Network Deployment Engineer Jobs

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Our customers rely on us for frontier AI capabilities running on hardware they control, often with constrained GPU resources and limited direct access. Rising to that challenge and meeting those expectations is what Palantir's excels at. We treat models like any other software: continuously tested, continually delivered, packaged for reproducible deployment, and built for long-term maintainability. You will own services end-to-end, and work across the full stack, from inference engines, GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform. The goal is to deliver new models and capabilities quickly and continuously. Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Apollo is Palantir’s autonomous software management and deployment platform. It enables seamless, continuous delivery of mission-critical software (Foundry, Gotham, AIP) across a vast range of environments: on-prem, public cloud, disconnected (air-gapped) networks, and highly regulated settings (including IL-5 and FedRAMP). As a Software Engineer on the Apollo team, you’ll build and operate a large-scale distributed system to allow the remote operation and maintenance of Kubernetes clusters. Our mission is to extract the entire state of a cluster into a portable, high-performance artifact within minutes, enabling full and almost instant cluster reconstruction from the ground up—all while pushing the limits of speed, reliability, and scale. You’ll design and implement backup and restore solutions for Kubernetes, leveraging proprietary compression infrastructure tailored to Palantir’s unique deployment models. You’ll also build and optimize our container artifact store, which is based on the OCI (Open Container Initiative) distribution spec—the industry standard for storing and distributing container images and artifacts. You’ll own the backbone of every environment Apollo supports, from hyperscalers to Army trucks. If you’re excited by challenges at the intersection of container technologies like OCI and docker, storage, and distributed systems, you’ll find opportunities here to dive deep into storage formats and low-level optimizations, where milliseconds matter. As we increasingly automate cluster creation and management on diverse hardware, you’ll play a key role in scaling Palantir’s presence at the edge and solving tough distributed systems proble

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Apollo is Palantir’s autonomous software management and deployment platform. It enables seamless, continuous delivery of mission-critical software (Foundry, Gotham, AIP) across a vast range of environments: on-prem, public cloud, disconnected (air-gapped) networks, and highly regulated settings (including IL-5 and FedRAMP). As a Software Engineer on the Apollo team, you’ll build and operate a large-scale distributed system to allow the remote operation and maintenance of Kubernetes clusters. Our mission is to extract the entire state of a cluster into a portable, high-performance artifact within minutes, enabling full and almost instant cluster reconstruction from the ground up—all while pushing the limits of speed, reliability, and scale. You’ll design and implement backup and restore solutions for Kubernetes, leveraging proprietary compression infrastructure tailored to Palantir’s unique deployment models. You’ll also build and optimize our container artifact store, which is based on the OCI (Open Container Initiative) distribution spec—the industry standard for storing and distributing container images and artifacts. You’ll own the backbone of every environment Apollo supports, from hyperscalers to Army trucks. If you’re excited by challenges at the intersection of container technologies like OCI and docker, storage, and distributed systems, you’ll find opportunities here to dive deep into storage formats and low-level optimizations, where milliseconds matter. As we increasingly automate cluster creation and management on diverse hardware, you’ll play a key role in scaling Palantir’s presence at the edge and solving tough distributed systems proble

MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places – all in a day’s work! MongoDB PS exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios – from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. This role will be based remotely in Great Britain We’re looking for someone with: 10+ years of software development/consulting/support experience, preferably in a number of distinct industries/verticals Competence in at least one of the following languages (in no particular order): Java, C#, Python, Node.js (JavaScript), Ruby, Go Experience with databases such as MongoDB, Oracle, MS SQL Server, PostgreSQL Familiarity with Linux diagnostics and tuning; Windows tuning knowledge is a plus Familiarity with enterprise-scale software architectures, application development methodologies, and software deployment and operations Excellent analytical, diagnostic skills, and problem-solving skills High motivation for a role that combines deep technical and customer-management dimensions Confidence speaking and presenting in a collaborative customer setting Should be capable and comfortable with frequent travel for short trips to customer sites during the working week (up to 15%) Experience working with Public Sector customers What you will do in this role: Contribute to customer implementations at any or all phases of the application lifecycle: portfolio assessment, application planning and design, deployment architectures, development and build, integration and release co

MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places – all in a day’s work! MongoDB PS exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios – from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. This role will be based remotely in Rome We’re looking for someone with: 10+ years of software development/consulting/support experience, preferably in a number of distinct industries/verticals Competence in at least one of the following languages (in no particular order): Java, C#, Python, Node.js (JavaScript), Ruby, Go Experience with databases such as MongoDB, Oracle, MS SQL Server, PostgreSQL Familiarity with Linux diagnostics and tuning; Windows tuning knowledge is a plus Familiarity with enterprise-scale software architectures, application development methodologies, and software deployment and operations Excellent analytical, diagnostic skills, and problem-solving skills High motivation for a role that combines deep technical and customer-management dimensions Confidence speaking and presenting in a collaborative customer setting Should be capable and comfortable with frequent travel for short trips to customer sites during the working week (up to 15%) Fluency in both Italian and English languages What you will do in this role: Contribute to customer implementations at any or all phases of the application lifecycle: portfolio assessment, application planning and design, deployment architectures, development and build, integration and release configu

MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places – all in a day’s work! MongoDB PS exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios – from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. This role will be based remotely in Paris. We’re looking for someone with: 10+ years of software development/consulting/support experience, preferably in a number of distinct industries/verticals Competence in at least one of the following languages (in no particular order): Java, C#, Python, Node.js (JavaScript), Ruby, Go Experience with databases such as MongoDB, Oracle, MS SQL Server, PostgreSQL Familiarity with Linux diagnostics and tuning; Windows tuning knowledge is a plus Familiarity with enterprise-scale software architectures, application development methodologies, and software deployment and operations Excellent analytical, diagnostic skills, and problem-solving skills High motivation for a role that combines deep technical and customer-management dimensions Confidence speaking and presenting in a collaborative customer setting Should be capable and comfortable with frequent travel for short trips to customer sites during the working week (up to 15%) Fluency in both French and English languages What you will do in this role: Contribute to customer implementations at any or all phases of the application lifecycle: portfolio assessment, application planning and design, deployment architectures, development and build, integration and release config

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

Datadog's Software Engineers with Systems depth leverage their experience with systems and tooling to build software that ensures Datadog remains reliable, performant, and secure. For this track, their Software Engineering experience may resemble the Distributed Systems track, but is typically applied in combination with their systems experience to build and run internal platforms and tools that our products are built on. These people typically have deep experience building and managing large cloud infrastructure deployments, or leading reliability efforts for orgs similar to ours, or building release machinery to allow hundreds or thousands of devs to do their jobs without stepping on each others' toes. The systems and tooling where they may have experience depth may include (but not limited to): bazel, build tooling, cassandra, CDN, chef, configuration management, container orchestration, consul, docker, elasticsearch envoy, haproxy, kafka, kubernetes, load balancing, network architecture, postgres, redis, release management, RPC frameworks, service discovery, spinnaker, terraform, zookeeper. Bonus: You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. #LI-KM5 Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. Th

Software Engineer (Associate or Experienced) Company: The Boeing Company The Boeing Company has an exciting opportunity for a Software Engineer to join the SATCOM Mission Planning Software Engineering team in Colorado Springs, CO. Our teams are currently hiring for a broad range of experience levels including; Associate and Experienced Software Engineers. The Satellite Communication (SATCOM) Mission Planning team is a critical part of the U.S. military’s nuclear command, control, and communications (NC3) network, providing nuclear-survivable connectivity. Our team develops software tools and services for advanced satellite and ground systems. This role offers the opportunity to work in a fast-paced development environment using modern, scalable technology and tools. Our team works in an Agile and CI/CD environment with automated testing, vulnerability scanning, and quality scanning capabilities. Position Responsibilities: Develops and maintains requirements, architecture, algorithms, interfaces, and designs for high-performance APIs between front-end and back-end software services Supports software development activities in an Agile environment using DevSecOps methodologies, including integration of completed software components into a fully functional software system Supports the development of critical features and support the full development lifecycle from design through deployment Builds, architects, and consumes APIs and backend services as part of the platform ecosystem, with an emphasis on automation, testing, and security Conducts code reviews to maintain code quality, enforce best practices, and ensure compliance with establis

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We’re looking for a Senior/Staff electrical and firmware engineer who designs the board and writes the firmware for connected consumer and enterprise devices, including tablets, POS systems, peripherals, and emerging robotics applications. In this role, you will take connected devices from ambiguous user or business needs through system architecture, rapid prototyping, board design, firmware implementation, bring-up, field deployment, and production transition. The ideal candidate has a passion for building and shipping reliable hardware at scale and thrives in an environment that demands technical depth and high-quality execution across multiple concurrent programs. This is a build-heavy role on a small, senior team. You’re excited about this opportunity because you will… Own connected devices end to end, including: Own connected devices from an ambiguous product need through field deployment. Work across the hardware and firmware boundary instead of handing work between specialists. Explore uncertain product ideas through rapid prototypes and experiments. Make consequential tradeoffs on a small, senior team with direct exposure to users and field behavior. Key Responsibilities Translate user and business needs into an integrated electrical and firmware architecture. Design compute-based, mixed-signal boards incorporating processors

