11+ Virtual private cloud Jobs in Pune | Virtual private cloud Job openings in Pune

Experience: 6+ years

Location: Pune

Lead/support implementation of core cloud components and document critical design and configuration details to support enterprise cloud initiatives. The Cloud Infrastructure Lead will be primarily responsible for utilizing technical skills to coordinate enhancements and deployment efforts and to provide insight and recommendations for implementing client solutions. Leads will work closely with Customer, Cloud Architect, other Cloud teams and other functions.

Job Requirements:

• Experience in Cloud Foundation setup from the hierarchy of Organization to individual services
• Experience in Cloud Virtual Network, VPN Gateways, Tunneling, Cloud Load Balancing, Cloud Interconnect, Cloud DNS
• Experience working with scalable networking technologies such as Load Balancers/Firewalls and web standards (REST APIs, web security mechanisms)
• Experience working with Identity and access management (MFA, SSO, AD Connect, App Registrations, Service Principals)
• Familiarity with standard IT security practices such as encryption, certificates and key management.
• Experience in Deploying and maintaining Applications on Kubernetes
• Must have worked on one or more configuration tools such an Terraform, Ansible, PowerShell DSC
• Experience on Cloud Storage services including MS SQL DB, Tables, Files etc
• Experience on Cloud Monitoring and Alerts mechanism
• Well versed with Governance and Cloud best practices for Security and Cost optimization 
• Experience in one or more of the following: Shell scripting, PowerShell, Python or Ruby. 
• Experience with Unix/Linux operating systems internals and administration (e.g., filesystems, system calls) or networking (e.g., TCP/IP, routing, network topologies and hardware, SDN)
• Should have strong knowledge of Cloud billing and understand costing of different cloud services 
• Prior professional experience in IT Strategy, IT Business Management, Cloud & Infrastructure, or Systems Engineering

Preferred 

• Compute: Infrastructure, Platform Sizing, Consolidation, Tiered and Virtualized Storage, Automated Provisioning, Rationalization, Infrastructure Cost Reduction, Thin Provisioning
• Experience with Operating systems and Software
• Sound background with Networking and Security 
• Experience with Open Source: Sizing and Performance Analyses, Selection and Implementation, Platform Design and Selection
• Experience with Infrastructure-Based Processes: Monitoring, Capacity Planning, Facilities Management, Performance Tuning, Asset Management, Disaster Recovery, Data Center support

About Us!

A global Leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.

We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, Datastage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization.

Datametica is a key partner of the major cloud service providers - Google, Microsoft, Amazon, Snowflake.

We have our own products!

Eagle – Data warehouse Assessment & Migration Planning Product

Raven – Automated Workload Conversion Product

Pelican - Automated Data Validation Product, which helps automate and accelerate data migration to the cloud.

Why join us!

Datametica is a place to innovate, bring new ideas to live and learn new things. We believe in building a culture of innovation, growth and belonging. Our people and their dedication over these years are the key factors in achieving our success.

Benefits we Provide!

Working with Highly Technical and Passionate, mission-driven people

Subsidized Meals & Snacks

Flexible Schedule

Approachable leadership

Access to various learning tools and programs

Pet Friendly

Certification Reimbursement Policy

Check out more about us on our website below!

www.datametica.com

🚀 Hiring: Azure DevOps Engineer – Immediate Joiners Only! 🚀

📍 Location: Pune (Hybrid)

💼 Experience: 5+ Years

🕒 Mode of Work: Hybrid

Are you a proactive and skilled Azure DevOps Engineer looking for your next challenge? We are hiring immediate joiners to join our dynamic team! If you are passionate about CI/CD, cloud automation, and SRE best practices, we want to hear from you.

🔹 Key Skills Required:

✅ Cloud Expertise: Proficiency in any cloud (Azure preferred)

✅ CI/CD Pipelines: Hands-on experience in designing and managing pipelines

✅ Containers & IaC: Strong knowledge of Docker, Terraform, Kubernetes

✅ Incident Management: Quick issue resolution and RCA

✅ SRE & Observability: Experience with SLI/SLO/SLA, monitoring, tracing, logging

✅ Programming: Proficiency in Python, Golang

✅ Performance Optimization: Identifying and resolving system bottlenecks

Job Description

About the Role

We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.

This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.

Responsibilities

• Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
• Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
• Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
• Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
• Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
• Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
• Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
• Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
• Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
• Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.

Required Skills & Qualifications

• 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
• Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
• Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
• Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
• Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
• Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
• Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
• Experience with model evaluation, monitoring, and performance optimization in production environments.
• Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
• Proven ability to lead technical initiatives and mentor engineering teams.

Preferred Qualifications

• Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
• Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
• Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
• Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
• Experience designing enterprise-scale AI platforms or AI-powered products.

