Senior Infrastructure Software Engineer Jobs

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 The Product Security Data Platforms team is a newly established engineering team within Stripe Security. Our mission is to build the foundational infrastructure that provides our users with unprecedented visibility into the security posture of their Stripe integration. While Stripe is renowned for industry-leading payment protection, we are expanding our focus to provide a comprehensive security telemetry platform that helps businesses protect their entire digital ecosystem on Stripe. As a founding member of this team, you'll architect a large-scale customer-facing security data pipeline and presentation layer. Much like modern security observability platforms and data lakes that have transformed cloud infrastructure, we're building an API-first service that transforms massive streams of behavioral data into actionable security intelligence. This team operates at the intersection of high-throughput data engineering and cybersecurity, creating the systems that will allow the world’s most sophisticated companies to monitor, detect, and respond to threats in real time. What you’ll do As a Senior Software Engineer on this founding team, you'll lead the technical design and implementation of our core security data pipelines. You'll define how we capture security signals, process them at scale, and deliver them to our users through robust, developer-friendly interfaces. If you have security domain knowledge, you'll have opportunities to help shape

About the Job: Software powers the world, and LaunchDarkly empowers teams to deliver and control it safely. As a Senior Backend Engineer on the Billing team, you will own the systems that turn every plan, price, entitlement, and usage limit into revenue — checkout, subscription and entitlement APIs, usage metering, and the integrations to our billing, CRM, and finance systems. When billing is wrong, customers get the wrong product and we invoice the wrong amount. Correctness here is a commitment to our customers, not a nice-to-have. You and your team will drive the modernization of our billing platform. Technologies include Go, TypeScript, Postgres, AWS, and Terraform. Exact tool match matters far less than deep backend judgment and a track record of safely changing systems that are not allowed to be wrong. Responsibilities: Design and build the systems that define our plans, pricing, entitlements, and limits, and expose them through our API. Decompose billing from our monolith into services that are correct, testable, and independently deployable. Own correctness end to end — usage metering, reconciliation, and the invoices and usage data customers see. Operate what you build: SLOs, alerting, on-call, and fixing root causes rather than repeating mitigations. Qualifications: 6+ years of professional software-engineering experience, with significant work on complex backend applications. Experience decomposing a monolith A track record on systems where correctness is non-negotiable, and the habits that come with it: idempotency, reconciliation, reversible migrations, and safe cutovers. Proficiency in at least one backend language (Go, Rust, Python, etc.) and familiarity with cloud infrastructure (AWS or equivalent), plus strong production ownership including on-call. Bonus Billing, payments, or metering systems, or usage-based pricing. Modeling entitlements, quotas, or multi-tenant limits. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Fran

About the Job: Software powers the world, and LaunchDarkly empowers teams to deliver and control it safely. As a Senior Backend Engineer on the Identity & Access Management team, you will own the systems every customer touches before they touch anything else: SAML and OAuth2 single sign-on, SCIM user and team provisioning, login and session management, multi-factor authentication, and the API key and token infrastructure that authenticates every request to our platform. When authentication is wrong, customers cannot get in at all — or the wrong person gets in. Security and availability here are commitments to our customers, not nice-to-haves. You and your team will make this stack operable and enterprise-ready. Technologies include Go, TypeScript, CockroachDB, Redis, AWS, and Terraform. Exact tool match matters far less than deep backend judgment and a track record of safely changing systems that are not allowed to be wrong. Responsibilities: Own LaunchDarkly’s authentication surface end to end — single sign-on, SCIM provisioning, login and session flows, multi-factor authentication, and API key and token authentication. Build the enterprise identity capabilities our largest customers require: additional identity-provider integrations, support for multiple IdPs per account, and MFA enforcement by default. Make the stack operable: SLOs, monitoring for certificate expiry and provisioning failures, actionable alerting, runbooks, and a sustainable on-call. Partner with Product Security on threat modeling, audit logging, and compliance requirements including SOC 2 and FedRAMP. Set the technical direction for identity at LaunchDarkly, and raise the bar for the engineers around you through design review and mentorship. Qualifications: 6+ years of professional software-engineering experience, with significant work on complex backend applications. Experience building or operating production authentication and identity systems. A track record on systems where correctness

We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and RDMA network cards. Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works. We thrive as a team in a deeply strong environment, and we're passionate about innovation. The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play. What you'll be doing: Developing a highly optimized inference framework Running on the world’s largest supercomputers and data centers. The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features. What we need to see: B.Sc. or equivalent experience in Computer Science or Software Engineering 6+ years of experience in modern C++ / C / Rust development 3 years of experience in Linux environment and familiarity with development tools Deep knowledge of the TCP/IP network stack Understanding of computer architecture and operating systems concepts Ways to stand out from the crowd: Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning) Experience in programming CUDA kernels is an advantage Familiarity with ML frameworks and LLMs Background in parallel programming / high-performance computing / RDMA t

