Software Developer (Windows App/Mobile App);Visual Studio

Job Title : Lead Database Engineer

Location : Gurgaon Sector-43

Experience Required : 4+ Years

Employment Type : Full-Time

Summary :

We are seeking a highly skilled Lead Database Engineer with expertise in managing and optimizing database systems, primarily focusing on Amazon Aurora PostgreSQL, MySQL, and NoSQL databases. The ideal candidate will have in-depth knowledge of AWS services, database architecture, performance tuning, and security practices.

Key Responsibilities :

1. Database Administration :

• Manage and administer Amazon Aurora PostgreSQL, MySQL, and NoSQL database systems to ensure high availability, performance, and security.
• Implement robust backup and recovery procedures to maintain data integrity.

2. Optimization and Performance:

• Develop and execute optimization strategies at the database, query, collection, and table levels.
• Proactively monitor performance and fine-tune RDS parameter groups for optimal database operations.
• Conduct root cause analysis and resolve complex database performance issues.

3. AWS Services and Architecture :

• Leverage AWS services such as RDS, Aurora, and DMS to ensure seamless database operations.
• Perform database version upgrades for PostgreSQL and MySQL, integrating new features and performance enhancements.

4. Replication and Scalability:

• Implement and manage various replication strategies, including master-master and master-slave replication, ensuring data consistency and scalability.

5. Security and Access Control:

• Manage user permissions and roles, maintaining strict security protocols and access controls.

6. Collaboration:

• Work closely with development teams to optimize database design and queries, aligning database performance with application requirements.

Required Skills :

• Strong Expertise: Amazon Aurora PostgreSQL, MySQL, and NoSQL databases.
• AWS Services: Experience with RDS, Aurora, and DMS.
• Optimization: Hands-on experience in query optimization, database tuning, and performance monitoring.
• Replication Strategies: Knowledge of master-master and master-slave replication setups.
• Problem Solving: Proven ability to troubleshoot and resolve complex database issues, including root cause analysis.
• Security: Strong understanding of data security and access control practices.
• Collaboration: Ability to work with cross-functional teams and provide database-related guidance.

Preferred Qualifications :

• Certification in AWS or database management tools.
• Experience with other NoSQL databases like MongoDB or Cassandra.
• Familiarity with Agile and DevOps methodologies.

Skills: Digital: Application Programming Interface (API)~Java Rest web services~ AI Agents~ AI & Gen AI - Products & Tools

Job Description – Gen AI Developer

Exp: 5-8 years

Role Summary

We are looking for a skilled AI Developer to design, develop, and deploy AI-powered applications, intelligent automation solutions, and Generative AI systems. The ideal candidate should have hands-on experience in Python development, Large Language Models (LLMs), Prompt Engineering, AI agent development, workflow automation, and cloud AI services.

Key Responsibilities

AI Application Development

· Design and develop AI-powered business applications.

· Build enterprise AI assistants, copilots, and AI agents.

· Develop AI APIs and intelligent automation workflows.

· Integrate AI capabilities into enterprise applications.

· Create scalable and production-ready AI solutions.

Generative AI Development

· Build applications using Large Language Models (LLMs).

· Develop Prompt Engineering frameworks.

· Implement RAG (Retrieval-Augmented Generation) solutions.

· Integrate OpenAI and Azure OpenAI models.

· Develop conversational AI and intelligent assistants.

Intelligent Automation

· Build workflow automation solutions.

· Develop AI-driven business process automation.

· Create intelligent document processing solutions.

· Integrate AI with enterprise business systems.

· Automate repetitive operational processes.

Conversational AI

· Build AI chatbots and virtual assistants.

· Design conversational workflows.

· Implement multi-channel AI solutions.

· Enable human-in-the-loop AI workflows.

Model Development & Integration

· Develop and deploy machine learning models.

· Fine-tune AI models for business use cases.

· Build inference APIs and AI services.

· Support model lifecycle management.

Mandatory Technical Skills: Programming Languages

Must Have

· Python

· SQL

· REST APIs

· JSON

Technical requirements in current AI architecture documents explicitly highlight strong experience in Python and AI solution development.

Generative AI

Must Have

· OpenAI

· Azure OpenAI

· Prompt Engineering

· LLM Integration

· AI Assistants

· RAG Architecture

Good to Have

· Claude

· Gemini

· Llama Models

· Mistral

AI leadership and AI architecture requirements specifically reference Generative AI, Azure OpenAI, prompt engineering, orchestration, and enterprise AI adoption.

AI Frameworks

Preferred

· LangChain

· Semantic Kernel

· LlamaIndex

· Hugging Face

· AutoGen

· CrewAI

Machine Learning

Must Have

· Scikit-Learn

· TensorFlow

· PyTorch

Concepts

· Model Training

· Model Evaluation

· Model Deployment

· Feature Engineering

NLP & Semantic Search

· Natural Language Processing

· Embeddings

· Vector Search

· Semantic Search

· Text Analytics

· Knowledge Retrieval

Microsoft AI Stack

Must Have

· Microsoft Copilot Studio

· Power Automate

· Azure AI Services

· Azure AI Foundry

The internal AI Architecture JD explicitly calls out Copilot Studio, Power Automate, Azure AI Foundry, and Generative AI technologies as core competencies.

Cloud Platforms

Microsoft Azure

· Azure AI Services

· Azure OpenAI

· Azure AI Foundry

· Azure Functions

· Azure App Services

· Azure Storage

· Azure Machine Learning

AWS (Preferred)

· SageMaker

· Bedrock

· Lambda

· S3

Cloud-native AI platforms including Azure ML and SageMaker are referenced within internal AI/ML architecture requirements.

