Role Description
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Lead root-cause analysis (RCA) for P1/P2 incidents on assigned cloud infrastructure (compute, storage, networking, identity) across AWS and Azure
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Build and maintain infrastructure-as-code modules (Terraform preferred) and CI/CD pipeline components, extending established patterns and standards
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Own disaster recovery (DR) testing and backup validation for assigned systems
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Support reliability and performance for assigned systems: advanced monitoring, alert response, and on-call rotation
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Drive incident response and technical troubleshooting, documenting findings and leading post-incident reviews and evidence generation
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Apply and help enforce cloud security best practices (IAM/RBAC, least privilege, network segmentation, encryption) in partnership with security teams
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Lead evaluation and proof-of-concept testing of new tools and services
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Support application and platform teams with migrations, service onboarding, and scaling requests, taking a more active design role than junior engineers
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Drive cost optimization (FinOps) efforts on owned components, including rightsizing, waste identification, and cost-anomaly follow-up
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Mentor Cloud Infrastructure Engineer I/II staff on troubleshooting, IaC practices, and runbook execution
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Maintain and improve runbooks and documentation for owned systems, including audit-ready evidence for GxP-relevant workloads
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Ensure adherence to approved reference architectures, security baselines, and tagging conventions for all provisioned resources
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Contribute to architecture alignment discussions and escalate structural or design-level concerns to the Cloud Ops Lead
Qualifications
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4-7 years of experience in cloud infrastructure, DevOps, or site reliability engineering roles
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Working experience with both AWS and Azure
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Strong experience with infrastructure-as-code (Terraform preferred)
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Proficiency in at least one scripting/programming language (Python, Go, or similar) for automation tasks
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Solid understanding of networking fundamentals (VPCs/VNets, DNS, load balancing) and cloud security principles
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Experience with containerization (Docker) and orchestration (Kubernetes)
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Experience with monitoring and observability tooling (Datadog, Prometheus/Grafana, CloudWatch, or similar)
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Experience leading RCA and incident response for production systems
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Clear written communication skills; able to document work, lead runbook development, and drive established change control processes
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Ability to work independently on complex tasks while mentoring junior team members
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Willingness and ability to relocate per the assignment schedule (India for 3 months, then Ireland for 9 months), including any associated visa/work authorization requirements
Preferred Qualifications
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AWS Certified Solutions Architect β Professional, Microsoft Certified: Azure Administrator Associate, or equivalent
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Terraform Associate certification
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Certified Kubernetes Administrator (CKA)
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Experience in a nonprofit, foundation, or highly regulated (GxP, HIPAA) environment with data governance and audit-readiness requirements
Success Criteria
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Assigned components consistently meet or exceed defined SLAs/SLOs for uptime and performance
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Independently resolves complex incidents and drives RCA with minimal senior review
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Mentorship of junior engineers is evident in their growing independence
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Contributes to cost optimization and DR readiness targets
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Maintains audit-ready documentation and evidence for owned systems throughout the India-to-Ireland transition
Salary Range
70,800.00 - 88,500.00 EUR (Annual)
Please note that the salary information provided herein is base pay only (gross); it does not include other forms of compensation which may or may not apply to this specific position, namely, performance-based bonuses, benefits-related payments, or other general incentives - none of which are guaranteed, may be subject to specific eligibility requirements, and are wholly within the discretion of Astreya to remit.
Further, the salary information noted above is a range that consists of a minimum and maximum rate of pay for this specific position. Where an applicant or employee is placed on this range will depend and be contingent on objective, documented work-related considerations like education, experience, certifications, licenses, preferred qualifications, among other factors.