Azure Infrastructure Engineer Jobs in Hyderabad

Azure Infrastructure Engineer Role Overview: We are seeking an experienced Azure Infrastructure Engineer to join our growing team. The ideal candidate will have hands-on expertise in Azure Resource Management, PaaS services, Compute services, Networking, Storage, Identity & Access Management, Monitoring & Diagnostics, and DevOps practices. You will play a pivotal role in designing, implementing, and maintaining our Azure infrastructure, ensuring it supports a wide range of applications and services. Key Responsibilities: Design & Implement Infrastructure Solutions: Architect scalable, secure, and highly available Azure infrastructure using Azure Resource Manager to meet business and application requirements. Manage Azure PaaS Services: Configure and manage Azure PaaS services (such as Azure App Services, Azure Functions, and Azure SQL Database) to optimize application performance, reliability, and scalability. Oversee Azure Compute Services: Manage and configure Azure Compute Services, including Virtual Machines, App Services, and Container Instances, ensuring efficient resource usage and performance. Networking & Security: Implement networking solutions within Azure, including Virtual Networks, Network Security Groups, and VPN gateways, ensuring secure and efficient network communication. Storage Solutions: Design, implement, and manage Azure storage solutions to ensure high availability, security, and efficient data access for applications. Identity & Access Management: Implement Identity and Access Management (IAM) solutions with Azure Active Directory and Role-Based Access Control (RBAC) to maintain secure user access and permissions across the infrastructure. Monitoring & Diagnostics: Utilize Azure Monitoring and Diagnostics tools to monitor infrastructure performance, identify issues, and ensure optimal operational efficiency. DevOps Integration: Work closely with DevOps teams to integrate infrastructure solutions with CI/CD pipelines, ensuring seamless application deployment, updates, and management. Documentation: Maintain detailed documentation of infrastructure configurations, best practices, and operational procedures for consistency and knowledge sharing across teams. Continuous Improvement: Stay updated with the latest Azure services, features, and best practices. Proactively recommend improvements to enhance infrastructure performance, security, and cost-efficiency. Skills & Qualifications: Education: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Azure Resource Management: Strong understanding of Azure Resource Manager, deployment automation, and infrastructure-as-code (IaC) practices. Azure PaaS Services: Proven experience managing Azure App Services, Azure Functions, and Azure SQL Database to optimize cloud application performance. Azure Compute Services: Expertise in managing and configuring Virtual Machines, App Services, and Container Instances for compute workloads. Networking Expertise: In-depth knowledge of Azure networking concepts, including Virtual Networks, Network Security Groups, and VPN solutions. Storage Solutions: Solid experience with Azure storage solutions (e.g., Blob Storage, Disk Storage) and best practices for data management and security. Identity & Access Management: Proficiency in Azure Active Directory and Role-Based Access Control (RBAC) for user and resource management. Monitoring & Diagnostics: Experience with Azure Monitoring and Azure Diagnostics tools to maintain system performance and troubleshoot issues. DevOps Knowledge: Familiarity with DevOps practices and experience working with CI/CD pipelines, automation tools, and infrastructure-as-code frameworks (e.g., ARM templates, Terraform). Additional Information: Role: Azure Infrastructure Engineer Department: Cloud Engineering Industry: IT Services Employment Type: Full-time, Permanent Role Category: Infrastructure Engineering Qualification : Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Performance Test Engineer Full-Time | Hyderabad, India Department: Engineering Experience: 4 to 6 Years Location: On-site | Hyderabad, Telangana Work Hours: Flexibility to support US time zone Salary: Competitive, based on experience Job Summary We are hiring a skilled and analytical Performance Test Engineer to lead and execute performance testing initiatives for our enterprise-grade applications. This role is ideal for someone with hands-on experience in load testing, scalability analysis, and performance bottleneck resolution using tools like JMeter or LoadRunner. You'll collaborate with cross-functional teams to optimize system performance and ensure a seamless user experience at scale. Key Responsibilities Design and implement comprehensive performance test plans, including load, stress, and scalability testing. Identify and diagnose performance bottlenecks in backend systems, APIs, and databases. Collaborate with software developers, DevOps, and QA engineers to resolve performance issues and optimize infrastructure. Execute performance test scenarios using tools such as Apache JMeter, LoadRunner, or similar performance testing frameworks. Write and maintain performance test scripts and automation tools as required. Analyze test results, generate reports, and provide actionable insights and recommendations for system improvements. Advocate for performance engineering best practices across teams. Contribute to system architecture and capacity planning by offering data-driven insights. Stay up to date on emerging trends, tools, and methodologies in performance engineering and testing. Provide regular updates and performance metrics reports to leads and stakeholders. Required Skills & Qualifications Bachelor s degree in Computer Science, Engineering, or related discipline. 4 6 years of experience in software testing, with at least 2+ years of dedicated performance testing experience. Proficient in tools like JMeter, LoadRunner, or similar performance testing platforms. Strong scripting and debugging skills experience in Java or Python is a plus. Excellent understanding of SQL queries and database concepts for backend performance testing. Strong knowledge of SDLC and STLC, including test planning, test case creation, defect tracking, and reporting. Solid problem-solving skills with the ability to think critically and troubleshoot complex systems. Strong interpersonal and communication skills for collaboration with global teams. Ability to work during US time zones, when required. Preferred/Bonus Skills (Good to Have) Hands-on experience with Azure or other cloud platforms. Exposure to CI/CD pipelines and performance testing within DevOps workflows. Knowledge of additional scripting languages (e.g., Shell, PowerShell, Bash). Experience with monitoring tools like Grafana, New Relic, or Dynatrace. Work on high-scale enterprise platforms with real performance challenges. Collaborate with talented engineers across multiple geographies. Flexible work hours supporting US-based clients. Competitive salary and growth-oriented culture. Apply today to join us as a Performance Test Engineer in Hyderabad and help us scale our applications to the next level of performance and reliability!

