GO Jobs in Bangalore

Google Cloud Engineer - SSE

SACHA Engineering•

Bengaluru

+4 More

Other Locations4 cities

Mumbai

Pune

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced Google Cloud Engineer - Site Support Engineer (SSE) to join our dynamic IT / Technology team. This is a hybrid role requiring a blend of on-site and remote work. 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 ensuring high availability, implementing robust security measures, and proactively identifying and resolving potential issues. The role requires a strong focus on automation and continuous improvement to optimize our cloud environment. Required Skills & Qualifications Education: A Bachelor’s degree in computer science or a related field, or a higher degree, is required. Experience: A minimum of 6-9 years of relevant experience in cloud engineering or a related field is expected. This level of experience indicates a seasoned professional capable of independently managing complex cloud environments and mentoring junior team members. DevOps: Demonstrated proficiency in DevOps principles and practices, with a focus on automation, continuous integration, and continuous delivery. Google Kubernetes Engine (GKE): Extensive experience with GKE , including cluster configuration, scaling, 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 applications and infrastructure. CI/CD: Proven ability to design and implement CI/CD pipelines using tools such as Cloud Build , Jenkins , and GitHub Actions . Kubernetes: Deep understanding of Kubernetes concepts, including Deployments , Services , and Ingress . Helm: Experience using Helm for package management and deployment of Kubernetes applications. Programming Languages: Proficiency in at least one or more of the following programming languages: Python , Bash , Go . GitOps: Knowledge of GitOps principles and experience with tools like ArgoCD . Cloud Governance: Understanding of Cloud Governance best practices and experience implementing policies and controls. Cost Management: Ability to monitor and optimize cloud costs. Compliance: Familiarity with compliance requirements and experience implementing security controls. Cloud Migration: Experience with Cloud Migration strategies and execution. System Reliability: A strong focus on System Reliability and the ability to design and implement highly available and resilient systems. High Availability & Redundancy: Experience designing and implementing High Availability and Redundancy solutions. Backup Strategies: Knowledge of effective Backup Strategies and implementation. Proactive Monitoring: Ability to implement Proactive Monitoring solutions to identify and resolve potential issues before they impact users. Process Efficiencies: A commitment to identifying and implementing Process Efficiencies to improve operational efficiency. Analytical Skills: Strong Analytical Skills to troubleshoot complex issues and identify root causes. Problem-Solving Skills: Excellent Problem-Solving Skills to effectively resolve technical challenges. Communication Skills: Exceptional Communication Skills to clearly and concisely communicate technical information to both technical and non-technical audiences. Relationship Building: Ability to build and maintain strong relationships with stakeholders across the organization. Planning & Prioritization: Strong Planning and Prioritization skills to manage multiple tasks and projects effectively. What We Offer Salary: ₹20,00,000 per annum.

