Jobs at Luxoft

Project description Our Client is a leading global financial markets infrastructure and data provider. Their purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. We are looking for a hands-on Principal Software Engineer with 12–15 years of experience joining our engineering team. In this role, you will design, build, and maintain scalable, secure, and high-performance backend services and platform capabilities. You will work on modern backend systems using Python, FastAPI, Redis, and cloud-native technologies, while contributing to architecture, API design, performance, reliability, and engineering quality. Experience with Azure Container Apps and Azure Blob Storage is desirable. Familiarity with React and frontend integration patterns is a plus. Responsibilities • Design and develop scalable backend services and APIs using Python • Build high-performance, secure, and maintainable services using FastAPI and similar web frameworks • Own backend architecture, technical design, and implementation for complex systems • Design and consume RESTful APIs with OpenAPI/Swagger specifications • Build reusable backend components, platform services, and integration capabilities • Work with relational and NoSQL databases to design efficient data models and access patterns • Collaborate with product, frontend, platform, QA, DevOps, and security teams to deliver robust solutions • Troubleshoot production issues and drive root cause analysis and long-term fixes • Write unit, integration, and API tests to ensure high code quality and release confidence • Define and promote coding standards, engineering best practices, and CI quality gates • Participate in design discussions, technical refinements, and architecture reviews • Leverage GitHub Copilot to improve productivity, code quality, refactoring, testing, and documentation • Partner with frontend teams to design efficient API contracts and support seamless frontend-backend integration SKILLS Must have • 12–15 years of software engineering experience. Backend Engineering & Python • Advanced Python development experience for production-grade backend systems • Strong experience with FastAPI • Familiarity with similar Python web frameworks such as Flask or Django • Strong understanding of RESTful API design and OpenAPI/Swagger • Experience with async programming patterns using asyncio, async FastAPI, or similar libraries • Strong understanding of request lifecycle, middleware, dependency injection, authentication flows, and error handling • Strong knowledge of software engineering fundamentals, design patterns, data structures, and algorithms • Ability to write clean, maintainable, testable, and production-ready code Platform & Architecture • Strong understanding of backend architecture, microservices, and distributed systems • Experience building scalable backend platforms, reusable services, or internal developer/platform capabilities • Experience with API gateways, service-to-service communication, retries, timeouts, rate limiting, and resiliency patterns • Familiarity with event-driven architecture and messaging patterns Data, Caching & Storage • Strong experience with relational databases such as PostgreSQL • Experience with NoSQL databases where applicable • Hands-on experience with Redis is a plus • Strong understanding of database design, indexing, query optimization, transactions, and data consistency patterns • Familiarity with object storage concepts; experience with Azure Blob Storage is a plus Cloud & Infrastructure • Experience with containerized application development using Docker • Familiarity with Kubernetes or container orchestration platforms • Good understanding of CI/CD pipelines using GitLab pipelines • Experience with cloud-native application development is desirable • Azure experience is good to have, especially with: o Azure Container Apps o Azure Blob Storage • Familiarity with infrastructure-as-code tools such as Terraform AI-Assisted Development • Proficient in using GitHub Copilot for code generation, refactoring, debugging, documentation, and test generation • Good judgment on when to rely on AI suggestions versus manual implementation • Experience integrating Copilot-assisted workflows into day-to-day engineering practices is desirable Nice to have • Familiarity with React and modern frontend development concepts • Understanding of frontend-backend integration patterns and API consumption • Exposure to state management approaches and modern web application architecture • Experience building internal tools, dashboards, administrative portals, or developer-facing applications using React is a plus • Ability to contribute to UI-facing platform capabilities when required and collaborate effectively in full-stack solution design

Project description Our Client is a leading global financial markets infrastructure and data provider. Their purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. We are looking for a hands-on Principal Software Engineer with 12–15 years of experience joining our engineering team. In this role, you will design, build, and maintain scalable, secure, and high-performance backend services and platform capabilities. You will work on modern backend systems using Python, FastAPI, Redis, and cloud-native technologies, while contributing to architecture, API design, performance, reliability, and engineering quality. Experience with Azure Container Apps and Azure Blob Storage is desirable. Familiarity with React and frontend integration patterns is a plus. Responsibilities • Design and develop scalable backend services and APIs using Python • Build high-performance, secure, and maintainable services using FastAPI and similar web frameworks • Own backend architecture, technical design, and implementation for complex systems • Design and consume RESTful APIs with OpenAPI/Swagger specifications • Build reusable backend components, platform services, and integration capabilities • Work with relational and NoSQL databases to design efficient data models and access patterns • Collaborate with product, frontend, platform, QA, DevOps, and security teams to deliver robust solutions • Troubleshoot production issues and drive root cause analysis and long-term fixes • Write unit, integration, and API tests to ensure high code quality and release confidence • Define and promote coding standards, engineering best practices, and CI quality gates • Participate in design discussions, technical refinements, and architecture reviews • Leverage GitHub Copilot to improve productivity, code quality, refactoring, testing, and documentation • Partner with frontend teams to design efficient API contracts and support seamless frontend-backend integration SKILLS Must have • 12–15 years of software engineering experience. Backend Engineering & Python • Advanced Python development