Senior Engineer SaaS | Hyderabad, India Department: Engineering Employment Type: Full-Time Experience: 3+ Years Location: Hyderabad (On-site/Hybrid) Job Overview We are looking for a skilled Senior SaaS Engineer to join our dynamic engineering team in Hyderabad. In this role, you will be instrumental in transitioning ZL Tech s flagship products to a highly scalable, reliable, and performant SaaS platform. You will design and develop cloud-native microservices and work collaboratively across global teams to deliver high-quality software solutions. Key Responsibilities Collaborate with geographically distributed engineering teams to migrate and enhance applications into scalable, reliable, and high-performance SaaS architecture. Lead the transition from monolithic systems to microservices architecture ensuring modularity and scalability. Work closely with product managers, architects, and cross-functional teams to gather requirements and translate them into robust technical solutions. Develop and maintain RESTful APIs to support scalable service integrations. Build, deploy, and maintain containerized applications using Kubernetes and related container technologies. Implement and improve DevOps practices including CI/CD pipelines for faster and reliable software delivery. Operate effectively in a fast-paced environment while delivering quality code on schedule. Required Qualifications Bachelor s or Master s degree in Computer Science, Information Technology, or related engineering discipline. Minimum of 3 years hands-on experience building large-scale distributed systems with a focus on scalability and reliability. At least 2 years of professional experience with Kubernetes and container orchestration platforms. Proven experience in cloud-native application development, preferably on platforms such as AWS, Azure, or GCP. Strong expertise in designing and building REST APIs for SaaS environments. Solid understanding of DevOps culture and practical experience implementing CI/CD pipelines using tools like Jenkins, GitLab CI, or similar. Preferred Skills Experience with microservices frameworks such as Spring Boot, Node.js, or equivalent. Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack). Knowledge of security best practices for SaaS applications and cloud infrastructure. Work on cutting-edge SaaS product development with a global engineering team. Grow your expertise in cloud-native technologies and microservices architectures. Opportunity to impact product design and lead innovations in scalable distributed systems. Competitive salary and benefits, with a focus on continuous learning and career growth. Apply today to be part of a forward-thinking company shaping the future of SaaS technology in Hyderabad! Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related engineering discipline.

Lead Engineer Infrastructure Location: Hyderabad Company: Arcesium Company Overview Arcesium is a global financial technology firm tackling complex, data-driven challenges for some of the world s most sophisticated financial institutions. With a focus on continuous innovation, we develop powerful, scalable solutions that empower our clients to achieve transformational business outcomes. As a leader in fintech, Arcesium combines cutting-edge technology with a deep understanding of finance, setting us apart as we continue to scale and expand into new strategic opportunities. We are a culture of intellectual curiosity, ownership, and collaboration, where team members contribute meaningfully from day one and grow rapidly in their careers. About the Role We are looking for a Technical Lead Infrastructure to join our core engineering team in Hyderabad. This high-impact team is responsible for the backbone infrastructure that powers Arcesium s global fintech platform, including Linux Compute, Networking, Observability, SDLC, Access & Identity Management, and Storage, primarily deployed over AWS and Kubernetes. As a Lead Engineer, you will serve as a technical authority, driving architecture decisions, ensuring high engineering standards, and leading initiatives that deliver critical infrastructure capabilities. What You'll Do Own and serve as Subject Matter Expert (SME) for one or more core infrastructure subsystems. Lead by example across coding, testing, scalability, documentation, and code quality best practices. Contribute to and lead architecture and design discussions, evaluate technical trade-offs, and drive consensus. Lead project execution and delivery take ownership of project timelines and technical direction. Automate and optimize infrastructure services and system operations. Promote a culture of transparent, written collaboration and continuous process improvement. Drive adoption of engineering best practices across the team and mentor junior engineers. What You'll Need 6+ years of hands-on engineering experience with a strong background in: Programming languages: Java, Python, React Systems and infrastructure tools (e.g., Linux, Kubernetes, AWS, SFTP, Kerberos) Access & Identity Management and Service Discovery Proven experience in: Designing and managing microservices architectures Building robust CI/CD pipelines and automation tools Operating and troubleshooting large-scale distributed systems Implementing observability frameworks (monitoring, logging, alerting) Strong understanding of cloud-native architectures, particularly in AWS environments. A security-first mindset, especially around access control and authentication. Excellent communication, collaboration, and leadership skills. Passion for clean code, system design, and solving deep infrastructure challenges. Bonus Points For: Exposure to modern infrastructure-as-code tools (e.g., Terraform, Ansible). Experience in financial services or working with regulated environments. Contributions to open-source infrastructure tools or communities. Impact: Work on critical systems that power global financial institutions. Culture: A collaborative, respectful, and inclusive workplace. Growth: Accelerate your development with a steep learning curve and autonomy. Purpose: Help shape the future of financial technology. Arcesium is proud to be an equal opportunity employer. Diversity and inclusion are core to our values not just legal commitments. We encourage individuals from all backgrounds to apply.

Lead / Senior DevOps Engineer SRE, Public Cloud & Automation (Hyderabad, India) Full-Time | Software Engineering | Salesforce Hyderabad Drive Automation. Build Scalable Systems. Shape the Future of Cloud Engineering. Join Salesforce as a Lead or Senior DevOps Engineer and play a critical role in operating one of the world s most advanced multi-cloud, microservices, and Kubernetes-based platforms. This is your opportunity to work on high-impact distributed systems that serve tens of millions of users across industries every single day. If you're passionate about DevOps, Site Reliability Engineering (SRE), infrastructure automation, and public cloud platforms, and thrive in fast-paced environments, this role is for you. What You ll Do Maintain and scale a large fleet of Kubernetes clusters powering core Salesforce services and applications Automate everything: from provisioning to deployment and monitoring using tools like Terraform, Python, Go, Spinnaker, and Puppet Ensure high availability, reliability, and performance of large-scale distributed systems Troubleshoot complex, multi-layered production issues across compute, network, and storage layers Implement self-healing systems, smart alerts, and observability solutions using tools like Grafana, Prometheus, Nagios, Zabbix Collaborate closely with engineering, architecture, and platform teams across Salesforce Evaluate and integrate emerging technologies to drive platform resilience, scalability, and automation Required Skills & Qualifications 7+ years of hands-on DevOps or Site Reliability Engineering (SRE) experience in production environments Strong background in Linux systems administration and internals Fluent in scripting or programming languages like Python, Golang, or Bash Deep knowledge of Kubernetes, Docker, and service mesh technologies Experience with AWS (Amazon Web Services) and Infrastructure as Code (IaC) tools like Terraform Strong understanding of networking concepts: TCP/IP, load balancing, switches, DNS, firewalls Familiarity with CI/CD pipelines using tools like Jenkins, Spinnaker, or similar Proficiency in using configuration management tools: Puppet, Chef, or Ansible Proven troubleshooting skills in large-scale distributed systems and cloud-native architectures A continuous learner with strong analytical thinking and collaborative communication skills Preferred / Bonus Skills Prior experience in SRE ownership of large-scale SaaS platforms Experience working with multi-region deployments and resilient architectures Hands-on knowledge of API integration with public cloud vendors (AWS, Azure, GCP) Exposure to data durability, high-availability storage systems, and clustering solutions Perks & Benefits Industry-leading benefits including healthcare, fertility support, adoption & parental leave Well-being reimbursement and generous time-off policies Continuous learning through Trailhead and world-class enablement Mentorship and leadership coaching with executive exposure Opportunities to give back via Salesforce s 1:1:1 philanthropy model Join us in redefining the DevOps landscape and making scalable, secure, and self-healing systems the foundation of modern enterprise software.