Senior Functional Safety Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Senior Functional Safety Engineer to join our team within the Automotive industry. This is an onsite position requiring a strong understanding of functional safety principles and standards. Key Responsibilities The Senior Functional Safety Engineer will be responsible for ensuring the functional safety of automotive systems and components, adhering to industry standards and best practices. This role requires a proactive approach to identifying and mitigating potential hazards and risks throughout the product lifecycle. Required Skills & Qualifications Functional Safety : A comprehensive understanding of functional safety principles and their application to automotive systems. ISO 26262 : Extensive knowledge and practical experience with the ISO 26262 standard, including its various parts (Part 2, Part 3, Part 4, Part 5, Part 6). Hazard Analysis and Risk Assessments : Proficiency in conducting thorough Hazard Analysis and Risk Assessments (HARA) to identify potential hazards and associated risks. Safety Goals : Ability to define clear and measurable Safety Goals to mitigate identified risks. ASILs : A strong understanding of ASIL (Automotive Safety Integrity Level) determination and application. Functional Safety Concepts : Deep knowledge of Functional Safety Concepts and their implementation in automotive systems. Technical Safety Concepts : Ability to develop and implement Technical Safety Concepts to achieve the required safety level. Safety Requirements : Expertise in deriving and documenting detailed Safety Requirements based on hazard analysis and risk assessment results. System Architecture : Understanding of System Architecture and its impact on functional safety. Software Architecture : Familiarity with Software Architecture principles and their application to safety-critical systems. FMEA, FTA, FMEDA : Proficiency in performing FMEA (Failure Mode and Effects Analysis), FTA (Fault Tree Analysis), and FMEDA (Failure Modes, Effects, and Criticality Analysis). Safety Mechanisms : Ability to design and implement effective Safety Mechanisms to mitigate identified hazards. Safety Verification : Experience in planning and executing Safety Verification activities to ensure that safety requirements are met. Safety Validation : Expertise in conducting Safety Validation to confirm that the system meets its intended safety goals. Safety Cases : Ability to develop and maintain comprehensive Safety Cases to demonstrate the safety of the system. Safety Assessments : Experience in conducting Safety Assessments to evaluate the overall safety of the system. Communication Skills : Excellent written and verbal Communication Skills to effectively communicate safety-related information to stakeholders. Problem-Solving Skills : Strong Problem-Solving Skills to identify and resolve safety-related issues. ISO26262 Workproducts : Familiarity with the generation and management of ISO 26262 Workproducts . Automotive Embedded Software : Understanding of Automotive Embedded Software development and its role in functional safety. Software FTA : Ability to perform Software FTA to analyze potential software failures and their impact on safety. DFMEA, DFA : Knowledge of DFMEA (Design Failure Mode and Effects Analysis) and DFA (Design for Assembly). SysML : Familiarity with SysML (Systems Modeling Language) for system modeling and analysis. FMA : Understanding of FMA (Functional Modeling and Analysis). Functional Safety Validations : Experience in performing Functional Safety Validations . HW : Understanding of HW (Hardware) components and their impact on functional safety. Virtual : Experience with Virtual tools and techniques for functional safety analysis and simulation. Medini : Experience with Medini for functional safety management. Qualifications : A Bachelor's degree (B.E / B-Tech / M.E / M-Tech) is required. Experience Required : The ideal candidate will possess a minimum of 10 - 15 years of relevant experience in functional safety engineering within the automotive industry. This level of experience is expected to demonstrate a high degree of proficiency and leadership in functional safety practices. What We Offer Salary : 12 LPA - 23 LPA

Dashboard Development

RLE India Private Limited•

Chennai

•full time

job Description Develop dashboards, visualization layers, and user interfaces. Build responsive applications consuming analytics and transformation services. Domain Knowledge Frontend development (best practices, Design patterns) Developing RESTful API Cloud technology like GCP Git version control

Software Engineer – Backend

Be limitless•

Bengaluru

•full time

Job Summary We are seeking two Software Engineer – Backend professionals to join our growing team in Bengaluru. This is a full-time position within the IT / Technology industry. The ideal candidate will possess a strong foundation in backend development principles and a passion for building scalable and robust systems. Key Responsibilities While specific responsibilities will evolve with project needs, the Software Engineer – Backend will be expected to contribute to the full software development lifecycle, from design and implementation to testing and deployment. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality code. Required Skills & Qualifications To be successful in this role, candidates must demonstrate proficiency in the following areas: Python : Demonstrated ability to write clean, efficient, and well-documented Python code. Django : Experience building web applications using the Django framework, including understanding of its core concepts and best practices. Django REST Framework : Ability to design and implement REST APIs using Django REST Framework , ensuring adherence to industry standards. PostgreSQL : Strong understanding of relational database principles and experience working with PostgreSQL , including schema design, query optimization, and data integrity. REST APIs : Comprehensive knowledge of REST APIs , including design principles, implementation techniques, and best practices for building scalable and maintainable APIs. Git : Proficiency in using Git for version control, including branching, merging, and resolving conflicts. Docker : Experience containerizing applications using Docker , including creating Docker files and managing Docker images. Kubernetes : Familiarity with Kubernetes for container orchestration, including deploying and managing applications in a Kubernetes cluster. AI/ML APIs : Understanding of AI/ML APIs and experience integrating them into backend systems. Software Development Principles : Solid understanding of fundamental Software Development Principles , including object-oriented programming, design patterns, and code maintainability. Analytical Skills : Ability to analyze complex problems, identify root causes, and develop effective solutions. Problem-Solving Skills : Demonstrated ability to troubleshoot and resolve technical issues efficiently and effectively. Communication Skills : Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences. Qualifications : A Bachelor's degree in Computer Science, Information Technology, Electronics, or a related field is required. Experience Required : 1 - 3 years of experience in backend software development. This level of experience indicates a candidate who is capable of working independently and contributing meaningfully to a team, while still having opportunities for growth and learning. What We Offer Salary : 6 LPA - 10 LPA

