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Atlassian supports flexible work options (office, remote, or hybrid) and conducts interviews and onboarding virtually as a distributed-first company, hiring in any country where they have a legal entity. They are seeking an exceptional Solutions Engineer to collaborate with the enterprise sales team and regional partners to understand customer needs, strategize, deliver compelling demonstrations, and drive deals while ensuring solutions meet client demands. The role sits within a team that serves 300,000+ customers worldwide, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, focusing on value selling and enterprise solutions that transform outcomes. Atlassian emphasizes a "play as a team" culture and offers high earnings potential from enterprise opportunities in cloud and AI, with employees working with Atlassian, not for Atlassian. Key responsibilities include strategic technical engagement, opportunity identification, technical problem solving, product expertise, value-driven demonstrations, technical sales leadership, sales collaboration, and customer advocacy to influence product improvements.

Atlassian is transitioning from a product-led growth model to an enterprise go-to-market motion, with AI powering its platform (Jira, Confluence, Loom, Rovo) as the connective tissue for how teams plan, build, and deliver. The Senior Regional Marketing Manager for India will bring this transformation to life in-market and generate pipeline for sales, collaborating with sales, PMM, demand gen, events, and partner marketing. You will own a regional pipeline target, execute the regional marketing strategy, align with regional sales on target accounts and go-to-market motions, diagnose performance gaps, and drive changes to meet numbers. You will translate regional insights into recommendations for global campaigns, bring the AI/platform narrative to locally resonant proof points and customer stories, and leverage AI tools to inform strategy and accelerate performance. You will influence central teams, be the voice of India within the marketing organization, coordinate across ABM/demand gen/events/partner marketing, manage co-marketing with partners, oversee the regional calendar, measure performance, and adapt global content for local relevance.

Atlassian supports flexible, distributed-first work arrangements with virtual hiring and onboarding across countries. The Senior Enterprise Delivery Manager will guide Atlassian’s largest customers through cloud migrations as the primary strategic advisor, leading delivery and governance and collaborating with cross-functional teams. The role requires business acumen and technical fluency to develop customer cloud strategies and drive adoption of cloud features, including AI, with a focus on data movement and system integration. Responsibilities include end-to-end migration strategy, risk management and remediation, technical architecture around APIs and automation, trusted advisory to senior leadership, delivery excellence, accountability, stakeholder management, escalation, and industry insights. The ideal candidate thrives at the intersection of strategy, data, and execution and stays ahead of trends to propose innovative solutions to business challenges.

The ITSM Analytics group within Atlassian’s Jira Service Management builds the reporting and analytics platform that turns JSM operational data into actionable insight for IT and service teams, a key differentiator in the ITSM market. The team owns JSM’s end-to-end reporting surface, including Custom Metrics, JSM Insights, Operations Reports, Assets Reporting, and the JSM Summary Page. It is a full-stack team spanning frontend dashboards, backend GraphQL APIs, data pipelines, and the reporting data infrastructure, with high ownership across EAP to GA and a focus on performance, scale, and data quality. The role involves leading a charter-defining team building the analytics engine at the heart of Atlassian’s ITSM strategy, with high visibility tied to FY27 JSM growth and a surface ranging from greenfield to scale and deep technical depth. You will grow and shape a multi-pod team, set technical direction for a large data domain, and own outcomes as GA is delivered to enterprise customers.

