Job Description The Operational Resilience Engineer supports our client's Technology and Operations organization by owning and evolving the systems, automations, and processes that underpin operational risk control. This role goes beyond managing incidents, focusing on independent delivery of end-to-end engineering solutions that make our client's operational environment faster, smarter, and more resilient. The Operational Resilience Engineer designs and builds automated workflows across incident management, BCP/DR, change management, and compliance evidence collection. They integrate operational systems, develop AI-assisted workflows, and create self-service tooling that reduces manual effort and improves operational metrics across Technology and Operations.

Core responsibilities include:

Building end-to-end automations that streamline incident lifecycle management, from detection through Learning Review and post-incident action tracking Integrating operational systems to enable real-time data flow across incident, change, and compliance platforms Developing AI-assisted workflows to enrich incidents, surface risk signals, and accelerate decision-making Automating change management processes, including risk scoring and compliance evidence collection Creating policy validation pipelines and maintaining operational documentation and procedures Delivering self-service tooling that empowers Technology and Operations staff to act independently Driving continuous improvement in operational metrics through instrumentation and observability A successful Operational Resilience Engineer brings knowledge in one or more critical operational risk control processes, such as incident management, BCP/DR, change management, capacity planning, or asset management, combined with strong engineering capabilities including APIs, cloud automation, CI/CD, event-driven architecture, workflow orchestration, and observability tooling. Typical deliverables include automated DR evidence collection systems, incident enrichment pipelines, change automation with risk scoring, and policy validation frameworks. This role requires strong communication, collaboration, and critical thinking skills, with the ability to operate independently and deliver complete solutions in a fast-paced, multi-faceted technical environment. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements A successful Operational Resilience Engineer will demonstrate excellent written and verbal communications skills including demonstrated ability to write in explanatory and procedural styles for multiple audiences, ability to effectively lead meetings in a technical setting among multiple stakeholders with varied backgrounds and viewpoints, strong troubleshooting and problem-solving skills, and ability to work well under pressure. Minimum 2 years of demonstrated computer science, computer networking, and/or computer infrastructure related experience.

Minimum Education Requirement:

Bachelor's degree in Project Management, Computer Science, Software Engineering, Math, Business, Financial Services, or a related discipline. Experience with Atlassian Suite products Experience responding to and/or documenting technical incidents Experience developing AI-assisted workflows Demonstrated leadership experience, especially in a technical setting