Senior Software Architect Jobs

About the Team The Privacy Engineering team builds the systems and technical foundations that govern how user data is understood, retained, accessed, and used across OpenAI. We partner with Product, Data, Infrastructure, Security, and Legal to translate policy and trust commitments into durable architecture and enforceable controls. Our work spans data inventory and mapping, classification and lineage, retention and deletion, access governance, purpose and usage controls, auditability, and lifecycle automation. We aim to make policy-aligned data handling the default while giving teams clear, reliable primitives for building and operating products at scale. About the Role We are looking for an experienced Software Engineer to drive the architecture and execution of user data governance across OpenAI. You will define technical direction, build shared platforms and controls, and lead cross-functional programs that make data flows discoverable, policies enforceable, and ownership explicit. This role is well suited to a senior engineer who can move between deep systems design and organization-wide influence, turn ambiguous requirements into pragmatic roadmaps, and operate high-trust systems end to end. This position is based in San Francisco. Relocation assistance is available. In this role, you will: Set the technical strategy and architecture for user data governance across data mapping, classification, lineage, retention, deletion, access, and permitted usage. Design and build shared services, APIs, metadata systems, and policy-enforcement mechanisms that make governance controls consistent, scalable, and auditable. Establish reliable inventories of user data, system ownership, data flows, and policy applicability across products, infrastructure, analytics, and research systems. Partner with Product, Data, Infrastructure, Security, and Legal leaders to define decision rights, translate requirements into controls, and drive adoption across teams. Own governance systems

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is expanding the boundaries of the Data Cloud to support mission-critical transactional workloads. Our goal is to deliver OLTP capabilities with the performance, reliability, simplicity, and scale customers expect from Snowflake, while creating a seamless experience across transactional and analytical data. We are looking for a Senior Engineering Manager – OLTP to lead engineering teams and leaders building core transactional database technology and the cloud infrastructure required to operate it at scale. You will help define the architecture and roadmap, grow the organization, and drive technology from design through production. AS A SENIOR ENGINEERING MANAGER – OLTP AT SNOWFLAKE, YOU WILL: Set technical and execution strategy for key areas of Snowflake's OLTP platform, translating product goals into architecture, roadmaps, and team plans. Lead and grow multiple engineering teams, developing managers and senior technical leaders while fostering a culture of ownership, technical excellence, and execution. Drive adoption of AI and agentic development practices to improve engineering velocity, quality, and productivity across the software development lifecycle. Drive architecture and technical decisions in areas such as transactions, concurrency control, low-latenc

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Staff Software Engineer, Product Security for our Security Foundations team. Product security sits at the center of the trust customers place in the Snowflake platform, and this role owns the hard technical problems that keep that trust intact. You will drive security architecture and secure-by-design practices across engineering teams, shaping how new products are built rather than reviewing them after the fact. AS A STAFF SOFTWARE ENGINEER, PRODUCT SECURITY AT SNOWFLAKE, YOU WILL: Set the technical direction for product security across multiple engineering teams, influencing architecture decisions before code is written Design and build security-critical services, frameworks, and controls that other engineering teams adopt as defaults Lead threat modeling and security design reviews for the platform's most complex and high-risk systems Partner with product and engineering leaders to embed secure-by-design principles into the development lifecycle Investigate and drive resolution of the highest-severity security issues, then eliminate the underlying class of problem, not just the instance Mentor senior and mid-level engineers, raising the security engineering bar across the organization Own initiatives end to end, from problem framing and scoping through de

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. As a Principal Engineer on the Data Platform team, you will be a technical anchor — setting direction, solving the hardest engineering problems, and elevating the entire team. You will work at the intersection of systems design, long-term architecture, and real-world engineering execution. In this specific role, you will lead the evolution of our declarative data pipelines, focusing on streaming ingestion and transformations. What You'll Do Drive the technical strategy and architecture for key Data Platform initiatives, focusing heavily on real-time data movement and incremental processing. Lead design reviews and set engineering standards across teams. Identify and resolve high-impact technical challenges and systemic bottlenecks to reduce latency and improve the efficiency of dynamic tables at cloud scale. Mentor and grow senior engineers; raise the engineering bar. Partner closely with product and infrastructure leadership on roadmap and direction. Continuous hands-on technical deliverables in the most critical areas. What We're Looking For 14+ years of software engineering experience with deep expertise in distributed systems. Demonstrated track record of defining and delivering platform-scale technical initiatives. Expert-level knowledge of streaming and/or batch data

