Requirements

Please share me profiles on a Fullstack developer
Exp- 5+ yrs
Mandatory skills- Node.js, Angular, Nest.js
Passport & UAN are mandatory

Skill Set

• Angular
• HyperText Markup Language (HTML)
• Nodejs
• Reactjs

Requirements

Key Responsibilities:
• Develop and fine-tune detection rules and analytics using KQL (Microsoft Sentinel) and SPL (Splunk).
• Lead threat hunting activities leveraging EDR telemetry, SIEM logs, and threat intelligence sources.
• Design and implement detections based on behavioral patterns and MITRE ATT&CK mappings.
• Investigate security alerts and incidents, triage threats, and provide detailed incident reports and root
cause analysis.
• Build and maintain incident response playbooks, SOPs, and runbooks to streamline SOC operations.
• Collaborate with internal teams to continuously improve detection logic and incident workflows.
• Mentor and train junior analysts, promote knowledge sharing, and support SOC skill development.
• Develop integrations and use cases with various log sources from on-prem, cloud, and hybrid
environments.
• Utilize OSINT tools and frameworks (e.g., VirusTotal, Shodan, Censys, MISP, AbuseIPDB, Whois, etc.)
during threat investigation and enrichment.
• Drive automation and orchestration where applicable using SOAR technologies.
• Stay up to date on threat intelligence, emerging tactics, techniques, and procedures (TTPs).
Technical Skill Requirements:
• Detection Engineering: Strong expertise in writing detection queries (KQL/SPL), developing use cases, and
tuning alerts.
• SIEM: Hands-on experience with Microsoft Sentinel and Splunk (Enterprise Security).
• EDR/XDR: CrowdStrike Falcon, Microsoft Defender for Endpoint.
• Cloud Security: Security monitoring in Azure, AWS, and GCP.
• Microsoft 365 Security: Defender for Office 365, Entra ID (Azure AD), Purview (compliance).
• Web Security Filtering: Experience or knowledge of Zscaler and similar solutions.
• Incident Response: Playbook development, SOPs, runbook creation, triage, and remediation.
• OSINT Tools: Practical usage of VirusTotal, URLScan.io, MISP, Shodan, Censys, GreyNoise, AbuseIPDB,
Whois, etc.
• Log Analysis: Deep understanding of log formats from servers, network devices, cloud services, and
applications.
• Automation/SOAR: Familiarity with automation frameworks (Logic Apps, Sentinel Playbooks, Splunk
SOAR) is a plus

Skill Set

• Aws
• Azure
• Dynamics 365 environments
• GCP
• Microservices

Requirements

Snowflake Architect or Senior Data Engineer focused on Snowflake.
AWS, Azure, or GCP.
Snowflake data warehouse solutions.

Skill Set

• Aws
• Azure
• Data Engineer
• GCP

Requirements

• Strong expertise in Apex, LWC, Aura Components.
• Experience in API integrations and data migration.
• Good understanding of Salesforce security model (Sharing & Visibility).
• Experience with Git, CI/CD, and deployment tools.
• Strong problem-solving and stakeholder communication skills.

Skill Set

• Apex
• CI/CD
• LWC
• Salesforce

Requirements

Visualization & Frontend Rendering

Strong experience with interactive visualization frameworks
WebGL / Three.js / Deck.gl / Babylon.js ( Great to have any one of these)
JavaScript / TypeScript + React (preferred)
Strong Python development skills
FastAPI/Django
DevOps Experience
Experience optimizing GPU-accelerated browser rendering
Experience building data and visualization backends in Python
High-resolution / multi-screen dashboard design experience

Skill Set

• DevOps
• Django
• Fast API
• Python
• Reactjs

Requirements

*NOTE: UAN Should be Validated*

*Role: Data & Analytics Consultant (AWS / Snowflake / Lakehouse)*
*Location: Remote*
*Experience: 6+ Years*
*Engagement Type: Consulting Support Role*
*Time Shift: 2:00 - 11:00 PM* 

The consultant will work closely with Solution Architects and senior stakeholders, contributing to architecture implementation, data engineering, and modern lakehouse initiatives. While prior consulting experience is preferred, it is not mandatory; strong technical depth and communication capability are essential.
This role requires collaboration with US-based stakeholders and participation in requirement discussions, solution design, and delivery execution.