Key Responsibilities would include: 

1. Design, develop, and maintain enterprise-level Java applications. 

2. Collaborate with cross-functional teams to gather and analyze requirements, and implement solutions. 

3. Develop & customize the application using HTML5, CSS, and jQuery to create dynamic and responsive user interfaces. 

4. Integrate with relational databases (RDBMS) to manage and retrieve data efficiently. 

5. Write clean, maintainable, and efficient code following best practices and coding standards. 

6. Participate in code reviews, debugging, and testing to ensure high-quality deliverables. 

7. Troubleshoot and resolve issues in existing applications and systems. 

Qualification requirement - 

1. 4 years of hands-on experience in Java / J2ee development, preferably with enterprise-level projects.

2. Spring Framework including - SOA, AoP and Spring security 

3. Proficiency in web technologies including HTML5, CSS, jQuery, and JavaScript.

4. Experience with RESTful APIs and web services.

5. Knowledge of build tools like Maven or Gradle

6. Strong knowledge of relational databases (e.g., MySQL, PostgreSQL, Oracle) and experience with SQL.

7. Experience with version control systems like Git.

8. Understanding of software development lifecycle (SDLC) 

9. Strong problem-solving skills and attention to details.

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

REQUIREMENTS:

• Experience: 4.1-7 years
• Must have Skills: JavaScript ES6, MySQL, RabbitMQ, Redis, Node JS
• Strong technical background with node.js, event loop understanding, unit testing, developing web application & APIs, event & stream, call-back & closures, promise, async/await, accessing file system, Optimization techniques.
• Strong experience in JavaScript, Express.js, GraphQL
• Strong knowledge of REST, microservices, cloud development and design patterns
• Comfortable using modern tools and platforms such as Docker, Jenkins, Gitlab CI, etc.
• Comfortable using agile methodologies.
• Understanding of different components such as web server, storages, integrations
• Should have worked on designing and building server-side solutions (in any technology), build process of node.js, CI/CD process of node.js, multi-tasking (working on multiple things at same time)
• Good knowledge of functional and Object-Oriented Programming
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.
• Familiarity with Azure pipeline
• Should have experience in Identifying software application weaknesses and target areas and sketching out ideas for automated software test procedures. Reviewing software bug reports and highlighting problem areas.
• Knowledge of high-quality professional software engineering practices for agile software development cycle, including coding standards, code reviews, source control management, build processes, testing, and deployment.
• Fundamental knowledge of design patterns
• Experience in communicating effectively with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
• Mentoring the team members to meet the client's needs and holding them accountable for high standards of delivery.
• Being able to understand and relate technology integration scenarios and be able to apply these learnings in complex troubleshooting scenarios.

RESPONSIBILITIES:

• Writing and reviewing great quality code
• Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project.
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it.
• Determining and implementing design methodologies and tool sets
• Enabling application development by coordinating requirements, schedules, and activities.
• Being able to lead/support UAT and production roll outs.
• Creating, understanding, and validating WBS and estimated effort for given module/task, and being able to justify it.
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Giving constructive feedback to the team members and setting clear expectations.
• Helping the team in troubleshooting and resolving of complex bugs
• Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Monitor, analyze and fix issues for consumer and business VoIP services and endpoints.

Roles and Responsibilities:

• As a senior engineer, take complete ownership of supporting customer VoIP deployments by debugging issues and providing fixes.
• Document existing call flows
• Build customer confidence to grow/lead local team
• Support customer during PST timezone during critical releases

Required Skills:

• 5+ yrs of supporting VoIP services/applications on Linux platform
• Strong scripting skills with bash/python/perl
• Expertise in SIP call flow analysis and debugging using Wireshark
• Experience in debugging Kamailio and Freeswitch/asterisk based applications is a must
• Good problem solving/analytical skills
• Excellent written and verbal communication

Preferred Skills:

• Experience working with open source projects
• Exposure to Level 3-Carrier Integration
• Knowledge of networking protocols

Experience: 2-6 Years

Datametica is looking for talented Java engineers who would get training & the opportunity to work on Cloud and Big Data Analytics.

Job Responsibilities:

• 2-6 years, having hands-on experience in coding, usually in a pair programming environment providing solutions to real problems in the Big Data world
• Working in highly collaborative teams and building quality code
• Working in lots of different domains and client environments also understanding the business domain deeply
• Engineers highly scalable, highly available, reliable, secure, and fault-tolerant systems with minimal guidance
• Create platforms, reusable libraries, and utilities wherever applicable
• Continuously refactor applications to ensure high-quality design
• Choose the right technology stack for the product systems/subsystems
• Write high-quality code that are modular, functional, and testable; Establish the best coding practices
• Formally mentor junior engineers on design, coding, and troubleshooting
• Plan projects using agile methodologies and ensure timely delivery
• Communicate, collaborate and work effectively in a global environment

Required Skills:

• Proficient in Core Java technology stack
• Design and implement low latency RESTful services; Define API contracts between services; Expertise in API design and development, experience in dealing with a large dataset
• Should have worked on Spring boot
• Practicing the coding standards (clean code, design patterns, etc)
• Good understanding of branching, build, deployment, continuous integration methodologies
• Ability to make decisions independently
• Strong experience in collections.