Data Architect Hyderabad Experience: 10-17 Years Job Type: Full-Time | On-site/Hybrid Location: Hyderabad, India Industry: Data Engineering / Cloud Architecture Job Overview We are looking for an experienced Data Architect with 10+ years of expertise in designing, optimizing, and managing enterprise-scale data architectures on Azure Cloud. The ideal candidate will lead efforts to enhance data pipeline performance, ensure robust data governance, and drive cost-effective cloud resource utilization. If you excel in architecting scalable, secure, and high-performing data solutions, this is your chance to join a dynamic team in Hyderabad. Key Roles & Responsibilities Design, optimize, and maintain data pipelines, ETL processes, and complex queries to maximize performance and scalability. Improve query execution plans, indexing strategies, and optimize storage in Azure SQL, Azure Synapse Analytics, and Azure Data Lake. Implement advanced data management techniques such as data partitioning, caching, and compression for efficient data processing. Monitor cloud resource consumption and implement cost-saving strategies without impacting system performance. Optimize use of Azure services including Databricks, Data Factory, Synapse Analytics, and storage accounts to balance performance and cost. Establish and enforce coding standards, design patterns, and best practices for data pipeline development and cloud infrastructure management. Define and implement data governance, security, and compliance policies aligned with organizational and regulatory requirements. Develop and oversee CI/CD pipelines using DevOps methodologies tailored to data engineering workflows. Implement monitoring, alerting, and logging solutions using Azure Monitor, Log Analytics, and Application Insights to ensure system reliability. Architect solutions for high availability and disaster recovery to maintain business continuity. Optimize Power BI data models, DAX queries, and report performance; ensure governance and data refresh strategies meet business needs. Collaborate with cross-functional teams and business stakeholders to translate requirements into scalable and actionable data insights. Required Skills & Qualifications 10+ years of experience in data architecture, cloud data engineering, or related roles. Deep expertise in Azure Cloud data services: Azure SQL, Synapse Analytics, Data Lake, Databricks, Data Factory. Strong background in ETL pipeline optimization, query tuning, and storage management. Proven experience with data governance, security frameworks, and compliance standards. Familiarity with DevOps principles, especially CI/CD for data workflows. Expertise in monitoring tools like Azure Monitor, Log Analytics, and Application Insights. Hands-on experience optimizing Power BI solutions, including data modeling and report design. Excellent communication and stakeholder management skills. Work on large-scale, cutting-edge data projects impacting enterprise business decisions. Collaborate with a passionate, skilled team in a fast-paced, innovative environment. Competitive salary and benefits package. Opportunity to shape the future of data architecture within a leading organization. Apply Today If you are an expert Data Architect ready to take your career to the next level with advanced Azure data technologies, apply now and join our Hyderabad team!

Data Engineering Support Engineer SIMA (5+ Years) Hyderabad Location: Hyderabad, India Job Type: Full-Time | On-site/Hybrid Experience: 5+ Years Industry: Data Engineering / Cloud Support Job Overview We are seeking an experienced Data Engineering Support Engineer with a strong background in maintaining and optimizing data pipelines, ensuring platform reliability, and supporting cloud data infrastructure. This role is critical to sustaining smooth data operations for the SIMA platform in Hyderabad. Key Responsibilities Maintain and support data pipelines and transformations on Azure cloud platforms. Ensure platform stability and reliability through proactive monitoring and issue resolution. Manage scheduling and monitoring using Azure Data Factory (ADF) triggers, Azure Monitor, and Log Analytics (KQL). Handle data ingestion and validation workflows via ADF, Event Hub, APIs, and PySpark, including managing schema drift. Manage CI/CD pipelines using Azure DevOps YAML, deploying solutions for ADF, Synapse, and Databricks. Optimize data transformations and performance using PySpark and Delta Lake techniques like partitioning and caching. Implement and maintain security best practices using Azure RBAC, Key Vault, NSGs, and Integration Runtime configuration. Conduct Root Cause Analysis (RCA), document findings, maintain disaster recovery playbooks, and implement proactive alerting. Required Skills 5+ years of hands-on experience in data engineering support roles. Expertise in Azure Data Factory (ADF) scheduling, triggers, and monitoring. Proficient with PySpark for data transformations and performance optimization. Experience with Delta Lake optimizations including partitioning and caching. Skilled in CI/CD practices using Azure DevOps for deploying data workflows. Strong knowledge of Azure security features: RBAC, Key Vault, Network Security Groups (NSGs). Ability to perform detailed Root Cause Analysis (RCA) and develop disaster recovery strategies. Familiarity with data ingestion tools like Event Hub and API integrations. Experience with Kusto Query Language (KQL) for Log Analytics queries. Join a dynamic team maintaining critical data infrastructure supporting business operations. Work with advanced Azure data services and cloud-based data platforms. Competitive salary and comprehensive benefits. Opportunity for growth and skill development in cloud data engineering. Apply Now If you are a detail-oriented data engineering professional with expertise in Azure platform support, apply today to become a vital part of our Hyderabad-based SIMA team!