At Atlassian, employees can work in an office, from home, or in a hybrid arrangement, and the company hires in any country where it has a legal entity. The Search Platform aims to power trusted, cross-product knowledge search and discovery for people and agents across all of Atlassian’s product and agentic surfaces. They are seeking a Principal Machine Learning Systems Engineer with deep expertise in applied ML and production ML infrastructure. The role will set the technical direction for a major ML-powered search and indexing capability and own the ML lifecycle end-to-end—from problem framing and data/feature strategy to architecture, deployment, monitoring, and continuous improvement. Responsibilities include designing scalable distributed systems, advancing ML approaches for document understanding and embeddings, creating reusable indexing patterns, collaborating with search quality and product teams, and mentoring across partner teams.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. As Principal Engineer in Search Platform, you will be a technical leader driving core indexing engines and enterprise-grade trust capabilities powering Atlassian Search and Rovo, leading the vision, architecture, and delivery for planetary-scale data ingestion and indexing while meeting enterprise commitments across multi-cloud, isolated cloud, compliance, and encryption. Responsibilities include leading Enterprise Trust & Compliance—owning the technical strategy and delivery for multi-cloud, isolated cloud, FedRAMP, BYOK encryption, and data residency. You will shape the indexing platform for AI-era workloads by evolving high-throughput, low-latency distributed indexing pipelines to meet retrieval demands for freshness, context relevance, and billions of events, while working across ML, Data, Cloud Infrastructure, and product teams. You will drive system efficiency at scale through smarter sharding, disaggregated storage, and compute efficiency, capitalize on agentic development advances in retrieval architectures, vector/hybrid indexing, and agentic memory patterns, and bring external advances into Atlassian's platform and product roadmap while simplifying architecture and reducing complexity.

Atlassian supports flexible work locations and hires globally where they have a legal entity. The principal engineer role targets an experienced engineer with broad backend expertise who acts as a role model and mentors junior teammates. Key responsibilities include tackling the largest and most complex problems from technical design to launch and delivering solutions used by other teams. You will determine plans of attack on large projects, tackle architecture challenges, apply architectural standards, and lead code reviews, documentation, and high-risk bug fixes. The role also involves setting standards for code reviews, collaborating across engineering teams on company-wide initiatives, transferring knowledge across languages, and mentoring more junior members.

Atlassian offers flexible work arrangements, allowing employees to work from an office, from home, or hybrid, with hiring possible in any country where they have a legal entity. The Bengaluru office anchors the company, but eligible candidates can work remotely across India. They are seeking a Principal Backend Software Engineer to join a team focused on delivering creative engineering improvements. The engineering organization aims to be world-class, prioritizing AI and cloud transition while delivering value through Jira, Confluence, Trello, and Bitbucket, and emphasizes collaboration to achieve extraordinary results. Responsibilities include tackling large, complex problems from design to launch; setting architectural standards; leading code reviews, documentation, and high-risk bug fixes; collaborating across teams on company-wide initiatives; and mentoring junior engineers while transferring knowledge across languages.

At Atlassian, employees can choose where they work and interviews and onboarding are conducted virtually as part of a distributed-first approach, with hiring available in any country where the company has a legal entity. The role for this position requires you to be located in India to support the team. You’ll lead an engineering team within Jira Service Management IT Operations, a fast‑growing cloud portfolio focused on transforming how engineering and IT teams detect, respond to, resolve, and prevent incidents at enterprise scale, powering alerting, on‑call scheduling, incident orchestration, and mobile experiences. You’ll operate within a distributed triad of Engineering, Product, and Design, delivering high‑quality software, shaping roadmaps, aligning with customer‑centric goals, guiding technical and architectural decisions, and fostering an inclusive, high‑performing culture. The candidate should have 12+ years of experience managing software engineers, hands‑on coding experience, a track record with large‑scale cloud/SaaS products, ability to partner with Product and Design, strong communication skills, and a CS/Engineering degree or equivalent.