Automation & Integration

· Power Automate

· Workflow Automation

· API Integration

· Microsoft Graph API

· Intelligent Process Automation

MLOps & DevOps

Preferred

· Git

· Azure DevOps

· CI/CD Pipelines

· Docker

· Kubernetes

· Model Monitoring

· Model Versioning

Current AI architecture standards include MLOps lifecycle management, model deployment, monitoring, and CI/CD integration.

BFSI Domain Experience (Preferred)

Experience in:

· Banking

· Corporate Banking

· Payments

· Risk Management

· Fraud Detection

· Insurance

· Financial Data Analytics

Soft Skills

· Strong analytical mindset

· Innovation-driven approach

· Problem-solving skills

· Excellent communication skills

· Stakeholder management

· Team collaboration

Educational Qualification

· B.E. / B.Tech.

· MCA

· M.Tech.

· Computer Science

· Artificial Intelligence

· Data Science

· Machine Learning

Preferred Certifications

· Microsoft Azure AI Engineer Associate (AI-102)

· Azure Fundamentals (AZ-900)

· Azure OpenAI Certifications

· Machine Learning Certifications

· Generative AI Certifications

Urgent Hiring – SBI Life Insurance Sales Process 🚨

📍 Location: Nahur (Near Railway Station)

💼 Job Details:

🔹 Process: SBI Life Insurance Sales

🔹 Role: Sales Executive (Outbound)

🎯 Eligibility Criteria:

* Minimum 1 year experience in calling / sales

* Qualification: HSC Pass

* Good communication skills required

⏰ Shift & Week Off:

* Shift Timing: 10:00 AM – 7:00 PM

* Week Off: Rotational

📍 Address:

Nahur West (Near Station)

⚠️ Important:

* Immediate joiners preferred

* Sales mindset required

Key Responsibilities:

• Develop and execute OCM strategies for ServiceNow transformation initiatives.
• Drive stakeholder engagement, communication, and change adoption activities.
• Conduct impact assessments and readiness evaluations.
• Plan and deliver training, user enablement, and awareness programs.
• Facilitate workshops, feedback sessions, and adoption assessments.
• Collaborate with business and project teams throughout the implementation lifecycle.
• Track adoption metrics and ensure sustainable business outcomes.
• Promote change management best practices and continuous improvement.

Required Skills:

• ServiceNow, Organizational Change Management (OCM), Stakeholder Management, Change Impact Assessment, Communication Planning, Training & Enablement, Change Readiness, User Adoption, Workshop Facilitation, Business Transformation

Strong Head of Engineering / Engineering Director / VP Engineering Profiles.

Mandatory (Experience 1): Must have minimum 15+ years of overall experience in software engineering roles

Mandatory (Experience 2): Must have minimum 8+ years of experience in senior engineering leadership roles (Head of Engineering, Director, Engineering Manager, or equivalent)

Mandatory (Experience 3): Must have strong hands-on proficiency in .NET, Python, and Node.js, with the ability to guide teams on coding standards and best practices

Mandatory (Experience 4): Must have solid experience working with relational and NoSQL databases, specifically PostgreSQL and MongoDB

Mandatory (Experience 5): Must have strong understanding of system architecture principles, scalable system design, and hands-on experience with design patterns such as DDD and CQRS

Mandatory (Experience 6): Must have hands-on experience building and scaling cloud-native microservices, preferably on Azure, with strong exposure to Docker and Kubernetes

Mandatory (Experience 7): Must have proven experience building, mentoring, and scaling high-performing engineering teams across ERP, POS, and Integration platforms

Mandatory (Experience 8): Must have ownership of end-to-end product delivery, including planning, execution, release management, and production readiness for SaaS

Mandatory (Note): Candidate should be from Kolkata or neayby states, Do ensure their willingness to relocate if they are not from Kolkata

Preferred

To ensure the highest standards of health, safety, and environmental compliance and stewardship across all phases of operations within the solar panel and battery manufacturing plant. This role will lead the implementation of proactive risk mitigation strategies, promote a culture of safety, and ensure sustainable and legally compliant environmental practices.

Key Responsibilities

- Develop and implement the HSE vision, policies, and systems aligned with corporate objectives and government regulations.

- Guide the organization towards a safety-first culture with clear KPIs for safety performance.

- Influence cross-functional teams to incorporate HSE into business planning and operational execution.

- Ensure compliance with Indian and international HSE laws, including Factories Act, Environment Protection Act, and Battery Waste Management Rules.

- Liaise with regulatory bodies such as MoEFCC, MPCB, and DISH for necessary approvals, inspections, and reporting.

- Oversee implementation of safety procedures specific to solar cell manufacturing (e.g., chemical handling) and battery production (e.g., lithium-ion risks).

- Lead incident investigations, root cause analysis, and corrective action implementation.

- Monitor plant operations for potential environmental and safety hazards using modern risk assessment tools (e.g., HAZOP, FMEA).

- Design and execute regular safety drills, workshops, and certifications.

- Mentor site HSE managers and create a strong safety culture at all levels of the plant.

- Ensure behavioral safety programs and toolbox talks are embedded in daily routines.

- Sustainability and Environmental Management

- Develop programs for waste management, emissions control, water conservation, and clean energy usage.

- Implement ISO 14001 and ISO 45001 frameworks across the facility.

- Promote circular economy principles in battery lifecycle and solar module disposal.

Qualifications

- Bachelor's or Master's Degree in Environmental Science, Engineering, Occupational Health, or related field.

- NEBOSH/IOSH Certification or equivalent HSE qualification mandatory.

- 15+ years of experience, with at least 5 years in a leadership role in a large-scale manufacturing or energy plant.

- Deep understanding of solar and battery-specific safety and environmental risks.