Sr Engineer/Sr. Lead - Generative AI Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. In this role, you will develop and deploy advanced generative AI systems, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent frameworks. Minimum Qualifications Bachelor's degree and 3+ years of software engineering experience, or Master's degree and 2+ years, or Ph.D. with 1+ year of related experience 2+ years of academic or work experience in programming languages such as C, C++, Java, or Python Key Responsibilities Design and implement RAG-based solutions integrating LLMs with external knowledge sources Fine-tune LLMs for specific domains and use cases Develop evaluation frameworks to benchmark and improve generative model performance Build and manage agentic workflows for autonomous AI systems Collaborate with product, engineering, and research teams on AI integration Required Qualifications Bachelor's or Master's in Computer Science or related field 3+ years of experience in Machine Learning/AI engineering Expertise in Python and ML libraries/frameworks like PyTorch and TensorFlow Hands-on experience deploying and fine-tuning LLMs Experience with vector databases and embedding models Familiarity with AI/ML infrastructure on cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architecture Preferred Qualifications Experience with Langchain, LlamaIndex, or Hugging Face Transformers Knowledge of prompt engineering and chain-of-thought reasoning Experience with microservices and containerization (e.g., Docker, Kubernetes) Background in NLP, deep learning, and reinforcement learning Contributions to open-source AI projects Familiarity with MLOps and model deployment pipelines Skills & Competencies Strong problem-solving and analytical mindset Excellent communication and collaboration skills Ability to manage multiple projects in agile environments Focus on clean, maintainable, and efficient code Awareness of ethical AI practices and responsible development Qualification : Bachelor's or Master's in Computer Science or related field

Job Title: AWS DevOps Engineer / Architect Location: Hyderabad Job Type: Full-time Salary: Negotiable Position Overview: We are looking for an experienced AWS DevOps Engineer / Architect to join our team. In this role, you will work with a wide range of AWS services and DevOps tools, enabling the efficient deployment and operation of software in cloud environments. The ideal candidate will have extensive experience in AWS architecture, CI/CD, EKS, CloudFormation, and various DevOps tools and technologies. Key Responsibilities: AWS Infrastructure: Design, implement, and manage AWS cloud infrastructure with a focus on CloudFormation, Lambda, EKS, and other AWS services. Containerization and Orchestration: Manage Docker and Kubernetes environments, ensuring seamless container orchestration and deployment. CI/CD Pipelines: Build and maintain CI/CD pipelines using tools like Jenkins, Bamboo, Azure DevOps, and TeamCity. Scripting and Automation: Develop scripts for automation using languages such as Shell, PowerShell, and Python. Monitoring and Logging: Implement monitoring and logging solutions using tools like Datadog, Splunk, and Wiz to track the performance and health of infrastructure. Collaboration: Work closely with development teams to ensure smooth integration and deployment processes. Infrastructure as Code: Write and maintain infrastructure code using Terraform and AWS CloudFormation. Agile Environment: Work in an Agile environment using tools such as JIRA to manage tasks and collaborate with team members. Security and Best Practices: Ensure the security, performance, and scalability of cloud infrastructure, following industry best practices. Microservices: Work with microservice architectures and ensure the efficient deployment and scaling of services. Qualifications: Educational Qualification: Bachelor s degree in Computer Science, Engineering, or a related field. Experience: 5+ years hands-on experience with AWS services, including Lambda, CloudFormation, EKS, CodePipeline. 3+ years experience with Docker and Kubernetes at an enterprise level. 5+ years experience in CI/CD with tools such as Jenkins, Bamboo, Azure DevOps, and TeamCity. Experience with scripting languages like Shell, PowerShell, Python. Knowledge of microservice architecture, API management, and networking concepts such as DNS, Ingress, LB. Experience with monitoring/logging tools like Datadog, Splunk, and Wiz. Linux experience (at least 3+ years) and Windows Server experience (2-3+ years). Additional Skills: Knowledge of C#, .NET, Java, and object-oriented programming concepts is a plus. Experience with version control systems like GitHub, TFS. Familiarity with security best practices in cloud environments. Preferred Qualifications: AWS Certification is a plus (e.g., AWS Certified Solutions Architect or AWS Certified DevOps Engineer). Other Details: Notice Period: Immediate or negotiable Work Environment: Hybrid work model (combination of remote and on-site) Salary: Negotiable based on experience If you are an experienced AWS DevOps Engineer/Architect with a passion for cloud infrastructure, CI/CD, and automation, we would love to hear from you. Join our dynamic team and help drive innovation in cloud architecture and DevOps practices. Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

Job Title: Senior Consultant - FS Developer Tech Engineer Location: Hyderabad Entity: Financial Services Your Role Work across the entire solution lifecycle, including requirement analysis, front-end and back-end development, design, system integration, architecture, and support. Analyze root causes of incidents and provide well-thought-out solutions. Document the resolutions provided and share them with relevant stakeholders. Support the business by providing effort estimations and conducting feasibility studies. Perform code reviews and share the findings with colleagues to improve the quality of deliverables. Your Team You will be working as part of the End User Artificial Intelligence and Transformation team. This team develops end-user automation and solutions, based in Pune and London. We are a technology-driven team focused on end-user services, developing, integrating, testing, documenting, maintaining, supporting, and decommissioning technology solutions aimed at solving business problems. Your Expertise We re looking for someone with: Several years of experience as a software developer (experience within financial services is a plus). Expertise in Typescript, JavaScript, CSS, and frameworks such as Angular 12+, ReactJS, and NodeJS. Experience with MS SQL Server including writing and optimizing stored procedures, creating views, and managing database performance. Strong understanding of Azure services, Function Apps, Infrastructure as Code (IaaC), and GitLab. Expertise in building web service-based REST APIs. Knowledge in web development tools and data modeling. Expertise in HTML5, Bootstrap, Client-Side Development, SASS/LESS, CSS3, and Responsive Design. The ability to build client-side applications for both web browsers and mobile devices. Experience in developing tools leveraging complex data sources. Knowledge of integrating UX design and engineering into products for a seamless user experience. Experience in desktop application development. Bonus: Experience developing style guides or UX wireframes. You Are: An excellent communicator and negotiator who can articulate complex technical concepts clearly. A self-starter, capable of independently creating innovative solutions. Fluent in English, both spoken and written. Analytical and logical, able to solve problems in an efficient and effective manner. Result-oriented and assertive, with a positive attitude towards challenges. Motivated, self-directed, and driven to achieve excellence. Methodical, concise, and accurate, with a strong attention to detail. Why You Should Join Us At Deloitte, we provide an environment where you can grow your skills and be part of a team that is shaping the future of the industry. If you are a driven individual who thrives in solving complex technical challenges, this is the place to take your career to the next level. This Senior Consultant role offers an exciting opportunity to contribute to cutting-edge projects in Financial Services technology development. If you are passionate about creating solutions that matter, we encourage you to apply.

