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 the role: Join our engineering team for a 16-week paid internship (JAN - APRIL) where you'll work alongside world-class engineers, designers, and product managers to build the future of software creation. You'll contribute to real features that impact millions of developers worldwide, from our AI-powered development environment to the infrastructure that makes lightning-fast collaboration possible. This isn't just about learning—you'll ship meaningful code that helps democratize software creation. Whether you're optimizing our cloud infrastructure, building intuitive developer tools, or enhancing our AI agents, your work will directly empower creators around the globe. You will: Ship real features to millions of developers using Replit's platform Collaborate cross-functionally with engineers, designers, product managers, and AI researchers Build and optimize developer experiences that make coding accessible to everyone Work on cutting-edge AI tools and infrastructure that power the next generation of software creation Learn from the best in an environment where your ideas are heard and often implemented Required skills and experience: Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or related technical field Have at least one semester of schooling remaining after the internship completion Proficient in at least one programming language and comfortable with full stack development Passionate about developer tools, AI, or making technology more accessible Thrive in fast-paced environments where you can move quickly and adapt to changing priorities What we value : Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effectiv
Jobiba hiring network
Cloud Infrastructure Engineer Jobs
5,802 active opportunities · Updated for October 2026
Fresh results
15 shown
Explore current cloud infrastructure engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.
We are building a new Technical Services capability in Mexico to support a platform that helps customers build, deploy, and operate AI applications using MongoDB. This is an early hire on a growing team, and you will have the opportunity to help shape how we support customers, collaborate with Engineering and Product, and build the team’s technical practices from the start. The platform brings together AI application workflows, orchestration, model and tool integrations, cloud infrastructure, data services, and observability. The support team will work across these layers to help customers troubleshoot complex issues and operate their applications successfully. We are looking to speak to candidates based in Mexico City for our hybrid working model. The role As a Senior Technical Services Engineer, you will provide technical leadership for customers operating AI applications on a new MongoDB platform. You will own complex investigations across application behavior, agent workflows, APIs, cloud infrastructure, security, and data services, and help shape how Technical Services supports the platform as it scales. This is a senior individual contributor role where you lead through technical judgment, customer ownership, written communication, and influence across teams. What you’ll do Owning complex and high-impact customer investigations involving AI applications and agentic workflows Leading structured investigations, root-cause analysis, and recovery efforts across multiple technical layers Leading investigations into agent workflows, tool calls, model-provider integrations, memory, checkpoints, streaming, retries, and timeouts Reading and debugging Go, Typescript, Python services and agent implementations; using logs, metrics, traces, and diagnostic tooling to develop evidence-based conclusions Troubleshoot Kubernetes and containerized workloads, including deployments, images, secrets, resource failures, and networking Serving as a technical subject-matter expert for
About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together, designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We're hiring a Member of Technical Staff (Information Security Engineer) to secure the infrastructure and systems Hark runs on. You'll harden our AWS environments, own identity and access across the company, build detection and response, and lead incident response when things go wrong. We run model training, agent sandboxes, and hardware manufacturing pipelines, so the environment is broader and more interesting than a typical SaaS stack. This role is hands-on; you'll be building and operating, not managing or auditing. Responsibilities Harden cloud infrastructure across multiple AWS accounts (IAM, EKS, VPC and network access paths, KMS) and review IaC for misconfigurations. Own identity and access: SSO, least-privilege IAM, just-in-time access, secrets management, and access reviews. Build and maintain detection and alerting pipelines; lead triage, containment, and post-incident review. Secure the corporate environment: endpoint management, SaaS security posture, and zero-trust network access. Evaluate third-party vendors and integrations for security and privacy risk. Build the technical controls and evidence behind our compliance programs (SOC 2, GDPR) as automation, not spreadsheets. Requirements 4–8 years of hands-on security engineer