*Key Responsibilities*
* Engagement Support & Requirement Understanding
* Participate in requirement gathering sessions with business and technical teams.
* Translate functional requirements into technical designs and implementation plans.
* Support senior consultants and architects in solution articulation and documentation.
* Contribute to client discussions with structured and clear communication.

*Architecture & Implementation*
* Contribute to design of modern Data Warehouse and Lakehouse architectures.
* Build and support solutions using:
* AWS ecosystem (S3, Glue, Lambda, IAM, Redshift, etc.)
* Snowflake (Warehousing, Snowpark, Streams/Tasks, Data Sharing)
* Open table formats (Delta Lake / Apache Iceberg  good to have)

*Data Engineering & Platform Enablement*
* Knowledge of ingestion and transformation pipelines.
* Collaborate with cross-functional teams across time zones.
* AI & Modern Data Stack Enablement
* Support AI/ML readiness initiatives (feature pipelines, curated datasets).

*Contribute to adoption of*
* Lakehouse patterns
* Open table formats (Delta / Iceberg)
* Evaluate and experiment with new data technologies under guidance.

*Required Skills & Experience*
* Experience
* 6+ years of experience in Data Engineering / Data Warehousing / Analytics.
* Experience working on cloud-based data platforms.
* Exposure to client-facing environments is preferred but not mandatory.

*Technical Expertise (Mandatory)*
* Strong hands-on experience with AWS data services.
* Strong hands-on experience with Snowflake architecture and performance optimization.
* Solid understanding of:
* Data Warehousing concepts (dimensional modeling, performance tuning)
* Lakehouse architecture fundamentals
* Modern ELT patterns
* Experience building scalable data pipelines in cloud environments.

*Good to Have*
* Exposure to Delta Lake / Apache Iceberg.
* Understanding of AI/ML data preparation workflows.
* Experience supporting US-based clients.
* Familiarity with Infrastructure-as-Code concepts.

*Communication & Professional Skills*
* Strong analytical and problem-solving skills.
* Clear written and verbal communication.
* Ability to work in a structured consulting engagement model.
* Comfortable working with US stakeholders across time zones.

Skill Set

• Artificial Intelligence
• Aws
• Data Analyst -
• Machine Learning

Requirements

ServiceNow Event management || 8 years || Remote || 4:00Pm to 1:00PM.

Hands-on experience with ServiceNow Event
Management module, including configuration and
integration
o Strong development experience in Workflows,
Sub-flows, Flow Designer, and process integrations
o Familiarity with third-party monitoring and
alerting tools like SolarWinds, Dynatrace, Splunk or
similar platforms.
o Experience with Regex, Java Script, PowerShell,
Python, and/or Linux scripting, and RESTful API
o Proficiency in configuring event correlation,
alerting workflows, and incident generation within
ServiceNow.
o Knowledge of ITIL practices and experience
implementing event-driven incident management
processes.
o Selected candidate is expected to work on US
Eastern Time zone
o Provide weekend prod implementation, upgrade
validation support, on-call support as required
o Customer focus: Commitment to delivering value
to customers and ensuring their requirements are met

Skill Set

• JavaScript
• Python
• ServiceNow
• Unix/Linux

Requirements

Full Stack Gen AI Lead Engineer || 12- 15 years || (Remote)   candidate will need to visit the  office in their city to collect the laptop

