Network Engineer Jobs

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 The Core Infrastructure team at Stripe is entrusted with developing and maintaining the infrastructure utilized by all product teams to create services that underpin all Stripe business operations. This includes defining and executing a vision that ensures industry-leading scale and availability, and actively balancing these concerns with efficiency, latency, and organizational health. We are committed to advancing new distributed services and scaling existing technologies across the industry, in close collaboration with various teams to support their current and future demands, and various external partners in the open source community. Our infrastructure supports businesses worldwide by processing payments, managing marketplaces, assisting entrepreneurs in launching internet businesses, and more. The Infrastructure organization comprises teams responsible for operating system components, databases, caching, high availability, disaster recovery, cloud infrastructure, Linux servers, container orchestration, mesh networking, service discovery, change management, and network edge infrastructure. What you'll do As a Software Engineer on the Infrastructure team, you will be part of a team that is in charge of building the core infrastructure used by product teams which support our business. Examples include control plane services responsible for managing our primary database and cache infrastructure as well as building automation around managing

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 The Payments engineering powers the processing of hundreds of billions of dollars in card payments annually, enabling users to accept card payments from Asia Pacific, Europe, and Middle East regions. As the Engineering Manager for the team, you’ll have responsibility for expanding the reach of Stripe’s global payments network, delivering the best-in-class experience for card payments in these regions. In this role, you’ll be making some of the most significant strategic, product, and technical decisions for card payments at Stripe. The systems this team builds enables our users to create a single integration with Stripe, then take payments across an ever-expanding set of card networks and grow their businesses globally. What you’ll do Responsibilities Work with other Stripe leaders to author Stripe’s card payments strategy Develop engineers on the team, helping them advance in their careers Empower the engineering team to achieve a high level of technical productivity, reliability and simplicity Manage processes to help the team do its best work and interface effectively with the rest of Stripe Contribute to engineering-wide initiatives as a member of Stripe’s engineering management team Recruit great engineers, in collaboration with Stripe’s recruiting team You may be a fit for this role if: You thrive on a high level of autonomy and responsibility You encourage a healthy work environment that’s both supportive and challenging You’re ex

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 The APAC & EMEA Cards team powers the processing of hundreds of billions of dollars in card payments annually, enabling users to accept card payments from Asia Pacific, Europe, and Middle East regions. As the Engineering Manager for the team, you’ll have responsibility for expanding the reach of Stripe’s global payments network, delivering the best-in-class experience for card payments in these regions. In this role, you’ll be making some of the most significant strategic, product, and technical decisions for card payments at Stripe. The systems this team builds enables our users to create a single integration with Stripe, then take payments across an ever-expanding set of card networks and grow their businesses globally. What you’ll do Responsibilities Work with other Stripe leaders to author Stripe’s card payments strategy in APAC & EMEA Develop engineers on the team, helping them advance in their careers Empower the engineering team to achieve a high level of technical productivity, reliability and simplicity Manage processes to help the team do its best work and interface effectively with the rest of Stripe Contribute to engineering-wide initiatives as a member of Stripe’s engineering management team Recruit great engineers, in collaboration with Stripe’s recruiting team You may be a fit for this role if: You thrive on a high level of autonomy and responsibility You encourage a healthy work environment that’s both supportive and

About the Team The Workload Networking team is responsible for the collective communication stack used in our largest training jobs. Using a combination of C++ and CUDA we work on novel collective communication techniques that enable efficient training of our flagship models on our largest custom built supercomputers. The models we train are key ingredients to the AI research progress at OpenAI and the field as a whole, and we continually incorporate learnings from our entire research org into our training platform. About the Role As a Software Engineer, Networking you will design and implement custom networking collectives that are tightly integrated into our training stack. We’re looking for people who have a background in low level performance critical software. Experience with collective communication is a bonus. 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: Collaborate closely with ML researchers to design and implement efficient collective operations in C++ and CUDA. Ensure that our largest training jobs take full advantage of the different network transports used in our supercomputers. Work on simulations to inform our future supercomputer network designs. You might thrive in this role if you: Have written distributed algorithms using RDMA in the past. Are comfortable writing low level performance sensitive CPU and/or GPU code. Are familiar with network simulation techniques. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voic

Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. Build and maintain the load, chaos and synthetic testing software leveraged by development teams to make the systems they design and operate more reliable. Build and maintain automation tools to streamline repetitive tasks and improve system reliability. Build and maintain the platform for CPU/storage, GPU, and network lifecycle management to drive efficiency, accountability and support dynamic optimization of our resources. Implement fault-tolerant and resilient

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 Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role OpenAI is seeking a Security Engineer to join our Infrastructure Security (InfraSec) team. InfraSec protects the foundations of OpenAI’s research and production environments, spanning GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter includes securing everything from bare-metal hardware and firmware, to Kubernetes clusters and service meshes, to data storage and access pathways for highly sensitive model weights and user data. In this role, you will: Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated adversaries and insider threats. Collaborate with engineering and security teams to drive deployment of security enhancements and control changes across broad-scale infrastructure. Tackle high-impact projects such as checkpoint encryption, network isolation, secret management, and machine identity, while continuously raising the security bar for emerging AI workloads. Take a generalist approach to building security controls, balancing a mix of security expertise and broad technical skillsets to adapt to evolving challenges. You will thrive in this role if you have: Deep understanding of security principles, best practices, and common vulnerabilities. A proactive mindset, with the ability to identify and address secu

