Senior Infrastructure Platform Engineer Jobs

About the Role Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Citi's Integrated Digital Assets Platform (CIDAP) is at the vanguard of institutional blockchain adoption — and security is its foundation. As digital assets move from innovation to regulated infrastructure, the cryptographic integrity of every transaction, wallet, and key lifecycle operation becomes mission-critical. We are building the security layer that the world's most sophisticated financial institution can trust. We are seeking a Senior Security Engineer (VP) to join our New York-based Digital Assets Platform engineering team. This is a hands-on, Java-focused backend engineering role for a security-minded engineer who understands both the craft of secure software development and the cryptographic primitives that underpin digital asset custody, signing, and key management. You will sit inside the core engineering team — writing production code every day — while being the resident authority on cryptographic design patterns, HSM integration, MPC protocols, and security architecture. Your work will directly protect billions of dollars of digital asset infrastructure used by institutional clients worldwide. Key Responsibilities Design, develop, and maintain security-critical backend services in Java — including cryptographic libraries, key management APIs, signing wor

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Role You’ll Play As a Senior Platform Engineer on Playlist, you’ll design and deliver Infrastructure-as-Code solutions that empower developer teams. You’ll drive cloud architecture, iterate with squads on their workloads, and build self-service tools to speed delivery and improve quality. Your work will help design, implement, and operate the cloud infrastructure that powers the Mindbody ecosystem and supports millions of users. Partner with Product and Engineering to design, build, and operate the cloud platform that enables squads to deliver reliably and autonomously. Own and evolve our production Kubernetes platform and core cloud primitives, driving safe, automated, and observable infrastructure-as-code. Deliver self-service tooling and IaC patterns so teams can provision and run workloads without platform intervention. Lead cross-team projects from problem definition through architecture, implementation, and launch while reducing operational toil and improving reliability and security. Be the go-to engineer for production incident response, runbook automation, and platform change management across segmented and compliance-bound environments. Experience You Bring

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role A strong and reliable platform is essential to scaling Sentry for the future. Our Platform organization is responsible for everything that powers Sentry—from cloud infrastructure and streaming systems to storage, deployment, and security. We own the core services and technical foundations that enable every product and engineering team at Sentry to move fast and build with confidence. We're looking for a passionate and pragmatic Senior Staff Software Engineer to help lead this evolution. In this role, you’ll report directly to the VP of Engineering and collaborate with teams across the company to shape the future of Sentry’s platform. What You’ll Do Architect the future of Sentry by translating business needs and product strategy into clear, scalable technical blueprints. Partner with product and engineering leaders to align technical roadmaps with company goals. Lead cross-cutting initiatives across the Platform org—owning them end-to-end and driving meaningful outcomes. Promote engineering excellence by mentoring platform engineers, sharing best practices, and setting high standards for system design, scalability, and operational quality. Review major architectural proposals and help ensure consistency, maintainability, and long-term technical health across the company. You’ll Love This Job If You... Enjoy designing and building platforms that help teams move faster and scale safely. Thrive on solving complex, multi-dimensional problems across product, infrastructure, and organizational layers. Want to make architectural decisions that shape Sentry’s long-term success. Bring new ideas, tools, and frameworks t

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 Senior Backend Engineer on the Cloud Platform team, you will play a key role in building the core systems and services that power Postman’s internal platform. You’ll help create new backend services that manage how we deploy, scale, and operate our infrastructure and product services, leveraging Java, Spring Boot, and Hibernate (JPA) on top of cloud-native technologies like Kubernetes, ArgoCD, Istio, and Terraform. This role is highly impactful: the systems you build will be used across Postman engineering, enabling faster delivery, better scalability, and a stronger developer experience. You’ll also have the opportunity to contribute to open source, shaping tools that extend beyond Postman’s boundaries. What You’ll Do Design and develop backend services in Java and Spring Boot to support Postman’s internal Cloud Platform. Architect new services that manage service deployment, lifecycle, and scaling across Kubernetes clusters. Implement GitOps workflows (ArgoCD) to support continuous delivery. Integrate with cloud-native tooling such as Istio, Helm, and Terraform. Apply strong soft

