Jobs in United States

Security Engineer 2 in United States

1,234 active opportunities · Updated October 2026

Explore current security engineer 2 jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 United States· Remote
✓ High-confidence listing

$85K – $120K/yr

Quick readStrong listing-quality and freshness signals

Who We Are Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it. OpenTeams exists to make ownership possible. Founded by Travis Oliphant, creator of NumPy and SciPy, and built by people with deep roots across the open-source ecosystem, including NumPy, SciPy, PyTorch, and Jupyter, we help enterprises and governments build AI they control, govern, and evolve themselves. If that sounds like your kind of work, we'd like to meet you. Senior Infrastructure Engineer - AI/ML Platform Location: U.S - Remote Work Authorization: U.S. citizenship required Clearance: An active clearance is not required at the time of hire. Candidates must be able to obtain and maintain a Secret security clearance, which includes a federal background investigation. Salary Range: $85,000 - $120,000 USD, dependent on experience level and location About the Role We're looking for a Systems Engineer to join our platform support team. This is a role for someone early in their infrastructure career who wants real ownership of production systems and is willing to earn it by being the person others can count on. The work runs across two streams. Internal Platforms covers the systems OpenTeams itself runs on — identity, cloud, internal applications, our website. You own that surface end to end, which means you're the first responder when something breaks and the one who fixes the underlying cause so it stops happening. Project Support means backing up our infrastructure engineers on the platforms we build and operate for customers, including government programs. Both streams start at the front line. That's the entry point, not the destination - as you build real context, the scope grows toward environment builds, deployment configuration, and eventually owning pieces of a platform outright. The two sides

PythonSQLAWSAzure
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📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend 0%

From $224K/yr

Quick readStrong listing-quality and freshness signals

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. Senior Solutions Engineer (Enterprise Pre-Sales) Secure Every Identity, from Human to AI Agent About the Role At Okta, we believe that identity is the foundation of security and digital transformation. As a Senior Solutions Engineer, you will be the trusted technical advisor to our largest, most complex enterprise customers and a critical driver of our sales organization. We are looking for a highly strategic Pre-Sales professional whose consultative expertise, emotional intelligence, and enterprise sales acumen are their defining strengths. While technical agility is required, your primary focus will be owning the technical sales cycle by anchoring technical features to positive business outcomes. You will partner closely with Enterprise Account Executives to uncover top-of-mind business challenges—specifically around mitigating risk, reducing costs, and driving operational efficiency. By establishing value-based conversations, you will prove how Okta’s independent, neutral, and end-to-end identity platform can transform their architecture and secure the "Tech Win" on large-scale deals. What You'll Be Doing Master the Discovery Process: Leverage exceptional active listening to dig deep into customer pain points. You will uncover the 'why' behind the initiative, focusing on how Okta's vast pre-built integrations and scalable architecture can solve their most complex, diverse environmental challenges. Navigate Complex Organizations: Translate highly technica

AWSGitRestMachine Learning
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📍 Foster City, California, United States· Full-time
✓ Quality checkedCompany trend -96.2%

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role Replit is the agentic software creation platform that enables anyone to build applications using natural language. As we scale to support millions of developers and enterprise organizations, maintaining a robust, transparent, and technically sound Governance, Risk, and Compliance (GRC) program is critical. We are looking for a GRC Engineer to serve as a key technical contributor for our compliance and risk management ecosystem. You will architect the systems and processes that automate trust, partnering deeply across the organization. We need a pragmatic operator who understands that GRC exists to enable the business—balancing rigorous standards with the velocity of a high-growth startup. What You'll Do Technical Excellence & Architecture Technical Depth: Act as a technical subject matter expert for the GRC team. You will drive quality, technical depth, and operational efficiency in our security controls. Program Architecture: Own the technical vision for Replit’s GRC program, moving the team from manual workflows toward "Compliance-as-Code" and automated evidence collection. Thought Leadership: Champion a culture of security and privacy across the company, educating teams on why controls exist rather than just enforcing them. Cross-Functional Collaboration Engineering & Architecture: Partner with Architects and Engineering Leads to "bake in" compliance requirements early in the design phase. You will translate complex technical implementations into narratives that satisfy frameworks without slowing down development. Legal & Privacy: Work closely with Legal Counsel to interpret and implement requirements for Privacy (GDPR, CCPA) and emerging AI-specific regulations (e.g., EU AI Act). Sales &a

AWSGCPAIGo
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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -88%

