Infrastructure Network And Supply Engineer Jobs

Your challenge As an Azure Cloud Architect, you are responsible for designing, implementing, and optimizing our cloud-based solutions. This role requires a deep understanding of cloud architectures, DevOps practices, security, scalability, and automation. You interact with development, security, and infrastructure teams to build robust, high-performing, and cost-efficient cloud environments. You work together in close collaboration with our Platform Architects and our Platform Operations team, which oversees our cloud infrastructure. You are responsible for: Designing and implementing scalable, secure, and high availability cloud solutions. Defining best practices for security, compliance, operations, and reliability. Building infrastructure as code and automation. Optimizing cloud workloads for cost, performance, and scalability. Training and mentoring junior engineers on cloud practices and operations. About you Essential talents and qualifications: A Bachelor’s or Master’s degree in a field related to Computer Science. 6+ years of work experience in cloud engineering, architecture, or DevOps. Expertise with Microsoft Azure. Comprehensive experience with Kubernetes, Terraform, Docker, and container orchestration. Strong problem-solving skills and the ability to work in a growing and fast-paced environment. Hands-on experience with CI/CD pipelines. Bonus points if you have: Cloud certifications. Experience with leading a small team. Experience with Helm, Ansible, and other automation tools. Customer support experience. Programming and scripting skills. Soft skills · Team player · Problem solver · Creative mindset Hard skills · Microsoft Azure · Kubernetes · Ter

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are currently seeking a Staff Software Engineer, Infrastructure to join the AI Platform team that powers seamless insights and interaction through natural language and data intelligence across our AI products. As a Staff Software Engineer, you’ll architect, build, and operate the backend and platform systems that power AI Platform. You’ll work across service design, distributed systems, cloud infrastructure, event-driven processing, observability, CI/CD, and production reliability, helping shape the technical direction of a platform that supports scalable, client-facing AI experiences. This role requires a strong software engineering foundation combined with deep infrastructure and systems thinking. We are looking for an engineer who can write high-quality production code, make sound architectural tradeoffs, and own platform capabilities end-to-end — not someone focused only on scripting, cloud configuration, or infrastructure tooling in isolation. You will collaborate closely with frontend, product, and AI/ML engineers to deliver reliable, secure, and scalable systems that align with Addepar’s standards of performance, resilience, and trust. Applicants must have legal authorization to work in the country where this role is based o

By applying to this role, you will be considered for engineering roles across all teams at Perplexity. We are hiring builders to join our highly leveraged engineering team for creating new products that innovate and accelerate human productivity In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between product, infrastructure and frontier level advancements in technology. Why Perplexity is Different Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. Ownership. You identify the problem, design the solution and ship it. Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. What you'll do Design, build, and own product and platform systems for Computer Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch. Hill climb on hard problems, continuously iterating to improve for ourselves and customers. Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams. Build systems that take into account the nuances of AI, working with agents, context, evaluation, personalization and the ground truth. Qualifications 4+ years of professional software engineering experience. Strong experience in at least one general-purpose programming langua

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About this role: Accelerate engineering velocity and reduce friction in the Replit development experience by stewarding our codebases, tooling, and developer workflows. You will directly impact every engineer who ships code at Replit. By focusing on developer experience, you will act as a force multiplier across all product development teams, enabling faster feature delivery, happier developers, and reduced operational overhead. The role combines the technical depth needed to navigate a complex, polyglot codebase with the product mindset to understand how infrastructure decisions impact developer productivity and ultimately customer value delivery. You will also partner closely with the AI team on our internal AI platform — which already generates more than 60% of all merged PRs at Replit — to improve the Agent's output and help shape strategy around the Agent's default stack. This is an early hire in this area, so you will have agency and have an accelerated career path as the team undoubtedly grows. You will: Maintain and evolve our codebase structure — a complex TypeScript monorepo, Go services, npm packages, and internal Agentic tooling. Own the build and test pipelines and optimize them to minimize build times and improve developer iteration speed. Drive code generation and type-safe interfaces across service boundaries (e.g., GraphQL, Protocol Buffers, gRPC, OpenAPI). Set the standards for code quality using automation tools such as TypeScript, ESLint, Prettier, and Go linters/formatters — building custom rules and plugins to enforce Replit-specific requirements. Streamline development setup and the onboarding experience. Work with platform teams to improve deployment processes, infrastructure integrations, and e

