Azure Infrastructure 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.

Senior Search Engineer Full-Time | Hyderabad, India Department: Engineering Location: Hyderabad (On-site) Experience: 5+ Years Industry: Enterprise Software / Search Technology Employment Type: Full-Time Salary: Competitive & Based on Experience Job Summary We are seeking a highly experienced and technically proficient Senior Search Engineer with deep expertise in Apache Lucene and related search technologies. In this role, you will architect, develop, and optimize complex search functionalities within our enterprise platform. Your work will directly impact search scalability, performance, and accuracy across high-throughput, data-driven applications. Key Responsibilities Design, build, and maintain robust search infrastructure using Lucene and Lucene-based frameworks. Integrate Lucene search features into large-scale, enterprise-grade applications and manage ongoing system upgrades. Tune indexing strategies and optimize search algorithms for performance, accuracy, and efficiency. Conduct comprehensive performance testing and profiling to identify system bottlenecks and implement improvements. Create and manage custom analyzers, tokenizers, and filters to meet advanced business search requirements. Troubleshoot and resolve complex search-related issues across systems and environments. Monitor and evaluate emerging trends in search engines, text processing, and machine learning-based ranking. Work closely with cross-functional engineering teams and product owners to define and implement search-related features. Required Qualifications Bachelor's or Master s degree in Computer Science, Software Engineering, or a related technical field. 5+ years of hands-on experience in software engineering with a strong emphasis on search technologies. Deep knowledge and production-level experience with Apache Lucene. Proficiency in associated technologies such as Elasticsearch, Solr, or other Lucene-based libraries. Strong understanding of search algorithms, indexing mechanisms, and query optimization techniques. Solid foundation in data structures, algorithms, and object-oriented design principles. Experience working with high-throughput systems and scalable, distributed architectures. Preferred Skills (Nice to Have) Experience integrating search capabilities in cloud environments (e.g., Azure, AWS, or GCP). Familiarity with natural language processing (NLP), semantic search, and vector search technologies. Exposure to machine learning models for relevance tuning and personalized search. Background in performance benchmarking tools and profiling techniques. Lead the development of mission-critical search and indexing features used by enterprise customers. Be part of a collaborative team solving cutting-edge search performance challenges. Work in an environment that encourages innovation and continuous learning. Competitive compensation, modern tech stack, and ample growth opportunities. Qualification : Bachelor's or Masters degree in Computer Science, Software Engineering, or a related technical field.

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.

Job Title: AWS Administrator Location: Hyderabad, India Experience: 5+ Years Job Type: Full Time Job Overview We are seeking a highly skilled and versatile AWS Infrastructure & Systems Administrator with strong expertise in AWS cloud services, MS SQL Server DBA, and Windows/Linux system administration. This role also requires working knowledge of Redis and IIS web server environments. You will be responsible for ensuring the reliability, performance, and scalability of our cloud infrastructure and system architecture in a complex, multi-platform environment. Key Responsibilities AWS Infrastructure Management Design, deploy, and manage core AWS services (EC2, S3, IAM, VPC, etc.). Implement best practices for provisioning, monitoring, and cost optimization. Manage IAM roles, policies, encryption, and security best practices. Handle backups, snapshots, and disaster recovery across AWS services. Monitor system performance and utilization using AWS CloudWatch and other tools. Windows and Linux Administration Administer and maintain Windows Server and Ubuntu-based Linux systems. Perform system updates, security patching, and hardening. Monitor system health, availability, and troubleshoot OS-level issues. Automate administrative tasks using scripting (PowerShell, Bash, or Python). Manage user access, system policies, and event log monitoring. MS SQL Server DBA Responsibilities Monitor database performance (CPU, memory, I/O utilization) and query optimization. Analyze and resolve blocking, deadlocks, and contention in TempDB. Manage space, track database growth trends, and schedule backups. Validate backups with periodic test restores. Configure alerts and analyze SQL error logs for proactive issue handling. Redis Administration Monitor and optimize Redis performance (memory, latency, traffic). Manage Redis configurations and implement sharding/clustering as required. Analyze and resolve slow commands or data structure bottlenecks. IIS Administration Monitor IIS worker process performance and application pool health. Analyze request throughput, traffic patterns, and security events. Optimize configuration for reliability, load handling, and speed. Troubleshoot using logs and performance counters. Required Skills & Qualifications 5+ years of experience managing AWS infrastructure and cloud environments. 3+ years of hands-on experience as a SQL Server DBA in a production setup. Solid expertise in Windows Server and Linux (Ubuntu) system administration. Practical experience with Redis and IIS web server administration. Proficiency in automation/scripting (PowerShell, Bash, or Python). Experience with monitoring tools: CloudWatch, Grafana, Prometheus, SQL Profiler, etc. Sound understanding of networking, firewalls, and load balancing. Preferred Certifications AWS Certified SysOps Administrator or AWS Solutions Architect Microsoft Certified: Azure Database Administrator Associate (optional) RHCSA or Microsoft Certified: Windows Server Administration Fundamentals Soft Skills Strong analytical and troubleshooting abilities. Excellent verbal and written communication. Ability to work both independently and collaboratively. Detail-oriented with strong documentation and reporting skills.

