About this role
About Valiantys
Here at Valiantys, we are one of the world’s largest Atlassian partners, helping organizations work better through scalable, people-centered solutions. As an Atlassian Platinum Solution Partner with a global footprint, we support customers across industries as they adopt ITSM, Agile at Scale, and modern work management practices. Our teams work at the intersection of strategy and delivery, partnering closely with customers to translate complex business challenges into clear, actionable solutions built on best practices and leading platforms. Join Valiantys and be part of something extraordinary!
Senior Technical Consultant Role Overview
As a Senior Technical Consultant, you will design and deliver high-quality technical solutions across the Atlassian ecosystem, with increasing responsibility for incorporating AI-enabled workflows, automation, and intelligent system capabilities into client environments.
You will work closely with clients and internal teams to translate business requirements into scalable technical implementations, while contributing to architecture, delivery execution, and continuous improvement.
This role serves as a critical bridge between solution design and hands-on implementation, with growing ownership of AI-driven enhancements and modern delivery practices.
Key Responsibilities
1. Client Engagement & Technical Delivery
Support and lead technical delivery for small to mid-sized engagements
Collaborate with clients to understand system configurations, workflows, and technical challenges
Translate business and functional requirements into technical solutions
Serve as a key contributor in solution design and implementation, acting as a secondary technical lead when appropriate
2. Solution Design & Implementation
Design, configure, and implement Atlassian-based solutions (Jira, JSM, Confluence, etc.)
Contribute to defining technical architecture, approaches, and documentation
Build and customize workflows ranging from basic to complex
Develop integrations and extensions based on client requirements and technical specifications
Ensure system performance, scalability, and feasibility within defined architectures
3. AI & Intelligent Automation Enablement
Identify opportunities to enhance client systems using AI and automation capabilities
Implement AI-assisted use cases such as:
Ticket summarization and knowledge generation
Workflow automation and intelligent routing
AI-assisted content creation and documentation
Apply best practices for:
Prompt design and effective AI tool usage
Validation of AI-generated outputs (accuracy, consistency)
Collaborate with senior team members to integrate AI into broader solution architectures
4. Delivery Execution & Technical Problem Solving
Break down technical solutions into tasks and support execution across delivery teams
Analyze and resolve technical issues during implementation
Deploy, configure, and integrate applications based on client requirements
Support cloud environment setup and configuration
Execute and support Server/Data Center to Cloud migrations for small to mid-sized engagements
5. Collaboration & Continuous Improvement
Work closely with Solution Consultants and senior technical leaders to align delivery with client strategy
Share knowledge and support junior consultants when needed
Contribute to documentation, reusable assets, and best practices
Stay current with Atlassian ecosystem updates and emerging technologies, including AI tools
Qualifications
Required
2–5+ years of experience in technical consulting, system implementation, or digital transformation
Strong working knowledge of Atlassian tools (Jira Software, Jira Service Management, Confluence, Bitbucket)
Experience configuring workflows, integrations, and automation within Atlassian environments
Ability to translate business requirements into technical implementations
Strong communication skills across technical and non-technical audiences
Experience producing technical documentation, diagrams, and delivery artifacts
AI-Focused Requirements
Practical experience using AI tools to enhance workflows or delivery (e.g., copilots, automation tools)
Understanding of common AI use cases in enterprise environments (e.g., service management, knowledge systems)
Ability to assess and validate AI-generated outputs for quality and reliability
Familiarity with:
Generative AI tools (e.g., LLM-based assistants)
Prompting techniques and structured usage patterns
AI-assisted automation concepts
Preferred
Experience integrating Atlassian tools with platforms such as Salesforce, ServiceNow, or other enterprise systems
Experience supporting pre-sales or solution design activities
Knowledge of Agile, ITIL, SAFe, or similar frameworks
Experience with cloud migrations and system transformations
Relevant certifications (Atlassian, ITIL, SAFe, etc.)
Success Metrics
Successful delivery of high-quality technical implementations
Effective use of AI and automation to improve efficiency and user experience
Timely resolution of technical challenges and delivery milestones
Quality and clarity of technical documentation and deliverables
Contribution to team knowledge, collaboration, and continuous improvement