The International Entity Controller is responsible for the framework governing the Company’s legal entity accounting, statutory reporting, and regulatory compliance across all international jurisdictions. This leader ensures the Company’s entity structure operates within a disciplined control environment while delivering predictable statutory compliance, scalable reporting processes, and operational transparency across the legal entity structure. The role also drives modernization of the statutory reporting and legal entity governance model, leveraging automation, standardized processes, and operational metrics to enable a scalable global controllership infrastructure. The role reports into the Vice President, Corporate Controller. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Key Responsibilities International Entity Governance Own the Company’s international legal entity governance framework, ensuring disciplined oversight of all international entities Maintain comprehensive entity compliance calendars, statutory governance requirements, and local regulatory obligations across jurisdictions Partner with Legal and Tax to support entity formation, restructuring, liquidations, and entity rationalisation initiatives Ensure the legal entity structure remains operationally efficient, compliant, and aligned with the Company’s global business model Partner with the Tax organization to support any applicable income and/or indirect (VAT) tax audits Statutory Financial Reporting Oversee preparation and filing of statutory financial statements and regulatory filings across all international jurisdictions Ensure appropriate alignment between U.S. GAAP reporting and local statutory reporting frameworks (IFRS and local GAAP where required) Maintain strong oversight of local statutory audit processes, ensuring consistent quality and predictable completion timelines Intercompany & Cross-Border Accounting Partner with th

LHV Bank Limited is a UK-licensed bank operating across three core business segments: Retail Banking, SME Lending, and Banking Services (BaaS). The bank is a wholly owned subsidiary of LHV Group, a listed financial services provider headquartered in Estonia. LHV Bank operates under a full UK banking licence granted in May 2023. The Bank supports over 200 fintech clients with embedded financial infrastructure, provides retail savings products via digital channels, and offers SME credit solutions across the UK. In line with its regulatory responsibilities and growth ambitions, LHV Bank is committed to maintaining a robust and proportionate financial crime control environment. Expanding our services, LHV Bank now provides personal banking solutions. Our offerings include current accounts with competitive interest rates, fixed-rate bonds for long-term savings, and debit cards. Customers can conveniently access these services through the LHV App, enabling secure account opening and management. Role Overview The Senior Financial Accountant is a key member of the UK Finance team with a remit spanning finance operations, financial control and financial reporting. The ideal candidate brings strong accounting expertise, high levels of data and IT literacy, and a sharp focus on quality and control. They will be comfortable operating at pace within a highly regulated environment, with the capability and drive to continuously improve processes as the business scales. Key Responsibilities Financial Controllership & Reporting: Act as the Financial Controller’s key partner across financial controllership, supporting finance operations, technical accounting, reporting and tax, and helping drive standards, discipline and continuous improvement. Take responsibility for executing the majority of month-end and year-end close activities, ensuring outputs are accurate, complete and delivered on time in line with IFRS and regulatory requirements. Ensure the integrity of the gener

About the Team DoorDash's Red Team exists to find critical attack paths before real adversaries do. We operate across the full adversary simulation lifecycle — scoping threat-informed engagements, executing realistic attack chains, and working with engineering and detection teams to close the gaps we uncover. Our attack surface spans a multi-sided marketplace: consumer and merchant data, payment systems, driver logistics, and the cloud-native infrastructure that ties it all together. We're looking for a leader who can take this team to the next level. About the Role We need an offensive security leader who stays close to the work. As the Engineering Manager of the Red Team, you'll inherit an existing team, level it up, expand headcount, and build the partnerships needed to turn red team findings into real engineering change. This is a player-coach role — you'll set strategic direction while staying hands-on with engagement scoping, tradecraft, and tooling decisions. You'll report to the Director of Global Security Services. You're excited about this opportunity because you will… Define the red team's strategic roadmap — engagement cadence, target prioritization, and capability development — aligned to DoorDash's threat landscape. Lead, coach, and grow a team of offensive security engineers. Hire intentionally to fill capability gaps as the team scales. Stay technically involved in engagement scoping, methodology, and tooling architecture. Guide adversary simulation, not just manage it. Drive remediation outcomes cross-functionally — partner with detection/response, AppSec, infrastructure security, and product engineering to make sure findings get fixed, not just documented. Build purple team workflows with detection engineering to validate and improve defensive coverage. Direct the development of red team infrastructure and custom tooling as production-quality software. Translate offensive findings into risk language that engineers, VPs, and non-technical stakeholde

