Automation Operation System Engineer Jobs

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What’s The Opportunity? Fin is an AI-first company revolutionizing how customer service is delivered today. Our entire platform is driven by an advanced AI Agent who we call Fin, who blends automation with empathy, setting a new standard in customer support. At Fin, you’ll help shape the future of AI-first customer service, showing our customers the transformative power of artificial intelligence. By inspiring a bold vision and delivering impactful solutions, you’ll make AI-powered support not just possible, but a reality for our customers. About the Role: Fin is looking for an exceptional Solutions Architect to join our vibrant Customer Solutions Team. In this role, you’ll engage directly with our customers as their trusted advisor, playing a pivotal part in defining and demonstrating value across the entire sales cycle. With a natural curiosity, independent thinking, and strong problem-solving skills, you’ll partner closely with Product, R&D, and Engineering to ensure our customers

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Role You'll Play: At Playlist, we're reimagining how technology can foster meaningful, real-world connections. As a Senior Software Engineer on the SmartDesk team, you'll be at the forefront of building an AI-powered front desk assistant that transforms how wellness businesses communicate and operate. Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients Designing and implementing robust web and messaging services that power conversational and workflow automation Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions Architecting scalable systems across frontend, backend, and integration layers Mentoring teammates through thoughtful code reviews and

About the team The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the role As a software engineer on the Fleet High Performance Computing (HPC) team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise. Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure. Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale. In this role, you will: Build and maintain automation systems for provisioning and managing server fleets. Develop tools to monitor server health, performance, and lifecycle events. Collaborate with clusters, networking, and infrastructure teams. Partner with external operators to ensure a high level of quality. Identify and fix performance bottlenecks and inefficiencies. Continuously improve automati

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. 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. About Okta Verify Team The Okta MacOS platform team is responsible for building Okta's MacOS Apps and SDKs. The Okta Verify app allows you to securely access your apps via 2-step verification, ensuring that you, and only you, can access your app accounts. It integrates with MacOS system features by communicating with our backend to and grant proper application access. Position Overview As a Senior SET, you will take end-to-end ownership of the test strategy, execution, and quality assurance for the Okta Verify macOS app, filling a critical gap as our existing framework scales to support advanced Apple feature sets. You will work closely with local engineers and cross-functional US-based mentors to design, build, and optimize scalable automation frameworks that completely replace manual testing validation for critical macOS authentication components. This role requires in-depth understanding of macOS system internals, native app archit

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Join our Enterprise Platform team and build the infrastructure foundations that enable the world's largest organizations to run Replit within their security and compliance boundaries. As a Software Engineer on this team, you'll design and implement the deployment flexibility, networking capabilities, authorization systems, and data controls that enterprises require, from single-tenant architectures and private connectivity to custom policy enforcement and customer-managed encryption. You'll work at the intersection of cloud infrastructure and enterprise requirements, partnering with Platform Engineering, Security, and Sales to ship capabilities that unlock adoption at demanding organizations. What You'll Do Build enterprise deployment infrastructure: Design and implement single-tenant and dedicated deployment options, enabling customers to run Replit with the isolation guarantees their security posture requires. Implement private networking capabilities: Build VPC peering, private connectivity, and static IP configurations that allow enterprises to integrate Replit into their existing network architectures. Design authorization services: Build the authorization infrastructure that enforces custom enterprise policies; enabling fine-grained access controls, custom permission models, and policy enforcement that integrates with customers' existing identity and governance systems. Ship data protection features: Implement bring-your-own-key (BYOK) encryption, customer-managed keys, and data residency controls that give enterprises ownership over their most sensitive data. Develop infrastructure automation: Write Terraform modules and automation that enable reliable, repeatable enterprise deployments across reg

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. Atlas Search is a multi-cloud service that allows users to execute complex full text and vector search queries using the MongoDB Query Language . Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team builds and maintains the instances and supporting infrastructure powering Atlas Search. This platform deploys and monitors search deployments, providing a highly scalable yet observable system for customers and engineers. The Atlas Search product is quickly gaining traction with customers and we are shipping core infrastructure components that enable this growth. This role is based in San Francisco, CA with an in-office or hybrid work model. Successful candidates will have the following qualities: 2+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software and automation in complex codebases Experience developing distributed systems and multithreaded applications Familiarity with public cloud platforms, distributed infrastructure, and metric-based development Experience with at least one modern statically typed program

