Synechron

QA Engineer

• Lead end-to-end QA activities for large debit and credit card migration projects
• Develop and execute comprehensive test plans, protocols, and validation scripts
• Conduct root-cause analysis of defects and support incident management
• Collaborate with business analysts, data teams, and technical stakeholders
• Support system upgrades, schema changes, and migration phases

Card & Payments QA Lead – Certification Testing, Data Validation, Schema Compliance

Backend Engineer

• Develop and maintain scalable, secure, and high-performance enterprise applications using Java and front-end frameworks
• Collaborate with product managers, UX/UI teams, and backend developers to translate requirements into technical solutions
• Conduct code reviews and optimize existing codebases for performance and maintainability
• Troubleshoot and resolve technical issues, system bottlenecks, and security vulnerabilities
• Stay current with emerging technologies and incorporate best practices into development cycles

Fullstack Java Developer, React, Spring Boot

Frontend Engineer

• Develop and maintain web applications using React.js for frontend and Node.js for backend
• Design and implement RESTful APIs and microservices
• Work with AWS services (e.g., EC2, S3, Lambda, RDS) for deployment and scalability
• Collaborate with cross-functional teams including designers, product managers, and QA
• Ensure performance, responsiveness, and security of applications
• Participate in code reviews, debugging, and troubleshooting
• Optimize applications for maximum speed and scalability
• Maintain code quality, organization, and documentation

Full Stack Developer, Node, React

Analytics Engineer

• Design, develop, and optimize ETL processes and Power BI reports/dashboards supporting enterprise analytics needs
• Collaborate with business stakeholders to understand reporting requirements and KPIs; translate them into technical specifications
• Build data models and relationships to ensure accurate, scalable, and performant reports
• Automate data pipelines for data refresh, transformation, and integration workflows
• Develop and implement best practices for data security, access control, and documentation
• Monitor report performance, troubleshoot issues, and optimize visualizations for usability and efficiency
• Support data governance efforts, audit compliance, and documentation standards
• Stay current with advances in Power BI, data management, and analytics technologies, sharing best practices with the team

Power BI, ETL Developer – Data Modeling, Cloud Integration

Project Manager

• Lead end-to-end GenAI project lifecycle, including planning, execution, delivery, and monitoring of PoCs, prototypes, and production solutions
• Manage diversified technical teams across data science, engineering, and DevOps, fostering collaboration and best practices
• Engage with internal and external stakeholders to define project scope, requirements, and success metrics
• Develop project roadmaps, ensure on-time delivery, and manage risks and dependencies proactively
• Oversee technical implementation, including AI model fine-tuning, deployment, and scaling in cloud environments
• Drive automation and operationalization of GenAI workflows, supporting ongoing model monitoring and maintenance
• Ensure compliance with data privacy, security standards, and ethical guidelines in AI deployment
• Conduct research on emerging GenAI techniques and integrate best practices into ongoing projects
• Advocate for continuous learning and knowledge sharing across teams and leadership

GenAI & Project Management Specialist

• Design, develop, and maintain scalable, secure, and high-performance backend services using Node.js and TypeScript
• Build and manage RESTful and/or GraphQL APIs for enterprise-grade applications
• Architect and implement microservices-based solutions and distributed systems
• Develop cloud-native applications leveraging AWS services (Lambda, ECS, API Gateway, S3, DynamoDB, RDS, etc.)
• Ensure code quality through unit testing, integration testing, and code reviews
• Implement CI/CD pipelines and automate deployments using tools like GitHub Actions, Jenkins, or AWS CodePipeline
• Monitor, troubleshoot, and optimize system performance, scalability, and reliability
• Ensure adherence to security best practices and compliance requirements
• Mentor junior developers and contribute to overall engineering excellence

Lead Backend Developer – NodeJS, TypeScript, AWS

Software Engineer

• Develop, enhance, and maintain applications using COBOL, JCL, CICS, and VSAM
• Analyze business requirements and translate them into technical solutions
• Perform coding, testing, debugging, and implementation of mainframe programs
• Work on batch job processing and job scheduling
• Handle production support, incident management, and issue resolution
• Conduct root cause analysis and implement fixes for recurring issues
• Collaborate with cross-functional teams for system enhancements
• Maintain proper documentation for applications and processes

Mainframe Developer, COBOL/JCL

Business Analyst

• Manage and plan the delivery of complex analysis and problem-solving tasks according to specified timeframes
• Synthesise information and elicit requirements using various techniques
• Engage with a diverse range of internal and external stakeholders
• Decompose initiatives into Epics and User stories
• Drive the refinement of stories through to the definition of ready
• Perform data analysis and mapping to support data migration and integration
• Convert business needs into functional designs
• Assist stakeholders in making informed decisions
• Review and contribute to specification documents
• Identify and manage operational and implementation risks and issues

