Your expertise will be crucial in building proactive security strategies that align with our business goals and protect the company from an ever-evolving threat landscape. This position demands deep expertise in security principles and a comprehensive understanding of the entire infrastructure stack and IAM systems to design robust, future-ready security solutions.

You will be instrumental in safeguarding our systems' resilience and integrity against ever-evolving cyber threats. You will play a critical role in shaping our security strategy for modern platforms across AWS, Azure, GCP, network infrastructure, storage, and SaaS solutions, help establish a strong least privilege (PoLP) model, providing specialized IAM expertise, and securely supporting SaaS with sensitive information (NHI).

You will also be a key contributor in building our internal strategy for secure AI development. Additionally, you will support the secure integration of SaaS platforms such as Google Workspace, collaboration tools, and GTM systems, maintaining alignment with enterprise security standards.

Close collaboration with cross-functional teams is essential to embed security throughout the technology stack.

The impact you will have:

• Design and implement secure, scalable reference architectures for the Databricks IT across Cloud Infra (Compute, DBs, Network, Storage), SaaS, Custom Built Applications, Data & AI systems.
• Establish and enforce security controls for: Core Security Areas: - Databricks Workspace Management: Workspace isolation, Unity Catalog for data governance.
• Secure Networking: VPC configs, PrivateLink, IP Allow Lists.
• Identity and Access Management (IAM): SSO, SCIM user provisioning, RBAC via Un, Strong MFA best practices for enterprise identities and customers.
• Data Encryption: At rest and in transit, customer-managed keys for critical assets.
• Data Exfiltration Prevention: Admin console settings, VPC endpoint controls.
• Cluster Security: User isolation, compliance with enhanced security monitoring/Compliance Security Profiles (HIPAA, PCI-DSS, FedRAMP).
• Offensive Security: Test and challenge the effectiveness of the organization’s security defenses by mimicking the tactics, techniques, and procedures used by actual attackers.
• Specialized Security Functions: - Non-human Identity Management: Design and implement secure authentication and authorization for automated systems (service accounts, API keys, machine identities), focusing on automation and integration with existing identity management systems.
• IAM Best Practices: Develop and document comprehensive Identity and Access Management policies, including user provisioning, de-provisioning, access reviews, privileged access management, and multi-factor authentication, ensuring security and compliance.
• Data Loss Prevention (DLP): Implement DLP solutions to identify, monitor, and protect sensitive data across endpoints, networks, and cloud environments, preventing unauthorized access, use, or transmission.
• SaaS Proxy Design and Implementation: Design and implement cloud-based proxies for SaaS applications (SASE solutions) to provide secure access, enforce security policies, monitor user activity, and protect against threats.
• Cloud Infrastructure Best Practices: Establish and document best practices for VPC configurations, cloud networking, and infrastructure as code using Terraform, ensuring secure network segmentation, routing, firewalls, and VPNs for consistent, automated, and secure deployments.
• Least Privilege Access for Data Security: Design and implement data security controls based on the principle of least privilege, ensuring users and systems have only the minimum necessary access through fine-grained controls, data classification, and regular access reviews.
• Guide internal IT on Databricks’ security and compliance certifications (SOC 2, ISO 27001/27017/27018, HIPAA, PCI-DSS, FedRAMP), and support security reviews/audits.
• Support incident response, vulnerability management, threat modeling, and red teaming using audit logs, cluster policies, and enhanced monitoring.
• Stay current on industry trends and emerging threats in GenAI, AI Agentic flow, MCPs to enhance security posture.
• Advise executive leadership on security architecture, risks, and mitigation.
• Mentor security engineers and developers on secure design and best practices.

