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MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. As the Site Reliability Engineering Manager for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. We are looking to speak to candidates who are based in Cork for our hybrid working model. Responsibilities Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations You may be a good fit if you Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams Possess a customer-focused mindset, treating internal developers as your primary users Value efficiency in processes and operations, and have a track record of optimizing team workflows Pref

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. This position is based at our office in Chennai, India. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. You will be the product manager working closely with the team whose mission is to strengthen and optimize site infrastructure by delivering essential upgrades, resource efficiency, and scalable solutions. You will be responsible for the direction and roadmap of a component of the Appian Cloud data plane that ensures reliable, high-performance operations for all Appian Cloud customer sites. This role is specifically focused on the cloud-native persistence and messaging layer. You will oversee the backend sub-systems—including technologies like S3 and Redis—that power the platform's internal data plane and core services. This component of the software is not directly user-facing but has strong implications on the scalability and reliability requirements our customers expect. What you will be doing: Prioritize and Define: Work on an agile team to prioritize, define, and ensure the success of infrastructure and managed services features for a high-level strategic roadmap. Stakeholder Collaboration: Prioritize what we should build and when by collaborating with stakeholders on product vision and strategy, while taking customer feedback into account. Technical Discussions: Define how infrastructure features will work through close collaboration with engineers in design sessions an

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. 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. About Okta Verify Team The Okta MacOS platform team is responsible for building Okta's MacOS Apps and SDKs. The Okta Verify app allows you to securely access your apps via 2-step verification, ensuring that you, and only you, can access your app accounts. It integrates with MacOS system features by communicating with our backend to and grant proper application access. Position Overview As a Senior SET, you will take end-to-end ownership of the test strategy, execution, and quality assurance for the Okta Verify macOS app, filling a critical gap as our existing framework scales to support advanced Apple feature sets. You will work closely with local engineers and cross-functional US-based mentors to design, build, and optimize scalable automation frameworks that completely replace manual testing validation for critical macOS authentication components. This role requires in-depth understanding of macOS system internals, native app archit

About the Role & Team Every AI insight, every experiment, every cohort at Amplitude starts with a query. Our in-house OLAP engine, Nova , processes trillions of events in real time — turning raw behavioral data into fast, trustworthy answers that power decisions for thousands of product teams worldwide. We’re entering a world where AI agents don’t just assist product teams — they ship features, run experiments, and make prioritization calls autonomously. What makes that possible is agents’ ability to verify their work against real product data continuously. That makes Nova the critical infrastructure in the loop, and as non-stop agents become the main source of queries, the demand on Nova’s throughput, correctness, and operational rigor grows dramatically. We’re looking for a Staff Software Engineer who wants to go deep on both the engine internals and the infrastructure underneath it. You’ll work across the full stack of a modern OLAP system — query planning and execution, columnar storage and encoding, distributed compute, caching, and cloud infrastructure — while driving meaningful improvements to performance, cost-efficiency, and reliability at scale. You’ll influence technical direction through your work, your design reviews, and your mentorship of other engineers on a team of ~10. This role is ideal for someone who finds real satisfaction in making a complex distributed system faster, cheaper, and more reliable — and who wants to do that work on a system that directly powers the product experience for thousands of customers. What You’ll Do Build and evolve core query engine infrastructure Work across Nova's query execution engine and distributed compute layer: query planning, columnar storage formats, encoding and compression, caching, and cluster-level resource management. Design and implement new capabilities as Nova expands to support more warehouse-imported data types, such as metrics, profiles, and dimensions. Design for high-throughput automated quer

About the Role & Team Every AI insight, every experiment, every cohort at Amplitude starts with a query. Our in-house OLAP engine, Nova , processes trillions of events in real time — turning raw behavioral data into fast, trustworthy answers that power decisions for thousands of product teams worldwide. We're entering a world where AI agents don't just assist product teams — they ship features, run experiments, and make prioritization calls autonomously. What makes that possible is agents' ability to verify their work against real product data continuously. That makes Nova the critical infrastructure in the loop, and as non-stop agents become the main source of queries, the demand on Nova's throughput, correctness, and operational rigor grows dramatically. We're looking for a Senior Software Engineer who wants to go deep on the engine internals and the infrastructure underneath. You'll own significant components of a modern OLAP system — across query execution, columnar storage and encoding, distributed compute, caching, and cloud infrastructure — and drive meaningful improvements to performance, cost-efficiency, and reliability. You'll grow your technical influence through the quality of your code, your design contributions, and your collaboration with other engineers on a team of ~10. This role is ideal for someone who finds real satisfaction in making a complex distributed system faster, cheaper, and more reliable — and who wants to do that work on a system that directly powers the product experience for thousands of enterprise customers. What You'll Do Build and improve core query engine components Contribute across Nova's query execution engine and distributed compute layer: query planning, columnar storage formats, encoding and compression, caching, and cluster-level resource management. Implement new capabilities as Nova expands to support more warehouse-imported data types, such as metrics, profiles, and dimensions. Help ensure Nova's components support