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. Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and are able to see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. So what's yours? Responsibilities: Own your project, while checking in with other team members throughout the day with questions and updates You leave the code in a better state than when you found it (progressive refactor) You value reliability, ensured by testing (unit, integration and load tests) Participate in code reviews to ensure code quality and distribute knowledge Continuous integration and deployment Go home knowing that your work today is meaningfully improving the lives of every Lyft driver and every Lyft passenger! Experience: Currently pursuing a degree in Computer Science or a related field from a university in Mexico (required) Graduating between December 2027 and Summer 2028 (required) Available during Summer 2027 in Mexico City for a 12 week, 40 hour per week internship Strong knowledge of CS fundamentals Good English communication skills Strong knowledge of JavaScript, CSS, and HTML Experience working with modern JavaScript frameworks, like React Passion for community, sustainability, and/or transportation Ability to thrive in a startup environment Experience with real-time technology problems Contributions to open source projects Experience working with databases Experience solving real-time technology problems Previous work with social networks Please submit your resume in English.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior AI Platform Engineer (DevOps) Who is Mastercard? Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payment choices, making transactions secure, simple, smart, and accessible. Our technology and innovation, partnerships, and networks combined to deliver a unique set of products and services that help people, businesses, and governments realize their greatest potential. Our decency quotient (DQ) drives our culture and everything we do inside and outside our company. We cultivate an environment where individuals can thrive, collaborate, and contribute to innovations that power the global economy. Overview: The AI Platform Engineering team is responsible for building, operating, and evolving Mastercard's enterprise AI platforms and capabilities. Our mission is to provide scalable, secure, and reliable AI infrastructure that enables teams across Mastercard to accelerate the development and deployment of AI-powered solutions. As a Senior AI Engineer, you will help design, implement, and operate the foundational platforms that support AI and machine learning workloads across the enterprise. You will work at the intersect

As a Senior Security Engineer focused on Datadog’s Cloud SIEM product, you will help shape the future of security operations by transforming real-world security expertise into scalable detection, investigation, and response capabilities. You will develop high-impact threat detection content, improve AI-assisted security workflows, and help defenders identify and respond to threats across cloud-native and enterprise environments. Working closely with Product, Engineering, and Security Research teams, you will influence the evolution of Datadog Security products while advancing detection coverage across emerging technologies and attack surfaces. This role offers the opportunity to contribute to open source initiatives, publish security research, and help define the next generation of agentic security operations capabilities. 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: Research attacker techniques, defensive strategies, and emerging threats, translating findings into scalable security capabilities that protect customers at cloud scale. Design and improve AI-powered investigation, threat hunting, and response workflows that support Datadog’s agentic SOC capabilities. Own the lifecycle of threat detections and automated security workflows, from research and design through deployment, measurement, and continuous improvement. Develop high-fidelity detection content across cloud platforms, SaaS applications, identity systems, endpoints, networks, and other modern attack surfaces. Partner with Product, Engineering, Security Research, and customers to influence roadmap decisions and improve security outcomes across the platform. Mentor security engineers and drive improvements through automation, tooling, rapid prototyping, and data-driven optimization. Who Yo

As a Senior Security Engineer focused on Datadog’s Cloud SIEM product, you will help shape the future of security operations by transforming real-world security expertise into scalable detection, investigation, and response capabilities. You will develop high-impact threat detection content, improve AI-assisted security workflows, and help defenders identify and respond to threats across cloud-native and enterprise environments. Working closely with Product, Engineering, and Security Research teams, you will influence the evolution of Datadog Security products while advancing detection coverage across emerging technologies and attack surfaces. This role offers the opportunity to contribute to open source initiatives, publish security research, and help define the next generation of agentic security operations capabilities. 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: Research attacker techniques, defensive strategies, and emerging threats, translating findings into scalable security capabilities that protect customers at cloud scale. Design and improve AI-powered investigation, threat hunting, and response workflows that support Datadog’s agentic SOC capabilities. Own the lifecycle of threat detections and automated security workflows, from research and design through deployment, measurement, and continuous improvement. Develop high-fidelity detection content across cloud platforms, SaaS applications, identity systems, endpoints, networks, and other modern attack surfaces. Partner with Product, Engineering, Security Research, and customers to influence roadmap decisions and improve security outcomes across the platform. Mentor security engineers and drive improvements through automation, tooling, rapid prototyping, and data-driven optimization. Who Yo

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 Our technologies support some of the most important and impactful work in the world, including our strategic and high-impact customers in the public sector. As a Forward Deployed Security Engineer (FDSecE) you will be responsible for securing these novel applications of OpenAI’s technology. We’re looking for motivated, tenacious, and curious people who will work closely with engineering teams to ensure our infrastructure deployments are highly secure against our adversaries. As an FDSecE, you will embed directly throughout the lifecycle, working on-site and being hands-on to ensure the overall security of these deployments from design to production and through ongoing operations. This role is preferred to be based in Washington DC but may consider remote work. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel to and working from customer sites is required for this role. In this role, you will: Deeply embed with our most strategic public sector customers to implement and maintain robust security controls. Be a design and technical thought partner by leveraging security expertise on protective controls including access controls, authentication, encryption, network, and system security. Collaborate closely with teammates, cross-functional teams, customers, and service providers to achieve security and compliance goals. Ensure continuity of critical security and monitoring c