Data and observability are central to engineering reliability at Atlassian, with the Reliability Process Group (RPG) building the data infrastructure, ingestion pipelines, and analytics surfaces that track incident posture, PIRs, SLOs, and reliability metrics across the company (e.g., Reliability Watch, MSR reporting, AutoHOT). The company is seeking a Senior Data Engineer (P50) to take end-to-end ownership of data pipelines and analytical data products. In this role, you will design robust batch and incremental ETL/ELT pipelines, implement automated Data Quality frameworks, optimize query performance at scale, and deliver trusted datasets powering executive and team-level reliability reporting. You will own end-to-end pipeline and system design, building scalable pipelines that ingest data from Jira/JSM, OpsGenie, internal incident services, and telemetry stores. You will also work on data modeling with reliable data models and marts using dbt and Databricks, establish automated DQ checks and alerting, enable analytics and visualization for dashboards and executive reporting, optimize performance and cost, and champion engineering standards and mentorship.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. Atlassian is seeking a Product Lead to own the strategy, delivery, and operating model for the CMK and encryption platform portfolio at the intersection of enterprise trust, platform capability, regulatory readiness, and customer value. The role will define how encryption capabilities scale across Atlassian Cloud, clarify product and platform scope, and drive outcomes for CMK, encryption platform, Bring Your Own Key patterns, and related services. Responsibilities include owning the product vision and roadmap, defining scope and boundaries, guiding roadmap decisions across commitments, architecture, and commercial priorities, and partnering with engineering, security, GTM, legal, and compliance teams. The scope covers CMK strategy, Bring Your Own Key and external key management patterns, encryption standards and architecture, enterprise trust requirements, prioritization balancing customer demand, risk reduction, platform leverage, and revenue impact, with a focus on aligning across product, platform, and go-to-market teams and maintaining continuity and long-term portfolio coherence.

At Atlassian, you can work flexibly from an office, home, or a mix, and the company hires globally with virtual interviews and onboarding as a distributed-first team. The Senior Principal Forward Deployed Engineer (FDE) will lead applied AI initiatives, working directly with customers and cross-functional teams to deliver AI-powered solutions and help shape the future of AI-powered teamwork. Key responsibilities include contributing across the product suite, leading design and deployment of AI/ML solutions using Rovo tailored to customer needs, building robust integrations, influencing product direction with customers, and driving adoption of AI-augmented workflow automation. The role also involves end-to-end deployment, ongoing evaluation and improvement, navigating AI risk and GDPR compliance, mentoring others, and communicating complex concepts clearly to technical and non-technical stakeholders while aligning with business objectives. Compensation is equitable and competitive, with base pay in range and potential benefits, bonuses, commissions, and equity, following consistent hiring practices.

Atlassian offers flexible work locations—office, home, or hybrid—with a distributed-first approach and hires in any country with a legal entity, with virtual interviews and onboarding. The Principal Forward Deployed Engineer (FDE) role puts you at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions in a high-visibility, high-impact position. You will contribute code across the Atlassian product suite, lead the design, development, and deployment of AI/ML solutions using Rovo, and architect robust integrations with Python, JavaScript, and APIs for enterprise-scale systems. You’ll influence product direction by collaborating with customers, champion AI-augmented workflow automation, oversee end-to-end deployment and ongoing improvement, navigate risk and data privacy requirements, mentor senior engineers, and clearly communicate complex concepts to stakeholders. Compensation is designed to be equitable and competitive, with base pay within a range and potential eligibility for benefits, bonuses, commissions, and equity.

1. Atlassians can choose where they work—office, home, or a hybrid—and the company hires people in any country where it has a legal entity. 2. Atlassian is seeking a Principal Data Engineer to join the Data Engineering Team as a tech lead and architect to build world-class data solutions that power crucial business decisions and support a data-driven culture. 3. The role involves owning the technical evolution of data engineering, delivering incrementally, escalating risks and issues promptly, and maintaining high standards for data quality, performance, scale, and security. 4. You will define the problem space, architect solutions, coordinate engineers, and mentor the team while working closely with the engineering manager to help the team grow. 5. You will collaborate with counterparts in other departments to build a multi-functional team and drive a culture of collaboration across the organization.

Atlassian allows employees to work from the office, home, or a hybrid setup, and hires across any country where the company has a legal entity. Data is central to the business, with billions of events ingested monthly into the analytics platform used by dozens of teams for critical decisions. The company builds and maintains an analytical and operational data store to enable informed decisions on trusted data and services. They are hiring a Senior Data Engineering Manager for the Finance Data Engineering team to further democratize data and create exceptional data products. Key responsibilities include leading and mentoring engineers, providing deep technical guidance in a scalable data ecosystem, driving engineering excellence and process improvements, and collaborating with cross-functional teams such as Business, Data Science, and Analytics Platform.