Job Title: Azure DevSecOps Engineer Experience: 5-8 Years Location: Hyderabad About Us: We are a leading technology solutions provider focused on delivering secure, scalable, and innovative cloud solutions. As part of our expansion, we are looking for an experienced Azure DevSecOps Engineer to join our dynamic team. If you have expertise in Azure cloud services, security practices, and DevSecOps automation, we would love to have you onboard! Responsibilities: Cloud Services: Work extensively with Azure cloud services such as IAAS and PAAS, as well as Azure Data Bricks and Azure Data Factory (ADF) for managing data pipelines and analytics workflows. Ensure the security and scalability of cloud services and platforms. Azure Security & Policies: Manage Azure Active Directory (Azure AD) configurations and user access. Implement and maintain Azure Policies to enforce governance and compliance across Azure resources. Ensure secure management of cloud resources using industry-standard security practices. Networking & Monitoring: Work on Azure networking components and security, including network security groups, virtual networks, and firewalls. Configure and monitor Azure Monitoring and third-party monitoring tools to track and report performance, security, and availability metrics of cloud infrastructure. DevSecOps Automation: Implement Azure DevOps pipelines (YAML pipelines) for continuous integration and continuous deployment (CI/CD). Automate Infrastructure as Code (IAC) using Terraform or Bicep to provision and manage Azure resources in a scalable and efficient manner. Collaboration & Documentation: Work closely with cross-functional teams to ensure secure, automated, and reliable cloud infrastructure deployments. Provide documentation for cloud infrastructure, automation processes, and security procedures to maintain standard operating practices. Requirements: Experience: Total 5-7 years of experience in IT infrastructure and cloud technologies, with at least 2-3 years of hands-on experience in Azure cloud services, specifically IAAS, PAAS, Azure Data Bricks, and Azure Data Factory (ADF). Technical Skills: Expertise in Azure AD, Azure Policies, and Azure Networking and Security. Strong experience with Azure Monitoring and third-party monitoring tools for cloud infrastructure. Proficient in Azure DevOps and YAML pipelines for CI/CD automation. Hands-on experience with Infrastructure as Code (IAC) tools like Terraform or Bicep to automate cloud resource provisioning. Soft Skills: Excellent communication and collaboration skills to work with cross-functional teams and clients. Ability to troubleshoot and resolve complex cloud infrastructure issues. Strong problem-solving and analytical skills, with a focus on security in cloud infrastructure. Innovative Environment: Work with cutting-edge cloud technologies in a forward-thinking, fast-paced environment. Growth Opportunities: Enjoy continuous learning and career development through training and certifications. Collaborative Culture: Join a team of talented professionals committed to innovation and quality. Competitive Compensation & Benefits: Receive a competitive salary and comprehensive benefits package. Apply Today! If you're an experienced Azure DevSecOps Engineer with a passion for cloud security, automation, and DevOps, we invite you to apply and be part of our growing team!

Summary: As an AI/ML Developer, you ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Title: Software Engineer Experience: 2-5 years. Skill: AI/ML, Python, AWS, SQL Location: Hyderabad Key Responsibilities: Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements: Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding: Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor s or Master s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor: Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.

Job Description Outline of responsibilities We are hiring a Senior Information Security Analyst to work in our growing IT Security team. You will monitor our digital environment for security issues, respond to security requests, install and operate security software, and document any security issues or breaches you find. To do well in this role you should have a bachelor's degree in computer science and / or experience in the information security field. The Group Senior Information Security Analyst should develop and operate the activities below: Threat Monitoring & Detection Proactively monitor security alerts using SIEM as part of our SOC, EDR, NIDS/NIPS, and other detection tools. Analyze logs and events to identif suspicious or malicious activities. Incident Response & Investigation Investigate security incidents, assess their impact, and recommend corrective actions. Lead and coordinate incident response efforts, ensuring rapid containment and mitigation. Perform root cause analysis to prevent future incidents. Security Operations & Risk Management Maintain and optimize security monitoring tools and processes. Contribute to the development and enforcement of security policies, procedures, and standards. Assist in vulnerability management by identifying, assessing, and remediating security gaps. Support security awareness initiatives by educating employees on cybersecurity best practices. User Support Provide guidance and support to users on security tools and processes, ensuring they are used correctly and efficiently. Respond to security request on ticketing solutions As Senior Information Security Analyst, you can take initiative and work autonomously. You have a good understanding of the current Security posture, and you can take decisions in your area of responsibility. You provide support to Blue Team Leads/IT Security Managers and participate actively in key projects. Qualifications GISA Education/Training/Qualifications/Profile Technical Skills Strong experience with SIEM platforms (e.g., Splunk, Microsoft Sentinel, QRadar). Proficiency in security technologies such as firewalls, IDS/IPS, EDR, and cloud security solutions. Experience with scripting (Python, PowerShell) for automation and log analysis. Familiarity with cloud environments, particularly Azure Security solutions. Soft Skills Strong analytical and problem-solving skills. Ability to work under pressure and respond effectively to security incidents. Excellent communication skills, with the ability to explain complex security issues to nontechnical stakeholders. Team-oriented mindset with a proactive approach to security challenges. Stay up-to-date on information technology trends and security standards. Experience & Certifications 5+ years of experience in cybersecurity, SOC operations, or security engineering. Certifications preferred: CISSP, CISM, GIAC, Azure Security certifications (SC-200) Company description IQEQ is a preeminent service provider to the alternative asset industry. IQEQ works with managers in multiple capacities ranging from hedge fund, private equity fund, and mutual fund launches; private equity fund administration; advisory firm set-up, regulatory registration and infrastructure design; ongoing regulatory compliance (SEC, CFTC, and 40 Act); financial controls and operational support services; compliance and operational related projects and reviews; and outsourced CFO/controller and administration services to private equity fund investments portfolio companies, real estate assets and energy assets. Our client base is growing, and our existing clients are engaging the firm across the spectrum of our services offerings.

