Performance And Systems Engineer Jobs

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. Role Overview We are seeking a Senior Software Engineer to build and evolve Okta’s web platform using React and Next.js. In this role, you will bring deep frontend expertise to solve complex engineering problems autonomously from designing scalable page systems and optimizing performance to integrating CMS APIs and refining developer workflows. You work independently on ambiguous problems but thrive in collaboration with designers, content architects, and fellow engineers. AI-assisted development tools are part of how this team works, and you leverage them fluently to move faster while maintaining high standards. This is a hands-on IC role with significant autonomy and real ownership, ideal for an engineer who combines deep technical understanding with strong collaborative instincts. Key Responsibilities Frontend Development & Architecture: Build and maintain reusable page templates, features, and component systems in Next.js using TypeScript and React. Design scalable data-fetching patterns from headless CMS APIs (GraphQL and REST), transforming structured content into polished frontend experiences. Collaborate on content model design with content architects, ensuring CMS data maps cleanly to frontend templates. Implement responsive, accessible, high-performance UI following established design system patterns and propose improvements when existing patterns fall short. Design System Collaboration: Work closely with the design system team to assemble pag

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Frontend Software Engineer on the Operator Core Tooling pod, you'll play a vital role in building the robust services that power our critical operations tooling platform. Your work will directly empower our micromobility operations teams by providing them with intuitive and efficient tools, significantly improving their daily workflows as they manage our fleet. You'll collaborate closely with business leaders, front-end developers, and data scientists across Lyft to achieve this impact. Responsibilities: Help define the roadmap and architecture based on technology and business needs Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various tradeoffs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Lead projects from idea to positive execution Incorporate considerations for business context and failure modes in your work Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices See the direct impact of your work on the efficiency of our operating teams Experience: 3+ years of software engineering industry Advanced knowledge of JavaScript Experience working with modern JavaScript frameworks, like React Experience working with NodeJS and Express applications Experience working with design systems (e.g. Bootstrap, Salesforce Lightning, GitHub Primer) Good understanding of web performance and how browsers and DOM work Experience with unit, integration, and end-to-end testing Experience designing, building and improving a set of team owned components Culture of investigating and solvin

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We're looking for a Senior Software Engineer to join the Growth team at Discord. Our team owns how new users discover, understand, and get started with Discord — from the first moment someone encounters us on the web through the onboarding experience that turns them into engaged members. You'll work across the stack to build the systems that acquire and activate users at scale, whether that means improving how Discord shows up across the web or designing the in-product experiences that help new users find their footing. This is a high-impact role where you'll directly influence how Discord grows. This person will report to the Senior Engineering Manager for Growth. What you'll be doing: Build and optimize user-facing experiences that improve how people discover, understand, and get started with Discord Develop scalable backend systems that serve dynamic, high-performance content at scale Work across the full stack — frontend (TypeScript, React) and backend (Python) — wherever the problem leads Design and run A/B experiments to measure the impact of your work on user acquisition and activation Partner with Product, Design, and Data Science to identify high-impact growth opportunities and iterate quickly Maintain performance and reliability standards for user-facing properties Write code that's readable, reviewable, and built with the next engineer in mind What you should have: At least 5 years of professional software engineering experience Strong expertise in TypeScript and React with a track record of delivering high-performance frontend experiences Practical experience with Python and backend framewor

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We're looking for a Senior Software Engineer to join the Growth team at Discord. Our team owns how new users discover, understand, and get started with Discord — from the first moment someone encounters us on the web through the onboarding experience that turns them into engaged members. You'll work across the stack to build the systems that acquire and activate users at scale, whether that means improving how Discord shows up across the web or designing the in-product experiences that help new users find their footing. This is a high-impact role where you'll directly influence how Discord grows. This person will report to the Senior Engineering Manager for Growth. What you'll be doing: Build and optimize user-facing experiences that improve how people discover, understand, and get started with Discord Develop scalable backend systems that serve dynamic, high-performance content at scale Work across the full stack — frontend (TypeScript, React) and backend (Python) — wherever the problem leads Design and run A/B experiments to measure the impact of your work on user acquisition and activation Partner with Product, Design, and Data Science to identify high-impact growth opportunities and iterate quickly Maintain performance and reliability standards for user-facing properties Write code that's readable, reviewable, and built with the next engineer in mind What you should have: At least 5 years of professional software engineering experience Strong expertise in TypeScript and React with a track record of delivering high-performance frontend experiences Practical experience with Python and backend framewor

