11759 Microsoft Azure Jobs - Page 44

Required Experience: 5+ Years Job Location: Bangalore Job Profile Summary & Description: The Cloud Finops Analyst will serve as a vital link between our Finance and Engineering teams. This technical individual will be responsible for analyzing and managing our cloud expenditures, identifying cost-saving opportunities, collaborating with engineering leads to implement optimizations, and delivering comprehensive reports to both finance and engineering leadership. Essential Responsibilities: Cost Analysis and Optimization: Regularly analyze our cloud infrastructure spending and identify cost drivers. Collaborate with engineering teams to identify areas where cost optimizations can be achieved. Propose and drive actionable solutions to reduce cloud-related expenses. Financial Insights and Reporting: Develop detailed financial reports on cloud spending, presenting them to finance and engineering leaders. Provide granular insights into cloud financial operations, helping leaders make informed decisions. Identify trends, anomalies, and opportunities for greater financial efficiency. Collaboration and Communication: Work closely with engineering leads to implement cost-saving initiatives. Facilitate cross-functional meetings to track progress and ensure timely execution of cost optimization strategies.

Role Description : As a Senior Big Data Platform Engineer at Incedo, you will be responsible for designing and implementing big data platforms to support large-scale data integration projects. You will work with data architects and data engineers to define the platform architecture and build the necessary infrastructure. You will be skilled in big data technologies such as Hadoop, Spark, and Kafka and have experience in cloud computing platforms such as AWS or Azure. You will be responsible for ensuring the performance, scalability, and security of the big data platform and troubleshooting any issues that arise. Roles & Responsibilities: Designing, developing and maintaining large-scale big data platforms using technologies like Hadoop, Spark and Kafka Creating and managing data warehouses, data lakes and data marts Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Troubleshooting and resolving big data platform issues Collaborating with other teams to ensure the consistency and integrity of data Technical Skills : Experience with big data processing technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Understanding of distributed computing concepts such as MapReduce, Spark RDDs, or Apache Flink data streams. Familiarity with big data storage solutions such as HDFS, Amazon S3, or Azure Data Lake Storage. Knowledge of big data processing frameworks such as Apache Hive, Apache Pig, or Apache Impala. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Senior Big Data Platform Engineer at Incedo, you will be responsible for designing and implementing big data platforms to support large-scale data integration projects. You will work with data architects and data engineers to define the platform architecture and build the necessary infrastructure. You will be skilled in big data technologies such as Hadoop, Spark, and Kafka and have experience in cloud computing platforms such as AWS or Azure. You will be responsible for ensuring the performance, scalability, and security of the big data platform and troubleshooting any issues that arise. Roles & Responsibilities: Designing, developing and maintaining large-scale big data platforms using technologies like Hadoop, Spark and Kafka Creating and managing data warehouses, data lakes and data marts Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Troubleshooting and resolving big data platform issues Collaborating with other teams to ensure the consistency and integrity of data Technical Skills : Experience with big data processing technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Understanding of distributed computing concepts such as MapReduce, Spark RDDs, or Apache Flink data streams. Familiarity with big data storage solutions such as HDFS, Amazon S3, or Azure Data Lake Storage. Knowledge of big data processing frameworks such as Apache Hive, Apache Pig, or Apache Impala. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Position Overview: We are looking for a detail-oriented and experienced Senior Test Engineer with 5 to 7 years of experience in ETL testing. The ideal candidate will have expertise in SQL, functional testing, and a solid understanding of Data Warehouse concepts. If you are passionate about ensuring data quality and integrity, and thrive in a collaborative environment, we would love to hear from you! Key Responsibilities: Design and execute ETL test plans, test cases, and test scripts to validate data transformations and data quality. Design, develop, and execute functional test cases. Conduct functional testing to ensure that ETL processes and data pipelines meet business requirements. Collaborate with data engineers, developers, and business analysts to understand data requirements and specifications. Utilize SQL to perform data validation and ensure accuracy and completeness of data in the Data Warehouse. Identify, document, and track defects using JIRA, ensuring timely resolution. Create and maintain comprehensive documentation of testing processes, methodologies, and results. Participate in code reviews and provide feedback to ensure best practices in ETL development. Stay updated on industry trends and advancements in ETL testing and Data Warehouse technologies. Technical Skills : Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. 5 to 7 years of experience in ETL testing and data quality assurance. Strong expertise in SQL for data validation and manipulation. Knowledge of Data Warehouse concepts, architectures, and best practices. Experience with functional testing methodologies and tools. Familiarity with JIRA for issue tracking and test case management. Excellent analytical and problem-solving skills. Solid understanding of the financial domain, with experience in testing financial applications. Strong communication skills with the ability to work collaboratively in a team environment. Experience with Agile or DevOps methodologies. Experience in Oracle DB or SQl Server tools. Experience in Azure synapse tool or any cloud based tools for Pipeline and ETL testing. Certification in QA or software testing.

