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Performance And Systems Engineer Jobs

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Explore current performance and systems engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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11 days ago

Linux System Administrator Alexandria, VA Secret clearance or higher The Test and Training Enabling Architecture (TENA) program at Leidos is looking to add a Linux System Administrator . Our mission is to develop tools for the United States Department of Defense test and training communities, to increase the speed of the development cycle, to get capabilities to the warfighter more rapidly. The Linux System Administrator will work within a team engineers, developers and system administrators, adding new capabilities to our enclaves, as well as ensuring the existing systems are secure and performing as intended. This position is required to work on-site in our Alexandria, VA office. Primary Responsibilities: Provide support for installing and maintaining Linux servers. Provide technical leadership for migrating on premise infrastructure to hybrid cloud solution. Provide support for troubleshooting from OS to application-level issues. Manage networking equipment including switches, routers and firewalls. Manage configuration and maintenance of core enclave infrastructure services including DCHP, DNS, e-mail, Apache Web Servers, Tomcat application servers, Atlassian applications, MariaDB database servers. Configure and monitor security tools required for DoD networks. Participate and contribute to design discussions related to improving the capabilities, performance and security posture of new and existing services. Basic Qualifications: US Citizen with at least an active Secret clearance. Bachelor’s degree with 4+ years of experience or a Master’s degree with 2+ years of experience. Additional experience may be considered in lieu of a degree. 4+ years of experience providing System Administration to DoD IT systems. DoD 8570 IAT level I

WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. WHO YOU ARE: You are a Techno-functional Product Manager with 5+ years of Product Management experience who thrives at the intersection of technology and business. You will be responsible for driving product initiatives, managing integrations, and collaborating closely with cross-functional teams to deliver scalable and impactful solutions. WHAT YOU’LL DO: Contribute into the execution of all product lifecycle processes for products, including product research, market research, competitive analysis, planning, positioning, roadmap development, requirements development, and product launch Analyse consumer needs, current market trends, and potential partnerships from an ROI and build vs. buy perspective Gain a deep understanding of existing systems, customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth Works with a cross-functional team to ensure fulfilment of product requirements, evaluates product performance and transition products from development to commercialization. Assists in determining product delivery and deployment dates for new product releases, feature and maintenance releases and regular corrective service or service pack releases. Assist in Developing and executing proposed business and technical solutions. Work with engineering teams to design and manage API integrations across platforms. Assist

WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. WHO YOU ARE: You are a Techno-functional Product Manager with 5+ years of Product Management experience who thrives at the intersection of technology and business. You will be responsible for driving product initiatives, managing integrations, and collaborating closely with cross-functional teams to deliver scalable and impactful solutions. WHAT YOU’LL DO: Contribute into the execution of all product lifecycle processes for products, including product research, market research, competitive analysis, planning, positioning, roadmap development, requirements development, and product launch Analyse consumer needs, current market trends, and potential partnerships from an ROI and build vs. buy perspective Gain a deep understanding of existing systems, customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth Works with a cross-functional team to ensure fulfilment of product requirements, evaluates product performance and transition products from development to commercialization. Assists in determining product delivery and deployment dates for new product releases, feature and maintenance releases and regular corrective service or service pack releases. Assist in Developing and executing proposed business and technical solutions. Work with engineering teams to design and manage API integrations across platforms. Assist

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Affirm
📍 Poland• Full-time• Remote
17 days ago