Atlassian supports flexible work options (office, remote, or hybrid) and hires globally where they have a legal entity, helping employees balance personal goals and priorities. The Principal Enterprise Delivery Manager leads Atlassian's largest cloud migrations, serving as a strategic advisor and technical consultant to senior customer decision-makers while coordinating delivery and governance with cross-functional teams. The role requires business acumen and technical fluency, focusing on developing customer cloud strategies and enabling adoption of cloud features, including AI, through a deep understanding of data movement, integrations, and migration outcomes. Responsibilities include end-to-end migration strategy, risk management with readiness assessments and remediation, technical architecture around APIs/webhooks/automation, trusted advisory to executives, and governance of the migration lifecycle from discovery to go-live, plus milestone-driven accountability and stakeholder communication. Additional duties include team leadership and mentoring, internal enablement like training workshops and playbooks, escalation management for blockers, and staying ahead of industry trends to propose innovative, data-driven solutions.

The role is Principal Data Scientist at Atlassian, focused on Service Collection and using analytics, data science, and AI/ML to identify opportunities and influence the product roadmap. The position blends end-to-end business acumen with advanced data science to shape strategy and decision-making for Service Collection and requires reporting department-level key results to the R&D team. Responsibilities include building measurement frameworks, ML models, and tooling to accelerate growth, and leading high-impact projects with cross-functional teams (Engineering, Product Management, Design, Data Engineering, and Research & Insights). The role also involves mentoring junior data scientists, training others on technical concepts, and partnering with executive stakeholders, with proficiency in AI/LLM. Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country with a legal entity.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, enabling continuous, measurable assurance that software works as intended at AI speed and scale. With integrations across the SDLC, it sets a new quality standard and is trusted by developers, testers, and software engineers in 32,000 organizations, including 75% of the largest financial institutions and brands such as Adobe, JetBlue, and Microsoft. Its open-source tools are downloaded more than 100 million times a month and have earned over 30,000 GitHub stars, while its brands like Swagger, TestComplete, Reflect, QMetry, and Zephyr help meet customers where they are. The posted roles include Senior Software Engineer – Java and Senior Backend Engineer roles focused on designing, documenting, and implementing scalable Java applications on AWS with Docker, Terraform, microservices, REST, CI/CD, and robust testing in a globally distributed team. SmartBear emphasizes an inclusive, growth-oriented culture with a People and Culture organization, global offices from Somerville, MA to Galway, Bath, Wroclaw, Ahmedabad, and Bangalore, and a mission to improve software quality in an AI-driven world.

Atlassian offers flexible, distributed-first work options with hires globally and virtual interviews and onboarding. Atlassian's products—Jira Software, Confluence, and Jira Service Management—help teams collaborate and are used by Fortune 500 companies and others like NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid-Market sales team is responsible for managing a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-selling and expanding users, nurturing relationships, and achieving revenue targets, while advocating for customers and feeding feedback to product and engineering. The role involves collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deploy Atlassian at scale and developing named Account or Territory plans (India) to maximize expansion and customer success. Additional duties include growing the business within the mid-market, qualifying opportunities, conducting product demonstrations, staying informed on market trends and competitors, providing regular updates to management, and occasional travel for client meetings and events.

Atlassian offers flexible work locations and a distributed-first approach with virtual interviews and onboarding for a global workforce. We’re seeking a Senior Principal Backend Software Engineer to join Jira Platform and help turn its vision into reality as the trusted, agent-native system of record and control plane for enterprise-scale human and agent teamwork. The Jira Data Management team focuses on data transfer and management within Jira Cloud, enabling large-scale migrations (Data Center to Cloud, Cloud to Cloud, External to Cloud) and data-shape management like Site Optimizer, backed by a 50+ person team of engineers, PMs, and designers. You will own the technical evolution and long-term architecture of Jira Data Management, lead major architectural initiatives across Jira Platform, and define a 12–24 month roadmap for shared platform primitives with emphasis on reliability, performance, observability, security, and operational excellence. You’ll provide hands-on technical leadership through design reviews, deep investigations, incident reviews, and mentorship of principal and senior engineers while driving Atlassian’s objectives in a fast-paced environment.

