Platform Infrastructure Engineer Jobs

The Role We’re looking for a Senior DevOps Engineer to help scale and operate the infrastructure behind our platform. This is a hands-on individual contributor role focused on cloud infrastructure, automation, and reliability. You’ll partner closely with engineering teams to improve system performance, strengthen security, and enable fast, reliable deployments. What You’ll Do Design and operate scalable AWS infrastructure. Build applications with containerization technologies such as Docker and orchestration tools like Kubernetes. Implement robust monitoring and logging tools (e.g., NewRelic, DataDog, Grafana, etc). Build and manage infrastructure as code using Terraform Improve CI/CD pipelines (Jenkins and GitHub Actions) to accelerate delivery Troubleshoot production issues and lead root cause analysis Build and work in complex SDLC environments Collaborate with engineering teams to streamline development and deployment workflows What You Bring 6–10 years in DevOps, SRE, or infrastructure engineering Strong hands-on experience with AWS in production environments Experience with Kubernetes and containerized systems Proficiency with Terraform (or similar IaC tools) CI/CD experience (GitHub Actions, Jenkins, or equivalent) Scripting skills (Bash, Python, or similar) Solid Linux/Unix fundamentals Why Sureify Build systems that support millions of users Work in a high-growth, engineering-driven SaaS company Remote-first across the Americas Competitive compensation, equity, and flexible PTO Our Guiding Principles Our products are for nothing if their creators are not fulfilled in their work. We want our employees to flourish at Sureify. We do not fawn over status or titles, instead, we honor effort and intelligence. The best idea wins no matter which colleague proposed it. We do not shortcut our mission with overblown claims or false promises. Sticking to the truth is both a strategy and a principle for us. Sureify is an Equal Opportunity Employer committed to div

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: As a member of the AI Gateway Team, you will be responsible for developing and enhancing our AI Gateway platform, which provides a unified API for accessing hundreds of AI models from multiple providers. You will collaborate with a remote and distributed team of engineers to build reliable, low-latency systems that handle rate limiting, intelligent failovers, and seamless integrations, enabling developers to ship AI-powered applications without managing provider-specific complexities. This role focuses on ensuring production-ready reliability for AI workloads, including automatic fallbacks during outages and consistent performance across providers like OpenAI, Anthropic, Google, and more. What You Will Do: Contribute to the design, implementation, and maintenance of the AI Gateway platform, emphasizing features like unified API endpoints, rate limit management, and intelligent failover mechanisms to boost uptime and reliability. Write clean, efficient, and well-documented code, conducting thorough testing to ensure low-latency responses and stability for high-volume AI inference requests. Collaborate with cross-functional teams, including product managers, AI researchers, and infrastructure engineers, to integrate new AI providers and models while addressing scalability and performance challenges. Engage with the open-source community, contribute to AI SDK and related projects, and align with Vercel's ethos of fostering developer tools. Gather user feedback and analytics to drive innovations in AI Gateway, such as enh

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. Workforce Identity Cloud Okta Workforce Identity Cloud (WIC) provides easy, secure access for your workforce so you can focus on other strategic priorities, such as reducing costs and doing more for your customers. If you like to be challenged and have a passion for solving large-scale automation, global traffic routing, and resilient cloud infrastructure problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new network topologies, multi-cloud ecosystems, and agentic engineering models. Position Overview: The Staff Software Engineer - Infrastructure will play a foundational role in architecting, evolving, and securing Okta's global core network fabric and multi-cloud platform layers. This position focuses on building highly resilient, edge management in AWS and GCP cloud, executing enterprise-wide cloud migrations (AWS to GCP), enforcing absolute Zero-Trust primitives (mTLS / TLS 1.3), and integrating cutting-edge AI automation layers (Agentic SRE) into our day-to-day operations. As a Staff Engineer on this team, you will act as a key technical anchor in India, working closely with global counterparts to maintain Okta's high-availability SLAs while protecting the platform against active global DDoS attacks. Key Responsibilities: Global Ingress & Routerless Evolution (CFSaaS): Design and engineer Next-Gen traffic