Job Title: Senior Python Developer Location: Hyderabad (Onsite) Experience: 5+ Years Job Type: Full-Time Openings: 2 Category: IT Job Summary We are seeking an experienced Senior Python Developer with deep technical expertise in designing scalable, secure, and high-performance backend systems particularly within the travel and tourism industry. The ideal candidate will be proficient in Python frameworks (Django, Flask, FastAPI), capable of handling complex third-party API integrations, and demonstrate leadership in ensuring robust, compliant, and efficient backend infrastructure. Roles & Responsibilities Core Development Architect, build, and maintain scalable applications using Python and frameworks such as Django, Flask, and FastAPI. Integrate and optimize third-party travel APIs (e.g., GDS, CRS, OTA, airline APIs) for real-time booking, availability, and pricing data. Develop RESTful APIs, GraphQL, and asynchronous services for seamless frontend-backend communication. Data & Architecture Design and manage high-throughput data pipelines and ETL processes for structured and unstructured data. Work with SQL/NoSQL databases like PostgreSQL and MongoDB, and streaming tools like Apache Kafka or Apache Spark. Build modular microservices to enable independent scaling and deployment. Performance, Security & Compliance Optimize for performance, scalability, and reliability with efficient load balancing and low-latency design. Implement secure coding practices, ensure data encryption, and maintain compliance with PCI DSS, GDPR, and other relevant standards. DevOps & Automation Set up and maintain CI/CD pipelines (Jenkins, GitLab CI), automate testing and deployment. Leverage Docker and Kubernetes for containerization and orchestration. Use monitoring tools to ensure system health and proactive issue resolution. Collaboration Work closely with frontend teams, designers, and stakeholders to align backend systems with business requirements. Participate in code reviews, documentation, sprint planning, and continuous improvement. Required Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field. Minimum 5 years of experience in backend development with at least 3 years in Django, Flask, or FastAPI. Hands-on experience in RESTful API, GraphQL, and asynchronous programming. Deep knowledge of PostgreSQL, MongoDB, and streaming/big data tools like Kafka, Spark. Experience in cloud platforms (AWS, Azure, GCP). Experience with Docker, Kubernetes, and CI/CD tools. Familiarity with testing frameworks such as PyTest, Selenium, and SonarQube. Travel domain knowledge experience integrating GDS/CRS, booking systems, and payment gateways. Key Competencies Strong problem-solving and analytical thinking. Ability to work in a fast-paced, high-pressure environment. Excellent communication and collaboration skills. Self-motivated with a proactive attitude and leadership qualities.

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 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: 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.

Location: Hyderabad/Chennai, India Experience: 5+ years No. of Openings: 4 Job Description: Managing to code release and operational tasks within a global team with a focus on automation, maintainability, security and customer satisfaction Design, develop, and maintain infrastructure and various Azure or AWS IaaS and PaaS services. Expected to understand the Azure services and apply best practices regarding security and scalability. Working experience on Azure infrastructure setup and implementation. Should have at least one associate level certificate (pro will be a plus). Understanding of Azure Cloud Adoption Framework and Azure Lighthouse. Should be able to write infrastructure as code using Terraform/Azure ARM Expertise in Terraform, Ansible and CICD automation. Able to use a CI/CD pipelines to deploy applications on Azure. We use GitHub and GitHub actions for CI/CD. Previous experience with the serverless approaches using Azure Functions is a plus. Experience in Linux/Unix administration. Understanding of the enterprise management processes - OS backup, patching, vulnerability scanning, compliance and how to achieve that in Azure/AWS. Perks and Benefits: Excellent Salary structure & Performance based interim hikes. Corporate Group Medical Health Insurance for Employees. Employee friendly Corporate Work culture.

