Server Jobs

Role Overview The worldwide data management software market is massive (forecasted to be approximately $82 billion in 2023, growing to approximately $137 billion in 2027). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Technical Services Engineers use their exceptional problem-solving and customer service skills, along with their deep technical experience, to advise customers and solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem; database server, drivers, cloud, and infrastructure, including services such as Atlas (database as a service) or Cloud Manager (for automation, backup, and monitoring of MongoDB systems). We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. We are looking to speak to candidates who are based in Bangalore for our hybrid working model. Position Expectations Working alongside our largest customers, solving their complex challenges, resolving questions on architecture, performance, recovery, security, and everything in between. Expert resource on best practices in running MongoDB at scale, whatever that scale may be. Advocate for customers' needs, interfacing with our product management and development teams on their behalf. Contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. Qualifications We welcome all candidates, especially those who are self‑taught, curious, and multi‑faceted, with 3 - 5 years of relevant experience. The ideal candidates should have: &lt

MongoDB Atlas is the premier multi-cloud database-as-a-service built and operated by the makers of MongoDB. The Cloud Operations Engineering team at MongoDB is a worldwide team responsible for the consistent operational success of every MongoDB Atlas customer. As a Cloud Operations Engineer, you will help ensure the success of our Atlas customers, whether they are early startups or large multinational companies, cloud-native or just getting started with a digital transformation to the cloud. You are excited about the core mission of MongoDB, and the opportunity to join the team responsible for operating Atlas, the fastest-growing multi-cloud database-as-a-service in the world. You are prepared to be one of the early members of a 24/7/365 global cloud operations team. Cloud Operations Engineers will be responsible for day-to-day duties such as creating and monitoring system’s alert dashboards, reviewing critical events and system logs, accessing customer instances that underpin their production databases and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escalate issues that are sometimes broad in scope and difficult to trace. At MongoDB you will grow your career and skills, wear multiple hats, and be part of an operations team that works at the frontier of Cloud services and database systems. We are looking to speak to candidates who are interested in working out of our Dublin or Cork office under our in-office working model Monday to Friday. Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one’s normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability. Responsibilities Successfully coordinate and collaborate with a global team of Cloud Operations Engineers wh

MongoDB Atlas is the premier multi-cloud database-as-a-service built and operated by the makers of MongoDB. The Cloud Operations Engineering team at MongoDB is a worldwide team responsible for the consistent operational success of every MongoDB Atlas customer. As a Cloud Operations Engineer, you will help ensure the success of our Atlas customers, whether they are early startups or large multinational companies, cloud-native or just getting started with a digital transformation to the cloud. You are excited about the core mission of MongoDB, and the opportunity to join the team responsible for operating Atlas, the fastest-growing multi-cloud database-as-a-service in the world. You are prepared to be one of the early members of a 24/7/365 global cloud operations team. Cloud Operations Engineers will be responsible for day-to-day duties such as creating and monitoring system’s alert dashboards, reviewing critical events and system logs, accessing customer instances that underpin their production databases and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escalate issues that are sometimes broad in scope and difficult to trace. At MongoDB you will grow your career and skills, wear multiple hats, and be part of an operations team that works at the frontier of Cloud services and database systems. We are looking to speak to candidates who are interested in working out of our Dublin or Cork office under our in-office working model Monday to Friday. Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one’s normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability. Responsibilities Successfully coordinate and collaborate with a global team of Cloud Operations Engineers wh

MongoDB Atlas is the premier multi-cloud database-as-a-service built and operated by the makers of MongoDB. The Cloud Operations Engineering team at MongoDB is a worldwide team responsible for the consistent operational success of every MongoDB Atlas customer. As a Cloud Operations Engineer, you will help ensure the success of our Atlas customers, whether they are early startups or large multinational companies, cloud-native or just getting started with a digital transformation to the cloud. You are excited about the core mission of MongoDB, and the opportunity to join the team responsible for operating Atlas, the fastest-growing multi-cloud database-as-a-service in the world. You are prepared to be one of the early members of a 24/7/365 global cloud operations team. Cloud Operations Engineers will be responsible for day-to-day duties such as creating and monitoring system’s alert dashboards, reviewing critical events and system logs, accessing customer instances that underpin their production databases and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escalate issues that are sometimes broad in scope and difficult to trace. At MongoDB you will grow your career and skills, wear multiple hats, and be part of an operations team that works at the frontier of Cloud services and database systems. We are looking to speak to candidates who will be based remotely in Ireland. Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one’s normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability. Responsibilities Successfully coordinate and collaborate with a global team of Cloud Operations Engineers who are tasked with ensuring our uptime guarantees to our Atlas customer base