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building intelligent, autonomous systems directly into the Brex platform. Our teams develop AI agents that don’t just surface insights—they take action, optimizing spend, managing workflows, and making real-time decisions on behalf of our customers. By deeply integrating proprietary financial data with product and platform infrastructure, we’re turning complex financial operations into simple, automated experiences and setting a new standard for how modern finance works. What you’ll do You'll be a product engineer building Brex's Audit Agent — an agentic system that reviews customer spend at scale and replaces the manual work traditionally done by BPO teams. The agent itself reasons; the surrounding product harness is what makes that reasoning useful, trustworthy, and operable for real customers. That product harness is where you'll live. You'll desig

Lead DevOps Engineer As a Lead DevOps Engineer at Particle41, you will own the DevOps strategy and the design, automation, and operation of the cloud infrastructure that powers our clients’ most complex digital projects. Working closely with cross-functional teams, you will champion DevOps culture and practices, set the standards other teams build on, and ensure the delivery of innovative and high-quality projects. Your role will also involve mentoring and coaching team members, fostering a culture of collaboration, automation, and continuous learning. In This Role, You Will: Strategy & Practice Ownership Own the DevOps technical roadmap and vision, in collaboration with architects and stakeholders, and align it with business goals. Define the "golden path": reference architectures, reusable IaC modules, pipeline templates, and standards that teams across projects adopt. Be accountable for platform reliability, security posture, and delivery velocity outcomes across the engagements you lead; measured through SLOs, not just activities performed. Represent the DevOps practice with clients: participate in discovery and pre-sales conversations, estimate and scope infrastructure workstreams, and advise client leadership on cloud and platform decisions. Contribute to growing the practice interview and assess DevOps candidates, and help shape team structure and capability development. Infrastructure & Platform Engineering Lead the design and implementation of cloud infrastructure across AWS, Azure, and GCP using infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi. Architect and operate container platforms, including Kubernetes (EKS, AKS, GKE) and managed container services, to support scalable, resilient workloads. Define landing zones, account/subscription structures, and network topologies that balance security, cost, and developer velocity. Evaluate and recommend platform tooling and managed services to support business requirements. CI/CD

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall : We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here. As a backend/AI engineer at Aircall, you will be working on developing scalable AI applications to be used by our 20,000+ customers. You will be a part of the AI Products Platform team, working on areas like agent context, agent infrastructure, MCP, agent memory etc. You will work closely with backend, front end and infrastructure engineers, as well as product and leadership teams. You will also participate in requirements analysis and design of these systems. 8+ years of experience in back-end develop

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building intelligent, autonomous systems directly into the Brex platform. Our teams develop AI agents that don’t just surface insights—they take action, optimizing spend, managing workflows, and making real-time decisions on behalf of our customers. By deeply integrating proprietary financial data with product and platform infrastructure, we’re turning complex financial operations into simple, automated experiences and setting a new standard for how modern finance works. What you’ll do As an AI Engineer on our Finance Agents team, you’ll build Brex’s Agent Workbench: our singular conversational surface where finance professionals work with Brex’s agents through documents, charts, spreadsheets, and other interactive surfaces. You’ll help customers understand financial activity, investigate findings, revise policies, and steer agents doing consequential

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacarts Data Infrastructure organization builds and operates the systems that power our company’s data ecosystem, including a modern open data lakehouse on Apache Iceberg, a multi-engine compute platform for stream and analytical workloads, and self-serve tooling that helps Product, Data Science, ML, Ads, Finance, and engineering teams move fast with data. We’re looking for a Staff Software Engineer, Data Infrastructure to join our Data Governance and Foundations Team. In this role, you’ll serve as a senior technical leader owning the architecture and delivery of our open lakehouse foundation, governance and access patterns, and multi-engine compute strategy—balancing today’s reliability with the next three to five years of scale, maturity, and cost efficiency. You’ll collaborate closely with engineering leadership and stakeholders across Data Science,

