• Own the reliability and stability of production data pipelines and data platform services • Diagnose and resolve data pipeline failures, delays, and data quality issues in production environments • Investigate issues across distributed data systems (e.g., Spark/EMR workloads, ingestion pipelines, warehouse performance) • Lead or support incident response, including triage, mitigation, and long-term resolution • Perform root cause analysis (RCA) and implement durable fixes to prevent recurrence • Define and improve data SLAs (freshness, latency, completeness) and ensure adherence • Design and enhance monitoring, alerting, and observability for data systems • Develop automation and tooling to reduce operational toil and improve system resilience • Contribute to disaster recovery (DR) and resiliency planning, including backup validation and recovery workflows • Partner with engineering teams to improve pipeline design, reliability, and operational readiness • Create and maintain runbooks, SOPs, and operational documentation • Participate in occasional off-hours support for production data systems when required

• Build and maintain CI/CD across GitHub Actions, container registries, and the deployment pipelines the application teams rely on • Run and improve Kubernetes across multiple environments and regions, managing releases with Helm and Flux • Develop reusable Terraform and Ansible modules so infrastructure stays consistent, version-controlled, and easy for teams to adopt • Expand the self-service platform capabilities that let application teams provision, deploy, and monitor their own services within sensible guardrails • Strengthen observability and reliability with DataDog, and help define the SLOs, alerting, and on-call practices that keep services healthy • Support the ongoing migration to Azure, from architecture decisions through to rollout • Work closely with cloud service providers, Azure in particular, managing the relationship, capacity, and cost so the platform stays well-supported and the teams building on it get what they need • Integrate as a full member of the client's DevOps, infrastructure, and core engineering teams rather than an outside contributor • Take part in strategic and architectural discussions, and advocate for changes that improve how the wider engineering org builds and ships

Role Description We're looking for an experienced DevOps engineer to join Space Inch and take up work with the Core team of one of our long-standing clients, a leading investment and asset management firm in the US. You'll work alongside Space Inch teammates and the client's own engineers, who together make up a large part of five combined teams spanning infrastructure, SRE, and various application teams that build on top of them. The work sits at the intersection of DevOps, SRE, and platform engineering. Beyond keeping pipelines and clusters healthy, a big part of the job is treating the underlying infrastructure as a product: - Building self-service tooling, reusable modules, and paved paths that let the application teams ship safely. - Much of this work is greenfield, allowing for real scope to shape how the platform looks for years to come. If you like owning infrastructure that other engineers depend on, and want a seat in the architectural conversations that decide where it goes, we'd love to hear from you. Qualifications - Expertise in GitHub CI/CD, container registries, and upstream/downstream systems. - Kubernetes across multiple environments and regions, including Helm and Flux (or Argo). - Azure (Azure Cloud, DevOps, Artifacts, Container Registry) or a comparable Cloud Provider. - Terraform and Ansible. Requirements - Experience with AI agents. - Linux. - Python or Bash. - Docker. - DataDog. - Managing databases (PostgreSQL, MongoDB, Redis). Key Responsibilities - Build and maintain CI/CD across GitHub Actions, container registries, and the deployment pipelines the application teams rely on. - Run and improve Kubernetes across multiple environments and regions, managing releases with Helm and Flux. - Develop reusable Terraform and Ansible modules so infrastructure stays consistent, version-controlled, and easy for teams to adopt. - Expand the self-service platform capabilities that let application teams provision, deploy, and monitor their own services within sensible guardrails. - Strengthen observability and reliability with DataDog, and help define the SLOs, alerting, and on-call practices that keep services healthy. - Support the ongoing migration to Azure, from architecture decisions through to rollout. - Work closely with cloud service providers, Azure in particular, managing the relationship, capacity, and cost. - Integrate as a full member of the client's DevOps, infrastructure, and core engineering teams. - Take part in strategic and architectural discussions, and advocate for changes that improve how the wider engineering org builds and ships. Qualities for Success - A strong grasp of building reliable Kubernetes pipelines and platforms. - Creativity in problem-solving and in architecting complex migration work. - Excellent communication, both for collaborating internally and for advocating change to the teams using your infrastructure. - An ownership mentality: you take charge of tasks and have autonomy over how you implement them. This Role is Right for You If - You enjoy deciding for yourself how to approach a problem. - You appreciate work that rewards strategic thinking and a deep understanding of the whole system. - You like collaborating across teams and making a visible difference to how they deploy. This Role is Not Right for You If - You prefer purely operational work that follows a fixed runbook with little room to change it. - You're uncomfortable taking initiative or proposing new ideas. - You avoid cross-team collaboration. What's In It for You - A real say in key architectural decisions, not just their implementation. - Work inside a top investment firm on problems that will make you a stronger engineer and leader. - Room to grow with the DevOps, infrastructure, and core engineering team, which opens up further leadership and deeper technical opportunities. Compensation - Real Impact: Real influence on technical decisions, tooling choices, and project direction. - Compensation: $4,500.00 – $6,800.00/monthly for B2B engagement, based on experience and skills. - Remote-first setup. - Health & Well-being: 100% paid sick leave + annual health checkup. - Stay Active: Wellness subsidy. - Continuous Growth: An education budget specifically designed to fuel your learning. - Extra perks: Referral bonus.

• Lead the SRE team both technically and managerially, promoting engineers' technical and career development; • Define and evolve the reliability, observability, and operational excellence strategy for the products; • Act as the primary technical authority in critical incidents, coordinating responses and root cause analyses; • Collaborate with Architecture, Development, Security, and Product teams on platform evolution; • Lead operational rituals, incident reviews, capacity planning, and risk management; • Foster a culture of automation and continuous improvement; • Ensure adoption of SRE, DevOps, and Platform Engineering best practices; • Support prioritization of technical debt and reliability initiatives with business areas.