Role Description The DevOps / SRE Engineer owns the operational substrate of an AI-native retail decisioning platform — infrastructure, CI / CD, observability, cost meter, and incident response for a system that runs production agents taking real business actions. The role builds on the enterprise Terraform standard, CI / CD spine, and FinOps tagging policy rather than reinventing parallel infrastructure. Remote candidates outside of Thailand are welcome to apply. - Adopt the enterprise Terraform standard and module library for all platform infrastructure; author platform-specific modules where needed (agent runtime, vector DB, knowledge graph); run drift detection weekly. - Build platform-specific CI / CD pipelines on the enterprise spine — service deploys, agent deploys, eval-gate enforcement; integrate eval gates so no agent reaches production without eval pass. - Operate rollback orchestration with sub-15-minute recovery; quarterly game days. - Own the platform observability stack — OpenTelemetry, Langfuse for LLM traces, custom dashboards for per-agent cost. - Implement the per-agent cost meter end-to-end — token counts, vector queries, model inference, downstream LLM Gateway costs; surface cost data to the enterprise GenAI cost dashboard. - Stand up the platform on-call rotation; author runbooks for every production agent and service; lead incident response with measurable corrective actions. - Implement platform cost-tagging policy consistent with the enterprise standard (team, domain, environment, project, agent, suite, persona); report monthly to Cost Review. - Drive cost optimisation — right-sizing, caching, model routing decisions, reserved compute. Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline. - 5+ years SRE / DevOps with production ownership. - Terraform at scale — modules, state, drift, environment promotion. - CI / CD for data + ML / AI services (GitLab CI / CD or comparable). - Cloud platform (Azure preferred; AWS / GCP transferable). - Observability — OpenTelemetry, Langfuse (or comparable LLM traces), custom dashboards. - FinOps — tagging policies, attribution, optimisation. - Incident response — on-call, post-mortems, runbook authorship. Preferred Qualifications - AI / agent platform SRE experience; cost-meter / chargeback systems built or operated. - Multi-cloud production experience; open-source contributions to IaC / observability tooling. - AI / ML / agent system observability instrumentation (LLM cost, agent cost, eval scores). - Vendor certifications such as HashiCorp Terraform Associate / Professional, Azure Solutions Architect Associate, or Databricks Data Engineer Professional.

• Design, build, and operate production‑grade Kubernetes clusters on bare metal and cloud • Industrialize, automate, improve observability & monitoring • Continue to create a culture of service delivery excellence • Participate in on‑call rotation, incident management, and post‑incident reviews • Design and drive projects around DevSecOps practices in the company

The best way to look at this role is you would have the main responsibility to own our Linux systems and the responsibility for deployment and the support of team that will handle the maintenance and monitoring of applications on them. This will include custom and other more standard open source and proprietary applications. Our favorite candidate will be able to support at least basic needs for Window DevOps and more. **RESPONSIBILITIES:** - Plan/Design, Build and define the monitoring of our Linux and Windows applications and the systems that run them. - Implement client-requested integrations. - Design/Plan and support team in deploying updates and fixes - Conduct root cause analysis if issues - Investigate and resolve technical issues and create/provide resources to team to prevent. - Develop scripts to automate processes and updates - Provide technical support and design procedures for system troubleshooting and maintenance.

Role Description As a Senior Service Reliability Engineer (SRE) you will take a multifaceted approach to ensure technical excellence and operational efficiency within the infrastructure domain. Specializing in reliability, resilience and system performance, you take a lead role in championing the principles of Site Reliability Engineering. By strategically integrating automation, monitoring and incident response, you facilitate the evolution from traditional operations to a more customer-focused and agile approach. Emphasizing shared responsibility and a commitment to continuous improvement, you cultivate a collaborative culture, enabling organizations to meet and exceed their reliability and business objectives. - You will improve site reliability by building mechanisms/architectures that enable fault tolerance and faster median time to respond and median time to detect. - You will drive the integration of observability automation into the CI/CD pipeline. - You will handle production incidents, manage incident communication with clients and draft root cause analysis documents. - You will monitor performance of production systems and improve their scaling to ensure business goals are met within expected SLA and SLO metrics. - You will work closely with application development teams as advisors on improving system reliability and assisting in implementation for reliability improvements. - You will improve system observability across multiple facets such as logging and metrics, reducing false alarms to eliminate unnecessary toil and improving process efficiency. - You will implement chaos engineering practices as necessary to test system reliability, setting up processes for such testing to be done regularly. - You have a clear understanding of client goals and business needs and setting direction for site reliability in line with the same, e.g.: Achieving application availability with minimum/no disruption (99.999%) if necessary for business. Qualifications - You have hands-on experience in programming and scripting languages such as Python, Go or Bash. - You have a good understanding of at least one Public Cloud, e.g.: AWS, Azure or GCP. - You have had exposure to observability tools such as Grafana, Datadog, NewRelic, ELK Stack, Dynatrace or equivalent and you are proficient in using data from these tools to dissect and identify root causes of system and infrastructure issues. - You are familiar with DevOps and GitOps practices. - You have a good knowledge of container-based architecture and orchestration tools such as Kubernetes, AWS EKS, Docker Swarm, Nomad, etc. - You understand technical architecture and modern design patterns, including microservices, serverless functions, NoSQL and RESTful APIs, with experience in fixing bugs, analyzing logs, building metrics and operational dashboards. - You are familiar with creating infrastructure resources for improving reliability of system that follows Cloud’s Well Architected Framework principles: Reliability, security, cost optimization, performance efficiency and operational. Requirements - You have strong communication and articulation skills, and are proficient in English. - You have good people skills with an emphasis on negotiation and close collaboration with multiple cross-functional teams from the client side and/or Thoughtworks. - You solve challenging problems and difficult to debug issues with a never give up attitude. - You have the ability to work under pressure and with composure during production incidents. - You can confidently recommend improvements backed by strong technical arguments to client stakeholders or application development teams. - You are able to understand requirements provided by the client on both technical and business aspects and break them down for successful implementation. - You have a strong drive and ownership mentality, with a willingness to sign up for and deliver work when called upon, without being too concerned about role boundaries. - You’re willing to be part of a rotation- and need-based 24x7 available team. Benefits - There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. - Your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. - We see value in helping each other be our best and that extends to empowering our employees in their career journeys.