Terraform Jobs in Chennai

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 skilled and motivated Software Engineer to join our growing team in Chennai. This role, designated as a Core Engineer 0, will focus on developing and maintaining core components of our systems. The ideal candidate will possess a strong foundation in software engineering principles and a passion for building high-quality, scalable solutions. Key Responsibilities The specific responsibilities will be determined based on project needs, but will generally include contributing to the design, development, and testing of software components. This role requires a proactive approach to problem-solving and a commitment to delivering robust and reliable solutions. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: 6 - 6 years of experience in software engineering are expected. This level of experience indicates a seasoned professional capable of working independently and contributing significantly to complex projects. Programming Languages: Proficiency in Java and Server-side languages is essential. Frameworks & Technologies: Demonstrated experience with Spring Boot and Microservices architectures. Cloud Technologies: Familiarity with GCP (Google Cloud Platform) is required. Infrastructure as Code: Experience with TERRAFORM for infrastructure provisioning and management. Agile Methodologies: Solid understanding and practical application of Agile development principles. Testing Practices: Commitment to Test-driven development methodologies to ensure code quality. DevOps Practices: Experience with Continuous integration and Continuous delivery pipelines. Security: Knowledge of Encryption and Anonymization techniques to protect sensitive data. API Development: Experience designing and implementing APIs for seamless integration. User Interface: Understanding of User Interface principles and best practices. Analytical Skills: Strong Analytical Skills to effectively analyze complex problems and develop innovative solutions. Problem-Solving Skills: Excellent Problem-Solving Skills to identify, troubleshoot, and resolve technical challenges. Communication Skills: Effective Communication Skills to clearly convey technical information to both technical and non-technical audiences. What We Offer Salary: Not provided.

Google Cloud Engineer - SSE

SACHA Engineering•

Bengaluru

+3 More

Other Locations3 cities

Pune

Chennai

Hyderabad

•full time

Job Summary We are seeking a highly skilled and motivated Google Cloud Engineer - SSE to join our growing team. This is a hybrid role requiring a blend of hands-on technical expertise and collaborative teamwork. The ideal candidate will possess a strong foundation in cloud technologies, particularly within the Google Cloud Platform , and a proven ability to design, implement, and maintain robust and scalable cloud solutions. Key Responsibilities The Google Cloud Engineer - SSE will be responsible for a range of tasks related to the design, implementation, and maintenance of our Google Cloud infrastructure. This includes automating infrastructure provisioning, optimizing cloud resources for cost and performance, and ensuring the reliability and security of our cloud-based applications and services. Required Skills & Qualifications Education: A Bachelor’s degree in computer science or a related field, or a higher degree, is required. A minimum of 3 years of relevant experience is expected. Experience: 6 - 10 years of experience in a related field is required. This level of experience indicates a strong understanding of cloud technologies and a proven ability to work independently and as part of a team. DevOps: Demonstrated proficiency in DevOps principles and practices, with a focus on automation and continuous delivery. Google Kubernetes Engine (GKE): Extensive experience with GKE , including cluster configuration, deployment, and management. Infrastructure-as-Code: Strong understanding and practical experience with Infrastructure-as-Code methodologies and tools. Terraform: Expertise in using Terraform to provision and manage Google Cloud resources. Deployment Manager: Familiarity with Deployment Manager for automated deployment of Google Cloud resources. CI/CD: Deep understanding of CI/CD pipelines and experience with tools such as Cloud Build , Jenkins , and GitHub Actions . Kubernetes: Solid foundation in Kubernetes concepts, including Deployments , Services , and Autoscaling . Programming/Scripting: Proficiency in Python and Bash scripting for automation and system administration tasks. Version Control: Experience with GitOps principles and tools like ArgoCD and Helm . Cloud Governance: Knowledge of Cloud Governance best practices and experience implementing policies and controls. Cost Management: Ability to analyze and optimize Cloud costs, ensuring efficient resource utilization. Compliance: Understanding of Compliance requirements and experience implementing security measures to meet regulatory standards. Cloud Migration: Experience with Cloud Migration strategies and methodologies. System Reliability: Strong focus on System Reliability and experience designing and implementing highly available and resilient systems. High Availability & Redundancy: Expertise in designing for High Availability and Redundancy . Backup Strategies: Experience developing and implementing effective Backup Strategies . Proactive Monitoring: Ability to implement Proactive Monitoring solutions to identify and address potential issues before they impact users. Process Efficiencies: A commitment to identifying and implementing Process Efficiencies to improve operational effectiveness. Analytical Skills: Strong Analytical Skills for problem-solving and data-driven decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills with the ability to troubleshoot complex technical issues. Communication Skills: Effective Communication Skills for collaborating with cross-functional teams and communicating technical concepts to both technical and non-technical audiences. Teamwork: Demonstrated ability to work effectively as part of a Teamwork environment. What We Offer Salary: ₹15 LPA - ₹20 LPA

