Deployment Jobs in Chennai

SR. Salesforce Developer

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a highly skilled and experienced Senior Salesforce Developer to join our team. This is a hybrid role requiring a blend of on-site collaboration and remote work. The ideal candidate will possess a strong understanding of the Salesforce platform and a proven ability to design, develop, and implement custom solutions. Key Responsibilities The Senior Salesforce Developer will be responsible for the full lifecycle of Salesforce development, from requirements gathering and design to implementation, testing, and deployment. This includes collaborating with stakeholders to understand business needs and translating them into effective Salesforce solutions. Required Skills & Qualifications Apex : Demonstrated proficiency in Apex programming, including the ability to write efficient, well-documented, and testable code. LWC : Expertise in building modern user interfaces using LWC (Lightning Web Components), ensuring responsiveness and optimal performance. Visualforce : Solid understanding of Visualforce , including the ability to create custom pages and components. Salesforce Application Development : Comprehensive knowledge of the Salesforce platform and its capabilities, with a proven track record of developing custom applications. Salesforce Configuration : Ability to configure Salesforce out-of-the-box features and customize the platform to meet specific business requirements. Deployment and Release Management : Experience with deployment and release management processes, ensuring smooth and controlled deployments to production environments. Automation : Ability to leverage Salesforce 's automation tools, such as Process Builder and Flow , to streamline business processes. Jira : Familiarity with Jira for issue tracking and project management. Salesforce API : Strong understanding of Salesforce API and the ability to integrate Salesforce with other systems. Experience Required: 10 - 20 years of experience in Salesforce development. This level of experience indicates a senior-level role requiring a high degree of autonomy, leadership, and the ability to mentor junior developers. The candidate should be able to handle complex projects and provide technical guidance to the team. What We Offer Salary: 28 LPA

Teamcenter Integration Lead

RLE India Private Limited•

Remote

•full time

Job Summary We are seeking a highly skilled and experienced Teamcenter Integration Lead to join our team. This role will be responsible for leading integration efforts related to Teamcenter and ensuring seamless integration with other enterprise systems. The ideal candidate will possess a strong understanding of Teamcenter Architecture , coupled with extensive experience in integration and deployment. Key Responsibilities The Teamcenter Integration Lead will be responsible for the following: Leading and executing Integration Reconfiguration and Integration Deployments for Teamcenter and related systems. Performing Root Cause Analysis to identify and resolve integration issues. Managing Release Management processes to ensure smooth and controlled deployments. Collaborating with cross-functional teams to ensure alignment and successful integration of systems. Required Skills & Qualifications The ideal candidate will possess the following skills and qualifications: Deep understanding of Teamcenter Architecture , including its components and integration points. Proficiency in 10+ years of experience in Java development and its application to integration projects. Proven experience with CAD Integrations , including proficiency with Creo , NX , and SolidWorks . Strong experience integrating with ERP systems, specifically SAP , Oracle , and others. Exceptional Problem-Solving Skills , with the ability to analyze complex issues and develop effective solutions. Excellent Communication Skills , both written and verbal, to effectively communicate technical concepts to both technical and non-technical audiences. Experience Required: 10 - 10 years of experience in a related field, demonstrating a high level of seniority and expertise in integration and deployment of complex systems. This includes a proven track record of successfully leading integration projects from inception to completion. What We Offer Salary:

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

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:

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. This role will focus on leveraging cutting-edge AI/ML techniques to solve complex business challenges within the IT / Technology industry. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, deployment, and maintenance of AI/ML models and systems. This includes contributing to the full lifecycle of AI projects, from initial conception and design to implementation, testing, and ongoing monitoring. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms and techniques for data analysis, prediction, and automation. GCP : Proficiency in utilizing Google Cloud Platform (GCP) for developing and deploying AI/ML solutions. This includes familiarity with GCP Services and their integration within a cloud-based environment. GenAI : Experience with Generative AI models and their applications. AI Agents : Knowledge of AI Agents and their implementation. RESTful APIs : Ability to design and integrate with RESTful APIs for seamless data exchange and system interoperability. Microservices : Understanding of Microservices architecture and its application in building scalable and resilient AI systems. MLOps : Experience with MLOps practices to streamline the machine learning lifecycle, including automation, continuous integration, and continuous delivery. Serverless : Familiarity with Serverless computing concepts and their application in building efficient and cost-effective AI solutions. Containerized : Experience with Containerized environments, such as Docker and Kubernetes , for deploying and managing AI applications. Agile : Proven ability to work within an Agile development framework, collaborating effectively with cross-functional teams. Product Management : Understanding of Product Management principles and their application in defining and delivering successful AI -powered products. Reasoning : Ability to apply logical Reasoning to solve complex problems and make informed decisions. Tool-use : Proficiency in utilizing various AI and ML tools and frameworks. APIs : Experience with APIs and their integration. Data Pipelines : Ability to design and implement robust Data Pipelines for efficient data processing and transformation. Model Training : Expertise in Model Training techniques and best practices. Model Deployment : Experience with Model Deployment strategies and tools. Model Versioning : Ability to implement Model Versioning to track and manage different versions of AI models. Model Monitoring : Proficiency in Model Monitoring techniques to ensure the ongoing performance and accuracy of AI models. Model Governance : Understanding of Model Governance principles and their application in ensuring responsible and ethical use of AI . Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in the field of AI/ML is expected. This level of experience indicates a solid foundation in AI principles and a proven ability to contribute effectively to real-world projects. 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 (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 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 .

Embedded Systems Specialist III

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking an experienced Embedded Systems Specialist III to join our team in the Automotive industry. As an Embedded Systems Specialist III, you will be working onsite, utilizing your expertise in embedded systems and AI/ML to drive innovation and excellence in our products. Key Responsibilities Key responsibilities will include working with embedded systems , charge port detection , and Model Deployment of AI/ML models . The ideal candidate will have a strong understanding of how to apply AI/ML knowledge to embedded systems and contribute to the development of cutting-edge solutions. Required Skills & Qualifications The successful candidate will have 8-16 years of experience and possess skills in the following areas: AI/ML : Experience with artificial intelligence and machine learning concepts and their application to embedded systems Embedded systems : Knowledge of embedded systems and their development, including charge port detection Model Deployment : Understanding of how to deploy AI/ML models in embedded systems What We Offer We offer a competitive opportunity for an experienced professional to join our team and contribute to the Automotive industry. The selected candidate will work onsite, collaborating with our team to drive innovation and excellence.