Senior Site Reliability Engineer

Who We Are

Fulcrum Digital is a global AI-first enterprise transformation company with over 25 years of experience. We partner with enterprises across financial services insurance healthcare retail manufacturing higher education and logistics to move from AI experimentation to scalable business outcomes. Fulcrum Digital works with over 100 global clients including Fortune 500 enterprises combining deep industry expertise with capabilities in enterprise AI digital engineering cloud modernisation platform integration and generative AI.

Were hiring a Senior Site Reliability Engineer to join the Business Operations (BizOps) team on one of our top client engagements a global leader in payments technology. This role supports the AI Data and User Experience program which is establishing a Unified AI Data & UX Organization to enable faster delivery differentiated AI products and scalable innovation across the enterprise.

Business Operations leads the clients DevOps transformation through tooling and by advocating for change and standards across the development quality release and product organizations. Were looking for someone with an appetite for change who can push the boundaries of whats possible with automation and who works comfortably across development operations and product teams to prioritize needs and build relationships.

Core tech stack: Unix shell scripting SQL Python Apache NiFi Splunk Dynatrace Jenkins Git XL Release (XLR) and AI/agentic workflows.

Engage in and improve the full lifecycle of services from inception and design through deployment operation and refinement.

Analyze ITSM activity across the platform and feed back operational gaps or resiliency concerns to development teams.

Support services before they go live through system design consulting capacity planning and launch reviews.

Maintain live services by measuring and monitoring availability latency and overall system health.

Scale systems sustainably through automation and drive changes that improve reliability and velocity.

Support the application CI/CD pipeline for promoting software into higher environments through validation and operational gating and lead DevOps automation and best practices.

Practice sustainable incident response and blameless post-mortems.

Take a holistic approach to problem-solving connecting the dots across the technology stack during production events to optimize mean time to recovery.

Collaborate with a global team spread across multiple tech hubs and time zones.

Share knowledge and mentor junior team members.

Requirements

BS degree in Computer Science or a related technical field involving coding (e.g. physics or mathematics) or equivalent practical experience.

Experience with algorithms data structures scripting pipeline management and software design.

Systematic problem-solving approach combined with strong communication skills and a sense of ownership and drive.

Ability to debug and optimize code and automate routine tasks.

Experience handling difficult situations and making decisions with a sense of urgency given the range of stakeholders supported.

Experience supporting production AI machine learning data platforms or large-scale distributed systems.

Experience with industry-standard CI/CD tools such as Git/Bitbucket Jenkins Maven Artifactory and Chef.

Experience in one or more of the following languages: C C Java Python Go Perl or Ruby.

Experience designing and implementing an efficient CI/CD flow that moves code from dev to prod with high quality and minimal manual effort.