Jobs in United States

Shift Engineer in United States

2,815 active opportunities · Updated October 2026

Explore current shift engineer jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

M
📍 United States· Full-time
✓ High-confidence listingCompany trend -93.7%

From $127K/yr

Quick readStrong listing-quality and freshness signals

The Team Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, deployment machinery, and observability and alerting systems. The Fabric team manages the infrastructure that enables secure communication between systems and from the public internet. Their responsibilities encompass network architecture, service mesh, and edge load balancing, ensuring customer data remains safe in transit. The team plays a crucial role in developing and maintaining the reliable and globally connected multi-cloud network that supports MongoDB products. This role can sit in our NYC HQ, our smaller Austin, Palo Alto, or San Francisco offices, or fully remote from anywhere in North America. When based in an office, we provide hybrid work accommodation. Role Overview We are seeking a talented Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As an SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable. The ideal candidate should Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles Possess a customer-focused mindset, driving improvements that benefit end-users Value efficiency in processes and operations, and display a strong preference for automation over manual processes (“allergic to ops work”) Be intimately familiar with modern cloud-based infrastructure and the network design prim

MongoDBAWSAzureGCP
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the Team The Intelligence and Investigations team seeks to rapidly detect and disrupt abuse in AI technologies to ensure their safe use. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits all of humanity. About the Role As an Intelligence Systems Engineer, you’ll be focused on advancing our Intelligence & Investigations efforts at OpenAI, ensuring the safe and responsible use of AI across our products and services. We are seeking a self-starter to prototype, develop, and maintain new tools and processes that integrate OpenAI’s models and infrastructure to enable internal teams to make sense of large, open-domain datasets, fight abuse, and inform high-stakes decisions. You will be a crucial technical bridge between our data scientists and subject matter experts and technical teams like Platform Integrity, Safety Systems, and Research by leading the development of innovative tools and processes that bolster goals in scaled collections, investigations, and analysis. The ideal candidate has strong analytical and data skills, with a background in both prototyping and building scalable systems that can swiftly detect emerging threats, process vast amounts of information, and deliver insights to stakeholders. We value professionals with outstanding communication skills, a commitment to continuous learning, and who are dedicated to promoting the responsible use of AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Prototype, build, and maintain at-scale intelligence systems that detect, triage, and monitor targeted signals from both open-source and internal data Analyze requirements and deliver end-to-end solutions that address

PythonSQLAWSRest
C-
📍 New York, New York, United States· Full-time
✓ High-confidence listing

$225K – $300K/yr

Quick readStrong listing-quality and freshness signals

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We're looking for Senior Fullstack Software Engineers to help build the next generation of CLEAR's identity platform. Beyond verifying identity, we're creating a secure, networked digital identity that enables seamless experiences across travel, enterprise, healthcare, financial services, and beyond. As a Senior Software Engineer, you'll own complex technical problems from design through deployment, partnering closely with Product, Design, Security, and Operations to deliver reliable, scalable solutions. We're looking for engineers with a strong builder mindset who thrive in ambiguity, take ownership, and enjoy turning ideas into production systems. Level and team matching (open roles across the three pillars that make up Technology at CLEAR: Core Identity, CLEAR1 , and CLEAR Travel ) will occur towards the end of our interview process. Tech stack overview: Java / React / Typescript What you’ll do: Design, build, test, and deploy scalable full-stack applications that power CLEAR's identity platform. Own projects end-to-end from technical discovery and architecture through implementation, rollout, and operational support. Partner closely with Product, Design, Data, Security, and Operations to translate business problems into simple, scalable technical solutions. Drive engineering excellence by improving system reliability, performance, testing, observability, and developer experience. Contribute to architectural decisions and continuously improve the scalability, security, and maintainability of our platform. Mentor teammates through tho

TypeScriptJavaReactAWS
C-
📍 New York, New York, United States· Full-time
✓ High-confidence listing

