ServiceNow Tech Lead
CRG - Triad
ServiceNow Tech Lead
Location: Remote with monthly travel to Charlotte, NC
Duration: 6-month Contract with potential to extend
Pay: $60-65/hour W2 JOB DESCRIPTION
Our global Fortune 500 client, with U.S. headquarters in Charlotte, NC, is a world class food service provider with a strong presence across the nation. Celebrating almost 30 years in North America, this employee-focused company has received honors for diversity and inclusion, innovation, health and wellness, and company culture. CRG has successfully placed over 220 employees within the last 7 years within this organization, known for its continuous growth opportunities, fantastic benefits package, innovative technology, flexible work environment, and collaborative culture. RESPONSIBILITIES
#LI-MD1
Location: Remote with monthly travel to Charlotte, NC
Duration: 6-month Contract with potential to extend
Pay: $60-65/hour W2 JOB DESCRIPTION
Our global Fortune 500 client, with U.S. headquarters in Charlotte, NC, is a world class food service provider with a strong presence across the nation. Celebrating almost 30 years in North America, this employee-focused company has received honors for diversity and inclusion, innovation, health and wellness, and company culture. CRG has successfully placed over 220 employees within the last 7 years within this organization, known for its continuous growth opportunities, fantastic benefits package, innovative technology, flexible work environment, and collaborative culture. RESPONSIBILITIES
- The Tech Lead will tightly partner with the Product Manager of the pod to collectively enable successful product delivery - alignment of technical execution to achieve business goals and outcomes
- Anchors the technical integrity of the product, guiding engineering decisions and feasibility
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- Determines HOW the product will be built efficiently, securely and scalably
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- Leads architectural decisions, code quality and engineering best practices
- Architectural decisions should be made based on standards and guidance provided by Data & Solutions Architect(s)
- Leads architectural decisions, code quality and engineering best practices
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- Owns technical delivery and quality
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- Supports technical team growth, removes, technical blockers, and ensures engineering velocity
- Includes but is not limited to:
- Day-to-day technical execution with 'team/pod'
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- Team Guidance in 'Breaking Down the Work'
- Support in translating high-level requirement into technical tasks and stories
- Assess complexity & effort
- Support in translating high-level requirement into technical tasks and stories
- Team Guidance in 'Breaking Down the Work'
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- Collaborates with engineers and technical resources other teams
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- Includes Entire Vendor Domain:
- Back-end Infrastructure/MDM/Data Pipelines/etc
- Service Now Internal/External requirements
- Dev-Ops requirements
- Cross-functional Requirements (S4/Adams/SSO/etc)
- Includes Entire Vendor Domain:
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- Oversees Spike work
- Oversees proper technical documentation in Confluence
- Define and enforce technical standards, best practices, arch guidelines
- Design and define Vendor Enterprise Architecture (end-to-end) in partnership with the Data & Solutions Architect(s)
- Close partnership with Dev-Ops to ensure work is scoped and meets requirements
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- Will also pick-up work/stories/tasks (50% of time hands-on-keyboard)
- Scalability, Security, and Performance - Technical Roadmap
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- Mitigating technical debt
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- Identify and mitigate technical risks or bottlenecks in development
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- Defect Triaging and troubleshoot critical issues and guide resolution
- Perform code reviews, UAT Testing Plans, ensure robust testing
- Drive continuous integration best practices
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- Support team growth and support
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- Identify and surface gaps in resources (expertise and quantity)
- Bachelor's degree required.
- 5+ years of experience in cloud architecture, data engineering, or solution development in AWS environments.
- 2+ years in a technical leadership role, overseeing architecture decisions and mentoring developers.
- Expertise in core AWS services: S3, Lambda, Glue, Redshift, DynamoDB, API Gateway, Step Functions, Aurora.
- Proficient in Python for scripting, automation, and ETL development.
- Familiarity with microservices architecture, API design, and serverless computing models.
- Solid understanding of DevOps practices including CI/CD, observability, and infrastructure automation.
- Experience managing delivery using Agile, Scrum, or SAFe methodologies.
- Exposure to Master Data Management (MDM) platforms such as Informatica, Reltio, or Stibo.
- AWS certifications (e.g., Solutions Architect, DevOps Engineer, Data Analytics).
- Knowledge of modern data stack and Lakehouse architecture (e.g., Lake Formation, Athena, Snowflake).
- Familiarity with metadata management, data quality frameworks, and data governance.
- Understanding of data privacy and compliance (GDPR, CCPA).
- Integration experience with enterprise systems and tools like ServiceNow.
#LI-MD1
Vacancy posted 3 days ago
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