Synechron

Backend Engineer

• 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

QA Automation Engineer

• Lead the design, development, and maintenance of automation frameworks supporting system testing, monitoring, and operational workflows
• Develop and execute automated tests, monitoring scripts, and deployment checks supporting CI/CD and agile practices
• Collaborate with development, QA, and operations teams to enhance system stability, scalability, and performance
• Automate routine operational tasks, alerting, and incident response workflows supporting proactive maintenance and faster response times
• Support cloud deployment, environment scaling, and system upgrades to optimize performance and resilience
• Conduct root cause analysis of failures, bottlenecks, and security issues supporting continuous improvement
• Maintain comprehensive documentation of automation frameworks, processes, and operational procedures
• Evaluate new tools, frameworks, and industry best practices to improve automation, testing, and monitoring effectiveness

SRE & Automation Engineer – Cloud Monitoring, Infrastructure, Incident Management

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

IT Support Specialist – Incident Management, Remote Support, Enterprise Hardware/Software Support

• Design, develop, and maintain scalable Ab‑Initio ETL applications supporting large-scale data integration
• Build and optimize batch and real-time data pipelines for high-throughput data processing
• Translate complex business needs into efficient, robust, and fault-tolerant workflows
• Perform performance tuning, debugging, and tuning of Ab‑Initio graphs and components
• Validate data quality, carry out reconciliation, and ensure adherence to data governance standards
• Collaborate with business analysts, data architects, QA, and operations teams to deliver integrated data solutions
• Conduct code reviews, document workflows, and enforce best practices for scalable ETL design
• Provide production support, conduct root cause analysis, and resolve technical issues promptly
• Maintain technical documentation, data lineage, and metadata repositories
• Stay current with emerging trends, tools, and regulatory requirements impacting data integration

Senior Ab-Initio Developer

• Provide first and second-line support for Java-based enterprise applications, ensuring high availability and performance
• Monitor application health, review alerts, and analyze logs to identify root causes of incidents
• Perform troubleshooting, including log analysis, stack trace interpretation, and configuration review to resolve issues efficiently
• Support incident management activities, document root causes, and communicate status effectively to stakeholders
• Assist in deployment activities, validation post-maintenance, and system upgrades
• Collaborate with development, DevOps, and infrastructure teams to resolve complex technical problems
• Implement and improve automation scripts for incident detection and resolution
• Support database performance tuning, data validation, and troubleshooting activities with SQL Server
• Maintain support documentation, runbooks, and best practices for incident management
• Participate in regular support rotations and off-hours support when necessary

Enterprise Java Support Engineer – Cloud Support, Incident Management, Java, SQL Server, Automation, Security, Monitoring

QA Engineer

• Design, develop, and execute automated test scripts to validate software functionality across different testing types including functional, regression, integration, and performance testing
• Implement and execute API test automation to verify backend services and data integrity
• Collaborate with developers, product managers, and QA teams to understand requirements and refine testing strategies
• Integrate automated tests into CI/CD pipelines to facilitate continuous testing and delivery
• Conduct root cause analysis of test failures, working closely with development teams to troubleshoot and resolve issues

QA Automation Tester

• Lead the development and deployment of Microsoft solutions, ensuring alignment with project scope, schedule, and budget
• Provide technical guidance and mentorship to team members on .NET, SharePoint, Dynamics 365, and Azure projects
• Engage with clients and stakeholders to understand requirements and translate them into effective technology solutions
• Continuously evaluate current Microsoft practices and recommend improvements to enhance delivery efficiency and solution quality
• Foster strong relationships with stakeholders through clear communication and project updates
• Participate in project planning, risk mitigation, and quality assurance activities to ensure timely and successful project completion