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. About the People Team: The People team helps Affirmers cultivate a high-performing, inclusive organization. We focus on three core areas: attracting talent aligned to our mission, enabling growth through people and team development, and retaining employees through thoughtful experiences and rewards. We develop Affirm’s people programs and systems to create a workplace where all employees can thrive and contribute meaningfully. By investing in our people, we create a long-term advantage for the business. About the Role: As Senior Manager, Technical Recruiting, you’ll lead recruiting across EMEA, guiding a high-performing team that helps Affirm attract exceptional Engineering talent and scale internationally. Your work will strengthen our global hiring strategy and enable the teams advancing Affirm’s mission. What You’ll Do: Lead, coach, and develop a team of recruiters by setting clear expectations, providing thoughtful feedback, and fostering a high-performing, inclusive team culture Own the recruiting strategy for EMEA, aligning regional hiring plans with business priorities and building the capabilities needed to support Affirm's continued international growth Partner with Technical and cross-functional leaders to translate hiring plans into scalable hiring strategies across teams and geographies Influence Director and VP-level stakeholders through recruiting data, market insights, and strategic guidance to inform hiring decisions, build alignment, and proactively mitigate talent risks Use recruiting analytics to identify trends, improve funnel performance, forecast hiring risks, and drive continuous improvement across the hiring process Collaborate closely with Talent Brand, Talent Operations, Compensation, and other People teams to deliver a seamless, consistent hiring experience

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Blocktech
📍 Amsterdam• Full-time
1mo ago

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto is one of the few markets where the gap between a good model and live PnL comes down to how fast and how reliably you can ship it. Abundant data, novel microstructure, and a short path to production mean the quality of our infrastructure directly moves the edge. We're looking for a Quantitative Developer to build that infrastructure and get our models into production. The role This is a hands-on engineering seat on our trading floor. You'll own the infrastructure that turns research models into production trading systems, working primarily in Python and Rust, the language our models and systems are written in. You'll build the frameworks and tooling that let quants ship their code to production and keep those systems running once they're live. You'll work shoulder-to-shoulder with researchers, traders, and fellow engineers, building the tooling, pipelines, and standards that let good ideas reach production quickly and safely, and helping raise the engineering bar across the floor. You will Build and own the infrastructure that takes models from research to production - data pipelines, backtesting, deployment, and monitoring. Turn research prototypes into robust, performant, production-grade code that runs reliably in live trading Work closely with quantitative researchers and traders to get new models live quickly and safely Own the systems you ship in production: monitor performance, diagnose issues, and keep latency and reliability high Improve the tools, standards, and pipelines the team relies on, raising the engineering bar across the floor What we're looking for 2+ years of software engineering experience, with a track record of shipping production-grade systems A strong academic foundation in a STEM discipline (computer science, mathematics, p

pythonci/cdrest
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OpenAI
📍 Singapore• Full-time
1mo ago

About the Team The Consumer Products team at OpenAI brings groundbreaking AI technology to life through world-class hardware. Our Operations group ensures that every product moves seamlessly from concept to customer — integrating supply chain strategy, manufacturing operations, and quality systems to enable rapid, reliable, and scalable production. We partner closely with engineering, design, and manufacturing teams around the world to deliver exceptional products at launch and beyond. About the Role As an Operations Manager, you will own the execution and strategy that transforms early product concepts into high-quality, manufacturable consumer devices. You’ll lead cross-functional planning, manage vendor relationships, and ensure supply, cost, and schedule alignment across fast-moving hardware programs. This role is based in Singapore. We follow a hybrid model (four days per week in the office) and offer relocation support for new employees. Occasional travel to supplier and manufacturing sites is expected. In this role, you will: Develop and execute operations strategies that bridge product design and large-scale manufacturing. Drive build readiness and production planning from prototype through mass production. Partner with global suppliers to ensure materials, tooling, and capacity meet program goals. Collaborate with hardware, quality, and supply chain teams to establish and maintain robust operational systems. Track cost, yield, and schedule performance to ensure efficient and predictable product delivery. Build scalable processes that support rapid iteration and future product launches. You might thrive in this role if you: Have 6+ years of experience in hardware operations, manufacturing, or supply chain for consumer electronics or similar industries. Have successfully taken at least one product from concept through mass production. Are fluent in NPI processes, contract manufacturing dynamics, and global operations management. Bring strong analytical and co

awsrestai
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C
1mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Advance the state of the art for model post training, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organisational needs. We have all the compute, data, and talent available for you to do your best work. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! As a Member of Technical Staff, you will: Design and write high-performant and scalable software for training models. Consistently post-train the models to reach SOTA level performance. Coordinate with other specialist teams (Agentic, Code…) to produce models that have strong all encompassing performance. Craft and implement techniques to improve the performance and results of our training cycles both on the SFT and the RL regime. Research, implement, and experiment with ideas on our superco