Job Description We are seeking a Senior Kubernetes Architect to join our team. In this role, you will not only fine-tune Kubernetes clusters for optimal performance but also lead our Kubernetes adoption strategy and serve as a thought leader in cloud-native technologies. Job Duties and Responsibilities: Kubernetes Cluster Optimization: Design, implement, and optimize Kubernetes clusters to ensure high availability, scalability, and performance. Diagnose and resolve complex issues related to cluster performance and stability. Develop and implement best practices for Kubernetes deployments, including security, monitoring, and management. Strategic Leadership: Define and drive the Kubernetes adoption strategy across the organization. Collaborate with stakeholders to align Kubernetes strategies with business goals and technical requirements. Advocate for and lead the adoption of cloud-native technologies and methodologies. Thought Leadership: Stay abreast of the latest developments in Kubernetes and related technologies. Share insights and knowledge through internal workshops, presentations, and documentation. Contribute to the community through blogs, speaking engagements, or open-source projects. Architectural Design: Create and maintain architectural frameworks and guidelines for Kubernetes deployments. Evaluate and recommend tools and technologies that complement Kubernetes ecosystems. Lead design reviews and provide guidance on complex architectural decisions. Team Collaboration: Work closely with development, operations, and DevOps teams to integrate Kubernetes solutions effectively. Mentor and guide junior team members on Kubernetes best practices and advanced techniques. Facilitate cross-functional collaboration to drive successful Kubernetes initiatives. Qualifications: Experience: 15+ years of experience in software engineering with at least 8+ years focusing on Kubernetes architecture and operations. Proven experience in designing, deploying, and tuning large-scale Kubernetes clusters. Technical Skills: Deep understanding of Kubernetes architecture, including components such as Pods, Services, Deployments, and Custom Resources. Proficiency in containerization technologies (Docker, containers). Experience with CI/CD pipelines, infrastructure as code (IaC), and cloud platforms (AWS, Azure, GCP). Leadership Skills: Demonstrated ability to lead strategic initiatives and drive adoption of new technologies. Excellent communication skills with the ability to influence and guide diverse teams. Education: Bachelor s degree in computer science, Engineering, or a related field (or equivalent experience). Relevant certifications (e.g., Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD)) are a plus. Benefits: We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work model. Health insurance and benefits for the employees and dependents. Additional Information: Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees. Qualification : Bachelors degree in computer science, Engineering, or a related field (or equivalent experience).

Job Role: Cloud Engineer Key Responsibilities: Design, deploy, and manage AWS cloud solutions for HPC environments, including compute, storage, networking, and security. Implement scalable, reliable infrastructure to support various applications and workloads. Apply AWS best practices for performance optimization, reliability, and cost management. Build and maintain CI/CD pipelines for efficient deployment of applications and infrastructure. Develop and implement CI/CD pipelines tailored for scientific and engineering applications. Diagnose and resolve complex technical issues within AWS environments. Design and implement optimized HPC solutions for scientific and engineering workloads on the cloud. Oversee HPC deployments, ensuring high availability, scalability, and performance. Collaborate with DevOps engineers and developers to ensure seamless integration of HPC solutions. Monitor and troubleshoot HPC workloads in cloud environments. Stay current with advancements in HPC, cloud technologies, and scientific/engineering applications. Document and share best practices related to HPC and cloud integration. Job Requirements: Bachelor s degree in computer science or a related field. 2-3 years of hands-on experience with AWS services (e.g., EC2, S3, IAM, EFS, FSx, VPC). Basic understanding of HPC principles and parallel file systems (e.g., Lustre, GPFS). Experience with Linux system administration. Familiarity with cloud platforms (AWS, Azure, GCP) and HPC services (AWS experience preferred). Proven experience with DevOps pipelines, adapting scientific/engineering applications for the cloud. Strong scripting skills (Bash, Python, etc.). Basic understanding of job schedulers (e.g., Slurm, SGE, PBS). Excellent problem-solving, analytical, and communication skills. Ability to work independently and in a collaborative team environment. Preferred Skills: AWS certifications (e.g., AWS Certified Solutions Architect). Experience with Linux administration. Knowledge of parallel clusters and HPC administration. Familiarity with Slurm job schedulers. Benefits: We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work model. Health insurance and benefits for the employees and dependents. Additional Information: Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees. Qualification : Bachelors degree in computer science or a related field