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)

Senior DevOps Engineer – Cloud Platform (AWS)

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Senior DevOps Engineer to join our team in Bangalore. This role will focus on the design, implementation, and maintenance of our AWS -based cloud platform. The ideal candidate will possess a strong understanding of DevOps principles, Platform Engineering practices, and SRE methodologies, with a proven ability to build and operate robust, scalable, and secure cloud infrastructure. Key Responsibilities The Senior DevOps Engineer will be responsible for ensuring the reliability, security, and performance of our cloud platform. This includes automating infrastructure provisioning, implementing continuous integration and continuous delivery ( CI/CD ) pipelines, and proactively identifying and resolving operational issues. The role requires a deep understanding of cloud security best practices and a commitment to maintaining a secure and compliant environment. Required Skills & Qualifications DevOps : Demonstrated expertise in DevOps methodologies, including automation, continuous integration, continuous delivery, and infrastructure as code. Platform Engineering : Experience in designing and building scalable and resilient cloud platforms, with a focus on automation and self-service capabilities. SRE : Familiarity with SRE principles and practices, including monitoring, alerting, incident response, and post-mortem analysis. AWS : Extensive experience with AWS services, including EC2 , S3 , RDS , ElastiCache , Amazon EKS , MSK , Elasticsearch , and OpenSearch . Kubernetes : Proficiency in deploying and managing applications using Kubernetes . Terraform : Strong experience in infrastructure as code using Terraform . AWS CDK : Ability to utilize AWS CDK for defining and provisioning cloud infrastructure. Ansible : Experience with Ansible for configuration management and automation. Kafka : Understanding of Kafka and MSK for distributed streaming. Datadog , Prometheus , Grafana : Experience with monitoring and observability tools such as Datadog , Prometheus , and Grafana . Cloud Security : Solid understanding of Cloud Security principles, including IAM and Compliance . VPC , Subnets , Routing : Knowledge of VPC configuration, Subnets , and Routing . Security : Strong understanding of Security best practices. Analytical Skills : Ability to analyze complex data and identify trends. Problem-Solving Skills : Proven ability to troubleshoot and resolve technical issues. Communication Skills : Excellent written and verbal communication skills. Experience Required: 10 - 10 years of experience in a DevOps or related role. This level of experience indicates a senior-level expectation, requiring a candidate who can independently lead projects, mentor junior team members, and contribute to the overall DevOps strategy. What We Offer Salary:

Platform Engineering Engineer D

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and motivated Platform Engineering Engineer D to join our growing IT / Technology team. This role will focus on building and maintaining robust and scalable platforms to support our evolving business needs. The ideal candidate will possess a strong foundation in cloud technologies, automation, and a commitment to delivering high-quality solutions. Key Responsibilities The specific responsibilities for this role will be determined based on the needs of the business and will evolve over time. We expect the successful candidate to be adaptable and willing to take on new challenges as they arise. Required Skills & Qualifications To be considered for this position, candidates must demonstrate proficiency in the following areas: Programming: Demonstrated experience with Python for scripting, automation, and application development. Infrastructure as Code: Expertise in TERRAFORM for defining and managing infrastructure through code, ensuring consistency and repeatability. Configuration Management: Strong understanding and practical experience with Ansible for automating configuration management and application deployment. Cloud Platforms: Proven ability to work with and deploy solutions on major cloud platforms including AWS , Azure , and GCP . Containerization & Orchestration: Solid experience with Kubernetes and Openshift for container orchestration and management. DevOps Practices: A deep understanding of DevOps principles and experience implementing CI/CD pipelines. Monitoring & Observability: Familiarity with monitoring and observability tools such as Dynatrace , Prometheus , and Grafana . Version Control: Proficiency in using GitHub for version control and collaborative development. Operating Systems: Strong working knowledge of Linux environments. Networking: Understanding of Network Protocols & Standards . Scripting: Ability to write and maintain effective Scripting solutions. Problem Solving: Exceptional Problem Solving skills with a demonstrated ability to diagnose and resolve complex technical issues. Technical Troubleshooting: Adept at Technical Troubleshoot and root cause analysis. Communication Skills: Excellent Communication Skills , both written and verbal, to effectively collaborate with cross-functional teams. Services: Experience managing and supporting Services . Cloud Infrastructure: Solid understanding of Cloud Infrastructure principles and best practices. Storage Capacity Management: Experience with Storage Capacity Management . VMware: Familiarity with VMware virtualization technologies. Tekton: Experience with Tekton for CI/CD. Education: A Bachelor's degree in Computer Science , Information Technology , or a related field is required. Experience: A minimum of 6 years of experience in a related engineering role is expected. This level of experience should demonstrate a proven ability to design, implement, and maintain complex systems in a fast-paced environment. What We Offer Salary:

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 (3) - Core Senior Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Software Engineer to join our core team. This is a senior-level role requiring a deep understanding of software development principles and a proven ability to design, develop, and deploy scalable and reliable applications. The ideal candidate will possess a strong background in cloud technologies and a passion for building innovative solutions. Key Responsibilities This role will be responsible for the full software development lifecycle, from design and implementation to testing and deployment. The candidate will collaborate with cross-functional teams to deliver high-quality software solutions that meet business requirements. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: A minimum of 10 years of experience in software engineering is required. This level of experience indicates a seasoned professional capable of leading technical initiatives and mentoring junior engineers. Programming Languages: Proficiency in Java is essential. Frameworks & Technologies: Demonstrated experience with Spring Boot for building robust and scalable applications. Cloud Computing: Extensive experience with GCP (Google Cloud Platform), including Cloud Run for containerized application deployment. Containerization & Orchestration: Strong understanding of containerization technologies such as Docker and orchestration platforms like Kubernetes , GKE , and OpenShift . Experience with Helm for managing Kubernetes deployments is also required. CI/CD & DevOps: Solid experience with CI/CD pipelines, including tools like Tekton , Argo CD , and GitHub Actions . Familiarity with GitOps principles is a plus. Frontend Development: Experience with Angular for building modern user interfaces. API Development: Proven ability to design and implement REST APIs and Microservices architectures. Integration Patterns: Knowledge of Enterprise Integration Patterns for building loosely coupled and scalable systems. Data Management: Experience with relational databases such as AlloyDB and Cloud SQL for PostgreSQL . Cloud Security: Strong understanding of cloud security principles, including IAM , Service Accounts , Workload Identity Federation , Secret Manager , External Secrets , and Least-Privilege Access Controls . Container Security: Experience with Artifact Registry , Container Security , Binary Authorization , and Vulnerability Scanning . Deployment & Monitoring: Proficiency in Secure Deployment Practices , Cloud Logging , Cloud Monitoring , Prometheus , and Dynatrace/Grafana . Operational Skills: Ability to perform Root-Cause Analysis and implement effective Alerting systems. Infrastructure as Code: Experience with Terraform for managing infrastructure as code. Analytical Skills: Strong Analytical Skills for problem-solving and decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills to identify and resolve complex technical challenges. Communication Skills: Effective Communication Skills for collaborating with cross-functional teams and communicating technical concepts clearly. Networking: Understanding of Application Ingress/Egress , Load Balancing , API Routing , Shared VPC , Private Service Connect , Firewall Rules , and DNS . Connectivity: Experience with Private Connectivity and Cross-Project Communication .

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)