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role Block’s Detection and Response Team (DART) investigates and responds to threats across our products and systems. Within DART, the Computer Security Incident Response Team (CSIRT) leads complex investigations and coordinates the response to security incidents across the company. You’ll establish what happened, determine the scope and impact, guide containment and recovery, and keep responders and stakeholders aligned. You’ll be a trusted resource for your peers, contributing technical judgment and direction to complex investigations and helping the team make sound decisions. You’ll partner closely with engineers, other security teams, Legal, Privacy, and business leaders. Between incidents, you’ll innovate by building the tools, workflows, and procedures that make our response stronger. You Will Command complex, high-impact security incidents from initial assessment through containment, recovery, and closure. Investigate threats across endpoint, identity, cloud, SaaS, network, and application systems and drive containment and remediation with system owners, weighing urgency, evidence preservation, and business impact. Reconstruct timelines, preserve evidence, and determine the scope and impact of incidents. Coordinate containment and remediation with system owners while balancing urgency and business impact. Keep incident priorit
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : Billing powers Elastic's Cloud business. It runs across AWS, GCP, and Azure in over 50 regions. We oversee usage-based metering, consumption billing, and marketplace integrations at global scale. The Billing Core team owns the data layer that makes billing correct, auditable, and automated. We work across two areas: Usage — Collect and process usage and cost data. This data is the foundation of our billing and financial reporting. Engine — Turn hourly usage data into customer invoices and revenue records. We are looking for a Principal Software Engineer to drive technical direction within the Billing Core domain. This is a hands-on role. You will design systems, improve how we operate, and work across teams. You will help our billing services grow in scale, reliability, and developer productivity. You will work closely with Product, SRE, and Cloud Infrastructure teams. What You Will Be Doing : Own complex billing and account management systems that span multiple services and cloud providers. Build large-scale data pipelines for billing data ingestion, transformation, and reconciliation. Improve observability, incident response, and reliability of core billing systems using modern DevOps practices. Shape system architecture for scale and modularity. Guide service design, API structure, and data modelling. Work with SRE and Cloud
Staff Engineer About LaunchDarkly Engineering LaunchDarkly helps engineering organizations ship software and AI with speed, safety, and control. Our platform gives teams the confidence to release gradually, target experiences to the right audiences, learn through experimentation, understand what is happening in production, and respond quickly when risk appears. Our engineers build the systems, services, SDKs, developer tools, cloud infrastructure, and product experiences that make this possible. The work spans high-scale distributed systems, reliable data and event pipelines, intuitive enterprise workflows, and AI-powered capabilities that help teams manage the next generation of software delivery. LaunchDarkly’s SDKs are used in systems that perform trillions of feature flag evaluations each day, giving our engineering work a direct connection to the reliability and customer experience of software around the world. As the company grows, we are expanding beyond traditional feature management into experimentation, observability, and AgentControl—helping customers control more of the software and AI lifecycle. That creates an unusually broad set of technical challenges, visible customer impact, and room for engineers to shape what comes next. We believe in the power of teams. We work with humility, openness, curiosity, and care; we value clear communication, thoughtful technical judgment, inclusive collaboration, and a strong sense of ownership. We encourage people to apply even when they do not meet every qualification listed below. We are interested in the experience, perspective, and potential you would bring to the role. About the role Staff scope at LaunchDarkly is defined by impact rather than title alone. The specific domain may include platform infrastructure, APIs, SDKs, data systems, observability, experimentation, feature management, or AI/agent capabilities. As a Staff Engineer at LaunchDarkly, you will provide technical leadership beyond a single team. Yo
Backend Engineer About LaunchDarkly Engineering LaunchDarkly helps engineering organizations ship software and AI with speed, safety, and control. Our platform gives teams the confidence to release gradually, target experiences to the right audiences, learn through experimentation, understand what is happening in production, and respond quickly when risk appears. Our engineers build the systems, services, SDKs, developer tools, cloud infrastructure, and product experiences that make this possible. The work spans high-scale distributed systems, reliable data and event pipelines, intuitive enterprise workflows, and AI-powered capabilities that help teams manage the next generation of software delivery. LaunchDarkly’s SDKs are used in systems that perform trillions of feature flag evaluations each day, giving our engineering work a direct connection to the reliability and customer experience of software around the world. As the company grows, we are expanding beyond traditional feature management into experimentation, observability, and AgentControl—helping customers control more of the software and AI lifecycle. That creates an unusually broad set of technical challenges, visible customer impact, and room for engineers to shape what comes next. We believe in the power of teams. We work with humility, openness, curiosity, and care; we value clear communication, thoughtful technical judgment, inclusive collaboration, and a strong sense of ownership. We encourage people to apply even when they do not meet every qualification listed below. We are interested in the experience, perspective, and potential you would bring to the role. About the role We have multiple backend engineering roles open on various teams. The specific level, scope, and technical focus will be aligned to the opportunity and the candidate’s experience. Experience with cloud platforms, distributed systems, developer tools, SDK engineering, data infrastructure, observability, or AI/agent systems may be r
