Atlassian Visa Sponsorship Jobs USA
Atlassian is one of the most active visa sponsors in the U.S. technology sector, with a strong track record across both temporary work visas and permanent residence pathways. For international software engineers, product managers, and technical professionals, Atlassian represents a genuine sponsorship opportunity backed by consistent hiring history.
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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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Be the backbone of Atlassian’s Agentic AI Integration Products: The Agentic AI Integrations team is responsible for the industry-leading Rovo MCP Server, Agent to Agent integrations as well as on the mission to catapult Atlassian value by leveraging cutting-edge AI capabilities like Claude Skills, ChatGPT/Claude Apps etc., essentially we will be working on anything and everything with AI integrations into the Atlassian ecosystem.
Knack to work on bleeding-edge AI technologies: Passionate to explore and learn AI transformative technologies and quickly pivot from prototyping new initiatives to building highly-scalable enterprise-grade AI products that will be used by 1000s of developers and enterprise users.
ML performance, quality, and systems acumen-ship: Experience in tuning MCP or agent-facing servers for latency, reliability, token efficiency, and tool-selection quality; including dynamic tool discovery, context and response optimization, observability, automated evals, and semantic retrieval using embeddings, vector search, hybrid ranking, and reranking.
Responsibilities:
- Design, build, and evolve MCP servers, tools, and agent-facing APIs with concise schemas, predictable errors, safe mutations, and clear outcome-oriented contracts.
- Develop accessible, responsive, and performant React and TypeScript experiences that make agent capabilities, MCP tools, and A2A interactions easy to discover, configure, and use.
- Build reusable components, design-system patterns, and frontend architecture that support consistent, scalable user experiences across AI-powered products.
- Integrate GraphQL and REST APIs, SDKs, streaming responses, and real-time data into reliable, user-friendly AI workflows.
- Optimize token and context efficiency through dynamic tool discovery, lazy loading, bounded responses, pagination, selective field retrieval, caching, and reduced tool-call loops.
- Improve end-to-end performance and reliability across front-end clients, gateways, MCP servers, search services, and downstream product systems through observability, tracing, SLOs, and production diagnostics.
- Build semantic retrieval capabilities using embeddings, chunking, vector indexes, hybrid search, metadata and permission filters, ranking, reranking, and freshness strategies.
- Define and operate AI/ML quality programs with JTBD-based evaluations, benchmark datasets, groundedness and relevance metrics, hallucination and bias detection, safety testing, and human feedback.
- Integrate automated evaluations into CI/CD and release gates to detect regressions across model, prompt, tool, and retrieval changes.
- Implement enterprise security and partner cross-functionally to deliver maintainable, well-tested AI integrations, including OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses, and confirmation flows for high-impact actions.
Compensation:
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.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges:
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $180,000 - $235,000
Zone B: $162,000 - $211,500
Zone C: $149,400 - $195,050
Qualifications
- 7+ years of software engineering experience building and operating enterprise systems, APIs, or cloud-native products.
- Strong proficiency in TypeScript/JavaScript and modern front-end development with React; experience building accessible, responsive, and performant web applications.
- Hands-on experience designing or integrating MCP servers, tools, agent-facing APIs, or related context and agent frameworks.
- Demonstrated ability to apply distributed-systems principles, including concurrency, connection pooling, caching, retries, timeouts, backpressure, autoscaling, and load shedding.
- Experience measuring and improving latency, throughput, saturation, error rates, availability, token consumption, and end-to-end task cost.
- Practical experience with AI/ML evaluation and quality engineering, including benchmark design, groundedness, relevance, safety, hallucination detection, bias analysis, monitoring, and regression prevention.
- Knowledge of semantic search and retrieval systems, including embeddings, vector databases or indexes, hybrid retrieval, ranking, reranking, and permission-aware filtering.
- Experience integrating GraphQL, REST, JSON Schema, streaming APIs, SDKs, and event-driven systems into reliable product experiences.
- Proficiency in at least one additional systems or back-end language such as Python or Go, with strong testing and API design practices.
- Proven ability to lead cross-functional engineering initiatives, communicate clearly with technical and non-technical partners, and mentor other engineers.
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.
Overview:
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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Be the backbone of Atlassian’s Agentic AI Integration Products: The Agentic AI Integrations team is responsible for the industry-leading Rovo MCP Server, Agent to Agent integrations as well as on the mission to catapult Atlassian value by leveraging cutting-edge AI capabilities like Claude Skills, ChatGPT/Claude Apps etc., essentially we will be working on anything and everything with AI integrations into the Atlassian ecosystem.
Knack to work on bleeding-edge AI technologies: Passionate to explore and learn AI transformative technologies and quickly pivot from prototyping new initiatives to building highly-scalable enterprise-grade AI products that will be used by 1000s of developers and enterprise users.
ML performance, quality, and systems acumen-ship: Experience in tuning MCP or agent-facing servers for latency, reliability, token efficiency, and tool-selection quality; including dynamic tool discovery, context and response optimization, observability, automated evals, and semantic retrieval using embeddings, vector search, hybrid ranking, and reranking.
Responsibilities:
- Design, build, and evolve MCP servers, tools, and agent-facing APIs with concise schemas, predictable errors, safe mutations, and clear outcome-oriented contracts.
- Develop accessible, responsive, and performant React and TypeScript experiences that make agent capabilities, MCP tools, and A2A interactions easy to discover, configure, and use.
- Build reusable components, design-system patterns, and frontend architecture that support consistent, scalable user experiences across AI-powered products.
