this isn't a passport-optional, work-from-anywhere-on-Earth kind of remote - think flexible within your country, not borderless. About the Role We are looking for a Revenue Operations Manager to help us scale our GTM operations. This is a high-impact, individual contributor role designed for a modern analytics professional who isn't afraid to challenge the status quo. You will provide deep analytical insights, utilizing AI automation and discovery. You will also develop process and system automation via ai-assisted development. This role sits at the intersection of Revenue Operations and GTM Engineering—your mission is to build a lean, data-driven, and highly automated go-to-market machine that remove

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Team/ Role Paragraph: The Knowledge Systems team builds the infrastructure powering accurate knowledge across customer self-service, internal tools, and AI-assisted support. As Technical Program Manager, you will translate knowledge strategy into technical execution. This is a systems-focused role bridging customer experience, knowledge operations, and technical delivery to build the foundation required to scale support without scaling headcount linearly. What you’ll do: Own technical programs that improve the systems, tooling, and workflows behind customer self-service, internal support knowledge, and AI-assisted discovery (e.g., RAG pipelines, semantic search, and agentic workflows). Drive cross-functional alignment across Knowledge Systems, engineering, product, and partner teams to translate complex knowledge taxonomies and unstructured data into clear technical specifications, APIs, schemas, and execution plans. Lead the planning and delivery of high-leverage initiatives such as workflow automation, knowledge system modernization, CMS improvements, metadata and structure enhancements, and launch-readiness tooling. Partner with Knowledge Systems leads to ensure knowledge is accurate, structured for machine-readability and actionability, ready ahead of launch, and governed appropriately for customer, specialist, and compliance needs. Build and run an

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? This role will focus on evaluating coding tasks, requiring you to review and debug code, navigate repository architecture, and analyze model trajectories. Your work will contribute to our model development efforts and the logic our models apply when completing task requests. Please note : This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 40 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract. Performance incentives included! As a Data Annotation Specialist, you will: Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools. Assess agent trajectories and model capabilities for code generation and debugging requests. Prompt models to complete complex coding tasks and review the accuracy of generated responses. Label, proofread, and improve machine-written and human-written software engineering-related outputs. Report quality and performance trends related to model/agent behavio

Location : Come and join us in Hamburg or Berlin! Following Lyft’s acquisition of Freenow, we are looking for a Senior TPM to lead the technical workstreams that get us to Day 1 readiness — the period between signing and closing — and to set up the integration that follows. This is a high-stakes, high-visibility role reporting into the EU Tech Leader, with direct exposure to Freenow and Lyft leadership. You will be the single point of accountability for technical Day 1 readiness. That means making sure every employee, every office, and every critical system is ready to operate underFreenow by Lyft from the moment the deal closes — and that the integration stream is up and running the day after. You will also be the TPM accountable for the integration of future acquisitions Freenow makes. This is not a role for someone who wants to administer a project plan. You are expected to be technically credible, opinionated, and comfortable holding senior people to account across IT, Security, Infrastructure, Engineering, Legal, People, and Finance. You make decisions when others stall, escalate cleanly when you can’t, and keep the whole machine moving. YOUR DAILY ADVENTURES WILL INCLUDE: Day 1 readiness. Own the end-to-end technical readiness plan between signing and closing. Define what “ready” means, track every workstream against it, and call the go/no-go on technical readiness for Day 1. IT and workplace cutover. Coordinate identity and system access (SSO, IdP, mail, productivity suite, engineering tooling), hardware provisioning and re-imaging, and office setup including network, VPN, Wi-Fi, meeting rooms, and physical access. Make sure nobody shows up on Day 1 unable to work. Security and compliance posture. Partner with Security and Legal to make sure the technical environment meets the new shareholder’s requirements on Day 1 — access controls, data handling, audit trails, vendor relationships. Integration stream kickoff. Stand up the technical integration workstreams

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a member of the SpaceXSI infrastructure team, you will apply your knowledge, experience, and creativity to help design, build, and activate some of the world’s most technically advanced data centers and AI compute facilities. The Construction and Infrastructure team builds the machine that makes the machine—in this case, the hyperscale facilities that power the world’s most advanced AI systems. Process flow, equipment integration, project planning, and detailed department-level metrics and dashboards all fall under the scope of this role. If you like strategic planning, juggling many different priorities, improving processes, and spending your time in a dynamic, fast-paced work environment, then this team may be for you! This role will report directly to the department head and serve as a key resource org-wide. RESPONSIBILITIES: Develop internal visual standards for internal work boards, JIRA queuing, PowerBI dashboards, and department workflow Support department continuous improvement projects such as new process rollouts/standardization Integrate with all levels of the business to understand current workflows and identify systematic gaps Define and develop d

