Google Cloud Platform Jobs

Software Engineer (3) - Core Senior Engineer

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking three experienced Core Senior Engineers to join our growing team in Chennai. This is a hybrid role, blending remote work with in-office collaboration. The ideal candidate will possess a strong foundation in software engineering principles and a proven ability to deliver high-quality solutions within the IT / Technology industry. Key Responsibilities While specific responsibilities will be defined upon joining, the role will require a high level of technical proficiency and a commitment to collaborative problem-solving. Required Skills & Qualifications Coding : Demonstrated ability to write clean, efficient, and well-documented code. C++ : Proficiency in C++ , including object-oriented programming principles and experience with relevant libraries. C# : Strong understanding of C# and the .NET framework. Java : Solid experience with Java and its core libraries. GitHub : Familiarity with GitHub for version control, collaboration, and code management. Google Cloud Platform : Experience leveraging Google Cloud Platform services for application deployment and scalability. AI : Foundational knowledge of Artificial Intelligence concepts and their application to software development. Data/Analytics dashboards : Ability to create and interpret Data/Analytics dashboards to monitor application performance and identify areas for improvement. 3dx : Experience with 3dx is desirable. Enovia implementation : Experience with Enovia implementation is desirable. Experience Required: 8-10 years of relevant experience. This level of seniority requires a proven track record of successful software development projects, leadership in technical problem-solving, and the ability to mentor junior engineers. What We Offer Salary: Not specified.

Data Engineering Engineer 0

RLE India Private Limited•

Chennai

•Full-time

Data Engineering Engineer 0 Job Description Job Summary We are seeking a skilled Data Engineering Engineer to join our team in Chennai. This role offers an exciting opportunity to contribute to a dynamic environment within the IT / Technology industry. Key Responsibilities The specifics of the key responsibilities were not provided. This section will be updated as information becomes available. Required Skills & Qualifications The ideal candidate will possess a strong foundation in data engineering principles and a proven ability to leverage various technologies to build and maintain robust data pipelines. The following skills and qualifications are essential: Data Processing & Orchestration: Demonstrated proficiency in designing, building, and maintaining data pipelines using AIRFLOW and Airflow PySpark . Experience in orchestrating complex data workflows and ensuring data quality throughout the process. Cloud Platform Expertise: Extensive experience with Google Cloud Platform ( GCP ), including Dataproc , Big Query , Data Flow , and Data Fusion . Ability to leverage GCP services to build scalable and reliable data solutions. Infrastructure as Code: Solid understanding of infrastructure as code principles and experience using TERRAFORM to automate infrastructure provisioning and management. Containerization & CI/CD: Familiarity with containerization technologies and experience using Tekton for continuous integration and continuous delivery (CI/CD) of data engineering pipelines. Database Management: Proficiency in working with relational databases, including POSTGRES and Cloud SQL . Ability to design and optimize database schemas for performance and scalability. Programming Skills: Strong programming skills in Python , with the ability to write clean, efficient, and well-documented code. API Integration: Experience working with APIs for data ingestion and integration. AI/ML Awareness: A foundational understanding of AI/ML concepts and how data engineering supports AI/ML initiatives. Qualifications: A Bachelor's Degree is required. Experience Required: 7 - 7 years of relevant experience. This indicates a senior-level role requiring a proven track record of success in data engineering, with the ability to lead projects and mentor junior team members. What We Offer Salary: The salary information was not provided.

