Jobs at Thoughtworks

Develop software solutions for client projects using clean, reusable code and modern engineering practices. Collaborate with analysts, designers, project managers, and technologists in Agile, cross-functional teams. Apply test-driven development, pair programming, continuous integration, continuous delivery, and DevOps practices. Build customer experiences, contribute to design and prototypes, adopt cloud technologies, and continuously improve technical solutions.

Senior Fullstack Developer responsible for designing, building, testing, and deploying scalable software solutions using TypeScript, React, Next.js, Nest.js, and Node.js. The role involves developing microservices, applying TDD and continuous delivery, using cloud and DevSecOps practices, collaborating with cross-functional teams, solving complex client problems, and mentoring junior developers. Applicants must be Singapore Citizens or Singapore PRs due to client security requirements.

Designs, develops, tests, deploys, and supports large-scale distributed systems and microservices using modern full-stack and cloud technologies. Advocates clean code, TDD, continuous delivery, DevSecOps, and strong engineering practices. Collaborates with multidisciplinary teams, contributes throughout the software delivery lifecycle, solves complex client problems, and mentors junior developers while promoting technical excellence.

Develop software solutions collaboratively with analysts, designers, project managers, and technologists. Responsibilities include writing clean, reusable code; applying TDD, pair programming, design patterns, Agile, continuous delivery, and DevOps practices; building customer experiences; and learning emerging technologies to solve client problems.

Develop full-stack software using Java, React.js, Spring Boot, and Spring Security. Collaborate with analysts, designers, project managers, and technologists to design client solutions, write clean code, apply TDD and design patterns, and deliver through continuous delivery. Promote DevOps practices, build customer experiences, ensure UX quality, and continuously learn new technologies. The role requires strong collaboration, adaptability, ownership, and a commitment to high-quality engineering.

Supports AI-native technology advisory engagements through industry research, technology assessments, business and data analysis, competitive benchmarking, and opportunity identification. Translates client problems into evidence-based recommendations, requirements, roadmaps, and executive-ready deliverables. Uses AI tools responsibly to accelerate research and content development, validates outputs, facilitates workshops, reviews quality, and contributes reusable consulting frameworks and methodologies.

Lead infrastructure engineering consultant responsible for designing cloud, platform, and hosting solutions; establishing automation, DevOps, Infrastructure as Code, continuous delivery, monitoring, and security practices; guiding technical roadmaps; advising client leadership; and ensuring high-quality project delivery. The role also contributes to Thoughtworks’ infrastructure practice and builds trusted partnerships across engineering and commercial teams.

Leads FP&A and commercial finance partnering for a business unit, supporting budgeting, forecasting, strategic planning, proposals, project financial oversight, KPI reporting, and executive decision-making. Analyzes customer and pricing data, improves financial processes, communicates insights to financial and non-financial stakeholders, and mentors junior analysts.

Entry-level software developers collaborate with analysts, designers, and project managers to build client solutions. Responsibilities include writing clean, iterative code using TDD, SOLID, object-oriented design, and pair programming; applying continuous delivery practices; working in product-focused teams; learning current technology practices; and solving varied client challenges. Candidates need experience with at least one development language, preferably Java and React, less than one year of professional experience, and foundational analysis, design, coding, and object-oriented concepts.

Supports day-to-day application system operations, incident management, monitoring, alerting, troubleshooting, and root-cause analysis. Assists with continuous delivery and improving system efficiency, stability, and availability while learning DevOps practices and applying emerging technologies to client solutions. The role includes participation in a rotating 24x7 support team and structured training through the First Year Experience program.

Build, deploy, maintain, and monitor scalable machine learning systems, infrastructure, pipelines, and applications. Collaborate with data scientists, engineers, clients, and stakeholders to deliver ML solutions, lead functional workstreams, explore emerging tools, address technical challenges, and mentor team members. Apply MLOps, CI/CD, cloud and on-premises infrastructure, model training, deployment, monitoring, and evaluation practices while contributing to the organization’s machine learning strategy.

Infrastructure Engineer responsible for designing, implementing, and improving enterprise and web-scale infrastructure. The role involves cloud platforms, DevOps, Infrastructure as Code, application hosting, CI/CD, monitoring, security, and automation. The engineer collaborates with software delivery teams and clients, develops technical roadmaps, establishes continuous delivery processes, and advises engineering leadership on scalable, secure solutions.

Designs, implements, and improves client infrastructure and cloud platforms through hands-on DevOps, platform engineering, automation, and continuous delivery. The role develops technical roadmaps, manages Kubernetes and AWS environments, establishes infrastructure controls, monitors delivery quality, and advises client engineering leadership. It also requires collaboration across technical and business teams, consulting expertise, and the ability to communicate complex concepts to nontechnical stakeholders.

Leads AI engineering teams delivering scalable, production-ready generative AI and agentic solutions. Provides architectural and technical direction, oversees RAG pipelines, vector database integration, model optimization, testing, guardrails, responsible AI, monitoring, and documentation. Collaborates with product and business stakeholders, reviews designs and code, mentors engineers, and shapes technical roadmaps and engineering practices.

Designs, implements, and improves client infrastructure, hosting platforms, cloud environments, and application delivery processes. The role assesses existing systems, develops technical roadmaps, establishes continuous delivery controls, and advises clients on DevOps, platform engineering, security, and infrastructure automation. It also requires collaboration with engineering, infrastructure, network, security, and IT leadership teams while communicating technical concepts to nontechnical stakeholders.

Lead hands-on AIOps architecture and engineering for APAC client engagements. Design production-grade observability, intelligent alerting, AI-assisted triage, RCA, retrieval, and runbook automation solutions. Build integrations, data pipelines, agentic workflows, evaluation pipelines, and cloud infrastructure while applying software engineering, SRE, DevOps, testing, and governance practices. Advise clients, support technical pre-sales and proposals, mentor engineers, and connect regional projects with global AIOps capabilities.

Design, build, and deploy production generative AI applications using RAG, agents, and multi-agent systems. Collaborate with AI/ML, software, product, design, and data teams to deliver scalable and reliable solutions. Make architectural decisions, optimize performance and cost, review code, apply cloud and LLMOps practices, and mentor junior engineers while contributing to engineering standards.

Lead Quality Analyst responsible for developing quality strategies across products and teams, shifting quality left, managing delivery risks, conducting exploratory and cross-functional testing, and driving test automation standards. The role coaches engineers and other team members, improves testability and software quality, applies metrics and industry standards, and advocates quality practices with clients, internal teams, and the broader technology community.