Shastri Nagar Delhi Delhi Engineer software development technology systems Jobs – 135 Open Jobs Today

Platform Engineer III
HCLTech —Gautam Budh Nagar, Uttar Pradesh
- Azure
- Java
- SQL
Technical Delivery Lead
Nwaresoft —Gautam Buddha Nagar District, Uttar Pradesh
- Full-time
- DevOps
- Engineering
- Bachelor's degree
Senior Field Support Engineer
Rockwell Automation —Delhi, Delhi
- Full-time
- SQL
- Travel
- Agile
- Paid time off
Deskside Support Technician
JMT Consultants —Gautam Buddha Nagar District, Uttar Pradesh
- Full-time
- Software troubleshooting
- Windows
- Computer networking
- Health insurance
Quick apply
BESS Cheif Architect
Corvi Technologies —Delhi, Delhi
- ₹50,00,000 - ₹60,00,000 a year
- Full-time
- APIs
Quick apply
Principal Field Service Engineer
Waters Corporation —Delhi, Delhi
- Software troubleshooting
- Master's degree
- Bachelor's degree
Scala Developer
Nwaresoft —Gautam Buddha Nagar District, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Java
- AWS
Productivity Engineer/ Construction Project Managers -Construction
Teknobuilt —Delhi, Delhi
- ₹8,00,000 - ₹12,00,000 a year
- Email
- Microsoft Powerpoint
- Engineering
- English
- Health insurance
- Paid time off
Quick apply
Strategic Account Manager – North India (Enterprise & Mid-Market Customers)
Arista Networks —Delhi, Delhi
- Full-time
- Hybrid work
- Sales
- B.Sc
- Engineering
Quick apply
Android Developer
Nwaresoft —Gautam Buddha Nagar District, Uttar Pradesh
- ₹8,000 - ₹15,000 a month
- Full-time
- Computer Science
- Master's degree
- Analysis skills
Mobile Developer for Android / IoS
Radiant Info Solutions —Delhi, Delhi
- SDLC
Area Sales Executive : Uttar Pradesh - Western Region (India)
Franklin Electric —Ghaziabad, Uttar Pradesh
- Full-time
- Hybrid work
- CRM software
- Analysis skills
- Communication skills
Quick apply
Product Engineer - Software Reliability
Esri —Delhi, Delhi
- Computer Science
- Engineering
- Master's degree

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Platform Engineer III

HCLTech -
Gautam Budh Nagar, Uttar Pradesh

Apply Now

Job details

Qualifications

TensorFlow
Azure
Go
Cloud architecture
Kubernetes
Big data
Spark
NoSQL
Google Cloud Platform
Java
SQL
AWS
Project management
Machine learning
Distributed systems
Deep learning
Azure Certification
Natural language processing
Scrum
Software development
APIs
Agile
VMWare
AI
Communication skills
Python
Spring framework
AWS Certified Solutions Architect – Professional
Hadoop

Full job description

Gautam Buddha Nagar, Uttar Pradesh
Job Summary

Position Summary The Mid-Level AI Architect is responsible for designing and implementing AI and cloud architectures, with a focus on integrating generative AI technologies. This role requires a solid understanding of AI and cloud platforms and the ability to engage with customers on various architectural topics in cloud and data center environments. The ideal candidate is passionate about GenAI and AI technologies, keeps up with industry trends, and drives innovation within the organization and for clients. As a key contributor, you will interact frequently with customers, provide expert opinions, and support HCL’s strategic vision.

Key Responsibilities

Key Responsibilities Technical & Engineering Leadership • Design and implement AI and cloud architectures, integrating GenAI technologies to enhance functionality and scalability. • Participate in architectural discussions with clients, providing guidance on best practices for AI and cloud integration. • Ensure solutions align with microservice and container-based environments across public, private, and hybrid clouds. • Contribute to HCL’s thought leadership in the Cloud Native domain with a solid understanding of open source technologies (e.g., Kubernetes/CNCF) and partner technologies. • Collaborate on technical projects with global partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Service Delivery & Innovation • Develop GenAI solutions from ideation to MVP, ensuring high performance and reliability within cloud native frameworks. • Optimize AI and cloud architectures to meet client requirements, balancing efficiency and effectiveness. • Evaluate existing complex solutions and recommend architectural improvements to transform applications with cloud-native/12-factor characteristics. • Promote the adoption of GenAI technologies within cloud-native projects, driving initiatives that push the boundaries of AI integration in cloud services. 1 Thought Leadership and Client Engagement • Provide architectural guidance to clients on incorporating GenAI and machine learning into their cloud native applications and architectures. • Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, building strong, trust-based relationships. • Act as a trusted advisor, contributing to technical projects (PoCs and MVPs) with a focus on technical excellence and on-time delivery. • Author whitepapers, blogs, and speak at industry events, maintaining a visible presence as a thought leader in AI and cloud architecture. • Create and record videos to share insights and opinions on AI and cloud technologies, enhancing HCL’s industry leadership.

Skill Requirements

Collaboration and Multi-Customer Management • Engage with multiple customers simultaneously, providing high-impact architectural consultations and fostering strong relationships. • Work closely with internal teams and global partners to ensure seamless collaboration and knowledge sharing across projects. • Maintain a hands-on technical credibility, staying current with industry trends and mentoring others in the organization. Mandatory Skills & Experience • Experience: 5+ years in cloud and AI architecture design, 3+ years in software development. • Technologies: Proficiency in Python, Java (and/or Golang), and Spring; expertise in AWS, Azure, Google Cloud; Kubernetes and containerization. • AI Expertise: Machine learning model development, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. • Big Data: Experience with Hadoop and Spark. • Ethics: Knowledge of AI ethics and governance. • Methodologies: Agile and Scrum project management.

Other Requirements

Desired Skills & Experience • API Development and Integration • Data Storage Solutions (SQL, NoSQL) • AI Model Optimization and Scaling; Model Evaluation and Validation 2 • Monitoring and Logging (Prometheus, ELK Stack) • GenAI Model Utilization and MLOps • Proficiency in Data Engineering for AI, including preprocessing, feature engineering, and pipeline creation • Expertise in AI Model Fine-Tuning, Evaluation, and Bias Mitigation • Knowledge of Serverless Computing, Distributed Systems, Deep Learning Frameworks (TensorFlow, PyTorch), and Emerging Technology Trends Verifiable Certification • At least one recognized cloud professional certification (AWS Certified Solutions Architect, Google Professional Cloud Architect, or Microsoft Certified: Azure Solutions Architect Expert) Soft Skills and Behavioural Competencies • Excellent communication and teamwork skills, capable of collaborating effectively with diverse teams. • Demonstrates a strong customer orientation and innovative problem-solving abilities. • Skilled at adapting to organizational changes and contributing to a culture of innovation.

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engineer software development technology systems jobs in shastri nagar delhi delhi

Platform Engineer III

Technical Delivery Lead

Senior Field Support Engineer

Deskside Support Technician

BESS Cheif Architect

Principal Field Service Engineer

Scala Developer

Productivity Engineer/ Construction Project Managers -Construction

Strategic Account Manager – North India (Enterprise & Mid-Market Customers)

Android Developer

Mobile Developer for Android / IoS

Area Sales Executive : Uttar Pradesh - Western Region (India)

Product Engineer - Software Reliability

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