You'll perform penetration testing, conduct threat modeling, and provide guidance to engineering teams on secure design and best practices. This role also involves developing security tooling, researching emerging threats, and contributing to the continuous improvement of CoreWeave's overall security posture.

Some of what you'll work on:

• Perform penetration testing as well as purple and red team exercises.
• Conduct threat modeling, code reviews, and design reviews for development teams.
• Research new attack techniques and develop strategies to counter them.
• Develop and enforce security best practices and standards, maintaining internal compliance.
• Provide solutions to complex security issues, manage multiple tasks, and prioritize effectively in a fast-paced environment.
• Present technical security information to both technical and non-technical audiences.
• Maintain technical documentation, reports, and security tooling with attention to detail.
• Participate in other security-related initiatives as assigned.

Who You Are:

• 5+ years of experience in offensive information security roles.
• Proficiency in at least one programming or scripting language (e.g., Go, Python, C/C++) for automation, code reviews, and tooling.
• Hands-on penetration testing experience and familiarity with offensive security tools.
• Strong technical knowledge of Linux operating systems and containerized environments.
• Experience securing Kubernetes and understanding related security practices.
• Able to navigate ambiguity, identify root causes, and solve complex security problems.
• Excellent written and verbal communication skills with strong technical documentation abilities.
• Capable of working independently while managing multiple priorities in a fast-paced environment.
• Strong desire to continuously learn and adopt new technologies and security techniques.

Preferred:

• Experience with firmware reverse engineering, analyzing binaries, bootloaders, and embedded systems for vulnerabilities.
• Relevant certifications such as Sec+, Net+, OSCP, or equivalent.
• Experience with EDR tuning, detections-as-code, or threat hunting as part of a Blue Team.
• Deep understanding of business-wide security best practices and implementation strategies.

Wondering if you're a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Here are a few qualities we've found compatible with our team.

If some of this describes you, we'd love to talk.

• You love hunting vulnerabilities and proactively improving security.
• You're curious about evolving attack vectors and defense strategies.
• You're an expert in offensive security techniques and tooling, with a passion for safeguarding systems.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!

We're in an exciting stage of hyper-growth that you will not want to miss out on.

We're not afraid of a little chaos, and we're constantly learning.

Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking.

We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems.

As we get set for takeoff, the organization's growth opportunities are constantly expanding.

You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.

Come join us!

The base salary range for this role is $165,000 to $242,000.

The starting salary will be determined based on job-related knowledge, skills, experience, and market location.

We strive for both market alignment and internal equity when determining compensation.

In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we've posted represents the typical compensation range for this role.

To determine actual compensation, we review the market rate for each candidate which can include a variety of factors.

These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance
• 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets.

New hires will be invited to attend onboarding at one of our hubs within their first month.

Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace.

All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship.

If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information.

To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the information under an appropriate export license, or (C) otherwise exempt from the regulations.

Applicant must also comply with all applicable laws and regulations related to the handling and transfer of export-controlled information.

By applying for this position, applicant acknowledges that they have read, understand, and will comply with these requirements.

Failure to comply with these requirements may result in termination of employment, revocation of any security clearances, or other disciplinary action.

Applicant must also agree to undergo a background investigation and obtain any necessary security clearances prior to commencing employment.

Please note that this position is subject to U.S. Government export regulations and may require applicant to sign a non-disclosure agreement (NDA) prior to commencing employment.

Applicant must also agree to comply with all applicable laws and regulations related to the handling and transfer of export-controlled information.

By applying for this position, applicant acknowledges that they have read, understand, and will comply with these requirements.

Failure to comply with these requirements may result in termination of employment, revocation of any security clearances, or other disciplinary action.

Applicant must also agree to undergo a background investigation and obtain any necessary security clearances prior to commencing employment.

Please note that this position is subject to U.S. Government export regulations and may require applicant to sign a non-disclosure agreement (NDA) prior to commencing employment.

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This role requires strong technical depth, sound operational judgment, and comfort operating in a fast-moving environment. You will work closely with Security, Systems Engineering, People Ops, and Engineering to support the full employee lifecycle while continuously improving reliability, automation, and operational maturity.