Position: AI/ML Developer Company: Infor Location: Hyderabad, India Experience: 2-5 years Skills: AI/ML, Python, AWS, SQL Role Summary: As an AI/ML Developer at Infor, you will be at the forefront of creating and delivering state-of-the-art enterprise applications and automation solutions powered by Infor s AI, RPA, and OS platform technologies. Your primary mission will be to identify impactful AI/ML use cases, develop proof of concepts (PoCs), and deliver automation solutions that drive workforce productivity and enhance business outcomes for our clients. Key Responsibilities: Use Case Identification: Work closely with customers to understand their business challenges and identify opportunities for AI/ML solutions to address these needs. Data Insights: Perform exploratory data analysis on large, complex datasets to uncover key insights. Assess data quality and share findings that can inform decision-making. Data Preparation: Collect, clean, preprocess, and augment datasets for training and testing AI models, ensuring they are ready for AI tasks. Model Development: Design, train, and fine-tune AI/ML models, evaluating them against appropriate performance metrics and optimizing for maximum efficiency. Integration & Deployment: Partner with software engineers to integrate AI/ML models seamlessly into enterprise applications and systems. Address deployment challenges to ensure smooth production workflows. Continuous Improvement: Monitor the performance of deployed AI models, gather user feedback, and iterate to improve models, algorithms, and user experience. Proof of Concepts (PoCs): Develop PoCs to demonstrate the feasibility and effectiveness of AI/ML solutions, showcasing the potential of new technologies to clients. Collaboration: Work closely with development teams to explore and implement new use cases for AI and automation. Best Practices: Collaborate with your team to establish best practices and ensure high-quality development standards. Innovation: Contribute to the innovation of cloud-based enterprise automation solutions and the development of cutting-edge AI technologies. Key Requirements: Experience: Minimum 3 years of hands-on experience in implementing AI/ML models in enterprise environments. AI/ML Knowledge: Strong understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Skills: Proficiency in Python or R, with experience in SQL for querying databases. Data Handling: Expertise in working with large datasets, performing data preprocessing, and effectively managing data pipelines. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML is preferred for deploying machine learning solutions. Frameworks & Libraries: Familiarity with machine learning libraries like scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking and problem-solving abilities, with the capacity to design and run experiments to validate hypotheses. Business Process Understanding: Knowledge of business processes and how they can be automated through AI and ML. Domain Expertise: Experience or interest in areas like Demand Forecasting, Anomaly Detection, Pricing, Recommendations, or Analytics. Global Experience: Proven experience in working with global customers on diverse projects, understanding their needs, and delivering tailored solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain complex AI concepts to clients and team members. Collaboration & Independence: Ability to work both independently and as part of a team, collaborating with cross-functional teams to drive success. Educational Background: A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or expertise in AI, ML, Deep Learning, NLP/NLU, Computer Vision, or similar domains is highly desirable.

Position: Azure Infrastructure Engineer Location: Hyderabad, Telangana Employment Type: Full-time, Permanent Industry: IT Services Department: Engineering - Software & QA Role Category: Infrastructure Engineering We are seeking an experienced Azure Infrastructure Engineer to join our team in Hyderabad. The ideal candidate will have hands-on experience with Azure Resource Management, Azure PaaS services, Azure Compute Services, Networking, Storage Solutions, Identity & Access Management, Monitoring & Diagnostics, and DevOps practices. You will play a critical role in designing, implementing, and managing our Azure infrastructure to support various applications and services, ensuring performance, security, and scalability. Key Responsibilities: Design and implement scalable and secure Azure infrastructure solutions using Azure Resource Manager. Manage and configure Azure PaaS services (e.g., Azure App Services, Azure Functions, Azure SQL Database) to optimize application performance and reliability. Oversee Azure Compute Services, including Virtual Machines, App Services, and Container Instances. Implement and manage networking solutions, including Virtual Networks, Network Security Groups, and VPN gateways to ensure secure communication. Design and maintain storage solutions in Azure, ensuring data availability, redundancy, and security. Implement Identity and Access Management (IAM) solutions using Azure Active Directory and Role-Based Access Control (RBAC) to secure and manage user access. Utilize Azure Monitoring and Diagnostics tools to track infrastructure performance, troubleshoot issues, and optimize system health. Collaborate with DevOps teams to integrate infrastructure solutions with CI/CD pipelines, ensuring seamless application deployment and efficient infrastructure management. Maintain comprehensive documentation for infrastructure configurations, procedures, and best practices. Stay up-to-date with Azure services, technologies, and best practices, recommending improvements to enhance efficiency, security, and overall performance. Required Qualifications & Skills: Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Azure Resource Management: Strong understanding of deployment techniques and resource management within the Azure environment. Azure PaaS Services: Proven experience working with services such as Azure App Services, Azure Functions, and Azure SQL Database. Azure Compute Services: Proficiency in managing and configuring Virtual Machines, App Services, and Container Instances. Networking: Solid knowledge of Azure networking concepts and configurations such as Virtual Networks, Network Security Groups, and VPNs. Storage Solutions: Experience with Azure storage solutions and best practices for ensuring high availability, backup, and security of data. Identity & Access Management: Experience with Azure Active Directory and Role-Based Access Control (RBAC). Monitoring & Diagnostics: Familiarity with Azure Monitoring and Diagnostics tools to ensure optimal system performance and troubleshoot any issues. DevOps Practices: Understanding of DevOps practices and tools, including CI/CD pipelines and automation for efficient infrastructure management and deployment. If you are passionate about Azure infrastructure and want to be part of a high-performing team that designs and manages cutting-edge cloud solutions, we d love to hear from you! Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

AWS Cloud Admin Data Science Team We are seeking an experienced AWS Cloud Admin to join our Data Science Team. The ideal candidate will have 5 to 8 years of experience in managing AWS cloud infrastructure. The AWS Cloud Admin will be responsible for ensuring the reliability, security, and performance of our cloud environment to enable us to efficiently analyze and derive insights from large datasets. Key Responsibilities: Manage and monitor AWS services, including EC2, S3, RDS, and Redshift. Implement and maintain security best practices for AWS environments. Troubleshoot and resolve issues related to AWS infrastructure. Collaborate with data scientists and engineers to optimize AWS resources for data processing and analysis. Implement automation and scripting solutions to streamline AWS administration tasks. Stay up-to-date on AWS best practices and new features to continuously improve our cloud infrastructure. Qualifications: Experience: 4+ years of experience in cloud infrastructure management, with at least 2 years focusing on AWS services. In-depth knowledge of AWS services including EC2, S3, Lambda, RDS, SQS, SNS, IAM, CloudWatch, Redshift, and SageMaker. Strong experience in automation and configuration management tools such as Terraform, CloudFormation, or Ansible. Knowledge of cloud security best practices, including managing IAM roles and policies, encryption, and data protection in the cloud. Proficiency in Python, Bash, or other scripting languages for automation tasks. Experience with AWS CloudWatch, CloudTrail, and other monitoring tools for analyzing logs, alerts, and resource performance. Nice to Have: Experience on Azure DevOps.