About the Team The Connectivity Software Engineering team is responsible for enabling seamless, secure, and high-performance wireless connectivity across OpenAI’s products. We design and optimize Bluetooth, BLE, Wi-Fi, and emerging wireless technologies to ensure robust device pairing, network performance, and interoperability. Our work spans kernel drivers, system services, and user-level tools, with a focus on real-world performance, scalability, and reliability. About the Role OpenAI is seeking a Connectivity Software Engineer to design, implement, and optimize wireless connectivity features across our product ecosystem. You’ll work at the intersection of systems software, wireless standards, and hardware integration—building robust pairing and provisioning flows, debugging low-level protocols, and driving performance under real-world RF constraints. You will also support certification, field interoperability, and fleet-scale connectivity infrastructure. This role is based in San Francisco, CA . We use a hybrid work model of 4 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, implement, and debug Bluetooth/BLE and Wi-Fi features across kernel drivers, BlueZ/wpa_supplicant/hostapd, and systemd/D-Bus services Deliver robust pairing, bonding, and provisioning flows (GATT/GAP, LE Audio/LC3, WPA3/802.1X, captive portals, NAN) Optimize link performance: throughput, latency, jitter, roaming, coexistence (BT↔Wi-Fi), and power modes (TWT, WoWLAN) Build reliable network management using NetworkManager/nmcli, nl80211/cfg80211/mac80211, DNS/DHCP/mDNS, P2P/SoftAP Instrument and analyze with packet captures and tooling (btmon/hcidump, Wireshark, iperf, eBPF/perf, spectrum sniffers) Drive interoperability and certification readiness (Bluetooth SIG, Wi-Fi Alliance) and resolve field issues with root-cause fixes Contribute to OTA-safe configuration, telemetry, and diagnostics for fleet-scale operation You might thrive in

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity Search Team at Postman is responsible for enabling users to quickly find and get started with the APIs that they are looking for. Postman is growing at a rapid pace, and this manifests into an ever-increasing volume of data that users create and consume, within their teams and in the Public API Network. We focus on improving discovery and ease of consumption over this data. We are looking for a Senior Engineer with 6+ years of experience deep backend expertise on search and ETL systems and a strong product mindset, to lead core initiatives on our search platform. In this role, you'll work at the intersection of infrastructure, relevance, and developer experience—designing systems that power search across the platform. You’ll bring a bias for action, a strong backend foundation, and the curiosity to explore beyond traditional boundaries, including areas like high performance web services, high volume data pipelines, machine learning, and relevance tuning. What You'll Do Own end to end architecture and roadmap of search platform consisting of distributed indexing pipelines, storage infra and high performance web serve

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are You are an experienced Platform Engineer who owns backend infrastructure end to end. You design multi-tenant, microservices-based systems that other engineering teams build on, and you make deliberate architectural tradeoffs around consistency, latency, scale, and cost. You are comfortable going deep — service mesh internals, database internals, distributed-systems failure modes — and equally comfortable defining the reliability and security contracts an enterprise AI platform depends on. Responsibilities Design, own, and evolve scalable microservices architectures on Kubernetes across GCP, Azure, and AWS, including multi-tenant isolation (namespaces, network policies, per-tenant resource quotas and RBAC). Build core platform and data-plane components in Golang and Python — data ingestion, knowledge-base indexing and vector/graph search, application connectivity, workflow automation, and ML operations — against explicit latency and throughput SLOs. Own service-to-service communication: gRPC/protobuf API contracts, service mesh (Istio/Linkerd), load balancing, retries, timeouts, and circuit breaking. Make and document architectural tradeoffs — partitioning/sharding strat

Leidos is looking for our next TS/SCI-cleared Elastic Search Engineer to join a high-energy team building and deploying a cutting-edge technology stack to support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise. We integrate off the shelf and newly development software to sustain and enhance the TCPED platform. We leverage cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members. DTP advances the state of the art in mission-focused big data analytics tools and micro-service development spanning the breadth of Agile sprints to multiyear research and development cycles. As an Elastic Search Engineer, you’ll be a member of our platform engineering team and help develop, deploy and maintain nosql databases as foundational elements of our microservice eco-system using a Kubernetes as foundational platform. You’ll also support the adoption of GitOps best practices across cross-functional engineering teams. In this fast-paced environment, you’ll collaborate closely with systems engineering, architecture, development, security, operations, and integrations teams. Work is conducted on-site at our client location in Bethesda, MD. Key Responsibilities Include: Deploy, triage, debug, and maintain production class databases like Elasticsearch and Redis Design and support database configuration management strategies across air-gapped network fabrics Partner with Systems Engineers to architect solutions for new capabilities Contribute to operational monitoring capabilities to provide proactive system notifications Contribute technical input to engineering documentati