The worldwide data management software market is massive (IDC forecasts it to be $138 billion by 2026). At MongoDB, we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the center of innovation and creativity. MongoDB is seeking a Sr. Staff Software Engineer to join the Atlas Core Data Services organization. The organization is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product, along with the API Platform and Developer Tools. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. The Atlas Core Data Services organization builds the software that manages the Atlas cluster infrastructure hosted on the three major cloud providers (AWS, Azure, and GCP), as well as the software that manages the MongoDB database hosted on that infrastructure. We are constantly challenged to design features that ensure Atlas clusters are secure, available, durable, and performant while running large-scale, critical workloads. The Sr. Staff Engineer in this role will drive innovation across the organization and the company, setting technical standards and direction that enable future growth and velocity. We are looking for engineers with the experience and high standards needed to lead at that scale. Our organization champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies systems expertise to build the foundational infrastructure of a popular database, join us. Let's build a faster, more reliable, and highly scalable database platform together. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Responsibilities Define standards and vision for the mission-critical Atlas SaaS data

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. The Software Engineer II Opportunity We are looking for a software engineer to build the interfaces people use to work with autonomous AI workers. This is not a dashboard job. Our users chat with agents that run for hours, steer them mid-task, inspect what an agent remembers, approve or reject its actions, and watch it work in real time. You will own those surfaces: the chat experience, the memory and context views, the live run timeline, and the approval flows that keep a human in charge. You will define what agentic interfaces look like—because most of the patterns you will ship do not exist yet. This is a senior individual contributor role requiring a minimum of 5 years of relevant experience. About You Proven Product Builder: You have built and shipped products that users love and have seen the direct impact of your work at scale. End-to-End Ownership : You take pride in owning projects from initial concept to launch and are comfortable wearing multiple hats to get the job done. AI & Tech Innovator: You stay ahead of the curve, eager to explore and implement the latest technologies, particularly in AI and LLM front-end paradigms. Collaborative Partner : You thrive in a high-bandwidth team environment and work effortlessly with both technical and non-technical partners. Driven & Ambitious : You have a hunger for success and want to build at a fast-growing company with big goals. What you’ll be doing Build the conversational interface

MongoDB seeks an experienced Senior Software Engineer to help level up IT and play a key role in building a new engineering team. This team works alongside the Internal Engineering department to build enterprise-grade software that enables coworkers to be more effective and efficient. As a Senior Software Engineer, you’ll take ownership of critical internal tools and platforms, drive technical decisions, and contribute at a high level to systems that support essential workflows across the organization. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations: Own the implementation and long-term maintenance of internal tools and platforms Lead technical design discussions and contribute to architectural decisions Write high-quality, maintainable code while setting a strong engineering example for the team Identify and proactively address technical debt, reliability risks, and scalability concerns Collaborate with engineers, product partners, and other stakeholders to prioritize and deliver high-impact work Success Measures: In three months, demonstrate strong ownership of one or more internal systems and contribute significantly to ongoing initiatives In three months, independently deliver meaningful improvements that reduce manual effort or operational friction In six months, have driven technical improvements or new tooling that measurably improves internal engineering efficiency, reliability, or velocity Our ideal candidate: Has 6+ years of professional software engineering experience Deep experience with at least one modern programming language (Python, Go, Rust, etc.) Strong technical judgment and the ability to independently solve complex engineering problems Excellent communication skills and comfort collaborating across teams and disciplines Comfortable working with modern infrastructure and delivery systems, including containerized applications, Kubernetes, and CI/CD tooling (e.g., Drone.io or simil

MongoDB’s Developer Productivity organization exists to help engineers build and deliver high-quality software through a highly effective software development process and a strong foundation of shared tools and services. We are looking for a Senior Director to lead our Pipeline team. This role is tasked with bringing together the major systems and experiences that power software delivery at MongoDB. The team’s mission is to provide a reliable, scalable, secure, and effective platform for ensuring fast software deployability, leveraging AI native approaches. We are open to in-office, flexible or remote hiring across Canada. The Team The Pipeline organization sits within Developer Productivity and is responsible for the systems, services, and user experiences that define MongoDB’s software delivery ecosystem. This is mission-critical infrastructure operating at substantial scale and supports a variety of software product delivery needs. Success in this role requires excellent product judgment for developer-facing experiences, strong systems and platform leadership, and the ability to align multiple teams around a cohesive strategy. Candidate Profile We’re looking for a senior engineering leader who can unify product-minded developer tooling with deep platform and operational excellence. The right candidate is passionate about developer productivity and has a track record of leading managers and teams through organizational growth, technical complexity, and cross-functional change. They should be comfortable owning a broad portfolio that spans developer experience, reliability and scale, release systems, telemetry, and operational health. They should also be able to work effectively with senior leaders and partners across engineering and product to set direction, allocate resources, and make trade-offs that balance near-term delivery with long-term platform function. The right candidate for this role will 12+ years of hands-on software engineering experience bui

