Software Engineer Distributed Systems Jobs

Senior Configuration Management Engineer Company: The Boeing Company The Boeing Global Services (BGS) Government Training Engineering organization is seeking a Senior Configuration Management Engineer for the Product Lifecycle Management (PLM) team in Berkeley, MO . As part of our team, you will be focused on configuration management ensuring engineering changes are documented and managed throughout the development lifecycle. You will be a part of an organization that provides industry leadership in commercial and defense aviation training and capabilities, including custom software development, engineering and technical services, and a range of services to support training centers and pilot provisioning worldwide. Position Responsibilities: Support assignment of configuration items/computer software configuration items (CS/CSCI) identifiers Manage program technical baselines and interfaces Prepare and coordinate change documentation and Engineering Change Proposals (ECP) / Contract Change Proposals (CCPs) Perform configuration audits and verification activities for hardware, software, systems Prepare metrics and status reports Attend Engineering and Configuration meetings, working groups and boards. Work with Boeing program teams, Business Partner, Customer and Suppliers Educate and/or train others on program CM processes Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ years

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Android Platform team sets the technical direction for Android at Reddit. We design, build and support the Android app for millions of DAUs and the development ecosystem (libraries, frameworks, observability, and build/CI tooling) that every team uses to ship delightful Reddit experiences. As a Staff Android Engineer on the Android Platform team, you’ll set technical direction and lead cross-team initiatives for a large, multi‑team Android codebase, with a core focus on three pillars: Client Health (Crashes/ANRs/Performance), Developer Experiences, and App Architecture (modern and opinionated). You’ll turn ambiguous platform problems into a multi-quarter roadmap, align engineering partners, and stay hands-on from design and implementation through rollout and adoption. What you’ll do Lead technical decisions that will scale Reddit’s Android Platform to the next 100M+ DAUs, balancing long-term platform health with product delivery. Drive Developer Experience strategy to accelerate build and test cycles and improve release safety across teams. Architect Android Client Health and Observability foundations (events, traces, dashboards) to empower engineering teams to safeguard performance and reliability. Champion AI supercharged developer and agent workflows. Provide technical leadership and mentorship to senior engineers, elevating engineering standards across teams through architectural reviews, documentation, and technical guidance. What we expect from you 5+ years software development experience with 3+ years buildin

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We are a small, dynamic team focused on building cloud-managed access control systems. Access Control is our second major product line. Our Access Control solution allows users to manage their doors, schedules, and user credentials from virtually anywhere on their laptop or phone. We consider our team a startup within a startup, with a fair amount of ownership and autonomy. You’ll be working alongside a dynamic team of firmware, backend, and frontend engineers to develop this product line. What You'll Do Excited by new products and startups You think about delivering best-in-class products and experiences - not features You can take a less-than-fully-fleshed-out product idea and drive it to completion What You Bring 7+ years of industry software engineering experience Mastery of JavaScript: Scoping, closures, contexts, prototypes, c

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, Portugal This is a 6-month Fixed Term Contract. About the role Cloudflare is scaling one of the largest global networks on the Internet, and capacity planning is what keeps that growth ahead of demand. As an Infrastructure Network & Supply Planner on our Infrastructure Capacity Planning team you'll build the products, tools, and AI agents that turn growth and demand forecasts into scalable, execution-ready in

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical & Dental Benefits Provided Entitled to Yearly Bonus & Performance Bonus **Current Application & Web App are Java Programming** Job Requirements Bachelor's or Master's Degree in Computer Science, Software Engineering , or a related technical discipline At least 2 years of software development experience in JAVA Programming is preferable for this post Strong understanding of computer science fundamentals (operating systems, network principles, data structures, and algorithms) Programming Languages: High proficiency in Java (including JVM internals and performance tuning) or Node.js (including its event-driven architecture and asynchronous programming model). Proficiency in both is a significant plus. Frameworks & Middleware: Proficient with common open-source frameworks and tools such as Kafka, RocketMQ, Dubbo, Zookeeper, and Redis. Deep knowledge of MySQL , including schema design, SQL optimization, and database scaling strategies. System Experience: Proven, hands-on experience in building, deploying, and maintaining high-concurrency, high-performance, and high-availability systems. Job Responsibilities ( Senior Backend Engineer) Design & Development Take ownership of the design, development, refactoring, and performance optimization of core system components, delivering high-quality a

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are looking for experienced EDA/CAD engineer with hands-on AI, ML, or LLM experience who is excited to shape the next generation of AI-assisted workflows for custom memory development. In this role, you will apply your expertise in IC design, layout, verification, simulation, and design automation to identify and deliver high-value solutions that improve engineering productivity, quality, and cycle time. This position offers the opportunity to build on a strong CAD foundation while growing into a broader AI-focused role over time. Responsibilities Design, develop, and deploy software, automation, and AI-assisted solutions that improve IC design workflows across layout, verification, simulation, and tape-out activities Develop and enhance AI-assisted tools, agents, and automation that improve engineering productivity and design team efficiency Collaborate with worldwide design, layout, verification, and CAD teams to identify high-impact use cases for automation and AI enablement Build and maintain CAD tools, workflow integrations, and supporting technical content for design teams Support evaluation, qualification, deployment, and integration of EDA tools and AI-enhanced workflows Explore and apply generative AI and machine learning techniques to practical custom IC design and design enablement challenges Contribute to scalable software development practices, including code quality, testing, maintainability, and documentation Required Qualific

