Cloud Architecture Jobs

Platform Engineering Engineer 3

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a highly skilled and motivated Platform Engineering Engineer 3 to join our growing team. This role will be instrumental in building and maintaining our platform, ensuring its reliability, scalability, and security. The ideal candidate will possess a strong understanding of cloud technologies, infrastructure automation, and distributed systems. This is a hybrid role. Key Responsibilities The Platform Engineering Engineer 3 will be responsible for designing, building, and maintaining robust and scalable platform infrastructure. This includes automating infrastructure deployments, monitoring system performance, and troubleshooting issues to ensure high availability and optimal performance. The role requires a proactive approach to identifying and resolving potential problems before they impact users. Required Skills & Qualifications Programming Languages: Proficiency in Java , Python , and Go is essential. Experience with Bash scripting for automation and system administration tasks is also required. Cloud Platforms: Demonstrated experience with cloud platforms including AWS , GCP , and Azure . Containerization & Orchestration: Strong understanding and practical experience with Docker and Kubernetes for containerization and orchestration. Monitoring & Observability: Expertise in using monitoring and observability tools such a Prometheus , Grafana , ELK , OpenSearch , Datadog , OpenTelemetry , Jaeger , and Zipkin . Networking Fundamentals: Solid understanding of networking concepts including DNS , LB , TCP/IP , VPC/subnet design , and Security groups . Security & Compliance: Experience with IAM , Secrets Management using tools like Vault and KMS , and implementing Patching and Vuln Scanning procedures. Platform Reliability & Performance: A focus on Platform Availability and a proven ability to perform Runtime Performance Tuning . Infrastructure Automation: Expertise in Infrastructure as Code ( IaC ) principles and tools. Continuous Integration & Continuous Delivery: Experience with CI/CD pipelines and automation. Cloud Architecture: Ability to design and implement Cloud Architecture solutions. Site Reliability Engineering (SRE): Familiarity with SRE principles and practices. Runtime Optimization: Ability to perform Runtime Optimization for distributed systems. Distributed Systems: Experience with Distributed Backend Systems . AI-augmented Platform Operations: Experience with AI-augmented Platform Operations . Analytical Skills: Strong Analytical Skills for problem-solving and data-driven decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills to quickly identify and resolve issues. Communication Skills: Effective Communication Skills to collaborate with cross-functional teams. Any Degree is required. 6 - None years of experience are required. This indicates a mid-level seniority with expectations of independent work and mentorship of junior team members. What We Offer We offer a competitive compensation package.