$225K – $300K/yr

Quick readStrong listing-quality and freshness signals

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We're looking for Senior Fullstack Software Engineers to help build the next generation of CLEAR's identity platform. Beyond verifying identity, we're creating a secure, networked digital identity that enables seamless experiences across travel, enterprise, healthcare, financial services, and beyond. As a Senior Software Engineer, you'll own complex technical problems from design through deployment, partnering closely with Product, Design, Security, and Operations to deliver reliable, scalable solutions. We're looking for engineers with a strong builder mindset who thrive in ambiguity, take ownership, and enjoy turning ideas into production systems. Level and team matching (open roles across the three pillars that make up Technology at CLEAR: Core Identity, CLEAR1 , and CLEAR Travel ) will occur towards the end of our interview process. Tech stack overview: Python / React / Typescript What you’ll do: Design, build, test, and deploy scalable full-stack applications that power CLEAR's identity platform. Own projects end-to-end from technical discovery and architecture through implementation, rollout, and operational support. Partner closely with Product, Design, Data, Security, and Operations to translate business problems into simple, scalable technical solutions. Drive engineering excellence by improving system reliability, performance, testing, observability, and developer experience. Contribute to architectural decisions and continuously improve the scalability, security, and maintainability of our platform. Mentor teammates through t

TypeScriptPythonReactAWS
C-
📍 Austin, Texas, United States· Full-time
✓ High-confidence listing

$210K – $280K/yr

Quick readStrong listing-quality and freshness signals

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We're looking for Senior Fullstack Software Engineers to help build the next generation of CLEAR's identity platform. Beyond verifying identity, we're creating a secure, networked digital identity that enables seamless experiences across travel, enterprise, healthcare, financial services, and beyond. As a Senior Software Engineer, you'll own complex technical problems from design through deployment, partnering closely with Product, Design, Security, and Operations to deliver reliable, scalable solutions. We're looking for engineers with a strong builder mindset who thrive in ambiguity, take ownership, and enjoy turning ideas into production systems. Level and team matching (open roles across the three pillars that make up Technology at CLEAR: Core Identity, CLEAR1 , and CLEAR Travel ) will occur towards the end of our interview process. Tech stack overview: Java / React / Typescript What you’ll do: Design, build, test, and deploy scalable full-stack applications that power CLEAR's identity platform. Own projects end-to-end from technical discovery and architecture through implementation, rollout, and operational support. Partner closely with Product, Design, Data, Security, and Operations to translate business problems into simple, scalable technical solutions. Drive engineering excellence by improving system reliability, performance, testing, observability, and developer experience. Contribute to architectural decisions and continuously improve the scalability, security, and maintainability of our platform. Mentor teammates through tho

TypeScriptJavaReactAWS
C-
📍 New York, New York, United States· Full-time
✓ High-confidence listing

$325K – $500K/yr

Quick readStrong listing-quality and freshness signals

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We're looking for Staff Software Engineers to help build the next generation of CLEAR's identity platform. Beyond verifying identity, we're creating a secure, networked digital identity that enables seamless experiences across travel, enterprise, healthcare, financial services, and beyond. As a Staff Software Engineer, you'll own complex technical problems from design through deployment, partnering closely with Product, Design, Security, and Operations to deliver reliable, scalable solutions. We're looking for engineers with a strong builder mindset who thrive in ambiguity, take ownership, and enjoy turning ideas into production systems. Level and team matching (open roles across the three pillars that make up Technology at CLEAR: Core Identity, CLEAR1 , and CLEAR Travel ) will occur towards the end of our interview process. Tech stack overview: Java / Python / React / Typescript What Sets Staff Engineers Apart Staff Engineers at CLEAR operate beyond a single team. They influence technical strategy across multiple products, shape architectural direction, identify opportunities before they become problems, and drive alignment across organizations. They are trusted partners to Engineering and Product leadership, consistently delivering high-impact technical solutions while developing the engineers around them and raising the quality of execution across the organization. What you’ll do: Design, build, test, and deploy scalable full-stack applications that power CLEAR's identity platform. Own projects end-to-end from technical discovery and

TypeScriptPythonJavaReact
H
📍 Colorado, United States of America, United States
✓ High-confidence listingCompany trend +103.7%