The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to help our customers to be successful with MongoDB. We are looking to speak to candidates who are based in Sao Paulo for our hybrid working model. Cool things you’ll do You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. What you need We consider all can

Cloud Operations Engineers are responsible for building internal tools and process automation. Day-to-day duties are creating and monitoring systems alert dashboards, reviewing critical event and system logs, accessing customer instances that underpin their production databases, and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escalate issues that are sometimes broad in scope and difficult to trace. We are looking for a Lead with strong technical leadership experience as well as technical depth who is looking to collaborate closely with Cloud Operations Engineering Management in building and maintaining a high-performing team that delivers high quality outcomes while fostering psychological safety and professional growth. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Core responsibilities Team leadership: partner with and assist COE Management with the tasks of providing ongoing technical feedback to engineers, support their growth and creating an inclusive team environment Execution and delivery: play a key role in guiding team members through project deliverables ensuring high quality outcomes while also assisting in meeting or resetting timelines when required Time management: between assisting team members with day to day tasks ranging from incident to project management Cross-functional collaboration: work closely with Product, Technical Services and R&D to surface team’s pain points and drive alignment with the goal of providing an excellent user experience to the end customer Coordinate with Lead counterparts within Cloud Operations as well as Technical Services to ensure our uptime guarantees to the MongoDB Atlas customer base Assist and collaborate with the team on scoping, designing, deploying and ongoing maintenance of systems that focus on reducing mean time to resolve customer incidents Detec

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. Required Skills: 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock . 6+ years with modern front-end frameworks (e.g., React, Next.js, TypeScript), and an ability to collaborate effectively with Product & Design. Deep hands-on experience with AWS solutioning , including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway . Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential. Proven experience building and deploying production-grade AI applications and services. Experience with agentic frameworks like LangChain, LangGraph, and LangSmith is a strong plus. Strong background in building distributed systems, microservices, and resilient APIs (REST/GraphQL) on cloud platforms (AWS/GCP/Azure). Demonstrated ability to influence technical strategy and lead architecture decisions across global teams. Excellent communication skills with experience working effectively across time zones and cultures. Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment Education and Certifications A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience AWS cl

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Server Platform is at the core of Figma's infrastructure foundation! This area owns the foundational layer of infrastructure that underpins all other infrastructure and application services at Figma. The Foundation team under Server Platform is Infrastructure's infrastructure. This team enables the efficient operation and rapid development of reliable infrastructure at Figma through opinionated platforms. We are building the V2 of Infrastructure and setting key initiatives that will set the tone for infrastructure for the next half decade. We're looking for thoughtful and technical leaders with experience focused on designing the next generation edge and network to handle our growing customer traffic and services. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Design, build and operate scalable distributed systems and services that power Figma's innovative tools for design and collaboration Develop and secure our internal and edge network running on AWS Help design and deploy an internal service mesh network which can support Figma's growing portfolio of services and features Develop intelligent detection and auto-scaling countermeasures for DDoS threats Debug and resolve production issues across services and multiple layers of the stack, reducing mean time to resolution for critical incidents We’d love to hear from you if you have: 4+ years of experience building infrastructure components and services at scale in a cl