JOB TITLE SOFTWARE ENGINEER, TECHNOLOGY A CAREER WITH POINT72'S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU'LL DO We are looking for an experienced professional to work as part of the Finance Technology team. In addition to tactical development, you will be responsible for delivering and creating programs to modernize and scale the platform through technology upgrades, cloud technology adoption, and re-architecting business processes. You will work alongside world-class engineers, partnering directly with Finance stakeholders to understand existing workflows and deliver scalable replacements. This position offers deep domain exposure across FP&A, investor reporting, and compensation, and contributes to the modernization roadmap. Specifically, you will: Build software applications and deliver software enhancements and projects supporting finance and investor processing. Work closely with business stakeholders to develop software solutions using test-driven and agile software development methodologies. Be responsible for system upgrades and features supporting resiliency and capacity improvements, automation and controls, and integration with internal and external vendors and services. Contributing to architecture of core platforms and accelerating modernizing leveraging AI tools Work with DevOps teams to manage and resolve operational issues and leverage CI/CD platforms while following DevOps practices within the team and projects. Continuously improve the platforms using th

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are looking for a systems-minded engineer to help advance our kernel development, performance engineering, and hardware-software co-design capabilities, with a particular focus on AI-assisted workflows and tooling. This person will work at the intersection of kernel optimization, developer tooling, observability, and research infrastructure, helping us improve both how production kernels are built and optimized, and how future hardware-software systems are designed and evaluated. The role is ideal for someone who is excited by low-level performance work, but also sees AI and automation as powerful tools for accelerating engineering velocity. You will help define the future of kernel engineering in the era of AI-assisted development. In this role, you may: Build developer tooling and workflows that make kernel development and performance optimization faster, more scalable, and easier to debug, integrate, and deploy. Develop observability, diagnostics, and validation infrastructure that makes AI-assisted optimization systems more interpretable, reliable, and effective. Optimize production kernels end to end by formulating optimization problems, running search loops, analyzing bottlenecks, debugging generated implementations, and landing improvements into production. Design abstractions, interfaces, and automation systems that accelerate kernel optimization, correctness validation, and hardware-software co-design. Improve AI-assisted optimization systems for sp

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are looking for Facility Experts of different facility systems, including Electricity, Water, Gas, Chemical, Exhaust, Mechanical, and CSA, and Project management. The Facility Expert is responsible for planning, designing, and overseeing electrical systems and infrastructure within plant, office, and production environments. This role ensures optimal facility performance, compliance with safety and building codes, and cost-effective operations. The expert will collaborate with internal teams and external engineering firms to deliver high-quality electrical solutions that support business objectives. Key Responsibilities: Facility Planning & Design Plan and implement electrical system changes for plant, office, and production equipment layouts. Ensure designs maximize operational efficiency and comply with applicable laws, regulations, and safety standards. Coordination & Documentation Work closely with architecture and engineering firms to develop design criteria and prepare detailed electrical layouts and drawings. Prepare bid sheets, technical specifications, and contracts for electrical construction and facility acquisition projects. Cost Estimation & Budgeting Review and estimate design costs, including equipment, installation, labor, materials, and related expenses. Prov

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! With your passion to learn about the cloud, you are excited to help build the Cloud Native management interfaces of an already Cloud Native Database platform. You will join a team of experienced engineers who are defining what it means to be a cloud native database platform, and you will contribute directly to the components and integrations that make it happen. With guidance from senior engineers, you will deepen your knowledge of the Cloud Native ecosystem, including Kubernetes, observability and automation tooling, and help bring Couchbase everywhere it can add value. You will have opportunities to contribute to Open Source Cloud Native projects and grow your presence in those communities. In doing so, you will help Couchbase continue to gather users, deployments and customers in the constantly growing

