Software Certification Engineers Jobs

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. We’re excited to welcome a new cohort of graduates with a computer science or related major who are ready to leverage their skills to drive real-world impact and shape the future of finance! In our hybrid early career program, you’ll be paired with a tenured Affirmer and have an opportunity to collaborate in-person 3 days a week out of our New York City, or San Francisco offices. You'll experience the best of both worlds: the in-office experience and remote work. After the one-year, you can remain hybrid, go remote, or stay in an office. Opportunities are available across different tech stacks and teams so that you can find a perfect fit to launch your career with Affirm! What You'll Do With the support of your team, you will work on tasks that contribute to the team's projects and goals. You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work. You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime. You will contribute to a sense of community on your team by engaging in growth and development activities. What We Look For You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through co

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. We’re looking for an outstanding engineer to join our Test Frameworks & Tooling team where we design, build and scale tools and services that power the test automation lifecycle of Roblox services. Our systems span test frameworks, execution, orchestration and debugging, AI test generation, canary analysis. You will: Build and scale test automation infrastructure : Design, implement, and evolve the frameworks, runners, orchestration services, workflow integrations, and supporting infrastructure that power reliable testing across Roblox's supported platforms Advance the AI-native test lifecycle : Develop intelligent tooling that improves test authoring, selection, execution, maintenance, and failure triage, using AI to reduce manual effort and make testing more accessible and effective Develop test orchestration and intelligence : Build systems that connect test planning, test selection, execution, and failure analysis, enabling more efficient use of test infrastructure and faster feedback to engineers Improve test reliability and debugging : Build tools and services that improve test stability, observability, failure diagnosis, and maintenance across a large and evolving tes

About the Team & Role The Platform Security Engineering team builds the security features and frameworks that every Rubrik product runs on protecting hundreds of petabytes of data across thousands of enterprise customers globally , from encryption and certificate management to access control and platform hardening at scale. We're a small team with massive impact: the problem space covers the entire Rubrik portfolio, from performant core backend architecture to the AI-powered engineering workflows we and the rest of Rubrik now build with daily. This is a strong opportunity for new grads and early-career engineers who want real ownership on security-critical systems. You'll help solve problems like: How do we roll out post-quantum cryptography across the backup data path before it's an industry requirement? How do we let customers manage sessions and access against compromise, at enterprise scale? How do we build an access control engine that holds up against dynamic, customer-defined policies unique to a data management platform? How do we secure the AI agents and agentic developer workflows that are now embedded in how Rubrik engineers ship code? You'll work alongside experienced engineers and deeply technical managers who will mentor you as you grow, on a roadmap with genuine business impact. What You'll Do Security feature development Design and steer AI to write clean, well-tested code in Go, Scala, or Python for scalable, secure platform services. Collaborate with senior engineers on system design and architecture decisions. Identify attack surfaces and build solutions to harden Rubrik products. Triage, debug, and drive product/system issues to resolution with clear ownership. Use AI coding assistants and agentic workflows as a core part of your daily engineering, while learning to treat AI-generated code as untrusted input that gets the same security scrutiny as any other contribution. Security code and design reviews Review code and design docs from

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Software Engineer, Platform Access (L2). About the job This position is an engineering role within Twilio’s Cloud Native Foundations Team, suited to an engineer focused on identity, governance, and automated access control across multi-cloud environments. Our team manages identity federation, least-privilege access, and automated provisioning for hundreds of accounts across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). As an L2 engineer, you will help design, build, and operate access controls and platform security tools at scale. You'll get hands-on with multi-cloud IAM, contribute to Terraform-based infrastructure automation, and write code to ensure secure, seamless developer access—using modern AI-assisted tooling to move faster and ramp up your skills. Responsibilities In this role, you’ll: WEAR THE CUSTOMER'S SHOES: Help design, build, and operate automations and access

Position Overview As a Senior Staff Software Engineer on Diligent's Platform AI team, based out of our technical center of excellence in Vancouver, you will drive the architecture and technical direction of the services that bring AI research and models into production across Diligent's global product suite. You will partner with AI researchers, product managers, and Staff Engineers as peers — leading through influence across the Platform AI organization rather than through reporting authority, on secure, scalable AWS Serverless solutions that translate ML and LLM research into commercial-quality, production systems. Key Responsibilities Drive technical direction and architecture for ML/LLM systems across multiple AI platform teams, partnering with Staff Engineers rather than managing ICs in isolation. Design secure, scalable, fault-tolerant AI/ML solutions using AWS Serverless technology — event-driven, highly observable, with infrastructure as code. Evaluate and prototype new AI technologies (LLM frameworks, model providers, agentic tooling) to guide build-vs-buy decisions across the organization. Serve as the go-to contact for architecture problems and questions across the Platform AI org, and regularly present and guide architecture discussions department-wide. Mentor Staff Software Engineers and Applied Scientists through constructive code review and design partnership. Collaborate with Applied Scientists and Product teams to productize AI capabilities, translating multi-quarter AI strategy into execution roadmaps and representing engineering's perspective to senior leadership. Design, build, and scale search and retrieval systems — including OpenSearch and semantic/vector search — that power discovery, retrieval-augmented generation, and other AI-driven product features. Lead through ambiguity, helping teams navigate undefined problems to successful delivery. Required Experience/Skills 10-15+ years of professional experience developing and owning high-scale, s

