Lead Infrastructure Engineer: GCP

Lead Infrastructure Engineers play a critical role in helping organizations build and evolve the systems that support software delivery and operations. They work collaboratively with diverse teams, balancing technical expertise with an understanding of organizational needs. These engineers champion technical quality and effective working methods, promoting agile and DevOps mindsets to foster collaboration and better outcomes for clients.

Key Responsibilities

- Explore client needs and drive the creation of technical roadmaps and impactful solutions aligned with ambitious business goals.
- Collaborate with business development, marketing, and capability teams to shape and grow the cloud and infrastructure practice.
- Design and implement controls and processes for continuous delivery and evolution of infrastructure and applications, emphasizing automation throughout all stages.
- Take a leadership role in monitoring and ensuring that technical deliverables consistently meet expectations on projects.
- Provide expertise and guidance in DevOps, cloud, platform, and infrastructure engineering both internally and at client sites.
- Build trusting partnerships with client leadership across engineering and commercial functions.
- Lead the design and implementation of innovative solutions addressing current constraints and business policies.

Required Qualifications

- Over 8 years of experience as a DevOps engineer with expertise in GCP Cloud, Infrastructure as Code (Terraform), Kubernetes, and CI/CD pipelines. Familiarity with AI technologies such as Retrieval-Augmented Generation (RAG) and AI agents is essential.
- Proven ability to lead collaborative design of enterprise or web-scale hosting platforms and manage application servers, web servers, and databases.
- Deep understanding of cloud and virtualization platforms, infrastructure automation, and application hosting technologies.
- Experience working closely with software delivery teams, applying DevOps philosophies, Agile methodologies, and Infrastructure as Code principles.
- Strong background in server virtualization, at least one Infrastructure as a Service (IaaS) cloud platform, and multiple application runtime platforms including physical servers, virtual servers, container clusters, serverless environments, and databases.
- Proficiency in scripting languages and experience building and managing Linux servers, Windows servers, container clusters, or Windows server systems.
- Hands-on experience with continuous integration and continuous delivery tools across various technology stacks, including web and mobile platforms.
- Familiarity with monitoring systems focused on availability, performance, security, stress testing, and observability patterns such as Distributed Tracing/OpenTracing, Log Aggregation, Audit Logging, Exception Tracking, Health Check APIs, Application Metrics, and self-healing/multi-cloud architectures.
- Solid understanding of security concerns including infrastructure vulnerabilities, secrets management, network security, and software supply chain security.

Preferred Qualifications and Additional Information

- Experience with unit testing, automated testing tools, and stress/performance testing is a plus.
- Strong interpersonal skills with the ability to communicate complex technical concepts to non-technical stakeholders effectively.
- Passion for creating scalable, flexible, and robust solutions that drive business transformation.
- Comfortable partnering with executive leadership (CTO, CIO, COO) to design technical strategies while advising senior IT teams.
- Adaptable to uncertainty, embracing change and making informed decisions with limited information to achieve positive outcomes.

Learning and Development

At Thoughtworks, career development is personalized and supported by a culture that balances autonomy with collaboration. Employees have access to interactive tools, development programs, and a supportive community committed to helping each other grow. The company values empowering individuals throughout their career journeys.

Responsible Use of AI in Recruitment

Thoughtworks employs AI tools to assist with administrative recruitment tasks such as drafting communications, scheduling interviews, and writing job descriptions. Importantly, AI does not participate in screening, assessing, ranking, or making hiring decisions. All applications are reviewed by human interviewers and hiring managers. The company is committed to fairness and responsible AI use, actively monitoring and mitigating bias while holding vendors to rigorous standards.

About Thoughtworks

Thoughtworks is a vibrant, inclusive community of innovative professionals dedicated to revolutionizing technology. As a leading technology consultancy with over 30 years of experience, Thoughtworks partners with clients to solve complex business challenges through technology-driven solutions. Join Thoughtworks to contribute your expertise and commitment to continuous learning, and together, create extraordinary impact.