Key responsibilities include administering identity and access management platforms, managing macOS and Windows endpoints, administering ITSM platforms, and troubleshooting across SaaS, endpoint, identity, and network layers. You will also create and maintain technical documentation for systems and operational procedures.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including medical, dental, and vision insurance, company-paid life insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, ability to participate in employee stock purchase program (ESPP), mental wellness benefits through Spring Health, family-forming support provided by Carrot, paid parental leave, flexible PTO, catered lunch each day in our office and data center locations, and a casual work environment.

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About the Role: The Application Security team at Anthropic is at the forefront of building security into every phase of the software development lifecycle. As an Application Security Engineer, you will partner closely with software engineers and researchers to ensure that security is a core consideration from initial design through implementation. You will lead threat modeling and secure design reviews to proactively identify and mitigate risks early, and help with continuous risk assessment. You will build tools and systems to support developers shipping code securely, adhering to secure coding best practices.

Responsibilities:

• Help secure AI products and internal tools that are introducing industry-novel security risks and pushing established security boundaries
• Lead “shift left” security efforts to build security into the software development lifecycle
• Conduct secure design reviews and threat modeling. Identify and prioritize risks, attack surfaces, and vulnerabilities
• Develop tooling to scale security code reviews and respond to developer questions, including advising developers on remediating vulnerabilities and following secure coding practices
• Manage Anthropic's vulnerability management program, including integrating data ingestion pipelines, coding logic to prioritize vulnerability fixes, supporting teams remediating vulnerabilities and developing automated systems at scale
• Oversee Anthropic's bug bounty program. Set scope, validate submissions, perform root cause analysis, coordinate remediation with engineering teams, and award bounties. Cultivate relationships with the ethical hacker community
• Collaborate closely with product engineers and researchers to instill security best practices. Advocate for secure architecture, design, and development
• Develop and document security policies, standards, and playbooks. Conduct security awareness training for engineers

Requirements:

• 5+ years of hands-on experience in application and infrastructure security, including securing cloud-based and containerized environments
• Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
• Lead with empathy, a collaborative spirit, and a learning mindset to work cross-functionally with engineers of all levels to build security into the software development life cycle
• Leverage creative and strategic thinking to reduce risk through secure design and simplicity, not just controls
• Possess broad security knowledge to connect the dots across domains and identify holistic ways to decrease the overall threat surface
• Are keen to distill complex security concepts into clear actions and drive consensus without direct authority
• Embody a proactive mindset to thread security throughout the product lifecycle through activities like threat modeling, secure code review, and education
• Have a strong grasp of offensive security to anticipate risks from an adversary's perspective, not just check compliance boxes
• Bring experience with modern application stacks, infrastructure, and security tools to implement pragmatic defenses
• Are practiced at collaborating cross-functionally and effectively balancing security requirements with business objectives
• Advocate for security fundamentals like least privilege, defense-in-depth, and eliminating complexity that could sub-linearly scale security through smart design

Preferred Qualifications:

• Hands-on technical expertise securing complex cloud environments and microservices architectures leveraging technologies like Kubernetes, Docker, and AWS / GCP
• Exposure to offensive security techniques like vulnerability testing, bug bounty, pen testing, and red team exercises
• Familiarity with AI/ML security risks such as prompt injection, data poisoning, model extraction, etc. and mitigations
• Experience building security tools, applications, and automated tools
• Solid foundational knowledge of both software and security engineering principles and are keen to continue learning
• Excellent communication skills, able to distill complex security topics for broad audiences
• Worked and thrived in fast-paced environments, and comfortable navigating ambiguity

Annual Compensation Range:

$300,000-$405,000 USD

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How to Apply:

If you're interested in this role, please submit your application through our website. We look forward to reviewing your application!