$72.6K – $109K/yr

Quick readStrong listing-quality and freshness signals

Software and Engineering Graduate Roles - HP Solutions (HPS) Description - T he following posting is a pipeline requisition, meant to accumulate candidates for 2026 & 2027 . Qualified applicants will be contacted in concert with the approval and publication of identical, approved positions within HP, Inc . HP occasionally offers work authorization sponsorship for critical need roles. However, this opportunity currently does not offer work authorization sponsorship and HP will not provide any assistance or sign documentation in support of immigration sponsorship including Optional Practical Training (OPT). About Us Innovation is in HP’s DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe. HP brings together a portfolio that spans printing, personal computing, software and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze. The Program: Our future success depends on the innovation and fresh ideas you bring to HP, Inc. We are hiring students and new graduates with a diverse set of skills and experiences to join us, across the different organizations that make us HP, Inc. Our new grad program is intended to help you learn and grow at HP, give you an opportunity to make an impact, and work with leading edge technology. A

PythonJavaReactAngular
G
📍 United States· Full-time
✓ High-confidence listingCompany trend -100%

From $154K/yr

Quick readStrong listing-quality and freshness signals

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team GoDaddy's Global Storage Engineering team operates one of the largest Ceph environments in the world, delivering the object, block, and file storage platforms that power GoDaddy's hosting infrastructure, internal services, OpenStack environments, and next-generation AI/HPC workloads. If you're passionate about distributed systems, storage architecture, and solving failure scenarios at massive scale, this is an opportunity to work on infrastructure few engineers will experience in their careers. Ceph is a strategic platform at GoDaddy — not an ancillary service. Our global footprint includes 80+ production clusters, 20,000+ OSDs, 1,830 storage nodes, 300 PB of raw capacity, and 69 billion objects spanning five datacenters across three continents. The platform supports RBD, RGW (S3/Swift), and CephFS workloads through more than 1,550 pools, 574,000 placement groups, and 900+ MDS daemons, creating engineering challenges that demand deep expertise in storage architecture, data durability, performance optimization, automation, and observability. As a Lead Senior Site Reliability Engineer, you'll serve as one of the principal technical leaders for GoDaddy's Ceph platform. You'll design the next generation of storage clusters, lead major platform upgrades, drive capacity and hardware strategy, and establish the standards that govern how the platform scales. You'll be the engineer the team turns to for the most complex s

PythonKubernetesAISwift
R
📍 San Mateo, CA, United States· Full-time
✓ Quality checkedCompany trend -100%

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Software Engineer Intern at Roblox, your 12-week journey is designed around accelerated learning and tangible global impact. With the support of a dedicated mentor, you’ll apply your knowledge to production-scale reality as you take end-to-end ownership of a project tackling some of the hardest technical challenges, including distributed systems, real-time communication, 3D co-experience, data processing, rendering, and more. You Will: Join our supportive community of engineers, receiving dedicated mentorship as you deliver live production projects. Investigate and experiment with cutting-edge technologies, such as machine learning frameworks, agentic coding tools, and large language models (LLMs), to solve complex technical challenges and improve our engineering systems. Own a project from beginning to end, from coding and testing to deploying it to production, and presenting your work to peers and leaders across the company. Partner closely with cross-functional teams, including Design, Product, Data, QA, and DevOps, to deliver cohesive products and features. Build a close community with fellow interns and full-time builders alike, while gaining a broad perspective on the compa