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. On the Rider team, we are growing our team with people who want to enrich the lives of our community through technology. You'll collaborate with highly cross-functional teams such as Product, Design, Data science, and Analytics, as well as other organizations like Driver, Partners, and Marketplace, to deliver on that promise. As the Senior Engineering Manager for the Rider Loyalty, Partnerships, and Rider Pay (PLP) group, you will lead multiple managers and Staff ICs with end-to-end teams, consisting of iOS, Android, and Server, to make Riders into Members and to build a robust network of partners that our Riders love. It is your responsibility to sweat the details by being customer-obsessed with specific Rider needs and to build innovative product solutions to address them. Responsibilities: Set the technical vision and team strategy for the PLP group and communicate that downwards, with peers, and upwards with ELT Coach and guide an organization of managers and engineers in their people and technical development Collaborate with cross-functional stakeholders to deliver high business impact Work closely with the Lyft recruiting team to hire high-potential candidates from diverse backgrounds Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or a related field, or relevant work experience 3+ years of experience managing engineering teams of 20+ members, including teams across iOS, Android, and Server platforms, as well as experience in managing managers Ability to thrive in a heavily cross-functional environment and drive projects to completion regardless of the organizational structure Passion for building scalable and extensible solutions that enable others and ensure a high-quality product Experience launching and supporting consumer-facing products at scale Strong technica

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 team owns open-source SDKs that reflect the Stripe API in seven different programming languages. A vast majority of server-side Stripe integrations are built using our open-source SDKs. Our team also owns an in-house code generation framework, which we use to generate not just the SDKs, but the code snippets in our documentation and the commands in Stripe Shell, which is an in-browser version of the Stripe CLI. We are dedicated to providing a world-class experience for developers using our SDKs. We influence how Stripe authors and releases APIs so that SDKs and documentation represent them in a user-friendly way. We want to collaborate with and help our friends in the Stripe community who build and maintain SDKs in programming languages that we don't support. What you’ll do In this role, you'll have an opportunity to shape the experience of developers using Stripe SDKs that power over 80% of the payment volume at Stripe. Be the Golang expert on the team, representing the needs of the Golang community and ensuring we build experiences that are idiomatic Use your Node.js expertise to improve our code generation framework and work toward a future where we open source it to make it easier for third-party Stripe SDK owners to maintain their libraries Collaborate with various Stripe teams to release their APIs in the SDKs and improve the efficiency of the release process Help streamline the API authoring process at Stripe Support our users rea

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 Organization The Core Infrastructure organization operates the foundational systems that power Stripe globally — including databases (MongoDB, PostgreSQL), high availability and disaster recovery (HADR), AWS cloud infrastructure, Linux servers, container orchestration, mesh networking, service discovery, and network edge infrastructure. Within Core Infra, the Regional Enablement Platform (REP) team helps Stripe launch and operate new regions without learning about broken dependencies from users. REP builds the regionalization, validation, deploy-safety, and operator tooling needed to answer practical launch-readiness questions: can critical payment paths run from the new region, which services still depend on a remote control plane, what breaks under packet loss or failover, and what must be fixed before deploys, launches, traffic shifts, or failovers proceed. The team uses traffic replay, synthetics, failover drills, dependency analysis, CI/CD gates, and incident data to turn those findings into platform fixes, service-owner asks, and reusable readiness checks across networking, HADR, and service teams. This role is based in Bangalore and serves as a senior technical anchor for Core Infrastructure in India, with direct cross-region influence across AMER, EU, and APAC. What you'll do As a Staff Engineer on REP, you will play a key leadership role in enabling Stripe's infrastructure to power all of our products, globally and at scale. You will

About the team The Agent Enablement AI Deployment Engineering (ADE) team works across engineering, product, design, partnerships, and strategic customers to grow an open ecosystem of agent-enabled sites and services. We help partners adopt the OpenAI tech stack related to identity, permissioning, agent-auth primitives so users can safely connect ChatGPT and Codex to the tools, services, and workflows they already use. Our team also works with external partners on defining the standards for agent access, marketplace offerings as well as other agent enablement initiatives to ensure users of ChatGPT and Codex go from intent to task completion seamlessly. About the role We are looking for an AI Deployment Engineer to help strategic partners design, build, validate, launch, and operate agent enablement integrations across web applications, connectors, APIs, CLIs, MCP servers, and developer tools. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated technical engagements, and turn ambiguous identity and agent-workflow requirements into secure, production-ready integrations. You will work across partner product and engineering teams and OpenAI’s product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams. You will identify high-value user journeys, choose the right integration path, prototype and review architectures, write code, run evaluations and dogfood, trace failures end to end, guide launch and rollout, and support post-launch iteration. The best person for this role moves fluidly between full-stack code, OAuth/OIDC and identity systems, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product-minded engineer who wants to stay close to users and partners while going deep on authentication, permissions, reliability, safety, and developer experience. The principle objective is to