experience for production-grade backend systems • Strong experience with FastAPI • Familiarity with similar Python web frameworks such as Flask or Django • Strong understanding of RESTful API design and OpenAPI/Swagger • Experience with async programming patterns using asyncio, async FastAPI, or similar libraries • Strong understanding of request lifecycle, middleware, dependency injection, authentication flows, and error handling • Strong knowledge of software engineering fundamentals, design patterns, data structures, and algorithms • Ability to write clean, maintainable, testable, and production-ready code Platform & Architecture • Strong understanding of backend architecture, microservices, and distributed systems • Experience building scalable backend platforms, reusable services, or internal developer/platform capabilities • Experience with API gateways, service-to-service communication, retries, timeouts, rate limiting, and resiliency patterns • Familiarity with event-driven architecture and messaging patterns Data, Caching & Storage • Strong experience with relational databases such as PostgreSQL • Experience with NoSQL databases where applicable • Hands-on experience with Redis is a plus • Strong understanding of database design, indexing, query optimization, transactions, and data consistency patterns • Familiarity with object storage concepts; experience with Azure Blob Storage is a plus Cloud & Infrastructure • Experience with containerized application development using Docker • Familiarity with Kubernetes or container orchestration platforms • Good understanding of CI/CD pipelines using GitLab pipelines • Experience with cloud-native application development is desirable • Azure experience is good to have, especially with: o Azure Container Apps o Azure Blob Storage • Familiarity with infrastructure-as-code tools such as Terraform AI-Assisted Development • Proficient in using GitHub Copilot for code generation, refactoring, debugging, documentation, and test generation • Good judgment on when to rely on AI suggestions versus manual implementation • Experience integrating Copilot-assisted workflows into day-to-day engineering practices is desirable Nice to have • Familiarity with React and modern frontend development concepts • Understanding of frontend-backend integration patterns and API consumption • Exposure to state management approaches and modern web application architecture • Experience building internal tools, dashboards, administrative portals, or developer-facing applications using React is a plus • Ability to contribute to UI-facing platform capabilities when required and collaborate effectively in full-stack solution design

Project description Our Client is a leading global financial markets infrastructure and data provider. Their purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. We are looking for a hands-on Principal Software Engineer with 12–15 years of experience joining our engineering team. In this role, you will design, build, and maintain scalable, secure, and high-performance backend services and platform capabilities. You will work on modern backend systems using Python, FastAPI, Redis, and cloud-native technologies, while contributing to architecture, API design, performance, reliability, and engineering quality. Experience with Azure Container Apps and Azure Blob Storage is desirable. Familiarity with React and frontend integration patterns is a plus. Responsibilities • Design and develop scalable backend services and APIs using Python • Build high-performance, secure, and maintainable services using FastAPI and similar web frameworks • Own backend architecture, technical design, and implementation for complex systems • Design and consume RESTful APIs with OpenAPI/Swagger specifications • Build reusable backend components, platform services, and integration capabilities • Work with relational and NoSQL databases to design efficient data models and access patterns • Collaborate with product, frontend, platform, QA, DevOps, and security teams to deliver robust solutions • Troubleshoot production issues and drive root cause analysis and long-term fixes • Write unit, integration, and API tests to ensure high code quality and release confidence • Define and promote coding standards, engineering best practices, and CI quality gates • Participate in design discussions, technical refinements, and architecture reviews • Leverage GitHub Copilot to improve productivity, code quality, refactoring, testing, and documentation • Partner with frontend teams to design efficient API contracts and support seamless frontend-backend integration SKILLS Must have • 12–15 years of software engineering experience. Backend Engineering & Python • Advanced Python development experience for production-grade backend systems • Strong experience with FastAPI • Familiarity with similar Python web frameworks such as Flask or Django • Strong understanding of RESTful API design and OpenAPI/Swagger • Experience with async programming patterns using asyncio, async FastAPI, or similar libraries • Strong understanding of request lifecycle, middleware, dependency injection, authentication flows, and error handling • Strong knowledge of software engineering fundamentals, design patterns, data structures, and algorithms • Ability to write clean, maintainable, testable, and production-ready code Platform & Architecture • Strong understanding of backend architecture, microservices, and distributed systems • Experience building scalable backend platforms, reusable services, or internal developer/platform capabilities • Experience with API gateways, service-to-service communication, retries, timeouts, rate limiting, and resiliency patterns • Familiarity with event-driven architecture and messaging patterns Data, Caching & Storage • Strong experience with relational databases such as PostgreSQL • Experience with NoSQL databases where applicable • Hands-on experience with Redis is a plus • Strong understanding of database design, indexing, query optimization, transactions, and data consistency patterns • Familiarity with object storage concepts; experience with Azure Blob Storage is a plus Cloud & Infrastructure • Experience with containerized application development using Docker • Familiarity with Kubernetes or container orchestration platforms • Good understanding of CI/CD pipelines using GitLab pipelines • Experience with cloud-native application development is desirable • Azure experience is good to have, especially with: o Azure Container Apps o Azure Blob Storage • Familiarity with infrastructure-as-code tools such as Terraform AI-Assisted Development • Proficient in using GitHub Copilot for code generation, refactoring, debugging, documentation, and test generation • Good judgment on when to rely on AI suggestions versus manual implementation • Experience integrating Copilot-assisted workflows into day-to-day engineering practices is desirable Nice to have • Familiarity with React and modern frontend development concepts • Understanding of frontend-backend integration patterns and API consumption • Exposure to state management approaches and modern web application architecture • Experience building internal tools, dashboards, administrative portals, or developer-facing applications using React is a plus • Ability to contribute to UI-facing platform capabilities when required and collaborate effectively in full-stack solution design

