Senior Systems Support Engineer

As a senior Systems Support Engineer you will play a critical role in ensuring the operational efficiency, stability and availability of complex application systems. You will contribute significantly to operational success, refine your expertise in incident management and Dev Ops and leave a lasting impact on the delivery of inventive solutions to our clients.

• You will use your skills in incident management processes and tools, application monitoring metrics and tooling to generate reports and take corrective actions.
• You will understand complex application systems and find your way through them to debug a business impacting issue.
• You will follow standards and best practices to bring operational efficiencies, stability and availability of the system.
• You will use continuous delivery practices to evolve, support and deliver high-quality software, as well as value to end customers, as early as possible while working in a collaborative, value-driven teams to build innovative customer experiences for our clients.
• You will leverage your knowledge regarding the different logging techniques (various levels) and use them for alerting, monitoring and identifying the root cause of incidents.
• You will efficiently use Dev Ops tools and practices to deploy and run software.
• You will act as a mentor for less experienced peers through both your technical knowledge and leadership skills.
• You will apply the latest technology thinking from our Technology Radar to solve client problems.

• You have experience working on programming languages such as Java, React, Angular an understanding of scripting languages such as Python.
• You must possess strong debugging and triaging skills to troubleshoot code effectively.
• You have experience working with relational databases such as SQL & Data Bricks.
• You have experience working with containerization tools such as Docker and CI/CD tools such as Jenkins and Azure pipelines.
• You have experience working with relational or non-relational databases.
• You have an understanding of application monitoring tools such as Data Dog, Prometheus or Grafana, the different metrics that go with it and are able to generate reports and take corrective actions.
• You have the ability to ensure that the deliverables, namely bug fixes and enhancements to the existing codebase, are high-quality and well-tested.
• You are comfortable with Agile methods, such as Scrum and/or Kanban.
• Bonus: AI/ML experience and familiarity with AI-driven development tools.

• You enjoy influencing others and always advocate for technical excellence while being open to change, when needed.
• You have good communication and articulation skills.
• You have a presence in the external tech community and willingly share your expertise with others via speaking engagements, contributions to open source, blogs and more.
• You are resilient in ambiguous situations and can approach challenges from multiple perspectives.
• You advocate for and implement cloud best practices in the areas of resource optimization, monitoring and alerting.
• You advocate for security best practices and implementation of the same.
• You can guide and mentor junior-level consultants.
• You are willing to be part of a rotation- and need-based 24x7 available team.

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means 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.

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.

Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.

We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment .

Thoughtworks is an equal-opportunity employer. We are committed to providing equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by…