Amazon Web Services (AWS)Intuitive Cloud is #hiring for Cloud Network Security Specialist.
looking for Immediate Joiner
Open to work on EST Time (6 pm to 3 am IST)
100 % Remote Opportunity
Location: India
- 8+ years of Strong Enterprise networking with Routing/Switching configuration/diagnostic experience in Global Network infrastructure design delivery of WAN, LAN, Firewall, and F5.
- Experience with Cisco hardware and OS : Catalyst switches, ISR/ASR routers, ASA
- Strong practical experience with Palo Alto firewalls is a MUST (VM series, CN series and other DC models)
- Strong understanding of the following Network protocols: BGP, IPsec and IPsec VTI VPN
- Experience and in-depth understanding of TCP/IP packets with ability to analyse captured packets for deep troubleshooting.
- Work closely with the Network architecture, security and application teams to rollout new designs and perform activities for supporting cloud application migration projects.
- Leverage his/her prior experience with Azure and AWS to implement global connectivity Secure solutions.
- Security Architecture: Build Cloud Network Architecture to support Encryption of Data at rest and transit
- Other services such as Guardrail, GuardDuty, AWS shield, CloudFront, AWS Control Tower, Inspector
Shubham Vishwakarma
Full Stack Developer - Averlon
About Intuitive Technology Partners
About
Company social profiles
Similar jobs
About MyOperator
MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement
Role Summary
We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.
This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.
Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.
Responsibilities
Requirement Discovery & Stakeholder Interaction
- Join customer calls alongside Sales and Revenue teams.
- Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
- Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
- Act as the AI subject-matter expert during client discussions.
Use Case & Solution Documentation
- Convert discussions into clear, structured use case documents, including:
- Problem statement & goals.
- Current vs. proposed conversational flows.
- Chatbot conversation logic, integrations, and dependencies.
- Assumptions, limitations, and success criteria.
Customer Delivery Ownership
Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.
Prompt Engineering & Conversation Design
Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."
Testing, Debugging & Iteration
Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.
Integrations & Technical Coordination
Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.
What Success Looks Like
- Customer bots go live quickly and show high containment + high task completion with low escalation.
- You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
- Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.
Requirements (Must Have)
- 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
- Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
- Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
- Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
- Willingness to be front deployed (customer calls/visits as needed).
Good to Have (Nice to Have)
- Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects.
- Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
- Prior SaaS onboarding/delivery experience in mid-market or enterprises.
Working Style & Traits We Value
- High agency: you don’t wait for perfect specs—you create clarity and ship.
- Customer empathy + engineering discipline.
- Strong bias for iteration: deploy → learn → improve.
- Calm under ambiguity (real customer environments are chaotic by default).
About Wissen Technology
Wissen Technology, established in 2015 and part of the Wissen Group (founded in 2000), is a specialized technology consulting company. We pride ourselves on delivering high-quality solutions for global organizations across Banking & Finance, Telecom, and Healthcare domains.
Here’s why Wissen Technology stands out:
Global Presence: Offices in US, India, UK, Australia, Mexico, and Canada.
Expert Team: Wissen Group comprises over 4000 highly skilled professionals worldwide, with Wissen Technology contributing 1400 of these experts. Our team includes graduates from prestigious institutions such as Wharton, MIT, IITs, IIMs, and NITs.
Recognitions: Great Place to Work® Certified.
Featured as a Top 20 AI/ML Vendor by CIO Insider (2020).
Impressive Growth: Achieved 400% revenue growth in 5 years without external funding.
Successful Projects: Delivered $650 million worth of projects to 20+ Fortune 500 companies.
For more details:
Website: www.wissen.com
Wissen Thought leadership : https://www.wissen.com/articles/
LinkedIn: Wissen Technology
We are seeking a highly skilled Azure Cloud professional to manage, design, and engineer scalable and secure cloud infrastructure on Microsoft Azure. The ideal candidate will have a strong background in cloud infrastructure, system administration and architecture design.
Responsibilities:
- Manage and maintain Azure resources including Virtual Machines, Virtual Networks, Storage Accounts, Azure AD, and Resource Groups.