Job Title Field Service Engineer, Multimodality Imaging (Travel: Honolulu, HI) Job Description Allow your passion for improving lives to shine in this role where you’ll be responsible for customer relationship management through the effective use of technical knowledge to install, troubleshoot, service, and maintain equipment at customer sites. Considering candidates who are willing to relocate to Honolulu, HI. Your role: Provide exceptional customer service by adhering to customer entitlements, setting clear expectations, and meeting commitments and arrival times to address and resolve customer needs. Understand the customer's business and competitive environment; generate service revenue. Actively participate as a member of the regional work team; work to improve team processes and identify training gaps. Seek out opportunities to increase capability and capacity (i.e. may be required to become qualified in multiple modalities, learns new tools). Perform all administrative duties within established Philips, State, and Federal regulatory requirements and timeframes including timesheets, service work orders, expense reports, Field Change Orders (FCO), preventative maintenance (PM), installation documents, site and service documentation, and other related paperwork. Adhere to established training, quality, and safety requirements. Utilize tools, support, resources, and escalation processes within required time frames to resolve customer and system problems timely and effectively. Complete PMs, FCOs, installation and all related tasks (diagnose and resolve electronic, network, and mechanical problems). Approximately 70% travel across the specified geography is required. The average driving time is 1-4 hours daily. Occasional overnight stays and travel by air and/or train may be required. You're the right fit

Leidos is looking for our next TS/SCI-cleared Elastic Search Engineer to join a high-energy team building and deploying a cutting-edge technology stack to support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise. We integrate off the shelf and newly development software to sustain and enhance the TCPED platform. We leverage cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members. DTP advances the state of the art in mission-focused big data analytics tools and micro-service development spanning the breadth of Agile sprints to multiyear research and development cycles. As an Elastic Search Engineer, you’ll be a member of our platform engineering team and help develop, deploy and maintain nosql databases as foundational elements of our microservice eco-system using a Kubernetes as foundational platform. You’ll also support the adoption of GitOps best practices across cross-functional engineering teams. In this fast-paced environment, you’ll collaborate closely with systems engineering, architecture, development, security, operations, and integrations teams. Work is conducted on-site at our client location in Bethesda, MD. Key Responsibilities Include: Deploy, triage, debug, and maintain production class databases like Elasticsearch and Redis Design and support database configuration management strategies across air-gapped network fabrics Partner with Systems Engineers to architect solutions for new capabilities Contribute to operational monitoring capabilities to provide proactive system notifications Contribute technical input to engineering document

Job Title Field Service Engineer - CT/MRI (Field: Syracuse, NY) Job Description Allow your passion for improving lives to shine in this role where you’ll be responsible for customer relationship management through the effective use of technical knowledge to install, troubleshoot, service, and maintain equipment at customer sites. Your role: Provide exceptional customer service by adhering to customer entitlements, setting clear expectations, and meeting commitments and arrival times to address and resolve customer needs. Understand the customer's business and competitive environment; generate service revenue. Actively participate as a member of the regional work team; work to improve team processes and identify training gaps. Seek out opportunities to increase capability and capacity (i.e. may be required to become qualified in multiple modalities, learns new tools). Perform all administrative duties within established Philips, State, and Federal regulatory requirements and timeframes including timesheets, service work orders, expense reports, Field Change Orders (FCO), preventative maintenance (PM), installation documents, site and service documentation, and other related paperwork. Adhere to established training, quality, and safety requirements. Utilize tools, support, resources, and escalation processes within required time frames to resolve customer and system problems timely and effectively. Complete PMs, FCOs, installation and all related tasks (diagnose and resolve electronic, network, and mechanical problems). Approximately 70% travel across the specified geography is required. The average driving time is 1-4 hours daily. Occasional overnight stays and travel by air and/or train may be required. You're the right fit if: You’ve acquired 1+ years of experience in a diagnostic imaging (field or

Job Title Field Service Engineer - Imaging Systems (Field: Kansas City, KS/MO) Job Description Allow your passion for improving lives to shine in this role where you’ll be responsible for customer relationship management through the effective use of technical knowledge to install, troubleshoot, service, and maintain equipment at customer sites. Your role: Provide exceptional customer service by adhering to customer entitlements, setting clear expectations, and meeting commitments and arrival times to address and resolve customer needs. Understand the customer's business and competitive environment; generate service revenue. Actively participate as a member of the regional work team; work to improve team processes and identify training gaps. Seek out opportunities to increase capability and capacity (i.e. may be required to become qualified in multiple modalities, learns new tools). Perform all administrative duties within established Philips, State, and Federal regulatory requirements and timeframes including timesheets, service work orders, expense reports, Field Change Orders (FCO), preventative maintenance (PM), installation documents, site and service documentation, and other related paperwork. Adhere to established training, quality, and safety requirements. Utilize tools, support, resources, and escalation processes within required time frames to resolve customer and system problems timely and effectively. Complete PMs, FCOs, installation and all related tasks (diagnose and resolve electronic, network, and mechanical problems). Approximately 70% travel across the specified geography is required. The average driving time is 1-4 hours daily. Occasional overnight stays and travel by air and/or train may be required. You're the right fit if: You’ve acquired 1+ years of experience