Project description Our Client is a leading global financial markets infrastructure and data provider. Their purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. We are looking for a hands-on Principal Software Engineer with 12–15 years of experience joining our engineering team. In this role, you will design, build, and maintain scalable, secure, and high-performance backend services and platform capabilities. You will work on modern backend systems using Python, FastAPI, Redis, and cloud-native technologies, while contributing to architecture, API design, performance, reliability, and engineering quality. Experience with Azure Container Apps and Azure Blob Storage is desirable. Familiarity with React and frontend integration patterns is a plus. Responsibilities • Design and develop scalable backend services and APIs using Python • Build high-performance, secure, and maintainable services using FastAPI and similar web frameworks • Own backend architecture, technical design, and implementation for complex systems • Design and consume RESTful APIs with OpenAPI/Swagger specifications • Build reusable backend components, platform services, and integration capabilities • Work with relational and NoSQL databases to design efficient data models and access patterns • Collaborate with product, frontend, platform, QA, DevOps, and security teams to deliver robust solutions • Troubleshoot production issues and drive root cause analysis and long-term fixes • Write unit, integration, and API tests to ensure high code quality and release confidence • Define and promote coding standards, engineering best practices, and CI quality gates • Participate in design discussions, technical refinements, and architecture reviews • Leverage GitHub Copilot to improve productivity, code quality, refactoring, testing, and documentation • Partner with frontend teams to design efficient API contracts and support seamless frontend-backend integration SKILLS Must have • 12–15 years of software engineering experience. Backend Engineering & Python • Advanced Python development experience for production-grade backend systems • Strong experience with FastAPI • Familiarity with similar Python web frameworks such as Flask or Django • Strong understanding of RESTful API design and OpenAPI/Swagger • Experience with async programming patterns using asyncio, async FastAPI, or similar libraries • Strong understanding of request lifecycle, middleware, dependency injection, authentication flows, and error handling • Strong knowledge of software engineering fundamentals, design patterns, data structures, and algorithms • Ability to write clean, maintainable, testable, and production-ready code Platform & Architecture • Strong understanding of backend architecture, microservices, and distributed systems • Experience building scalable backend platforms, reusable services, or internal developer/platform capabilities • Experience with API gateways, service-to-service communication, retries, timeouts, rate limiting, and resiliency patterns • Familiarity with event-driven architecture and messaging patterns Data, Caching & Storage • Strong experience with relational databases such as PostgreSQL • Experience with NoSQL databases where applicable • Hands-on experience with Redis is a plus • Strong understanding of database design, indexing, query optimization, transactions, and data consistency patterns • Familiarity with object storage concepts; experience with Azure Blob Storage is a plus Cloud & Infrastructure • Experience with containerized application development using Docker • Familiarity with Kubernetes or container orchestration platforms • Good understanding of CI/CD pipelines using GitLab pipelines • Experience with cloud-native application development is desirable • Azure experience is good to have, especially with: o Azure Container Apps o Azure Blob Storage • Familiarity with infrastructure-as-code tools such as Terraform AI-Assisted Development • Proficient in using GitHub Copilot for code generation, refactoring, debugging, documentation, and test generation • Good judgment on when to rely on AI suggestions versus manual implementation • Experience integrating Copilot-assisted workflows into day-to-day engineering practices is desirable Nice to have • Familiarity with React and modern frontend development concepts • Understanding of frontend-backend integration patterns and API consumption • Exposure to state management approaches and modern web application architecture • Experience building internal tools, dashboards, administrative portals, or developer-facing applications using React is a plus • Ability to contribute to UI-facing platform capabilities when required and collaborate effectively in full-stack solution design

Project description Our Client is a leading global financial markets infrastructure and data provider. Their purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. We are looking for a hands-on Principal Software Engineer with 12–15 years of experience joining our engineering team. In this role, you will design, build, and maintain scalable, secure, and high-performance backend services and platform capabilities. You will work on modern backend systems using Python, FastAPI, Redis, and cloud-native technologies, while contributing to architecture, API design, performance, reliability, and engineering quality. Experience with Azure Container Apps and Azure Blob Storage is desirable. Familiarity with React and frontend integration patterns is a plus. Responsibilities • Design and develop scalable backend services and APIs using Python • Build high-performance, secure, and maintainable services using FastAPI and similar web frameworks • Own backend architecture, technical design, and implementation for complex systems • Design and consume RESTful APIs with OpenAPI/Swagger specifications • Build reusable backend components, platform services, and integration capabilities • Work with relational and NoSQL databases to design efficient data models and access patterns • Collaborate with product, frontend, platform, QA, DevOps, and security teams to deliver robust solutions • Troubleshoot production issues and drive root cause analysis and long-term fixes • Write unit, integration, and