Role Description As Senior Platform Engineer, you will design, develop, and optimize the platform infrastructure that enables high-scale software delivery. Your primary focus will be on enhancing the Developer Experience by creating and improving tools, systems, and processes. You will collaborate closely with teams, providing technical guidance and fostering best practices in automation, security, and scalability. As a senior engineer, you will take ownership of critical platform components and contribute significantly to strategic decisions, ensuring alignment with both business and technical objectives. Responsibilities - Lead the design, implementation, and management of scalable and secure platform infrastructure. - Architect and maintain CI/CD pipelines, ensuring automation and fast feedback loops. - Ensure the platform meets high availability, reliability, and performance standards. - Troubleshoot complex platform issues, perform root cause analysis, and drive corrective actions. - Manage and optimize containerized environments using Docker, Kubernetes, and orchestration tools. - Drive adoption of Infrastructure as Code (IaC) for scalable resource management. - Lead initiatives to improve DevOps and GitOps practices across the organization. - Mentor and provide technical guidance to junior engineers and team members. - Propose and execute platform optimization strategies, balancing cost and performance. Qualifications - Backstage framework experience (mandatory) - Advanced proficiency in programming and scripting languages (e.g. Python, Go, or Bash). - In-depth expertise in cloud platforms (AWS), including serverless and advanced networking. - Deep understanding of containerization (Docker, Kubernetes) and orchestration with platforms like EKS. - Expert-level experience with observability tools like Prometheus, Grafana, Datadog, NewRelic, etc. - Advanced knowledge of Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. - Proven ability to implement secure, scalable cloud infrastructure aligned with best practices. - Strong expertise in microservices architecture, RESTful APIs, and NoSQL databases. - Extensive experience with DevOps, CI/CD, and GitOps automation practices. - Advanced knowledge of performance tuning, cost optimization, and platform scaling. Professional Skills - Exceptional communication skills, capable of influencing technical and non-technical stakeholders. - Proven leadership and mentoring abilities within cross-functional teams. - Strong problem-solving skills with a focus on innovative and sustainable solutions. - Ability to take strategic ownership and drive continuous improvement initiatives. - Proficiency in presenting technical recommendations with well-reasoned arguments. - Advanced English is required. Other things to know - Learning & Development: 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. - Commitment to Disability Inclusion: Thoughtworks is committed to being an inclusive & accessible workplace employer of choice for all, including those living with disability. Benefits - Our goal is to equip you with career-defining experiences, to help you grow professionally and personally, and to foster a community where you feel you belong. - We're committed to making Thoughtworkers an employer of choice, and we offer a wide variety of benefits to support the teams' advancement, their health, and wellbeing. Company Description Thoughtworks is a global technology consultancy that integrates strategy, design, and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers, and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.

• Architect and lead the infrastructure strategy for the Production ML platform on Google Cloud. • Design, deploy, and maintain cloud infrastructure (GCP). • Build automated CI/CD pipelines for ML models. • Track model drift and performance degradation. • Collaborate with data engineers, ML engineers, and other teams.

• Design, deploy, and maintain elastic scaling cloud infrastructure • Build automated pipelines for training and deploying ML models • Implement observability tools to track model performance • Collaborate with engineering teams for smooth operation • Monitor system health and implement ML monitoring tools • Deploy tools for teams to monitor their workloads • Participate in on-call rotation for compliance management

• Design, deploy, and maintain cloud infrastructure • Build automated CI/CD pipelines • Implement observability tools for model tracking • Collaborate with data and ML engineers • Deploy monitoring tools for system health • Participate in on-call rotation