- Integrate GraphQL and REST APIs, SDKs, streaming responses, and real-time data into reliable, user-friendly AI workflows.
- Optimize token and context efficiency through dynamic tool discovery, lazy loading, bounded responses, pagination, selective field retrieval, caching, and reduced tool-call loops.
- Improve end-to-end performance and reliability across front-end clients, gateways, MCP servers, search services, and downstream product systems through observability, tracing, SLOs, and production diagnostics.
- Build semantic retrieval capabilities using embeddings, chunking, vector indexes, hybrid search, metadata and permission filters, ranking, reranking, and freshness strategies.
- Define and operate AI/ML quality programs with JTBD-based evaluations, benchmark datasets, groundedness and relevance metrics, hallucination and bias detection, safety testing, and human feedback.
- Integrate automated evaluations into CI/CD and release gates to detect regressions across model, prompt, tool, and retrieval changes.
- Implement enterprise security and partner cross-functionally to deliver maintainable, well-tested AI integrations, including OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses, and confirmation flows for high-impact actions.
Compensation:
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.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges:
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $180,000 - $235,000
Zone B: $162,000 - $211,500
Zone C: $149,400 - $195,050
Qualifications
- 7+ years of software engineering experience building and operating enterprise systems, APIs, or cloud-native products.
- Strong proficiency in TypeScript/JavaScript and modern front-end development with React; experience building accessible, responsive, and performant web applications.
- Hands-on experience designing or integrating MCP servers, tools, agent-facing APIs, or related context and agent frameworks.
- Demonstrated ability to apply distributed-systems principles, including concurrency, connection pooling, caching, retries, timeouts, backpressure, autoscaling, and load shedding.
- Experience measuring and improving latency, throughput, saturation, error rates, availability, token consumption, and end-to-end task cost.
- Practical experience with AI/ML evaluation and quality engineering, including benchmark design, groundedness, relevance, safety, hallucination detection, bias analysis, monitoring, and regression prevention.
- Knowledge of semantic search and retrieval systems, including embeddings, vector databases or indexes, hybrid retrieval, ranking, reranking, and permission-aware filtering.
- Experience integrating GraphQL, REST, JSON Schema, streaming APIs, SDKs, and event-driven systems into reliable product experiences.
- Proficiency in at least one additional systems or back-end language such as Python or Go, with strong testing and API design practices.
- Proven ability to lead cross-functional engineering initiatives, communicate clearly with technical and non-technical partners, and mentor other engineers.
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.
Job Roles at Atlassian
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Get Access To All JobsTips for Finding Atlassian Visa Sponsorship Jobs USA
Target roles in engineering and product
Atlassian's sponsorship activity is concentrated in technical and product disciplines. Software engineers, site reliability engineers, and product managers are among the roles most likely to come with visa support, so prioritize applications in these areas.
Understand which visas Atlassian supports
Atlassian sponsors H-1B, E-3, and employment-based Green Cards. If you're an Australian national, the E-3 pathway is worth exploring specifically, Atlassian has a consistent history of filing for Australian workers in specialty occupations.
Apply well ahead of the H-1B registration window
H-1B registration opens in March each year. Atlassian's hiring process can span several months, so targeting open roles in Q4 and Q1 gives you the best chance of having an offer in place before the registration deadline.
Highlight distributed collaboration experience
Atlassian builds tools used by remote and distributed teams globally. Candidates who demonstrate experience working across time zones or on async-first teams align naturally with Atlassian's culture and tend to resonate well during interviews.
Look for roles across multiple U.S. office locations
Atlassian operates across several U.S. locations including New York and San Francisco. Sponsorship-eligible roles are distributed across these offices, so broadening your search by location can significantly increase the number of opportunities available to you.
Use Migrate Mate to find verified sponsorship roles
Not every Atlassian job posting makes visa sponsorship clear upfront. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and focus your applications on roles where international candidates are genuinely considered.
Frequently Asked Questions
Does Atlassian sponsor H-1B visas?
Yes, Atlassian sponsors H-1B visas and is one of the more active H-1B sponsors in the U.S. technology sector. Sponsorship is most common for software engineering, product, and technical roles. If you're targeting an H-1B, focus on roles in these disciplines and aim to have your offer finalized well before the March registration window opens.
Which visa types does Atlassian sponsor?
Atlassian sponsors H-1B visas for specialty occupation workers, E-3 visas for Australian nationals in qualifying roles, and employment-based Green Cards through the EB-2 and EB-3 categories. The Green Card pathway is typically available to employees already working at Atlassian on a temporary visa, rather than being offered at the point of hire.
Which departments or roles at Atlassian are most likely to receive visa sponsorship?
Sponsorship at Atlassian is most strongly associated with technical roles, particularly software engineering, infrastructure, data engineering, and product management. These functions drive the majority of Atlassian's U.S. sponsorship activity. Business and operational roles are less commonly sponsored, though it does occur for sufficiently specialized positions.
How do I find visa-sponsored job openings at Atlassian?
Atlassian posts roles on its careers site, but individual listings don't always specify visa sponsorship availability. Migrate Mate aggregates Atlassian's open roles and flags them against verified sponsorship history, so you can quickly identify which positions are realistic for international candidates without having to research each listing manually.
How do I improve my chances of getting sponsored by Atlassian?
The strongest applications for Atlassian sponsorship combine deep technical expertise with demonstrated experience on collaborative, distributed teams, which reflects how Atlassian itself operates. Apply to roles in engineering and product where sponsorship is most common, be upfront about your visa requirements early in the process, and time your application to allow for Atlassian's multi-stage interview process before any relevant immigration deadlines.