• Support the operation and maintenance of AWS infrastructure, ensuring application and database availability • Assist in building and maintaining environments using AWS Lambda, containers, and Kubernetes • Contribute to the reliability and performance of the platform's services • Support the implementation of observability practices (metrics, logs, and traces) • Assist in using tools such as CloudWatch, Grafana, Prometheus, and Datadog • Develop scripts and small automations to reduce manual tasks (toil) • Support the implementation of Infrastructure as Code (IaC) using Terraform • Assist with troubleshooting infrastructure, application, and network incidents • Follow deployment, runtime, and operational standards defined by the team • Participate in incident response, postmortems, and continuous improvement initiatives

• Lead and coordinate a distributed DevOps Tooling team on a daily basis • Own backlog management, priority setting, and capacity planning • Drive sprint planning, execution, and delivery consistency • Act as the main escalation point for technical and delivery issues • Review CI/CD pipeline architecture and guide technical decisions • Support and unblock engineers, ensuring smooth delivery flow • Mentor team members and support their professional development • Communicate effectively with stakeholders, including: Status updates; Risks and issues; Delivery metrics • Collaborate with client-side program managers and product owners • Ensure alignment with enterprise processes, including compliance and governance

• Perform hands-on technical inventory of tools across environments • Conduct integration mapping (GitHub, Jira, qTest, CI/CD dependencies) • Support identity and access architecture (AD/Entra, SSO, user provisioning) • Assess migration complexity and contribute to risk register and SOW inputs • Support migration and consolidation of tools including Jira, Confluence, GitHub Enterprise, qTest, Informatica, NeoLoad, and BrowserStack • Configure and validate integrations, CI/CD workflows, and automation setups • Support bulk user provisioning and per-tool entitlements • Prepare technical documentation (inventory, migration runbooks, decommission artifacts) • Support hypercare activities and system stabilization post-migration

Role Description We are seeking a highly skilled Senior Site Reliability Engineer (SRE) to join our team and drive reliability, scalability, and efficiency across our production systems. The ideal candidate will have deep expertise in cloud infrastructure, Kubernetes administration, observability, and incident management, with a proven track record of building and maintaining highly available and resilient platforms. As a senior member of the SRE team, you will not only operate complex distributed systems but also influence architecture, tooling, and best practices to ensure operational excellence. - Administer and maintain container orchestration platforms and containerized workloads. - Monitor and troubleshoot production systems, participating in on-call rotations to ensure reliability. - Drive observability improvements by enhancing monitoring, logging, and alerting capabilities across systems and data platforms. - Administer and optimize cloud-based environments across multiple providers. - Manage and support distributed data platforms and real-time processing systems. - Develop and maintain continuous integration and delivery pipelines for efficient and reliable deployments. - Own and implement Infrastructure as Code (IaC) practices to ensure consistency and scalability. - Automate and orchestrate infrastructure using programming and scripting languages. - Perform system administration and networking tasks to support internal and external environments. - Collaborate effectively with engineers and stakeholders across different time zones. Qualifications - 5+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering roles. - Proven success leading large-scale production systems in cloud environments (AWS, GCP, Azure, or OCI). - Demonstrated leadership in driving incident response, on-call best practices, and reliability-focused culture. - Strong experience with production on-call operations and incident management. - Advanced proficiency in Kubernetes administration and troubleshooting. - Hands-on experience with observability tools: Prometheus, Grafana, Loki, and Alertmanager. - Knowledge in chat-based operations interfaces and/or auto-remediation controllers using AI agentic framework. - Understanding of AI agents for auto-triaging alerts, correlate signals and suggest/root-cause hypotheses. - Expertise in operating data platforms (Elasticsearch, MongoDB, Spark, Kafka, Redis). - Proficiency with public cloud services (AWS, Azure, GCP, or OCI). - Strong programming and automation skills in Python and Bash. - Deep understanding of Infrastructure as Code (Terraform, Helm). - Experience with CI/CD pipelines (GitHub Actions, Bitbucket, ArgoCD). - Strong technical background in distributed systems, databases, networking, and Linux administration. - Excellent problem-solving, communication, and leadership abilities. - Bachelor's degree in Computer Science, Engineering, or a related technical field. - Certifications in AWS, GCP, Observability, Linux or Kubernetes are a plus.