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Software Engineer Grad, you will be part of a team that's building the future of data storage and management. You’ll apply your foundational knowledge to tackle challenging, real-world problems from low-level hardware to large-scale cloud systems. This role is a unique opportunity to directly contribute to mission-critical features that ensure our customers have a seamless, high-performance, and reliable data experience. WHAT YOU'LL DO Contribute to core product development: Take ownership of key tasks within the software development lifecycle, from ideation and design to implementation and testing. Innovate and solve complex problems: Research and develop solutions for challenges related to data efficiency, such as optimizing data deduplication and reclamation, or improving replication across wide-area networks. Enhance system performance and scalability: Work on projects that improve the performance of our software, ensuring it scales effectively with ever-increasing data volumes and hardware capabilities. Collaborate across teams: Partner with senior engineers and cross-functional teams to integrate new features and maintain a high standard of code quality through extensive automated testing. We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved le

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Software Engineer Intern, you’ll work on a unique, high-impact project that directly influences the next generation of data storage and cloud technology. You will own all critical pieces from concept to delivery, collaborating closely with experienced mentors and cross-functional teams to tackle complex challenges. This is your chance to gain essential, real-world development experience and leave a tangible mark on a product used by thousands of global customers. WHAT YOU'LL DO Take ownership of your assigned project's complete development cycle, including requirements gathering, technical design, implementation, and rigorous testing, while regularly reporting progress to your dedicated mentor and team Architect and implement new features, optimizations, or infrastructure tools for Everpure’s core platform, resulting in measurable improvements to product performance, stability, or operational efficiency Write comprehensive unit and integration tests to validate the functionality of your solutions, ensuring zero regressions and maintaining a high standard of product reliability Actively participate in design discussions and code reviews with senior engineers to refine your architectural skills and ensure all code adheres to world-class engineering standards and best practices We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Quality Engineering team helps Airbnb build high-quality software efficiently. We enable Airbnb engineers to build highly testable systems by building and using tools leveraging AI. We own and continuously improve product test cases, automation coverage, test automation tools, environments, and frameworks. We navigate Airbnb’s massive codebase, identifying weak spots, and help design and implement testable, fault-tolerant systems. The Difference You Will Make: Be a leader in Airbnb leveraging AI to redefine and accelerate Quality Engineering. As a Senior Software Engineer - Fullstack, you will help us meet this challenge by building and evolving comprehensive automation coverage for features and releases. You will work directly with the product engineering team to develop and maintain our test tools, write and test product code, participate in design reviews to architect testable systems, and guide designs and code to enhance modularity and testability. You are eager to understand complex systems top to bottom and thrive working across technologies and codebases. In addition, you excel at working through ambiguity, concept validation, and implementing best-in-class solutions. As a global company, our mission is to develop and maintain the necessary quality engineering processes that scale to meet the needs of both our external customers and internal teams. We strive to ensure that our product and support workflows deliver a seamless experience for guests, hosts, and support agents. A Typical Day: Leverage AI and tooling to lead the implementation of a tes

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Your role will be instrumental in designing the next generation of Affirm’s Checkout Platform to provide a world-class buying experience that puts customers first! We are seeking a Backend Software Engineer to build out financial products and features providing new levels of accessibility and flexibility to our users. You will work in a fast-paced team environment, designing and implementing new API’s and microservice interfaces to manage every users’ transaction with Affirm. You will also use your technical skillset to find opportunities to improve the performance and reliability of the systems that drive the user journey through purchasing with Affirm. Come join us as we build a beloved, lasting financial services brand predicated on honesty and trust. It’s going to be an amazing ride! What you'll do Work with technical leaders in the team to design and implement insightful forward-looking approaches that go beyond the direct team and solve large open-ended problems Actively own components of checkout systems and define their long-term health, while also improving the health of surrounding systems Collaborate with engineers within our team and across the organization to build the next generation of the checkout platform Learn and improve engineering standards, tooling, and processes across the checkout platform What we look for Take Ownership. You enjoy working with product and engineering leaders to develop detailed project definitions, and drive technical decisions within your team Execute. You have a proven track record of developing, testing, and shipping high-quality software at scale Collaborate. You communicate clearly both verbally and in writing. If anything, you trend towards over-communication Build Teams. You grow with engineers around you through sharing your learnings and pr

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Your role will be instrumental in designing the next generation of Affirm’s Checkout Platform to provide a world-class buying experience that puts customers first! We are seeking a Backend Software Engineer to build out financial products and features providing new levels of accessibility and flexibility to our users. You will work in a fast-paced team environment, designing and implementing new API’s and microservice interfaces to manage every users’ transaction with Affirm. You will also use your technical skillset to find opportunities to improve the performance and reliability of the systems that drive the user journey through purchasing with Affirm. Come join us as we build a beloved, lasting financial services brand predicated on honesty and trust. It’s going to be an amazing ride! What you'll do Work with technical leaders in the team to design and implement insightful forward-looking approaches that go beyond the direct team and solve large open-ended problems Actively own components of checkout systems and define their long-term health, while also improving the health of surrounding systems Collaborate with engineers within our team and across the organization to build the next generation of the checkout platform Learn and improve engineering standards, tooling, and processes across the checkout platform What we look for Take Ownership. You enjoy working with product and engineering leaders to develop detailed project definitions, and drive technical decisions within your team Execute. You have a proven track record of developing, testing, and shipping high-quality software at scale Collaborate. You communicate clearly both verbally and in writing. If anything, you trend towards over-communication Build Teams. You grow with engineers around you through sharing your learnings and pr

About Role: Rubrik Software Engineers are self-starters, driven, and can manage themselves. We believe in giving engineers responsibility, not tasks. Our goal is to motivate and challenge people to do their best work. Bottom line, if you have a limitless drive and like to win, we want to talk to you - come make history! What you’ll do: Build software using your strong background in distributed systems and cloud. Design, develop, test, deploy, maintain and improve the software. Manage individual projects priorities, deadlines and deliverables with your technical expertise. Experience you’ll need: Bachelor’s or Master’s degree or equivalent in computer science or related field 0-2 years of relevant work experience, Proficiency in one or more general purpose programming languages like Go, Java, C/C++, Scala, Python Experience with AWS/Azure/GCP or other public cloud technologies is a plus. Knowledge of Docker, Containers, Kubernetes, microservice architectures is a plus. Excellent problem-solving skills and attention to detail. Strong understanding of System Development Life Cycle (SDLC) methodology, design patterns, and software engineering principles Strong collaboration and communication skills. Ability to work independently or as part of a team on complex, time-sensitive projects. Join Us in Securing and Accelerating the World's AI Transformation Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes. Linkedin | X (formerly Twitter) | Instagram | Rubrik.com Inclusion @ Rubrik At Rubrik,

Duties and Responsibilities: Work Environment: The profile highlights the requirement of working independently in a remote setting while being a part of small teams. Effective communication with coworkers and stakeholders is emphasized, which is crucial for remote collaboration. Product Development: The main responsibility is to contribute to the development of a high-quality product that is competitive in the market. This involves implementing a scalable, stable, and user-friendly product capable of accommodating the company's growth. Collaboration: The profile stresses collaboration with experienced software engineers in various stages of Talkdesk product development. It also mentions collaboration with support engineers and customer support representatives to enhance usability and address technical issues. Agile Environment: The job requires proficiency in working within an agile software engineering environment. This involves adhering to practices like source code control, release cycles, testing, and continuous deployment. Technical Problem Solving: The role emphasizes the challenge of solving complex technical problems on a daily basis, which offers immediate visibility into the impact of your work and its value to customers. Qualifications: Software Engineering Background: Candidates are expected to have a background in software engineering, along with experience in object-oriented programming (OO) and test-driven development (TDD). Flexibility: The job requires the willingness and flexibility to switch between backend and frontend development challenges. This adaptability is valuable for a holistic understanding of the product. Programming Skills: Strong programming skills are emphasized, with a focus on producing quality code that is maintainable, efficient, reliable, and secure. Learning Orientation: The profile highlights the need for candidates to be open to learning new technologies and technical approaches in application development. This reflec

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Claude is getting good at research. Given a well-posed problem, it can read the literature, write and run simulations, analyze results, and iterate on a design across physics, materials, chemistry, and engineering. But most of the hardest problems in science and engineering aren't well-posed. They live inside companies and labs with their own data, tools, constraints, and experts, and progress depends on turning all of that into work a model can actually do and check. Our Applied AI, Science & Engineering team takes Claude to the scientists and engineers working on hard problems in energy, materials, hardware design, and other physical-world fields. We build the tools Claude needs to do real research and engineering work. Mostly that means software: the agent harnesses, integrations, evaluations, and working processes that turn a partner's problem into something Claude can make progress on and validate. We find real-world problems and test what we build through partner engagements, then feed our learnings back to our research and product teams. It's early, and the engineers who join now will shape how Claude gets applied to science and engineering. This is an engineering role first. You'll spend real time with domain experts, become the person who knows how to get Claude working in their field, and prototype quickly alongside