- Monitor and optimize resource usage and performance.
- Implement and manage backup, disaster recovery, and high availability.
- Ensure security and compliance using Azure Security Center, Defender, and Azure Policies.
- Design scalable, resilient, and cost-effective cloud architectures aligned with business goals.
- Define and document Azure architecture standards, governance models, and best practices.
- Collaborate with stakeholders to translate business requirements into technical solutions.
- Plan and lead cloud migration strategies from on-premises or other cloud providers to Azure.
Required Skills & Qualifications:
- 5–10 years of experience with Microsoft Azure platform in admin, architect, or engineer roles.
- Strong understanding of networking, identity, security, and governance in Azure.
- Hands-on experience with Azure IaaS, PaaS, and hybrid cloud environments.
- Proficiency with PowerShell, Azure CLI, and scripting for automation.
- Experience in monitoring and performance tuning using Azure Monitor, Log Analytics.
- Familiarity with Azure Cost Management and optimization strategies.
Preferred Qualifications:
- Microsoft certifications such as:
- AZ-104: Microsoft Azure Administrator
- AZ-305: Azure Solutions Architect Expert
- AZ-400: Azure DevOps Engineer Expert
- Knowledge of compliance standards (ISO, HIPAA, etc.)
- Experience with hybrid infrastructure (on-prem + Azure)
- Familiarity with other cloud platforms (AWS, GCP) is a plus.
Machine Learning (ML)
Data ScienceChanging the way cataloging is done across the Globe. Our vision is to empower the smallest of
sellers, situated in the farthest of corners, to create superior product images and videos, without the need
for any external professional help. Imagine 30M+ merchants shooting Product Images or Videos using
their Smartphones, and then choosing Filters for Amazon, Asos, Airbnb, Doordash, etc to instantly
compose High-Quality "tuned-in" product visuals, instantly.
editing AI software, to capture and process beautiful product images for online selling. We are also
fortunate and proud to be backed by the biggest names in the investment community including the likes of
Accel Partners, Angellist and prominent Founders and Internet company operators, who believe that
there is an intelligent and efficient way of doing Digital Production than how the world operates currently.
Job Description :
- We are looking for a seasoned Computer Vision Engineer with AI/ML/CV and Deep Learning skills to
play a senior leadership role in our Product & Technology Research Team.
- You will be leading a team of CV researchers to build models that automatically transform millions of ecommerce, automobiles, food, real-estate ram images into processed final images.
- You will be responsible for researching the latest art of the possible in the field of computer vision,
designing the solution architecture for our offerings and lead the Computer Vision teams to build the core
algorithmic models & deploy them on Cloud Infrastructure.
- Working with the Data team to ensure your data pipelines are well set up and
models are being constantly trained and updated
- Working alongside product team to ensure that AI capabilities are built as democratized tools that
provides internal as well external stakeholders to innovate on top of it and make our customers
successful
- You will work closely with the Product & Engineering teams to convert the models into beautiful products
that will be used by thousands of Businesses everyday to transform their images and videos.
Job Requirements:
- 4-5 years of experience overall.
- Looking for strong Computer Vision experience and knowledge.
- BS/MS/ Phd degree in Computer Science, Engineering or a related subject from a ivy league institute
- Exposure on Deep Learning Techniques, TensorFlow/Pytorch
- Prior expertise on building Image processing applications using GANs, CNNs, Diffusion models
- Expertise with Image Processing Python libraries like OpenCV, etc.
- Good hands-on experience on Python, Flask or Django framework
- Authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR,ICCV, ACL)
- Prior experience of managing teams and building large scale AI / CV projects is a big plus
- Great interpersonal and communication skills
- Critical thinker and problem-solving skills
Vue.js
AngularJS (1.x)
Angular (2+)
React.js
Javascript- Solid experience in PHP/Frameworks of PHP (Laravel,Codeignitor,etc)
- Excellent knowledge of JavaScript, jQuery
- Experience in working with REST APIs and AJAX
- Good understanding of database design and optimization
- Experience of responsive and mobile-first design platforms like Bootstrap
- Knowledge of version control systems like GIT
- In-depth understanding of Agile development process
Desired Candidate Profile and skill set:
- Minimum 2 years of relevant software development experience.