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our dynamic team. This role will be responsible for building and deploying cutting-edge AI solutions, leveraging a variety of technologies and methodologies. The ideal candidate will possess a strong foundation in software engineering principles and a passion for AI innovation. Key Responsibilities The AI Build Engineer will be responsible for the design, development, and implementation of AI applications. This includes collaborating with cross-functional teams to define requirements, designing and building robust and scalable AI solutions, and ensuring the quality and reliability of deployed AI models. The role also involves continuous monitoring and optimization of AI systems to ensure peak performance and alignment with business objectives. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages including Python , JavaScript , TypeScript , and C# . This includes the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval-Augmented Generation (RAG): Experience with RAG techniques to enhance the capabilities of LLMs . Prompt Engineering: Expertise in Prompt Engineering to design effective prompts for LLMs . Vector Databases: Familiarity with Vector Databases and their use in storing and retrieving vector embeddings. Agentic AI: Knowledge of Agentic AI principles and their application in building autonomous agents. Cloud Platforms: Experience with cloud platforms such as Azure and AWS , including Azure AI Services , Azure OpenAI , AWS Bedrock , and Vertex AI . Containerization & Orchestration: Proficiency in Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines using tools like GitHub Actions and Azure DevOps . MLOps: Understanding of MLOps principles and best practices for managing the ML lifecycle. AI Application Integration: Ability to integrate AI applications into existing systems and workflows. Testing & Monitoring: Experience with AI-infused testing , Monitoring , and Observability tools and techniques. Governance: Understanding of Governance principles related to AI systems. API & Microservices: Experience with API development and Microservices architectures. Additional Skills: Familiarity with MCP , Playwright , and AI copilots . Qualifications: Possession of AI/Cloud certifications such as Azure AI Engineer or AWS ML is highly desirable. Experience Required: We are seeking candidates with 5-10 years of relevant experience in software engineering and AI development. This level of experience should demonstrate a proven ability to design, build, and deploy complex AI solutions in a production environment. What We Offer The role is onsite .

AI Build Engineer (GenAI / Agentic AI / AI Automation)