Data Engineering Engineer 2

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled Data Engineering Engineer 2 to join our growing team in Chennai. This role is critical to supporting our data-driven initiatives within the Technology industry. The position requires a strong foundation in data engineering principles and a passion for building robust and scalable data pipelines. Key Responsibilities This role will focus on the design, development, and maintenance of data pipelines and infrastructure. The successful candidate will collaborate with cross-functional teams to ensure data quality, reliability, and accessibility. Required Skills & Qualifications The ideal candidate will possess a strong understanding of data engineering concepts and a proven ability to implement them in a practical setting. The following skills and qualifications are essential: Google Cloud Platform (GCP) : Demonstrated proficiency in utilizing GCP services for data storage, processing, and analysis. BigQuery : Expertise in designing and implementing BigQuery solutions for large-scale data warehousing and querying. Data Flow : Experience with Data Flow for building and managing streaming data pipelines. Dataproc : Ability to leverage Dataproc for running and managing Apache Spark and Apache Hadoop clusters. Data Fusion : Familiarity with Data Fusion for building and managing data integration pipelines. TERRAFORM : Proficiency in using TERRAFORM for infrastructure as code and automating the deployment of data infrastructure. Tekton : Experience with Tekton for building and managing CI/CD pipelines for data engineering projects. Cloud SQL : Knowledge of Cloud SQL for managing relational databases in the cloud. AIRFLOW : Experience with AIRFLOW for orchestrating and scheduling complex data workflows. POSTGRES : Familiarity with POSTGRES database management. Airflow PySpark : Ability to utilize Airflow and PySpark for data processing and transformation. Python : Strong programming skills in Python for data manipulation, scripting, and automation. API : Understanding of API integration and data exchange. Big Data : Solid understanding of Big Data concepts and technologies. Apache Kafka : Experience with Apache Kafka for building and managing real-time data streaming applications. Bachelor's Degree : A Bachelor's Degree is required. Experience Required: 4 - 4 years of experience in a data engineering role. This level of experience indicates a seasoned professional capable of independently designing and implementing complex data solutions, as well as mentoring junior team members. What We Offer Salary: (No salary provided in the input data)

Data Engineering Engineer 2

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled Data Engineering Engineer 2 to join our growing IT / Technology team. This role will focus on building and maintaining robust data pipelines and infrastructure. Key Responsibilities This position will be responsible for the design, development, and maintenance of data solutions. The role requires a strong understanding of data engineering principles and a commitment to delivering high-quality, scalable solutions. Required Skills & Qualifications The ideal candidate will possess a strong foundation in data engineering practices and a proven ability to work with complex data systems. The following skills and qualifications are essential: Google Cloud Platform: Demonstrated proficiency in utilizing Google Cloud Platform services for data storage, processing, and analysis. BigQuery: Expertise in querying and manipulating large datasets using BigQuery . Data Flow: Experience designing and implementing data pipelines using Data Flow . Dataproc: Ability to leverage Dataproc for distributed data processing and analytics. Data Fusion: Knowledge of Data Fusion for building and managing data integration pipelines. TERRAFORM: Proficiency in infrastructure-as-code using TERRAFORM for automating infrastructure provisioning and management. Tekton: Experience with Tekton for building and managing CI/CD pipelines. Cloud SQL: Familiarity with Cloud SQL for managing relational databases in the cloud. AIRFLOW: Strong understanding of AIRFLOW for orchestrating complex data workflows. POSTGRES: Experience with POSTGRES database management. Airflow PySpark: Ability to utilize Airflow and PySpark for data processing and transformation. Python: Strong programming skills in Python for data manipulation and automation. APIs: Experience working with APIs for data integration and exchange. Big Data: A solid understanding of Big Data concepts and technologies. Apache Kafka: Experience with Apache Kafka for real-time data streaming. Education: A Bachelor's Degree is required. Experience: A minimum of 4 - 4 years of experience in a data engineering role is expected. This level of experience indicates a seasoned professional capable of working independently and contributing significantly to complex projects. What We Offer Salary:

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team in India. This role is ideal for a candidate with a strong foundation in data science and a passion for leveraging AI/ML to solve complex business challenges within the Technology industry. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, implementation, and maintenance of AI/ML solutions. This includes collaborating with cross-functional teams to identify opportunities for AI/ML applications, designing and building AI/ML models, and ensuring the scalability and reliability of these models in a production environment. The role requires a proactive approach to problem-solving and a commitment to continuous improvement. Required Skills & Qualifications AI/ML : A deep understanding of artificial intelligence and machine learning principles, including various algorithms and techniques for model building, training, and evaluation. Python : Proficiency in Python programming language for data manipulation, statistical analysis, and AI/ML model development. Google Cloud Platform (GCP) : Experience with GCP services, including Big Query , Dataproc , Data Fusion , and Cloud SQL , for data storage, processing, and analysis. Data/Analytics : Strong analytical skills with the ability to extract meaningful insights from large datasets and communicate findings effectively. Automation : Experience in automating data processing and AI/ML workflows to improve efficiency and reduce errors. Business Analysis : Ability to understand business requirements and translate them into technical specifications for AI/ML solutions. Business Transformation : A grasp of how AI/ML can be leveraged to drive business transformation and create competitive advantage. CI/CD : Familiarity with continuous integration and continuous delivery ( CI/CD ) practices for deploying and managing AI/ML models. ETL : Experience with extract, transform, load ( ETL ) processes for data integration and preparation. Jira : Proficiency in using Jira for project management and issue tracking. Data Flow : Understanding of data flow principles and techniques for designing efficient data pipelines. TERRAFORM : Experience with TERRAFORM for infrastructure as code. Tekton : Knowledge of Tekton for container-native CI/CD. AIRFLOW : Experience with AIRFLOW for orchestrating complex data workflows. Airflow PySpark : Ability to utilize Airflow with PySpark for large-scale data processing. POSTGRES : Familiarity with POSTGRES database. API : Understanding of API design and integration. GCP : Comprehensive knowledge of GCP ecosystem. Financial Reporting : Ability to apply AI/ML techniques to financial data and generate insightful reports. Leadership : Demonstrated leadership potential with the ability to guide and mentor junior team members. Strategic Communication : Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences. Communication Skills : Strong written and verbal communication skills. Analytical Skills : Exceptional analytical and problem-solving skills. Problem-Solving Skills : Ability to identify, analyze, and solve complex problems effectively. GitHub : Proficiency in using GitHub for version control and collaboration. Qualifications : A Bachelor's Degree and a Master's Degree are required. Experience Required : We are seeking candidates with 3-9 years of relevant experience in data science or a related field. This level of experience indicates a strong foundation in AI/ML principles and a proven ability to deliver impactful results. What We Offer Salary :

Software Engineer (2) - Commodity Engineer 0

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking two experienced Software Engineers to join our team in Bangalore. This role focuses on the development and maintenance of our Pega platform, with a strong emphasis on Commodity Engineer principles. The ideal candidate will possess a strong foundation in software engineering principles and a passion for building robust and scalable solutions. Key Responsibilities This role requires a high level of proficiency in designing, developing, and implementing solutions within the Pega environment. You will be responsible for the entire software development lifecycle, from requirements gathering to deployment and ongoing support. A key aspect of this role will be leveraging Automation Tools and DevOps Practices to ensure efficient and reliable delivery of high-quality software. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: A minimum of 6-8 years of experience in software engineering is expected. This level of experience indicates a proven ability to independently design, develop, and implement complex software solutions, as well as mentor junior team members. Core Technologies: Pega and Pega PRPC Proficiency: Demonstrated expertise in the Pega platform, including Pega Constellation , Ruleset Strategy , Case Architecture , and Integration Architecture . Programming Languages: Strong proficiency in Python , C# , and JavaScript . .NET Development: Experience with .NET Developer , .Net Framework . RESTful Services, JSON, XML, HTTP, API: Ability to design and consume RESTful Services and work with data formats like JSON and XML . Cloud Technologies: Google Cloud Platform: Familiarity with Google Cloud Platform services. Cloud-Native Deployments: Experience with Cloud-Native Deployments , Kubernetes , AKS , and EKS . DevOps & Automation: DevOps Practices: Solid understanding of DevOps Practices , including CI/CD Pipelines and Release Governance . Automation Frameworks: Experience with Automation Frameworks . Pipeline Deployments: Ability to manage Pipeline Deployments and adhere to Merge Governance best practices. Data & Architecture: Data Model: Strong understanding of Data Model concepts. Microservices Architecture: Experience with Microservices Architecture . AI & Machine Learning: AI: Basic understanding of AI principles. GenAI: Exposure to GenAI concepts. Agentic AI: Familiarity with Agentic AI . Domain Knowledge: Banking, Financial Services: Understanding of Banking and Financial Services concepts, including Disputes , Cards , Payments , and Lending . Pega Smart Disputes: Experience with Pega Smart Disputes . Compliance, Regulatory Considerations: Awareness of Compliance and Regulatory Considerations . Other Skills: Analytical Skills: Strong Analytical Skills for problem-solving and data analysis. Problem-Solving Skills: Excellent Problem-Solving Skills to identify and resolve complex technical issues. Communication Skills: Effective Communication Skills to collaborate with cross-functional teams. What We Offer Salary:

Software Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking three Software Engineer professionals to join our growing team. This role is ideal for individuals with a strong foundation in software development and a passion for building scalable and robust applications within the IT / Technology industry. Key Responsibilities The responsibilities of this role will encompass the full software development lifecycle, from design and implementation to testing and deployment. The successful candidate will contribute to the development of high-quality Microservices and RESTful APIs , ensuring adherence to coding standards and best practices. Required Skills & Qualifications Education: A bachelor's degree is required. Experience: A minimum of 10 years of experience in software development is expected. This level of experience indicates a seasoned professional capable of independent work and mentoring junior team members. Programming Languages: Proficiency in Java and Spring Boot is essential. Cloud Technologies: Demonstrated experience with Google Cloud Platform (GCP) , including Cloud Run , and Red Hat OpenShift . Infrastructure Management: Solid understanding of Infrastructure as Code principles and experience with Terraform . DevOps Practices: Familiarity with CI/CD pipelines and associated tools. Database Management: Experience with SQL and Postgres databases. Software Development Best Practices: A commitment to Code Quality and a strong understanding of Testing methodologies, including Unit Testing and Integration Testing . Architectural Patterns: Experience designing and implementing Distributed Systems . Agile Methodologies: Proven ability to work effectively within an Agile development environment. Collaboration & Communication: Excellent Communication Skills and the ability to engage in effective Cross-functional teamwork . Project Management Tools: Experience using Jira for project tracking and issue resolution. Security Practices: A strong understanding of Security principles, including Encryption and Anonymization techniques. API Development: Experience in designing and implementing APIs . Problem-Solving & Analytical Skills: Exceptional Problem-Solving Skills and Analytical Skills . User Interface: Familiarity with User Interface development. JVM: Understanding of the JVM . Debugging: Proficiency in Debugging and Performance Tuning . What We Offer Salary: (No salary provided)

Software Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and motivated Software Engineer to join our dynamic team. This role will be based onsite and offers an exciting opportunity to contribute to innovative projects within the IT / Technology industry. Key Responsibilities The Software Engineer will be responsible for designing, developing, and implementing software solutions. This includes working with various technologies and methodologies to ensure high-quality, scalable, and secure applications. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: 1 - 5 years of experience in software development is expected. This level of experience suggests a blend of foundational knowledge and practical application, with the ability to work independently and contribute to team goals. Pega: Demonstrated proficiency in Pega , including Pega PRPC Proficiency and Pega RPA Service . This encompasses a strong understanding of the Pega platform and its capabilities. Programming Languages: Expertise in programming languages such as Python , JavaScript , and C# . .NET Development: Experience as a .NET Developer , including working with .Net Framework and developing Customized .Net Components . RPA: Familiarity with RPA (Robotic Process Automation) principles and tools. GenAI: Understanding of GenAI (Generative Artificial Intelligence) concepts and applications. Cloud Computing: Experience with Google Cloud Platform . AIPGEE: Knowledge of AIPGEE . Software Development Methodologies: Proficiency in Test-driven development , Continuous integration , and Continuous delivery . Security Practices: Strong understanding of Encryption , Anonymization , and general Security best practices. Pega Specific Skills: Competency in Adaptors , Interrogation , Match Rules , Package Server , and the Synchronization Engine . Other Technologies: Experience with OCR (Optical Character Recognition) and Building Automation . Software Engineering Fundamentals: Solid foundation in Functions , Authentication , and Exception Handling . Deployment: Understanding of the Deployment Process .