Senior Site Reliability Engineer (SRE) / Managed Services Engineer Who We Are Horizon Trading Solutions is an independent global technology company focused on electronic trading, supporting agency and principal business goals across equities and derivatives. With over 20 years of experience, Horizon provides a powerful multi-asset trading platform with direct connectivity to more than 80 exchanges worldwide, enabling clients to deploy sophisticated trading strategies across global markets. As our Managed Services and SaaS activities continue to grow across APAC, we are looking for a Senior Site Reliability Engineer (SRE) to join our Hong Kong team and play a key role in delivering highly available, secure, and performant trading infrastructures for our clients. Role Overview The Senior SRE Engineer will be responsible for designing, deploying, operating, and continuously improving the infrastructure supporting Horizon's hosted and managed trading platforms. Working closely with Infrastructure, Development, Product, and Client Services teams, you will ensure the reliability, security, performance, and scalability of critical production environments deployed on premises, in colocation facilities, and in cloud environments. This is a hands-on engineering role suited to someone passionate about operational excellence, low-latency infrastructures, automation, and financial technology. Key Responsibilities Platform Reliability & Operations Ensure high availability and operational readiness of Horizon's managed trading platforms. Monitor, maintain, and optimize production environments through proactive health checks, performance tuning, upgrades, and preventive maintenance. Diagnose and resolve infrastructure, network, database, and application incidents to minimize service disruption and meet service level objectives. Respond proactively to infrastructure alerts and client issues, lead deep-dive root cause analyses, and drive continuous improvement initiatives to enha

About Rubrik and the team Rubrik is on a mission to secure the world’s data. With our Zero Trust Data Security™ platform, we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik protects data wherever it lives—across enterprise, cloud, and SaaS—and delivers data observability, orchestration, and recovery at scale. The Information Technology team at Rubrik influences business processes, employee experience, and technologies to scale our organization to $1B+. This team creates operational efficiency across the company by centralizing the management of Infrastructure, Technology, and Data. The IT team ensures all stages of the software development lifecycle in a secured environment and scrutinizes the deployment of proper processes along with governance. They champion Rubrik on Rubrik and are the first customers of the Engineering teams at Rubrik. We're transforming global infrastructure, and we’re looking for bold thinkers and builders to join us. If you're passionate about making an impact and shaping the future of cloud and platform infrastructure—we'd love to hear from you. About the Role The Enterprise AI team is Rubrik’s internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations — our job is to make Rubrik more efficient, one AI-powered workflow at a time. This is a high-impact, high-autonomy team where you’ll work closely with engineering, product and operations teams across Rubrik to bring AI capabilities to life. We’re hiring a Sr. Software Engineer to design, build, and operate the platform and backend systems that power Rubrik at scale. You’ll own core infrastructure — from Kubernetes and cloud-native services to APIs a

CSQ127R154 As a Senior Production Engineer working on Databricks’ realtime products you will be directly contributing to our customers’ success. You will build advanced monitoring and incident mitigation tooling, and drive changes across the stack to proactively make the realtime products like Lakebase, Neon and Model Serving reliable, secure, and scalable in production. Our production engineers understand the Databricks platform from end to end, and partner across engineering teams, building durable solutions for a platform operating across AWS, Azure, and GCP. The Impact You’ll Have Observability Build advanced monitoring and detection capabilities that give early warning of issues and deep insights into workload performance and customer experience. Build reliable, observable automation for debugging and incident mitigation. Reliability Improve service reliability, scalability, security, and operational efficiency. Develop dependable, safe, mitigations for production issues. On-Call & Incident Response Participate in a follow-the-sun on-call rotation and lead incident response and mitigation. Perform root-cause analysis, identify and implement lasting corrective actions. Partner with Product Engineering, Security, Support, and other infrastructure teams on follow up actions. What We Look For Experience 5+ years of experience in Production Engineering, Customer Reliability Engineering (CRE), Site Reliability Engineering (SRE), infrastructure engineering, backend software engineering, or a related field. Experience in holistic monitoring and alerting of complex stateful systems, applying multiple strategies like workload alerting, anomaly detection and probing. Experience with PostgreSQL, or related managed databases or distributed systems. Experience in incident management and participating in on-call rotations for critical infrastructure. Skillset A mindset focused on automation, root-cause resolution, and continuous improvement. Strong programming skill

