• Help build the next generation of our data platform, a streaming-first, domain-oriented foundation • Work on infrastructure, tooling, and paved paths for data flow from production systems • Enable near real-time access for analysts, engineers, AI systems, and business users • Champion platform standards, tooling, and best practices across the data organization

• Partner with product engineering teams to identify systems requirements. • Build and support our cloud-based microservices infrastructure. • Automate routine processes and remediation tasks. • Develop, monitor and track Service Level Objectives (SLOs) for the systems under management. • Proactively troubleshoot, resolve, and plan for issues that typically come from support staff, other engineering teams, and our automated monitoring system. • Ensure our datastores are healthy and operate at optimal performance levels. • Contribute to the growth and culture of our engineering team.

Role Description Lead Platform Engineers help clients build and evolve systems that client organizations use to deliver and run software. They are comfortable working within teams of people with diverse roles and levels of experience to find solutions that meet the needs of the organization. They combine technical expertise and understanding with consideration of different situational needs. They champion technical quality and effective ways of working as a means to better outcomes for clients, rather than an end in themselves. They help clients to understand agile ways of working and DevOps as a mindset for collaboration. Job Responsibilities - Explore the client’s needs and drive the building of a technical roadmap and impactful solution that will support their ambitious business goals. - Help shape and build Thoughtworks’ cloud and infrastructure practice through collaboration with business development, marketing, and capabilities development teams. - Ensure and build the controls and processes for continuous delivery and evolution of infrastructure and applications, driving automation through all stages of the process. - Take a leading role in monitoring and ensuring that technical expectations of deliverables are consistently met on projects. - Provide expertise and guidance in the areas of DevOps, cloud, platform and infrastructure engineering, both internally and in client sites. - Establish trusting and thoughtful partnerships with a client’s leadership across engineering and commercial functions. - Lead the design and implementation of innovative solutions to current constraints and business policies. Qualifications - Lead the collaborative design of enterprise and/or web-scale hosting platforms and can administer application servers, web servers and databases. - Deep understanding of cloud and virtualization platforms, infrastructure automation and application hosting technologies. - Experience working with software delivery teams and understand DevOps philosophies, Agile methods, Infrastructure as Code and how to apply them to your work. - Regularly apply DevOps philosophy, Agile methods, Infrastructure as Code to your work and lead infrastructure and operations with these approaches. - History of working with server virtualization, at least one IaaS cloud platform, and two or more application runtime platforms including physical servers, virtual servers, container clusters, serverless and databases. - Ability to write scripts using at least one scripting language and comfortable with building one or more of: Linux servers, Windows servers or container clusters, and/or Windows servers systems. - Experience with continuous integration and continuous delivery tools with different tech stacks, web or mobile. - Previously worked with monitoring systems for availability, performance or security, stress and performance testing with observability patterns. - Understanding of security concerns, threats and approaches for dealing with them, including infrastructure platform vulnerabilities, secrets management, network security and software supply chain security. - Bonus points for experience with unit testing and automated testing tools, stress and performance testing. Requirements - Genuinely enjoy interacting with teammates from across the business and have a knack for communicating technical concepts to nontechnical audiences. - Love creating robust, scalable, flexible and relevant solutions that help transform businesses and industries. - Comfortable partnering directly with leadership teams (CTO/CIO/COO) to design technical strategies while simultaneously collaborating with senior IT groups in an advisory capacity. - Adapt effortlessly to uncertainty, embrace change and confidently make decisions with limited information to achieve positive outcomes. Benefits - No one-size-fits-all career path at Thoughtworks; career development is entirely up to you. - Balance autonomy with the strength of a cultivation culture supported by interactive tools and numerous development programs. - Value in helping each other be our best and empowering employees in their career journeys. Company Description Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

• Design and implement solutions for the platform's most complex challenges — from high-scale pipeline architecture to modeling decisions that impact multiple consuming teams; • Lead code reviews with technical depth, highlighting trade-offs in performance, cost, and maintainability; • Serve as a technical point of reference: investigate production inconsistencies and optimize cloud costs; • Collaborate with partner teams to define how data reaches models — discussing data contracts, latency, quality, and governance; • Identify significant technical debt, recommend when to address it, and lead the remediation; • Work in an AI-driven environment where we actively use AI to raise the team's productivity — and contribute ideas on how this applies to data engineering.