Note:

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

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Responsibilities

• Monitor and analyse security alerts and logs to identify potential threats and anomalies
• Develop, implement, and maintain detection rules and correlation logic in our SIEM platform
• Conduct thorough investigations of security incidents, performing root cause analysis and impact assessments
• Lead incident response efforts, coordinating with relevant teams to contain and mitigate threats
• Create and maintain incident response playbooks and runbooks
• Perform regular threat hunting activities to proactively identify potential security risks
• Develop and refine metrics and reporting to track the effectiveness of detection and response capabilities
• Collaborate with other security teams to improve overall security posture and incident handling processes
• Stay current with emerging threats, attack techniques, and defensive strategies in the cloud-native and AI domains

Basic Qualifications

• Bachelor's degree in Computer Science, Cybersecurity, or a related field
• 3-5 years of experience in security operations, incident response, or a similar role
• Strong understanding of cybersecurity principles, attack techniques, and defensive strategies
• Proficiency in at least one scripting language (e.g., Python, Rust) for automation and tool development
• Experience with SIEM platforms and log analysis tools
• Familiarity with cloud environments (e.g., AWS, GCP, Azure) and their security features
• Knowledge of network protocols, system administration, and common attack vectors
• Strong analytical and problem-solving skills with attention to detail
• Excellent communication skills and ability to work effectively under pressure

Preferred Skills and Experience

• Relevant security certifications (e.g., GCIH, GCIA, SANS)
• Experience with threat intelligence platforms and their integration into detection processes
• Familiarity with AI/ML security implications, particularly those outlined in the OWASP LLM Top 10
• Knowledge of software supply chain security and SBOM analysis
• Experience with containerized environments and Kubernetes security
• Experience in building custom security tools or integrations to enhance detection and response capabilities
• Interest in leveraging AI to improve threat detection and automate response processes
• Contributions to open-source security projects or threat research
• Experience with digital forensics and malware analysis

Compensation and Benefits

$200,000 - $340,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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As a Senior Engineer, you will be dedicated to Shield AI's next-generation aircraft program, adopting our existing infrastructure to advance new capabilities. You'll design, build, and scale C++-based simulation tools that test and validate the full aircraft software stackrom autonomy to avionicsefore it ever flies. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence.

Responsibilities:

• Build and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++.
• Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.
• Integrate core physics, dynamics, and system models (aerodynamics, propulsion, controls) into a unified simulation environment.
• Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
• Develop infrastructure for CI integration, parallel simulation execution, and automated regression testing.
• Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity.
• Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI.
• Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering.

Requirements:

• BS or MS in Computer Science, Aerospace, Robotics, or related field.
• 5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization.
• Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems.
• Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.
• Understanding of rigid-body dynamics, kinematics, and basic flight mechanics.
• Familiarity with DevOps-integrated simulation workflows, including CI/CD and containerized environments.
• Ability to debug complex build and runtime environments (CMake, dependency management, logging, profiling tools).
• Strong collaboration and communication skills across software, hardware, and systems disciplines.

Preferred Qualifications:

• Experience with distributed or cloud-based simulation (e.g., cluster orchestration, Kubernetes).
• Working knowledge of Python for data analysis, test automation, or simulation orchestration.
• Familiarity with sensor and actuator modeling, and integrating avionics or autonomy software within simulation.

Salary: $158,000 - $215,000 a year

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You'll work on mission-critical software that bridges responsive user interfaces with robust backend systems, enabling human operators to plan, command, and monitor autonomous assets with precision and reliability.

Responsibilities:

• Design, develop, and optimize ground control software that enables low-latency communication with UAVs and other autonomous platforms.

• Build high-performance client and server applications that support telemetry processing, mission planning, and real-time control.

• Implement responsive user interfaces with React and TypeScript for operator workflows and visualization of spatial data, sensor feeds, and mission state.

• Collaborate closely with teams across autonomy, embedded systems, backend, and UX to deliver integrated, field-ready solutions.

• Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault-tolerance.

• Lead development efforts on key features or subsystems, from early design through deployment and iteration.

• Write high-quality, well-tested code and participate in peer design/code reviews.

Requirements:

• Senior: Bachelor's degree with 5+ years of relevant experience, or Masters with 4+ years, or PhD with 2+ years.

• Staff: Bachelor's degree with 7+ years of relevant experience, or Masters with 6+ years, or PhD with 4+ years.

• Senior Staff: Bachelor's degree with 10+ years of relevant experience, or Masters with 9+ years, or PhD with 7+ years.

• Demonstrated experience building real-time or performance-sensitive applications,preferably for UAVs, robotics, autonomous vehicles, or simulation environments.

• Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration.

• Experience with web technologies, especially React, TypeScript/JavaScript, and Node.js.

• Strong software engineering fundamentals including version control, testing, debugging, and performance profiling.

• Proven ability to deliver high-quality software as part of a collaborative engineering team.

Preferences:

• Experience with GCS software, mission planning tools, or real-time visualization platforms.

• Familiarity with API-driven systems using REST or gRPC, and communication protocols like WebSocket or custom telemetry formats.

• Knowledge of standards such as STANAG 4586, Cursor on Target (CoT), or MAVLink.

• Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD practices.

• Exposure to distributed systems and cloud integration for telemetry data pipelines.

• Understanding of security best practices in control systems and networked applications.

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Responsibilities

• Build and maintain service frameworks and shared libraries
• Drive AI adoption, championing AI tools, harnesses, and agentic software development, and establishing standards for APIs, background jobs, and event-driven systems.
• Improve developer workflows (local development, testing, CI/CD, service scaffolding)
• Partner with infrastructure teams to help define how services run in production
• Ensure services are observable, reliable, and production-ready by default
• Drive adoption of platform standards across the organization
• Contribute to system design and architecture across multiple domains

Qualifications

• A minimum 10 years in software engineering, site reliability engineering, or platform engineering
• Advocate for the integration of AI throughout the SDLC to accelerate and improve delivery velocity.
• Strong experience building platforms and paved paths for systems in production environments
• Experience with distributed systems and service-oriented architectures
• Proficiency in modern programming languages such as, Kotlin, Typescript, Go, Python
• Familiarity with cloud infrastructure and containerized environments (e.g., GCP, Kubernetes, Docker)
• Experience building shared libraries, frameworks, or internal tooling
• Ability to work across teams and influence technical direction

Nice to Have

• Familiarity with observability tooling (metrics, logging, tracing)
• Experience with CI/CD systems and developer tooling
• Exposure to high-scale or multi-service environments

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Cresta's AI Agent team is building enterprise-grade AI Agents that can operate inside real-world contact center environments. A critical part of that mission is enabling our AI Agents to seamlessly integrate with customers' CCaaS platforms (Contact Center as a Service), including voice and digital channels , and to smoothly transition conversations between AI and human agents when needed.

This team is focused on building the backend systems that allow our AI Agents to:

• Integrate deeply with leading CCaaS platforms
• Participate in live customer conversations across voice and chat
• Maintain full conversation state and context
• Perform real-time actions within the CCaaS ecosystem
• Seamlessly hand off conversations to human agents , without losing context, history, or workflow state
• Support human agents with AI assistance after transfer

We are looking for strong backend engineers who want to work at the intersection of distributed systems, real-time communication, enterprise integrations, and AI Agent orchestration.

As a Staff Backend Engineer, you will lead the architecture and technical direction of Cresta’s AI Agent integration platform. You will define how our AI Agents connect to, operate within, and scale across complex enterprise ecosystems.

Responsibilities:

• Lead the architecture and evolution of Cresta’s AI Agent integration framework across CCaaS platforms
• Design scalable, extensible backend systems that manage real-time conversation state, session lifecycle, and context propagation
• Establish architectural patterns for AI-to-human handoff that ensure durability, reliability, and seamless customer experience
• Define integration strategies for voice, chat, messaging, routing, and agent desktop APIs across enterprise platforms
• Drive system design for high availability, low latency, and fault tolerance in real-time environments
• Set standards for observability, monitoring, incident response, and operational excellence
• Partner closely with ML engineers to operationalize AI Agent capabilities into production-grade systems
• Influence technical roadmap and prioritization in collaboration with engineering leadership
• Mentor senior engineers and raise the bar for backend engineering excellence across the organization
• Lead complex cross-team technical initiatives from design through production rollout

Qualifications We Value:

• Bachelor’s degree in Computer Science or related field
• 8+ years of experience building scalable backend systems in production environments
• Demonstrated experience leading architecture for large-scale distributed systems
• Deep expertise in API design (REST, gRPC) and service-oriented architectures
• Strong understanding of real-time communication systems and low-latency system design
• Experience designing integrations with third-party enterprise platforms and APIs
• Proven track record of driving technical direction across teams
• Experience with containerized environments (Kubernetes, Docker)
• Experience with cloud platforms such as AWS, GCP, or Azure
• Strong expertise in reliability engineering, observability, and enterprise-grade security
• Experience with CCaaS platforms, contact center systems, or real-time communications is highly valued
• Familiarity with AI Agents, LLM-based systems, or AI orchestration platforms is a strong plus

Perks & Benefits:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
• Paid parental leave to support you and your family
• Monthly Health & Wellness allowance
• Work from home office stipend to help you succeed in a remote environment
• Lunch reimbursement for in-office employees
• PTO: 3 weeks in Canada

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

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About the role:

Cresta's AI Agent team is building enterprise-grade AI Agents that can operate inside real-world contact center environments. A critical part of that mission is enabling our AI Agents to seamlessly integrate with customers' CCaaS platforms (Contact Center as a Service), including voice and digital channels , and to smoothly transition conversations between AI and human agents when needed.

This role is focused on building the backend systems that allow our AI Agents to:

• Integrate deeply with leading CCaaS platforms
• Participate in live customer conversations across voice and chat
• Maintain full conversation state and context
• Perform real-time actions within the CCaaS ecosystem
• Seamlessly hand off conversations to human agents , without losing context, history, or workflow state
• Support human agents with AI assistance after transfer

We are looking for strong backend engineers who want to work at the intersection of distributed systems, real-time communication, enterprise integrations, and AI Agent orchestration.

This is not a pure research role , it is about building production-grade infrastructure that enables AI Agents to operate reliably in mission-critical customer environments.

Why This Role Is Unique:

• AI + Real-Time Systems: Work on infrastructure that enables AI Agents to participate in live conversations at scale.
• Enterprise-Grade Integrations: Design robust integrations with major CCaaS platforms and customer systems.
• Human-AI Collaboration: Build the systems that make AI-to-human handoff seamless, contextual, and reliable.
• High-Impact Engineering: Your work directly determines how smoothly AI Agents operate in production environments.

If you’re a strong backend engineer who wants to apply your expertise to real-world AI systems operating inside complex enterprise ecosystems, this role offers that opportunity.

Responsibilities:

• Design and build scalable backend services that integrate Cresta’s AI Agents with customers’ CCaaS platforms.
• Architect systems that manage real-time conversation state, context propagation, and session lifecycle.
• Implement seamless AI-to-human handoff mechanisms, ensuring full context transfer and minimal disruption to the customer experience.
• Develop secure and reliable integrations with CCaaS APIs (voice, chat, messaging, routing, agent desktop, etc.).
• Collaborate closely with ML engineers and AI researchers to operationalize AI Agent capabilities in live environments.
• Ensure high availability, low latency, and strong observability for real-time conversation systems.
• Implement authentication, authorization, compliance, and enterprise security best practices across integrations.
• Drive improvements in reliability, performance, and scalability in production environments handling high interaction volumes

Qualifications We Value:

• Bachelor’s degree in Computer Science or related field.
• 5+ years of experience building scalable backend systems in production environments.
• Strong experience designing and maintaining robust APIs (REST, gRPC).
• Solid understanding of distributed systems and real-time communication architectures.
• Experience integrating with third-party enterprise platforms and APIs.
• Experience working with CCaaS platforms or contact center systems is a strong plus.
• Familiarity with AI Agents, Virtual Agents, or LLM-based systems is a plus.
• Experience with containerized environments (Kubernetes, Docker).
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Strong understanding of system reliability, observability, and security in enterprise environments.

Perks & Benefits:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
• Paid parental leave to support you and your family
• Monthly Health & Wellness allowance
• Work from home office stipend to help you succeed in a remote environment
• Lunch reimbursement for in-office employees
• PTO: 3 weeks in Canada

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

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The Common Engineering Components (CEC) team, part of Synopsys Central Engineering, develops and maintains productivity-enhancing platforms, tools, and services enabling Synopsys R&D engineers, Field Application Engineers (FAEs), and customers to efficiently identify, diagnose, and resolve issues in Synopsys' Electronic Design Automation (EDA) tools. Our work is critical to the performance and scalability of EDA solutions used in silicon chip design.

