JOB DESCRIPTION:

• 8+ years of strong Java development experience (Core Java, Memory Management, Design Patterns)
• Strong hands-on implementation experience with Spring framework, Webservices, Restful APIs
• Experience with implementing Microservices (also Architecture)
• Experience with CI/CD Deployments using Kubernetes
• Experience with designing and building POCs as required for new business requirements · Experience with AliCloud in building Cloud Native applications.

Required Skills

• Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges.
• Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Create multi-agent systems and equip AI models with function/tool-calling capabilities
• Design and implement RAG systems to ground AI responses in enterprise data
• Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability
• Optimize agentic workflows and AI agents for production use cases
• Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputs
• Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them
• Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

KEY FEATURES OF THE POSITION

Functional / Technical

· Lead and mentor testing teams for functional testing, regression, automation, NFR for large Temenos T24 projects in the Private banking domain.

· Test planning and execution including the test design, data management, environment planning, automation, non-functional testing, regression, defect management and test closure

· Review and analyse Business requirements and system specifications to define test approach, scope and test plan.

· Work collaboratively with various team to achieve goals.

· Status reporting and able to drive the defect management across multiple teams.

· Proactively raise issues, risks and recommend optimal solutions.

· Work with the BA and Dev teams to drive even the upstream software quality (Requirements, Development Solutions)

SKILLS REQUIREMENTS OF THE POSITION

· Minimum 15+ years of experience in test lead role for T24 projects, preferably with Private Banking

· Good knowledge of CORE modules

· Excellent knowledge of T24 modules for these domains

· Excellent knowledge of and exposure to testing of T24 integration, COB testing, Client output

· Excellent knowledge of SWIFT message testing, regulatory reports

· Expertise in financial accounting for all asset types

· Expertise in working on Agile methodologies such as Scrum / Kanban / SAFE

· Good know how of JAVA and experience in Automation, DevOps is an advantage

· Understanding / Experience of Automation tools (Selenium) and DevOps concepts to drive Automation in projects.

· Agile planning tools – JIRA, Confluence

Job Overview

We are seeking an experienced Senior Data Engineer with strong expertise in enterprise Data Warehousing, Big Data platforms, Data Lake architectures, and modern cloud technologies. The ideal candidate will have hands-on experience designing and implementing large-scale ETL/ELT pipelines, data transformation frameworks, and analytics solutions within banking, financial services, or large enterprise environments.

The role requires deep technical knowledge of Apache Spark, PySpark, Hadoop ecosystems, Teradata, Cloud Data Platforms, and emerging Generative AI technologies for intelligent data processing and automation. The candidate should be capable of driving end-to-end data engineering initiatives, supporting business intelligence, analytics, regulatory reporting, and AI-enabled data solutions.

Key Responsibilities

• Design, develop, and optimize enterprise Data Warehouse and Data Lake solutions.
• Build scalable ETL/ELT pipelines using Python, Spark, and PySpark.
• Develop and maintain data ingestion, transformation, and analytical data processing frameworks.
• Implement data integration solutions across structured, semi-structured, and unstructured data sources.
• Manage large-scale data platforms using Hadoop, AWS S3, Azure Databricks, and Cloud Data Services.
• Develop data marts and business intelligence datasets for analytics and reporting.
• Implement metadata management, data lineage, and governance frameworks using tools such as Collibra and Enterprise Data Catalog.
• Design and optimize Spark SQL workloads for high-performance analytics.
• Build automated workflow orchestration solutions using Airflow, Control-M, or equivalent scheduling platforms.
• Integrate Generative AI capabilities into data engineering workflows for metadata tagging, data classification, anomaly detection, and intelligent reporting.
• Collaborate with business stakeholders, architects, data scientists, and analytics teams to deliver scalable data solutions.
• Ensure data quality, governance, security, and compliance requirements are met.
• Support production systems, troubleshoot performance issues, and maintain SLA compliance.

Required Skills

Data Engineering

• Apache Spark
• PySpark
• Spark SQL
• Python
• SQL / PL-SQL
• Hadoop HDFS
• Data Warehouse Design
• Data Lake Architecture
• ETL / ELT Development
• Dimensional Modeling
• Star Schema & Snowflake Schema

Cloud & Big Data

• AWS S3
• Azure Databricks
• GCP BigQuery
• Cloudera Data Platform
• Kafka
• Parquet
• Alluxio

Data Governance

• Collibra
• Enterprise Data Catalog (EDC)
• Metadata Management
• Data Lineage
• Data Quality Management

DevOps & Automation

• Airflow
• Control-M
• Jenkins
• GitLab
• Bitbucket
• CI/CD Pipelines

Generative AI

• OpenAI API
• Claude API
• LangChain
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Databases (Pinecone, ChromaDB)

