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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining HR applications, with a strong focus on data analytics, AI/ML technologies, and stakeholder communication. Proficient in managing vendor products and integrating various technologies to optimize HR processes.
Highest-signal resume keywords
Java ProgrammingPython ProgrammingAI & ML TechnologiesData ManagementMicroservices Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
JavaPythonJavaScriptReactData Warehouse DesignETL ToolsAdvanced SQLDatabase DevelopmentData ModelingAI-Assisted Development
Soft Skills
Problem-SolvingInterpersonal SkillsAnalytical Skills
Tools & Technologies
GitHub CopilotClaudeDockerKubernetesHelmRancherGitLabJenkinsConfluenceSharePoint
Industry Keywords
HR ApplicationsData AnalyticsLLM IntegrationsCI/CDHR Data Model
Tech Stack
Tools & technologiesDockerETLJavaJenkinsKubernetesMicroservicesMS SQL ServerOraclePythonReactSnowflakeSQL
About the role
Key responsibilities & impact- Develop and maintain global HR applications
- Manage and support HR business applications, including problem resolution and issue ownership
- Support data analytics and data science initiatives using optimized data structures and AI/ML tools
- Manage vendor products and integrations with internal and external applications
- Gather requirements and translate functional needs into technical specifications
- Perform QA and impact analysis when rolling out HR system enhancements
- Maintain system documentation and knowledge repositories
- Provide technical guidance and manage stakeholder communications
Requirements
What you’ll need- Bachelor’s degree in computer science or engineering or equivalent with 5+ years of experience
- Minimum of 3 years of experience with multiple technologies focusing on Java, Python, Java Script, React
- Minimum of 2 years of experience with AI & ML technologies, including tuning models and building LLM integrations
- Strong hands-on experience with data management, data warehouse/data lake design, data modeling, ETL tools, advanced SQL and Python programming
- Proficient in AI-assisted development using GitHub Copilot and Claude or equivalent LLM-based tools
- Experience prompting, evaluating, and integrating LLMs into development workflows and production applications
- Experience with microservices architecture, Docker, Kubernetes, Helm, and Rancher
- Extensive database development experience in MS SQL Server, Oracle, and SQL scripting
- Working knowledge of CI/CD tools, primarily GitLab and Jenkins
- Proficiency with Confluence, SharePoint, and JIRA
- Analytical skills to model business functions, processes, and dataflow
- Strong problem-solving skills for complex, time-critical production incidents
- Interpersonal skills to engage with senior stakeholders in functional business units and IT teams
- Experience with Snowflake and knowledge of HR data model would be a plus
Benefits
Comp & perks- Sign-on bonus
- Restricted stock units
- Discretionary awards
- Medical benefits
- Financial benefits
- Other benefits
- 401(k) eligibility
- Vacation time
- Sick time
- Parental leave