Work Areas:
• Full Stack with proficiency in programming languages such as Python, NodeJS,
Java, Angular.
• Ability to guide team in designing and architecture aspects of the project.
• Experience with production grade implementation of agentic systems using
agentic framework like ADK etc. and usage of other protocols like MCP or A2A
etc.
• Sound understanding of GenAI concepts like LLM, Langchain, RAG Framework,
tokens, vector databases like Weaviate etc.
• Working knowledge of using any LLM platforms like OpenAI, Bedrock etc. and
models like GPT, Llama, Claude, Mistral etc.
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure).
• Proven experience in developing and hosting SLMs that can handle production
grade use cases.
• Ability to do FinOps in the area of LLM token utilization and other cost
optimization techniques.
• Experience with large-scale data processing and analysis.
• Experience working with different data modalities (e.g., images, text, audio).
• Evaluate the performance of generative models using appropriate metrics and
benchmarks.
• Identify and address performance bottlenecks and improve model efficiency.
• Ability to review current ongoing App-Dev development projects and bring in
efficiency in the overall project lifecycle by usage of automation and GenAI
(through usage of existing approved enterprise tools like copilots or Kero).
"

Skill Set

• Angular
• Aws
• Azure
• GCP
• Gen AI
• Nodejs
• Python
• Technical Leadership

Requirements

Senior Django Developer || 6-8 years

Key Responsibilities
Refactor legacy Django templates containing heavy business logic into a modular and maintainable architecture.
Implement a modern UI stack using HTMX + Alpine.js for improved interactivity and maintainability.
Reduce reliance on legacy JavaScript libraries (e.g., jQuery) and modernize frontend dependencies.
Improve code structure, reusability, and composability across the application.
Ensure stability of complex feature sets while minimizing regression risks.
Work independently with strong attention to detail and quality.
Collaborate with internal stakeholders for smooth integration and delivery.

Required Skills
Strong hands-on experience with Python and Django (Senior-level expertise)
Proven experience working on large or complex Django codebases
Experience with HTMX and Alpine.js (must-have or strong familiarity)
Solid understanding of server-rendered architectures
Strong frontend fundamentals (JavaScript, HTML, CSS)
Experience refactoring legacy systems and improving maintainability
Ability to work independently with minimal oversight

Skill Set

• Django
• HTML,CSS
• JavaScript
• Python

Requirements

Product Manager - Business Analysist
Experience: 4–6 Years
Location: Mumbai/Remote
Employment Type: Full-Time
Department: Product / Technology

Role Overview
We are seeking a dynamic and results-driven Product Manager & Business Analyst with 4–6
years of experience in product development and business analysis. The ideal candidate will

bridge business needs and technical solutions, own product lifecycle activities, and drive data-
driven decision-making to deliver high-impact digital products.

This role requires strong stakeholder management, analytical thinking, product strategy
alignment, and hands-on experience working in Agile environments.

Key Responsibilities
Product Management
● Define and articulate product vision, strategy, and roadmap aligned with business
objectives.
● Conduct market research, competitive analysis, and customer discovery to identify
opportunities.
● Own end-to-end product lifecycle from ideation to launch and post-launch optimization.
● Prioritize product backlog based on business value, customer impact, and technical
feasibility.
● Define product KPIs and track performance using data analytics tools.
● Collaborate with UX/UI, engineering, QA, and marketing teams to deliver high-quality
releases.
Business Analysis
● Gather, analyze, and document business requirements (BRD, FRD, PRD, user stories).
● Translate business needs into functional and non-functional requirements.
● Conduct stakeholder workshops, interviews, and requirement elicitation sessions.

● Create process flows, wireframes, use cases, and acceptance criteria.
● Support UAT, validate deliverables, and ensure solutions meet business objectives.
● Identify process improvements and automation opportunities.

Required Qualifications
● Bachelor’s degree in Business, Engineering, Computer Science, or related field.
● 4–6 years of experience in Product Management and/or Business Analysis.
● Strong understanding of Agile/Scrum methodologies.
● Experience writing user stories and managing backlogs in tools like JIRA, Confluence, or
similar.
● Proven experience working with cross-functional technical teams.
● Strong analytical and problem-solving skills.
● Excellent stakeholder management and communication skills.
● Experience with data analysis and reporting tools (Excel, SQL, Power BI, Tableau, etc.).

Key Competencies
● Strategic Thinking
● Requirement Elicitation
● Stakeholder Management
● Data-Driven Decision Making
● Agile Execution
● Communication & Presentation Skills
● Problem Solving & Critical Thinking

Skill Set

• PowerBI
• QA
• SAP SD Business Analyst
• SQL (Programming Language)
• UI/UX