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Our Applied ML team aims to reform how our users interact with Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include helping our users resolve issues with Stripe faster or making it easier for our users to sign up and navigate Stripe. We are using the latest LLMs as well as fine-tuning our own models. We're an end-to-end team going from ideas to models to shipping in production. You can learn more about our team’s work from this recent talk . What you’ll do As a machine learning engineer, you will be responsible for analyzing opportunities, proposing ideas, training & evaluating ML models, running experiments, and deploying everything to production. You will also have the opportunity to contribute to and influence ML architecture at Stripe as well as be a part of a larger ML community. Responsibilities Our team operates fluidly and here are some problems you may tackle: How do we evaluate a system offline & online? How do we improve performance to match (and beat) humans? How do we ensure model quality doesn’t degrade online? Does fine-tuning an LLM give us better performance? What are the right OSS and in-house platforms we should invest in? And in the process you will: Develop pipelines and automated processes to train and evaluate models in offline and online environments Integrate ML models into production systems and ensure their scalability and reliab

About the Team The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security. We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits. About the Role As a part of the Privacy Engineering Team, you will work on the frontlines of safeguarding user data while ensuring the usability and efficiency of our AI systems. You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and data memorization. Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and membership inference attacks. This position is located in San Francisco. Relocation assistance is available. In this role, you will: Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale. Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks—balancing utility with provable guarantees. Develop internal libraries, evaluation suites, and documentation that make cutting-edge privacy techniques accessible to engineering and research teams. Lead deep-dive investigations into the privacy–performance trade-offs of large models, publishing insights that inform model-training and prod

About the Team ChatGPT is a rapidly evolving system: new capabilities ship continuously, product surfaces change quickly, and usage patterns shift week-to-week. Supporting that pace requires infrastructure that can handle real production constraints—high concurrency, unpredictable traffic patterns, complex dependency graphs, and frequent change. The ChatGPT Infrastructure team builds and operates the platforms that enable fast iteration without compromising performance or reliability. We design shared systems, data paths, rollout mechanisms, and reliability guardrails that teams rely on to ship changes to ChatGPT at scale. We focus on high-leverage infrastructure: primitives and “golden paths” that incorporate operational lessons as defaults, so engineers don’t need to rediscover failure modes, latency pitfalls, or integration issues each time they build something new. About the Role We’re hiring Senior and Staff Engineers to design and build infrastructure systems that underlie ChatGPT and multiply the effectiveness of teams building user experiences. This is not a support-only role. It’s a platform-building role: you’ll define interfaces, develop core abstractions, and create tooling to make safe, fast iteration the norm. Your work will reduce friction, prevent regressions, improve performance, and ensure systems scale gracefully as the product grows. Where You Can Have Impact You might work on one or more of the following areas (without being restricted to any single area): Platform foundations & frameworks: Core libraries, service frameworks, and shared components that standardize system building, integration, and evolution. Scalability & performance primitives: Patterns and infrastructure that reduce tail latency, improve throughput, and keep costs predictable as demand increases. Reliability guardrails: Mechanisms that prevent outages by design—rate limiting, load shedding, dependency isolation, backpressure, safe fallbacks, and robust regression contr