We are looking for a Senior Staff Software Engineer to join our team. As a Senior Staff Software Engineer, you will be responsible for delivering enterprise-scale software solutions to internal and external stakeholders, ensuring reliability and performance at every stage. You will collaborate with multiple global engineering teams to achieve common goals and successful project delivery. You will define technical requirements and drive implementation of next-generation productivity platforms. You will mentor engineers, fostering a culture of technical excellence, collaboration, and innovation within the team.

You will utilize C/C++, Python, Unix/Linux system-level knowledge, and advanced debugging and performance profiling tools to deliver robust, scalable solutions and resolve critical issues efficiently. You will accelerate Synopsys' capability to deliver cutting-edge solutions for customers and partners worldwide. You will enable seamless integration of advanced computing platforms into chip design and verification workflows. You will drive operational efficiency and scalability for mission-critical applications and services. You will influence technology strategy and architecture decisions, shaping the future of Synopsys' product offerings. You will empower engineering teams through mentorship, fostering innovation and technical growth. You will enhance customer satisfaction by delivering reliable, high-performance software solutions tailored to evolving industry needs.

You will have 8–14 years of professional software development experience, ideally in High Performance Computing (HPC) or large-scale systems. You will have strong Unix/Linux systems programming background, including multithreading, synchronization, sockets, and inter-process communication (IPC). You will have proven experience designing and working with distributed systems, including networking, databases, and containerized environments. You will have proficiency in C/C++ and Python, with hands-on experience using debugging and performance profiling tools. You will have excellent written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.

You will be an inclusive leader and collaborator, committed to fostering diverse perspectives and teamwork. You will be analytical and detail-oriented, with a passion for solving challenging technical problems. You will be adaptable and proactive, able to thrive in dynamic, rapidly evolving environments. You will be curious and innovative, always seeking new ways to leverage technology for impactful results. You will be a mentor and coach, dedicated to supporting the growth and development of others.

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The Application Security team at Anthropic is at the forefront of building security into every phase of the software development lifecycle. In this hands-on technical role, you will partner closely with software engineers and researchers to ensure security is a core consideration from initial design through implementation.

You will lead threat modeling and secure design reviews to proactively identify and mitigate risks early, and help with continuous risk assessment. You will build tools and systems to support developers shipping code securely, adhering to secure coding best practices.

Your insights will shape our tooling, detection capabilities, and defenses against emerging threats to AI/ML. You'll develop the standards, processes, and educational resources that enable all Anthropic engineers to be security champions.

Responsibilities:

• Help secure AI products and internal tools that are introducing industry-novel security risks and pushing established security boundaries
• Lead “shift left” security efforts to build security into the software development lifecycle
• Conduct secure design reviews and threat modeling. Identify and prioritise risks, attack surfaces, and vulnerabilities
• Develop tooling to scale security code reviews and respond to developer questions, including advising developers on remediating vulnerabilities and following secure coding practices
• Manage Anthropic's vulnerability management program, including integrating data ingestion pipelines, coding logic to prioritise vulnerability fixes, supporting teams remediating vulnerabilities and developing automated systems at scale
• Oversee Anthropic's bug bounty program. Set scope, validate submissions, perform root cause analysis, coordinate remediation with engineering teams, and award bounties. Cultivate relationships with the ethical hacker community
• Collaborate closely with product engineers and researchers to instill security best practices. Advocate for secure architecture, design, and development
• Develop and document security policies, standards, and playbooks. Conduct security awareness training for engineers

You may be a good fit if you:

• Have 5+ years of hands-on experience in application and infrastructure security, including securing cloud-based and containerized environments
• Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
• Lead with empathy, a collaborative spirit, and a learning mindset to work cross-functionally with engineers of all levels to build security into the software development life cycle
• Leverage creative and strategic thinking to reduce risk through secure design and simplicity, not just controls
• Possess broad security knowledge to connect the dots across domains and identify holistic ways to decrease the overall threat surface
• Are keen to distill complex security concepts into clear actions and drive consensus without direct authority
• Embody a proactive mindset to thread security throughout the product lifecycle through activities like threat modeling, secure code review, and education
• Have a strong grasp of offensive security to anticipate risks from an adversary's perspective, not just check compliance boxes
• Bring experience with modern application stacks, infrastructure, and security tools to implement pragmatic defenses
• Are practiced at collaborating cross-functionally and effectively balancing security requirements with business objectives
• Advocate for security fundamentals like least privilege, defence-in-depth, and eliminating complexity that could sub-linearly scale security through smart design