About Synopsys At Synopsys, we drive innovations that shape how we live and connect. From self-driving cars to AI-powered machines, our technology is central to the Era of Pervasive Intelligence. We lead in chip design, verification, and IP integration, enabling the creation of high-performance silicon chips and software content. Join us to help transform the future through continuous technological innovation. About You You are an experienced and dynamic CloudOps Manager with a proven track record in managing cloud infrastructure and leading teams to success. You thrive in a fast-paced, innovative environment and are passionate about cloud technologies that drive business outcomes. With deep expertise in AWS, Azure, and GCP, you ensure high availability, scalability, and security of cloud environments. You excel at collaborative problem-solving, incident management, and automation, while leading cross-functional teams and driving continuous improvement. What You ll Be Doing Manage, monitor, and optimize cloud infrastructure across AWS, Azure, GCP, or other cloud platforms. Lead a team of CloudOps engineers, ensuring 24x7 operations and driving team performance. Work closely with development and engineering teams to track issues, implement enhancements, and align cloud operations with business goals. Collaborate with the Customer Success Group to gather customer feedback, identify recurring issues, and provide actionable insights for service improvement. Implement processes for incident detection, response, and resolution to minimize downtime. Drive automation initiatives to improve deployment pipelines, monitoring systems, and operational efficiency. Ensure compliance with cloud security standards and best practices, including data protection and governance. Oversee changes in operations, ensuring smooth transitions and minimal disruptions. Regularly publish support metrics to track performance and service levels. The Impact You ll Have Ensure seamless delivery and optimization of cloud-based services, ensuring high availability and reliability. Lead and mentor a team of CloudOps engineers, fostering a culture of excellence and continuous improvement. Enhance collaboration between cloud operations and internal teams, aligning operations with business goals. Improve customer satisfaction by addressing customer feedback and proactively improving services. Refine incident response procedures, reducing downtime and enhancing service reliability. Drive automation and optimization efforts to increase operational efficiency. Ensure compliance with security standards, safeguarding cloud environments and customer data. What You ll Need 7+ years of experience in cloud operations, with at least 2 years in a leadership role. Strong expertise in AWS, Azure, or GCP (multi-cloud experience is a plus). Hands-on experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation), container orchestration (Kubernetes, Docker), and CI/CD pipelines. Proven ability to work effectively with cross-functional teams, including development, engineering, and customer success groups. Proficiency in monitoring and automation tools like Prometheus, Grafana, Splunk, or similar. Strong analytical and troubleshooting skills in complex cloud-based systems. Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Administrator) are highly desirable. Who You Are Excellent communication, leadership, and project management skills. Experience with hybrid cloud environments. Understanding of ITIL frameworks and service management processes. Familiarity with scripting languages (e.g., Python, Bash). Strong commitment to customer satisfaction and continuous improvement. The Team You ll Be a Part Of You ll join a dedicated and dynamic Cloud Operations team focused on managing, monitoring, and optimizing cloud infrastructure. Our mission is to ensure high availability, scalability, and security of cloud environments while driving business success and customer satisfaction. We collaborate closely with internal teams and the Customer Success Group to deliver exceptional cloud services and continuously improve operations. Rewards and Benefits We offer a comprehensive range of health, wellness, and financial benefits to meet your needs. Your recruiter will provide more details about the salary range and benefits during the hiring process. Inclusion and Diversity are integral to our culture. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.

About Synopsys At Synopsys, we drive the innovations that shape how we live and connect. Our technology powers the Era of Pervasive Intelligence, from self-driving cars to machine learning systems. As a leader in chip design, verification, and IP integration, we empower the creation of high-performance silicon chips and software content. Join us to help transform the future through continuous technological innovation. About You You are a talented, energetic, and experienced professional with a passion for Linux administration and cloud operations. Your solid foundation in Azure fundamentals, combined with your expertise in Linux systems, sets you apart. You have a proven track record in customer support, systems administration, and network operations, and you thrive in a fast-paced, dynamic environment. You excel in problem-solving and multitasking, with hands-on experience in UNIX system administration and scripting languages like Shell and Python. Your ability to communicate technical concepts effectively, make sound decisions, and deliver on agile goals makes you a vital part of any team. What You ll Be Doing Design, automate, and support Linux systems and services in a 24x7 production environment. Collaborate with cross-functional technical teams to evaluate, recommend, and implement innovative solutions. Troubleshoot issues, identify root causes, and unblock customers to ensure seamless operations. Maintain and document systems configurations, standards, and procedures for consistency and compliance. Support day-to-day operations, including the installation, configuration, and maintenance of engineering secure computing environments. Continuously evolve the technology landscape to improve performance and security. The Impact You ll Have Ensure high performance and reliability of Synopsys Cloud infrastructure. Contribute to the security compliance and seamless operation of cloud environments. Enhance efficiency and effectiveness by implementing innovative technical solutions. Collaborate with cross-functional teams to solve complex technical challenges. Provide critical support and proactive troubleshooting to maintain uninterrupted services for customers. Keep documentation up to date, ensuring consistency and security compliance across systems. What You ll Need Extensive knowledge of Linux operating systems (Ubuntu and RHEL) and security patching. Experience in installing, monitoring, and administering Linux systems. Linux System Administrator Certification(s) preferred. Proficiency with monitoring and logging tools. Strong programming and scripting skills in Shell and Python. Who You Are Proficient in networking fundamentals, including TCP/IP, DNS, subnetting, and routing. Experienced with networking for virtual machines, focusing on security and performance. Knowledgeable in remote desktop solutions like VNC, Citrix XenServer, and VDI. Solid understanding of infrastructure services (Kickstart, NFS, DNS, DHCP). Familiar with Azure resources (VMs, Network, NSG, Blob Storage). An effective communicator, capable of explaining technical concepts to both technical and non-technical audiences. Proven ability to work collaboratively in dynamic team environments to resolve complex problems. Enthusiastic and adaptable, with a passion for continuous learning. The Team You ll Be a Part Of You will join a dedicated, highly skilled team focused on building and maintaining Synopsys Cloud. Our mission is to ensure smooth operations, security compliance, and continuous innovation. You ll work alongside professionals who are passionate about technology and committed to excellence. Rewards and Benefits We offer a comprehensive range of health, wellness, and financial benefits to meet your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. Inclusion and Diversity are core to our values. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.