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Come join us in this super high impact role as we build the future of Snowflake! Snowsight is the perfect place for data professionals to do their best work, and in this role you'll be making it even better. You'll join a wildly talented, multi-disciplinary team to not only reimagine existing Snowsight experiences, but also to extend it to exciting new surfaces and unlock high value business opportunities. Acting as a startup within Snowflake, together we'll iterate quickly, ship daily, and experiment continuously. This is a phenomenal opportunity to revolutionize how people across the world turn data into knowledge, and knowledge into opportunities. As a senior technical leader on this team, you'll have exceptional impact, both shaping and shipping amazing experiences — and helping the engineers around you do the very best work of their careers. YOU WILL: Act as a technical leader and deep domain expert across the stack, owning an area of the product end-to-end with an eye toward service health, quality, and customer experience. Lead large, cross-team projects from architecture through delivery — identifying opportunities, making the right trade-offs in the context of overall company goals, and driving them to completion. Leverage agentic AI to accelerate your work (and th

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Staff Software Engineer - Container Platform (Menlo Park) About the Role We build the foundational container platform that runs Snowflake's production, AI/ML, and CI workloads across AWS, Azure, and GCP, including a rapidly growing AI/ML footprint. Hundreds of large Kubernetes clusters under management and growing. The work is to make that fleet reliable, automated, and invisible to the thousands of engineers building on top of it. This is a staff-level role on a senior, high-performing platform team. You'll own hard problems end to end, drive technical direction across teams, and build the automation and platform abstractions that make operating at this scale sustainable. There is significant unsolved work ahead: improving the developer experience for thousands of internal engineers and continuing to scale the platform to meet Snowflake's growth. What You'll Do Own the design and delivery of large, complex platform initiatives spanning cluster lifecycle management, multi-cloud automation, and internal developer tooling. Identify and drive cross-team technical improvements across the platform, from architecture through adoption. Make and defend architectural trade-offs grounded in reliability, scalability, and operational reality. Act as a technical anchor for the team, dev

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Product Security team ensures that Snowflake products are built and shipped with the highest level of security. Our team drives the security posture of Snowflake products and is responsible for embedding security into every stage of the product lifecycle, from design through deployment and beyond. We design and build frameworks, systems and services that keep Snowflake secure. As a Principal Software Engineer II on the Product Security team, you will be the senior technical authority for Product Security and play a critical leadership role in shaping and advancing Snowflake’s security. This is a unique opportunity to define and influence our long-term security strategy and have a direct impact on the security of the Snowflake platform and the trust of our customers. You will operate across organizational boundaries, guiding major security initiatives, influencing architectural decisions at the highest levels, setting the technical direction for the organization, and ensuring consistent security excellence across all product teams while working closely with business leaders to advance Snowflake’s business. The role requires deep expertise in security, software engineering, distributed systems, software infrastructure, AI/ML, applied cryptography, threat modeling and clou

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. As a Senior Forward Deployed Engineer (FDE), you will be embedded with customers to lead the modernization of their data and application ecosystem using the Snowflake AI Data Cloud. You will especially focus on modernizing their Spark and Data Engineering focused workloads. You will partner closely with clients to understand their business challenges and design, build, and implement cutting-edge data solutions on Snowflake. Your role is crucial in enabling customers to harness the full potential of their data, driving insights, and powering AI initiatives. You'll act as a trusted technical advisor, ensuring customers achieve significant business value and success with Snowflake. WHAT YOU WILL BE RESPONSIBLE FOR: Software Development : Design, build, and deploy robust software systems, tooling, and automation required to support customer solutions on Snowflake. Create comprehensive documentation for developed solutions, technical configurations, and best practices. Data Engineering & Platform Implementation : Design and implement scalable data pipelines and modern data architectures on Snowflake. Ensure data quality, integrity, and efficient processing within the customer's modern data environment. Performance Optimization & Best Practices : Analyze and optimize data

F/A-18 Senior Systems Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking a Senior Systems Engineer to join the F/A-18 Systems Engineering Integration and Test (SEIT) Team in Berkeley, MO . The Senior Systems Engineer is responsible for leading cross-functional integration to drive engineering excellence in the execution of our F/A-18 software development activities. The individual selected for this role will be primarily focused on the Technical Integration role for Software Development and Advanced Systems activities. Position Responsibilities Ensure Engineering Excellence: Responsible for leading integration across multiple engineering and program teams to ensure safety, technical excellence, and product integrity. Drives adherence to Boeing and program processes, setting high standards for quality and performance Systems Engineering Approach: Ensure an integrated systems engineering approach. Take ownership to manage requirements and ensure full traceability. Manage the configuration of the integrated system to ensure dependencies are well understood. Responsible for ensuring comprehensive certification and verification activities, demonstrating a commitment to excellence Build Strategic Partnerships: Develop and nurture strong relationships with the United States Navy (USN), engineering functions, and program management. Leverage these partnerships to enhance collaboration and drive program success Manage Technical Baseline: Oversees the technical baseline, including mission systems configuration, technical performance measures, architecture diagrams, and Risk Identification and Opportunity (RIO) assessments. Foster

