CES Family of Companies

Full-stack Engineer

• Leverage AI agents/tools for code generation, refactoring, and debugging
• Perform analysis and troubleshooting of complex software constructs
• Participate in defining coding standards for the team
• Lead design and development of moderately complex software components
• Construct unit tests over complex algorithms
• Collaborate with other engineers and provide feedback on complex code algorithms
• Author technical documentation and design sketches
• Provide high-level estimates for projects

AI Native Lead Developer – Full stack

QA Engineer

• Adopt AI-Driven Testing Workflows
• Use AI-powered tools and copilots to design, execute, and optimize functional test cases, improving coverage and reducing repetitive effort.
• Intelligent Test Design & Generation
• Leverage LLM-based tools (e.g., ChatGPT, Testim, Mabl, or similar) to automatically generate and maintain functional test scenarios from user stories, requirements, or code changes.
• Test Execution & Automation
• Execute both manual and automated functional tests; use AI to detect redundant or flaky tests, and to suggest automation candidates.
• AI-Assisted Defect Analysis
• Use AI tools to analyze defect patterns, identify root causes faster, and recommend preventive actions or fixes.
• Test Data Management
• Employ AI tools to generate realistic, synthetic test data while preserving privacy and edge-case coverage.
• Continuous Improvement & Documentation
• Use AI copilots to document test results, generate reports, and maintain test scripts with minimal manual effort.
• Collaboration & Reporting
• Work closely with Product, Dev, and DevOps teams to integrate AI-driven insights into sprint cycles; present QA metrics enhanced by AI analytics.
• Experiment & Evaluate Tools
• Continuously explore new AI/ML-powered testing tools, evaluate their effectiveness, and recommend adoption strategies.

Senior Software Quality Engineer

Backend Engineer

• Design, develop, and customize solutions in Dynamics 365 CE Customer Service & Omnichannel
• Build and deploy PVA chatbots integrated with Customer Service channels
• Configure and support Contact Center service flows (voice, chat, email, social channels)
• Collaborate with functional consultants to translate business requirements into technical solutions
• Ensure compliance with security roles and access control in CE applications
• Provide technical support, troubleshooting, and performance optimization

Technical Architect – Dynamics 365

AI Engineer

• Own end-to-end development of LLM features: problem framing, data prep, prototyping, offline/online evaluation, deployment, and monitoring.
• Build retrieval-augmented generation (RAG) pipelines with vector search (e.g., FAISS, Pinecone, OpenSearch/KNN) and document orchestration.
• Implement prompt strategies, tool use/function calling, and guardrails for safety, bias, and privacy.
• Integrate models in production services (REST/GraphQL/gRPC), including auth, rate limiting, and observability.
• Stand up evals and experiment frameworks (A/B tests, golden sets, regression suites) with clear success metrics.
• Optimize for latency, cost, and quality: prompt compression, caching, model selection, fine-tuning/LoRA, distillation where appropriate.
• Collaborate with DevOps/MLOps/Platform to automate CI/CD, data/version management, and feature flags.
• Embed with CX/Support to mine tickets, chats, and call transcripts; convert VOC into training/eval datasets and backlog priorities.
• Instrument user journeys and define online/offline evals (win rate, hallucination rate, TTR, CSAT/NPS); run A/B tests and ship iterative improvements.
• Build feedback loops (thumbs-up/down, rationale capture, escalation) and human-in-the-loop fallbacks that protect quality.
• Own reliability and UX details that matter for customers: latency budgets, safe fallbacks, clear handoff to human agents, accessibility.
• Partner with Trust/Legal/Security to ensure privacy-by-design and compliant data handling; implement guardrails and red-team mitigations.

Senior AI Engineer

• Lead technical design and development for full-stack solutions.
• Drive migration from legacy technologies to modern stack (ReactJS, .NET Core).
• Ensure adherence to coding standards, security best practices, and CI/CD processes.
• Collaborate with Solution Architect and stakeholders to deliver high-quality solutions.
• Mentor team members and share technical knowledge across teams.
• Participate in Agile ceremonies and ensure timely delivery of sprint commitments.
• Should be able to perform Monolithic to Microservices transition.

Technical Architect – Backend

• Ensure data quality and integrity across the enterprise HCM data platform by designing and executing comprehensive test strategies for data pipelines, transformations, and reporting layers.
• Validate data accuracy from source to target across Bronze/Silver/Gold layers and ensure data meets business requirements and quality standards.
• Design and execute data validation test cases for ETL/ELT pipelines from source (SQL Server) to target (Snowflake).
• Validate data transformations across medallion architecture layers (Bronze → Silver → Gold).
• Perform source-to-target reconciliation testing including record counts, aggregations, and data accuracy checks.
• Test CT (Change Tracking) and incremental load scenarios for data completeness and correctness.
• Validate SCD Type 1 and Type 2 implementations for historical data tracking.
• Test Row-Level Security (RLS) implementations to ensure proper data access controls per persona.
• Create and maintain SQL-based test scripts for automated data validation.
• Perform regression testing when pipeline changes are deployed.
• Validate data quality rules including null checks, referential integrity, duplicate detection, and business rule validations.
• Test data lineage and ensure traceability from source to reporting layer.
• Document test cases, test results, and defects in tracking tools.
• Collaborate with data engineers to identify root causes and verify bug fixes.
• Support UAT by preparing test data and validating business scenarios.

QA Engineer – Data

• Ensure quality and accuracy of BI reports and dashboards for an enterprise HCM data platform.
• Validate visualizations, test report functionality, verify data accuracy against source, and ensure proper security controls are working as expected.
• Design and execute test cases for BI reports and dashboards.
• Validate report data accuracy by comparing with gold layer source data.
• Test visualizations for correctness, formatting, and user experience.
• Verify Row-Level Security (RLS) implementation across different user personas.
• Test report filters, parameters, drill-down, and interactive features.
• Validate calculated fields and LOD expressions against business requirements.
• Perform cross-browser and cross-device testing for embedded reports.
• Test report performance and load times.
• Validate scheduled extract refresh and data update scenarios.
• Test embedded analytics integration in client applications.
• Document test cases, test results, and defect reports.
• Collaborate with BI developers to identify root causes and verify fixes.
• Support UAT by preparing test scenarios and validating user workflows.
• Perform regression testing when reports are modified.

QA Engineer, BI

• Implement, configure, and enhance core functionality within the D365 Sales and Marketing modules.
• Develop robust custom solutions (plugins, custom APIs, web resources) to extend D365 capabilities.
• Design, manage, and optimize data structures to support complex Sales and Marketing processes.
• Connect D365 to various external systems using REST APIs.
• Collaborate in Agile development environments and contribute to CI/CD processes for deployments.

Software Engineer

Frontend Engineer

• Build responsive user interfaces using React.js, Redux, JavaScript/TypeScript, HTML5, and CSS3.
• Build scalable and maintainable UI solutions, ensuring performance, security, and cross-browser compatibility.
• Collaborate with back-end developers and designers to ensure smooth integration of APIs and alignment with UX/UI design principles.
• Stay up-to-date with the latest trends and technologies in front-end development, introducing innovative solutions where applicable.
• Drive continuous improvement in front-end processes, tools, and workflows.

Software Engineer, React

• Designing, implementing, and documenting REST APIs.
• Using OpenAPI (Swagger) specifications to define service contracts.
• Implementing custom request/response flows using Progress WebHandlers.