What we look for:

• Bachelor’s degree in Computer Science, Information Security, Engineering, or a related field
• Master’s degree in Computer Science specifically in Information Security or a related discipline is strongly preferred
• Minimum 12 years in cybersecurity, with 5+ in security architecture or senior technical roles.
• Experience in FedRAMP High systems/ GovCloud preferred.
• Must have direct experience designing and securing enterprise platforms in complex multi-cloud environments, deep knowledge of enterprise architecture and security features (control plane/data plane separation, network infra, workspace hardening, network segmentation/ isolation), and hands-on experience automating security controls with Terraform and scripting.
• Proven expertise securing data analytics pipelines, SaaS integrations, and workload isolation in enterprise ecosystems.
• Experience with Enterprise Security Analysis Tools and monitoring/security policy optimization.
• Deep experience in threat modeling, design, PoC, and implementing large-scale enterprise solutions.
• Extensive hands-on experience in AWS cloud security, network security, with knowledge of Zero Trust, Data Protection, and Appsec.
• Strong understanding of enterprise IAM systems (Okta, SailPoint, VDI, Entra ID) and Data Protection.
• Expert experience with SIEM platforms, XDR, and cloud-native threat detection tools.
• Expert in web application security, OWASP, API security, and secure design and testing.
• Hands-on experience with security automation is required, with proficiency in AI-assisted development, Python, Cursor, Lambda, Terraform, or comparable scripting/IaC tools for operational efficiency.
• Industry certifications like CISSP, CCSP, CEH, AWS Certified Security – Specialty, AWS Certified Solutions Architect – Professional, or AWS Certified Advanced Networking – Specialty (or equivalent) are preferred.
• Ability to influence stakeholders and drive alignment.
• Strategic thinker with a passion for security innovation, continuous improvement, and building scalable defenses.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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Software Engineer, Reliability

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

Job Description

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

Join the engineering teams that bring OpenAI’s ideas safely to the world!!

The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role

As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload.

In this role, you will:

• Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands.

• Build and maintain the load, chaos and synthetic testing software leveraged by development teams to make the systems they design and operate more reliable.

• Build and maintain automation tools to streamline repetitive tasks and improve system reliability.

• Build and maintain the platform for CPU/storage, GPU, and network lifecycle management to drive efficiency, accountability and support dynamic optimization of our resources.

• Implement fault-tolerant and resilient design patterns to minimize service disruptions.

• Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability.

• Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world.

• Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability.

You might thrive in this role if you:

• Have a track record of accelerating engineering reliability by empowering your fellow engineers with excellent tooling and systems.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

• Enjoy seeking out and addressing bottlenecks and areas for performance improvement in our systems.

• Utilize Infrastructure as Code (IaC) principles to automate infrastructure provisioning and configuration management.

• Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).

• Proven experience as an SWE focused on reliability or a similar role in a fast-paced, rapidly scaling company.

• Strong proficiency in cloud infrastructure.

• Proficiency in programming languages.

• Experience with containerization technologies and container orchestration platforms like Kubernetes.

• Knowledge of IaC tools such as Terraform or CloudFormation.

• Excellent problem-solving and troubleshooting skills.

• Strong communication and collaboration skills.

• Experience with

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $255K – $385K

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

We’re hiring Software Engineers to join our Applied Infrastructure organization, and more specifically for our Database Systems and Online Storage teams. These teams operate with a high degree of autonomy and are deeply collaborative, with a shared mandate to raise the bar on safety, reliability, and velocity across OpenAI.

About the Role

You’ll be at the heart of scaling and hardening the infrastructure that powers some of the most widely used AI systems in the world. You’ll help ensure our systems are highly reliable, observable, performant, and secure—so researchers can iterate quickly, and products like ChatGPT and the OpenAI API can serve millions of users safely and effectively.

This is a hands-on, high-leverage role for engineers who thrive on ownership, love solving deep technical problems across the stack, and want to work on systems that support cutting-edge research and deploy at global scale. You’ll play a key part in shaping technical direction, proactively improving system resilience, and collaborating closely with infra, product, and research teams to turn complex infrastructure into reliable platforms.

In this role you will:

• Design, build, and operate reliable and performant systems used across engineering.

• Identify and fix performance bottlenecks and inefficiencies, ensuring our infrastructure can scale to the next order of magnitude.

• Dig deep to resolve complex issues.