PythonJavaNode.jsAWS
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

The ChatGPT Finances team builds experiences that help people connect their financial accounts, understand their financial picture, and ask useful questions about their finances through ChatGPT. Our work spans account connectivity, data ingestion, dashboards, personalized insights, and conversational experiences. We collaborate across product, design, research, infrastructure, security, and data integrations to make complex financial information understandable and actionable. This is an early and ambitious product area with a substantial roadmap. We are looking for engineers who want to shape both the first user experiences and the durable systems required to earn and keep users’ trust. About the role We’re looking for full-stack product engineers to build and scale ChatGPT Finances. You will own features across the stack—from polished frontend experiences to the APIs, services, and data models that power them. This role is well suited to engineers who combine strong product judgment with broad technical depth. You should care about how quickly users can understand their financial lives, how reliably data moves through the system, and how AI can answer financial questions in a grounded, transparent, and useful way. You will work closely with product, design, research, infrastructure, security, and data integration teams to take ideas from early prototypes to reliable production experiences. In this role, you will Own full-stack product features from user experience and frontend implementation through backend services, data models, deployment, and observability. Build polished, accessible, and performant interfaces for account connection, dashboards, insights, and conversational workflows. Design APIs and backend systems that safely ingest, normalize, and serve financial data. Build resilient integrations that handle synchronization, data freshness, partial failures, permissions, and user consent. Bring new AI capabilities into production while prioritizing grounding

TypeScriptPythonReactNode.js
H
📍 Austin, Texas, United States· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Metrology Engineer is Hyliion's technical authority on dimensional measurement across internal operations and the supply base. KARNO functionality depends on precision machined components and sub-assemblies held to micron-level form and finish, and this position sits within the Quality function as the interface between Design Engineering, the supply base, Manufacturing, and Quality. The role owns the measurement system end to end: the metrology lab and equipment roadmap, inspection programs and fixtures, the calibration and gage control system, and the measurement standards to which both supplier and internal inspection are held. The position is accountable for the integrity of dimensional data wherever it is generated — at a supplier's machine, at receiving inspection, or in process on Hyliion's floor — and for ensuring that results from those sources agree within defined, documented tolerances. The balance between supplier-facing and internal work shifts with the maturity of the supply base and the product portfolio; both are permanent responsibilities of the role. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Supplier Metrology and Source Inspection Serve as Hyliion's technical lead for dimensional verification at key suppliers, including additive manufacturing partners, precision machining sources, and the magnetic assembly supply chain. Assess supplier measurement capability: equipment, environment,

ReactAIGoSEM
A
📍 United States· Full-time
✓ High-confidence listingCompany trend -98.8%

From $212K/yr

Quick readStrong listing-quality and freshness signals

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb's Security Engineering organization protects a global community of millions of Hosts and guests. The Cloud & Data Security team is responsible for the security of the infrastructure and data platforms that Airbnb runs on - spanning cloud environments, data infrastructure, identity and access, and the paved roads that engineering teams build on every day. We partner closely with other Information Security teams, Cloud Infrastructure, Data Platform, and Enterprise teams to make secure the easiest path for engineers to take. The Difference You Will Make: As the Engineering Manager for Cloud & Data Security, you will lead a team of security engineers responsible for securing Airbnb's cloud infrastructure, data platforms, and the controls that govern how sensitive data is accessed and moved. You will set the team's technical direction, coach engineers through complex architectural work, and partner across the company to raise the bar on how Airbnb builds and operates its infrastructure. You will own the team's roadmap, its people, and its outcomes, building a durable, high-trust function that shifts security left through paved roads, automation, and deep partnership with the teams you protect. A Typical Day: Lead and grow a team of security engineers focused on cloud infrastructure security, data security, and identity and access controls. Set and drive the team's roadmap in alignment with organizational security priorities, balancing embedded partnership with high-leverage automation and paved-road investment. Partner with Infrastructure, Data Platform, and Application Se

AWSGCPKubernetesAI
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in San Francisco. W

AWSRestAIGo
O
📍 New York, New York, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in NYC. We use a hy

AWSRestAIGo
O
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -80.2%
Quick readStrong listing-quality and freshness signals

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a Deployment Lead Life Sciences, you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the Life Sciences vertical, partnering with pharmaceutical companies, clinical research organizations, and other data and services providers to deploy next-generation AI capabilities across their drug discovery, development, and operations. You will own delivery end-to-end: embedding with Life Sciences customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in New York. We us

Artificial IntelligenceAIExcelProject Management
🔔

Get new shift engineer jobs in United States by email

Daily job updates · Unsubscribe anytime