Role Description: As a Senior Big Data Platform Engineer at Incedo, you will be responsible for designing and implementing big data platforms to support large-scale data integration projects. You will work with data architects and data engineers to define the platform architecture and build the necessary infrastructure. You will be skilled in big data technologies such as Hadoop, Spark, and Kafka and have experience in cloud computing platforms such as AWS or Azure. You will be responsible for ensuring the performance, scalability, and security of the big data platform and troubleshooting any issues that arise. Roles & Responsibilities: Designing, developing and maintaining large-scale big data platforms using technologies like Hadoop, Spark and Kafka Creating and managing data warehouses, data lakes and data marts Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Troubleshooting and resolving big data platform issues Collaborating with other teams to ensure the consistency and integrity of data Technical Skills Skills Requirements: Experience with big data processing technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Understanding of distributed computing concepts such as MapReduce, Spark RDDs, or Apache Flink data streams. Familiarity with big data storage solutions such as HDFS, Amazon S3, or Azure Data Lake Storage. Knowledge of big data processing frameworks such as Apache Hive, Apache Pig, or Apache Impala. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Experience: 5-10Years Job Description : Minimum 5 years of coding experience in NodeJS backend. At least 2 year hands-on in Springboot Hands on experience in performance tuning, debugging, monitoring Technical Skills Excellent knowledge developing scalable and highly available Restful APIs using NodeJS technologies Handson experience in Typescript, Practical experience with GraphQL. Well versed with CI/CD principles, and actively involved in solving, troubleshooting issues in distributed services ecosystem Understanding of containerization, experienced in Dockers , Kubernetes. Exposed to API gateway integrations like 3Scale. Understanding of Single-Sign-on or token-based authentication (Rest, JWT, oAuth) Possess expert knowledge of task/message queues include but not limited to: AWS, Microsoft Azure, Pushpin and Kafka Functional Skills Experience in following best Coding, Security, Unit testing and Documentation standards and practices Experience in Banking, Financial and Fintech experience in an enterprise environment preferred Experience in Agile methodology. Ensure quality of technical and application architecture and design of systems across the organization. Effectively research and benchmark technology against other best in class technologies.

Grade Specific Skills (competencies) .Net core .NET Framework 6 .Net MVC ActiveMQ ADO.NET Advanced C# Advanced JavaScript (ES2015) Agile (Software Development Framework) Android Angular Ansible API design API Gateway API integration ASP.NET ASP.NET Core ASP.NET Core Web API ASP.NET MVC 5 Assymetric Encryption Attentiveness AWS Compute and PAAS AWS DevOps AWS Lambda Azure Boards Azure Compute Azure DevOps Azure Integration Services Azure Repos Azure SDK Azure Security Azure Storage Blazor C# C/C++ Caching Cloud Computing Cloud Migration Cloud Storage Cloud Strategy Collaboration Compression Containerization Continuous Integration and Continuous Delivery (CI/CD) Core Java Critical Thinking CSS3 Data formats JSON XML Data formats YAML DevOps Docker Entity framework Entity Framework Core Git GitHub gradle Groovy Hashing Hibernate HTML5 HTTP and verbs Hybris IDE Java Webservices JavaScript Jenkins Jmeter JMS ( Java Messaging Service) jQuery JSP junit Kafka Kubernetes Learning Mindset Linux Logic Apps maven Message Oriented Middleware Microcontrollers Microservices Microsoft SQL Server mockito Monitoring and Optimizing Azure Solutions Mulesoft Multi-Cloud MVC Core Node Js noSQL Nunit Testing OWASP Problem Solving Profiling React Rest API Rest Webservices RTOS Ruby on Rails Serial Comunication Service registry Servlets SOA (Service Oriented Architecture) Software Design patterns Software Testing Source Control Spring Core Spring Data Spring MVC Stakeholder Management Struts Symetric Encryption System Design Terraform Time Management Tuning Unit Testing Verbal Communication Verification and Validation Vue WCF Web API Written Communication

