CES Family of Companies

Backend Engineer

• Design, develop, and maintain backend services using C# and .NET Core.
• Design / Architect and implement microservices that are secure, scalable, and resilient.
• Work with RDBMS (preferably PostgreSQL or SQL Server) to design efficient schemas, queries, and stored procedures.
• Collaborate with cross‑functional teams, demonstrating exceptional communication skills to translate technical concepts into actionable insights.
• Utilize AI coding assistants (Copilot, ChatGPT Codex, Claude Code) to enhance productivity, code reviews, and solution design.
• Manage source control and CI/CD pipelines with GitHub.
• Track and manage tasks effectively using Jira.
• Develop and debug applications in Visual Studio / Visual Studio Code.
• Deploy, monitor, and optimize services on AWS cloud infrastructure.

Senior AI Native Backend Developer

Full-stack Engineer

• Develop and maintain complex, high‑performance React + TypeScript applications using modern frontend patterns.
• Architect reusable UI components and frontend modules with strong focus on performance, accessibility, and long‑term maintainability.
• Implement responsive, pixel‑perfect UIs based on Figma designs and UX specifications.
• Manage application state using modern tools such as Redux Toolkit, Zustand, Recoil, or equivalent.
• Optimize bundling, code‑splitting, lazy loading, and asset delivery to achieve best‑in‑class web performance.
• Ability to design efficient GraphQL queries, mutations, caching strategies, and client‑side schema management.

Senior Software Engineer

QA Engineer

• Participate in the agile development scrum team by leading and performing the necessary software testing functions.
• Increase the quality of the products and client ultimate experience.
• Construct, document, and perform various manual and automated testing efforts.
• Work on a wide array of projects.

Lead QA Engineer

DevOps Engineer

• Design, develop, and maintain advanced Azure DevOps YAML pipelines for CI/CD automation.
• Write and maintain robust PowerShell scripts for automation, monitoring, and deployment tasks.
• Develop and manage infrastructure as code (IaC) using Bicep for Azure resource provisioning.
• Operationalize GitHub Copilot to ground code generation, improving speed and accuracy of feature delivery.
• Take complete ownership of assigned tasks, including requirement analysis, implementation, documentation, and support.
• Collaborate with cross-functional teams to understand deployment needs and deliver scalable DevOps solutions.
• Proactively monitor and support development, testing, and production environments, ensuring high availability and minimal downtime.
• Troubleshoot and resolve issues across the DevOps lifecycle, including build failures, deployment errors, and infrastructure problems.
• Continuously improve DevOps practices, tools, and processes to enhance team productivity and system reliability.
• Monitor and optimize infrastructure performance, cost, and security.
• Mentor junior engineers and contribute to knowledge sharing within the team.

Senior Cloud DevOps Engineer

• Manage software development lifecycle through coding, testing, and deployment
• Collaborate with teams and stakeholders
• Ensure high-quality software and resolve performance issues
• Lead CI/CD process and update progress in Jira
• Maintain effective communication throughout project lifecycle

Lead Software Engineer

• Leverage AI agents/tools to assist in code generation, refactoring, and debugging
• Acquire new skills and techniques and apply them within assigned engineering tasks
• Perform analysis and troubleshooting of complex software constructs
• Participate in defining coding standard practices and procedures for adoption by the team and technology organization
• Lead the research, design, and development efforts of moderately complex software components
• Construct unit tests over complex algorithms to ensure a high degree of quality in code
• Collaborate with other engineers on the team and across the technology organization
• Participate in reviewing and providing feedback on complex code algorithms
• Author complex technical documentation and design sketches at a feature level
• Provide high level estimates at an epic level
• Participate in functional requirements review with Product Owner
• Recognize and adjust when a task is becoming a time-sink
• Help others see that quality is critical to the success of a project
• Encourage the team to stay focused and on track moving towards the team sprint commitment

AI Native Full Stack Developer

• Demonstrate the ability to acquire new skills and techniques and apply them within assigned engineering tasks
• Perform analysis and troubleshooting of complex software constructs
• Participate in defining coding standard practices and procedures for adoption by the team and technology organization
• Lead the research, design, and development efforts of moderately complex software components
• Construct unit tests over complex algorithms to ensure a high degree of quality in code
• Receive direction and coaching from more experienced engineers and mentor less experienced engineers
• Collaborate with other engineers on the team and across the technology organization
• Participate in reviewing and providing feedback on complex code algorithms
• Author complex technical documentation and design sketches at a feature level
• Provide high level estimates at an epic level
• Participate in functional requirements review with Product Owner
• Able to recognize and adjust when a task is becoming a time-sink
• Help others see that quality is critical to the success of a project
• Encourage the team to stay focused and on track moving towards the team sprint commitment
• Ask probing/clarifying questions during a discussion to ensure all ideas are vetted
• Represent the team in cross-functional meetings
• Respectfully identify potential "trouble spots" with other's ideas during discussions

Lead Developer – Asp.net Webforms

• Own test automation across regression, integration, and performance layers
• Design test plans aligned to Sprint stories and feature releases
• Use Selenium, Playwright, or similar tools with Dynamics & Power Apps
• Define and enforce KPIs per page (e.g., Page Load < 1 sec)
• Integrate QA checkpoints into CI/CD pipelines

Quality Engineer, D365, Playwright Automation

• Customize and extend D365 CE modules using Power Apps, JavaScript, and C#
• Build and maintain Power Automate flows and integration endpoints
• Work on Sprint-based deliveries with clear unit testing and version control.
• Contribute to portal build-outs using Power Pages (with UX team)
• Collaborate with QA and BAs for feature validation and deployment

Senior Software Engineer, D365

• 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

• 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

• 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.