Codvo.ai

ServiceNow

• Lead a pod of three ServiceNow developers building the NOC platform.
• Turn the architecture into working scoped apps, flows, and integrations — and stay hands-on in the code.
• Break the architecture into stories for closed-loop ticketing, alarm correlation, and migration work; sequence them across the increment.
• Build and review scoped applications, Flow Designer flows, business rules, and IntegrationHub spokes connecting ServiceNow to the lakehouse, contact center, and NeIO agent layer.
• Own Event Management configuration: event rules, alert correlation, and mapping from network KPIs and alarm sources to troubleshooting guides and incidents.
• Stand up ticket-quality checks: required-data validation, intake quality scoring, and auto-augmentation with site health.
• Stand up Performance Analytics dashboards for real-time NOC views: operational health, KPI trends, and SLA posture.
• Set the developer workflow: branching, update-set or pipeline strategy, code review, ATF tests, and definition of done.
• Run the day-to-day of a three-developer pod: assign work, unblock the team, review every change, and keep delivery on the PI plan.
• Stay hands-on — write the hard integrations and the reference patterns the team copies.
• Work with the Architect on design and with customer data engineering leads on integration contracts.
• Hold the quality bar through code review and ATF coverage; flag scope and timeline risk early.
• A working developer pipeline: branching, review, and ATF in place.
• First closed-loop story shipped to a test instance and demoed.
• Reference patterns documented for the pod to reuse.

ServiceNow Tech Lead

• Build scoped application components: tables, business rules, script includes, UI policies, and Agent/UI Builder workspaces for NOC agents.
• Write integrations against documented contracts: REST, MID Server, and IntegrationHub.
• Test your own work with ATF, fix what review finds, and keep update sets and commits clean.
• Help the migration: move ticket data and workflows onto ServiceNow.

ServiceNow Developer

• Own the end-to-end ServiceNow architecture
• Migration design off legacy ITSM
• Translate operations requirements into a ServiceNow solution design
• Run CMDB/CSDM design
• Make build, buy, and configure decisions
• Review Tech Lead and developer designs
• Serve as technical point of contact to customer

ServiceNow Architect

Data Engineer

• Design and develop CLI tools, scripts, and internal utilities to automate repetitive tasks across the data platform, including:
• Pipeline execution and orchestration
• Data governance workflows
• Metadata synchronization
• Environment setup and configuration
• Test harness development
• Automate workflows on Databricks, including:
• Job deployment and scheduling
• Environment provisioning
• MLOps processes using APIs, Terraform, or Databricks SDK
• Build and implement robust testing frameworks:
• Integration testing for pipelines
• End-to-end validation of ETL/ELT workflows
• Testing and validation for ML inference workflows
• Improve overall productivity, scalability, and reliability of the data and ML engineering ecosystem
• Develop lightweight internal tools and dashboards using frameworks such as React, Streamlit, or similar technologies to:
• Visualize data pipelines and workflows
• Demonstrate model inference capabilities
• Provide configuration and operational controls
• Enable internal productivity monitoring and dashboards
• Collaborate with cross-functional teams to identify automation opportunities and implement best practices

Senior Data Engineer – Full Stack

Full-stack Engineer

• Act as the technical lead for a scrum team building software
• Design and evolve end-to-end architecture
• Lead integration with internal teams
• Provide technical guidance to engineers

Senior Technical Lead

AI Engineer

• Design and build AI agent pipelines and maintain RAG systems
• Integrate and optimize Large Language Models and structured output workflows
• Design, develop, and deploy product features and scalable backends
• Collaborate with clients and stakeholders to translate business requirements into software solutions
• Own observability and quality metrics for AI systems

Senior AI Engineer – Full-Stack

SDET

• Coordinate QA activities across all Neio Project products
• Own QA planning, work allocation, and test execution tracking
• Guide QA resources on test coverage and automation standards
• Review test cases and execution results
• Ensure timely QA sign-off inputs for releases

Senior QA Automation Engineer, AI

Product Manager

• Own the vision, roadmap, and strategy for NeIO GIS product line.
• Identify high-value use cases across GIS workflows such as: Spatial analytics & querying, Asset mapping & monitoring, Network planning & optimization, Land management, utilities, O&G, infrastructure use cases
• Bring deep understanding of: GIS data models (layers, features, spatial queries) and Platforms like ArcGIS, QGIS, PostGIS, Mapbox, etc
• Define and manage product backlog, feature roadmap, and release plans.
• Work closely with Engineering, AI, and Design teams to: Define clear requirements, Drive execution, Ensure scalability and usability
• Prioritize features based on: Business value, Customer demand, Technical feasibility
• Ensure production readiness, UAT validation, and quality of releases.
• Define product positioning, ICP, and value proposition
• Lead implementation and deployment of GIS solutions for enterprise clients. Ensure: Clear requirement capture, Alignment between product and client needs, Smooth execution and delivery
• Oversee UAT, client feedback, and production rollout.
• Act as a bridge between product and delivery teams.
• Stay updated with trends in: GIS & geospatial technologies, AI in spatial analytics, Industry-specific GIS applications (O&G, utilities, telecom, etc.)