About the Role We are a small team of AI builders in Paytm Labs. As a Staff AI Platform Engineer, you will work across inference and agentic systems. You will contribute to Paytm's AI inference platform (Pi), serving internal teams and enterprise customers - running our own coding and domain-specific models (voice, vision, risk, fintech workflows) as well as third-party models. You will also architect and build the platform that enables autonomous AI agents to operate safely and reliably in production - the runtime, orchestration, and developer tooling for agents to reason, plan, use tools, and execute complex multi-step workflows, automating both software development and business processes. You will work at the intersection of LLMs, distributed systems, and production fintech infrastructure, helping define how inference and agentic AI are built and deployed across payments, risk, fraud, collections, support, and developer experience. What You'll Do Inference & Model Serving Build and operate multi-model serving across modalities (text, voice, code, vision) on shared infrastructure Own the model lifecycle: download, deploy, serve, monitor, update, swap Drive inference optimization: latency, throughput, cost - including quantization, batching, caching, and routing strategies Ensure inference is fast and reliable for the agents and systems that depend on it Agentic Systems Architect and build the Agentic AI Platform - runtime infrastructure, orchestration systems, and developer tooling for autonomous agents Design multi-agent coordination systems enabling agents to collaborate and solve complex workflows Build robust tool-use infrastructure that allows agents to interact with APIs, databases, and services safely Implement workflow automation: agents that execute multi-step business and engineering tasks with appropriate guardrails Build safety and gu

About Us What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade – creating a seamless and efficient logistics process. Your role & Mission The Site Reliability Engineering team at Forto is responsible for reliability and developer experience. We enable our development teams to write complex business logic by providing best-in-class tooling and infrastructure. We have a production environment based on GCP, Kubernetes, Terraform, and Helm. On top of that, we have self-service tooling written in TypeScript. “You build it, you run it” - our job is to make that real. This is a high-ownership role on a lean team that directly shapes how 70+ engineers build and ship software. If you care about platform quality and want your work felt immediately across an engineering org, this is a great match for you. What you will do Build out our runtime platform as a self-service product that enables our engineering teams to write code, run workloads, and drive engineering culture forward. Bring software development skills and practices into platform engineering, such as code quality, domain-driven design, and test-driven development. Own the developer portal and internal platform roadmap, including leading this year's overhaul of our CI/CD pipelines in collaboration with all product teams. Ensure site reliability by building observability solutions, deployment, and disaster recovery capabilities. Own reliability standards end-to-end through SLOs and error budgets — shaping how teams balance velocity and risk. Drive infrastructure cost optimisation across Kubernetes, MongoDB, and Datadog at scale. Improve our security posture through tooling, compliance work, and

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. Primary Job Role As a GOC Enterprise Support Engineer, you will play a critical role in maintaining the operational stability and efficiency of THG’s core systems. You will be responsible for managing major incidents, monitoring infrastructure, diagnosing issues, and collaborating with cross-functional teams to ensure seamless operations and rapid incident resolution. Duties & Responsibilities Deliver exceptional technical support via chat, tickets, and calls, ensuring prompt resolution and a world-class customer experience. Monitor THG websites and infrastructure using dashboards, wall boards, and Teams channels to ensure optimal performance and availability. Respond to critical alerts and collaborate with technical teams to triage and restore service. Manage, coordinate, and communicate Major Incidents (MIs), including stakeholder updates and post-incident reviews. Support change coordination activities, including impact assessments, scheduling, and communication. Log and respond to internal and external customer queries across multiple channels. Contribute to the development and refinement of operational processes and documentation. Participate in continual service improvement (CSI) initiatives to enhance service quality and operational efficiency. Collaborate within a 24/7 shift rotation to ensure consistent coverage and support. Meet SLAs and individual KPIs for incident resolution and service delivery. Identify and implement opportunities for process and service improvem

About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About the Role We’re looking for a Technical Program Manager to own and scale the systems that power robotic data acquisition across our development and evaluation environments. This role sits at the intersection of Robotics Engineering, Operations, and Infrastructure, ensuring that DAQ stations and associated workflows reliably produce high-quality data for model training and evaluation. You will drive end-to-end execution of complex, cross-functional programs that integrate robotic platforms, sensing systems, operator tooling, and data pipelines into cohesive, production-ready systems. Success in this role requires strong systems thinking, operational rigor, and the ability to translate ambiguous research needs into scalable infrastructure. In this role you will: Own DAQ Program Delivery Lead the roadmap, execution, and scaling of robotic DAQ systems, ensuring alignment with research, engineering, and operational priorities. Drive Cross-Functional Integration Coordinate across robotics hardware, software, infrastructure, and operations teams to deliver tightly integrated, deployment-ready data collection systems. Operationalize Data Collection Systems Translate experimental and research workflows into repeatable, scalable DAQ processes with clear SLAs, metrics, and reliability targets. System Readiness & Deployment Ensure DAQ stations (robots, sensors, compute, operator interfaces) are fully integrated, validated, and ready for production use across multiple sites. Program Execution & Risk Management Build and manage detai