Software Engineer Distributed Systems 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. We are looking for an experienced Principal Software Engineer to work on our next-generation Imports Platform team. Imports Platform team is leading a strategic initiative to modernize Okta's identity lifecycle management capabilities by architecting and migrating from a legacy monolithic system to a highly scalable, distributed microservices platform. This critical service orchestrates the importing, syncing, and provisioning of identities and access policies—users, groups, roles, entitlements—from external directory services including Active Directory, Office 365, and LDAP-based systems. As a Principal Software Engineer on the Imports Platform team, you will be a cross-team technical leader who takes difficult, ambiguously defined problems and drives them from ideation through production impact without oversight. You will own projects from zero to landing—defining scope, planning execution, making architectural decisions, and articulating measurable impact across the group. You will generate novel solutions to complex distributed systems challenges, guide the team's technical direction, and get stakeholder buy-in on architectural strategy spanning multiple teams. Your sphere of influence extends beyond the Imports Platform team to adjacent teams within the group and cross-functional partners in Product, Design, and SRE. You will participate in group-level strategy, break down strategic initiatives into actionable technical milestones, and drive cross-team

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Unified Data Store (UDS) team is the architect of Airbnb’s global system-of-record. We design, build, and operate the mission-critical storage platform that powers every user profile, listing, reservation, and financial transaction on the platform. Supporting over 150 million users worldwide, our work is the bedrock of Airbnb’s reliability and efficiency. As a Staff Engineer in our Brazil Engineering Hub , you will join a high-impact group of technical leaders who value craft and operational excellence. You won't just be managing data; you will be building a modern distributed infrastructure service that enables hundreds of product teams to ship features with total confidence. The Difference You Will Make: We are looking for a hands-on technical leader who thrives on solving deep architectural challenges and leading through ambiguity. As a Staff Engineer, you will serve as the Technical North Star for the UDS Client Stack, ensuring our data access layer is seamless, high-performance, and future-proof. A Typical Day: Define Technical Strategy: Lead the multi-year roadmap and long-term architecture for the UDS client stack, balancing immediate execution with systemic platform evolution. Architect for Scale: Design and operate a high-performance data access layer that abstracts complexities like indexing, replication, and global consistency models. Drive Engineering Excellence: Lead deep-dive design reviews and establish best practices for building fault-tolerant distributed systems across the organization. Empower Developers: Act as a bridge between infrastructure and

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! About the role. We’re building the next generation of agentic AI infrastructure at Cohere. This team sits at the intersection of ML systems, distributed infrastructure, and developer experience, creating the platform that powers autonomous AI agents at scale. You’ll work on hard, forward-looking problems with few established patterns, including secure code execution, agent state management, model routing, identity and authentication, and resource management for long-running agent workflows. This role is a strong fit for someone who combines systems depth with ML intuition. You should be comfortable building reliable infrastructure, thinking through distributed systems tradeoffs, and understanding how emerging agentic capabilities shape platform design. What you’ll work on. Secure execution environments for agent-generated code Identity, authentication, and trust boundaries for agents Model routing and orchestration across different model types and environments Rate limiting, quotas, and resource management for agent workflows State management, memory, and filesystem abstractions for agents. In this role you will: Turn emerging M

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. Lyft is looking for an experienced Backend Engineer from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. About the Team: The Business Travel team enable organizations to provide customized ride benefits at scale - whether that's employees expensing business trips and earning rewards. As a backend engineer, you'll build systems that power complex benefit rules, location restrictions, and integrations with expense providers like Concur and Expensify. This is a high-growth area for Lyft with meaningful impact potential. Responsibilities: Write well-crafted, well-tested, readable, maintainable code Have the ability to explain the various trade offs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Implement tasks with good quality code leading to positive execution Participate in resolving ongoing incidents Unblock, support, effectively communicate, and obtain buy-in within your team to achieve results Experience: 5+ years of software engineering experience, with a track record of designing and shipping production systems at scale Strong system design instincts — you can reason through distributed systems trade-offs, identify failure modes, and choose the right architecture for the problem Practical experience with AI development to improve product experiences Hands-on experience with large-scale, fault-tolerant distributed systems in a cloud environment (AWS, GCP, or Azure) Proficiency in object-oriented programming; experience with the