Perforce is a community of collaborative experts, problem solvers, and possibility seekers who believe work should be both challenging and fun. We are proud to inspire creativity, foster belonging, support collaboration, and encourage wellness. At Perforce, you’ll work with and learn from some of the best and brightest in business. Before you know it, you’ll be in the middle of a rewarding career at a company headed in one direction: upward. With a global footprint spanning more than 80 countries and including over 75% of the Fortune 100, Perforce Software, Inc. is trusted by the world’s leading brands to deliver solutions for the toughest challenges. The best run DevOps teams in the world choose Perforce. Position Summary: Perforce is searching for an Enterprise Account Executive to join the team. We are looking for an individual who is an experienced, high-energy sales professional with a proven track record of over-achieving quota. You will drive the revenue for new business, services, and renewals, through effective value selling and relationship development at the Director-level and above. You must be well-rounded in all aspects of enterprise account selling, including the ability to create a significant pipeline in a short amount of time, identify business drivers, and have a command of and deliver the Puppet value proposition. You will need to have experience selling software to large enterprise customers in the Germany & CEE markets, and be well-connected to in-region channel partners. More than 40,000 organizations trust Puppet to innovate through IT infrastructure automation. Puppet helps customers strengthen their security posture, compliance standards, and business resiliency beyond the data center to the cloud.

Payroll Specialist, United States Payroll A Career with Point72’s Finance Team The Finance team provides a broad range of timely, accurate, relevant, and objective financial information, advice, and services to its business partners, with commitment to the highest professional and ethical standards. Our team offers a dynamic and collaborative environment where our colleagues can learn at a fast pace and are rewarded with advanced opportunities both within Finance and across the firm. What you’ll do We are seeking a Payroll Specialist for the U.S. Payroll who will have direct ownership of hands-on payroll processing in addition to providing subject matter expertise and oversight. Specifically, you will: Own end-to-end U.S. payroll processing with minimal supervision, including data gathering, validation, review, and final sign-off Lead complex payroll activities such as multi-state tax calculations, W-2 testing and reconciliation, 401(k) processing, salary variance analysis, and retroactive adjustments Serve as the U.S. payroll subject matter expert, providing guidance on federal, state, and local tax matters and ensuring compliance and accuracy Independently prepare, review, and post payroll journal entries, including accruals, reversals, and adjustments Act as the primary point of contact for payroll escalations, employee inquiries, client questions, and external vendor coordination Partner with Human Resources (HR), Finance, Tax, and Benefits teams to resolve payroll issues, support audits, and manage cross-functional dependencies Review payroll outputs for quality and compliance, proactively identifying, investigating, and remediating discrepancies Drive payroll process improvements, automation, system enhancements, and transitions using tools such as Excel, Workday, and other reporting/automation solutions, while mentoring junior team members as needed What’s required? Bachelor’s degree or equivalent 4+ years of finance, accoun

Data & AI Strategy Consultant – Manager/Senior Manager Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Craft bold strategies. Inspire data-driven transformation. Lead the AI future. The Role Join Capco's Data Strategy & Advisory team as a Manager or Senior Manager, shaping enterprise-level AI and data strategies for the world's leading financial institutions. This is a high-impact role for strategic thinkers passionate about the intersection of data, AI and business value. You will guide clients in envisioning and realising AI-driven competitive advantage—beyond tooling and beyond pipelines—while helping organisations adopt AI-enabled ways of working responsibly, balancing innovation with governance, human judgement and measurable business outcomes. What You'll Do Partner with C-suite clients to define strategic AI ambitions, aligning enterprise data and AI capabilities with business priorities, competitive differentiation and long-term value creation. Act as a subject matter expert on emerging AI and data technologies, advising clients on how to responsibly adopt innovations—including Generative AI, Agentic AI and intelligent automation—to accelerate business outcomes. Lead the definition of enterprise data and AI strategies, identifying high-value use cases and translating them into practical roadmaps that balance opportunity, risk, governance and organisational readiness. Facilitate executive workshops, visioning sessions and strategic decision-making, developing compelling board-level narratives and investment cases while using AI-enabled insights and approved AI tools to enhance analysis and strategic recommendations. Collaborate across Capco's Engineering, Architecture, Risk, Product, Innovation and Data teams to ensure strategic recommendations are actionable, commercially viable and aligned with responsible AI principles. Beyond client delivery, you will also: Contribute to Capco's perspective on how AI is reshaping