MongoDB’s Developer Productivity organization exists to help engineers build and deliver high-quality software through a highly effective software development process and a strong foundation of shared tools and services. We are looking for a Senior Director to lead our Pipeline team. This role is tasked with bringing together the major systems and experiences that power software delivery at MongoDB. The team’s mission is to provide a reliable, scalable, secure, and effective platform for ensuring fast software deployability, leveraging AI native approaches. We are open to in-office, flexible or remote hiring across the US. The Team The Pipeline organization sits within Developer Productivity and is responsible for the systems, services, and user experiences that define MongoDB’s software delivery ecosystem. This is mission-critical infrastructure operating at substantial scale and supports a variety of software product delivery needs. Success in this role requires excellent product judgment for developer-facing experiences, strong systems and platform leadership, and the ability to align multiple teams around a cohesive strategy. Candidate Profile We’re looking for a senior engineering leader who can unify product-minded developer tooling with deep platform and operational excellence. The right candidate is passionate about developer productivity and has a track record of leading managers and teams through organizational growth, technical complexity, and cross-functional change. They should be comfortable owning a broad portfolio that spans developer experience, reliability and scale, release systems, telemetry, and operational health. They should also be able to work effectively with senior leaders and partners across engineering and product to set direction, allocate resources, and make trade-offs that balance near-term delivery with long-term platform function. The right candidate for this role will 12+ years of hands-on software engineering experience bui

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are looking for an experienced System Level Test Engineer to join our Product Test and Diagnosis Department (PTD). In this role, you will contribute to the development and deployment of System Level Test (SLT) solutions for next-generation AI processors. Working closely with hardware, software, validation, and manufacturing teams, you will develop test content, automation, diagnostics, and characterization capabilities that support silicon bring-up, yield learning, and manufacturing deployment. The ideal candidate will have strong technical foundations in semiconductor test and validation, excellent debug skills, and a passion for improving product quality and manufacturability. The Team The Product Test and Diagnostics team’s role is to detect and manage hardware defects that arise from the manufacture and use of our products. This covers chips, boards and finished systems and takes place both in the manufacturing sites and in the field. Responsibilities and Duties Develop and maintain SLT test content, automation, d

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Debug Validation Engineer will drive post-silicon debug and validation activities for next-generation AI compute silicon and systems. The role is responsible for leading teams focused on identifying, reproducing, analysing and resolving complex silicon, firmware and system-level issues during bring-up, characterization and product readiness. This position combines deep technical debugging expertise with strong cross-functional collaboration across multiple engineering disciplines. The role will work closely with architecture, RTL, firmware, software and systems teams to improve debug methodologies, accelerate issue resolution and strengthen validation coverage. The role will work closely with architecture, RTL, firmware, software, systems and platform teams to improve debug methodologies, accelerate issue resolution and strengthen validation coverage. The Team The Post-Silicon Debug and Validation team sits within the Architecture and Validation organisation and is responsible for bring-up, debug and validation of Graphcore silicon and systems.

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Senior Principal Network Engineer to help design, deploy, and optimize next‑generation AI data center networks. AI training and inference workloads require extremely high bandwidth, deterministic low latency, and zero‑packet‑loss networking environments. In this role, you will partner closely with the Network Architecture Lead to design and scale high‑performance computing (HPC) network fabrics supporting GPU clusters. You will work across hardware, networking, and AI application layers to ensure Graphcore’s large‑scale AI infrastructure operates at peak performance. The ideal candidate brings deep experience operating hyperscale or HPC data center networks and has expertise in high‑speed Ethernet fabrics, RDMA technologies, advanced automation, and telemetry systems. The Team The Data Center Network Engineering team designs and operates the high‑performance network fabrics that power Graphcore’s AI compute platforms. The team collaborates closely with hardware engineering, AI researchers, and infrastructure teams to build scalable networking environments optimized for distributed training and infe

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role We're looking for a Staff level Engineer to lead the design and development of a next-generation Data Platform at Vercel. This is a unique opportunity to architect a foundational system that will power data across our products and business, supporting everything from real-time analytics to AI/ML initiatives. Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for our data ecosystem, work across the organization to align engineering strategy with product goals, and build scalable, reliable systems using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake. You'll lead from the front, writing production-grade code, setting high standards for design and data governance, and mentoring a team of engineers as the organization grows. If you're excited by the challenge of building scalable data systems that drive product innovation, we'd love to hear from you. What You Will Do Design and implement a next-generation data platform that supports diverse requirements, including batch and real-time integrations, advanced analytics, and multiple data types, leveraging Kafka, Kafka-based tooling, and additional streaming technologies to power real-time data movement and processing. Work with engineering, product, and senior leadership teams across Vercel to architect solutions that address business needs, aligning technical strategies with product goals and ensuring seamless data availability and usability. Define and maintain guidelines for data ingestion, creation, enrichment, and stor

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.