Software Engineer (3) - Core Engineer 0

RLE India Private Limited•

Chennai

•Full-time

Software Engineer (3) - Core Engineer 0 Job Summary We are seeking a highly motivated and experienced Software Engineer to join our core engineering team in Chennai. This role requires a strong foundation in software development principles and a passion for building robust and scalable applications. The ideal candidate will possess a blend of technical expertise and a collaborative spirit, contributing to a dynamic and innovative environment. Key Responsibilities The Software Engineer will be responsible for designing, developing, and maintaining high-quality software solutions. This includes collaborating with cross-functional teams to define requirements, implementing efficient and testable code, and participating in code reviews to ensure adherence to coding standards and best practices. The role also involves troubleshooting and resolving software defects, and contributing to the continuous improvement of our development processes. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: A minimum of 6 - 6 years of experience in software development is expected. This level of experience indicates a seasoned professional capable of independently contributing to complex projects and mentoring junior team members. Programming Languages: Proficiency in Java and JavaScript is essential. Frameworks & Technologies: Demonstrated experience with Angular , Springboot , and Spring Security . Cloud Technologies: Familiarity with Spring Cloud is highly desirable. Web Technologies: Solid understanding of HTML5 and CSS3 for building modern web applications. Architectural Patterns: Strong understanding of Microservices Architecture and the ability to design and implement scalable microservices. API Design: Expertise in RESTful API Design principles and best practices. Messaging: Experience with Asynchronous Messaging patterns and technologies. Version Control: Proficiency in using Git , GitHub , GitLab , or Bitbucket for version control and collaborative development. Analytical Skills: Exceptional Analytical Thinking skills to effectively analyze complex problems and develop creative solutions. Problem-Solving Skills: Proven Problem-Solving Skills to identify, diagnose, and resolve software defects and technical challenges. 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 skilled Software Engineers to join our growing team within the IT / Technology industry. This is a fantastic opportunity for a motivated individual to contribute to innovative projects and utilize cutting-edge technologies. Key Responsibilities (No data provided for Key Responsibilities) Required Skills & Qualifications The ideal candidate will possess a strong foundation in software development principles and a proven ability to deliver high-quality solutions. The following skills and qualifications are essential: Programming Languages: Proficiency in Java is required, with a strong understanding of object-oriented programming principles. Frameworks & Technologies: Demonstrated experience with Spring Boot for building robust and scalable applications. Databases: Solid knowledge of relational databases, specifically PostgreSQL , including schema design, query optimization, and data integrity. Familiarity with NoSQL databases is also a plus. Frontend Development: Experience with Angular for building dynamic and responsive user interfaces. Cloud Computing: Practical experience with GCP (Google Cloud Platform), including deployment, scaling, and management of applications. GCP Cloud Knowledge is essential. Architectural Patterns: A deep understanding of Microfrontend Architecture and Event-Driven Architecture for designing and implementing loosely coupled, scalable systems. Software Development Practices: Commitment to Test-Driven Development (TDD) and experience with Continuous Integration and Continuous Delivery (CI/CD) pipelines. Security: Knowledge of data security best practices, including Encryption and Anonymization techniques. API Development: Experience designing, developing, and consuming APIs . Microservices: Experience building and deploying Microservices . Agile Methodologies: Proven ability to work effectively within an Agile development environment. Analytical Skills: Exceptional Analytical Skills to analyze complex problems and develop effective solutions. Problem-Solving Skills: Strong Problem-Solving Skills to identify, troubleshoot, and resolve technical challenges. Communication Skills: Excellent Communication Skills to effectively communicate technical concepts to both technical and non-technical audiences. Qualifications: A Bachelor's Degree is required. Experience Required: 6 - 6 years of professional software development experience. This level of experience indicates a senior-level expectation, including the ability to mentor junior engineers and contribute to architectural decisions.

Azure Cloud & Data ETL Developer

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled and experienced Azure Cloud & Data ETL Developer to join our dynamic IT / Technology team. This is a hybrid role, offering a blend of remote work and in-office collaboration. The ideal candidate will possess a strong background in data engineering, cloud technologies, and ETL/ELT development, with a focus on the Azure ecosystem. Key Responsibilities The Azure Cloud & Data ETL Developer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and solutions within the Azure cloud environment. This includes data ingestion, transformation, and loading processes, ensuring data quality, and adhering to data governance principles. The role also involves collaborating with cross-functional teams to understand data requirements and deliver effective solutions. Required Skills & Qualifications Azure Data Services: Demonstrated proficiency in utilizing various Azure data services, including Azure Data Factory (ADF) , Azure Databricks , and Azure Synapse Analytics , to build and manage data pipelines. ETL Development: Extensive experience in ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) development, including designing and implementing data integration solutions. Hybrid Data Architectures: A strong understanding of hybrid data architectures , enabling seamless data flow between on-premises and cloud environments. Cloud Migration: Experience in migrating data and applications to the Azure cloud platform. Data Engineering: Solid foundation in Data Engineering principles and practices. Data Modeling: Expertise in data modeling techniques, including the design and implementation of star schemas and snowflake schemas . Data Warehousing Concepts: A thorough understanding of data warehousing concepts and best practices. Programming Languages: Proficiency in Python and PySpark for data manipulation and processing. Data Ingestion & Integration: Experience with data ingestion and data integration processes, ensuring data accuracy and consistency. Data Quality & Governance: Knowledge of data quality and data governance principles and practices. DevOps & CI/CD: Experience with DevOps practices, including CI/CD (Continuous Integration/Continuous Delivery) pipelines, utilizing tools like Azure DevOps and GitHub Actions . Agile Methodology: Familiarity with Agile development methodologies. Performance Tuning & Indexing: Ability to perform performance tuning and indexing to optimize data query performance. Data Validation: Experience in implementing data validation processes to ensure data integrity. Azure Data Lake Storage (ADLS): Experience working with Azure Data Lake Storage (ADLS) . Communication Skills: Excellent communication skills , both written and verbal, to effectively collaborate with stakeholders. Problem-Solving Skills: Strong problem-solving skills to identify and resolve data-related issues. Gemini AI: Familiarity with Gemini AI and its applications in data processing. Experience Required: 6 - 10 years of relevant experience in data engineering and cloud development. This level of seniority requires a proven track record of designing and implementing complex data solutions, leading projects, and mentoring junior team members. What We Offer Salary: 18 LPA