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•Full-time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our growing team. This role will focus on the development and implementation of cutting-edge AI solutions, specifically within the realms of GenAI , Agentic AI , and AI Automation . The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging AI to solve complex business challenges. This position is located in Bengaluru, Chennai, or Hyderabad. Key Responsibilities The AI Build Engineer will be responsible for designing, building, and deploying AI -powered applications and systems. This includes collaborating with cross-functional teams to define requirements, developing robust and scalable solutions, and ensuring the ongoing performance and reliability of deployed systems. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality AI solutions. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages is essential, including Python , JavaScript , TypeScript , and C# . Experience should demonstrate the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval Augmented Generation (RAG): Experience implementing RAG architectures to enhance LLM capabilities with external knowledge sources. Prompt Engineering: Expertise in crafting effective prompts to elicit desired responses from LLMs . Vector Databases: Familiarity with vector databases and their use in storing and querying vector embeddings. Agentic AI: Experience in developing and deploying Agentic AI systems, leveraging autonomous agents to perform complex tasks. Model Context Protocol (MCP): Understanding of MCP and its role in managing AI model context. Testing & Automation: Experience with Playwright and AI-infused testing solutions to ensure the quality and reliability of AI systems. Frameworks & Libraries: Proficiency in utilizing frameworks and libraries such as LangChain and LangGraph for building LLM -powered applications. Cloud Platforms: Experience with Azure OpenAI , AWS Bedrock , and Vertex AI for developing and deploying AI models. Containerization & Orchestration: Solid understanding of Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with GitHub Actions and Azure DevOps for implementing CI/CD pipelines. MLOps: Knowledge of MLOps principles and practices for managing the entire ML lifecycle. AI Copilots: Familiarity with AI copilots and their integration into development workflows. Autonomous Agents: Experience in designing and implementing autonomous agents for various tasks. API & Microservices: Experience designing and building APIs and microservices for AI applications. Infrastructure: Understanding of monitoring , observability , and governance best practices for AI systems. Security: Commitment to building secure and responsible AI solutions. Analytical & Problem-Solving Skills: Strong analytical skills and problem-solving skills to effectively troubleshoot and resolve issues. Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams. Experience Required: 5 - 10 years of experience in software engineering with a focus on AI development. This level of experience is expected to demonstrate a proven ability to design, build, and deploy complex AI systems. The candidate should be comfortable working independently and as part of a team, and possess a strong understanding of software development best practices. Qualifications: AI/Cloud certifications ( Azure AI Engineer , AWS ML , etc.) are preferred. What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and motivated AI Build Engineer to join our growing team. This role will focus on building, deploying, and maintaining robust and scalable AI solutions. The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging cutting-edge AI technologies. Key Responsibilities The AI Build Engineer will be responsible for the following: Developing and implementing AI models and applications using various programming languages and frameworks. Building and maintaining robust CI/CD pipelines for automated testing, building, and deployment of AI models. Ensuring the quality and reliability of AI solutions through rigorous testing and monitoring . Collaborating with cross-functional teams to define, design, and ship new features. Implementing and maintaining governance policies for AI models. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Proficiency in programming languages including Python , JavaScript , TypeScript , and C# . Experience with large language models ( LLMs ) and related techniques such as RAG (Retrieval Augmented Generation) and Prompt Engineering . Solid understanding of vector databases and their application in AI systems. Familiarity with Agentic AI concepts and implementation. Experience with Model Context Protocol (MCP) . Experience with testing frameworks such as Playwright . Experience with frameworks such as LangChain and LangGraph . Experience with cloud-based AI services including Azure OpenAI , AWS Bedrock , and Azure AI Services , and Vertex AI . Strong experience with containerization technologies such as Docker and orchestration platforms like Kubernetes . Experience with version control systems such as GitHub Actions and Azure DevOps . Knowledge of MLOps principles and practices. Familiarity with AI copilots and Autonomous agents . Experience with AI-infused testing solutions . Understanding of API design and development. Experience building Microservices architectures. Strong Analytical Skills , Problem-Solving Skills , and Communication Skills . Experience Required: 5 - 10 years of experience in software engineering with a focus on AI/ML. This level of experience indicates a seasoned professional capable of independently designing, developing, and deploying complex AI solutions. The candidate should be comfortable working in a fast-paced environment and collaborating with a diverse team of engineers and researchers. What We Offer Salary:

CATIA CAA RADE Developer / CATIA Customization Engineer.

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled CATIA CAA RADE Developer / CATIA Customization Engineer to join our team. This role will focus on developing and customizing CATIA solutions using CATIA CAA RADE , ensuring optimal performance and alignment with business needs. The position requires an onsite presence. Key Responsibilities This role involves a deep understanding of CATIA and its customization capabilities. You will be responsible for developing and maintaining CATIA applications, addressing complex technical challenges, and ensuring the stability and efficiency of CATIA environments. Required Skills & Qualifications Education: A Bachelor's or Master's degree in Mechanical Engineering, Automotive Engineering, Aerospace Engineering, Computer Science, or a related discipline is required. Experience: 5-6 years of experience in software development, with a strong focus on CATIA customization and development. This level of experience indicates a seasoned professional capable of independent work and mentoring junior team members. CATIA CAA RADE: Extensive proficiency in CATIA CAA RADE development, including a thorough understanding of its capabilities and limitations. CATIA V5: Strong working knowledge of CATIA V5 architecture and its functionalities. Programming Languages: Expertise in C++ and proficiency in C# and VBA for CATIA automation. Object-Oriented Programming (OOP): Solid understanding of OOP principles, including Inheritance , Polymorphism , and Templates , to design and implement robust and maintainable CATIA customizations. Memory Management: Demonstrated ability to manage memory effectively, utilizing techniques like STL to prevent memory leaks and optimize performance. CATIA Architecture & Frameworks: Deep understanding of CATIA architecture , CATIA frameworks , and CATIA interfaces , enabling efficient development of custom solutions. CAA APIs: Proficiency in utilizing CAA APIs to extend CATIA functionality and integrate with other systems. Geometric Modeling: Strong grasp of CATIA geometric modeling concepts , including 3D geometric entities , CAD geometry , and Geometrical entities . Coordinate Systems: Solid understanding of Coordinate Geometry , including Vectors , Matrices , Coordinate systems , Transformation matrices , Translation , Rotation , Scaling , Local coordinate systems , and Global coordinate systems . Mathematical Operations: Proficiency in performing mathematical operations such as Dot product , Cross product , calculating Distances , and Angles , as well as utilizing Projection and Normal vectors . CATIA Automation: Experience with CATIA V5 Automation APIs for automating tasks and workflows. CATIA Knowledgeware: Familiarity with CATIA Knowledgeware and EKL for creating and managing knowledge-based engineering solutions. CATIA UI Development: Ability to develop custom CATIA UI elements, CATIA dialogs , and CATIA commands . Data Exchange Formats: Knowledge of data exchange formats such as CGM , STEP , IGES , STL , and DXF . Geometric Algorithms: Understanding of geometric algorithms, including Intersection , Convex hull , Collision detection , and Interference detection . Version Control: Experience using GitHub for version control and collaboration. Analytical & Problem-Solving Skills: Demonstrated Analytical Skills and Problem-Solving Skills to effectively troubleshoot and resolve complex technical issues.