Join the MongoDB Server Query Execution team, and help us build a world-class distributed open-source database. Our team plays a crucial role in the performance and efficiency of MongoDB's data processing. We are responsible for building and improving the core execution engine that powers all queries, taking a logical query plan produced by the optimizer and turning it into reality. This includes developing the physical operators for data retrieval and manipulation, improving the runtime for complex analytical and transactional workloads, and owning critical components such as our new execution engine. In addition to the core server, we support the query execution needs of other major products like Atlas Streams, Atlas Search and Vector Search, and mongosync, making our work vital to the entire MongoDB ecosystem. You will be joining a globally distributed team with a significant presence in both North America and Europe. While this role is based in the NAMER region, you will regularly collaborate closely with colleagues across different time zones. We support both office-based work in our North America hubs like New York, as well as remote work. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. To meet the ever-increasing data demands of modern applications, we are actively evolving our query system; this includes strategically re-architecting and improving key components of our query execution engine. We need your help to design and build the core of a distributed, flexible schema document database. This role can be based out of one of our North America offices, such as NYC or Palo Alto, or remotely across North America. Candidate Profile 10+ years of hands-on, professional experience in query engine development or database internals Experience with building production-level code with a large user base, robust design structure and rigorous code quality Degree in Computer Science or

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. The Operating Systems team is critical in this mission, turning sophisticated hardware and AI capabilities into a reliable, trusted platform. Security is central to that work: we define trust boundaries, integrate hardware-backed protections, isolate sensitive context, and establish the guardrails that let AI applications and agents act safely, privately, and under user control. About the Role We’re looking for a Software Security Architect to define the security architecture for OpenAI’s next-generation operating system. You’ll work alongside hardware security architects and partner with operating system, silicon, firmware, privacy, and product teams to protect users, their devices, and their data. This is a senior, hands-on role for someone who can connect operating system internals, hardware-backed security, and real-world product constraints. Your work will shape the platform’s trust model, protect sensitive information, and set the technical foundations for AI that is safe, private, and under user control. In this role, you will: Define the operating system’s security architecture, trust boundaries, privilege model, and protections for sensitive user data. Partner with hardware security architects to integrate roots of trust, secure elements, trusted execution environments, and processor security capabilities into the operating system. Desig

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. ML Platform @ Roblox today supports hundreds of ML use cases and billions of inferences per day across Discovery, Safety, Engine, and much more. As a Model Optimization engineer on ML Platform, you will be responsible for digging deep into model internals to optimize performance, for both training and inference. We are looking for accomplished engineers to help us maximize performance of our platform. You Will: Optimize machine learning models for performance on GPU architectures, focusing on both training and inference workflows. Conduct low-level performance profiling analysis to identify bottlenecks in existing machine learning pipelines and propose actionable improvements. Contribute to the development of best practices and tooling for model optimization and deployment. Collaborate with cross-functional teams, including data scientists and software engineers, to integrate and deploy optimized models into production environments. Partner across organizations to build tooling, interfaces, and visualizations that make the ML@Roblox a delight to use. You Have: 6+ years of professional experience and a tool chest of system design experience upon which to draw to build performant system

We are a team of engineers that translate our real-world experience to help our user communities solve problems. With a focus on AI-accelerated workflows and next-generation developer ecosystems, you will have the opportunity to meet fast-moving teams where they are, helping them lay strong engineering foundations and broadening your impact to the developer community at large. This is a unique opportunity to use both your engineering depth and authentic storytelling skills to shape how the next wave of builders approach software health, scalability, and observability. What You’ll Do: Help developers hone their craft in an AI-accelerated world by exploring how AI coding assistants and rapid-prototyping tools change software workflows, and guiding teams on how to balance rapid prototyping with established engineering practices around performance, code health, and system reliability. Build in public by creating authentic, peer-to-peer technical content, sharing your engineering insights directly where modern developers collaborate in person and online. Drive a constructive, bidirectional feedback loop between fast-moving developer communities and our internal teams, translating real-world developer experiences into actionable product insights to shape our roadmap while advocating for user needs from the inside. Design and ship high-quality open-source boilerplate templates, quickstarts, and tools that make integrating observability seamless across AI native workflows, next-gen platforms (Vercel, Supabase, etc.), and cloud providers (AWS, GCP, Azure). Who You Are: A builder with approximately 10+ years of software engineering experience, ideally having shipped applications from scratch or worked within an early-stage startup environment where you've worn multiple hats. An AI-fluent developer who natively leverages AI coding assistants and rapid-prototyping tools as a core part of your regular, day-to-day development workflow. Multi-stack familiar, comfortable writing an