API tests to ensure high code quality and release confidence • Define and promote coding standards, engineering best practices, and CI quality gates • Participate in design discussions, technical refinements, and architecture reviews • Leverage GitHub Copilot to improve productivity, code quality, refactoring, testing, and documentation • Partner with frontend teams to design efficient API contracts and support seamless frontend-backend integration SKILLS Must have • 12–15 years of software engineering experience. Backend Engineering & Python • Advanced Python development experience for production-grade backend systems • Strong experience with FastAPI • Familiarity with similar Python web frameworks such as Flask or Django • Strong understanding of RESTful API design and OpenAPI/Swagger • Experience with async programming patterns using asyncio, async FastAPI, or similar libraries • Strong understanding of request lifecycle, middleware, dependency injection, authentication flows, and error handling • Strong knowledge of software engineering fundamentals, design patterns, data structures, and algorithms • Ability to write clean, maintainable, testable, and production-ready code Platform & Architecture • Strong understanding of backend architecture, microservices, and distributed systems • Experience building scalable backend platforms, reusable services, or internal developer/platform capabilities • Experience with API gateways, service-to-service communication, retries, timeouts, rate limiting, and resiliency patterns • Familiarity with event-driven architecture and messaging patterns Data, Caching & Storage • Strong experience with relational databases such as PostgreSQL • Experience with NoSQL databases where applicable • Hands-on experience with Redis is a plus • Strong understanding of database design, indexing, query optimization, transactions, and data consistency patterns • Familiarity with object storage concepts; experience with Azure Blob Storage is a plus Cloud & Infrastructure • Experience with containerized application development using Docker • Familiarity with Kubernetes or container orchestration platforms • Good understanding of CI/CD pipelines using GitLab pipelines • Experience with cloud-native application development is desirable • Azure experience is good to have, especially with: o Azure Container Apps o Azure Blob Storage • Familiarity with infrastructure-as-code tools such as Terraform AI-Assisted Development • Proficient in using GitHub Copilot for code generation, refactoring, debugging, documentation, and test generation • Good judgment on when to rely on AI suggestions versus manual implementation • Experience integrating Copilot-assisted workflows into day-to-day engineering practices is desirable Nice to have • Familiarity with React and modern frontend development concepts • Understanding of frontend-backend integration patterns and API consumption • Exposure to state management approaches and modern web application architecture • Experience building internal tools, dashboards, administrative portals, or developer-facing applications using React is a plus • Ability to contribute to UI-facing platform capabilities when required and collaborate effectively in full-stack solution design

Project description Our Client is a leading global financial markets infrastructure and data provider. Their purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. We are looking for a hands-on Principal Software Engineer with 12–15 years of experience joining our engineering team. In this role, you will design, build, and maintain scalable, secure, and high-performance backend services and platform capabilities. You will work on modern backend systems using Python, FastAPI, Redis, and cloud-native technologies, while contributing to architecture, API design, performance, reliability, and engineering quality. Experience with Azure Container Apps and Azure Blob Storage is desirable. Familiarity with React and frontend integration patterns is a plus. Responsibilities • Design and develop scalable backend services and APIs using Python • Build high-performance, secure, and maintainable services using FastAPI and similar web frameworks • Own backend architecture, technical design, and implementation for complex systems • Design and consume RESTful APIs with OpenAPI/Swagger specifications • Build reusable backend components, platform services, and integration capabilities • Work with relational and NoSQL databases to design efficient data models and access patterns • Collaborate with product, frontend, platform, QA, DevOps, and security teams to deliver robust solutions • Troubleshoot production issues and drive root cause analysis and long-term fixes • Write unit, integration, and API tests to ensure high code quality and release confidence • Define and promote coding standards, engineering best practices, and CI quality gates • Participate in design discussions, technical refinements, and architecture reviews • Leverage GitHub Copilot to improve productivity, code quality, refactoring, testing, and documentation • Partner with frontend teams to design efficient API contracts and support seamless frontend-backend integration SKILLS Must have • 12–15 years of software engineering experience. Backend Engineering & Python • Advanced Python development experience for production-grade backend systems • Strong experience with FastAPI • Familiarity with similar Python web frameworks such as Flask or Django • Strong understanding of RESTful API design and OpenAPI/Swagger • Experience with async programming patterns using asyncio, async FastAPI, or similar libraries • Strong understanding of request lifecycle, middleware, dependency injection, authentication flows, and error handling • Strong knowledge of software engineering fundamentals, design patterns, data structures, and algorithms • Ability to write clean, maintainable, testable, and production-ready code Platform & Architecture • Strong understanding of backend architecture, microservices, and distributed systems • Experience building scalable backend platforms, reusable services, or internal developer/platform capabilities • Experience with API gateways, service-to-service communication, retries, timeouts, rate limiting, and resiliency patterns • Familiarity with event-driven architecture and messaging patterns Data, Caching & Storage • Strong experience with relational databases such as PostgreSQL • Experience with NoSQL databases where applicable • Hands-on experience with Redis is a plus • Strong understanding of database design, indexing, query optimization, transactions, and data consistency patterns • Familiarity with object storage concepts; experience with Azure Blob Storage is a plus Cloud & Infrastructure • Experience with containerized application development using Docker • Familiarity with Kubernetes or container orchestration platforms • Good understanding of CI/CD pipelines using GitLab pipelines • Experience with cloud-native application development is desirable • Azure experience is good to have, especially with: o Azure Container Apps o Azure Blob Storage • Familiarity with infrastructure-as-code tools such as Terraform AI-Assisted Development • Proficient in using GitHub Copilot for code generation, refactoring, debugging, documentation, and test generation • Good judgment on when to rely on AI suggestions versus manual implementation • Experience integrating Copilot-assisted workflows into day-to-day engineering practices is desirable Nice to have • Familiarity with React and modern frontend development concepts • Understanding of frontend-backend integration patterns and API consumption • Exposure to state management approaches and modern web application architecture • Experience building internal tools, dashboards, administrative portals, or developer-facing applications using React is a plus • Ability to contribute to UI-facing platform capabilities when required and collaborate effectively in full-stack solution design

Project description We are seeking an experienced Senior Full Stack Developer to support the development and enhancement of Communication Surveillance solutions for a leading Banking and Capital Markets client. The role focuses on designing, developing, integrating, and deploying enterprise-grade applications that support the identification and monitoring of regulatory breaches, market abuse, insider trading indicators, collusion, information leakage, and employee misconduct across multiple communication channels, including emails, chat platforms, collaboration tools, and voice transcripts. You need to have a strong hands-on experience in Java, Spring Boot, REST APIs, Microservices, React.js, Node.js, databases, and cloud/DevOps technologies. Knowledge of Machine Learning and AI concepts will be valuable to support the integration and consumption of AI/ML capabilities within Communication Surveillance solutions. You will work closely with engineering teams, business stakeholders, compliance teams, and domain experts to build scalable, secure, and production-ready solutions while adhering to the security, compliance, and governance standards required in highly regulated financial environments. Responsibilities • Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, Spring MVC, and Microservices architecture. • Develop secure and high-performance REST APIs and backend services. • Implement application security using Spring Security and follow enterprise security best practices. • Develop responsive and scalable frontend applications using React.js, JavaScript (ES6+), HTML5, and CSS3. • Develop and integrate backend and frontend components to deliver end-to-end full stack solutions. • Work with Node.js for application development and integration where required. • Design and optimize database solutions using Oracle, PostgreSQL, and MySQL. • Develop complex SQL queries and perform SQL query optimization to improve application performance. • Design and implement scalable microservices and API-based integrations. • Build, deploy, and support applications across AWS and/or Azure cloud environments. • Containerize applications using Docker and deploy/manage workloads using Kubernetes. • Implement and maintain CI/CD pipelines using Jenkins and/or GitHub Actions. • Use Git for source code management and follow appropriate branching and development practices. • Perform code quality and static code analysis using SonarQube. • Collaborate with business stakeholders, compliance teams, and domain experts to translate Communication Surveillance requirements into technical solutions. • Integrate application components with AI/ML services and models where required to support surveillance and compliance use cases. • Work with data and AI/ML teams to consume and integrate ML model outputs into enterprise applications. • Ensure applications are scalable, secure, reliable, maintainable, and compliant with enterprise standards. • Troubleshoot application issues, perform root-cause analysis, and provide production support. • Participate in code reviews, technical design discussions, performance optimization, and continuous improvement activities. • Document technical designs, application architecture, APIs, deployment processes, and operational procedures. SKILLS Must have • 7–12 years of overall IT experience with strong experience in Full Stack application development. • Strong hands-on experience with Java 8/11/17+. • Strong experience with Spring Boot and Spring MVC. • Experience with Spring Security. • Strong experience in developing REST APIs and Microservices. • Hands-on experience with JPA/Hibernate. • Experience with Maven and/or Gradle. • Strong frontend development experience with JavaScript (ES6+) and React.js. • Experience with Node.js. • Good knowledge of HTML5 and CSS3. • Strong experience with at least one of Oracle, PostgreSQL, or MySQL. • Strong SQL skills, including SQL query optimization. • Experience with AWS and/or Azure. • Hands-on experience with Docker and Kubernetes. • Experience with Jenkins and/or GitHub Actions. • Strong understanding of Git and source code management practices. • Experience with SonarQube and code quality practices. • Working knowledge of Machine Learning concepts, including: o Supervised and unsupervised learning o Model evaluation techniques o Data preprocessing and feature engineering • Understanding of ML model deployment concepts and MLOps fundamentals. Nice to have • Experience in the Banking and Capital Markets domain. • Experience with Communication Surveillance, Trade Surveillance, Financial Crime, or Compliance platforms. • Understanding of regulatory requirements related to market abuse, insider trading, employee misconduct, and communication monitoring. • Experience working with email, chat, voice transcript, and collaboration platform data. • Experience with TypeScript. • Experience with Python for Machine Learning. • Exposure to Scikit-learn, TensorFlow, or PyTorch. • Understanding of Machine Learning model training, evaluation, and deployment. • Exposure to MLOps practices and ML model lifecycle management. • Experience with AI/ML model integration within enterprise applications. • Knowledge of Generative AI, Large Language Models (LLMs), NLP, RAG, or prompt engineering. • Experience with Apache Spark or other distributed data processing technologies. • Experience working with Databricks and/or MLflow. • Experience with cloud-native application development and enterprise integration patterns. • Experience working in highly regulated enterprise environments. • Strong understanding of application security, data privacy, governance, and compliance requirements.