• Continuously improve automation to reduce manual work. Improve internal tooling and our developer experience.

• Contribute to incident response, postmortems, and the development of best practices around system reliability and scalability.

You might thrive in this role if you:

• Have a deep understanding of distributed systems principles and a proven track record in building and operating scalable and reliable systems.

• Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems.

• Have experience operating orchestration systems such as Kubernetes at scale and building abstractions over cloud platforms

• Are comfortable working in Linux environments, and with tools like Kubernetes, Terraform, CI/CD pipelines, and modern observability stacks.

• Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

• Are comfortable with ambiguity and rapid change.

Qualifications:

• 4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead

• A passion for distributed systems at scale with a focus on reliability, scalability, security, and continuous improvement.

• Proven experience as an reliability engineer, production engineer, or a similar role in a fast-paced, rapidly scaling company.

• Strong proficiency in cloud infrastructure (like AWS, GCP, Azure) and IaC tools such as Terraform. Proficiency in programming / scripting languages.

• Experience with containerization technologies and container orchestration platforms like Kubernetes.

• Experience with observability tools such as Datadog, Prometheus, Grafana, Splunk and ELK stack.

• Experience with microservices architecture and service mesh technologies.

• Knowledge of security best practices in cloud environments.

• Strong understanding of distributed systems, networking, and database technologies.

• Excellent problem-solving skills and ability to work in a fast-paced environment.

About OpenAI

OpenAI is an AI research and deployment company that aims to develop and apply general-purpose technologies to align with human values.

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team:

The Database Systems team specializes in high-performance distributed databases. Our team built Rockset, the real-time search, analytics, and vector database that powers all vector search and retrieval augmented generation (RAG) at OpenAI. In addition to retrieval, as an online database, Rockset powers core functionality across all of OpenAI's product lines and many critical internal use cases.

About the Role:

We are looking for engineers passionate about distributed systems, close-to-the-metal performance optimization (our core engine is written in C++), and building scalable database infrastructure from the ground up. As an engineer on the Database Systems team, you'll contribute to the core database engine, driving improvements across ingestion, query execution, indexing, and storage. You'll partner with teams across OpenAI to unlock new product capabilities and help scale online database reliability and throughput as usage grows by orders of magnitude.

In this role you will:

• Design, build, and operate high-performance distributed systems

• Identify and resolve performance bottlenecks to scale infrastructure to the next order of magnitude

• Define long-term technical direction and guide system evolution

• Collaborate with product, engineering, and research teams to deliver scalable and reliable infrastructure

• Dig deep into complex production issues across the stack

• Contribute to incident response, postmortems, and best practices for system reliability

You might thrive in this role if you:

• Have significant experience building, scaling, and optimizing distributed systems at scale

• Are curious about database internals, storage engines, or low-latency query systems

• Enjoy debugging challenging performance issues in complex, high-throughput systems

• Have experience operating production clusters at scale (e.g., Kubernetes or other orchestration systems)

• Think rigorously about scalability, correctness, and reliability

• Thrive in fast-paced environments with high autonomy and impact

Qualifications:

• 4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead

• Experience with distributed systems at scale, with a strong focus on performance, reliability, and scalability

• Strong communication skills and ability to collaborate across highly technical and cross-functional teams

• Proficiency in a systems programming language such as C++ (our core engine is written in C++) is strongly preferred

• Fluency in cloud environments (AWS, GCP, Azure) and IaC tools (Terraform or similar)

• Experience with Linux systems, CI/CD pipelines, and modern observability stacks (Prometheus, Grafana, etc.)

• Domain knowledge in areas such as databases, data systems, storage engines, indexing, and query processing is a plus but not required

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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What you'll do

• Architect, implement, and manage resilient, scalable, and highly available infrastructure systems.
• Lead initiatives to automate manual operations, deployment, and monitoring processes to improve reliability and reduce toil.

What you need

• Strong proficiency in Linux/Unix system administration and internals.
• Proven experience in cloud platforms — AWS, Azure, or GCP.

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