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices. For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America and Europe. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Pair closely with engineering and product to initiate and complete roadmap projects, no hand-offs Spot opportunities to redesign or refine key screens and flows, as well as smaller qualit

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices. For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Own the experience of our iOS and Android mobile apps, including guiding the adaptation of desktop features to mobile Pair closely with mobile engineers and product leads to initiate and complete mo

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices. For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Pair closely with engineering and product to initiate and complete roadmap projects, no hand-offs Spot opportunities to redesign or refine key screens and flows, as well as smaller quality issues an

Opportunity Overview: We are seeking a Technical, Hands-on Manager to lead a team in building AI-driven healthcare enterprise applications . In this role, you will combine strong people leadership with deep technical expertise to guide the development of scalable, data-intensive solutions that drive meaningful business impact. As a leader who is still technically involved , you will mentor and manage data scientists and analysts while having the ability to guide the team through evaluating, selecting, and implementing the right models , paired with an understanding of end to end workflow and ensure the delivery of scalable AI solutions . This position requires excellent communication and collaboration skills as you partner closely with internal stakeholders and cross‑functional engineering, product, and clinical teams . In our fast-paced environment, adaptability is key—your ability to reprioritize quickly and lead your team through evolving business needs will ensure maximum impact What you’ll do: Lead, mentor, and develop a high‑performing team of Data Scientists and ML Engineers, ensuring strong execution and continuous skill advancement. Contribute to event‑driven architecture design and implementation, enabling asynchronous processing and large‑scale system integration. Work seamlessly across functions—partnering with Data Scientists on model tuning, experimentation, and prompt design; collaborating with Product and Software Engineering to embed AI/ML into user-facing applications; engaging with DevOps/Platform Engineering on environment setup, CI/CD, monitoring, and reliability; and working with Data Engineering on pipeline design and ingestion strategies. Provide technical leadership in the effective use of AWS services such as Lambda, EC2, EMR, S3, Athena, Batch, Textract, Comprehend, Bedrock. Drive the implementation of project scope definition, effort estimation, and planning in close coordination with cross-functional teams. Conduct code reviews, pr

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 Join the FlashArray team to build high-performance, resilient storage software that powers mission-critical applications worldwide. As a core member of an agile engineering group, you will design and deliver zero-downtime algorithms that directly shape our enterprise storage and public cloud offerings. In this role, you will partner closely with global systems engineers and product teams to translate complex technical challenges into scalable, real-world solutions. Your work will directly impact how thousands of global enterprises manage, protect, and scale their data seamlessly. WHAT YOU’LL DO Design & Deliver Resilient Systems: Architect and implement high-performance algorithms for enterprise storage products, ensuring platform reliability, end-to-end delivery from concept to release, and six-nines availability. Expand Cloud Architecture: Extend core platform capabilities into public cloud environments (such as AWS), driving performance and agility for both traditional IT and cloud-native applications. Drive Problem Solving & Quality: Analyze and resolve complex systems software challenges, optimizing storage internals and contributing to continuous continuous platform upgrades. Collaborate & Mentor: Partner with multidisciplinary engineering peers to review code, refine architecture, and maintain high engineering standards across distributed software projects. WHAT YOU BRING Systems Programming Exp

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 the Team Lead for Initiator & Protocol Engineering, you will spearhead the critical bridge between our industry-leading FlashArray and the Linux/VMWare ecosystems. You will drive the performance and reliability of our storage protocol stacks—spanning NVMe over Fabrics and Fibre Channel—ensuring Pure Storage remains the gold standard for enterprise connectivity. Collaborating closely with cross-functional hardware and software teams, you’ll mentor a high-caliber engineering squad to solve complex kernel-level challenges and influence the global Linux upstream community. WHAT YOU'LL DO Own the Protocol Lifecycle: Lead the development, maintenance, and optimization of Linux and VMWare initiator stacks (NVMeoF, FC-SCSI, iSCSI) and target drivers to ensure seamless, high-performance integration with Pure FlashArray. Drive System Resilience: Architect enhancements for Fibre Channel and NIC driver stacks that improve RAS (Reliability, Availability, and Serviceability), specifically focusing on multipathing logic and link health monitoring. Technical Leadership & Mentorship: Guide a team of senior and junior engineers through complex project deliveries, conducting deep-dive code reviews and setting the technical bar for C/C++ and Python development within the kernel space. Solve the Impossible: Act as the final escalation point for the most challenging system-level bugs found in the field or internal testing, u