Technical Consultant

Role overview:

The individual in this role will be responsible for developing, enhancing, and maintaining multiple applications and data products within the Staffing Systems ecosystem. This includes supporting real-time business operations, improving system stability, enhancing application features, analyzing business and data requirements, and collaborating closely with cross-functional technical and business teams. The role also involves proactive communication with stakeholders and ensuring reliable service delivery across platforms.

Service Delivery

• Triaging incoming application-related issues, categorizing them accurately, assigning appropriate priorities based on business impact, and maintaining up-to-date ticket information.
• Escalating complex or high-impact issues to L2/L3 engineering teams or development squads after performing initial analysis.
• Working on enhancements and production fixes.
• Providing first-level troubleshooting and operational support for applications, addressing user queries, clarifying usage instructions, and assisting with product functionality questions.
• Updating internal documentation, maintaining runbooks, and creating knowledge base articles, FAQs, and troubleshooting guides for supported applications and data services.
• Collecting and presenting application performance metrics, user feedback, pipeline health, and system reliability data through dashboards and reports.
• Collaborating with development, data engineering, and operations teams to continuously improve application features, data pipelines, support workflows, and user experience.
• Maintaining the Jira backlog for assigned applications, ensuring tickets are refined, prioritized, and aligned with business goals.

Expectations

• Lead the onboarding process for new applications, integrations, data pipelines, or major feature updates, including requirement analysis, planning, and knowledge transfer.
• Maintain ongoing communication with product managers, engineering teams, and stakeholders to ensure alignment of support processes and feature development.
• Propose and implement process improvements or kaizen initiatives to enhance system reliability, operational efficiency, and user satisfaction.
• Contribute to automation initiatives to reduce manual operational work across application support, deployment, and data workflows.
• Participate in internal service center operations and collaborate with internal stakeholders across global time zones.

Requirements

• Ability to quickly understand new business processes, system architectures, and application/data workflows.
• Strong communication and collaboration skills to work effectively with cross-functional engineering, product, and operations teams.
• Flexibility to adapt to changing priorities across multiple applications and data products.
• Proficiency in English reading and writing.
• Familiarity with application lifecycle management, ticketing systems (e.g., Jira), and structured troubleshooting processes.
• Understanding of business analysis principles or equivalent methodologies for application and data pipeline management.
• Excellent verbal and written communication skills for documentation, stakeholder interactions, and reporting.

Technical Skills Core Requirements

• Application Development & Maintenance (Jigsaw Platform)
• Ruby, Ruby on Rails, Puma, Nginx
• Java, Spring Boot
• React, JavaScript, TypeScript, Node.js
• PostgreSQL
• Pulumi, Docker
• Amazon ECS, Amazon Lambda
• CircleCI
• Staffing Data Product / Data Pipeline
• Python, Java
• GCP IAM, GCP BigQuery, GCP Cloud Run, GCP Cloud Functions
• CircleCI
• Nice-to-Have Skills
• Strong ability to understand and address real user needs and business workflows.
• Ability to work effectively in a fast-paced environment with shifting priorities.
• Prior experience supporting or developing multiple applications or data systems simultaneously.
• Knowledge of basic debugging, log analysis, and issue resolution in distributed systems.
• Experience with RESTful API design and integration.
• Familiarity with infrastructure-as-code tools such as Terraform or Pulumi.
• Exposure to AWS and Google Cloud Platform technologies