Key Responsibilities

• Lead root-cause analysis (RCA) for P1/P2 incidents on assigned cloud infrastructure (compute, storage, networking, identity) across AWS and Azure
• Build and maintain infrastructure-as-code modules (Terraform preferred) and CI/CD pipeline components, extending established patterns and standards
• Own disaster recovery (DR) testing and backup validation for assigned systems
• Support reliability and performance for assigned systems: advanced monitoring, alert response, and on-call rotation
• Drive incident response and technical troubleshooting, documenting findings and leading post-incident reviews and evidence generation
• Apply and help enforce cloud security best practices (IAM/RBAC, least privilege, network segmentation, encryption) in partnership with security teams
• Lead evaluation and proof-of-concept testing of new tools and services
• Support application and platform teams with migrations, service onboarding, and scaling requests, taking a more active design role than junior engineers
• Drive cost optimization (FinOps) efforts on owned components, including rightsizing, waste identification, and cost-anomaly follow-up
• Mentor Cloud Infrastructure Engineer I/II staff on troubleshooting, IaC practices, and runbook execution
• Maintain and improve runbooks and documentation for owned systems, including audit-ready evidence for GxP-relevant workloads
• Ensure adherence to approved reference architectures, security baselines, and tagging conventions for all provisioned resources
• Contribute to architecture alignment discussions and escalate structural or design-level concerns to the Cloud Ops Lead

Required Qualifications

• 4-7 years of experience in cloud infrastructure, DevOps, or site reliability engineering roles
• Working experience with both AWS and Azure
• Strong experience with infrastructure-as-code (Terraform preferred)
• Proficiency in at least one scripting/programming language (Python, Go, or similar) for automation tasks
• Solid understanding of networking fundamentals (VPCs/VNets, DNS, load balancing) and cloud security principles
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Experience with monitoring and observability tooling (Datadog, Prometheus/Grafana, CloudWatch, or similar)
• Experience leading RCA and incident response for production systems
• Clear written communication skills; able to document work, lead runbook development, and drive established change control processes
• Ability to work independently on complex tasks while mentoring junior team members
• 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

• AWS Certified Solutions Architect – Professional, Microsoft Certified: Azure Administrator Associate, or equivalent
• Terraform Associate certification
• Certified Kubernetes Administrator (CKA)
• Experience in a nonprofit, foundation, or highly regulated (GxP, HIPAA) environment with data governance and audit-readiness requirements

Success Criteria

Assigned components consistently meet or exceed defined SLAs/SLOs for uptime and performance. Independently resolves complex incidents and drives RCA with minimal senior review. Mentorship of junior engineers is evident in their growing independence. Contributes to cost optimization and DR readiness targets. Maintains audit-ready documentation and evidence for owned systems throughout the India-to-Ireland transition.

Salary Range

• 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.