About the Team The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy. Learn more about OpenAI’s approach to safety About the Role As an Analytics Engineer in Safety Systems, you will play a pivotal role in building a data-centric culture, enhancing decision-making processes, and driving strategic initiatives through analytics. You will partner closely with Engineering, Research, and Data Science to develop and maintain canonical data sources and source-of-truth dashboards that enable both people and AI agents across the organization to derive trustworthy, actionable insights. You will own the consumption layer for safety metrics: defining intuitive, reliable ways for stakeholders across Safety Systems, partner teams, and leadership to understand the safety of our products, answer safety-related questions independently, and inform product decisions and company strategy. Most importantly, you will be a core member of the Safety Systems team, collaborating with researchers and engineers to advance our goals of safe, robust, and reliable AI. 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: Design and maintain canonical datasets that serve as sources of truth for safety metrics. Develop and refine data products such as dashboards, reports, agent-enabled workflows, and machine-readable interfaces that empower stakeholders to extract and analyze data independently. Work closely with stakeholders in Engineering, Research, and Data Science to understand their decision-making n

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Software Engineer on the Compute team, you will be the technical anchor for Roblox's GPU and AI accelerator capabilities. This is a battle-tested GPU expert role focused on the machine management layer and above: how GPU hosts are made production-ready, kept healthy, and turned into reliable compute for the workloads that depend on them. You will own the hard problems that show up only at scale, from driver and firmware management to GPU health, reliability, and performance across a rapidly growing fleet of accelerators spanning Roblox data centers and cloud environments. You will set the technical direction for GPU compute and up-level the entire organization's GPU expertise. You will: Serve as the GPU technical leader for the Compute team, partnering across Kubernetes, Machine Bootstrap, Networking, and Cloud to drive GPU strategy end to end. Own the GPU host lifecycle above raw fleet management: driver, firmware, and CUDA stack management, GPU health and telemetry, and remediation of GPU-specific failures (XID errors, ECC, thermal, NVLink and fabric faults). Architect how GPU capacity is exposed to compute platforms, including scheduling, isolation, and integration with Ku

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: We're looking for a leader to build and run Vercel's Product Strategy & Operations function from the ground up. This is a senior, cross-functional role that sits at the heart of the EPD organization and works in close partnership with the CPO, EPD Leads, GTM leadership, and Finance. You will own three things above all else: the rigor that makes our high-velocity shipping machine sustainable, the measurement infrastructure that tells us whether our products are succeeding after they launch, and the planning systems that keep our roadmap and revenue plan sharp, funded, and aligned across the company. This is a strategic leadership position for someone who thinks deeply about product markets and business models, builds world-class operating systems, and uses data to drive decisions that matter. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: Own the EPD rhythm of business: weekly operating reviews, monthly business reviews, planning cycles, and roadmap processes — building minimum viable process for each. Run the ShipOps function to enable Launch Calendar reviews and Vercel’s high velocity “You Can Just Ship Things” approach. Establish a "product landing" framework — a structured post-launch process that goes beyond the ship date to ensure new fe

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. We are looking for a Platform Security Director to lead the engineering of our security infrastructure. Your mission is to build a Security Machine that is as sophisticated as our AI. You will move us beyond traditional "defense" into a "Secure-by-Default" reality, where our multi-cloud infrastructure ( AWS and Azure ) is hardened, automated, and resilient by design. You’ll Own: The end-to-end security strategy across Application Security, Cloud (AWS/Azure), and Platform layers, ensuring a Secure-by-Default framework, as measured by deployment coverage, critical vulnerability reduction, and developer adoption metrics. A unified Security Engineering organization covering AppSec, SecDevOps, and AI Security leadership, collaboration points with adjacent teams (Infrastructure, R&D, Product Engineering), and building and mentoring a high-performing tea

Senior: PLN 260,400 - 352,200 Staff: PLN 350,700 - 474,400 Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level. Location: Gdańsk. This role is not available as fully remote. About the job Build the AI compute libraries that turn next-generation hardware into real performance. As a Staff Software Engineer, you will design and optimise high-performance compute kernels for AI workloads. You will work across linear algebra, tensor operations, numerical correctness and low-level performance. Your work will help customers get more from advanced AI hardware. That means shaping the libraries behind faster, more reliable AI systems at scale. You will write C++ and Python, profile on Linux and make hard trade-offs across memory, threading and numerical behaviour. You will also guide technical direction, review designs and help engineers make better decisions. This role suits someone who wants deep technical ownership without moving away from hands-on engineering. The team and culture You will join the ML Kernels & Runtime team, which builds the compute libraries that expose hardware performance to customers. The work is technical, detailed and close to the machine. Engineers own problems from design through validation, benchmarking and production quality. Decisions are made through evidence, clear technical reasoning and open debate. You will move quickly, speak up when something can be better and help others raise the quality of their work. Leadership here means taking responsibility for outcomes, not waiting for permission. What we’re looking for Excellent C++ and Python skills, with experience building performance-sensitive software Strong understanding of processor architectures, Linux profiling and low-level optimisation Proven technical leadership, including guiding engineering direction, reviewing designs and mentoring others Ability to balance hands-on implem

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors About the Role Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data. The team plays a crucial role in the advancement of autonomous driving systems by ensuring teams have access to high-quality labeled data. This is facilitated by a comprehensive labeling stack featuring a workflow execution framework, supporting infrastructure, and a suite of data annotation tools. Nuro’s autonomy stack utilizes an industry-leading sensor suite. Our tools must handle the efficient processing and annotation of millions of points of sensor data. Our labeling infrastructure supports millions of scenes weekly. The platform team’s mission is to make labeled data accessible for all of our users. The system must be reliable and scalable. This includes everything from request submission to p