Who We Are: At Bandwidth , we shape how the world connects. We're the global communications software company and Tier 1 network operator with global reach. The voice, messaging, and emergency services infrastructure behind the brands and apps you use every day. Because we own the network we build on, the problems you'll solve here are bigger, more complex, and more impactful. And as communications shifts to AI, we're the infrastructure layer making it possible. We call ourselves BANDmates because building something this big takes collaboration, different perspectives, and the freedom to bring your authentic self to the table. We're experts who speak like humans. Ready to build what's next? #JoinTheBand What We Are Looking For: The Core Voice Engineering and Technology team at Bandwidth designs, builds, and maintains the software, cloud, and network platforms that support Bandwidth’s global communication services and internal development teams. We are looking for a Sr. Software Development Engineer (Voice Network) to join a collaborative, high-impact engineering team building the next generation of Bandwidth’s voice infrastructure and internal platform services. This role sits at the intersection of software engineering, distributed systems, cloud infrastructure, and telecommunications. You will design and build platform APIs, backend services, and automation capabilities that abstract and manage globally distributed voice systems. You will work in an R&D-focused environment where engineers are expected to operate autonomously, explore ambiguous technical problems, build prototypes and proofs of concept, and develop scalable solutions that can be deployed across global cloud and data center environments. While experience with networking and VoIP technologies is valuable, this is primarily a software and platform engineering role focused on building reliable, programmable, and globally scalable services for voice infrastructure. What You'll Do: Design, build

The Autonomous Ops & Maintenance (ATOM)Team is developing an innovative platform that leverages artificial intelligence and automated systems to empower engineering groups in safely executing complex operations and software maintenance. Their primary objective is to minimize repetitive toil while delivering the precise visibility, oversight, and trust necessary to run automated solutions in mission-critical environments. Consider it an intelligent virtual collaborator operating alongside development and infrastructure engineers, directly offloading routine operational overhead that currently requires manual intervention. We are looking for a Senior Software Engineer to help us design and scale our foundational architecture. In this role, you will synthesize vast technical datasets into rich structured knowledge, engineer AI-driven components capable of analyzing intricate operational workflows, and construct highly reliable systems to execute automated modifications seamlessly. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead a greenfield initiative from inception to scale, shaping foundational product architecture, engaging directly with users to refine early concepts Build mission-critical solutions that customers depend on daily Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Who You Are: You have 6+ years of experience You have a BS/MS/PhD in a scientific field or equivalent experience You are proficient in Go You are comfortable building and operating production services end to end: You will independently own features and components, work through ambiguous technical problems, and be responsible for the reliability, observability, and operational q

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As an MFG Test Development Software Engineer , you will drive the end-to-end test architecture and software automation that powers Everpure’s next-generation server and storage systems. Working at the intersection of Design Engineering, Operations, and Quality, you will transform complex hardware designs into resilient, scalable manufacturing test solutions from early NPI through full production. In this role, your code and test strategies directly elevate product reliability, optimize yield, and accelerate global delivery. WHAT YOU'LL DO Architect and execute comprehensive functional testing strategies (PCBA/L6 to system-level/L10) across all NPI stages to maximize manufacturing test coverage and boost production efficiency. Design, build, and deploy standardized, high-performance manufacturing test software and automation frameworks, partnering with Test Infrastructure engineers to equip hardware test stations and production racks. Lead root-cause debugging for complex hardware failures while building high-availability database systems to capture and analyze high-throughput manufacturing telemetry for continuous quality improvement. Author clear, production-grade test requirements, validation reports, work instructions, and troubleshooting guides to empower global contract manufacturing teams and ensure seamless product lifecycle transitions. WHAT YOU BRING Deep technical expertise in PCBA (L6) and system

About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role owns how Sapience AI serves intelligence at scale. You build and run the inference infrastructure that turns the models and reasoning behind MINERVA and COGENT into fast, reliable, affordable answers for members. You work where models meet production: serving, scaling, latency, and cost. Every time a member asks the platform something, your systems are what make the answer arrive quickly and hold up under load. You sit close to applied AI, research, and platform engineering, and you make the difference between a model that works in a notebook and one that serves a community reliably. Why this role exists Collective intelligence is only useful if it is fast and dependable. Members will not wait, and communities cannot rely on a platform that buckles under load or costs too much to run. Serving modern AI at scale is a hard systems problem: large models, tight latency budgets, expensive hardware, and demand that spikes. It takes real infrastructure engineering to get right. The AI/ML Infrastructure and Systems Engineer owns that problem. You make inference fast, reliable, and affordable, so the intelligence the platform promises actually reache