Project description We are seeking an experienced Senior Full Stack Developer to support the development and enhancement of Communication Surveillance solutions for a leading Banking and Capital Markets client. The role focuses on designing, developing, integrating, and deploying enterprise-grade applications that support the identification and monitoring of regulatory breaches, market abuse, insider trading indicators, collusion, information leakage, and employee misconduct across multiple communication channels, including emails, chat platforms, collaboration tools, and voice transcripts. You need to have a strong hands-on experience in Java, Spring Boot, REST APIs, Microservices, React.js, Node.js, databases, and cloud/DevOps technologies. Knowledge of Machine Learning and AI concepts will be valuable to support the integration and consumption of AI/ML capabilities within Communication Surveillance solutions. You will work closely with engineering teams, business stakeholders, compliance teams, and domain experts to build scalable, secure, and production-ready solutions while adhering to the security, compliance, and governance standards required in highly regulated financial environments. Responsibilities • Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, Spring MVC, and Microservices architecture. • Develop secure and high-performance REST APIs and backend services. • Implement application security using Spring Security and follow enterprise security best practices. • Develop responsive and scalable frontend applications using React.js, JavaScript (ES6+), HTML5, and CSS3. • Develop and integrate backend and frontend components to deliver end-to-end full stack solutions. • Work with Node.js for application development and integration where required. • Design and optimize database solutions using Oracle, PostgreSQL, and MySQL. • Develop complex SQL queries and perform SQL query optimization to improve application performance. • Design and implement scalable microservices and API-based integrations. • Build, deploy, and support applications across AWS and/or Azure cloud environments. • Containerize applications using Docker and deploy/manage workloads using Kubernetes. • Implement and maintain CI/CD pipelines using Jenkins and/or GitHub Actions. • Use Git for source code management and follow appropriate branching and development practices. • Perform code quality and static code analysis using SonarQube. • Collaborate with business stakeholders, compliance teams, and domain experts to translate Communication Surveillance requirements into technical solutions. • Integrate application components with AI/ML services and models where required to support surveillance and compliance use cases. • Work with data and AI/ML teams to consume and integrate ML model outputs into enterprise applications. • Ensure applications are scalable, secure, reliable, maintainable, and compliant with enterprise standards. • Troubleshoot application issues, perform root-cause analysis, and provide production support. • Participate in code reviews, technical design discussions, performance optimization, and continuous improvement activities. • Document technical designs, application architecture, APIs, deployment processes, and operational procedures. SKILLS Must have • 7–12 years of overall IT experience with strong experience in Full Stack application development. • Strong hands-on experience with Java 8/11/17+. • Strong experience with Spring Boot and Spring MVC. • Experience with Spring Security. • Strong experience in developing REST APIs and Microservices. • Hands-on experience with JPA/Hibernate. • Experience with Maven and/or Gradle. • Strong frontend development experience with JavaScript (ES6+) and React.js. • Experience with Node.js. • Good knowledge of HTML5 and CSS3. • Strong experience with at least one of Oracle, PostgreSQL, or MySQL. • Strong SQL skills, including SQL query optimization. • Experience with AWS and/or Azure. • Hands-on experience with Docker and Kubernetes. • Experience with Jenkins and/or GitHub Actions. • Strong understanding of Git and source code management practices. • Experience with SonarQube and code quality practices. • Working knowledge of Machine Learning concepts, including: o Supervised and unsupervised learning o Model evaluation techniques o Data preprocessing and feature engineering • Understanding of ML model deployment concepts and MLOps fundamentals. Nice to have • Experience in the Banking and Capital Markets domain. • Experience with Communication Surveillance, Trade Surveillance, Financial Crime, or Compliance platforms. • Understanding of regulatory requirements related to market abuse, insider trading, employee misconduct, and communication monitoring. • Experience working with email, chat, voice transcript, and collaboration platform data. • Experience with TypeScript. • Experience with Python for Machine Learning. • Exposure to Scikit-learn, TensorFlow, or PyTorch. • Understanding of Machine Learning model training, evaluation, and deployment. • Exposure to MLOps practices and ML model lifecycle management. • Experience with AI/ML model integration within enterprise applications. • Knowledge of Generative AI, Large Language Models (LLMs), NLP, RAG, or prompt engineering. • Experience with Apache Spark or other distributed data processing technologies. • Experience working with Databricks and/or MLflow. • Experience with cloud-native application development and enterprise integration patterns. • Experience working in highly regulated enterprise environments. • Strong understanding of application security, data privacy, governance, and compliance requirements.