Who We Are Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Are you bready* for a change? Toast is looking for a Senior Software engineer to join our enterprise quick service restaurant team. You will get to work across the entire Toast platform, including our POS, backend, and front end systems. As a member of the enterprise team, you will help ensure that the product is being built to meet the new and expanding needs of these customers. About this roll * (Responsibilities) Design, build, deploy, and maintain highly resilient and scalable features across Toast’s enterprise management products Lead complex projects that improve functionality and reliability for our customers Partner with a wide array of teams across Toast Ensure quality by building automated testing for changes Roll* features out to customers, including monitoring for success Collaborate with UX and PM on the definition and design of features Mentor and coach other engineers Do you have the right ingredients* ? (Requirements) 5+ years experience building backend services and APIs Extensive experience working with an Object Oriented Language like Java or Kotlin, with a deep understanding of testing, quality, and best practices Experience shipping production services and balancing getting things done with platform stability and reliability Experience building backend services and APIs and scaling distributed systems Experience building android applications with kotlin is a plus Experience building front end applications is a plus Focused on delivering positive impact for Toast customers Enjoys working in a team environment with a shared code-base Excellent cross-team communication skills on complex technical topics AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe le

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? Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs. You may be a good fit if you have: 5+ years of engineering experience running production infrastructure at a large scale Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters Experience with Kubernetes dev and production coding and support Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving Experienc

Overview Role: Quantitative Software Engineer Lead 5 days a week in NYC HQ Base salary: $225k-375k Equity: Competitive Initial Equity Package + refreshers 4+ Years of Experience About Pillar Pillar is building the next-generation commodity risk management stack for the $10T physical economy. We combine real-time marketdata with AI-powered exposure modeling and automated trade generation to arm operators with precise protection from volatility. From instant execution to continuous monitoring, alerts, and recommendations, Pillar turns complex market risk into a fully managed, always-on hedging engine. We were founded in 2023 by the youngest macro market-maker at Barclays and a trading systems engineer at Coinbase, and have raised over $20M in capital from Andreesen Horowitz (a16z), Crucible Capital, Neo, Crossbeam Venture Partners and more. What You’ll Do Architect the future of commodity trading infrastructure: Lead development of our trading system as we start scaling in new markets and onboarding new customers. Engineer at the edge of performance: Build and optimize low-latency distributed systems, ensuring our platform minimizes risk and gets optimal prices on fills. Build and mentor a world-class team: Shape our engineering culture, hire and mentor talented engineers, and collaborate directly with founders to solve some of the most challenging problems in financial technology. Own critical systems end-to-end: From market data ingestion to order execution and risk monitoring, you'll have autonomy over mission-critical infrastructure that keeps our clients' businesses running 24/7. What We are Looking For Deep understanding of data structures, algorithms, design patterns, and core systems fundamentals. Extensive experience architecting and building complex financial systems with a focus on building and scaling low latency event driven distributed systems Strong ownership and teamwork, ability to work collaboratively to unblock work, drive momentum, and make sure im

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. The Data Access team within Infra / Storage builds EaaS (Entities-as-a-Service), Roblox’s large-scale managed OLTP access and management platform powering tens of millions of QPS across thousands of services. EaaS abstracts the complexity of distributed databases and caching systems behind a consistent and productive developer experience, enabling teams across Roblox to safely build and operate stateful systems at massive scale without requiring deep database expertise. The team operates at the intersection of distributed systems engineering, reliability engineering, and platform architecture — solving hard infrastructure problems that directly impact Roblox-wide scale and stability. As a Senior Software Engineer you will work on some of Roblox’s hardest backend infrastructure challenges around scalability, reliability, workload governance, adaptive flow control, and distributed systems. You Will Build and evolve EaaS, Roblox’s managed OLTP access platform powering tens of millions of QPS across hundreds of services. Design infrastructure that abstracts distributed databases and caching systems behind a consistent, safe, and highly productive developer experience. Drive reliability and scal

P-1492 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. The Role : We are seeking a highly skilled and experienced Senior Software Engineer with a deep understanding of low-level systems to join our team. In this role, you will be instrumental in designing, developing, and optimizing application frameworks that form the building blocks for all software development at Databricks. This is not a full-stack role; your expertise will be focused on the intricate details of system internals, performance, and efficiency. What we look for : Design, implement, and maintain core system infrastructure and low-level software components. Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions. Work with JVM internals, memory management, concurrency, and distributed systems. Collaborate with other senior engineers and architects to define technical strategies and roadmaps. Mentor junior engineers and contribute to a culture of technical excellence. Participate in code reviews, design discussions, and architectural decision-making. Troubleshoot complex system issues and provide effective resolutions. Qualifications Bachelor's or Master's degree in Computer Science