Vehicle Management System (VMS) Hardware Engineer (Experienced) Company: The Boeing Company Boeing Defense, Space & Security (BDS) Flight Systems Engineering Capability is currently seeking an Experienced Vehicle Management Systems Hardware Engineer to join the Air Dominance Vehicle Management System (VMS), Hardware team located in Berkeley, MO. You will work across engineering disciplines to help us design elements of the Vehicle Management Systems (VMS) hardware. You will collaborate with our requirements and labs teams to implement and test your designs. Mechanical, Electrical, Aerodynamics, and other engineers are all welcome – to succeed in this role, you will need to leverage your area of expertise and quickly learn on the job about other areas to develop capabilities for our Vehicle Management System Computer. You will get to see tangible results of your efforts as you contribute to exciting aircraft development programs in St. Louis. Develops and documents moderately complex electronic and electrical s system requirements. Design hardware, and interfaces specifications. Test and validates to ensure designs meet operational and functional requirements Assist in monitoring supplier performance to ensure integration and compliance with requirements Solves problems concerning fielded hardware over the entire product cycle Researches specific technology advances for potential application to company business Analyze solutions to ensure ongoing operation of products thru life cycle Position Responsibilities: Lead requirements decomposition and traceability from customer need to testable design Develop, document,

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! We’re looking for a Research Scientist to advance how high-quality data and environments for AI agents are created. You’ll build and optimize pipelines that combine real-world data, automated generation, and human expert input. Working with domain experts, academic partners, customers, and our product and engineering teams, you’ll scale these pipelines to target frontier model performance gaps and expand data and environment diversity. Your work will amplify human knowledge and judgement, enabling experts to create and refine data and agentic environments that strengthens Snorkel’s position as the frontier data lab. This role is ideal for someone who wants to advance frontier AI through data and environment creation and enjoys turning research into reusable, scalable systems. Location: San Francisco, New York, OR REMOTE Main Responsibilities Design, implement, and optimize reusable pipelines that combine AI capabilities with expert judgment to accelerate data and agentic environment creation. Design and run rigorous experiments to validate proof-of-concept approaches, measure their impact on data quality, pipeline efficiency, and model performance, and communic

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. What this job involves: This position leads operations and maintenance activities for critical building systems, managing a high-performing engineering team to ensure maximum infrastructure availability and client satisfaction. The role combines hands-on technical expertise with leadership responsibilities, overseeing both preventive and corrective maintenance programs while maintaining compliance with regulatory requirements and safety standards. Your day-to-day tasks will include: Lead operations and maintenance on assigned shift, monitoring performance and directing service requests with minimal disruption to building operations Operate and monitor critical system equipment including HVAC, UPS systems, generators, chillers, and building management systems Provide technical training and support to shift engineers and maintenance technicians while fostering team development Implement and oversee preventative maintenance programs, including scheduling, task delegation, and parts ordering Process work orders for preventative and corrective maintenance, consulting with staff to identify materials and complete documentation Respond immediately to operationa

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. The people of Adyen are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Financial Products The Financial Products solution is responsible for all financial products that we offer on top of payments processing to our customers. Examples of these are our Banking, Issuing, Fx, and Capital products. Whether we work with large partner platforms, medium sized local merchants, or major international enterprise businesses, our products need to meet our clients expectations and seamlessly fit into their systems. What you’ll do: Work on complex technical projects from requirements analysis through design, implementation, testing and launch into production. Be hands-on and contribute to the implementation. Identify and improve parts of the platform to make it more robust and scalable. Bring your own point of view on best engineering practices. Your code will be used at scale and you are expected to think in that mindset when building features. We launch fast and iterate often. Concretely, this means that within your first few weeks, you will bring live functionalities that impact many merchants and shoppers. Build APIs and tooling according to quality principles such as performance and code quality. Collaborate across teams and time zones to get projects over the finish line. Who you are: Familiar with complex large scale distributed systems. You have experience with Java,