Strong candidates may also:

• Hands-on technical expertise securing complex cloud environments and microservices architectures leveraging technologies like Kubernetes, Docker, and AWS / GCP
• Exposure to offensive security techniques like vulnerability testing, bug bounty, pen testing, and red team exercises
• Familiarity with AI/ML security risks such as prompt injection, data poisoning, model extraction, etc. and mitigations
• Experience building security tools, applications, and automated tools
• Solid foundational knowledge of both software and security engineering principles and are keen to continue learning
• Excellent communication skills, able to distill complex security topics for broad audiences
• Worked and thrived in fast-paced environments, and comfortable navigating ambiguity

The annual compensation range for this role is $300,000 - $405,000 USD.

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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

As a Security Engineer on Detection & Response, you’ll help protect OpenAI’s most sensitive assets– including our intellectual property, customer data, and the infrastructure that supports them– by building and operating the systems we use to detect suspicious activity and respond effectively when it matters. You’ll work across endpoints, identity, cloud, hyperscale compute infrastructure, and datacenter-adjacent layers, partnering closely with security teams and infrastructure owners to define the telemetry and response requirements we need and building tooling and automation where it delivers the most leverage.

In this role, you will:

• Build and evolve Detection & Response capabilities across OpenAI’s infrastructure, products, and research environments, with an emphasis on high-signal detection and reliable operational response.

• Engineer detection pipelines and tooling: develop rule lifecycle management, measurement/quality loops (coverage, precision, latency), tuning processes, and safe rollout patterns.

• Automate response and investigations by building workflows that reduce toil (triage, enrichment, containment, evidence capture) and improve time-to-understand/time-to-contain.

• Partner with other Security teams and system/infrastructure owners across the company to ensure new systems ship with the right telemetry, threat models, and response playbooks from day one.

• Define D&R requirements and drive visibility across endpoints, identity, SaaS, cloud, Kubernetes: identify telemetry/control gaps, prioritize them, and advocate for fixes with partner teams (and implement directly when it’s the fastest/most effective path).

• Evaluate and respond to emergent security concerns in a frontier AI lab environment, such as detection and response strategies for agents operating across infrastructure at scale.

You might thrive in this role if you:

• Have hands-on threat detection and/or incident response experience, including building detections, running investigations, and improving operational playbooks.

• Understand modern adversary tradecraft (TTPs) and can translate it into practical detection strategies and response actions.

• Bring a threat modeling mindset. You can evaluate new infrastructure or features, identify D&R implications (what could go wrong, what we’d need to see, how we’d respond), and turn that into concrete requirements for teams shipping the system.

• Have experience working in Kubernetes/containerized environments, including building detections from cluster telemetry and understanding common failure and attack modes (workloads, nodes, control plane, networking).

• Are comfortable reasoning about lower-level infrastructure and datacenter risks, such as firmware/BMC surfaces, network segmentation/telemetry, and hard-to-observe control paths.

• Have experience across major cloud platforms (Azure, AWS, GCP, OCI), and can design cloud-agnostic detection approaches where possible.

• Like building automation that replaces repetitive D&R work, including thoughtfully using agent-style workflows where they meaningfully reduce toil, while keeping outcomes measurable, auditable, and safe.

• Are energized by new problem areas at a forward-leaning technology company: e.g., thinking through how to detect and respond to agents operating across systems at scale, and turning those ideas into pragmatic telemetry and response requirements.

• Communicate clearly and collaborate well across teams. You can translate D&R needs into clear requirements, align stakeholders, and drive follow-through across technical and non-technical audiences.

• Are comfortable with scripting and enjoy using AI/agent tooling to accelerate investigations and automation—more “directing” than doing everything by hand.

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, voices, and experiences that form the full spectrum of humanity.

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