Job Description Responsibilities Identify projects and initiatives to deliver tangible end user operational improvements across the internal and external IT ecosystem. Collaborate with IT teams to ensure seamless integration with existing systems Engineer and optimize systems to operate within defined SLAs and achieve internal KPIs related to IAM efficiency, security, and performance. Feedback from users on IAM processes (i.e. access request/revoke, access lock down, etc.). Number of help desk tickets related to IAM issues (e.g., login problems, access issues). Implement automation and process improvements to streamline IAM workflows (e.g., automated role definitions, workflow optimization), increasing operational efficiency. Tasks Design and engineer IAM solutions to support the full lifecycle of client identities, from onboarding to offboarding, ensuring secure and efficient processes. Manage and execute changes to IAM systems (e.g., SailPoint, Active Directory, Entra ID), driving system improvements while minimizing disruptions and adhering to change management protocols for security and system stability. Conduct periodic reviews of user access rights and support in forensic analysis and compliance reports. Assist in preparing for internal and external IAM audits, ensuring proper documentation and compliance. Support the implementation of Single Sign-On (SSO) systems across enterprise applications. Troubleshoot authentication issues related to login and access. Ordinary and Extraordinary administration and optimization if IAM systems (e.g., SailPoint, Active Directory, Entra ID), focusing on improving system performance, scalability, and security. Collaborate with help desk and support teams to escalate and manage complex cases. Develop, maintain, and update technical documentation related to system configurations, processes, troubleshooting steps, and resolutions, ensuring high-quality knowledge management. Working with Windows NTFS and DFS services Key competencies for position and level In addition to demonstrating our Global Values (Authentic, Bold, and Collaborative), the role holder will be expected to demonstrate the following: Be a strong team player. Proactive mindset to always look to make improvements. Confident communication skills with the ability to speak to business stakeholders / application owners technical individuals to elicit requirements. Willing to continually learn new skills and technologies. Work well under pressure. Qualifications Education / professional qualifications Graduate degree, preferably in IT related disciplines Microsoft Certifications would be preferred Background experience Hands-on experience with IAM Active Directory and Entra ID on hybrid environment Strong verbal and written communication skills. Knowledge of configuring, troubleshooting, and maintaining IAM tools and systems. Experience of Active Directory, Windows Servers and NTFS permissions. Knowledge of VMware, Azure hosting and SailPoint platform is nice to have. Company, product, and market knowledge Experience of working in a complex, multi-country professional services, financial services or BPO organisation with complex processing requirements preferred but not essential. Multi-country experience and demonstrates an ability to work in a multi-cultural, talented, and demanding team environment. Excellent communication skills in both written and oral form, with staff members, customers, suppliers, and the management team with the ability to make decisions, act and get results. Passion, dynamism, and drive Personal presence, integrity, and credibility Ability to solve problems either independently or by utilising other members of the team where necessary. Ability to focus on priority, when business impact required. Languages Fully proficient spoken and written English, additional European languages will be an asset 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. Qualification : Graduate degree, preferably in IT related disciplines Microsoft Certifications would be preferred

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).

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.

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.

General Summary: The QSWAT group at Qualcomm is seeking full-time engineers to design, develop, and maintain cutting-edge applications utilized by Qualcomm's software development and testing teams. This role involves full-stack web development, scripting, and working with advanced cloud and containerization technologies. Key Responsibilities: Tool Development: Design, develop, and test web-based applications and tools (ASP.NET MVC). Incorporate scripting components (Python, Bash, Perl) as needed. Web Development: Perform full-stack development using modern frameworks and technologies. Work on both client-side (JavaScript/TypeScript, Angular, CSS) and server-side components. Database Management: Utilize SQL Server (2012/2014 or related) and ORM frameworks such as Entity Framework or Dapper. Continuous Integration & Configuration Management: Contribute to CI/CD pipeline development and configuration management processes. Cloud & Containerization (Preferred): Work with cloud technologies such as AWS or Azure. Utilize containerization tools like Docker and Kubernetes. Version Control Systems: Manage code repositories with Perforce or Gerrit. Minimum Qualifications: Education: Required: Bachelor s degree in Computer Engineering, Computer Science, or Information Technology. Experience: Academic or industry experience in the following: Languages & Frameworks: C#, PHP, .NET, ASP.NET MVC, Python, Perl, Bash. Web Technologies: JavaScript, TypeScript, Angular, CSS. Databases: SQL Server, Entity Framework, Dapper. Version Control: Perforce, Gerrit. Cloud & Containers (Preferred): AWS, Azure, Docker, Kubernetes. Knowledge in CI/CD pipelines, build infrastructure, and tools development. Work Environment & Accessibility: Qualcomm is committed to creating an accessible hiring process for individuals with disabilities. Equal Opportunity Employer: Qualcomm embraces diversity and prohibits discrimination based on race, gender, disability, and other protected categories. This role offers an exciting opportunity to work at the forefront of software automation and tool development. If you need help with application tips, resume optimization, or preparation for interviews, feel free to ask! Qualification : Bachelors degree in Computer Engineering, Computer Science, or Information Technology.

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. #LI-DNI#EasyApply Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field