• Contribute to infrastructure automation across the AWS platform using Terraform Enterprise, Ansible, Harness, Kubernetes (including operators, CRDs, and cluster lifecycle management), and GitOps practices • Support and evolve continuous delivery pipelines, ensuring reliable and repeatable deployments across environments (PRE, SBX, PRD) • Build and maintain self-service capabilities so that developers and engineering teams can autonomously claim and consume infrastructure resources (storage, compute, databases, messaging) through Kubernetes-native APIs and GitOps workflows, without manual intervention • Leverage AIOps practices to improve platform reliability: intelligent alerting, anomaly detection, AI-assisted incident triage, and automated remediation • Write, maintain, and improve production runbooks to ensure operational procedures are automated, documented, and accessible to the team • Provide L2 support on automation systems and pipelines already in place, troubleshooting issues across the platform ecosystem • Participate in on-call rotations and contribute to incident response and post-mortem processes • Collaborate actively with Production Ops, DBA, and application engineering teams on platform improvements and migrations • Contribute to FinOps by identifying and implementing AWS cost optimization opportunities • Document architecture decisions, operational procedures, and contribute to team knowledge sharing • Own, automate and improve Kyriba's storage platform (NetApp, S3, EBS), ensuring reliability, performance, and DR readiness • Design and implement storage architectures on AWS with high availability and fault tolerance • Provide L2 support on storage incidents, leading investigations on performance degradation, availability issues, and data integrity events

• Implement data infrastructure solutions (self service) that support the needs of dozens of business units and hundreds of engineers • Utilize Infrastructure as Code (IaC) principles to design, provision, and manage both on-premises and cloud (AWS) infrastructure components using tools such as Terraform • Develop and maintain automation scripts using bash/shell scripting and to automate operational tasks and deployments. • Enhance and manage CI/CD pipelines to facilitate consistent software deployments across the data infrastructure. • Implement robust data monitoring and alerting solutions to proactively detect anomalies and performance issues. • Manage and implement role-based access control (RBAC) and permissions for a multitude of user groups and machine workflows across different environments • Utilize Kubernetes and Nomad to manage containerized applications within the data infrastructure, ensuring efficient deployment, scaling, and orchestration. • Implement effective incident response procedures and participate in on-call rotations. • Collaborate with data analysts, engineers, and cross-functional teams to understand requirements and implement appropriate solutions. • Document architecture, processes, and best practices to enable knowledge sharing and support continuous improvement.

• Work with Cloud technologies, including VPC, Route53, IAM, S3, Lambda, API Gateway, CloudFormation, ALB, VPCs, CloudWatch, ECS and EKS, and auto-scaling • Utilize Infrastructure as Code (IaC) technologies, including AWS CloudFormation and Terraform • Manage container technologies, including Kubernetes and Docker • Perform metrics gathering and health monitoring of applications and systems using AWS CloudWatch and Elasticsearch • Develop automation workflows and scripts for integrating multiple IT systems, using Python and PowerShell • Administrate corporate applications, including GitHub, Okta, Jira, Confluence, Slack, Netskope, Active Directory, and SCCM

• Utilize infrastructure as code (IaC) tools, such as Terraform and Ansible, to automate the provisioning of cloud resources and integrate Crossplane to extend IaC capabilities across multiple cloud providers. • Deploy and manage Kubernetes clusters to ensure scalability, performance, and reliability. • Develop, maintain, and optimize Continuous Integration and Continuous Deployment/Delivery (CI/CD) pipelines for automated testing and build and deploy applications within Kubernetes environments, incorporating package management tools to handle application dependencies. • Deploy and manage Crossplane in Kubernetes clusters to unify and automate multi-cloud infrastructure provisioning and management. • Design and implement the least privileged access policies to ensure that users and services have only the necessary permissions. • Review and update Identity and Access Management (IAM) policies and roles to adapt to changing project requirements and security best practices. • Configure Amazon Web Services (AWS) GuardDuty, AWS Web Application Firewall (WAF), and AWS Shield Advanced at scale for comprehensive cloud security management and threat mitigation. • Set up and build IAC modules to produce AWS accounts based on approved blueprints, ensuring standardized infrastructure compliance and security protocols. • Work with Python; Rest APIs; AWS; GCP; Capella; Enterprise Redis; Mongo; Cloudformation; Terraform and Ansible; Docker and Kubernetes; DevOps; CI/CD; GitOps and Agile methodologies; deployment and infrastructure orchestration frameworks; CI/CD pipelines; Github; AWS Code Suite; GCP Cloud Build; deploying and running code; and, using Docker and Kubernetes.