Software Engineer (3) - Core Senior Engineer

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking three Core Senior Engineers to join our team in Chennai. This is a hybrid role within the IT / Technology industry. The ideal candidate will possess a strong foundation in software engineering principles and a proven ability to contribute to complex projects. Key Responsibilities The responsibilities of this role will be focused on core engineering tasks, leveraging a variety of technologies and methodologies to deliver high-quality software solutions. Required Skills & Qualifications Programming Languages: Demonstrated proficiency in Java , B C++ , and C# . Experience should include designing, developing, and debugging software applications using these languages. Version Control: Solid understanding and practical experience with GitHub for version control, collaborative development, and code management. Artificial Intelligence (AI): Familiarity with AI concepts and their application to software development. Data and Analytics: Ability to create and interpret Data/Analytics dashboards to monitor system performance and identify areas for improvement. Cloud Computing: Experience with Google Cloud Platform (GCP) for deploying and managing applications. Product Lifecycle Management (PLM): Expertise in PLM Customization and PLM Administration , including configuring and maintaining PLM systems. Visualization Pipeline: Understanding of Visualization Pipeline principles and their application to data representation. CAD Translation: Knowledge of CAD Translation processes and tools. Engineering: A strong foundation in Engineering principles and practices. Experience: A minimum of 10 years of experience in a software engineering role, demonstrating a consistent track record of delivering high-quality solutions. This level of experience is expected to include leading technical initiatives and mentoring junior engineers. What We Offer Salary: (No salary provided in the input data)

Advanced Data Engineer / Technical Anchor

SACHA Engineering•

Chennai

•Full-time

Advanced Data Engineer / Technical Anchor Job Summary We are seeking a highly skilled and motivated Advanced Data Engineer / Technical Anchor to join our growing team in Chennai. This role is critical for ensuring the reliability, security, and efficiency of our data infrastructure. The ideal candidate will possess a strong foundation in data engineering principles and a proven ability to implement and maintain complex data pipelines within the Google Cloud Platform environment. Key Responsibilities The Advanced Data Engineer / Technical Anchor will be responsible for the design, development, and maintenance of robust and scalable data solutions. This includes ensuring data quality, implementing security best practices, and optimizing performance across our data infrastructure. Required Skills & Qualifications Google Cloud Platform : Extensive experience designing, building, and managing data solutions on Google Cloud Platform , including proficiency with BigQuery , Dataproc , Cloud Run , and Tekton . Data Pipeline Development : Demonstrated ability to build and maintain complex data pipelines using AIRFLOW , ensuring data integrity and efficient data flow. Database Management : Strong understanding of relational database principles and experience with POSTGRES database management. Programming : Proficiency in Python for data manipulation, automation, and scripting. Infrastructure as Code : Experience using TERRAFORM to automate infrastructure provisioning and management. Security Scanning : Solid understanding of security scanning controls and experience with tools such as Checkmarx , FOSSA , and SonarQube . Cloud Security Best Practices : A commitment to implementing and maintaining cloud security best practices to protect sensitive data. Experience Required: 4 - 10 years of experience in a data engineering role. This level of experience indicates a senior-level contributor capable of independently designing and implementing complex data solutions, mentoring junior team members, and contributing to the overall technical direction of the team. What We Offer Salary: Not specified.