Project description We are seeking an AI-ML Tech Engineer who has a minimum of 5+ years of strong background in machine learning, data science, and software engineering. As a Machine Learning Engineer, you will develop and deploy machine learning models, work with large datasets, and collaborate with cross-functional teams to solve real-world problems. Responsibilities A passionate analytics expert looking for new challenges Proactive, looking for creative and innovative solutions A flexible, open-minded and cooperative person with a strong team ethic Interested in working in a fast-paced international environment as part of a global team Getting-things-done mentality Skills Must have Master's degree in computer science, computer engineering or equivalent experience At least 5 years of experience working in similar a position Experience of using Azure ML, either deploying as a platform or using the platform for model development Strong experience with Python programming language in developing enterprise level applications Proficient in designing, developing and maintaining distributed systems and services Experience in Ansible automation tool for platform IaC, deployment automation and configuration management Strong problem-solving skills with the ability to handle complex systems Good communication and teamwork skills, able to work independently and collaboratively with other teams to deliver quality software solution Fluent in English with the ability to explain complex concepts in simple terms Nice to have Agile environment Previous banking domain Other Languages English: C1 Advanced

We are seeking a forward-thinking Software Engineer with expertise in Java Fullstack and JavaScript to join our dynamic team. The candidate will have the opportunity to develop cutting-edge applications, implement scalable microservices, and work on innovative technologies in cloud environments. Responsibilities Develop applications utilizing Java Implement microservice architecture patterns on Microsoft Azure Apply Apache Kafka for event streaming Leverage Docker and Kubernetes for containerization and microservice scaling Work with REST APIs and SQL databases Requirements 3 to 5 years of professional experience Strong technical proficiency in Java and microservices architecture Background in JavaScript and its frameworks Knowledge of Apache Kafka and container technologies like Docker and Kubernetes Expertise in Maven/Gradle and Microsoft Azure Proficiency in REST API, SQL, Spring Core, and data structure/algorithm problem-solving B2-level English communication skills

Talent Acquisition Advisor: Ramboini Swathi Job Code Level: DSP5 Refer Your Friends! Your Impact As a Principal Software Engineer you will utilize superior knowledge and experience to perform highly complex product architecture, design, systems analysis, research, maintenance, troubleshooting and other programming activities. You will also play a key role in the development of work teams by providing others with direction and leadership. You will also be involved in cross-team planning activities such as providing status updates and coordinating activities. What The Role Offers Produce high quality code according to design specifications. Detailed technical design of highly complex software components. Utilize superior analytical skills to troubleshoot and fix highly complex code defects. Propose creative solutions or alternatives balancing risk, complexity, and effort to meet requirements. Lead software design/code reviews to ensure quality and adherence to company standards. Lead and mentor other team members. Collaborate with Product Owner to plan and prioritize tasks for others to support the achievement of team objectives. Work across teams and functional roles to ensure interoperability among other products, including training and consultation. Provide status updates to stakeholders and escalates issues when necessary. Lead and/or participate in the software development process from design to release in an Agile Development Framework. What you will need to succeed Bachelors degree in Computer Science or related field 15+ years of enterprise product development experience Strong hands-on experience in design, development and deploying of applications on public cloud platforms (preferable GCP, but Azure/AWS is acceptable) Deep expertise in cloud native architecture including microservices, containerisation (Docker/Kubernetes), serverless computing and infrastructure as code (terraform) Experience in modernizing legacy systems and migrating workloads to public cloud Proficiency in CI/CD pipelines, cloud based DevOPS practices Git, Jenkins or similar Experience in building REST and SOAP APIs and responsive web applications (Angular/React) Good programming practices with solid object-oriented development experience Prior experience with C++ and system level programming is an added advantage A strong understanding of Application Architecture, High level and Low-level design, Middleware/Application Servers and Infrastructure. Good understanding of SQL and Database concepts. Experience liaising with groups of people across several geographies Excellent communication and time management skills

