Senior Atlassian Engineer at Appen

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

5+ years of hands-on experience administering Atlassian products in enterprise environments
Atlassian Certified Professional in Jira Administration (Cloud or Data Center); additional certifications in Confluence and JSM preferred
Proven success in leading large-scale tool migrations and platform consolidations
Strong knowledge of Agile, ITIL, and ITSM frameworks, with practical implementation experience in Jira and JSM
Experience integrating Atlassian tools with collaboration and incident management platforms
Strong cross-functional collaboration skills, with ability to partner with Product and Engineering leaders
Knowledge of Atlassian Cloud migrations or hybrid Data Center deployments (preferred)
Experience with scripting, automation, and APIs (e.g., ScriptRunner, Automation for Jira) (preferred)
Familiarity with reporting/BI tools (e.g., eazyBI, Power BI, Tableau) (preferred)
ITIL certification a plus (preferred)

Responsibilities

Lead the configuration, customization, and scaling of Jira, JSM, and Confluence
Design and maintain custom workflows, permission schemes, automation rules, and reporting
Implement governance, security, and compliance best practices across the Atlassian platform
Drive adoption of Atlassian best practices across the business
Configure and optimize JSM for incident, problem, change, and request management
Partner with Service Desk and Engineering to ensure seamless ticketing, escalation, and on-call workflows
Define knowledge management standards in Confluence to centralize documentation, runbooks, and team knowledge bases
Integrate Atlassian tools with collaboration platforms and engineering toolchains
Lead efforts to consolidate and migrate legacy systems into the Atlassian ecosystem (e.g., prior ticketing, incident management, or knowledge base tools)
Continuously evaluate new Atlassian features and marketplace apps, driving improvements in productivity and service delivery
Serve as the trusted Atlassian advisor for Product, Engineering, and IT leadership
Provide training, documentation, and workshops to increase adoption and self-service usage
Collaborate with stakeholders to ensure Atlassian tools enable agile delivery, ITIL-based ITSM, and company-wide knowledge sharing

Skills

Jira

Confluence

Jira Service Management

Atlassian

Workflows

Automation Rules

Permission Schemes

Reporting

Integrations

Governance

Security

Compliance

Incident Management

Knowledge Management

Ticketing

Appen

Provides high-quality training data for AI

About Appen

Appen provides high-quality training data necessary for developing artificial intelligence (AI) systems, specializing in collecting and labeling data such as images, text, speech, audio, and video. The company uses a combination of in-house experts and a network of over 1 million contractors to deliver data annotation services, which help AI algorithms learn effectively. Appen stands out from competitors due to its global reach and extensive contractor network, allowing it to offer reliable data tailored to client needs. The goal of Appen is to enable organizations to create AI systems that perform various functions, enhancing the overall capabilities of AI technology.

Sydney, AustraliaHeadquarters

1996Year Founded

$358MTotal Funding

IPOCompany Stage

AI & Machine LearningIndustries

10,001+Employees

Benefits

Remote Work Options

Professional Development Budget

Flexible Work Hours

Risks

Increased competition from emerging data annotation startups threatens Appen's market share.

A major contract breach with Google highlights potential client relationship vulnerabilities.

Office closures in Toronto and Bellevue may impact operational capabilities and morale.

Differentiation

Appen specializes in high-quality training data for AI systems.

Appen offers multi-language database development for complex language technology needs.

Appen's Social Instinct platform moderates social media content in multiple languages.

Upsides

Appen raised $50 million to capitalize on generative AI opportunities.

Appen launched a solution for enterprises to customize large language models.

Appen recognized as a leader in data annotation by Everest Group in 2024.

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