Senior Data Architect Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Design the blueprint. Architect the future. Empower data transformation. The Role Capco is seeking a Senior Data Architect to lead and deliver complex data architecture initiatives across our Financial Services clients. In this senior consulting role, you'll guide clients through their data transformation journeys—defining strategy, designing architecture and building scalable, cloud-based platforms. You'll help organisations create modern data foundations that enable advanced analytics, AI and future digital capabilities, while championing AI-enabled ways of working and responsible architecture practices. What You'll Do Lead agile consulting engagements focused on modern data architecture, cloud transformation and the design of scalable platforms that support analytics and AI workloads. Define and implement enterprise data strategies across programmes and business units, ensuring architectures are scalable, secure, governed and ready to support emerging AI capabilities. Design and deliver cloud-native data platforms using AWS, Azure or GCP, leveraging modern automation and approved AI-assisted engineering tools where appropriate to improve delivery quality and efficiency. Drive the integration of data governance, metadata management, cataloguing, privacy and security capabilities, ensuring solutions align with regulatory requirements and responsible AI principles. Act as a trusted advisor to clients, translating complex technical concepts into business outcomes while collaborating with multidisciplinary teams across architecture, engineering, analytics and AI. What We're Looking For Proven experience in enterprise data architecture, cloud data engineering and large-scale platform design within complex environments. Deep knowledge of data modelling practices, including conceptual, logical and physical modelling, with experience designing architectures that support

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineeri

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We're seeking a Senior Product Manager with exceptional product sense to drive the user experience vision for tools at Replit. You'll focus on understanding developer and non-developer needs, designing intuitive AI interactions, and creating delightful experiences that that make coding accessible to everyone. You Will: Define and execute the user experience vision for AI-driven software creation Conduct deep user research to understand developer pain points and workflow needs Design AI-powered features that feel intuitive and magical to users of all skill levels Own user journey optimization from onboarding through advanced AI-assisted development Drive product strategy based on user feedback, market research, and competitive analysis Partner with design teams to create compelling AI interaction patterns and interfaces Who You Are: Obsessed with creating exceptional user experiences and have a track record of building beloved products Deeply empathetic towards developer pain points and make it a point to put yourself in users' shoes Strong at qualitative and quantitative analysis, turning user insights into actionable product decisions Excellent at storytelling and can articulate compelling user narratives and product visions Biased towards execution and learning through rapid iteration and user feedback Required Skills & Experience: 5+ years of product management experience with a track record of building exceptional user experiences Strong product sense and intuition for what makes great developer tools and experiences Experience conducting user research and translating insights into product strategy Deep intuition about AI trends and products, particularly in automation and natural language interf

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Austin, US About the Role Security at Cloudflare is a focused team committed to helping secure both Cloudflare and our customers. The Threat Detection Automation and Intelligence Team is responsible for identifying, understanding and detecting threats to Cloudflare. We are seeking an experienced Threat Intelligence Engineer with experience with machine learning data science to join our proactive security team. This role is a critical

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. What you’ll do: Manage end-to-end release cadences for both DataHub Core (OSS) and our Managed Cloud Coordinate cross-functional teams including engineering, product, QA, DevOps, documentation, and customer success Define Quality Gates: Establish the "Go/No-Go" criteria that ensure every release is rock-solid Build Automation: Design the dashboards and runbooks that turn manual release chaos into a streamlined machine Risk Mitigation: Identify breaking changes and dependency conflicts before they hit production Serve as the central point of contact for all release-related questions and updates Facilitate release retrospectives and drive continuous improvement initiatives Required Qualifications 5+ years of experience in technical program management or release management roles Proven track record of managing complex software releases in fast-paced startup environments Deep understanding of software development lifecycles, CI/CD practices, and DevOps principles Experience with both open-source and enterprise software release models is a strong plus Strong technical background with ability to understand architecture, dependencies, and technical trade-offs Excellent project management skills with proficiency in tools like Jira, Linear, or similar Outstanding commun

The Datadog for Startups (DDFS) program helps the next generation of fast-scaling companies adopt best-in-class observability and security from day one. We're looking for the technical engine of this program - someone who can sit across from a startup CTO, earn credibility in the first five minutes, and help them see how Datadog fits into their stack before they've even finished describing it. You'll be the first technical member on a lean, five-person team, owning the technical motion end-to-end: discovery calls, demos, startup enablement, forward-deployed engineering projects, and representing Datadog at founder events across San Francisco. This isn't a traditional SE seat - it's part solutions architect, part technical consultant, part startup evangelist, and it requires someone adaptable, proactive, and ready to take initiative without being told what to do next. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Run discovery calls with startup CTOs and engineering leads to identify quick wins, validate technical needs, and position Datadog against alternatives like Grafana, New Relic, Sentry, and Clickhouse Deliver tailored Datadog demos and help startups get instrumented quickly - removing friction, showcasing value, and ensuring smooth technical onboarding, particularly around AI/ML observability, infrastructure scaling, and security Build automation to improve internal team workflows - EX: outreach, reporting, the application process, and website updates Represent Datadog for Startups at accelerator demo days, hackathons, conferences, founder dinners, and workshops across San Francisco Build relationships across SF's startup ecosystem - founders, VCs, accelerator partners, and technical communities - and develop thought leadership content for tech