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborating with cross-functional teams to define, design, and deliver new features. Proactively identifying opportunities for, and driving improvements to, current p

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 Auth0 Platform Observability team owns the observability tooling that monitors the Auth0 Platform, and we are looking for an Observability Engineer to help ensure that our Product and Platform Engineers can monitor and observe our platform while continuing to rapidly ship software that our customers love. Our engineers maintain and automate observability tooling for our entire platform, including metrics, logs, and traces. We are looking for engineers passionate about monitoring, observing, measuring uptime and availability, and ensuring platform stability. If you have experience within the Site Reliability Engineering (SRE) field or working as a Development Operations (DevOps) engineer, and you have a passion for Observability tooling, this position will allow you to further your learning and development in these areas. As a Senior Engineer on this team, you will act as a core technical leader. You will work cross-functionally to help integrate services with our instrumentation libraries, support product teams, and actively investigate incidents to identify our observability gaps. Responsibilities: Proven ability to champion observability best practices, acting as an educator who can effectively correct anti-patterns and teach other engineering teams how to build robust, standardized instrumentation. Be an expert in running services in production environments Contribute to the process of designing services for high growth and high availability. Provisi

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 Engineering Opportunity We are looking for an experienced Senior Site Reliability Engineer to join Okta's Emerging Products Group (EPG). Our mission is to build highly reliable, scalable, and secure cloud services that our customers can trust. We embrace an automation-first mindset and continuously invest in platform engineering, observability, and operational excellence to enable our engineering teams to move quickly and safely. This role is ideal for an engineer who enjoys solving complex technical challenges at scale, building automation, and improving the reliability of production systems. You will serve as a key contributor within the EPG SRE organization, partnering closely with software engineers, architects, and product teams to design, build, and operate world-class cloud services. The ideal candidate exemplifies the philosophy of "if you have to do it more than once, automate it" and possesses a strong passion for continuous improvement, operational excellence, and software engineering. What You'll Be Doing Reliability & Operations Design, build, and operate large-scale cloud infrastructure and production services. Participate in a global on-call rotation supporting highly available customer-facing systems. Participate in incident response efforts and drive post-incident reviews focused on systemic improvements. Define, measure, and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets. Partner with en

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. Our Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy , we open source our ideas for the benefit of others. As a Infrastructure Engineer at Lyft, you will run our Production Infrastructure by monitoring system availability and take a holistic view of our platform health. You will build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers' needs in order to continually improve the platform. You will provide Lyft partner teams with operational support to help them build robust large scale distributed systems. About the Team Data Pipelines is at the heart of all critical data flowing through Lyft supporting hundreds of services that impact millions of drivers and passengers every day. Our team’s mission is to empower Lyft engineers to self-serve in building and maintaining data pipelines as needed to support products that deliver the world’s best transportation experience. We leverage a variety of technologies to store, stream and manage data making it available to our internal customers. Responsibilities: Maintain and analyze metrics from; operating systems; control planes; and applications to assist in fault detection and performance enhancement Design, develop and deploy tooling and systems that continually improve the reliability, scalability and efficiency of our platform Balance feature development speed and reliability with service-level objectives Operate and improve our Infrastructure using industry best practices and tools Participate in design and