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 The Software Engineer, Operating Systems & Orchestration will focus on building systems to manage hardware, configurations, vendors, and the people interacting with our infrastructure. You will design and develop solutions that integrate individual nodes and servers into unified clusters, directly contributing to advancing AI research by streamlining the overall research user experience. 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 build systems to manage both cloud and bare-metal fleets at scale. Develop tools that integrate low-level hardware metrics with high-level job scheduling and cluster management algorithms. Leverage LLMs to coordinate vendor operations and optimize infrastructure workflows. Automate infrastructure processes, reducing repetitive toil and improving system reliability. Collaborate with hardware, infrastructure, and research teams to ensure seamless integration across the stack. Continuously improve tools, automation, processes, and documentation to enhance operational efficiency. You might thrive in this role if you: Have strong software engineering skills with experience in large-scale infrastructure environments. Possess broad knowledge of cluster-level systems (e.g., Kubernetes, CI/CD pipelines, Terraform, cloud providers). Have deep expertise in server-level systems (e.g., systems, containerization, Chef,

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. Our Industrial Compute organization develops and deploys large-scale AI campuses designed to support the next generation of frontier model training and inference workloads. The Hardware Operations team is responsible for ensuring the reliability, availability, and lifecycle health of OpenAI’s compute infrastructure. We partner closely with Data Center Operations, Fleet Health Engineering, Manufacturing, Network Infrastructure, Capacity Planning, and our infrastructure partners to maintain world-class operational performance across rapidly expanding AI environments. As we scale globally, we are building the operational frameworks, reliability standards, and sustaining engineering practices required to support thousands of GPUs and servers across multiple campuses. About the Role We are seeking a Datacenter Hardware Technician Lead to serve as the senior on-site technical authority for hardware reliability and fleet health at one of OpenAI’s flagship AI campuses. This role operates at the intersection of hardware operations, sustaining engineering, and fleet reliability. You will partner closely with Cloud Service Provider operations teams, OpenAI fleet-health engineers, hardware engineering teams, and OEM vendors to identify, diagnose, and resolve hardware issues affecting production systems. Beyond day-to-day operational support, you will drive root cause investigations, reliability improvement initiatives, lifecycle management programs, and operational readiness efforts. You will help establish hardware maintenance standards, operational procedures, and best practices that scale across future OpenAI infrastructure deployments. The ideal candidate combines deep hands-on datacenter hardware expertise with strong troubleshooting, failure analysis, and cross-functional leadership skills. Candidates must be able to sit onsite at our

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI compute infrastructure ecosystem. The InfraDev team is central to this mission, setting the strategy and executing the roadmap to scale our supercomputing footprint globally. From site planning to system integration, this team operates at the intersection of commercial, technical, and operational excellence, partnering with leaders across OpenAI and the industry. About the Role We are seeking a Strategic Sourcing Manager who is ready to take on global-scale challenges in AI compute supply and manufacturing — an opportunity to shape the future of supercomputing. As part of the Infrastructure Strategy & Delivery organization supporting Industrial Compute, OpenAI’s next-generation supercomputing platform, you will lead sourcing and strategic supplier engagements for compute infrastructure at hyperscale. This role will drive commercial strategy and supplier accountability across server platforms, accelerators, rack systems, and associated thermal & power delivery components. This is not traditional procurement — it is foundational work enabling OpenAI to deploy compute faster and more efficiently than anyone in the world, while building deeply-integrated partnerships with the global compute supply chain. Key Responsibilities Develop and execute sourcing strategies for the next generation of AI compute infrastructure in partnership with engineering and program leadership. Stay at the leading edge of industry and supply-chain trends to inform category strategy and long-range planning. Initiate, negotiate, and manage commercial agreements across OEM/ODM/JDMs for accelerators, GPUs/CPUs, server platforms, rack systems, liquid-cooling components, PSUs, and supporting mechanical/electrical subsystems. Secure capacity and optionality across a rapidly scaling compute supply chain while mitigating risk and ensuring manufacturing readiness. Partner cross-funct