• Consultative Ownership: Work with autonomy to own problems and deliver solutions, acting as a bridge between development and operations. • Observability Architecture: Design and implement robust monitoring solutions using the LGTM stack to ensure system health and performance. • Reliability Strategy: Advise clients on defining meaningful SLOs/SLIs and managing error budgets to balance innovation with stability. • AI Assistance: Drive use of AI Agents or AI tools for intelligent automation and improving operational efficiency. • Incident Leadership: Lead post-incident reviews (Blameless Post-Mortems) to identify systemic improvements and reduce future toil. • Mentorship: Coach less experienced engineers within Fabric and our client teams on SRE principles and modern infrastructure patterns. • Advising our clients on the right technical decisions and advocating for the right practices to use. • Participate in interviewing and recruitment based on business needs. • Thought Leadership: Contribute to the SRE community through blog posts, meetups, or internal knowledge sharing. • Operational Support & Availability: Rotational Support Coverage: Participate in a sustainable team rotation to provide extended service coverage (including weekends) for business-critical systems. • Incident Response: Act as a primary responder for high-priority (P1/P2) incidents during your rostered shift, focusing on rapid restoration and clear stakeholder communication.

• Design, build, and operate secure GCP cloud foundations and landing zones for federal and regulated environments, including organization hierarchy, policy guardrails, Assured Workloads, and Cloud Foundation Toolkit-based deployment patterns. • Engineer and maintain secure GCP network architectures, including Shared VPC, hub-and-spoke topology, VPC Service Controls, Access Context Manager, Private Google Access, Private Service Connect, Cloud NGFW, Cloud Armor, load balancing, DNS, NAT, VPN, and Interconnect under least-exposure principles. • Implement and administer identity, access, privileged access, and encryption controls, including least-privilege IAM, custom roles, IAM Conditions, deny policies, service-account hygiene, Workload Identity Federation, Privileged Access Manager, Access Approval, Access Transparency, BeyondCorp Enterprise, IAP, Cloud KMS, Cloud HSM, CMEK, and Cloud EKM. • Develop and operate security monitoring, threat detection, and response capabilities using Chronicle/Google Security Operations, Security Command Center, curated detections, YARA-L, threat intelligence, SOAR playbooks, telemetry pipelines, and integration with MDR/SOC workflows. • Build and maintain logging, audit, observability, and reliability capabilities using Cloud Audit Logs, aggregated log sinks, retention policies, BigQuery/Chronicle exports, Cloud Monitoring, Cloud Logging, dashboards, uptime checks, SLIs/SLOs, alerting, on-call operations, incident response, and blameless postmortems. • Secure and operate cloud workloads and platforms, including Sensitive Data Protection/Cloud DLP for CUI discovery and de-identification, hardened GKE environments, Workload Identity, Shielded/Confidential nodes, network policy, GKE Policy Controller, Binary Authorization, and secure Artifact Registry image promotion. • Automate infrastructure, security, compliance, and reliability operations using Terraform, Infrastructure Manager, Cloud Foundation Toolkit, policy-as-code, secure CI/CD pipelines, Cloud Build, Cloud Deploy, and scripting in Python, Go, or Bash to reduce manual work and operational toil. • Translate federal security and compliance requirements into GCP configurations and audit-ready evidence, including NIST SP 800-53, NIST SP 800-171, FedRAMP, CMMC, control inheritance, customer responsibility matrices, RMF/FedRAMP authorization support, and assessor/AO documentation. • Partner directly with customers and internal stakeholders to communicate technical requirements, operational risks, compliance expectations, and implementation status to both technical and non-technical audiences.

• Join Sedona Digital, a fast-growing scale-up organization with an ambition to be recognized as one of the leading technology companies servicing high tech, global enterprises across Technology, Finance, and Life Sciences sectors. • You will join a team working with cutting-edge technologies and striving to utilise cloud services to the maximum. • Your role will be to provide the necessary infrastructure using Terraform, develop CI/CD pipelines in GitLab or Jenkins, and create automations to support the development teams. • Additionally, you will ensure that the underlying infrastructure runs smoothly, and the systems and tools work as expected. • You'll be responsible for helping developers with troubleshooting and providing consultation in case of alerts. • As a senior engineer, you will also take ownership of specific domains or projects within the business, leading technical direction and ensuring alignment with strategic goals. • You will play a key role in mentoring and overseeing other engineers, fostering collaboration, sharing best practices, and helping to drive continuous improvement across the team. • Your activities will include collaborating with the development teams to plan, deploy and administer applications running on AWS and Kubernetes, initiating and driving the adoption of technologies, mentoring other engineers, overseeing engineering processes, implementing and overseeing cloud migration projects, and ensuring compliance with company standards and best practices.

• Automation of Build-to-Production - Design and implement robust CI/CD pipelines tailored for AI • Develop specialized workflows for PromptOps • Automate the deployment of Agentic workflows • Provision and manage high-performance compute environments (GPU clusters, TPU pods) • Define and enforce Policy-as-Code for AI endpoints • Maintain a consistent environment across Hybrid Infrastructure • Architect Progressive Delivery strategies for AI • Build 'Evaluation-in-the-Loop' gates within the pipeline • Establish deep observability into Inference Endpoints