**JIRA Data Center architecture*(multi-node clustering, shared databases, and file systems) **Linux systems administration** **Scripting*(Bash, Python, or Groovy) **Observability stack*(ELK, Prometheus, Grafana, etc.) **Cloud providers*(AWS, GCP, or Azure) if hosted on cloud infrastructure **PostgreSQL / Oracle* as JIRA backend DBs Familiarity with **Atlassian tools ecosystem* Confluence, Bitbucket, Crowd Technologies / OS Python Terraform Docker Linux Windows Network CI/CD Tools JIRA System ADMIN JIRA Functional ADMIN Github Github Actions Jenkins Sonarqube JFrog Artifactory Sonatype Nexus JFrog XRAY Kubernetes Soft Skills Communication Customer service Autonomy Problem-solving Adaptability Team Spirit Time Management

As a AI Ops Expert , Responsible and full ownership for the deliverables with greater defined quality standards with defined timeline and budget Design, implement, and manage AIops solutions to automate and optimize AI/ML workflows. Collaborate with data scientists, engineers, and other stakeholders to ensure seamless integration of AI/ML models into production. Monitor and maintain the health and performance of AI/ML systems. Develop and maintain CI/CD pipelines for AI/ML models. Implement best practices for model versioning, testing, and deployment. Troubleshoot and resolve issues related to AI/ML infrastructure and workflows. Stay up-to-date with the latest AIops, MLOps, and Kubernetes tools and technologies. Requirements and skills Bachelors or Masters degree in Computer Science, Software Engineering, or a related field. 2-7 year of relevant experience Proven experience in AIops, MLOps, or related fields. Strong proficiency in Python and experience with FastAPI. Strong handson expertise on Kubernetes (Or AKS) Hands-on experience with MS Azure and its AI/ML services, including Azure ML Flow. Proficiency in using DevContainer for development. Knowledge of CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps. Experience with containerization and orchestration tools like Docker and Kubernetes. Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and collaboration skills. Preferred Skills: Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Familiarity with data engineering tools like Apache Kafka, Apache Spark, or similar. Knowledge of monitoring and logging tools such as Prometheus, Grafana, or ELK stack. Understanding of data versioning tools like DVC or MLflow. Experience with infrastructure as code (IaC) tools like Terraform or Ansible. Proficiency in Azure-specific tools and services, such as: Azure Machine Learning (Azure ML) Azure DevOps Azure Kubernetes Service (AKS) Azure Functions Azure Logic Apps Azure Data Factory Azure Monitor and Application Insights

Conduct and participate in the regular governance calls with different stakeholders to enhance the public cloud security operations Management of security validations and exceptions raised on the public cloud infrastructure Drive the process implementation, enhancements and improvements on the Conduct regular governance with vulnerability and SOC teams to enhance the detection security posture on cloud Conduct risk assessments and security evaluations of public cloud applications/infrastructure in line with SGs framework/standards/guidelines Drive the pentest governance strategy, roll-out and remediations within its public cloud scope Drive the cloud native services non-compliance alert escalations, follow-up and reporting Assess and manage IT risk treatment in all new projects or infrastructure within its scope (integration of security into projects, secure by design processes) Enforce Group policies / standards and/or procedures / good security practices within its department. Develop and maintain process documentation, and reporting dashboards (KPIs, KRAs) Communicate risk and security recommendations to stakeholders Contribute to security audits support with artifacts (internal audit / regulators) within its scope To act as a security expert and point of contact on all the operational security and risk management activities Drive the remediation of critical vulnerabilities/alerts reported with vulnerability management team reported by CSPs Monitor and coordinate for timely closure of audit recommendations (internal / regulators), if necessary, intervene in support of operational teams. Review the security assessment and audit reports available from CSPs Communicate the status of security audits (internal audit / regulators) as well as the plans for dealing with recommendations. Prepare, update and review the major incident response plan with the CSPs and internal stakeholders Profile required 14+ years of experience in operational security and risk management, or related fields 8+ years of experience in public cloud security operations in Azure (Preferred) and AWS Strong understanding of cloud native security services on Azure and AWS Strong understanding of infrastructure application security architecture, compliance frameworks, and risk management principles Experience with infrastructure application security assessments, risk assessments, and security controls implementation Excellent analytical, problem-solving, and communication skills Familiarity with cloud security framework, tools, and technologies (e.g., CIS, OWASP, CNAPP, SOC, Infrastructure security, IAM, DevSecOps, DAST/SAST. NIST, CCM) Education Qualification and Certifications: o SC-100, CCSK, CEH or CPENT are mandatory o CCSP or CISSP (optional) Bachelors or master's in computer science/information technology/Information security (Mandatory)

We are looking for an experienced Software Engineer to join our team and take ownership of designing and developing scalable, high-performance applications using Java Fullstack and JavaScript. This role will involve leveraging cutting-edge tools and technologies to build and maintain microservices on Microsoft Azure, ensuring seamless event streaming with Apache Kafka, and implementing containerisation with Docker and Kubernetes. Responsibilities Build robust applications using Java and JavaScript Design and implement microservice architecture patterns on Microsoft Azure Leverage Apache Kafka for efficient event streaming pipelines Deploy and manage microservices using Docker and Kubernetes for scalability Collaborate on REST API design and integration with SQL databases Optimize application performance by applying problem-solving skills Ensure code quality and maintainability through best practices in development Contribute to architectural decisions supporting long-term scalability and reliability Lead and mentor team members to enhance overall technical capabilities Requirements 5 to 9 years of experience in software engineering roles Strong proficiency in Java and Microservice architecture Expertise in JavaScript and related frameworks Knowledge of Apache Kafka, Docker, and Kubernetes for containerisation and event streaming Competency in Maven/Gradle, REST API, SQL databases, Spring Core, and Microsoft Azure Solid problem-solving skills and understanding of data structures and algorithms B2-level English proficiency with strong communication skills

Seeking a highly skilled Cloud Developer to design" develop" and maintain scalable" secure" and high-performance web applications and APIs. The ideal candidate will have strong experience in Python-based frameworks (FastAPI/Flask) " REST/GraphQL APIs " and cloud-native development using Docker " GitLab CI/CD " and NoSQL/SQL databases . You will work closely with cross-functional teams to ensure seamless integration" data quality" and system performance across the application lifecycle. Key Responsibilities: Design" develop" and maintain RESTful and GraphQL APIs using FastAPI " Flask " and Python . Implement and manage CI/CD pipelines using GitLab " Docker " and container orchestration tools. Work with PostgreSQL " Amazon DynamoDB " and other RDBMS/NoSQL databases for data modeling and querying. Ensure data validation and serialization using Pydantic and SQLAlchemy . Collaborate with DevOps and infrastructure teams to support UNIX/Linux environments " virtualization " and system integration . Write clean" maintainable code and manage source control using Git . Perform data analysis" processing" and quality checks to support backend services. Contribute to system architecture" configuration management" and performance optimization. Primary Skills: Programming & Frameworks Python" FastAPI" Flask" OOP" SQLAlchemy" Pydantic API Development REST APIs" GraphQL" API security and performance Databases PostgreSQL" Amazon DynamoDB" RDBMS" NoSQL" wide-column and columnar databases DevOps & CI/CD Docker" GitLab" Git" containerization" continuous integration Scripting & OS Bash" shell scripting" UNIX/Linux system administration Data Handling Data validation" data processing" data quality" data management Secondary Skills: Software Engineering Practices CASE tools" application lifecycle management" version control System Integration System interfaces" infrastructure administration" server configuration IT Operations IT infrastructure" IT operations" system monitoring Science & Research Exposure to data science" computer science fundamentals" and research-driven development Security & Compliance Secure coding practices" configuration management" and system hardening Preferred Qualifications: Bachelors or Masters degree in Computer Science" Information Technology" or a related field 4+ years of experience in back-end development and API engineering Experience working in agile teams and DevOps environments Familiarity with cloud platforms and scalable microservices architecture Works in the area of Software Engineering" which encompasses the development" maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge" in research" design" development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role" as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

- Develop and automate complex workflows and systems using Python to streamline IT processes and infrastructure management. - Design, implement, and manage Ansible playbooks for infrastructure automation, configuration management, and continuous deployment. - Build and maintain scalable automation solutions within private cloud environments (Openstack) leveraging cloud-native tools and services. - Collaborate with cross-functional teams to integrate AIOps for proactive system monitoring, anomaly detection, and automated incident response. - Implement MLOps pipelines to automate machine learning model deployment, monitoring, and lifecycle management in production environments. - Optimize infrastructure and processes using automation frameworks to reduce operational overhead and improve system performance. - Automate routine tasks and processes related to system provisioning, configuration, and patch management. - Design self-healing, auto-scaling systems by incorporating advanced automation techniques in cloud platforms. - Create automated workflows to manage data pipelines, train models, and monitor ML models' performance in MLOps environments. - Collaborate with DevOps teams to build and maintain CI/CD pipelines and automated deployment processes for applications and machine learning models. - Continuously assess and improve automation frameworks and pipelines to align with the latest industry best practices. Profile required - Python: Strong proficiency in scripting and automation tasks. - Power shell scripting knowledge. - Ansible: Expertise in writing and managing Ansible playbooks for infrastructure automation. - Cloud Knowledge: Sound understanding of cloud platforms like AWS, Azure, or GCP, including serverless architectures and cloud-native automation tools. - AIOps: Experience with tools and frameworks that use AI to enhance IT operations (such as monitoring, event correlation, and incident management). - MLOps: Familiarity with automating the deployment, monitoring, and management of machine learning models. - DevOps CI/CD: Experience with CI/CD pipelines and infrastructure as code. - Good technical grasp of databases and systems - Problem Solving: Strong analytical skills to identify and resolve automation challenges effectively

A Software Engineer delivers features for a Product in a business chain. As member of a Feature Team, he works in autonomy and in a continuous improvement approach. Generic Skills : Requirement analysis, Should understand user stories Development Develop and write Unit Test with the supervision of Senior Developer. Follow coding standards, Follow clean coding and craftmanship practices, Should know how adopt tools in his projects, Full Stack Development Skills, Developer Understands at least one backend, front end technologies to work on. Development defined by leads. Core skills -Proficiency in core java, knowledge of libraries and frameworks (sprint, hibernate, sprintboot), -Core speciality in front-end development (react, angular, etc.), familarity of backend architecture, database, microservices and UI design patterns -Strong experience in designing and building scalable backend systems and reliable API's, -Working knowledge on performing software upgrades - JDK, Tomcat -Database knowledge (SQL, bigdata etc.), -Understanding of cloud platforms (azure, SG tools), -Knowledge of containerizeration and docker platforms like kubernetes, CI/CD/devops experience, -Perform IUT and E2E testing and be able to support Production -Conversant in Agile methodologies -Should come up with ideas and proposals on tech solutions - Test automation knowledge is desirable Soft skills: - Good problem solving skills, - Proficient in communicating and accountability of tasks

Experience with frontend stack React/Angular/Typescript Comfortable with backend SpringBoot, Java and tools like Git, Jira, etc Knowledge of Docker, Kubernetes and Azure Software craftmanship and practice agility/DevOps (TDD, BDD, DDD) Profile required SG Markets UI development and Backend development Agile methodologies such as Scrum or Kanban hold no secrets for you A true team player, you thrive in a collaborative environment You are comfortable with multiple front and back stacks (Java, Angular, SpringBoot, React); PostGre databases and tools like Git, Jira, Docker, etc. You have a genuine interest in Azure public cloud technologies

- Manage and deliver project execution - Interact with business team to understand technical specifications and then create and assign tasks to the team. - Guide team in defining the structure of their projects, including working with them to finalize the DB schema. - Manage, mentor, and provide technical guidance/support to the team. - Review improve code, performance, stability, and scalability of deliverables. - Monitor development unit-testing activities and report project progress.

Proficiency in Power Apps (Canvas and Model-Driven) Experience with Power Automate and Dataverse Integration with SharePoint and third-party APIs Familiarity with the Microsoft 365 ecosystem Responsibilities: Develop and customize applications using Power Apps. Automate workflows with Power Automate. Integrate solutions with SharePoint, Dataverse, and external APIs. Collaborate with cross-functional teams to gather requirements and deliver solutions.

DOTNET, Blazor Web Assembly B Tech, MCA, MSc Job Summary We are seeking talented Front-End Developers to join our dynamic team, working on a cutting-edge Life Sciences project with a leading global client. You will play a critical role in developing the user interface using .NET Blazor Core. This is an excellent opportunity to work with modern web technologies and collaborate closely with back-end developers, UX/UI designers, and other project stakeholders to deliver high-quality, scalable, and user-friendly solutions. Key Responsibilities would be to Develop responsive and visually appealing web applications using .NET Blazor Core. Collaborate with back-end developers to integrate front-end features with server-side logic. Participate in design discussions and ensure alignment with UX/UI best practices. Write clean, maintainable, and testable code following industry standards. Debug and optimize existing applications for performance, scalability, and security. Work closely with the QA team to ensure code quality and functionality. Participate in code reviews and contribute to improving development workflows and standards. Preferred Experience 5+ years of strong front-end development experience using .NET Blazor Core. Proficiency in Blazor Web Assembly, JWT tokens, HTML5, CSS3, JavaScript/TypeScript, and front-end frameworks. Experience with RESTful APIs and integrating front-end components with back-end services. Knowledge of cloud platforms (Azure preferred) and DevOps practices. Capable of doing Figma UI/UX designs if needed Understanding of responsive and adaptive design principles. Familiarity with version control systems such as Git. Experience in Life Sciences or Healthcare domain is a plus.

Skills: Java8/ Java21, Spring boot framework, ReactJS/Angular, Microservices, DevOps, CI/CD, Cloud (AWS/ AZURE) Key Responsibilities: - Independently develop code using the required technical skills. - Troubleshoot and resolve issues in production and development environments. - Hands on experience in cloud (ex: Azure, AWS) - Collaborate with cross-functional teams to gather requirements and implement solutions that meet business needs. - Participate in all phases of the software development lifecycle, including planning, development, testing, and deployment. - CI/CD pipeline configuration using GitHub actions - Adapt quickly to new technologies and methodologies, demonstrating a continuous learning mindset. Job Description: We are seeking a strong experienced fullstack developer to join our dynamic team. Engineer with 6+ years of experience in software development Primary skills: Java8, Java 21, Spring boot framework (Spring security, Spring core, Spring boot, Spring batch), Shell script RESTful APIs / Microservices Database: MongoDB / PostgreSQL/Oracle/MSSQL Web front end: Angular/ ReactJS/ Cloud platform: AZURE or AWS CI/CD pipeline management Secondary skills Software factory/tools: GitHub, GitHub Actions, SonarQube, Postman, Swagger Framework: Agile/Scrum, JIRA, TDD, BDD

This team focuses on Any IT project in the finance sector. Develop a range of services Deliver projects with a computing component on all the pillars of the group in coordination with the business lines and the other DIS of the group Define and implement the target architecture of the IS by proposing optimizations and simplifications in a Digital and Agile context in partnership with the teams of central architectures and the business Ensure the production and evolutionary maintenance of the IS in conjunction with infrastructure teams and solution providers Mandatory skills: Java, REACT JS, Spring, Hibernate, CI/ CD, Docker, Kubernetes, Public Cloud (Azure), SQL, Web technologies. Detailed Job description: Hands-on experience with at least 3 years in Core Java, Spring and Hibernate technologies. Clear understanding of Software Development life cycle and process Oriented. Would be great if worked on Agile or Continuous Delivery (CD) based projects before. Good fundamentals in Core Programming, Object Oriented design Design patterns Should have good hands -on experience on the fundamentals of how modern web works with SPA, Restful APIs and OAuth/OpenID Connect protocols Experience in creating executing unit tests using test driven approach with JUnit or any other equivalent. Good to have exposure to Investment banking domain, ML Cloud technologies

This team focuses on Any IT project in the finance sector. Develop a range of services Deliver projects with a computing component on all the pillars of the group in coordination with the business lines and the other DIS of the group Define and implement the target architecture of the IS by proposing optimizations and simplifications in a Digital and Agile context in partnership with the teams of central architectures and the business Ensure the production and evolutionary maintenance of the IS in conjunction with infrastructure teams and solution providers Job Summary : We are looking for a skilled Java Backend Developer with 5 years of experience to join our dynamic team. The ideal candidate will have a strong background in Java development, experience with backend technologies, and a passion for building scalable and efficient applications. Key Responsibilities : Design, develop, and maintain backend services and APIs using Java. Collaborate with front-end developers, product managers, and other stakeholders to deliver high-quality software solutions. Write clean, maintainable, and efficient code. Perform code reviews and provide constructive feedback to team members. Troubleshoot and debug issues in production and non-production environments. Optimize application performance and ensure scalability. Stay up-to-date with emerging technologies and industry trends. Required Skills and Qualifications : Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience in Java development. Strong understanding of object-oriented programming principles. Experience with Spring Framework (Spring Boot, Spring MVC, Spring Data). Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and writing SQL queries. Familiarity with RESTful API design and development. Knowledge of version control systems (e.g., Git). Experience with cloud platforms (e.g., AWS, Azure) is a plus. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Preferred Skills : Experience with microservices architecture. Knowledge of containerization technologies (e.g., Docker, Kubernetes). Familiarity with CI/CD pipelines and DevOps practices. Understanding of front-end technologies (e.g., HTML, CSS, JavaScript) is a plus.

Mid-Senior Python/py spark Developer with Azure tech stack , the ideal candidate will have strong expertise in Python 3.12, Spark 3.x, Postgres 15 on AZURE, OCP 19, SOK8s (AKS 1.27) on AZURE and microservices architecture. This role requires fluency in database technologies Oracle/PL SQL postgres . knowledge of CI/CD pipelines, and a proactive approach to project leadership and mentorship. The candidate is expected to work along with the project team to lead the solutioning develop the expected solution, following BDD TDD practices, le Deliver working code within agreed timelines, that meets acceptance criteria D.O.D. Come up with Low level design , Understanding project objectives and understand application Impacts contributions expected Review deliveries periodic review of application performance Collaborate within team to maintain Production stability facilitate on-demand release. Support team members on their technical tasks tasks estimation and timely code review Manage the technical debts of the applications Drive consistent development practices w.r.t. tools, common components, documentation Profile required Should have 5 to 8 years of hands on experience working on Python Should have at least 2 years of hands on experience working on using PySpark with Hadoop Should have experience working on projects using Agile Methodologies and CI/CD Pipelines Should have experience working on at least one of the RDBMS databases such as Oracle, PostgreSQL and SQL Server Should have exposure to Linux platform such as RHEL and Cloud platforms such as Azure Data Lake Should have exposure to Container and Orchestration tools such as Docker and Kubernetes