Senior Engineering Manager - TDP Insights and Data Resiliency

About the role

Atlassian is looking for a Senior Engineering Manager to lead its TDP Insights and ADR (Data Resiliency) engineering team. The role is based in India (remote, full-time) and works closely with engineering teams in India and Australia, coordinating strategy, priorities and execution with leadership in the United States. TDP Insights turns high-volume platform telemetry into insights on data location, movement, cost, reliability and customer usage; ADR provides common backup, restore and recovery capabilities.

Key responsibilities

• Lead, coach and develop engineers and senior technical leaders, build an inclusive team and plan succession
• Manage capacity across strategic investments, customer commitments, operational work and technical debt
• Define and execute the TDP Insights and ADR strategy and roadmap, surface risks and dependencies early
• Own the operational health of the capabilities, including availability, data quality, performance, security, compliance and recoverability
• Set service-level objectives, operational indicators, review mechanisms and sustainable on-call practices
• Lead incident response and turn lessons into lasting improvements
• Partner with product, security, compliance, infrastructure, FinOps and customer teams, and represent the team in engineering reviews and architecture discussions
• Own the team's cost posture, including infrastructure efficiency, demand forecasting, unit economics and cost attribution

Required profile

• Significant engineering leadership experience
• Proven success building or operating a business-critical distributed system, data platform, analytics platform, storage service, resiliency platform or similar infrastructure product
• Strong people leadership, including coaching, performance management, hiring and succession planning
• Experience turning ambiguous strategies and customer requirements into clear roadmaps and measurable outcomes
• Experience leading teams and programs across multiple geographies and time zones

Required skills

• Distributed systems, data platforms, cloud infrastructure, reliability engineering, security and operational risk
• Large-scale production systems with SLAs, observability, incident management and capacity planning
• Enterprise capabilities such as data residency, encryption, compliance, backup and recovery, disaster recovery or tenant isolation
• Incident response leadership
• High-scale telemetry, analytics, streaming and data-processing technologies (e.g. Kafka or Flink), distributed storage, backup and restore systems, multi-cloud infrastructure or internal developer platforms are beneficial but not required