Preferred Experience

• 10+ years of Data Engineering experience.
• Banking, Financial Services, or Insurance domain experience.
• Experience working with Teradata Data Warehouses.
• Hands-on experience in Data Lake modernization initiatives.
• Experience delivering regulatory reporting and compliance data solutions.
• Exposure to AI-enabled data platforms and intelligent analytics solutions.
• Experience supporting enterprise-scale production environment

We are seeking a highly skilled Senior Software Engineer with strong expertise in Java and AWS cloud technologies to design, develop, and maintain scalable enterprise applications. The ideal candidate will have hands-on experience in microservices architecture, cloud-native development, and DevOps practices, delivering high-performance solutions in a fast-paced environment.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Java and Spring Boot.
• Build and deploy cloud-native solutions on AWS.
• Develop RESTful APIs and microservices-based architectures.
• Collaborate with business stakeholders, architects, and cross-functional teams to define technical solutions.
• Optimize application performance, scalability, and security.
• Implement CI/CD pipelines and automate deployment processes.
• Perform code reviews and mentor junior developers.
• Troubleshoot production issues and provide timely resolutions.
• Ensure adherence to software development best practices and coding standards.

Required Skills & Experience

• 5+ years of software development experience with Java.
• Strong expertise in:Java 8/11/17Spring Boot, Spring CloudMicroservices ArchitectureREST APIsHibernate/JPAMaven/Gradle
• Hands-on AWS experience with services such as:EC2ECS/EKSLambdaS3RDSDynamoDBAPI GatewayCloudWatchIAMVPC
• Experience with Docker and Kubernetes.
• Strong knowledge of CI/CD tools (Jenkins, GitLab CI, GitHub Actions).
• Experience with Git version control.
• Strong understanding of Agile/Scrum methodologies.
• Excellent problem-solving and communication skills.

Preferred Skills

• Experience with Kafka or RabbitMQ.
• Infrastructure as Code (Terraform, CloudFormation).
• AWS Certifications (Developer Associate, Solutions Architect).
• Experience with distributed systems and event-driven architectures.

Experience: 4–5 years of Full Stack Java Development in a containerized microservices architecture using Java/Spring Boot, with strong UI/UX development experience in React.

- Microservices & Cloud: Hands-on experience with Kubernetes and AWS.

Backend Development:

- Java EE Framework: Spring Boot

- ORM Framework: Hibernate

- Database: MySQL and/or MongoDB (Open Source)

- Application Server: Spring Boot

- Web Server: JBOSS Web Server

Frontend Development:

- React 18+ - HTML5/CSS (knowledge of web page design is a plus) Development Tools & Platforms:

- IDEs: VS Code, IntelliJ

- Repository: GitHub

- Issue Tracking: JIRA

- CI/CD: Jenkins

- At least 5 years experience with configuration and security analysis module

- Define security policy and validate configuration items of managed SAP landscape

- Familiar with alerting capablitiies for proactive security manage-ment

- Knowledge of integration with Guided Procedure to automate secu-rity check and assess effectiveness of security measures - Knowledge of Simple Diagnotiss Agent (SDA) and CCDB availa-ble in Focused Run

- Knowledge of XML programming languages used in Focused Run policies

We are looking for a skilled DevOps/DevSecOps Engineer with 5+y to manage CI/CD pipelines and ensure secure, smooth deployments on Azure data platforms.

Key Responsibilities:

• Build and manage CI/CD pipelines (Dev → UAT → Prod)
• Automate deployments for Azure Databricks & ADF
• Implement security controls and access management
• Handle release processes and ensure audit compliance
• Work with cross-functional teams as SPOC

Required Skills:

• Azure DevOps, CI/CD pipelines
• Azure Databricks & Azure Data Factory (ADF)
• Git, version control
• Azure Key Vault (secrets management)
• Basic DevSecOps & security practices

· Azure Data Factory (ADF) – metadata-driven pipelines

· Basic Cloudera working knowledge

· Cloudera → Cloud migration (mandatory)

· Large-volume historical data migration

· Azure Databricks (Spark / SQL)

· Data reconciliation and audit sign-off

· Framework-based data ingestion / migration

Good-to-Have

· Azure Data Box–based migration experience

· Bulk history extraction using Data Box

· Landing data into ADLS Gen2

· Processing history in Databricks (Delta)

· Orchestrating incrementals via ADF

• Minimum of 3-5 years experience in the areas of SAP vulnerability scanning, SAP Enterprise Threat Detection patterns creation and Alert monitoring
• Deep technical knowledge in Threat Modelling and IT Risk Assessment projects
• Experience in SAP Application Security
• Participation in Integration Testing, troubleshooting and technical issue resolution
• Excellent verbal & written communication skills, interpersonal skills, and analytical skills

1) Experience that will demonstrate proficiency and ease with one or more programming languages, quality assurance, scripting languages and operating systems.

2) Solid hands-on development experience in backend technologies including JAVA, J2EE, SQL and related technology stack, preferably incorporating open source libraries.

