Infrastructure Technical Lead

Engineering Manager - Infrastructure Services

Adyen

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Engineering Manager - Infrastructure Services We're looking for an Engineering Manager to lead our Adyen Cloud Services (ACS) Team within the Platform Engineering organization in Bengaluru. This team owns and operates Adyen's core container orchestration and traffic management infrastructure, the foundation that keeps our global payment platform running. In this role, you will drive technical strategy, build a high-performing team, and shape the evolution of our platform as Adyen continues to scale globally. WHAT YOU'LL DO * Lead and grow a high-performing infrastructure team: Manage platform and infrastructure engineers across all levels, owning day-to-day operations, planning, and hiring in Bengaluru and in coordination with other tech hubs. * Bring structure and process to execution: Introduce and refine operational processes that improve incident response, change management, and predictable delivery for mission-critical infrastructure. * Foster a culture of technical excellence: Drive globally optimized technical decisions with a focus on automation, partnering with other leads to evolve container orchestration, traffic management, and infrastructure tooling. * Scale for massive growth: Guide the team through platform modernization, multi-region resilience, and architectural evolution while owning the operational realities of bare-metal infrastructure and datacenter dependencies. * Integrate platform best practices: Ensure reliability, security, and observability are embedded into how teams consume infrastructure offering a "golden path" for engineers to deploy and operate services. WHO YOU ARE * Experienced engineering leader: Proven track record managing and growing high-performing teams in platform, infrastructure, or SRE domains. 8+ years in engineering, with 3+ years in leadership roles. * Infrastructure domain expertise: Deep understanding of container orchestration (Kubernetes), traffic management (load balancers, DNS), and on-prem/bare-metal operations. Hands-on experience running large-scale, highly available production infrastructure. * Technical leader with a strong engineering perspective: You shape technical direction, improve reliability and performance, and ensure solutions are scalable and maintainable with a focus on automation. * Hands-on when needed: While this is a management role, you're comfortable in technical discussions to guide your team and ensure sound decisions, and can partner across infrastructure and development teams to diagnose and resolve issues when needed. * Nice to have: Prior experience in FinTech or regulated industries where reliability and security are paramount. Familiarity with infrastructure-as-code, GitOps, and building automation for provisioning and lifecycle management. Our Diversity, Equity and Inclusion commitments  Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.  Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Bengaluru office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Staff Site Reliability Engineer - Release Engineering

Plaid

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Plaid's Infrastructure team builds the platforms and tooling that help engineering teams develop, deploy, and operate production systems safely. Release Engineering owns the path from merge to production, including Plaid's zero-touch deployment system, progressive rollouts, metric-gated analysis, and automatic rollback. Our goal is to make safe shipping the default for every product team. As a Staff Site Reliability Engineer on Release Engineering, you'll define and scale Plaid's reliability practices across product engineering. You'll architect our SLO and error-budget programs, drive the adoption of progressive delivery, and ensure new products are production-ready. By partnering across product and platform teams, you'll translate complex production needs into intuitive, self-service tooling. This is a hands-on technical leadership role where you'll shape the future of our deployment systems—ensuring they remain fast and safe even as AI-assisted development increases code velocity. What excites you * Lead the expansion of reliability standards across product engineering, converting foundational infrastructure into lasting operational habits and tooling. * Architect and manage the SLO and error-budget framework, empowering teams to utilize reliability data for strategic product and release choices. * Promote widespread use of progressive delivery and automated safety gates, ensuring high velocity without compromising production stability. * Guide emerging product teams toward production readiness through expertise in observability, incident response, and scalable deployment health. * Collaborate with Platform, and Infrastructure teams to transform complex production requirements into intuitive, self-service platform features. * Direct the response to critical incidents and ensure the resulting post-mortem actions yield permanent improvements to the platform. * Prepare for an AI-driven development landscape by scaling our safety nets to handle an increased volume and frequency of code changes. What excites us * Over 8 years of professional experience in backend systems, SRE, or platform engineering roles. * Proven track record of designing reliability programs—such as service maturity models or SLI frameworks—that achieved cross-team adoption. * Direct experience building or operating canary rollout systems, metric-gated analysis, or automated rollback infrastructure. * Technical proficiency in software development, with a preference for Go or similar systems languages. * Ability to drive organizational change and influence engineering culture without formal authority. * Sound technical judgment in high-stakes production scenarios, balancing user impact with developer velocity. * Prior exposure to Kubernetes, service mesh technologies, Prometheus, or ArgoCD is considered a strong asset. Our culture is rooted in impact and collective growth. We seek technical leaders who resonate with our principles of inventing tomorrow and embracing openness. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. Please review our Candidate Privacy Notice here. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

Senior Principal Network Engineer

Graphcore

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 inference workloads. Engineers work on pioneering technologies including high‑speed Ethernet fabrics, lossless networking, RDMA transport, and large‑scale automation frameworks to support next‑generation AI clusters. RESPONSIBILITIES AND DUTIES * Assist in defining ultra‑high‑bandwidth, non‑blocking AI network fabrics (Clos spine‑leaf‑super‑spine architectures) for large‑scale distributed AI workloads. • Optimize performance of lossless Ethernet fabrics using congestion control mechanisms such as PFC, ECN, and DCQCN to support RDMA/RoCEv2 communication. • Lead initiatives to implement NetDevOps practices and develop automation for provisioning, configuration management, and network remediation. • Design and deploy high‑resolution telemetry pipelines to monitor network health, detect microbursts, and analyze congestion patterns. • Support modeling, deployment, configuration, and monitoring of data center network fabrics including scale‑out, scale‑up, and front‑end networks. • Collaborate cross‑functionally with hardware engineers, AI researchers, and data center operations teams to co‑design high‑performance infrastructure. • Provide technical leadership and mentorship to network engineers while establishing best practices and operational standards. • Contribute to the long‑term networking strategy and roadmap for Graphcore’s AI infrastructure. • Research and evaluate next‑generation high‑speed networking technologies and vendor solutions. CANDIDATE PROFILE ESSENTIAL * BS or MS or equivalent experience in Computer Science, Electrical Engineering, Network Engineering, or related technical discipline. • 12+ years of progressive network engineering experience with at least 3 years in hyperscale, high‑density, or HPC data center environments. • Expert‑level knowledge of data center routing and switching protocols including BGP, OSPF, and EVPN‑VXLAN architectures. • Strong operational understanding of RDMA networking technologies such as RoCEv2 or InfiniBand. • Hands‑on experience with modern merchant silicon networking platforms and NOS platforms such as Arista EOS, Cisco NX‑OS, or SONiC. • Experience deploying high‑speed network technologies including 400G/800G optics and large‑scale fabric architectures. • Proficiency in automation and scripting languages such as Python, Go, Bash, or similar tools. • Strong collaboration and communication skills across cross‑functional engineering teams. DESIRABLE * Experience operating large‑scale AI or GPU clusters. • Familiarity with network telemetry frameworks and streaming analytics. • Experience implementing NetDevOps workflows and infrastructure automation pipelines. • Experience influencing vendor roadmaps or evaluating next‑generation networking technologies. In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.