Engineering Operations Lead

Overview

Engineering Operations Lead at APEXX, an enterprise payment orchestration platform, to strengthen how the Product & Technology team operates, collaborates and delivers, working closely with the CTO and Engineering Leadership Team. Initial focus is transforming Jira and Confluence, then expanding into broader technology operations, engineering productivity and strategic support for the CTO. Hands-on, senior individual contributor role.

What you'll do

• Own and transform the Atlassian ecosystem: Jira, Confluence and Jira Service Management, including configurations, workflows, permissions, integrations and platform governance.
• Standardise engineering workflows across Engineering, Product, Platform and QA, reducing unnecessary complexity while supporting different teams' delivery needs.
• Build automation and integrations connecting Jira with GitLab, Slack, CI/CD tooling and other systems to improve traceability, data quality and operational efficiency.
• Maintain secure, reliable platforms: oversee access controls, configuration standards, documentation and audit trails in support of PCI DSS, SOC 2 and ISO 27001.
• Drive platform adoption: troubleshoot issues, simplify legacy configurations and enable teams through documentation, training and self-service capabilities.
• Strengthen delivery governance: establish consistent approaches to planning, tracking, reporting and managing delivery commitments across Product and Technology teams.
• Improve engineering performance visibility: develop dashboards and reporting covering DORA metrics, cycle time, throughput, sprint predictability, delivery bottlenecks and defect trends.
• Support release readiness: coordinate visibility into outstanding defects, testing progress, dependencies, operational risks and release milestones.
• Drive cross-functional delivery: track initiatives, milestones, dependencies and risks across Engineering, Product, Platform and QA, escalating blockers and supporting resolution.
• Improve incident and problem management: strengthen incident tracking, escalation, root-cause analysis and follow-through on corrective and preventative actions.
• Partner with the CTO: translate technology priorities into structured initiatives, coordinate team reviews, maintain visibility into key decisions and commitments, and prepare concise executive and board reporting.
• Champion delivery effectiveness: identify recurring operational challenges, challenge inefficient processes and work with engineering leaders to improve predictability, accountability and execution.
• Build intelligent automation using APIs, scripting, automation platforms and AI-assisted development, including workflows, integrations and lightweight internal tools.
• Develop practical AI solutions such as AI agents, intelligent reporting, ticket triage and knowledge retrieval that improve engineering productivity and operational effectiveness.
• Improve technology knowledge management: strengthen documentation, knowledge sharing and AI-assisted search across Confluence and other internal platforms.
• Connect and optimise the technology stack: reduce manual administration, eliminate duplicated processes and improve information flow between engineering and operational systems.
• Champion responsible innovation: evaluate emerging AI and automation capabilities, ensuring solutions are secure, maintainable, appropriately governed and deliver measurable value.

What you'll need

• Strong experience in technology operations, technical delivery management, engineering operations or a similar role within a software engineering environment.
• 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.
• 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.
• Practical experience with AI-assisted development, workflow automation, APIs or scripting to build solutions and improve operational efficiency.
• Comfortable working with 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.
• 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.

Nice to have

• Experience working within a CTO Office, Engineering Operations or Technical Programme Management function.
• Atlassian certifications or experience with Jira Cloud, REST APIs, ScriptRunner, Forge or Rovo.
• Experience with Python, JavaScript/TypeScript, SQL, n8n or similar automation tools.
• Experience developing AI-powered internal tools, LLM integrations or agentic workflows.
• Experience with engineering analytics, release governance, incident management or IT service management.
• Experience in a FinTech, SaaS or scale-up environment, ideally with exposure to PCI DSS, SOC 2 or ISO 27001.

Details

• Location: Pune/Bengaluru, India.
• Work mode: hybrid.
• Employment level: Senior Individual Contributor, reporting to the CTO.
• Work From Anywhere: up to 90 days a year from eligible locations, subject to company policy.