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 Exa team and lead the charge in redefining enterprise storage by unifying block, file, and object protocols across hybrid-cloud environments. You will combine deep technical expertise in distributed systems with hands-on people leadership to guide architectural decisions and mentor high-impact engineers. This is a unique opportunity to build new engineering teams from the ground up and drive industry-leading innovation alongside Product and Architecture partners. Your work will directly impact how customers consume, scale, and operate mission-critical storage infrastructure. WHAT YOU'LL DO Drive End-to-End System Architecture: Lead the architectural evolution and end-to-end delivery of high-performance, resilient storage systems from initial design concepts to high-quality shipped products. Optimize for Modern Data Workloads: Design and implement robust algorithms and concurrent platform solutions engineered for modern data pipelines, AI infrastructure, distributed computing, and enterprise analytics. Resolve Complex System Engineering Challenges: Apply deep root-cause analysis and system-level insight to solve multi-threaded, high-concurrency performance and reliability issues across Linux platform internals. Cross-Functional Ownership & Leadership: Collaborate across product management, validation, and support teams to align technical roadmaps, establish architectural standards, and drive enterprise

Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. Forward is currently seeking a Senior Backend Software Engineer to work as part of our Platforms team. You will play a critical role in designing, developing, and scaling the core backend services and infrastructure that support our SaaS and on-prem deployments. Your contributions will have a direct impact on the stability, performance, and scalability of our platform, helping to ensure an exceptional experience for our customers. Responsibilities: Platform development: Contribute to the design and development of storage systems, job scheduling systems, data ingestion frameworks, monitoring frameworks etc to ensure high system performance and availability. Feature development: Build and maintain backend frameworks that support essential platform features Scalability & Reliability: Develop scalable, high-performing

CAPCO POLAND We offer a flexible collaboration model based on a B2B contract. At Capco Poland, we're not just another consultancy – we're the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we help clients tackle complex challenges across banking, payments, capital markets, wealth, and asset management. Engagement Overview As a GenAI Developer, you will provide services related to the design, development, and deployment of scalable AI-powered applications using Large Language Models. Collaborating with cross-functional Agile teams, you will deliver production-ready solutions integrated into enterprise environments, helping clients unlock value from Generative AI. This engagement is well suited to professionals passionate about GenAI who enjoy combining strong backend and cloud expertise with modern AI capabilities. What You’ll Do Design, build, and deploy AI applications leveraging LLMs Develop scalable solutions using GCP services (Vertex AI, BigQuery, Cloud Run / Functions) Integrate LLM APIs (e.g. OpenAI, Vertex AI) into enterprise systems Design and implement RAG architectures Apply prompt engineering techniques to optimize model performance Build and maintain REST APIs and microservices Collaborate with cross-functional teams including data, backend, and business stakeholders Deliver high-quality solutions in agile, client-facing environments What We’re Looking For 3–6 years of experience in software development Strong hands-on experience with Python Experience with Google Cloud Platform (Vertex AI, BigQuery, Cloud Run / Functions) Practical experience working with LLM APIs (OpenAI, Vertex AI, etc.) Understanding of prompt engineering and RAG architectures Experience building REST APIs and microservices Strong communication skills and ability to work in a consulting environment Nice to Have Experience with LangChain or LlamaIndex Knowledge of embeddings and vector searc

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Team/ Role Paragraph: Coinbase is building the future of institutional trading as part of the Everything Exchange, powering the systems that let the world's largest financial institutions trade across markets with speed, depth, and trust. As a Market Data Engineer on the Markets team, you'll architect, build and own the systems that generate, capture, normalize, and distribute real-time market data across Coinbase at low latency - the ticker plant and distribution backbone of a unified trading platform - while leading a lean, high-impact team. It's a rare chance to architect market data infrastructure from the ground up, with the ownership of a startup and the reach of Coinbase. What you’ll do: Build and operate market data components: feed handlers, normalization, distribution, and venue connectivity. Design low-latency, high-throughput systems for real-time market data used by trading systems. Contribute to reliability and performance, participating in observability, on-call, and incident response. Write high-quality, well-tested code and help raise the quality bar on a lean team. Partner with engineers, product, and cross-functional stakeholders to deliver market data capabilities. Required skills and experience: 5+ years of backend engineering, with experience building and maintaining production low-latency systems. Hands-on experience with market data syst