Location: San Francisco, CA (Hybrid: 4 days onsite/week). Relocation assistance available. About the Team: We build foundational platform software that enables reliable, secure, and performant products. The team works across system layers and partners closely with adjacent engineering groups to deliver robust capabilities from concept through launch. About the Role: We’re seeking a System Software Engineer to design, implement, and debug core platform components and the pipelines that build and update system images. You’ll work across operating system layers, focusing on performance, security, and deep system debugging to ship production‑grade systems. In this role, you will: Design, implement, and debug system‑level components and services across kernel and user space. Configure and maintain OS platform services (init, services, networking, security policies) and related tooling. Build and operate image and update pipelines, ensuring reliability, reproducibility, and rollback safety. Instrument and analyze performance using profiling and tracing; optimize CPU, memory, I/O, and power usage. Own platform observability and reliability: logging, crash capture, watchdogs, and diagnostics. Collaborate with cross‑functional teams to define interfaces and deliver end‑to‑end features. Establish strong engineering practices: code review, CI, reproducible builds, and release management. Partner with external suppliers to support builds and deployments. You might thrive in this role if you: Have shipped production systems software on modern operating systems. Are proficient in C/C++ and a scripting language, and comfortable with OS internals (concurrency, memory management, filesystems, networking, power management). Bring strong systems debugging skills using debuggers, tracers, profilers, and logs across kernel/user‑space boundaries. Understand configuration of platform services and interfaces, and can translate requirements into stable, well‑documented APIs. Are fluent in u

AWSRestAIC++
C
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.2%

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? The Data Infrastructure team at Cohere is responsible for the storage and data movement layer underlying every model training run. We're building the unified storage layer that feeds our training workloads. It needs to serve petabytes of training data and model checkpoints fast enough to keep thousands of GPUs busy across several training clusters. In this role, you’d have an opportunity to build this system from the ground up. You’d be a key contributor, working on a problem few teams have had to solve at this scale. In this role, you will: Design, build, and operate the distributed storage system that feeds model training and evaluation. Run this system multiple on Kubernetes clusters at petabyte scale. Work with researchers and training-infra teams on how jobs actually read and write data, and turn that into throughput, latency, and durability requirements Work through the networking, I/O, and consistency problems of moving large datasets and checkpoints across regions and backends, with GPU idle time and time-to-insight as the measures of success You may be a good fit if you have: Strong storage fundamentals,

PythonKubernetesGitRest
C
📍 New York, New York, United States· Full-time
✓ Quality checkedCompany trend -79.2%

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We're building the data infrastructure behind some of the most demanding AI training workloads in the world, and we want sharp, curious people to help us do it. In this role, you'll build and maintain the high-performance data layer our Modeling teams rely on for training and evaluation jobs. As a Software Engineer, Data Infrastructure, you will: Work directly on petabyte-scale storage infrastructure, and the networking and performance challenges that come with it. Collaborate daily with researchers and engineers who are some of the best in the world at what they do. You may be a good fit if you have: 4+ years of experience working on data storage infrastructure Strong command of Python Kubernetes experience, especially on the storage side (Persistent Volumes, CSI drivers, etc.) The ability to transform unstructured data into performant datasets across diverse storage backends including S3, GCS, and POSIX Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink [Nice-to-have] Familiarity with modern analytics tooling such as BigQuery, Airflow, or dbt Genuine excitement about AI.

PythonKubernetesGitAI
C
📍 New York, New York, United States· Full-time
✓ Quality checkedCompany trend -79.2%

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a member of our Analytics & Data Insights team, you'll tackle the kind of problems that don't have textbook answers yet, launch products that didn't exist a year ago, and help enterprises understand what foundational AI actually means for their bottom line. As a Data Engineer, you will: Work directly on new customer experiences built on one of the most advanced AI systems in the world Collaborate daily with researchers and engineers who are some of the best in the world at what they do Run implementations end-to-end and see initiatives through to real outcomes Partner across research, marketing, sales, and finance to help define how Cohere grows, with your recommendations feeding directly into products and strategy You may be a good fit if you have: 5+ years of experience working on production-grade data processing systems Strong command of Python and SQL Experience with distributed data processing frameworks such as Apache Beam, Spark, or

PythonJavaSQLKubernetes
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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -88%