- Good Knowledge of E-commerce websites and WordPress
- Experience in ReactJs and Redux, React-Native would be a plus
Python
DjangoMust have - Strong python
At Prolifics, we are currently implementing multiple solutions on Tosca Automation and we are looking to hire talented Tosca Architect for our development centre in India. This position would be based out of location and is a permanent position.
If you are looking for a high growth company with rock-solid stability, if you thrive in the energetic atmosphere of high profile projects, we want to talk to you today! Let’s connect and explore possibilities of having you onboard the Prolifics team!
Job Title: Performance Test Manager
Location: Hyderabad
Educational Qualification: B.Tech/BE/M.Tech/MCA/M.Sc
- Good Communications Skills
- Minimum 10 years of experience in Performance testing
- Strong Experience in Load Testing
- Experience in Neoload
- Experience in Performance Monitoring tools
- Strong experience in designing load testing strategies and leading the activities from planning, preparation, execution and reporting phases
- Knowledge on Application Performance Monitoring tools Experience in working with middleware protocols like Web services (XML, JSON), MQ and technologies involving microservices architecture.
About us:
Prolifics Corporation Limited is a Global Technology Solutions Provider with presence across North America (USA and Canada), Europe (UK and Germany), Middle East & Asia. In India, we have off shore development centers: 3 in Hyderabad & 1 in Pune. For more than 40 years, Prolifics has transformed enterprises of all sizes including over 100 Fortune 1000 companies by solving their complex IT challenges. Our clients include Fortune 50 and Fortune 100 companies across a broad range of industries including Financial Services, Insurance, Government, Healthcare, Telecommunications, Manufacturing and Retail. We rank consistently in Dream Companies to Work For and Dream Employer of the Year ranking from World HRD Congress, ranked 7 in 2019. We encourage you to visit us on www.prolifics.com or follow us on Twitter,LinkedIn, Facebook, YouTube and other social media to know more about us.
Responsibilities:
- Genrate leads from Bidding portal (Upwork, Guru, PPH,etc...).
- B2B Lead Genearation from LinkedIn
- Excellent communication and interpersonal skills
- Client research and Email Campainging
- Revenue realization by generating business leads from Internet/Other sources
- Identify the customer needs and develop customized solutions for delivery
- Cold Calling alsoto potential clients
- Respond to sales requirements from existing and potential customers
- Build & maintain healthy relationship with the company's clients
- Responsible to achieve monthly target
- Regular Reporting to the senior management & Follow-ups with the customers/clients
- Maintain Daily & Monthly status reports
- To acquire new corporate clients in the specified region /market
React.jsJavascript
HTML/CSS
jQuery
React Native• Develop compelling mobile application functionality on high-traffic mobile apps and RESTful services.
• Participate in architecture and design of mobile applications and services with developer mentors.
• Ensure cross-platform application compatibility with dominant mobile platforms and versions.
• Apply strong analytical and development skills to troubleshoot and performance tune mobile apps and services.
• Create and update automated unit and acceptance tests to ensure software quality.
• Work closely on an agile team in a collaborative environment.
• Readily able to monitor environments and troubleshoot unforeseen problems.
Skills:
• Advanced understanding of React
• Typescript/ES6 JavaScript
• Experience with React Native strongly preferred
• Understanding of Redux and Redux-Saga
• Good technical skills & SOLID design principles (e.g., design patterns)
• Excellent oral and written communication skills in English.
Data ScienceMachine Learning (ML)Python- Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
- Implement data pipelines, new features, and algorithms that are critical to our production models
- Create scalable strategies to deploy and execute your models
- Write well designed, testable, efficient code
- Identify valuable data sources and automate collection processes.
- Undertake to preprocess of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns.
Requirements:
- 2+ years of experience in applied data science or engineering with a focus on machine learning
- Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
- strong quantitative and programming skills with a product-driven sensibility
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon