VyTCDC

Job Description

Key Responsibilities:

• Design, develop, test, and deploy high-quality backend solutions using Java and Spring Boot.
• Build and maintain scalable microservices that interact with various data sources and front-end applications.
• Develop RESTful APIs for internal and external consumption.
• Write clean, maintainable, and efficient code following best practices and coding standards.
• Collaborate with cross-functional teams including front-end developers, QA, and DevOps.
• Troubleshoot and resolve technical issues across environments.
• Participate in code reviews, unit testing, and integration testing.
• Ensure application performance, uptime, and scale by identifying and resolving bottlenecks.

Required Skills & Qualifications:

• Strong proficiency in Java (8 or higher).
• Hands-on experience with Spring Boot framework.
• Experience in developing RESTful APIs and understanding of HTTP protocols.
• Solid understanding of Microservices architecture and related patterns (e.g., service discovery, circuit breaker).
• Familiarity with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
• Understanding of containerization tools (e.g., Docker) and orchestration tools (e.g., Kubernetes) is a plus.
• Knowledge of CI/CD pipelines and version control tools like Git.
• Excellent problem-solving skills and attention to detail.
• Good communication and teamwork skills.

Preferred Qualifications:

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with message brokers like Kafka or RabbitMQ.
• Exposure to Agile/Scrum development methodologies.

Key Responsibilities:

• Develop and maintain web applications using .NET Core, C#, and Angular.
• Design and implement RESTful APIs using ASP.NET Web API.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Write clean, scalable, and efficient code for both client-side and server-side components.
• Perform unit testing and participate in code reviews to ensure code quality.
• Troubleshoot and debug existing applications.
• Stay current with new technology trends and best practices in full stack development
• Required Skills & Qualifications:
• Strong experience with .NET Core, .NET Framework, and C#.
• Proficiency in Angular (preferably Angular 8+) for front-end development.
• Solid understanding of RESTful APIs and ASP.NET Web API.
• Hands-on experience with unit testing frameworks (e.g., xUnit, NUnit, Moq).
• Familiarity with relational databases (e.g., SQL Server).
• Knowledge of version control systems like Git.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
• Preferred Qualifications:
• Experience with Entity Framework Core.
• Familiarity with CI/CD pipelines and DevOps practices.
• Exposure to cloud platforms like Azure or AWS.
• Experience with Agile/Scrum methodologies.

 Key Responsibilities

• Design and implement ETL/ELT pipelines using Databricks, PySpark, and AWS Glue
• Develop and maintain scalable data architectures on AWS (S3, EMR, Lambda, Redshift, RDS)
• Perform data wrangling, cleansing, and transformation using Python and SQL
• Collaborate with data scientists to integrate Generative AI models into analytics workflows
• Build dashboards and reports to visualize insights using tools like Power BI or Tableau
• Ensure data quality, governance, and security across all data assets
• Optimize performance of data pipelines and troubleshoot bottlenecks
• Work closely with stakeholders to understand data requirements and deliver actionable insights

🧪 Required Skills

Skill AreaTools & TechnologiesCloud PlatformsAWS (S3, Lambda, Glue, EMR, Redshift)Big DataDatabricks, Apache Spark, PySparkProgrammingPython, SQLData EngineeringETL/ELT, Data Lakes, Data WarehousingAnalyticsData Modeling, Visualization, BI ReportingGen AI IntegrationOpenAI, Hugging Face, LangChain (preferred)DevOps (Bonus)Git, Jenkins, Terraform, Docker

📚 Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Science, or related field
• 3+ years of experience in data engineering or data analytics
• Hands-on experience with Databricks, PySpark, and AWS
• Familiarity with Generative AI tools and frameworks is a strong plus
• Strong problem-solving and communication skills

🌟 Preferred Traits

• Analytical mindset with attention to detail
• Passion for data and emerging technologies
• Ability to work independently and in cross-functional teams
• Eagerness to learn and adapt in a fast-paced environment

We are looking for a Senior .NET Engineer with hands-on experience in developing enterprise applications on the Microsoft technology stack and exposure to Identity Provider (IDP) integrations such as Azure AD, Auth0, or Okta. You will contribute to designing, developing, and maintaining scalable applications while ensuring high-quality code and collaborating within a cross-functional team.

Key Skills: 

Strong programming skills in C#, .NET Core/.NET 6/8, ASP.NET MVC/Web API. 

Practical experience with IDP integration (Azure AD B2C, Auth0, Okta, etc.). 

Good understanding of OAuth 2.0, OpenID Connect, SAML. 

Experience with RESTful APIs and SQL Server/Entity Framework. 

Familiarity with frontend frameworks like Angular/React (good to have). 

Experience with Git, CI/CD pipelines, and basic Azure services is a plus. 

Strong analytical and debugging skills

 Pega Certified Lead with hands-on understanding of Pega Build, Design, Architecture

• Innovative zest for creating Intellectual Properties, Accelerators and solutions which can impact business value on Applications.

• Thorough understanding of current and future technology trends and ability to leverage them with minimum interventions and creating cost-effective value propositions with winning themes to make definite GTM impact.

• Participate in short-term consulting engagements and pre-sales assessments/workshops

• Collaborates with sales, delivery, technical and vertical teams to ensure proposed deals include technical solutions, winning themes that accurately address customer needs

• Assist overlay sales in supporting the named logo list of must-win prospects

• Assist marketing team in driving practice specific campaigns – develop key messages, design relevant content

• Drive customer visits, pre-sales workshops and expertise presentations

• Secures input from all necessary solution stakeholders and adapts solutions, as necessary.

Job Summary

We are seeking a skilled Frontend Developer with expertise in React.js and React Flow to design and implement dynamic, interactive user interfaces. You will be responsible for building scalable web applications and visual workflows that empower users to interact with complex data and processes intuitively.

🛠️ Key Responsibilities

• Develop responsive and high-performance web applications using React.js
• Design and implement interactive flow-based UIs using React Flow
• Collaborate with UX/UI designers to translate wireframes into functional components
• Optimize components for maximum performance across devices and browsers
• Integrate RESTful APIs and manage application state using tools like Redux or Zustand
• Write clean, maintainable, and well-documented code
• Participate in code reviews, testing, and continuous integration processes

✅ Required Skills

• Strong proficiency in JavaScript (ES6+) and React.js
• Hands-on experience with React Flow for building node-based editors or workflow diagrams
• Familiarity with state management libraries (Redux, Zustand, Recoil)
• Experience with HTML5, CSS3, and modern CSS frameworks (e.g., Tailwind, Styled Components)
• Understanding of component lifecycle, hooks, and functional programming
• Knowledge of Git, CI/CD pipelines, and agile development practices

💡 Preferred Qualifications

• Experience with TypeScript
• Familiarity with backend integration (Node.js, GraphQL, etc.)
• Exposure to data visualization libraries (D3.js, Chart.js)
• Understanding of accessibility and performance optimization

What does a successful Senior DevOps Engineer do at Fiserv?

This role’s focus will be on contributing and enhancing our DevOps environment within Issuer Solution group, where our cross functional Scrum teams are delivering solutions built on cutting-edge mobile technology and products. You will be expected to support across the wider business unit, leading DevOps practices and initiatives.

What will you do:

• Build, manage, and deploy CI/CD pipelines.

• DevOps Engineer - Helm Chart, Rundesk, Openshift

• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline.

• Implementing various development, testing, automation tools, and IT infrastructure

• Optimize and automate release/development cycles and processes.

• Be part of and help promote our DevOps culture.

• Identify and implement continuous improvements to the development practice

What you must have:

• 3+ years of experience in devops with hands-on experience in the following:

- Writing automation scripts for deployments and housekeeping using shell scripts (bash) and ansible playbooks

- Building docker images and running/managing docker instances

- Building Jenkins pipelines using groovy scripts

- Working knowledge on kubernetes including application deployments, managing application configurations and persistence volumes

• Has good understanding on infrastructure as code

• Ability to write and update documentation

• Demonstrate a logical, process orientated approach to problems and troubleshooting

• Ability to collaborate with multi development teams

What you are preferred to have:

• 8+ years of development experience

• Jenkins administration experience

• Hands-on experience in building and deploying helm charts

Process Skills:

• Should have worked in Agile Project

🛠️ Key Responsibilities

• Design, build, and maintain scalable data pipelines using Python and Apache Spark (PySpark or Scala APIs)
• Develop and optimize ETL processes for batch and real-time data ingestion
• Collaborate with data scientists, analysts, and DevOps teams to support data-driven solutions
• Ensure data quality, integrity, and governance across all stages of the data lifecycle
• Implement data validation, monitoring, and alerting mechanisms for production pipelines
• Work with cloud platforms (AWS, GCP, or Azure) and tools like Airflow, Kafka, and Delta Lake
• Participate in code reviews, performance tuning, and documentation

🎓 Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 3–6 years of experience in data engineering with a focus on Python and Spark
• Experience with distributed computing and handling large-scale datasets (10TB+)
• Familiarity with data security, PII handling, and compliance standards is a plus

Technical Skills – Must have  

 Lead the design and development of AI-driven test automation frameworks and solutions.

 Collaborate with stakeholders (e.g., product managers, developers, data scientists) to understand testing requirements and identify areas where AI automation can be effectively implemented.

 Develop and implement test automation strategies for AI-based systems, encompassing various aspects like data generation, model testing, and performance evaluation.

 Evaluate and select appropriate tools and technologies for AI test automation, including AI frameworks, testing tools, and automation platforms.

 Define and implement best practices for AI test automation, covering areas like code standards, test case design, test data management, and ethical considerations.

 Lead and mentor a team of test automation engineers in designing, developing, and executing AI test automation solutions.

 Collaborate with development teams to ensure the testability of AI models and systems, providing guidance and feedback throughout the development lifecycle.

 Analyze test results and identify areas for improvement in the AI automation process, continuously optimizing testing effectiveness and efficiency.

 Stay up-to-date with the latest advancements and trends in AI and automation technologies, actively adapting and implementing new knowledge to enhance testing capabilities.

 Knowledge in Generative AI and Conversational AI for implementation in test automation strategies is highly desirable.

 Proficiency in programming languages commonly used in AI, such as Python, Java, or R.

 Knowledge on AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.

 Familiarity with testing methodologies and practices, including Agile and DevOps.

 Working experience on Python/Java and Selenium also knowledge in prompt engineering.

Job Summary:

We are seeking a skilled Python Developer with a strong foundation in Artificial Intelligence and Machine Learning. You will be responsible for designing, developing, and deploying intelligent systems that leverage large datasets and cutting-edge ML algorithms to solve real-world problems.

Key Responsibilities:

• Design and implement machine learning models using Python and libraries like TensorFlow, PyTorch, or Scikit-learn.
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Develop APIs and integrate ML models into production systems using frameworks like Flask or FastAPI.
• Collaborate with data scientists, DevOps engineers, and backend teams to deliver scalable AI solutions.
• Optimize model performance and ensure robustness in real-time environments.
• Maintain clear documentation of code, models, and processes.

Required Skills:

• Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of ML algorithms (classification, regression, clustering, deep learning).
• Experience with data pipeline tools (e.g., Airflow, Spark) and cloud platforms (AWS, Azure, or GCP).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD practices.
• Solid grasp of RESTful API development and integration.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 2–5 years of experience in Python development with a focus on AI/ML.
• Exposure to MLOps practices and model monitoring tools.