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect our model weights, customer data, and critical systems across multiple cloud environments. We partner with teams across OpenAI—Applied Engineering, Research, IT, and Security—to provide a secure and scalable platform for permissioning, orchestration, and innovative AI research. About the Role We’re looking for a Staff+ Software Engineer to help build and evolve the identity infrastructure that supports OpenAI’s research, engineering, and internal platforms. This role sits at the intersection of cloud infrastructure, identity systems, and software engineering. You’ll work across production systems, infrastructure-as-code, cloud control planes, identity providers, and operational infrastructure to build secure, scalable, and reliable systems used broadly across the company. The ideal candidate has experience building and operating large-scale, mission-critical systems with strong reliability and security requirements, and is comfortable writing production code, designing distributed systems, and driving ambiguous projects from 0 to 1 while building the operational rigor needed to run critical infrastructure over time. In this role, you will: Lead the architecture, development, and operation of identity infrastructure that spans cloud platforms, internal systems, and critical engineering services. Design and evolve systems for authentication, authorization, access governance, auditability, and policy enforcement with a strong focus on reliability, scalability, and secure-by-default design. Build foundational infrastructure and platform capabilities that are broadly used across engineering, research, and security teams. Improve the reliability, observability, performance, and op

PythonAWSRestAI
D
📍 United States· Full-time
✓ High-confidence listingCompany trend -95.9%

$192K – $259.8K/yr

Quick readStrong listing-quality and freshness signals

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: Drata is advancing the frontier of compliance automation by integrating intelligent AI capabilities into its platform. We are seeking a Senior AI Engineer to help design, build, and scale robust, high-impact AI systems that improve operational efficiency, enhance decision-making, and support trust-critical enterprise workflows. This role focuses on solving complex, real-world probl

TypeScriptPythonRestAI
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📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -88%

About the Team Codex is OpenAI's software engineering agent. Codex Security extends that work into one of the most important product areas in AI: helping organizations find, validate, prioritize, and fix real vulnerabilities in the software they build and depend on. The Codex Cyber team is building the product and platform foundations for AI-native application security. This includes Codex Security product experiences, cloud-based security analysis, platform controls across Codex, customer deployment and support tooling, and infrastructure that helps security researchers and cyber models improve over time. The team is early, small, and growing quickly, with a mandate to move fast and hire exceptional builders. About the Role We are looking for software engineers first: strong full-stack or product-minded generalists who can own ambiguous product and platform problems end to end. Security experience is helpful, and security curiosity is important, but this is not a role for security specialists who only occasionally write code. The right person is an excellent builder who is excited to work in security and can turn complex research, product, and customer needs into reliable systems. You will work across user-facing product surfaces, developer workflows, backend services, security analysis pipelines, cloud infrastructure, and internal tooling. You may build features that make Codex Security more useful for application security teams, systems that scale cloud-based security analysis, platform controls that make agentic coding safer, or infrastructure that helps security researchers and models become more effective. You will collaborate closely with engineering, product, security research, infrastructure, and customer-facing partners as Codex Cyber becomes a major product and platform investment for OpenAI. In this role, you will: Build end-to-end product features for Codex Security, from developer-facing interfaces to APIs, backend services, and workflow tooling. Own a

AWSRestAIGo
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -88%

About the Team The IT and Security organization builds the systems, data foundations, and automation that help OpenAI operate securely and reliably at scale. We support critical domains across identity, access, infrastructure security, enterprise systems, and internal productivity. As OpenAI grows, audit readiness and control assurance increasingly depend on reliable data: accurate system inventories, access populations, change records, configuration state, exception signals, and evidence generated directly from source systems. Our goal is to move beyond manual evidence collection and build scalable data products, automated validation, and continuous control monitoring that make security and IT controls measurable, repeatable, and defensible. About the Role We are looking for an IT Controls Data Engineer to build the data infrastructure that powers audit readiness, IT controls, evidence automation, and continuous control monitoring. In this role, you will design and maintain the pipelines, datasets, models, validation logic, dashboards, and evidence exports that make IT controls measurable, repeatable, and defensible. You will work across Security, IT, Infrastructure, Engineering, Finance Risk Management, and auditors to turn complex system behavior into reliable control data products. This is a technical builder role. The ideal candidate is strong in data engineering and analytics engineering, comfortable working with enterprise and security system data, and able to explain data lineage, source-system behavior, and control logic clearly to technical and audit stakeholders. You’ll be responsible for Building reliable data pipelines, models, and datasets for IT controls, including access, identity, configuration, change, ticketing, exception, and evidence data. Creating data quality, lineage, reconciliation, and completeness checks that make control data defensible for SOX and other audit use cases. Designing automated evidence generation workflows that produce compl

PythonSQLAWSAzure
B
📍 Albuquerque, NM, United States
✓ Quality checkedCompany trend -20.1%