P-926 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. The Role : We are seeking a highly skilled and experienced Senior Software Engineer with a deep understanding of low-level systems to join our team. In this role, you will be instrumental in designing, developing, and optimizing application frameworks that form the building blocks for all software development at Databricks. Your expertise will be focused on the intricate details of system internals, performance, and efficiency. What we look for : Design, implement, and maintain core system infrastructure and low-level software components. Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions. Work with JVM internals, memory management, concurrency, and distributed systems. Collaborate with other senior engineers and architects to define technical strategies and roadmaps. Mentor junior engineers and contribute to a culture of technical excellence. Participate in code reviews, design discussions, and architectural decision-making. Troubleshoot complex system issues and provide effective resolutions. Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. 7+ years of professional experience in software development. Deep understanding of Java Virtual Machine (JVM) internals, including garbage collection, JIT compilation,

Location Details: Canada, Remote At GoDaddy, the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) , and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team Contribute to the development of GoDaddy’s eCommerce and SSO infrastructure and Kubernetes systems on AWS. On a day-to-day basis you will be working on the team who designs, writes, tests and deploys the infrastructure and application management software for GoDaddy’s eCommerce applications. Expect to learn every day. What you'll get to do... Work as a polyglot engineer, writing and maintaining Infrastructure as code with frameworks/ ecosystems such as Java, Unix CLI, and NodeJS Build and operate infrastructure workflows and deployment pipelines using Kubernetes, Argo Workflows, Argo CD, and GitOps practices Design, build, and own services and APIs in Java, running on Kubernetes-based platforms across AWS and distributed systems Develop and support application and infrastructure delivery pipelines, enabling reliable releases of eComm, Auth and Infrastructure services Collaborate closely with other GoDaddy departments to help advance security and technical standards, maintain regulatory compliances while operating eComm & Auth platforms Your experience should include... 5+ years of strong backend software engineering experience in Java Hands-on experience with Kubernetes, including Helm, Kustomize, or equivalent tools to deploy and manage backend services Experience building and operating high-volume, mission-critical production systems on AWS with continuous deployment (CD) practices Strong experience with infrastructure as code, supporting backend applications and services Experience with observability a

Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the Team A rider taps "request ride" and within seconds, an autonomous vehicle is matched, dispatched, and on its way. The On-Road Experience team owns the systems that make that moment happen. The On-road Experience team builds the real-time distributed system behind Nuro's ride-hailing product. This is foundational infrastructure where correctness and performance have consequences on a real road. About the Role This is the perfect role if you love architecting performant, reliable distributed systems, processing real-time vehicle data, and building the foundational APIs that enable seamless product experiences. The position demands technical excellence, a deep understanding of system design, and a knack for solving tough problems. Come join us in defining the future! What you'll own Backend services for ride planning, vehicle matching, and real-time trip execution Partner API integrations (Uber and others) routing ride requests to Nuro vehicles Telemetry pipelines surfacing live vehicle state to riders and operations About You 4+ years of backend engineering experience with strong Go proficiency Experience designing and operating distributed systems where reliability isn't optional End-to-end product ownership — from requirements through launch and iteration Solid hands-on experience with GCP (CloudSQL, BigQuery, Redis, or equivalent) A track record of technical lead

About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal StaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Some of what you’ll work on: Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters. Build out a global management plane for managing our data center compute, networking, and storage. Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features. Responsibilities Identify, design, and develop foundational backend services that power Together’s cloud platform Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure Partner with product teams to understand functional requirements and deliver solutions that meet business needs Write clear, well-tested, and maintainable software and IaC for both new and existing systems Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance Participate in an on-call rotation to address critical incidents when necessary Requirements 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources Excel

P-1416 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey. As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization The responsibilities you will have: Drive requirements clarity and design decisions for ambiguous problems Produce technical design documents and project plans Develop new features Mentor more junior engineers Test and rollout to production, monitoring. What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Are comfortable working towards a multi-year vision with incremental deliverables Be customer-oriented and focused on having an impact 7+ years of experience working in a related system Optional: PhD in databases or distributed systems About Dat

P-1415 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey. As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization The responsibilities you will have: Drive requirements clarity and design decisions for ambiguous problems Produce technical design documents and project plans Develop new features Mentor more junior engineers Test and rollout to production, monitoring. What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Are comfortable working towards a multi-year vision with incremental deliverables Be customer-oriented and focused on having an impact 5+ years of experience working in a related system Optional: PhD in databases or distributed systems About Dat