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Data Lake Ingestion team builds the foundations that move data from Robinhood’s operational platforms into our data lake so partner teams can make data-driven decisions. Our mission centers on operating secure and reliable ingestion paths, spanning near-real-time CDC pipelines, large-scale snapshot systems, and streaming flows via Kafka and Flink. We sit at the center of Robinhood's data platform, directly enabling analytics, regulatory retention workflows, and secure access patterns across the company. We collaborate with partner teams like Storage, Streaming Platform, and Governance to maintain high data quality and schema validation at scale. Our team is built on a culture of technical excellence and collaborative problem-solving to address deep platform engineering challenges! As a Senior Software Engineer, you will design and implement the next generation of our hybrid ingestion systems, focusing on performance, schema evolution, and validation. You will scale our flagship Rocket CDC platform and migrate legacy snapshot pipelines to newer, backup-based architectures. Your work will involve developing high-throughput streaming applications with Apache Flink and Kafka

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Cloud Networking team’s mission is to build scalable, secure, and reliable networking infrastructure that powers communication across all Robinhood services. We enable our engineering teams to build and operate microservices seamlessly by providing foundational networking capabilities that are resilient and transparent. We’re looking for a Staff Software Platform Engineer to design, build, and evolve our foundational platform for large-scale services—focusing on AWS, Kubernetes (K8s) on Amazon EKS, modern networking, and a robust Istio service mesh to deliver secure, reliable, and performant systems. This role is part of the Network Service Discovery and Communication (SDC) team, responsible for service discovery, traffic management, and resilient service-to-service communication across our platform. This role is based in our Bellevue office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Lead technical s

About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems (AIS) is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. AIS spans multiple workstreams — agent evaluation and oversight, orchestration and tool-use infrastructure, model and systems optimization, and applied research on new agent capabilities — and this role is not scoped to any single one of them. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Staff Machine Learning Research Engineer, you will operate across the full breadth of AIS’s technical needs — wherever the hardest ML problem in agentic AI happens to be that quarter. This could mean training and fine-tuning models, designing evaluation and observability systems, building improvement loops from production data, prototyping novel agent architectures, or designing internal systems and tooling that boost productivity across teams. You’re not tied to one team’s roadmap; you’re expected to move to where the technical leverage is highest, and t

The Team Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model. This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin. Responsibilities Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems Participate in a 24/7 on-call rotation to resolve critical issues Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice You may be a good fit if you Have 6+ years of experience in software development and operating distributed systems Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests) Have deep experience using and extending containerization technologies, preferably Kubernetes Have a solid understanding

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 Stripe Terminal helps businesses extend their online presence into the physical world. Our mission is to make it as easy for businesses to accept in-person payments as the Stripe API has made it for online payments. With Terminal, businesses can create flagship retail experiences, extend their websites to pop-up stores, or enable mobile point-of-sale payments at their next event. All of this is built on the Stripe Payments Platform, so businesses can maintain a single view of customers and sales across online and offline channels. Our hardware engineering team in Taiwan designs and builds the physical payment devices at the heart of that experience, including products such as the Stripe Reader S700 and Stripe Reader M2. We are expanding the team and seeking an experienced Senior Mechanical and Industrial Design Engineer who can own both the structural engineering and aesthetic form language of our next generation of payment terminals. This is a blended role. You will be equally comfortable driving design for manufacturability (DFM) for a plastic enclosure and sketching form concepts that express Stripe's design identity in hardware. What you'll do You will lead the industrial and mechanical design of next-generation Stripe Terminal payment devices, shaping their form, feel, usability, and structural performance from early concepts through mass production. You will partner with cross-functional teams and suppliers to deliver manufacturable,

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Deployments team designs and maintains our continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams. This infrastructure is primarily composed of Argo Workflows and ArgoCD. The team also provides tooling that enables clear system ownership and facilitates self-service onboarding for development teams. We are looking to speak to candidates who can work East Coast hours. The ideal candidate should Have 6+ years of experience in software development and operating distributed systems Proficiency in Python, Go, or a similar language Proven experience building and operating large-scale continuous integration and continuous deployment (CI/CD) pipelines Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual process (“allergic to ops work”). We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Expectations Contribute to developing a world-class continuous deployment experience, enabling the rapid and reliable shipment of MongoDB products This includes, but is not limited to, contributing to open-source projects, or engineering software-based