Manufacturing Engineer (Associate or Experienced) Company: The Boeing Company Boeing Defense, Space & Security (BDS) Laser and Electro-Optical Systems (LEOS) site is seeking an Experienced Manufacturing Engineer for our advanced development and production manufacturing team located in Albuquerque, NM. The Boeing Laser and Electro-Optical systems (LEOS) group works to develop and implement next-generation technologies and products serving a variety of commercial and military customers. Our team focuses on rapid prototyping and precision production of advanced laser and electro-optical systems that satisfy challenging product performance requirements built in accordance with aerospace (AS9100) quality standards. Position Responsibilities: Design, develop and optimize manufacturing processes and tooling approaches for complex electro-optical aerospace parts and assemblies Collaborate with design engineers to ensure manufacturability and cost-effective production Review engineering drawings and provide comments to responsible engineer Participate in Integrated Product Teams (IPTs) to integrate technical solutions across multiple disciplines Participate in supplier selection and evaluation to ensure adherence to quality and delivery standards Write content for work instructions, travelers, and standard shop procedures Utilize electronic work instruction, material control and non-conformance management systems as needed to support production Ensure compliance with aerospace industry quality standards (e.g., AS9100, J-STD) Ensure the manufacturing work instructions and special processes follow safety and environmental regulations Assist in shop layout and

Supply ChainRecruitment
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📍 Hazelwood, Macau S.a.r., United States
✓ Quality checkedCompany trend -20.1%

Propulsion Engineer (Experienced or Senior) Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking a Propulsion Engineer to contribute to the development and qualification of a new propulsion system for a cutting-edge fixed-wing program in the St. Louis, MO , area. In this role, you will be an integral part of a larger Flight Sciences team consisting of propulsion, aerodynamics, and guidance, navigation and controls. As part of the propulsion team you will contribute to inlet development, engine integration and controls, testing, and qualification efforts. Come join the Boeing team as we develop next generation airplanes that will make aviation history Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Level Propulsion Engineer. Position Responsibilities: Defines requirements for propulsion systems within a model-based engineering environment Defines, coordinates and controls the functional and physical interfaces between the propulsion system and the vehicle Configures or designs propulsion sub-systems and components to meet all vehicle design and performance specifications Contributes to or leads a range of testing, analysis, modeling, and simulation activities aimed at predicting and validating system performance Defines and performs verification tests for propulsion sub-systems and components Review, processing and approval of engine and component qualification documentation Assist with propulsion ground and flight test planning Propulsion vendor management and coordination This position is expected to be 100% onsite. The selected candidate will b

Recruitment
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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 Berkeley, Macau S.a.r., United States
✓ Quality checkedCompany trend -20.1%

Quality Engineer (Associate or Experienced) Company: The Boeing Company Boeing Defense, Space & Security (BDS) has an exciting opportunity for a Quality Engineer to join our dynamic team in Berkeley, MO. Position Responsibilities: Represents Quality function on team activities to integrate contractual and Boeing Quality Management System requirements into all aspects of proposals and program processes and documentation Provides Quality interpretation of requirements Develops quality metrics, design and production certification plans for small programs to ensure compliance with contractual, Company and regulatory requirements Conducts capability assessments and process validations to support supplier selection activities Participates in various reviews to ensure quality attributes are incorporated into product designs Performs analysis, tests and process audits to ensure manufacturing and test readiness Provides material review dispositions for non-conformances Conducts RCCA and CAPA activities Analyzes non-conformance trends to evaluate effectiveness of corrective actions Recommends corrective actions to address non-conformances Performs benchmarking and other forms of analysis to ensure specified processes capability levels are achieved Supports Advanced Product Quality Planning (APQP) activities Works under general direction Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer scien

Recruitment
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📍 Berkeley, Macau S.a.r., United States
✓ Quality checkedCompany trend -20.1%

Experienced Engineering Technical Specialist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking Experienced Engineering Technical Specialists (Level 3) to join the team in Berkeley, MO. This position supports Risk Managed Framework compliance across multiple avionics test labs as well as the administration of embedded PCs and host PCs on avionics test benches. The Lab Infrastructure team is responsible for the design, modification, and troubleshooting of all test benches used in the avionics' lab to support systems integration testing on the F-15. Position Responsibilities Build and configure embedded PCs and host PCs on test benches Support RHEL 9 Installation, configuration, patching and maintenance of Linux server environments Support containerization Provide active directory management and file server management Troubleshoot user problems related to hardware, software, or processes Conduct monthly OS patching and anti-virus updates Create user accounts and reset passwords Run backups on workstations and servers Maintain compliance with Risk Managed Framework and NISPOM rules Keep facility signage up to date Maintain lab access list Travel may be required up to 10% of the time; domestically and/or internationally depending on business needs. This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Basic Qualifications (Required Skills/Experience) <ul

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