Business Analyst – Payments, Mainframe

Cloud Engineer

• Lead the development of advanced AI agents leveraging AWS Strands SDK, Bedrock AgentCore SDK, and CrewAI, supporting enterprise automation and operational AI use cases
• Develop and execute complex agent logic, troubleshooting workflows, and performance evaluations
• Collaborate with cross-functional teams to convert business requirements into scalable, multi-agent AI solutions supporting automation and data-driven insights
• Design and optimize agent behaviors to support resilience, security, and operational efficiency
• Support the integration of domain-specific data pipelines, external APIs, and observability tools supporting accountability and transparency
• Innovate with prompt engineering, model tuning, and retrieval-augmented generation (RAG) strategies to support operational and decision-making needs
• Enable continuous improvement by evaluating emerging AI frameworks, supporting deployment, and monitoring agent performance in production environments
• Maintain comprehensive documentation on agent architecture, workflows, and operational metrics supporting compliance and scalability

Generative AI Engineer, Python, Large Language Models, Multi-Agent Systems, Cloud Deployment

• Lead and participate in the entire software development lifecycle (SDLC), from requirements analysis and design to testing, deployment, and maintenance.
• Design, build, and maintain efficient, reusable, and reliable code in both Java and C#.
• Translate business requirements into technical solutions and contribute to architectural decisions.
• Guide, mentor, and perform code reviews for junior and mid-level developers to ensure code quality and adherence to best practices.

Senior Java Developer

Data Engineer

• Lead the design, development, and optimization of scalable data pipelines and workflows within Palantir Foundry supporting enterprise analytics and data migration projects
• Build and configure data models, ontologies, and dashboards supporting operational and strategic decision-making
• Collaborate with business stakeholders, data science teams, and technical experts to understand requirements and translate them into effective, scalable solutions
• Support data integration, validation, and reconciliation processes supporting compliance and operational resilience
• Drive automation of data pipelines, model deployment, and system configuration to support continuous delivery
• Document architecture, workflows, and operational procedures supporting transparency and audit readiness

Data Platform Specialist, Cloud Integration, Data Governance

Infrastructure Engineer

• Support and optimize cloud and on-premises infrastructure supporting enterprise applications, ensuring high availability and security
• Automate deployment processes, infrastructure provisioning, and operational workflows supporting CI/CD pipelines
• Monitor system health, troubleshoot incidents, and implement performance or security improvements proactively
• Support system upgrades, patching, migrations, and disaster recovery planning supporting operational resilience
• Collaborate closely with development, security, and operations teams to enforce best practices and support enterprise standards
• Develop and maintain documentation for infrastructure, automation scripts, operational procedures, and security policies
• Implement security controls, patch management, and vulnerability remediation processes supporting compliance requirements
• Drive continuous improvement initiatives supporting automation, effectiveness, and efficiency across operational environments

Cloud Automation and Infrastructure Support Engineer – Cloud Platforms, CI/CD, Security, High-Availability Solutions

• Gather and analyze business requirements
• Prepare functional specifications (BRD/FRD)
• Work closely with development teams on RPGLE-based systems
• Support testing, UAT, and production issues
• Act as a bridge between business and technical teams

Business Analyst, RPGLE

• Support and manage cloud-native platforms, legacy systems, and virtualization environments supporting enterprise applications
• Automate infrastructure provisioning, deployment, and operational workflows using Terraform, CI/CD tools, and scripting
• Troubleshoot technical issues across infrastructure, applications, and systems supporting high availability and security
• Monitor system health, performance metrics, and security logs; support incident management and root cause analysis
• Support application, environment, and infrastructure upgrades and migrations supporting scalability and compliance
• Collaborate with DevOps, security, development, and QA teams to improve platform stability and operational efficiency
• Maintain documentation for deployment workflows, operational procedures, and security controls
• Support support activities, including scheduled maintenance, patching, and release support in a continuous delivery environment

Support Engineer – Cloud Infrastructure, Automation & Enterprise Systems

IT Support

• Provide first-level technical support to end-users across hardware, software, and network issues
• Log and prioritize support tickets with accuracy and detail, following organizational standards
• Troubleshoot common endpoint, software, and network connectivity issues supported by company standards
• Support onboarding and offboarding processes for hardware and software access
• Support remote user requests, including VPN, email, and desktop support activities
• Follow standard operating procedures to resolve issues efficiently and effectively
• Escalate complex incidents to Tier 2 or Tier 3 support teams while providing detailed documentation
• Maintain regular communication with users, stakeholders, and support teams regarding incident status and resolution timelines
• Support hardware inventory updates, access provisioning, and basic system administration activities