3) Hands-on experience to Spring Framework, Spring Boot, MongoDB and JPA / Hibernate is a strong plus.

4) Exposure to frameworks like Karate and TestNG is good to have to carry out QA tasks. Some knowledge of test automation frameworks is also a strong plus.

5) Strong foundation expected in data structures, algorithms, problem solving and complexity analysis. 6) Strong designing, analytical, programming & communication skills needed, along with aptitude for building stable solutions.

7) Knowledge about writing unit test cases using frameworks like JUnit / TestNG is desired.

8) Some demonstrated experience with n-tier web application development and experience in latest JDK is desired. Java / J2EE certification is a Plus. Experience with web services standards and related technologies (XML, JSON, REST, SOAP, WS*, AXIS, JERSEY) is nice to have.

9) Demonstrable experience utilizing object-oriented patterns and design best practices is a strong plus.

10) Exposure to tools like Postman / any REST Client is desired. LINUX skills are required.

11) Exposure to frameworks like Karate and TestNG is good to have to carry out QA tasks. Some knowledge of test automation frameworks is also a strong plus.

12) Working knowledge of Continuous Integration / Delivery, and Test Driven Development is good to have.

13) Knowledge in micro services and hands-on experience on container platforms like Kubernetes, Docker and OpenShift would be a strong plus.

14) Hands on experience in distributed architecture & data streaming approaches like Kafka and RabbitMQ is a strong plus.

· 5+ years of experience with Java applications, SQL/NoSQL, Handling Production operations.

· Experience working with any log analysis tools and observability applications like Grafana, Prometheus, Splunk.

· Excellent communication, collaboration, and problem-solving skills

· Knowledge on Docker/Kubernetes, Caching, Kafka etc.

Job Description: Test Lead – Front Office OEMS

Role Summary

The Test Lead for the Front Office OEMS(Order and Execution Management System) project is responsible for leading end-to-end testing activities across the OEMS platform, ensuring functional accuracy, system stability, and regulatory compliance. The role partners closely with Front Office users, product owners, technology teams, and vendors to deliver a high-quality trading solution supporting critical order and execution workflows.

Key Responsibilities

Test Strategy & Planning
- Define, own, and execute the overall test strategy for Front Office OEMS implementations.
- Develop comprehensive test plans, schedules, effort estimates, and test approaches aligned with program milestones.
- Ensure full testing coverage across business workflows, integrations, and non-functional requirements.

Functional & Business Testing
- Lead testing of end-to-end trading workflows, including order creation, routing, execution, amendments, cancellations, allocations, and booking.
- Validate integration with market venues, OMS/OEMS interfaces, trading screens, pricing feeds, risk platforms, and Middle/Back Office systems.

Defect & Quality Management
- Own the end-to-end defect lifecycle, including triage, prioritization, root-cause analysis, and closure.
- Provide clear test status reporting, quality metrics, and risk assessments to project and senior stakeholders.

Cutover Planning, Migration & Go-Live Readiness
- Plan and drive cutover testing strategy, including definition of cutover scenarios, validation checkpoints, rollback considerations, and success criteria.
- Coordinate and execute cutover rehearsal cycles, parallel runs, and dry runs to ensure production readiness.
- Ensure all pre-cutover, during-cutover, and post-go-live validation activities are clearly planned and signed off.
- Work closely with business, technology, and vendor teams to ensure minimal business disruption during migration and go-live.

Automation & Regression
- Drive test automation and regression strategy for high-risk and business-critical Front Office flows.
- Maintain robust regression suites to support ongoing releases and hotfixes.

Stakeholder & Vendor Management
- Act as the single point of accountability for testing within the OEMS program.
- Manage dependencies and coordination with external vendors and internal technology teams.
- Lead and support User Acceptance Testing (UAT) and facilitate business sign-off.

Team Leadership & Governance
- Lead and mentor onshore/offshore test teams.
- Ensure adherence to SDLC, testing governance, audit, and regulatory requirements.

Experience

- Minimum 12 years of experience in software testing within financial services applications.
- Strong experience with Front Office and trading platforms such as SimCorp, Murex, Trading Screen, FlexTrade, or similar systems.
- Proven experience in large-scale system implementation programs.
- Strong vendor coordination experience across multiple stakeholders.
- Demonstrated experience in planning and strategizing cutover and migration activities for financial services applications.

Educational Qualification

- Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field.
- ISTQB or equivalent testing certification is highly desirable.

Strong Business Analyst experience on complex technology initiatives in financial services or asset management.
• Solid understanding of Front Office trade lifecycle and L&R / compliance requirements.
• Proven experience translating business requirements into functional and technical specifications.
• Experience working with multiple vendors and complex system integrations.
• Strong analytical mindset, attention to detail, and ability to identify scope gaps and edge cases.

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