Lead engineering teams building and operating Atlassian’s Plato Data Platform across streaming ingestion and MPP query/serving. Own reliability, performance, cost, scale, data quality, and observability for high-scale production infrastructure. Manage hiring, coaching, retention, and development of senior engineers and managers while providing technical leadership in distributed systems, Kubernetes, and cloud data infrastructure on GCP or AWS.
Engineering | Bengaluru, India | Remote, Remote
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.About the Role
We are looking for a Senior Engineering Manager to lead the team, technical direction, architectural evolution, and operational excellence of Atlassian's foundational data platform.
Our platform powers the data behind critical experiences across the company-from rich in-product analytics in Jira, JSM, and Confluence, to dedicated solutions like Atlassian Analytics, the Teamwork Graph (TWG), and AI-native capabilities like Rovo. In this high-leverage, cross-organizational role, you and your team's decisions will directly shape how hundreds of thousands of organizations explore, understand, and act on their data.
We seek leaders who are eager to shape the future and believe in the power of collaboration to achieve extraordinary results together.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.About the Role
We are looking for a Senior Engineering Manager to lead the team, technical direction, architectural evolution, and operational excellence of Atlassian's foundational data platform.
Our platform powers the data behind critical experiences across the company-from rich in-product analytics in Jira, JSM, and Confluence, to dedicated solutions like Atlassian Analytics, the Teamwork Graph (TWG), and AI-native capabilities like Rovo. In this high-leverage, cross-organizational role, you and your team's decisions will directly shape how hundreds of thousands of organizations explore, understand, and act on their data.
We seek leaders who are eager to shape the future and believe in the power of collaboration to achieve extraordinary results together.
- Lead, grow and retain a high-performing team of engineers building and operating Atlassian's data platform (streaming ingestion on Flink and/or MPP query/serving on StarRocks).
- Own the technical direction, architecture and roadmap for your area, partnering with senior ICs on the largest and most complex problems from design to launch.
- Drive operational excellence for high-scale data platform systems in production-reliability, SLOs, on-call, performance, cost and data quality/observability.
- Deliver platform capabilities that are consumed by other teams and products across Atlassian.
- Partner across engineering teams to take on company-wide initiatives spanning multiple projects and organizations.
- Hire, coach and develop engineers; set clear expectations, give meaningful feedback, and grow the next generation of technical leaders.
- Set the standard for engineering quality-thorough code reviews, sound architecture, and strong documentation.
- Manage delivery: planning, prioritisation, execution and stakeholder communication across a full-lifecycle platform team.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
This role may also be eligible for benefits, bonuses, commissions, and equity.
- 10+ years in software engineering with 4+ years managing engineering teams (managing senior ICs and/or managers preferred at M60).
- Must have led teams building/operating data platform systems in streaming/ingestion (Flink, or Spark as an alternative) and/or MPP query engines (StarRocks, or alternatives such as Trino / Apache Pinot / Apache Doris).
- Proven track record of operational management of high-scale data platform systems in production - reliability, performance, cost and data-quality/observability.
- Strong technical depth in distributed systems. kubernetes and large-scale data infrastructure (GCP/AWS).
- Proven people leadership: hiring, growing, coaching and retaining senior engineers.
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the technical evolution of Atlassian’s data engineering capabilities by architecting scalable batch and streaming data solutions. Direct complex engineering efforts, improve data quality and productivity, establish technical direction, and coordinate implementation across teams. Mentor and coach data engineers while partnering cross-functionally to support data-driven business decisions and long-term platform scalability.
Top Skills:
Apache AirflowApache FlinkApache HiveApache KafkaSparkAws AthenaAws EmrAws RedshiftDatabricksKappa ArchitectureLambda ArchitectureMaster Data ManagementMicroservicesSQL
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build, train, evaluate, and deploy machine learning and LLM-based safety models, guardrails, and content moderation systems. Develop evaluation frameworks, adversarial testing, and low-latency inference solutions for high-throughput production workloads. Research defenses against jailbreaks, prompt injection, data leakage, and harmful content. Support AI governance, compliance, audit logging, and watermarking. Collaborate across engineering, product, legal, and trust teams while mentoring engineers.
Top Skills:
SparkAWSDockerGCPGoGraph-Based Entity SystemsJavaKafkaKinesisKotlinKubernetesLlmsLookerLoraMicrostrategyNlpPeftPrompt EngineeringPythonR-ShinySap BusinessobjectsSQLTableauTensorrt-LlmTransformer ArchitecturesTriton Inference ServerVllm
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and manage scalable data systems, including metric definition, logging instrumentation, data ingestion, architecture, modeling, transformation, quality, governance, visualization, and reporting. Partner with product, analytics, data science, and other data teams to improve product insights, engagement, efficiency, and strategic decision-making.
Top Skills:
DashboardingData GovernanceData ModelingData QualityData VisualizationEtl/EltLoggingProduct AnalyticsPythonRelational DatabasesSQL
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