CAPCO POLAND *We are looking for Poland based candidate. At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management. Role Overview We are looking for a DevSecOps Engineer to provide support for our client in the insurance sector, helping embed security into cloud infrastructure and delivery processes. You will work across AWS and Azure, combining Infrastructure as Code, automation, CI/CD security, and developer enablement to build secure-by-default, scalable cloud environments. Key Responsibilities Policy-as-Code & Guardrails: Write, test, and deploy automated policy guardrails using Infrastructure as Code (IaC) linting and scanning tools (e.g., Checkov, Tfsec, OPA/Rego) to catch misconfigurations before they reach production. Multi-Cloud Automation: Build and manage highly available infrastructure across AWS and Azure using Infrastructure as Code (Terraform). Security Product Deployment: Automate the baking of EDR agents, vulnerability scanners, and monitoring tools into base machine images (AMIs, Azure Golden Images) and containerized base environments reps. Develop software distribution solution with cloud native tooling (Azure extension, AWS SSM) Developer Enablement: Serve as a bridge between Security and Engineering, providing developer-friendly remediation guidance and creating reusable, secure-by-default code templates (Terraform modules, Helm charts). Required Skills & Qualifications Experience: 3+ years in a cloud operations or infrastructure role managing production environments in both AWS and Azure. Tools: Deep familiarity with Terraform and scripting languages (Python, Bash, or PowerShell). DevSecOps & CI/CD Pipelines: Deep, practical experience constructing and se
This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Your Role at Baxter As a Principal DevOps Engineer, you will provide technical leadership in the design, implementation, deployment, and support of cloud and platform engineering solutions that enable product development teams. You will partner across engineering functions to build scalable, reliable, and secure infrastructure while helping drive operational excellence through automation, observability, and continuous improvement. What You'll Do: Design, implement, and support cloud infrastructure solutions that enable the development and operation of Baxter products and applications. Manage infrastructure, platform, and deployment processes for product teams to ensure reliability, scalability, and performance. Deploy, manage, and troubleshoot containerized applications using Kubernetes and cloud-native technologies. Develop and maintain Infrastructure as Code (IaC) solutions using Terraform to automate infrastructure provisioning and management. Implement and support observability, monitoring, and alert
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are Cloud Infrastructure SREs that integrate, scale, and evolve multi-cloud infrastructure across 4 Cloud Service Providers, 70+ globally distributed regions, and tens of thousands of hosts to power Elastic Cloud. We tackle hard problems at scale through automation, Infrastructure as Code (IaC), configuration management, and purpose-built software that eliminates toil and improves reliability. We're also a team that grows people as well as systems. If that challenge genuinely excites you, we'd love to hear from you. What You Will Be Doing Engineering software to automate large-scale systems — building internal tools and services, not just running scripts. Optimizing the reliability and lifecycle of hosts across multiple cloud providers. Strengthening our observability posture — crafting alerting and monitoring systems that drive incident prevention over incident response. Scaling global infrastructure and evolving the infrastructure management processes to meet growing demand. Contributing to code reviews, sharing your work, planning what we need to do next, and both mentoring and being mentored by teammates. Being part of a balanced SRE on-call rotation: responding to incidents, improving runbooks, participating in postmortems, and championing reliability improvements. What You Bring Production experience operating larg
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Principal Software Engineer - Agentic Pipelines Building for AI-Enabled Data Engineers & Scientists Data pipelines are foundational infrastructure — when they're fast, correct, and maintainable, customers build on them with confidence. If you've spent the bulk of your career building large-scale data infrastructure — designing streaming or transformation primitives, reasoning hard about consistency and fault tolerance, and owning the systems that run under millions of customer workloads — this role might be for you. You'll be working on the pipeline layer at Snowflake: the constructs that define how customers move, shape, and maintain data. AI has a real presence in this work — in how customers use these pipelines and in how we think about building them — but the core job is hard data/pipeline infrastructure engineering, and that's what we're hiring for. About the Team We build the core data engineering primitives that power Snowflake's streaming and transformation capabilities. From the constructs customers use to define real-time pipelines to the execution fabric that makes those pipelines reliable and cost-efficient at cloud scale, our team owns the full stack of declarative data engineering. We're a small, high-ownership team operating close to the product — which m
Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. What you’ll do You will work across frontend, backend, cloud infrastructure, integrations, and robot-adjacent interfaces. You will partner closely with product, culinary, operations, robotics, firmware and mechanical teams to turn ambiguous operational problems into reliable software. As we scale up, this team will work closely with our product and robotics software teams to solve exciting problems around release and deployment, configuration, learning management, and refining the robot interface. Work with a team to both lead and provide feedback on new designs, triage issues, and analyze system performance. Responsibilities Take ownership of frontend and backend software for configuring, observing, and managing kitchen operations Collaborate with culinary and product teams to gather requirements and translate them into technical solutions Integrate with delivery service providers to receive orders, provide status updates, and synchronize menus Create and integrate with the on-robot control panel interfaces Work alongside firmware, mechanical, electrical, and robotics engineers to ensure cohesive system functionality Contribute to code reviews and architectural decisions What we are looking for Proficiency in Go or C++ for writing backend services, particularly REST-based Proficiency in Vue3 or Svelte (preferred) and TypeScript for writing frontend web applications Familiarity with documentation tools (for example wikis, markdown, docs) and writing design documents and playbooks Ability to work collabor
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 Senior Staff Software Engineer to set technical direction across Sentry’s Platform organization and lead engineering work spanning infrastructure, streaming, and storage. Reporting directly to the VP of Platform Engineering , you’ll partner with engineering and product leaders to identify where our platform needs to evolve, make architectural decisions across team boundaries, and lead those changes through production delivery. You’ll stay hands-on through system design, prototyping, and code while helping senior and staff engineers lead work across teams. What You’ll Do Set technical direction for platform initiatives spanning multiple teams, connecting architectural decisions to product needs and business priorities. Identify and lead changes addressing system bottlenecks, reliability risks, and architectural constraints. Own cross-team initiatives from problem definition and design through implementation, rollout, and evaluation. Make tradeoffs across reliability, performance, cost, operational complexity, and delivery speed. Stay hands-on where your contribution matters most, writing code, building prototypes, and helping teams resolve difficult implementation problems. Partner with engineering and product
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 Senior Staff Software Engineer to set technical direction across Sentry’s Platform organization and lead engineering work spanning infrastructure, streaming, and storage. Reporting directly to the VP of Platform Engineering , you’ll partner with engineering and product leaders to identify where our platform needs to evolve, make architectural decisions across team boundaries, and lead those changes through production delivery. You’ll stay hands-on through system design, prototyping, and code while helping senior and staff engineers lead work across teams. What You’ll Do Set technical direction for platform initiatives spanning multiple teams, connecting architectural decisions to product needs and business priorities. Identify and lead changes addressing system bottlenecks, reliability risks, and architectural constraints. Own cross-team initiatives from problem definition and design through implementation, rollout, and evaluation. Make tradeoffs across reliability, performance, cost, operational complexity, and delivery speed. Stay hands-on where your contribution matters most, writing code, building prototypes, and helping teams resolve difficult implementation problems. Partner with engineering and product
We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! About the Role We are seeking a seasoned Manager, Software Engineering with 12+ years of experience to lead our Database Engineering and Cloud Infrastructure team. In this role, you will lead a team of high-performing engineers responsible for architecting, scaling, and optimizing multi-cloud relational and in-memory database platforms. You will bridge technical execution, engineering leadership, and strategic infrastructure planning across AWS and Azure environments. Key Responsibilities Technical Leadership & Architecture Lead the architectural design and operations of enterprise-grade, multi-cloud relational databases across AWS (RDS PostgreSQL, MySQL, Aurora) and Azure (Database for PostgreSQL/MySQL, Azure SQL Managed Instance). Drive high-availability architecture strategies, including Multi-AZ deployments, auto-failover groups, read replica scaling, and cross-region disaster recovery (DR). Oversee zero-downtime operations, including major-version engine upgrades, schema migrations, and blue/green deployment strategies. In-Memory Infrastructure & Open-Source Strategy Manage scale operations for in-memory datastores (AWS ElastiCache, Azure Cache for Redis), focusing on cluster mode operations, eviction policies, and persistence tuning. Spearhead open-source caching initiatives and migration pathways from Redis to Valkey (e.g., AWS ElastiCache for Valkey) using zero-downtime tools like RedisShake to ensure open-source license compliance and optimize cloud spend. Aut
Get new cloud infrastructure engineer jobs by email
Daily job updates · Unsubscribe anytime