APEXX Global - Engineering Operations Lead

• Atlassian Platform & Engineering Operations • Own and transform our Atlassian ecosystem: take responsibility for Jira, Confluence and Jira Service Management, improving configurations, workflows, permissions, integrations and overall platform governance. • Own and transform our Atlassian ecosystem: • Standardise engineering workflows: establish consistent, scalable processes across Engineering, Product, Platform and QA, reducing unnecessary complexity while supporting different teams' delivery needs. • Standardise engineering workflows: • Build automation and integrations: connect Jira with GitLab, Slack, CI/CD tooling and other systems to improve traceability, data quality and operational efficiency. • Build automation and integrations: • Maintain secure, reliable platforms: oversee access controls, configuration standards, documentation and audit trails in support of our PCI DSS, SOC 2 and ISO 27001 environment. • Maintain secure, reliable platforms: • Drive platform adoption and improvement: troubleshoot issues, simplify legacy configurations and enable teams through documentation, training and self-service capabilities. • Drive platform adoption and improvement: • Technology Delivery, Governance & CTO Office • Strengthen delivery governance: establish consistent approaches to planning, tracking, reporting and managing delivery commitments across Product and Technology teams. • Strengthen delivery governance: • Improve engineering performance visibility: develop dashboards and reporting covering DORA metrics, cycle time, throughput, sprint predictability, delivery bottlenecks and defect trends. • Improve engineering performance visibility: • Support release readiness: coordinate visibility into outstanding defects, testing progress, dependencies, operational risks and release milestones, helping teams identify and address issues before deployment. • Support release readiness: • Drive cross-functional delivery: track key initiatives, milestones, dependencies and risks across Engineering, Product, Platform and QA, proactively escalating blockers and supporting resolution. • Drive cross-functional delivery: • Improve incident and problem management: strengthen incident tracking, escalation, root-cause analysis and follow-through on corrective and preventative actions. • Improve incident and problem management: • Partner with the CTO: translate technology priorities into structured initiatives, coordinate team reviews, maintain visibility into key decisions and commitments, and prepare concise executive & board reporting with storytelling at heart. • Partner with the CTO: • Champion delivery effectiveness: identify recurring operational challenges, challenge inefficient processes and work with engineering leaders to improve predictability, accountability and execution. • Champion delivery effectiveness: • AI, Automation & Continuous Improvement • Build intelligent automation: develop workflows, integrations and lightweight internal tools using APIs, scripting, automation platforms and AI-assisted development. • Build intelligent automation: • Develop practical AI solutions: explore and implement AI agents, intelligent reporting, ticket triage, knowledge retrieval and other solutions that improve engineering productivity and operational effectiveness. • Develop practical AI solutions: • Improve technology knowledge management: strengthen documentation, knowledge sharing and AI-assisted search across Confluence and other internal platforms. • Improve technology knowledge management: • Connect and optimise our technology stack: reduce manual administration, eliminate duplicated processes and improve the flow of information between engineering and operational systems. • Connect and optimise our technology stack: • Champion responsible innovation: evaluate emerging AI and automation capabilities, ensuring solutions are secure, maintainable, appropriately governed and deliver measurable value. • Champion responsible innovation: • Strong experience in technology operations, technical delivery management, engineering operations or a similar role within a software engineering environment. • technology operations, technical delivery management, engineering operations or a similar role • Demonstrable hands-on expertise administering and improving Jira, including workflows, schemes, permissions, automation, dashboards and integrations. • Good understanding of Agile/Scrum/Kanban, SDLC, engineering delivery processes, release management and delivery governance. • Agile/Scrum/Kanban, SDLC, engineering delivery processes, release management and delivery governance. • Experience coordinating technical initiatives, managing dependencies, identifying delivery risks and improving accountability across engineering teams. • Familiarity with engineering performance metrics, including DORA, cycle time, throughput, defect trends and delivery predictability. • engineering performance metrics • Practical experience with AI-assisted development, workflow automation, APIs or scripting to build solutions and improve operational efficiency. • AI-assisted development, workflow automation, APIs or scripting • Comfortable working with Confluence, Jira Service Management, GitHub, Slack and modern engineering tooling. • Confluence, Jira Service Management, GitHub, Slack and modern engineering tooling. • Strong analytical and problem-solving skills, with experience translating operational data into actionable reporting and recommendations. • Confident partnering with CTOs, Engineering leaders and senior stakeholders, constructively challenging existing processes and driving cross-functional improvements. • CTOs, Engineering leaders and senior stakeholders • A proactive, hands-on approach, comfortable balancing platform administration, operational delivery and longer-term improvement initiatives. • Excellent communication and organisational skills, with experience working across distributed, cross-functional teams.