• Own and drive end-to-end operational delivery for cloud-native data platform environments (AWS, Azure) across multiple managed services clients — including environment configuration, infrastructure automation, and platform reliability. • Translate business and technical requirements into resilient, cost-effective platform solutions aligned with phData methodologies, architecture standards, and best practices. • Build, deploy, and maintain infrastructure-as-code configurations and CI/CD pipelines that support repeatable, governed platform delivery. • Monitor and support production data jobs and pipelines (ETL/ELT), ensuring timely resolution of failures and minimizing business impact as you develop depth in data platform patterns. • Ensure engagements are delivered on time, within scope, and with measurable business value for clients. • Collaborate with Solutions Architects, data engineering teams, analytics teams, and client stakeholders to deliver successful, well-integrated client engagements. • Provide technical leadership during troubleshooting sessions, infrastructure reviews, and platform deployments, particularly across cloud services on AWS and Azure. • Ensure high quality in deliverables through clear documentation, deployment guides, runbooks, and adherence to governance and change management processes. • Partner with practice and account leaders to improve operational maturity, standardize delivery patterns, and enhance client satisfaction across a large user base. • Contribute to internal initiatives such as building and enhancing IaC templates, automation scripts, CI/CD frameworks, and operational playbooks for Elastic Platform Operations. • Mentor peers by sharing best practices in cloud engineering, leading knowledge-sharing sessions, and helping up-skill team members on new tools and technologies. • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders. • Act as a trusted advisor to senior client stakeholders on cloud platform reliability, infrastructure strategy, and performance optimization. • Lead complex infrastructure and platform delivery efforts, coordinating across multiple teams and driving long-term improvements. • Mentor and coach junior engineers, fostering a culture of learning, feedback, and continuous improvement. • Help define and refine Elastic Operations standards, reusable IaC assets, and delivery frameworks for managed services.

• Design, plan, and coordinate the implementation of network technologies in support of business and growth requirements. • Validate project requirements, define project scope, develop project schedules, and produce detailed network designs for assigned projects. • Produce work breakdown structures (WBS) that demonstrate understanding of proposed changes and how they will be implemented with minimal service impact. • Perform analysis and diagnosis of highly complex networking problems; build simulated networks in test labs to resolve significant issues and compatibility challenges. • Plan and drive complex network upgrade and migration activity, including highly automated environments and quarterly maintenance events. • Prepare and maintain up-to-date documentation detailing the configuration of deployed solutions; generate network configurations and run books. • Provide mentorship and technical leadership to existing network team members and partner teams during outages and downtimes. • Collaborate with vendors to manage circuit delivery, problem resolution, and network migrations.

Role Description This role exists to ensure the Hyperstack platform — including Hyperstack GPU Cloud, AI Studio and the Investor Portal — is kept running, automated and observable as it scales. As the DevOps team acts as a bridge across every function in the business, we need a capable engineer who can own automation, incident response, observability and internal tooling without waiting to be directed. This is a role for someone who builds first and documents second — someone who finds a manual process and replaces it, who picks up a production incident and drives it to resolution, and who enjoys the visibility that comes from working across an entire business. What You'll Be Doing - Own core DevOps engineering tasks across the Hyperstack platform: automation, incident response, release pipeline support and internal tooling. - Maintain and improve observability tooling (Prometheus, Grafana and the broader monitoring stack) to ensure platform health and early incident detection. - Support Kubernetes operations across two contexts: as a managed product sold to customers, and as the underlying infrastructure powering NexGen Cloud’s own platform. - Act as a first responder for platform incidents alongside the CX team — triaging issues, reviewing code, and confirming whether problems are bugs or expected behaviour. - Build and improve internal tools consumed by other teams including Revenue Ops, Finance, Engineering and CX. - Identify and eliminate manual workload through automation and self-service tooling as the business continues to scale. - Collaborate across a globally distributed, remote-first team and communicate clearly with non-technical stakeholders. Qualifications - Hands-on Kubernetes experience in production — both managed/hosted K8s as a product and self-managed clusters. - Active experience with Prometheus, Grafana and related observability tooling; able to maintain and improve monitoring of a live platform. - Strong automation and scripting skills — able to build or improve tooling that reduces manual workload across multiple teams. - Proven incident response experience in live environments; comfortable being a first responder alongside non-technical colleagues. - Cross-functional mindset — comfortable building tools and processes that serve Engineering, CX, Revenue Ops and Finance without being siloed. Nice to Have - Experience in a SaaS, cloud infrastructure or GPU/AI compute environment. - Familiarity with GitOps workflows and release pipeline tooling. - Exposure to OpenStack-based infrastructure or GPU cloud environments. - Experience working in a distributed, remote-first team across multiple time zones. Benefits - Competitive salary and annual discretionary bonus scheme. - Employee wellbeing benefits. - 25 days of holiday, plus public holidays. - Fully remote working — no office requirement, no geographic constraint. - Real ownership and autonomy, with the trust to take initiative and experiment. - Broad scope — this role touches every team in the business, giving you exposure well beyond a typical DevOps position. - Greenfield opportunities to improve tooling, automation and observability — not just maintenance. - Clear career progression and growth opportunities in a fast-growing company. - A collaborative, international culture built on trust, transparency and ownership. - The chance to work on a cutting-edge GPU cloud platform used for real AI, ML and HPC workloads — where Kubernetes is central to how the product is built and sold.

Role Description We are looking for an Engineer to join our DevOps team in Argentina. DevOps is responsible for the R&D platforms, which are based on containers and microservices. Your main focus will be improving the production infrastructure and building the next-level build process, automation methodologies, and tools while working closely with the R&D team. - Take our CI/CD to the next level - Develop and debug on top of the Kubernetes infrastructure - Improve our cloud-native Terraform modules - Research new technologies and provide overall technical direction for the team - Plan and push to close the automation backlog - Communicate with teams across the organization on testing strategy and design - Propose improvements to the testing process to decrease defects found in production - Work closely with R&D teams in an Agile environment - Own SRE responsibilities for our AWS and GCP environments, including ensuring the availability, scalability, and reliability of production services - Manage and evolve infrastructure as code using env0 for Terraform workflows - Design and implement monitoring, metrics, and dashboards using Datadog to ensure observability and proactive incident management Qualifications - 5-7 years of experience as a DevOps Engineer - Must have hands-on experience in Kubernetes (EKS) and Docker - Experience in Python/Bash/Groovy - Solid grasp of software development life cycle, best practices, and methods across multiple teams: Agile development, DevOps, CI/CD, Kubernetes, team leadership, and mainly test automation - Experience with at least one of Jenkins, GitLab CI, or GitHub Actions - Experience with Jira, Confluence, Git, AWS, Dockers, relational and non-relational DBs - Experience working with AWS and GCP cloud platforms in a production environment - Hands-on experience with Terraform (preferably managed via env0 or similar tooling) - Experience with Datadog for building monitoring solutions, metrics, and dashboards - Excellent communication skills are required for documenting and connecting with other groups - Ability to explore and initiate new ideas, think, and learn independently Advantages - Experience in REST API automation and testing methodologies Our Values - Care - We care about our customers and each other - Do - We do what it takes to make a positive impact - Try - We try our best and we don’t give up - Shine - We shine and make it our mission to always stand out