Sourcing Buyer

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Sourcing Buyer to join our Procurement team. This role will be responsible for sourcing and procuring materials and services, ensuring cost-effectiveness, and maintaining strong supplier relationships. The ideal candidate will possess a strong analytical background and a proven ability to negotiate favorable terms and conditions. Key Responsibilities The Sourcing Buyer will be responsible for a range of tasks including, but not limited to, managing the RFQ and RFP processes, generating Purchase Orders , and conducting thorough Supplier Evaluation and Supplier Selection . They will also be expected to identify opportunities for Cost Reduction and contribute to Supplier Development initiatives. Required Skills & Qualifications Analytical Skills: Demonstrated ability to analyze data, identify trends, and make data-driven decisions to optimize sourcing strategies. Problem-Solving Skills: A proactive approach to identifying and resolving sourcing challenges, with a focus on finding creative and effective solutions. Communication Skills: Excellent written and verbal communication skills to effectively interact with internal stakeholders and external suppliers. Negotiation: Proven ability to negotiate favorable terms and conditions with suppliers, securing optimal pricing and quality. Commercial Skills: A strong understanding of commercial principles and practices, including Incoterms , Commercial Terms , and Legal Terms . RFQ/RFP Management: Experience managing the full cycle of RFQ (Request for Quotation) and RFP (Request for Proposal) processes. Purchase Order Management: Proficiency in generating and managing Purchase Order documentation. Cost Breakdown Analysis: Ability to analyze Cost Breakdown structures to identify cost drivers and opportunities for improvement. Supplier Evaluation & Selection: Experience in conducting thorough Supplier Evaluation and Supplier Selection processes. Cost Reduction Initiatives: A track record of identifying and implementing Cost Reduction initiatives. Supplier Development: Ability to contribute to Supplier Development programs to improve supplier performance. Stakeholder Management: Strong Stakeholder-Management Skills to effectively collaborate with internal teams. Technical Proficiency: Proficiency in MS Excel for data analysis and reporting. ERP Systems: Experience working with ERP Systems , including SAP , Oracle , and NetSuite . Supplier Management: Proven ability to manage and maintain strong supplier relationships. NPD and Localization experience is a plus. Alternate Supplier Development experience is a plus. VA/VE experience is a plus. Raw Material Price Movements and Indices understanding. Supply Base Acumen . Familiarity with the Automotive and Aerospace industries. Knowledge of Precision Machined Parts , Sliding Heads , VMC , and HMC . Understanding of Post Treatment Processes , including Heat Treatment , Plating , and Coating . Experience with Castings , SGI , PDC , GI , and Aluminium Housings . Knowledge of Machining , Fasteners , and Plastics . Understanding of Injection Molding Processes . Experience with Cost Models . Familiarity with High Speed Stampings , Electrical Parts , PCB , and Wiring Harnesses . Qualifications: A Bachelor’s degree in Engineering with a Post Graduate Degree in Procurement , Business Administration , or a related field is required. What We Offer Experience Required: We are seeking candidates with 4 - 8 years of relevant experience. This level of experience indicates a readiness to assume a mid-level role with increasing responsibility within the sourcing function. 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