Atlassian allows employees to work where they choose—office, home, or a mix. This setup gives employees more control to support their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder for a job description to be inserted. Overall, the message highlights flexible work options and global hiring reach.

Atlassian supports flexible work locations (office, home, or a mix) and hires in any country where it has a legal entity. In Search Platform, the mission is to help teams move work forward by connecting people to knowledge, content, and actions, with leaders addressing distributed systems, data infrastructure, developer platforms, product impact, and operational excellence. The role focuses on leading a team that builds large-scale search infrastructure, setting technical and execution direction, and coordinating with senior engineers, product, and adjacent platform teams to define roadmaps and durable improvements. Responsibilities include incident readiness, capacity planning, architecture decisions for high availability, and hiring, coaching, and developing engineers and managers to foster clarity, accountability, and growth. The goal is to improve engineering effectiveness through better planning, prioritization, technical design, and delivery rhythms.

Atlassians can choose where they work—office, home, or a mix. This arrangement gives employees greater control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where the company has a legal entity. The document includes a placeholder for inserting a job description. Overall, the message emphasizes flexible work options and broad international hiring.

Atlassian supports flexible, distributed work, with virtual interviews and onboarding, and hires in any country where it has a legal entity. The company’s software—Jira Software, Confluence, and Jira Service Management—helps teams collaborate, and is used by the majority of the Fortune 500 and many other organizations including NASA, Audi, and Deutsche Bank. The Mid-Market sales team manages a portfolio of mid-sized customers, identifies cloud-first opportunities, pursues cross-sell and expansion, and aims to meet revenue targets while advocating for customers to product and engineering. They work closely with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deploy at scale and align with Atlassian values. They develop named Account or Territory plans (e.g., India), drive growth in the mid-market, demonstrate products, stay informed on industry trends and competitors, report progress, and occasionally travel for client meetings and events.

SmartBear delivers application integrity for modern tech stacks by offering deep test automation, API lifecycle management, and observability, with governance to operate at AI speed and scale and integrations across the SDLC to set a new quality standard. It is trusted by developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions and brands such as Adobe, JetBlue, and Microsoft, with open-source tools downloaded over 100 million times per month and more than 30,000 GitHub stars; its best-loved brands include Swagger, TestComplete, Reflect, QMetry, and Zephyr. SmartBear’s mission is to make the technology-driven world a better place, and it invites people to learn more at smartbear.com and follow the company on LinkedIn, X, and Reddit, while maintaining an inclusive and ethical workplace. The BugSnag role summary describes supporting enterprise customers adopting BugSnag to improve application stability, partnering with Sales to deliver technical demonstrations, proofs of concept, and customer evaluations, and building expertise in observability and customer-facing solution engineering. Candidates should have 2+ years in solutions engineering or related fields, knowledge of software development fundamentals and multiple programming languages, strong communication, curiosity, and the ability to collaborate across Sales, Product, and Engineering, with SmartBear emphasizing career growth and a diverse, inclusive culture.

SmartBear delivers application integrity for modern tech stacks with AI-speed governance, offering deep test automation, API lifecycle management, and observability across the SDLC to raise the quality standard for delivery teams. It is trusted by 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft, with open-source tools downloaded more than 100 million times per month and earning over 30,000 GitHub stars. Its best-loved brands include Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, and SmartBear meets customers where they are to improve the technology-driven world; learn more at www.smartbear.com or follow the company on LinkedIn, X, and Reddit. The Senior Software Engineer - C++ TestComplete role focuses on developing and maintaining the testing tool in C++, collaborating to implement backend functionalities, and integrating frontend and backend work across the web, mobile, and desktop test automation market, with a tech stack including C++, C#, Delphi, Avalonia, Windows programming, and GUI tools. Qualifications include 6+ years of backend software engineering in C++, familiarity with Delphi, Windows programming, solid OOP and design pattern knowledge, CI/CD experience, a BS in CS/SE, and English at least B2, while SmartBear emphasizes career growth, inclusivity, a People and Culture approach, global offices, industry awards, and equal opportunity employment in a diverse, respectful workplace.

