Engineering Manager, Agentic AI Integrations

Key Responsibilities

• Leadership: Build, coach, and mentor a team of software engineers.

• Technical Strategy: Deliver foundational components for multi-agent systems and lead the adoption of protocols like MCP and A2A.

• Cross-functional Collaboration: Partner with Product, Platform, and Data Science teams to embed AI capabilities across Atlassian.

• Operational Excellence: Maintain high-reliability services (4 9s SLA) while optimizing for cost and latency.

• Industry Influence: Contribute to open specifications and represent Atlassian in AI interoperability working groups.

Requirements

• Experience: 8-10+ years in software development with at least 4+ years in people management.

• AI Expertise: Hands-on experience with AI/ML platform engineering, model serving, or agent frameworks (LangChain, Semantic Kernel, etc.).

• Technical Stack: Proficiency in Python, TypeScript, or Go.

• Systems Thinking: Experience with high-scale distributed systems, vector databases, and observability pipelines.

More about you...

• You have stellar people management skills and experience leading an agile software team

• You thrive when developing phenomenal people, not just great products

• You have worked closely with Data Science, Analytics, and Platform teams

• You bring expertise in building and maintaining high-quality system components and services

• You are able to drive technical excellence, pushing for innovation and quality

• You have at least 8-10 years of experience in a software development role as an individual contributor

• You have 4+ years of people management experience

• Hands-on experience in AI or ML platform engineering, including model serving, MCP, A2A, or workflow orchestration.

• Strong understanding of emerging agent frameworks, context protocols (MCP, LangChain, Semantic Kernel, etc.), and LLM-based system design.

• Proficiency in modern programming languages such as Python, TypeScript, or Go.

• Proven track record of leading cross-functional engineering initiatives and mentoring technical teams.

• Operating a highly reliable (4 9s SLA), cost optimize, low-latency and high-throughput Cloud service.

Preferred Skills

• Familiarity with MCP architecture, A2A specification, and agent collaboration frameworks (e.g., MCP servers, UI clients, and adapters).

• Experience with observability, vector databases, and secure model-to-model communication.

• Background in enterprise integration patterns, API governance, or developer experience platforms.

• Contributions to open-source AI frameworks or standards development initiatives.

Why Join

• Work at the forefront of AI interoperability and system design.

• Influence emerging standards that define how agents and models communicate.

• • Collaborate with top engineers and research partners building the next layer of enterprise AI infrastructure.

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 go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.