Project description We are seeking an experienced Senior Full Stack Developer to support the development and enhancement of Communication Surveillance solutions for a leading Banking and Capital Markets client. The role focuses on designing, developing, integrating, and deploying enterprise-grade applications that support the identification and monitoring of regulatory breaches, market abuse, insider trading indicators, collusion, information leakage, and employee misconduct across multiple communication channels, including emails, chat platforms, collaboration tools, and voice transcripts. You need to have a strong hands-on experience in Java, Spring Boot, REST APIs, Microservices, React.js, Node.js, databases, and cloud/DevOps technologies. Knowledge of Machine Learning and AI concepts will be valuable to support the integration and consumption of AI/ML capabilities within Communication Surveillance solutions. You will work closely with engineering teams, business stakeholders, compliance teams, and domain experts to build scalable, secure, and production-ready solutions while adhering to the security, compliance, and governance standards required in highly regulated financial environments. Responsibilities • Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, Spring MVC, and Microservices architecture. • Develop secure and high-performance REST APIs and backend services. • Implement application security using Spring Security and follow enterprise security best practices. • Develop responsive and scalable frontend applications using React.js, JavaScript (ES6+), HTML5, and CSS3. • Develop and integrate backend and frontend components to deliver end-to-end full stack solutions. • Work with Node.js for application development and integration where required. • Design and optimize database solutions using Oracle, PostgreSQL, and MySQL. • Develop complex SQL queries and perform SQL query optimization to improve application performance. • Design and implement scalable microservices and API-based integrations. • Build, deploy, and support applications across AWS and/or Azure cloud environments. • Containerize applications using Docker and deploy/manage workloads using Kubernetes. • Implement and maintain CI/CD pipelines using Jenkins and/or GitHub Actions. • Use Git for source code management and follow appropriate branching and development practices. • Perform code quality and static code analysis using SonarQube. • Collaborate with business stakeholders, compliance teams, and domain experts to translate Communication Surveillance requirements into technical solutions. • Integrate application components with AI/ML services and models where required to support surveillance and compliance use cases. • Work with data and AI/ML teams to consume and integrate ML model outputs into enterprise applications. • Ensure applications are scalable, secure, reliable, maintainable, and compliant with enterprise standards. • Troubleshoot application issues, perform root-cause analysis, and provide production support. • Participate in code reviews, technical design discussions, performance optimization, and continuous improvement activities. • Document technical designs, application architecture, APIs, deployment processes, and operational procedures. SKILLS Must have • 7–12 years of overall IT experience with strong experience in Full Stack application development. • Strong hands-on experience with Java 8/11/17+. • Strong experience with Spring Boot and Spring MVC. • Experience with Spring Security. • Strong experience in developing REST APIs and Microservices. • Hands-on experience with JPA/Hibernate. • Experience with Maven and/or Gradle. • Strong frontend development experience with JavaScript (ES6+) and React.js. • Experience with Node.js. • Good knowledge of HTML5 and CSS3. • Strong experience with at least one of Oracle, PostgreSQL, or MySQL. • Strong SQL skills, including SQL query optimization. • Experience with AWS and/or Azure. • Hands-on experience with Docker and Kubernetes. • Experience with Jenkins and/or GitHub Actions. • Strong understanding of Git and source code management practices. • Experience with SonarQube and code quality practices. • Working knowledge of Machine Learning concepts, including: o Supervised and unsupervised learning o Model evaluation techniques o Data preprocessing and feature engineering • Understanding of ML model deployment concepts and MLOps fundamentals. Nice to have • Experience in the Banking and Capital Markets domain. • Experience with Communication Surveillance, Trade Surveillance, Financial Crime, or Compliance platforms. • Understanding of regulatory requirements related to market abuse, insider trading, employee misconduct, and communication monitoring. • Experience working with email, chat, voice transcript, and collaboration platform data. • Experience with TypeScript. • Experience with Python for Machine Learning. • Exposure to Scikit-learn, TensorFlow, or PyTorch. • Understanding of Machine Learning model training, evaluation, and deployment. • Exposure to MLOps practices and ML model lifecycle management. • Experience with AI/ML model integration within enterprise applications. • Knowledge of Generative AI, Large Language Models (LLMs), NLP, RAG, or prompt engineering. • Experience with Apache Spark or other distributed data processing technologies. • Experience working with Databricks and/or MLflow. • Experience with cloud-native application development and enterprise integration patterns. • Experience working in highly regulated enterprise environments. • Strong understanding of application security, data privacy, governance, and compliance requirements.