SmartBear delivers application integrity for modern tech stacks with governance that operates at AI speed and scale, offering deep test automation, API lifecycle management, and observability across the SDLC. It is trusted by 32,000 organizations—including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft—with open source tools downloaded over 100 million times per month and more than 30,000 GitHub stars. Its best-loved brands, such as Swagger, TestComplete, Reflect, QMetry, and Zephyr, help meet customers where they are to improve the technology-driven world, with more information at smartbear.com and on LinkedIn, X, and Reddit. The Principal Software Engineer - Java Zephyr Enterprise role seeks a technical leader to drive complex changes, provide architecture guidance, mentor developers, and own backend Java 8+ development, requiring 12+ years of experience and deep expertise in Spring, AWS, databases, security, testing, and observability. SmartBear emphasizes a growth-oriented, people-first culture with equal opportunity employment, global offices, and awards, inviting candidates to join its mission to advance software quality.

SmartBear delivers application integrity for modern tech stacks with AI-powered governance, offering deep test automation, API lifecycle management, and observability, with integrations across the SDLC to raise quality for application-delivery teams. It is trusted by 32,000 organizations—including 75% of the largest financial institutions—and brands like Adobe, JetBlue, and Microsoft; its open-source tools are downloaded over 100 million times per month and have earned more than 30,000 GitHub stars, with popular brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr. Learn more at www.smartbear.com and follow SmartBear on LinkedIn, X, and Reddit as it aims to make the technology-driven world better. The role described is a People & Culture Director for SmartBear’s India operations, combining hands-on HRBP partnership with statutory compliance and serving as the India employment-regulation expert in partnership with the Director of Global People Operations. The position requires 8+ years as a senior HRBP, success partnering with senior leaders, expertise in performance management, employee relations, and organizational effectiveness, strong knowledge of Indian labor law, and a willingness to collaborate with a global People & Culture team, along with a culture of inclusion, growth, and celebrating differences.

The Security Testing team partners with Atlassian’s internal teams worldwide to deliver innovative, holistic security testing that secures Atlassian products, platforms, and customers. The role supports Atlassian’s security team, engineers, and customers by performing high-quality manual penetration testing and code reviews to provide technical assurance. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country with a legal entity; interviews and onboarding are conducted virtually as part of a distributed-first approach. You will validate the state of Atlassian’s technical security controls and collaborate closely with security and engineering teams, enjoying vulnerability hunting beyond automated tools. Reading and understanding code is important, as products are built with multiple languages, with Java, Go, and Python being the most common.

The Security Testing team's mission is to partner with Atlassian internal teams worldwide to provide innovative and holistic security testing to secure Atlassian products, platforms, and customers. The role supports Atlassian’s security team, engineers, and customers by performing high-quality penetration testing on software, platforms, and services, and by providing world-class technical assurance through manual penetration testing and code review. Atlassian supports flexible work arrangements and hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. The role involves technically validating the state of Atlassian’s security controls and collaborating closely with security and engineering teams, with a focus on vulnerability hunting and finding issues that automated tools miss. Reading and understanding code is important for collaboration with product engineering teams, and the products are built primarily using Java, Go, and Python.

Atlassian offers flexible work options—office, home, or a mix—and hires people in any country where the company has a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. As a Principal Machine Learning Engineer, you will set the technical direction for how AI is built and shipped across Jira Service Management, designing and improving multi-step LLM pipelines, including prompting strategies, model selection, output parsing, and orchestration to raise quality and reliability. You’ll build retrieval and grounding systems that surface the right context at the right moment—knowledge articles, past requests, structured data, and tool outputs—so AI decisions are grounded in relevant, trustworthy information, and you’ll own the quality, latency, cost, and reliability of AI workflows at enterprise scale with measurable quality via evaluation frameworks and benchmarks. You’ll run disciplined experiments to validate whether changes to models, prompts, or retrieval move the needle, and build the infrastructure to run those experiments repeatedly and confidently. As a Principal, your influence extends beyond your own code, setting multi-quarter ML strategy, making architectural decisions across teams, mentoring and growing emerging ML engineers, and shaping the long-term AI trajectory of a product used by teams worldwide.