Position Overview We are looking for a Software Engineer II to build and deliver scalable software solutions across our products. You will work on modern web applications and cloud-based services using Node.js, React, TypeScript, AWS, PostgreSQL, MSSQL, and Docker, while contributing to AI-enabled features and integrations. You will collaborate closely with other engineers, product managers, and cross-functional teams to develop reliable, maintainable, and production-ready solutions. This role provides an opportunity to work with modern AI technologies including Python, AWS Bedrock, MCP, RAG, and agentic AI workflows while developing strong expertise in cloud-native software engineering. What You'll Do Develop and maintain scalable backend services and APIs using Node.js, TypeScript, and JavaScript. Build responsive and maintainable frontend applications using React. Design and implement integrations with AWS services and contribute to cloud-native application development. Develop and maintain applications using PostgreSQL and MSSQL, including writing efficient queries and working with database schemas. Build, test, and deploy applications using Docker and modern CI/CD practices. Contribute to AI-enabled product features using Python, AWS Bedrock, RAG, MCP, and AI integration patterns. Work with the team to integrate LLM capabilities, APIs, tools, and data sources into production applications. Write clean, maintainable, and well-tested code following established engineering practices. Participate in code reviews, technical discussions, debugging, and production issue resolution. Develop unit and integration tests and contribute to improving application quality and reliability. Monitor application performance and troubleshoot issues across development and production environments. Collaborate with senior engineers and architects to implement technical solutions aligned with product and engineering requirements. Stay current with emerging technologies, particularly in

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the Role: As a Forward Deployment Architect, you will serve as a hands-on senior technical architect on the Applied AI Engineering team, owning the end-to-end design and delivery of AI-driven business transformation projects. You'll work closely with pre-sales teams to scope technical integration and implementation strategies, translating business requirements into architectural solutions. Once opportunities move to post-sales, you'll own the detailed technical designs from original scoping documents and drive execution including hands-on coding to build proofs-of-concept, custom integrations, and solution prototypes that validate technical feasibility. As the technical owner of the customer relationship, you'll partner cross-collaboratively to ensure successful delivery. Your role spans from understanding domain-specific customer needs to architecting scalable, agent-based AI solutions using DevRev's platform**, with direct involvement in implementing key technical components and debugging complex integration challenges. This position requires a unique blend of enterprise architecture expertise, AI solution design, hands-on development skills, customer empathy, and cross-functional collaboration. You'll act as

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. At Okta, we are building the future of secure, enterprise-grade cloud automation and system connectivity. We are looking for a Software Engineer to join our global Automation Engineering team to design, scale, and govern our enterprise integration substrate using AWS cloud services and modern iPaaS platforms. This is a individual contributor role for a hands-on system engineer who executes moderately complex tasks, builds platform components and collaborates under senior guidance. What You'll do : Contribute technical design and execution for automation initiatives within the team, creating paved paths that enable builders across Okta to connect enterprise systems seamlessly. Design, build, and deploy high-throughput event-driven integration flows , API gateways, and async orchestration workflows using AWS architectures and iPaaS platforms. Build reusable frameworks , developer SDKs, self-service primitives, and integration templates to streamline automation delivery. Develop and maintain AWS cloud services and modern iPaaS tooling, driving scalable architecture, reliability, and builder enablement. Partner with operations, security, and platform teams to strengthen monitoring, observability, structured audit logging, and automated governance. Actively participate in code reviews, team agile ceremonies, and technical discussions Collaborate with security, compliance, and business stakeholders to ensure self-service automations are secure, resilient, zero-tr

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions. If you’re one of the best and brightest, a highly-motivated innovator, a fast worker, and a fierce competitor, you might be just the person we’re looking for! Entrata’s Research and Development department is seeking a Software Engineer. You will spend a lot of time working with senior architects and directors, designing database schema, and laying out the basic code architecture so an offshore team can run with it. You will also be tasked with projects that you will own and see through to completion.

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As the Manager, Solutions Architects for our Enterprise team in the San Francisco Bay area, you'll lead a distributed group of intermediate and senior Solutions Architects serving enterprise customers in the West sales territory. You'll guide your team to act as trusted advisors to GitLab prospects and customers, helping them validate GitLab's Enterpris

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Security Software Engineer on the Production IAM team, you will set the technical direction for how identity and access work across Roblox's production infrastructure, from the mTLS-based identity that services use to authenticate to one another, to the privileged access controls that govern how engineers reach production. The team is accountable for Roblox's machine and workload identity platform, its centralized authorization engine, its production access management platform, production PKI and certificate lifecycle, and just-in-time privileged access for engineers. As an individual contributor in Production IAM, you will define multi-year strategy, drive alignment across Roblox Platform, mentor senior and staff engineers, and personally build the hardest parts of these systems. As AI agents become first-class actors in production, you will also help pioneer how they get identity, prove who they are, and receive safely-scoped access. You will Lead the architecture for production identity and access. Define and evolve the end-to-end design for machine, workload, human, and AI-agent identity across our hybrid on-prem and cloud fleet, making secure access invisible when