Project description We are seeking an experienced Senior Full Stack Developer to support the development and enhancement of Communication Surveillance solutions for a leading Banking and Capital Markets client. The role focuses on designing, developing, integrating, and deploying enterprise-grade applications that support the identification and monitoring of regulatory breaches, market abuse, insider trading indicators, collusion, information leakage, and employee misconduct across multiple communication channels, including emails, chat platforms, collaboration tools, and voice transcripts. You need to have a strong hands-on experience in Java, Spring Boot, REST APIs, Microservices, React.js, Node.js, databases, and cloud/DevOps technologies. Knowledge of Machine Learning and AI concepts will be valuable to support the integration and consumption of AI/ML capabilities within Communication Surveillance solutions. You will work closely with engineering teams, business stakeholders, compliance teams, and domain experts to build scalable, secure, and production-ready solutions while adhering to the security, compliance, and governance standards required in highly regulated financial environments. Responsibilities • Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, Spring MVC, and Microservices architecture. • Develop secure and high-performance REST APIs and backend services. • Implement application security using Spring Security and follow enterprise security best practices. • Develop responsive and scalable frontend applications using React.js, JavaScript (ES6+), HTML5, and CSS3. • Develop and integrate backend and frontend components to deliver end-to-end full stack solutions. • Work with Node.js for application development and integration where required. • Design and optimize database solutions using Oracle, PostgreSQL, and MySQL. • Develop complex SQL queries and perform SQL query optimization to improve application performance. • Design and implement scalable microservices and API-based integrations. • Build, deploy, and support applications across AWS and/or Azure cloud environments. • Containerize applications using Docker and deploy/manage workloads using Kubernetes. • Implement and maintain CI/CD pipelines using Jenkins and/or GitHub Actions. • Use Git for source code management and follow appropriate branching and development practices. • Perform code quality and static code analysis using SonarQube. • Collaborate with business stakeholders, compliance teams, and domain experts to translate Communication Surveillance requirements into technical solutions. • Integrate application components with AI/ML services and models where required to support surveillance and compliance use cases. • Work with data and AI/ML teams to consume and integrate ML model outputs into enterprise applications. • Ensure applications are scalable, secure, reliable, maintainable, and compliant with enterprise standards. • Troubleshoot application issues, perform root-cause analysis, and provide production support. • Participate in code reviews, technical design discussions, performance optimization, and continuous improvement activities. • Document technical designs, application architecture, APIs, deployment processes, and operational procedures. SKILLS Must have • 7–12 years of overall IT experience with strong experience in Full Stack application development. • Strong hands-on experience with Java 8/11/17+. • Strong experience with Spring Boot and Spring MVC. • Experience with Spring Security. • Strong experience in developing REST APIs and Microservices. • Hands-on experience with JPA/Hibernate. • Experience with Maven and/or Gradle. • Strong frontend development experience with JavaScript (ES6+) and React.js. • Experience with Node.js. • Good knowledge of HTML5 and CSS3. • Strong experience with at least one of Oracle, PostgreSQL, or MySQL. • Strong SQL skills, including SQL query optimization. • Experience with AWS and/or Azure. • Hands-on experience with Docker and Kubernetes. • Experience with Jenkins and/or GitHub Actions. • Strong understanding of Git and source code management practices. • Experience with SonarQube and code quality practices. • Working knowledge of Machine Learning concepts, including: o Supervised and unsupervised learning o Model evaluation techniques o Data preprocessing and feature engineering • Understanding of ML model deployment concepts and MLOps fundamentals. Nice to have • Experience in the Banking and Capital Markets domain. • Experience with Communication Surveillance, Trade Surveillance, Financial Crime, or Compliance platforms. • Understanding of regulatory requirements related to market abuse, insider trading, employee misconduct, and communication monitoring. • Experience working with email, chat, voice transcript, and collaboration platform data. • Experience with TypeScript. • Experience with Python for Machine Learning. • Exposure to Scikit-learn, TensorFlow, or PyTorch. • Understanding of Machine Learning model training, evaluation, and deployment. • Exposure to MLOps practices and ML model lifecycle management. • Experience with AI/ML model integration within enterprise applications. • Knowledge of Generative AI, Large Language Models (LLMs), NLP, RAG, or prompt engineering. • Experience with Apache Spark or other distributed data processing technologies. • Experience working with Databricks and/or MLflow. • Experience with cloud-native application development and enterprise integration patterns. • Experience working in highly regulated enterprise environments. • Strong understanding of application security, data privacy, governance, and compliance requirements.