Atlassian offers flexibility in where you work—office, home, or a hybrid—and hires people in every country where we have a legal entity. The Search Platform team powers Rovo Search and enables knowledge discovery and search across all enterprise data, both Atlassian and external apps, through a fast, globally scalable, cost-efficient, enterprise-grade search infrastructure. As a Senior Principal Engineer in Search Platform, you will own the technical roadmap for the Search Data pillar and help envision, build, and evolve a platform that integrates, processes, indexes, and searches massive unstructured data from 100+ sources, including real-time and AI-focused retrieval. You’ll lead other engineers, define strategic direction, and own outcomes from design to launch while driving step-change initiatives and balancing trade-offs among freshness, correctness, cost, and operational simplicity, as well as modernizing legacy data processing systems. Responsibilities include defining strategy and architecture, establishing patterns for messy real-world data, owning operational excellence and metrics, improving developer productivity, and mentoring/hiring to foster a culture of ownership, rigorous testing, safe rollouts, and data-driven engineering.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. In this role you will define and communicate a clear territory vision, plan and report on funnel/status/resources, and collaborate with cross-functional teams to ensure customer satisfaction and retention. You will also represent the Atlassian Service Collection at industry events and work closely with Atlassian partner management and a range of partners from large IT service providers to professional service firms. Candidates should have at least 10 years of business development experience in technology vendors, with a track record of meeting/exceeding targets, plus ITSM market experience and familiarity with mainstream service management solutions. Additional requirements include experience working with Indian customers and local SI partners on RFP/RFI responses, the ability to drive GTM campaigns in the India market with Atlassian teams and channel partners, English fluency, and ITIL certification being a plus but not mandatory.

- Atlassian supports flexible work locations and hires globally where it has a legal entity; the Senior Partner Solutions Architect role is remote but must be located in India and reports to the International Head of Partner Solutions. - The company's mission is to empower customers with enterprise-grade, AI-enabled cloud solutions, and in this role you’ll lead the development and implementation of tailored solutions with regional partners to accelerate enterprise transformation and deliver measurable value from Atlassian’s platform and AI investments. - The Partner Solutions team comprises experts in Cloud Acceleration & Upgrades, Solution Design, and Architecture, focused on building enterprise cloud capabilities and supporting migrations and adoption. - You will drive digital transformation and AI initiatives, collaborate with partners and stakeholders in a matrix environment, articulate the value of SaaS platforms, and guide customers through secure cloud migrations while becoming a subject matter expert to support customer success. - Key duties include leading India partner capability strategy, coordinating enterprise cloud and AI programs, partnering on packaged services and GTM with Atlassian Partners, conducting capability workshops, enabling co-selling with enterprise sales, and building a coordinated capability model with cloud thought leadership.

At Atlassian, employees can choose their work location—office, home, or a hybrid—and the company hires in any country where it has a legal entity. The AI & ML Platform Team builds and runs the infrastructure that underpins Atlassian’s AI, machine learning, and search capabilities, with a mission to democratize AI/ML by providing user-friendly, reliable foundational tools that accelerate development, deployment, measurement, and operation. The team owns infrastructure such as the platform for running advanced generative LLMs, the GPU-accelerated model serving platform, data access and training infrastructure, and feature stores for production personalization, collaborating closely with product and search teams to deliver Atlassian Intelligence features. The AI & ML Platform Team is distributed across Australia, India, Singapore, and the US and sits within the Central AI organization alongside the Search & Conversational AI teams, working with leadership, technical program managers, stakeholders, and architects to shape the platform’s direction. As a hands-on engineering leader, you’ll build and empower teams, coach individuals, contribute to engineering and operational practices, and drive continuous improvement while helping to lead thought leadership in a rapidly evolving AI space to influence the wider company.