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. SUMMARY: At Micron, we focus on developing groundbreaking silicon-to-systems solutions. We handle technology development, advanced memory builds, product development, system development, and validation to create world-class memory solutions. In this position, you will collaborate with Micron’s global design, layout, and verification teams to develop high-quality physical layouts for cutting-edge DRAM products. You will gain hands-on experience in semiconductor layout building, physical verification, and industry-standard Electronic Compose Automation (EDA) tools. RESPONSABILITIES: Design and Verify All Levels of Analog and Digital Layout Use computer aided design software (i.e. Cadence, Calibre, etc.) Work with Design Engineers to floor plan and design layout Understand and follow verification protocols Apply custom and/or automated layout techniques to design pitch, array, and peripheral layout for digital and analog circuits. Collaborate with build engineering to understand layout methodology. Possess basic understanding of circuit design and electronics. Minimum Qualifications: Student pursuing a bachelor's degree (last 2 semesters preferred) in Electrical Engineering, Electronics Engineering, Mechatronics, Robotics, Nanotechnology, Computer Engineering, or a related field. Completed coursework or academic projects related to microelectronics, semiconductor devices, VLSI, or integrated circuit design.

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location MSB (Micron Singapore Bendemeer) Department Test Solutions Engineering Project Title AI-Enabled Test Process Optimization and Technology Qualification Project Description As an intern within the Test Solutions Engineering team, you will undertake a structured engineering project related to semiconductor backend test processes, equipment capabilities, software, or operating methodologies. You will gain exposure to manufacturing and equipment data analysis, process-performance evaluation, and the qualification of new technologies for High Volume Manufacturing. Objectives Develop an understanding of semiconductor backend test processes and equipment. Evaluate process and equipment data to identify performance gaps. Contribute to the qualification and transfer of new technologies or Best Known Methods. Identify opportunities to improve yield, quality, reliability, cycle time, and cost. Explore responsible applications of Artificial Intelligence in engineering workflows. Opportunities for Full Time Employment Successful completion of the internship may provide exposure to future caree

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. There is no MSSP and no tier-1 queue here. Detection & Response engineers own their detections end to end: you write them, you tune them, and your team is paged when they fire. The security team is spread across the globe with a follow-the-sun pager rotation so nobody is paged at 3am local. The adversaries are real. The business is growing fast and the threat surface is growing with it. Defining the necessary telemetry is part of the job. What You'll Do Detection engineering Build and tune detections across endpoint, identity, SaaS, and cloud , treating them as software: version-controlled, peer-reviewed, and shipped through the same CI/CD practices the rest of engineering uses. Track detection quality as measured quantities : coverage against MITRE ATT&CK, precision, time-to-detect. We don’t build-and-forget here. Response & automation Own EMEA-hours incident response: triage, contain, remediate, and write the retrospective that turns the incident into a systemic fix. Build automation that removes toil from investigations, and partner closely with the US-based team so context carries across time zones instead of getting lost at handoff. Telemetry &

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the Department The Infrastructure Engineering team builds and scales Cloudflare’s global network, ensuring high availability, security, and performance across hundreds of cities worldwide. Within Infrastructure Operations, the Hardware Integration group acts as the bridge between engineering designs and physical deployment, overseeing key third-party manufacturing partnerships, hardware quality, and supply chain logistics to keep our expanding foo

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and di

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and di

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and di

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. Lead Business Technology Engineer Location: McLean, VA | Work Model: On-site Are you a technical leader ready to architect, optimize, and scale the mission-critical platforms powering a global pioneer in enterprise transformation? Move beyond daily maintenance to bridge strategic engineering gaps, guide cross-functional teams, and future-proof the complex software layers that enable our global workforce. ABOUT THE TEAM The Appian Business Technology team is the strategic engine driving our internal corporate infrastructure forward. We design, optimize, and scale the enterprise systems that empower Appian employees globally, ensuring our internal operations mirror the high-performance capabilities of our market-leading technology and enable our corporate growth in the automation market. THE OPPORTUNITY This lead role is designed for an elite systems expert who thrives at the intersection of enterprise architecture, AI innovation, and stringent security compliance. At Appian, you will have the autonomy to direct the design and management of multiple complex Google Workspace (GWS) tenants. Including environments built to strict CMMC and FedRAMP requirements. You will pioneer the rollout of cutting-edge GWS AI tools and engineer seamless integrations across our tech stack, all while working face-to-face in a culture that champions collaboration and rapid technical innovation at our corporate headquarters. WHAT YOU'LL DO Multi-Tenant Architecture: Design, configure, and manage multiple complex Google Workspace tenants, ensuring continuous alignment with FedRAM

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. Senior Business Technology Engineer Location: McLean, VA | Work Model: On-site Are you a technical leader ready to architect, optimize, and scale the mission-critical platforms powering a global pioneer in enterprise transformation? Move beyond daily maintenance to bridge strategic engineering gaps, guide cross-functional teams, and future-proof the complex software layers that enable our global workforce. ABOUT THE TEAM The Appian Business Technology team is the strategic engine driving our internal corporate infrastructure forward. We design, optimize, and scale the enterprise systems that empower Appian employees globally, ensuring our internal operations mirror the high-performance capabilities of our market-leading technology and enable our corporate growth in the automation market. THE OPPORTUNITY This lead role is designed for an elite systems expert who thrives at the intersection of enterprise architecture and technical execution. At Appian, you will have the autonomy to direct end-to-end system assessments, implement robust configuration and coding solutions, and pioneer methodologies to simulate user interactions before updates reach production—all while working face-to-face in a culture that champions collaboration and rapid technical innovation at our corporate headquarters. WHAT YOU'LL DO Secure Environment & CMMC Management: Manage, govern, and maintain established secure IT enclaves compliant with Cybersecurity Maturity Model Certification (CMMC) and NIST 800-171 frameworks. Ensure ongoing compliance of endpoints, infrastructure, and a