pythonkubernetesgit
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ABOUT THE BRAND: Callaway Golf Company is a premium golf equipment, gear and apparel company with a portfolio of global brands, including Callaway Golf, Odyssey, TravisMathew, and OGIO. Through an unwavering commitment to innovation and premium craftsmanship, Callaway designs, manufactures, and sells high-performance golf clubs, golf balls, apparel, bags, and other accessories—setting the standard for performance in the game of golf. Our Mission: To create demonstrably superior and pleasingly different products powered by innovative technology and premium craftsmanship enabling golfers of all abilities to play their best and find more joy in the game. Our company is a blend of experience and diverse backgrounds, and together we look to leave the past behind while moving the game forward. For more information, please visit https://www.callawaygolf.com Executes standardized golf ball testing procedures with accuracy and efficiency, ensuring reliable and consistent data collection. Maintains testing equipment, documents results, and partners with engineers and senior technicians to support product development and performance validation. Technical Execution Perform established golf ball test methods independently and accurately. Maintain working knowledge of all standard test procedures. Utilize required software tools (Excel, Minitab, and other testing systems) for data entry and basic analysis. Perform preventative maintenance and calibration on most assigned equipment. Identify equipment or test abnormalities and escalate when necessary. Quality & Productivity Produce accurate, wel

We're looking for a Product Analyst to support our Point of Sale (POS) product team. You'll work closely with the POS Product Owner to translate business and venue needs into clear requirements, support day-to-day POS issues, and help drive continuous improvement of the POS platform across all venues. This role is a strong fit for someone who has spent real time in the trenches with POS systems, whether building them, configuring them, or supporting the people who use them every day, and who wants to move deeper into product-facing work. What You'll Do Partner with the POS Product Owner to gather, document, and prioritize requirements for POS enhancements, integrations, and fixes Analyze POS support tickets and incident trends to identify recurring issues, root causes, and opportunities for product improvement Translate business and venue operations needs into clear user stories, acceptance criteria, and functional specifications Support testing and validation of new POS features and releases, including UAT coordination with venue stakeholders Serve as an escalation point for complex POS issues, working with engineering, support, and vendor teams to drive resolution Monitor POS system performance and data quality, flagging anomalies that could affect transactions, inventory, or reporting Maintain and update product documentation, release notes, and training materials for interna

sqlhuman resources
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About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. What You’ll Own As our Social Media & Community Manager, you’ll sit at the intersection of content, brand, community, and experimentation. You’ll help shape how the world sees Ema and create an influential community of enterprise leaders rethinking how work gets done with AI. Social Media & Content Creation Scale Ema’s LinkedIn from 130K → 200K+ with bold, creative storytelling + optimal RoAS (return on ad spend) and a strong lens on ICP Maintain a consistent 4 week rolling calendar across social media, blogs, newsletter, channels Write or edit 1 blog/week, collaborating with engineers, design, and leadership to ship at scale, faster Work with design to repurpose existing content—whitepapers, blogs, interviews, videos—into carousels, short videos, blogs, newsletters so to achieve consistency + repetition as a brand Continuously experiment and improve existing channels, and also identify the right new distribution channels and format to scale Ema’s social presence (YouTube, Twitter, Instagram) and more Track performance and run smart, creative experiments Accelerate Brand & Category Creation Drive consistent messaging across website, socials, blogs, newslet

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GoLogica
📍 India• Full-time• Hybrid• ₹36K – ₹38K/yr
10 days ago

PeopleSoft Admin Training at GoLogica helps learners to gain practical skills in administering people soft enterprises efficiently. PeopleSoft Training will cover PeopleSoft Architecture, Installation, Configuration, Security, Domains, Process Scheduling, and Monitoring of the PeopleSoft applications and systems. The participants will be able to get knowledge about basic things in order to perform day-to-day tasks in people soft environment and ensure the efficiency of PeopleSoft applications. The PeopleSoft Training will cover Application server, Web Server, Process Scheduler, PIA Setup, User Management, Patching, Upgrades, Backup & Recovery and Troubleshooting. With the help of PeopleSoft administration practice, the participants will be able to configure environment, monitor the Services, troubleshoot common issues. The PeopleSoft Online Training will include Instructor-led Training, Practical Lab Exercises, Scenarios and Flexible Training Options. Participants will also be able to work on Migration, Performance Tuning, basics of Integration Broker, Change Management, Environment Maintenance. This PeopleSoft Training is perfect for Beginners, Support Engineers, System Administrators and Professionals who want to improve their skills in enterprise applications. PeopleSoft course from GoLogica will include Job Oriented knowledge, Expert Guidance, Hands on Assignments, Interview Preparation. PeopleSoft Certification will help learners to build up confidence.

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Plaid
📍 New York• Full-time• Remote
23 days ago

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Data team within Plaid’s Fraud organization. We build the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s network data to help identify and prevent fraud before it happens. Our team owns the end-to-end ML lifecycle, from feature pipelines and model training to production serving and monitoring, ensuring our systems are reliable, scalable, and built to support hundreds of customers and data partners. As a Data Scientist on the Fraud Data team, you will analyze customer and network traffic to understand how Plaid Protect performs across a range of use cases and customer segments. You’ll build dashboards and metrics that provide a clear, shared view of product performance, run backtests to evaluate performance and identify high-impact rules and model strategies, and generate insights that support customer growth and expansion. You’ll also design scalable data models and schemas to enable reliable analysis and reporting, while partnering closely with Product and Engineering to design and analyze experiments for new customer-facing features. Responsibilities: Work at the intersection of product analytics, machine learning, and fraud a

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Plaid
📍 San Francisco• Full-time• Remote
1mo ago

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Senior Data Scientist - Network Value (Credit) The Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences. We are a product analytics team embedded in key product areas across Plaid. We support some of Plaid’s most important OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision-making approach everywhere we go. You’ll be a Data Scientist supporting Credit, a critical product area within Plaid’s Network Value portfolio. You’ll become a data and analytical thought partner to product managers, engineers, and cross-functional stakeholders, helping shape Credit product strategy, improve product performance and user experience, and grow Plaid’s consumer network. You’ll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and KPIs tied to business goals and user experiences, a

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Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity As a Member of Technical Staff on AI Infrastructure, you will build and maintain the foundational systems and distributed infrastructure that power AI model post training, inference, and data pipelines. You will collaborate with engineering and research teams to ensure performance, scalability, and reliability of critical AI systems. What You’ll Do Design and implement large-scale, distributed AI infrastructure and services Optimize performance for GPU/xPU accelerators and cloud environments Build tools for observability, reliability, and scaling of AI workloads Partner with cross-functional teams to define AI infrastructure requirements and roadmap Contribute to architectural design and system longevity About You Have experience with GenAI infrastructure systems, distributed systems, cloud computing, and high-performance infrastructure Are proficient in programming languages like Python, Go, or similar Understand scaling challenges specific to AI workloads and accelerators Thrive in fast-paced, collaborative engineering environments The reasonably estimated base salary for this role ranges from $256,000.00 to $276,

pythonaigo
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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. NVIDIA has a rapidly expanding ecosystem of data center platform designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each brings together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are searching for a highly motivated engineer to lead performance benchmarking and optimization efforts for our data center products. You will be instrumental in ensuring our data center solutions deliver industry-leading performance for accelerated computing workloads. What you will be doing: Design and execute comprehensive performance benchmarking strategies for our data center platforms and products Characterize real-world AI training, inference, and HPC workloads at scale Define, track, and report key performance indicators (throughput, latency, efficiency, scaling) Build automation tools and frameworks for performance monitoring and analysis Identify and analyze performance bottlenecks across compute, memory, network and storage subsystems Work closely with architecture, hardware,

pythondockerkubernetes
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