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Job description:

Job Description

Position: WalkMe Developer

Experience: 5+ Years

Location: Pune / Chennai (Hybrid)

Employment Type: Contract Role – Payroll with Haparz

Budget: Open for the right candidate

Job Overview

We are looking for an experienced WalkMe Developer to design, develop, and maintain digital adoption solutions that enhance user experience across enterprise applications. The ideal candidate should have strong hands-on expertise in the WalkMe platform, digital workflow automation, user guidance creation, and application adoption strategies.

The role involves building guided experiences such as Smart Walk-Thrus, Launchers, SmartTips, ShoutOuts, and Surveys to improve user engagement, reduce support dependency, and increase adoption of key business applications and processes.

Key Responsibilities

• Design, build, and configure WalkMe digital adoption solutions across enterprise applications
• Develop Smart Walk-Thrus, Launchers, SmartTips, ShoutOuts, Surveys, and automation workflows
• Understand business processes, user pain points, and application usage challenges
• Translate business and process requirements into intuitive in-app guidance workflows
• Work closely with business users, product teams, training teams, UX teams, and application stakeholders
• Perform testing and validation across browsers, applications, and multiple user scenarios
• Troubleshoot and debug WalkMe implementations and platform-related issues
• Monitor WalkMe analytics, engagement metrics, and adoption reports
• Recommend enhancements to improve user adoption and process efficiency
• Maintain and optimize existing WalkMe implementations
• Ensure consistency in digital adoption standards and user experience

Required Skills

• Strong hands-on experience with WalkMe platform development and configuration
• Expertise in Smart Walk-Thrus, SmartTips, Launchers, ShoutOuts, and Surveys
• Good understanding of Digital Adoption Platforms (DAP)
• Knowledge of HTML, CSS, JavaScript, and browser developer tools
• Experience working with enterprise web applications
• Strong debugging and troubleshooting skills
• Ability to analyze user journeys and business workflows
• Experience with user adoption analytics and reporting
• Strong communication and stakeholder management skills
• Ability to work independently in a fast-paced environment

Mandatory Requirements

• WalkMe Certification is mandatory
• 5+ years of overall experience
• Relevant experience in WalkMe implementation and support
• Experience working in enterprise digital transformation environments

Preferred Skills

• Experience with change management initiatives
• Exposure to LMS, CRM, ERP, HRMS, or enterprise SaaS platforms
• Understanding of user behavior analytics and adoption metrics
• Prior experience in hybrid working environments
• Ability to collaborate with global teams

Key Responsibilities

• Configure MAWM modules, rules, and workflows based on operational requirements and guidance from US/global leads.
• Perform system parameter setup, functional rule configuration, and environment preparation for testing and go-live.
• Support host–WMS integrations (OMS, TMS, WCS, MHE systems, carrier APIs) by reviewing mapping, running test transactions, and validating results.
• Assist in data setup (item, location, client, inventory profiles) to support functional testing and production readiness.
• Troubleshoot functional/system issues, working with the US team and vendor support as needed.
• Maintain configuration documentation and change logs for reference and audit purposes.
• Participate in deployment activities, including configuration migration and post-go-live support.
• Attend regular coordination calls with the US team to review tasks, priorities, and progress.

Experience & Qualifications

• 2–4 years of hands-on experience in Manhattan Active WMS (MAWM) configuration and functional setup.
• Strong understanding of WMS operations in retail, e-commerce, and 3PL environments.
• Experience with Manhattan Active API ecosystem and basic ProActive extensibility features.
• Knowledge of WMS host integrations (OMS, TMS, WCS, automation systems) and EDI/integration methods.
• Familiarity with warehouse automation and MHE/WCS/WES integrations.
• Familiarity with Manhattan WMOS (Warehouse Management for Open Systems) is a plus.
• Understanding of multi-client/multi-tenant warehouse setup in MAWM added advantage.
• Ability to work in a distributed/global team environment with clear, consistent communication.

Why Join Our Client India

• Be part of a global technology team implementing cutting-edge warehouse-as-a-service solutions.
• Gain exposure to automation, AI-driven optimization, and advanced supply chain systems.
• Opportunity to enhance your MAWM skills by working on real client implementations.

Collaborative, flexible work culture with growth potential

Key Responsibilities:

• Implement and configure Manhattan Active TMS solutions to support transportation planning, execution, and optimization.
• Collaborate with business and IT stakeholders to define transportation requirements and translate them into system configurations.
• Design and test transportation workflows, routing logic, rate management, and carrier communication.
• Support system integration with WMS, OMS, and third-party logistics systems using APIs and microservices.
• Troubleshoot, debug, and resolve functional and technical issues related to MATM.
• Assist in upgrades, patching, and ongoing system enhancements within the Manhattan Active cloud environment.
• Support end-user training, documentation, and change management activities.
• Monitor system performance and suggest continuous improvements in processes and configurations.

Required Skills & Experience:

• Minimum 4 years of experience with Manhattan Active Transportation Management (or Manhattan TMS with recent transition to Active).
• Proven knowledge of cloud-native TMS architecture, microservices, and REST APIs.
• Strong understanding of transportation operations across TL, LTL, parcel, and intermodal.
• Experience with transportation optimization, rating engines, and carrier selection.
• Hands-on experience with workflow configuration in Manhattan Active TMS.
• Familiarity with JIRA and SaaS environments.
• Ability to translate business needs into functional specifications and configuration logic.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:

• Experience integrating MATM with other Manhattan Active modules (e.g., WMS, OMS).
• Familiarity with JSON, Postman, API calls, and cloud integration tools.
• Knowledge of EDI messages (204, 214, 990, 210) and TMS-related data formats.
• Previous experience in a high-volume retail, 3PL, or manufacturing environment

Why this role exists

Our infrastructure footprint is growing faster than our headcount, and we believe most of that

gap should be closed by automation and AI agents — not by hiring more humans to do toil. We

need someone early in their career who treats manual work as a bug, ships scripts and agents

instead of tickets, and wants to grow into deeper ownership over the next two years.

You will not be the most senior person on the team. You will be the one who multiplies the team.

What you'll own

In your first 1 months

• Take ownership of one slice of our CI/CD pipeline and make it measurably

faster, more reliable, or cheaper. We expect a number on a dashboard to move.

• Build at least three internal automations that replace manual ops toil —

using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force

multiplier.

• Be the first responder for a defined set of alerts. Write the runbooks. Drive

the alert volume down.

• Support senior engineers on AI/ML infrastructure (GPU nodes, inference

services, model deployment) — observe, document, and gradually take on contained

changes under review.

By 3 months you should be

• The go-to person for at least two production systems.

• Shipping routine infrastructure changes without needing senior review.

• Treating "manual" as a code smell.

Required (we will reject without these)

• 0–3 years hands-on experience with one major cloud (AWS, GCP, or

Azure — one is fine, depth beats breadth).

• Fluent in Linux command line, bash, and at least one scripting language

(Python or Go preferred).

• Have shipped something to production that real users hit. A side project

counts; a graded coursework lab does not.

• Comfortable with Docker — you can explain what an image vs. a

container is and why it matters.

• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,

TLS, ports, basic subnets — enough to debug "it works on my machine."

• Git fluency: branches, merges, rebases, conflict resolution.

• CI/CD pipelines — you have authored or substantially modified pipelines

in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."

• Kubernetes basics — kubectl for real work, can read pod logs,

understand deployments and services, can debug a CrashLoopBackOff without

panicking. You do not need to have run a cluster; you do need to have lived inside one.

• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic

CLIs, etc.). You should be able to walk us through specific tasks where they made you

faster, and specific tasks where they failed you and how you noticed. "I have tried it" is

not enough.

Bonus (real plus, not required)

• Infrastructure as Code: Terraform, Pulumi, or Ansible.

• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.

• Have built or extended an LLM-based agent — a custom MCP server, a

scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond

chat-with-Claude.

• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or

ML pipelines.

What we don't care about

• Whether your degree is in CS — or whether you have a degree at all.

• Brand-name companies on your resume.

• Certifications. They are fine. They do not substitute for having shipped.

How we work

• We default to automation. If you do something manually twice, the third

time you script it or hand it to an agent.

• AI agents are part of the workflow, not a novelty. Expect interview

questions about exactly how you use them — and where you have caught them being

wrong.

• Small, reversible changes beat big-bang rollouts.

• Postmortems are blameless and written down.

• We push back on each other. If you only execute, you will be unhappy

here.

How to apply

Send:

• Your resume.

• A short note (≤200 words) describing one infra or automation problem you

solved, and how AI agents factored in — or did not, and why. We read these. Generic

notes get rejected.

Internal note — delete before posting externally

• Comp band, location policy, team name, and reporting line marked

[CONFIRM] need to be filled in before this goes external.

• The Required list is intentionally tight: CI/CD and Kubernetes basics

promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The

remaining pool will skew toward people who have actually shipped infra at a startup, not

bootcamp grads or pure cloud-cert holders.

• IaC, observability, agent-building, and GPU/ML serving stay as bonus.

Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces

hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5

yrs) and raise the band.

• Screening implication: the resume screen should explicitly check for

CI/CD pipeline authorship and any K8s-touching production work. If neither is on the

resume, reject at screen. Do not waste interview slots.

• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of

active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and

screen for it in interview instead). Do not relax the "shipped to production" requirement

— that is the load-bearing filter.

Senior AI/ML Architect (Generative AI Focus)

Key points:

•Immediate joiner

•Gen AI

•Lead

•RAG

•Bangalore location

•All 5 days office

•Customer round

Job Summary: We are seeking an accomplished Senior AI/ML Architect with 15+ years of experience to lead our AI initiatives with specialization in Generative AI, Agentic AI, and Large Language Models. The ideal candidate will possess deep expertise in architecting complex AI systems incorporating RAG pipelines, efficient embeddings, document processing, and autonomous agent frameworks., leading technical teams, and hiring top-tier talent to drive innovation. The candidate should also demonstrate strong expertise in code quality, evaluation methodologies, and defect management throughout the AI/ML development lifecycle.

Key Responsibilities:

AI/ML Solution Architecture & Development:

•Design and implement end-to-end AI/ML solutions, ensuring scalability, performance, and alignment with business objectives.

•Design and implement end-to-end RAG (Retrieval-Augmented Generation) systems with optimized knowledge retrieval

•Architect Agentic AI workflows using frameworks like LangChain, LlamaIndex, and AutoGen

•Develop multi-agent systems with specialized roles and orchestration capabilities

•Implement dynamic routing and decision-making logic for agent networks

•Architect and implement RAG (Retrieval-Augmented Generation) systems for knowledge-intensive applications

•Design and optimize document processing pipelines including advanced chunking strategies and metadata extraction

•Develop and fine-tune LLMs for domain-specific applications

•Architect and optimize AI pipelines, including data ingestion, preprocessing, model training, and deployment.

•Lead the integration of Generative AI (GenAI) technologies into existing workflows to enhance automation and decision-making.

Technical Leadership & Innovation:

•Provide technical guidance and mentorship to AI/ML teams, fostering a culture of innovation and excellence.

•Stay abreast of the latest advancements in AI/ML and GenAI, evaluating and adopting cutting-edge technologies as appropriate.

•Collaborate with cross-functional teams to align AI initiatives with business goals.

Code Quality & Engineering Best Practices:

•Enforce high standards of code quality, maintainability, and scalability in AI/ML implementations.

•Conduct and oversee code reviews to ensure adherence to best practices and architectural guidelines.

•Implement robust testing frameworks, including unit tests, integration tests, and system tests, to validate AI models and pipelines.

•Lead the evaluation and selection of appropriate embedding models for specific use cases

•Design optimal chunking strategies for different document types (PDFs, HTML, plain text)

•Establish best practices for vector database implementation and optimization

•Mentor junior engineers in RAG implementation and document processing techniques

Evaluation Methods & Performance Metrics:

•Define and implement comprehensive evaluation methodologies to assess model performance ensuring all metrics met.

•Monitor and analyze model performance during pre-release testing and post-release phases to identify and address defects.

•Establish metrics and KPIs to measure the effectiveness and reliability of AI solutions in production.

Defect Management & Post-Release Monitoring:

•Develop strategies for defect prevention, detection, and resolution throughout the AI/ML development lifecycle.

•Lead root cause analysis for post-release defects and implement corrective actions to prevent recurrence.

•Work closely with DevOps and QA teams to ensure seamless deployment and monitoring of AI models in production.

Hiring & Team Development:

•Lead the recruitment process for AI/ML talent, identifying and hiring skilled professionals to build high-performing teams.

•Develop and implement strategies for team growth, including training programs and career development plans.

Required Skills & Qualifications:

•Technical Expertise:

•15+ years of experience in AI/ML, with a strong focus on architecting and deploying AI solutions.

•Deep knowledge of machine learning, deep learning, and NLP, with proficiency in Python and frameworks like PyTorch, TensorFlow, or Hugging Face.

•Experience with cloud platforms and MLOps practices for model deployment and monitoring.

•GenAI Experience:

•Hands-on experience with LLMs, RAG pipelines, and AI agent frameworks.

•Familiarity with vector databases (e.g., Melvis, Pinecone, Weaviate) and graph databases.

•Code Quality & Testing:

•Strong understanding of software engineering principles, including code quality, testing, and CI/CD pipelines.

•Experience with testing frameworks and methodologies for AI/ML models.

•Evaluation & Defect Management:

•Proven ability to define and implement evaluation metrics and performance monitoring systems.

•Experience in defect management and root cause analysis for AI/ML systems.

•Leadership & Hiring:

•Proven ability to lead technical teams and hire top AI/ML talent.

•Strong communication and collaboration skills to work with stakeholders at all levels.

•Education:

•Bachelor’s/Master’s/PhD in Computer Science, Data Science, or a related field.

Preferred Qualifications:

•Experience in industries such as healthcare, finance, or manufacturing, where AI/ML solutions have been successfully deployed.

•Publications or contributions to the AI/ML community, such as research papers, open-source projects, or conference presentations.

Why Join Us?

•Opportunity to work on cutting-edge AI/ML and GenAI projects with a global impact.

•Collaborative and innovative work environment with a focus on

AI/ML Engineer (Generative AI Focus) Lead

Key points:

•Immediate joiner

•Gen AI

•Lead

•RAG

•Bangalore location

•All 5 days office

•Customer round

Job Summary: We are seeking a skilled AI/ML Engineer with 7-10 years of experience in AI/ML technologies, including hands-on expertise to develop and implement Generative AI and Agentic AI solutions. The ideal candidate will have hands-on experience with RAG systems, embedding models, document processing, and basic agent frameworks and NLP. This role involves working closely with senior architects and cross-functional teams to build scalable AI systems and integrate GenAI capabilities into our products.

Key Responsibilities:

AI/ML Development & Implementation:

•Design, develop, and deploy machine learning models for various applications, ensuring performance, scalability, and reliability

•Implement and optimize AI pipelines, including data preprocessing, feature engineering, model training, and evaluation

•Work on integrating Generative AI (GenAI) technologies, such as Large Language Models (LLMs), into production workflows

•Implement RAG systems with efficient retrieval components

•Develop document processing pipelines including chunking and metadata extraction

•Apply embedding models for semantic search applications

•Build and maintain vector databases for knowledge retrieval

Code Quality & Engineering Practices:

•Write clean, maintainable, and efficient code following best practices

•Participate in code reviews to ensure adherence to coding standards

•Implement unit tests and integration tests for AI models and components

Evaluation & Testing:

•Develop and execute test cases for AI models during black-box testing phases

•Monitor model performance using appropriate metrics and KPIs

•Assist in troubleshooting and debugging AI models in production

GenAI & LLM Expertise:

•Work with fine-tuning and optimizing LLMs for specific use cases

•Assist in developing AI agents using frameworks like LangChain or LlamaIndex

•Gain experience with vector databases and embedding models

Collaboration & Continuous Learning:

•Work closely with data scientists, software engineers, and product teams

•Stay updated with the latest advancements in AI/ML and GenAI

•Contribute to knowledge sharing within the team

Required Skills & Qualifications:

•7-10 years of hands-on experience in AI/ML development

•Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, or similar)

•Understanding of machine learning, deep learning, and NLP concepts

•Familiarity with cloud platforms.

•Basic understanding of GenAI concepts and technologies

•Bachelor's/Master's in Computer Science, Data Science, or related field

Preferred Qualifications:

•Experience with any aspect of the MLOps lifecycle

•Exposure to testing AI models and pipelines

•Contributions to open-source projects or personal AI/ML projects

•Strong problem-solving and analytical skills

Why Join Us?

•Opportunity to work on cutting-edge AI/ML projects with mentorship from senior architects

•Collaborative environment that fosters learning and growth continuous learning and growth.

3DEXPERIENCE on Cloud, ENOVIA, NETVIBES

1) 10+ years of Experience in the PLM Industry, with proficient in 3DExperience Platform

2) Strong Dassault Product knowledge across Dassault Brands (e.g. ENOVIA, DELMIA, NETVIBES) and the 3DEXPERIENCE platform is a required. Both On-Cloud and OnPrem.

3) Customer Requirements collecting, Documenting and management. PLM Use Case and process creations and definition, having excellent understanding of business data and process requirements. Experience in performing PoCs, Demonstrations and scope definition.

4) Good understanding of Different modules and technical Skill with hands on experience on different 3DExperience Brands.

5) Understand master data principles and technical overlaps among digital platforms, from PLM to ERP, MES, SCM, etc

6) Able to deal with complexity and simplify things, develop and maintain a 360 degree "big picture" view of the solution.

7) Good understanding of migration into 3DEXPERIENCE with relevant experience in the same and also on environment setup, data migration strategy and validation.

8) Have in-depth understanding of design patterns, coding and customization languages, middleware and other IT principles and able to interface openly with other IT Architects on such matters.

9) Ability to assess existing technologies and tools, and all technical building blocks.

10) It is an advantage if having experience in a global company with IT, Engineering or Manufacturing and having interest and experience in implementing PLM.

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us. Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades. Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture. These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time. We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence. Role Overview We are looking for a highly motivated SDET 2 who is strong in development, analytical thinking, and passionate about quality with 3 – 6 years of experience This is an individual contributor role with end-to-end ownership of quality through automation, tooling, and effective testing practices, with a growth path towards an SDET Lead role.

Key Responsibilities:

● Own end-to-end quality for assigned features/modules

● Design, build, and maintain automation frameworks and regression suites

● Take full ownership of regression via automation and ensure stability ● Perform PR reviews with focus on quality, edge cases, and test coverage

● Execute and contribute to manual testing where required

● Identify gaps and build tools/solutions to improve quality and efficiency

● Perform root cause analysis (RCA) and drive preventive actions

● Collaborate with Dev, Product, and QA teams for better quality outcomes

Core Requirements:

Development & Technical

● Strong programming skills (Java / TypeScript / Python or any programing language)

● Ability to quickly learn and work on new technologies/stacks

● Hands-on experience in test automation (UI/API)

● Basic to intermediate experience with AWS (cloud services, debugging, logs)

● Claude code understanding is Good to Have. we will teach Ai perspective Testing & Analytical Skills

● Strong manual testing expertise

● Excellent analytical and problem-solving skills

● Ability to design effective test scenarios, edge cases, and validations ● Experience in owning regression suites via automation Quality Mindset

● Strong ownership of quality via automation and tooling

● Passionate and quality enthusiastic mindset

● Focus on automation-first and continuous improvement Nice to Have: ● Experience with CI/CD pipelines

● Exposure to microservices architecture

● Experience in performance or mobile testing

Here are answers to some questions you may have

Where is your office? Chennai (Velachery)

Work Model Work from Office – because great stories are built in person!

Do you have an online presence? https://amura.ai (we are @AmuraHealth on all social media)

For better insights: https://drive.google.com/file/d/11UHgXqYc7XSJ3IAdFyEm-EurgOzqsmzA/view?usp=sharing 

Company Description

Amura Health is a cloud-based platform designed to help individuals overcome lifestyle and chronic health conditions. Our approach combines cutting-edge medical expertise with Natural Molecule Therapy (NMT) protocols to reverse chronic diseases and promote optimal health. Powered by evidence-based science, we provide innovative solutions that empower individuals to achieve lasting wellness.

Role Overview

We’re looking for a seasoned Mobile App Lead who has built, deployed, and scaled mobile applications, ideally in high-growth HealthTech or B2C platform environments. This is a hands-on leadership role, deal for someone who blends deep technical expertise with product thinking, execution excellence, and a strong sense of ownership.

You’ll define the mobile architecture, lead end-to-end development, and ensure the app can handle millions of users, real-time health data, and secure transactions with high performance, reliability, and empathy for user experience.

Key Responsibilities:

1. Technical Leadership & Architecture

● Lead from the front — architect, design, and guide development of our mobile apps (Android/iOS or cross-platform).

● Define scalable, modular architectures and engineering standards.

● Oversee CI/CD pipelines, release automation, and environment configurations.

2. 0→1 Execution & Product Ownership:

● Translate business and clinical workflows into intuitive mobile experiences.

● Partner with product, design, and backend teams to take concepts from idea to launch.

● Iterate rapidly based on feedback and analytics to deliver meaningful outcomes.

3. Scalability, Reliability & Quality:

● Build for scale — apps capable of handling high concurrency, real time sync, and large transaction volumes.

● Own release management, QA automation, and feature-flag rollouts to ensure seamless, bug-free updates.

● Champion app performance optimization, load handling, and crash free experience.

4. Security, Privacy & Compliance:

● Implement privacy-first design; ensure compliance with data protection standards.

● Champion accessibility (WCAG) and inclusivity in design.

● Manage consent flows, secure data storage, and encryption.

5. Growth, Retention & Observability:

● Collaborate with product and analytics teams to design engagement features personalization, notifications, and retention loops.

● Implement observability tools for performance and stability tracking.

● Establish incident response playbooks and dashboards for proactive issue resolution.

6. Collaboration & Cross-Functional Alignment:

● Partner with backend and data teams to define optimized APIs, caching, and data flow for efficient app performance.

● Work closely with AI/ML teams on personalized insights, predictive health features, and smart engagement models.

● Enable continuous collaboration with design, QA, and product for cohesive outcomes.

7. Mentorship & Team Building:

● Build and mentor a high-performing mobile engineering team.

● Drive code reviews, knowledge-sharing, and innovation culture.

● Foster technical excellence and accountability across the team.

What We’re Looking For

● 7 to 14 years of experience in mobile development, with 5+ years in technical leadership or architect roles.

● Proven record of building and launching mobile apps from scratch (0→1) in high-growth startups or consumer tech.

● Expertise in React Native, with strong understanding of native app lifecycles and performance tuning.

● Experience integrating APIs, Bluetooth devices, wearables, chat/video SDKs, and health data standards (FHIR, HL7).

● Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD for mobile apps.

● Strong command over app security, data encryption, and secure communication protocols.

● Excellent leadership, communication, and problem-solving skills.

Here are answers to some questions you may have

Where is your office?

Chennai (Velachery)

Work Model

Work from Office – because great stories are built in person!

Do you have an online presence?

https://amura.ai (we are @AmuraHealth on all social media)

For better insights:

https://drive.google.com/file/d/11UHgXqYc7XSJ3IAdFyEm-EurgOzqsmzA/view?usp=sharing

Job description:

Position: AEM Automation Tester

Experience: 8+ Years

Location: Chennai / Bangalore / Hyderabad / Pune / Gurgaon

Employment Type: Contract – 1 Year

Joining Preference: Immediate Joiners Preferred

Role Overview

We are looking for an experienced AEM Automation Tester with strong expertise in automation testing frameworks, Adobe Experience Manager platforms, and digital experience validation. The ideal candidate should have hands-on experience testing AEM-based web applications, component functionality, workflows, APIs, and enterprise digital platforms.

The candidate will work closely with developers, QA teams, release managers, and business stakeholders to ensure high-quality releases across AEM environments.

Key Responsibilities

• Design, develop, and maintain automation test scripts for AEM applications
• Validate AEM components, templates, dialogs, workflows, and integrations
• Perform functional, regression, UI, and API testing
• Build scalable and reusable automation frameworks using Selenium and Java
• Execute automated test suites as part of CI/CD pipelines
• Validate APIs using Postman and REST Assured
• Perform cross-browser and responsive testing for digital experiences
• Analyze defects, log bugs, and coordinate issue resolution with development teams
• Participate in sprint planning, QA reviews, and Agile ceremonies
• Collaborate with release and DevOps teams for deployment validations
• Ensure quality standards for AEM Sites and customer-facing web applications

Ideal Candidate Profile

• Strong experience in enterprise QA automation projects
• Hands-on expertise testing AEM-based applications
• Good understanding of automation framework architecture
• Experience working in Agile delivery environments
• Strong debugging and analytical skills
• Ability to work with distributed teams and fast-paced releases

Role Overview

We are looking for a dynamic and result-oriented Business Development Executive to drive 

international and domestic sales through structured outreach, consultative selling, and 

value-based product demonstrations. The role involves lead generation, client engagement, 

online demos, and deal closure, with continuous collaboration with internal product and 

technical teams.

Key Responsibilities

• Conduct 30–60 inbound and outbound calls per day to prospects across domestic 

and international markets

• Generate qualified leads and schedule online meetings / product demonstrations

• Draft and send personalized sales emails and follow-ups based on client 

requirements

• Engage with decision-makers (Directors, Sales Heads, IT Heads, Commercial Teams) 

and close deals

• Create and deliver clear elevator pitches and product stories tailored to different 

markets

• Perform needs analysis and recommend suitable SANeForce solutions (SFA, CRM, eDetailing, Analytics, etc.)

• Maintain accurate records of leads, meetings, and pipeline updates in CRM

• Provide continuous market feedback to the product and technical teams on:

o Customer pain points

o Feature gaps

o Market-specific requirements

• Actively contribute to product roadmap discussions through collaborative decisionmaking

• Follow up consistently with prospects to move deals through the sales funnel

Required Skills

• Excellent communication and presentation skills

• Strong analytical and negotiation abilities

• Confidence in consultative and solution-based selling

• Ability to create compelling sales narratives and demos

• Strong follow-up discipline and closure mindset

• Comfortable selling to international markets via online meetings

Job description:

Job Title: RShiny Developer

Experience: 5–8 Years

Location: Chennai, Bangalore, Hyderabad, Pune, Gurgaon (Hybrid)

Employment Type: Contract

Role Overview

We are looking for an experienced RShiny Developer with strong expertise in R programming, data analytics, and interactive dashboard development. The role involves building scalable Shiny applications, working with large datasets, and delivering data-driven insights for business stakeholders.

Key Responsibilities

• Design and develop interactive web applications using RShiny and ShinyProxy
• Build data-driven dashboards and analytical models using R
• Perform data cleaning, transformation, and preprocessing for analysis
• Collaborate with data analysts, engineers, and business teams
• Apply statistical techniques and machine learning algorithms to derive insights
• Optimize R scripts and Shiny applications for performance and scalability
• Integrate applications with databases, APIs, and third-party tools
• Ensure code quality, version control, and documentation standards

Key Skills Required

• Strong expertise in R programming and RShiny
• Experience with packages like ggplot2, dplyr, tidyr
• Good understanding of statistical analysis and data modeling
• Hands-on experience with SQL and relational databases
• Knowledge of ShinyProxy deployment
• Experience with data visualization and dashboarding
• Understanding of HTML, CSS, JavaScript for UI enhancements
• Exposure to Hadoop/Spark is a plus
• Experience with Git/version control
• Knowledge of Python/Java is an added advantage

Educational Qualification

• BE/BTech/MTech in Computer Science, Statistics, or related field

Key Responsibilities

• Test Scripting: Write, maintain, and execute automated test scripts for UI applications and API endpoints.
• Execute & Monitor: Run regression test suites, analyze results, and update existing automation frameworks.
• Defect Tracking: Document, log, and track software bugs through to resolution using tools like Jira.
• Collaborate: Work closely with senior engineers and developers to understand system architecture and warehouse flows.
• Manual to Automation: Review manual test cases and convert them into efficient automated scripts.

Required Skills and Qualifications

• Automation Tools: Hands-on experience with Selenium, Playwright, or Cucumber, Github/Jenkins.
• Programming Languages: Foundational coding skills in Java, Python, or JavaScript/TypeScript.
• API Testing: Basic experience testing APIs using tools like Postman or programmatic libraries.
• Testing Basics: Good understanding of software QA methodologies, tools, and processes.
• Eager to Learn: Strong desire to learn complex supply chain workflows and advanced automation techniques.

Preferred Qualifications (Added Advantage)

• Domain Expertise: Prior exposure to Supply Chain, Logistics, or Third-Party Logistics (3PL).
• WMS & OMS Experience: Familiarity with WMS platforms (e.g., Manhattan, Blue Yonder, Korber) and Order Management Systems.
• EDI & Protocols: Exposure to EDI transaction sets (e.g., 850, 856, 940, 945).
• Inventory Workflows: Solid understanding of core warehouse operations like receiving, picking, packing, and shipping.

• Design, develop, and maintain integration solutions using MuleSoft Anypoint Platform.
• Create and manage APIs using RAML specifications, including designing, documenting, and versioning APIs.
• Develop APIs following API-led connectivity (System, Process, Experience layers).
• Use MuleSoft APIs effectively for orchestration of business workflows and integrations.
• Deploy and manage Mule applications in CloudHub and Runtime Fabric environments.
• Implement integrations using MuleSoft connectors such as HTTP, Database, JMS, Salesforce, and SAP.
• Design and implement message routing using:

Choice routers

Scatter-Gather

• Work with messaging patterns such as:

Request-reply

Publish-subscribe

Content-based routing

• Integrate with messaging systems such as Kafka / Google Pub/Sub, ensuring:

Asynchronous processing

Retry mechanisms

Idempotent message handling

• Reliable event-driven communication
• Implement robust error handling strategies in MuleSoft, including global error handlers and custom error handling flows.
• Design resilient systems using:

Retry strategies

Circuit breakers

• Maintain API versions using URI versioning or header-based versioning, manage lifecycle through API Manager, and ensure backward compatibility.
• Implement strong logging and monitoring strategies for observability and troubleshooting.
• Apply security best practices including OAuth2, JWT, TLS, and API policies.
• Write and maintain MUnit test cases to ensure code quality and reliability.
• Use Git for source control and work with CI/CD tools such as Jenkins or GitHub Actions for:
• Troubleshoot, debug, and optimize MuleSoft applications and integrations.
• Collaborate with cross-functional teams including backend, frontend, and DevOps.
• Participate in code reviews, design discussions, and architecture decisions.
• Ensure high performance, scalability, and reliability of integration solutions.

Mandatory Skills

• Strong experience with MuleSoft Anypoint Platform
• Hands-on experience in RAML design and API development
• Experience deploying APIs in CloudHub and/or Runtime Fabric
• Knowledge of Docker and Kubernetes
• Strong understanding of API security (OAuth2, JWT, TLS, API policies)
• Experience with MuleSoft connectors (HTTP, DB, JMS, Salesforce, SAP)
• Knowledge of integration patterns, message routing, and event-driven architecture
• Experience with Kafka / Google Pub/Sub or similar messaging systems
• Strong understanding of error handling, retries, DLQ, and idempotency patterns
• Hands-on experience with MUnit testing

Experience implementing logging and monitoring strategies

Greetings from zealous services!

Job Description

We are looking for a talented and creative 3D Visualizer to join our growing team in Chennai. The ideal candidate should have strong experience in architectural visualization, 3D modeling, rendering, and drafting with excellent attention to detail.

• Job Title: 3D Visualizer
• Experience: 2 to 5 Years
• Location: Chennai
• Shift: Rotational Shifts
• Employment Type: Full-Time

Key Responsibilities

• Create high-quality 3D models, renders, and visual presentations for architectural and interior projects
• Develop realistic lighting, texturing, and rendering outputs
• Prepare detailed drawings and layouts using CAD software
• Work closely with design and project teams to understand project requirements
• Modify and improve designs based on client or management feedback
• Ensure timely delivery of projects with high visual quality standards
• Maintain consistency in design aesthetics and technical accuracy

Required Skills

• Strong knowledge of: 3DS Max, Revit, AutoCAD / CAD
• Good understanding of modeling, texturing, lighting, and rendering
• Ability to handle multiple projects and meet deadlines
• Strong visualization and creative skills
• Good communication and teamwork abilities

Preferred Candidate

• Candidates with experience in architectural visualization projects
• Flexible to work in rotational shifts
• Immediate joiners are preferred

Why Join Us?

• Opportunity to work on international projects
• Professional and growth-oriented work environment
• Career development opportunities
• Exposure to latest visualization technologies

Location: Chennai

Experience: 0–2 Years

Employment Type: Full-Time

Role Overview

We are looking for a motivated and detail-oriented Junior Sales Analyst to support our sales team in improving lead conversion and revenue growth. This role is ideal for freshers or early-career professionals who are interested in data analysis, sales operations, and business growth in the IT services (MSP/MSSP/GRC) domain.

Key Responsibilities

Sales Data & Reporting

• Assist in collecting and analyzing sales data from CRM and email interactions
• Prepare weekly reports on leads, follow-ups, and potential deals
• Track basic metrics such as lead status, response rates, and conversions

Lead Tracking & Follow-ups

• Monitor incoming leads and email conversations (Outlook-based)
• Identify interested prospects based on responses and engagement
• Support the sales team with follow-up reminders and tracking

Sales Support & Insights

• Help identify patterns in customer interest and inquiries
• Provide simple insights to improve email outreach and proposal effectiveness
• Assist in maintaining and updating sales pipeline data

Process & Automation Support

• Support basic report automation using Excel, Power Automate (training can be provided)
• Ensure data accuracy and consistency in CRM and reports

Collaboration

• Work closely with Sales and Marketing teams
• Assist in preparing simple dashboards or summaries for management

Required Skills & Qualifications

Basic Skills

• Strong knowledge of Excel (filters, basic formulas, reports)
• Good communication skills (written & verbal)
• Basic understanding of business/sales concepts

Analytical Ability

• Ability to interpret data and identify simple trends
• Attention to detail and willingness to learn

Soft Skills

• Proactive mindset and eagerness to grow
• Organized and able to manage multiple tasks
• Team player with good coordination skills

Preferred (Nice to Have)

• Exposure to CRM tools (Zoho, HubSpot, Dynamics, etc.)
• Basic knowledge of IT services / MSP / cybersecurity domain
• Familiarity with Power BI or reporting tools

Key Performance Indicators (KPIs)

• Accuracy and timeliness of weekly sales reports
• Number of qualified leads identified
• Improvement in follow-up efficiency
• Contribution to pipeline visibility and tracking

Geotrackers, are pioneers in the Fleet Telematics industry, providing top-notch GPS devices & solutions to Logistic firms. We're  hiring self motivated, result oriented professionals, with a flair for technology and loads of self-confidence, for the role of Business Development Manager .

Job description

KRAs :

• Own , manage & drive corporate sales activities for the entire region, focusing on B2B sales, business development and solution selling.
• Develop and execute strategies to increase revenue growth through fleet management solutions.
• Collaborate with cross-functional teams to identify new business opportunities and expand existing relationships.
• Provide exceptional customer service by understanding client needs and delivering tailored solutions.
• Analyze market trends and competitor activity to stay ahead in the competitive IT landscape.
• Customer consultation for requirement gathering and product feature mapping
• To deliver product presentation
• Persuasion & Influencing customer decisions
• Negotiation and Sales Closure.
• Customer Relationship Management
• To provide technical consultation, training & ongoing Support
• Ideas and strategies to drive consistent sales performance
• Set up strong customer engagement programs that lead to deeper customer satisfaction, strengthening of customer ties, and effective farming of customer referrals

CANDIDATE PROFILE

Key Skills

• B. Tech + MBA
• Tech Savvy
• Experience in Corporate Sales, B2B Sales, Lead Generation

Soft Skills

• Passion for Sales
• Good communicator
• Sharp thinker
• A keen observer of market conditions
• Positive can-do attitude
• Self-confident
• Resourceful and independent worker, result oriented
• Intelligent, enthusiastic, and self-motivated

Byteridge is seeking a Rapid Prototyping Engineer specializing in AI Infrastructure & Optimization to work with our most strategic customers on deploying, fine-tuning, and optimizing large language models at scale. You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in computer science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)

• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

·       Develop and maintain responsive, high-performance UIs using React.js, Angular, or Vue.js.

·       Integrate front-end applications with GCP backend services (Cloud Run, Cloud Functions, App Engine APIs).

·       Collaborate with the GCP Architect and back-end developers to align UI design with overall system architecture.

·       Implement real-time dashboards and data visualization pulling from AlloyDB, Cloud Spanner, or Cloud SQL.

·       Optimize UI performance for scalability, accessibility, and responsiveness.

·       Deploy front-end applications using Gemini Code Assist, CLI, and Git-based CI/CD pipelines.

·       Implement authentication and authorization workflows leveraging GCP Identity Platform / IAM.

·       Collaborate with UX designers to create intuitive, business-friendly experiences for logistics operators and clients.

·       Explore and integrate AI-powered front-end features (recommendation widgets, chatbot interfaces, predictive UI components).

·       Conduct code reviews and maintain front-end coding standards.

Experience & Qualifications

·       6–8 years of front-end development experience, with at least 3+ years in senior/lead analyst roles.

·       Strong expertise in JavaScript/TypeScript and one or more frameworks: React.js, Angular, Vue.js.

·       Experience integrating front-end with GCP-hosted microservices and APIs.

·       Familiarity with Cloud Run, Cloud Functions, and App Engine.

·       Experience deploying front-end apps via Gemini Code Assist and CLI.

·       Working knowledge of Git-based CI/CD pipelines.

·       Ability to consume and visualize data from GCP databases (AlloyDB, Cloud Spanner, Cloud SQL).

·       Understanding of AI-driven UI/UX enhancements.

·       Strong problem-solving skills and the ability to work in a distributed/global team.

Position

We are seeking an experienced SAP PS Consultant with expertise in CPM/EPPM (Commercial Project Management). The ideal candidate will have strong hands-on experience with the SAP Project System (PS) module and a deep understanding of CPM/EPPM functionalities within SAP. The consultant will be responsible for implementing, configuring, and supporting SAP PS solutions, specifically focusing on CPM/EPPM integration to support project management, financials, and operational processes.

Key Responsibilities

• Implement SAP PS Solutions: Lead and support the implementation of SAP Project System (PS) solutions, focusing on CPM/EPPM (Commercial Project Management), to ensure alignment with business processes and objectives.
• CPM Configuration & Customization: Configure and customize the SAP PS module and CPM functionality to meet business requirements, including project structures, cost tracking, budgeting, and billing processes.
• Integrate CPM with Other Modules: Work on the integration of CPM with SAP FI, CO, MM, SD, and other relevant modules, ensuring a seamless flow of data across systems for accurate project accounting and management.
• Project Planning & Execution: Support the planning, execution, and monitoring of projects within the SAP PS module, ensuring that CPM/EPPM processes such as project scheduling, resource management, and cost monitoring are handled efficiently.
• Data Migration & Conversion: Oversee data migration activities from legacy systems to SAP, ensuring correct data mapping, transformation, and validation for project data within SAP PS and CPM/EPPM.
• User Training & Documentation: Develop training materials and conduct training sessions for end-users on the SAP PS and CPM/EPPM functionalities.
• Provide comprehensive documentation of configurations and processes
• Testing & Quality Assurance: Perform unit testing, integration testing, and post-implementation support to ensure data integrity and the smooth functioning of SAP PS and CPM/EPPM processes.
• Post-Implementation Support: Provide ongoing support during EEthe hypercare phase and beyond, troubleshooting issues and ensuring proper maintenance and optimization of SAP PS and CPM/EPPM solutions.
• Collaboration with Stakeholders: Work closely with business stakeholders, project managers, and technical teams to ensure that the SAP PS and CPM/EPPM solutions align with business objectives and are efficiently executed
• Troubleshoot migration issues and provide timely resolutions.
• Support end users during testing and post-go-live phases.
• Strive to be aware of processes and procedures to fulfil and adhere to requirements as required under the ISO 9001, 14001, 45001 and 27001.
• Responsibility for reporting, monitoring measurement, nonconformity and corrective action with regards to ISO 9001, 14001, 45001 and 27001.
• Required Skills & Experience
• Expertise in SAP PS & CPM: Proven experience in implementing, configuring, and supporting the SAP Project System (PS) module with a focus on Commercial Project Management (CPM) processes.
• CPM Mandate: Strong hands-on experience with CPM functionalities within SAP, including commercial project planning, execution, cost management, billing, and revenue recognition.
• SAP Module Integration: Experience integrating SAP PS with other SAP modules like SAP FI, CO, MM, SD, and other relevant systems for end-to-end project management.
• Project Management Knowledge: Strong understanding of project lifecycl management, budgeting, forecasting, and reporting within the SAP environment.
• Data Migration Expertise: Experience with data migration activities, particularly in the context of SAP PS and CPM, ensuring data integrity and proper system configuration.
• Analytical & Problem-Solving Skills: Excellent problem-solving and analytical skills to identify issues in the project management lifecycle and implement corrective measures.
• Communication Skills: Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders, ensuring project objectives are met.

Preferred Qualifications

Industry Experience: Experience in industries such as construction, engineering, manufacturing, or any other industry utilizing complex project management processes is preferred.

Certification: Relevant certifications in SAP PS and CPM are a plus.

Experience in SAP S/4HANA: Experience with SAP S/4HANA and its

integration with PS/CPM functionalities is a plus.

Job Description:

We are looking for an experienced SAP SuccessFactors Consultant with strong functional and implementation expertise across SAP SuccessFactors modules. The ideal candidate will have hands-on experience in end-to-end implementations, integrations, and support projects, working closely with business stakeholders to deliver scalable and compliant HR solutions.

Roles & Responsibilities

Lead and support design, configuration, and implementation of SAP SuccessFactors solutions.

Work on end-to-end SuccessFactors implementations, rollouts, and support engagements.

Configure and support key SuccessFactors modules such as Employee Central,

Recruitment, Onboarding, Performance & Goals, Compensation, Learning, and

Succession (based on project needs).

Collaborate with business stakeholders to gather, analyze, and translate HR requirements into system solutions.

Support integration of SuccessFactors with SAP S/4HANA, ECC, and third-party systems using standard integration tools.

Manage data migration activities, including data validation and reconciliation.

Provide system testing support, including unit testing, UAT, and defect resolution.

Deliver end-user training, documentation, and post-go-live support.

Act as a customer-facing consultant, ensuring high-quality delivery and client satisfaction.

Ensure adherence to organizational processes, data security, and compliance standards.

Assist in reporting, monitoring, non-conformity management, and corrective actions related to ISO standards.

Qualification

Minimum of 6 years of overall experience in SAP SuccessFactors consulting and implementations.

Hands-on experience in at least one full-cycle SAP SuccessFactors implementation, with exposure to rollouts and support projects.

Strong functional expertise in one or more SuccessFactors modules (Employee Central mandatory; others preferred).

Experience with SuccessFactors integrations, including SAP standard integrations and third-party systems.

Solid understanding of HCM business processes, HR data models, and best practices.

Experience in data migration, system configuration, and testing activities.

Ability to work in Agile or hybrid project delivery models.

Strong analytical, problem-solving, and solution-design capabilities.

Excellent communication and stakeholder-management skills.

Ability to work independently as well as in a collaborative team environment.

Desirable / Nice to Have:

SAP SuccessFactors certification(s) in Employee Central or other modules.

Experience working in a consulting environment.

Work Schedule: 4 days work from office with rotational shifts, including night shifts as per business requirements.

Required Skills:

• Bachelor’s degree in Computer Science or similar field or equivalent work experience
• 3+ years of experience on Data Warehousing, Data Engineering or Data Integration projects
• Expert with data warehousing concepts, strategies, and tools
• Strong SQL background
• Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL
• Strong experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function and GCS
• Good to have knowledge on SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS)
• Good to have a Mainframe skillset
• Experience in Informatica Power exchange for Mainframe, Salesforce, and other new-age data sources
• Experience in integration using APIs, XML, JSONs etc.
• In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework, data-warehousing and Data Lakes
• Good understanding of SDLC, Agile and Scrum processes
• Strong problem-solving, multi-tasking, and organizational skills
• Highly proficient in working with large volumes of business data and strong understanding of database design and implementation
• Good written and verbal communication skills
• Demonstrated experience of leading a team spread across multiple locations

Roles & Responsibilities:

• Work with business users and other stakeholders to understand business processes
• Ability to design and implement Dimensional and Fact tables
• Identify and implement data transformation/cleansing requirements
• Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse
• Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions
• Design, develop and maintain ETL workflows and mappings using the appropriate data load technique
• Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions
• Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use
• Analyze and resolve problems and provide technical assistance as necessary
• Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality
• Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions
• Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting & analytics
• Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions
• Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements
• Train business end-users, IT analysts, and developers

Key Responsibilities

Architect and implement enterprise-grade Lakehouse solutions using Databricks

Design and deliver scalable batch and real-time data pipelines using Apache Spark (PySpark/SQL)

Build ETL/ELT pipelines, incremental data loads, and metadata-driven ingestion frameworks

Implement and optimize Databricks components: Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, and Workflows

Design large-scale data warehousing solutions with 3NF and dimensional modeling

Establish data governance, security, and data quality frameworks, including Unity Catalog

Lead ML lifecycle management using MLflow and drive AI use cases (RAG, AI/BI)

Manage cloud-native deployments on Microsoft Azure and integrate with enterprise systems (e.g., ServiceNow)

Drive CI/CD, DevOps practices, and performance optimization of Spark workloads

Provide technical leadership, mentor teams, and ensure successful delivery

Collaborate with stakeholders to translate business requirements into scalable solutions

Required Skills & Experience

10+ years in Data Engineering / Analytics / AI with strong delivery ownership

Deep expertise in Databricks ecosystem (Notebooks, Delta Lake, Workflows, AI/BI, Apps, Genie)

Strong hands-on experience with: 

Apache Spark (performance tuning & scalability)

Python and SQL

Proven experience in: 

Solution architecture and large-scale data platforms

Data warehousing and advanced data modeling

Batch and real-time processing systems

Experience with: 

Azure Databricks and Azure data services

ML flow and MLOps practices

ServiceNow or enterprise integrations

Exposure to AI technologies (RAG, LLM-based solutions)

Strong stakeholder management and leadership skills

Certifications (Preferred)

Databricks certifications aligned to data engineering and AI tracks, such as: 

Databricks Certified Data Engineer Associate (validates foundational ETL, Spark, and Lakehouse capabilities)

Databricks Certified Data Engineer Professional (advanced expertise in pipeline design, optimization, and governance)

Certifications in Databricks Machine Learning or Generative AI tracks (e.g., ML Associate / Professional) for AI-driven use cases

Relevant cloud certifications in Microsoft Azure or Amazon Web Services for platform deployment and architecture

We are looking for a highly skilled AI Engineer / AI Architect to design, develop, and deploy scalable AI solutions. The ideal candidate will have strong expertise in building the Enterprise Generative AI solution along with the ability to architect end-to-end AI systems aligned with business objectives. 

Key Responsibilities

Design and implement end-to-end AI/Gen AI solutions. 

Architect scalable and secure AI systems using cloud platforms. 

Work on Generative AI use cases including LLMs, RAG, Workflow, Agentic AI, prompt

engineering, LLM-as-Judge, and fine-tuning. 

Collaborate with cross-functional teams and customer to translate business requirements into AI solutions. 

Should have knowledge and worked in SDLC process and understand DevOps

practices/workflows. 

Stay updated with emerging AI trends and evaluate new tools/technologies. 

Mentor junior engineers and guide best practices in AI development. 

Required Skills

Strong proficiency in Python and AI/ML Tools like Google ADK/Langgraph/Langchain, etc.., Should have experience in configuring the LLM in AWS Bedrock/Azure Foundry/Databricks and

configure the LLMOPS and production grade AI System. 

Hands-on experience with Generative AI (LLMs, embedding, prompt engineering). 

Understands the Agile process and involve in technical scoping and estimations

Strong problem-solving and analytical skills. 

Experience working on production-grade AI systems. 

Nice to Have

Certifications in Gen AI/AI/ML in Azure/Databricks platforms. 

Should have some foundational knowledge with Azure Cloud

Experience in handling an enterprise custom and enterprise AI solutions is a added advantage.

Job Title: RDK-B/ RDK-V Developer

Experience: 3-8 Years

Work Location: Chennai / Bangalore

Work Type: Work from Office

Job Summary

We are looking for experienced RDK-B/ RDK-V Developers to design, develop, and maintain embedded software for Set-Top Box (STB) platforms using C and Linux. The role involves working with

multimedia streaming, device drivers, system integration, and ensuring compliance with video standards. The ideal candidate should have strong hands-on experience in RDK platforms, Linux

system programming, and debugging tools.

Key Responsibilities

Design and develop embedded software for STB platforms using C and Linux.

Work with RDK-B / RDK-V (Reference Design Kit for Video) and GStreamer for multimedia streaming.

Develop and integrate device drivers using Yocto build system.

Collaborate with SoC vendors to resolve hardware/software integration issues.

Implement and optimize video streaming protocols and subsystems (e.g., V4L2, HDMI, Bluetooth).

Perform debugging using GDB and other Linux tools.

Ensure compliance with video standards such as MPEG, ATSC, and DVR.

Participate in Agile development processes and contribute to sprint planning and reviews.

Document software architecture, design decisions, and test results.

Required Skills & Qualifications

3 to 8 years of hands-on RDK-B/ RDK-V development experience.

Strong in C/C++, Linux system programming, IPC, memory and process management.

Good understanding of TR-181, WebPA, TR-069 basics, and networking fundamentals (DHCP, DNS, NAT, Firewall, IPv4/IPv6).

Experience with Git, Gerrit, Jenkins, debugging tools (GDB, Valgrind, strace).

Good understanding of networking layers (L1-L3).

Preferred Skills

Experience in multimedia frameworks and streaming protocols.

Knowledge of Yocto, build systems, and cross-compilation.

Familiarity with Agile tools and practices.

Education

• Bachelor's degree in Computer Science, Electronics, or related field.

Additional Requirements

Strong analytical, problem-solving, and communication skills.

About koolio.ai

Website: www.koolio.ai

koolio Inc. is a cutting-edge Silicon Valley startup dedicated to transforming how stories are told through audio. Our mission is to democratize audio content creation by empowering individuals and businesses to effortlessly produce high-quality, professional-grade content. Leveraging AI and intuitive web-based tools, koolio.ai enables creators to craft, edit, and distribute audio content—from storytelling to educational materials, brand marketing, and beyond—easily. We are passionate about helping people and organizations share their voices, fostering creativity, collaboration, and engaging storytelling for a wide range of use cases.

About the Full-Time Position

We are looking for a Junior Frontend Engineer to join our fast-growing team on a full-time, hybrid basis. You will be a key contributor in enhancing the user interface of koolio.ai’s AI-powered platform, driving innovation and excellence in audio content creation. You will collaborate closely with senior developers and designers to deliver high-performance, user-friendly web applications that delight our customers.

Key Responsibilities:

• Collaborate with the product and design teams to develop and implement user-friendly web interfaces
• Write clean, efficient, and reusable code using modern frontend technologies
• Ensure responsive design and optimize web pages for performance and scalability across devices
• Debug and resolve issues, improving the overall user experience on the platform
• Assist in integrating APIs and frontend services with the backend
• Stay up-to-date with the latest trends in frontend development and suggest improvements to enhance the platform’s functionality

Requirements and Skills:

• Education: Degree in Computer Science or a related field
• Work Experience: Minimum of 1-2 years of proven experience as a Front-end Engineer or similar role with a focus on user interface development
• Technical Skills:
• Strong proficiency in JavaScript frameworks like ReactJS or Redux
• Proficiency in frontend languages such as HTML, CSS, and JavaScript (ES6+)
• Experience with CSS frameworks (e.g., Bootstrap or Tailwind CSS) for responsive design
• Basic understanding of REST APIs and integration with frontend applications
• Knowledge of version control systems (e.g., Git) and best practices in code management
• Soft Skills:
• Strong attention to detail and a focus on delivering high-quality work
• Ability to work effectively in a remote, collaborative environment with distributed teams
• Willingness to learn new technologies and adapt to a fast-paced startup environment
• Excellent communication and time-management skills, with the ability to manage multiple tasks simultaneously
• Other Skills: 
• Familiarity with Figma or other design tools is a plus. 
• Understanding of SEO principles and how frontend development impacts web performance

Compensation and Benefits:

• Total Yearly Compensation: ₹8-12 LPA based on skills and experience
• Health Insurance: Comprehensive health coverage provided by the company
• ESOPs: An opportunity for wealth creation and to grow alongside a fantastic team

Why Join Us?

• Be a part of a passionate and visionary team at the forefront of audio content creation
• Work on an exciting, evolving product that is reshaping the way audio content is created and consumed
• Thrive in a fast-moving, self-learning startup environment that values innovation, adaptability, and continuous improvement
• Enjoy the flexibility of a full-time hybrid position with opportunities to grow professionally and expand your skills
• Collaborate with talented professionals from around the world, contributing to a product that has a real-world impact

About koolio.ai

Website: www.koolio.ai

koolio Inc. is a cutting-edge Silicon Valley startup dedicated to transforming how stories are told through audio. Our mission is to democratize audio content creation by empowering individuals and businesses to effortlessly produce high-quality, professional-grade content. Leveraging AI and intuitive web-based tools, koolio.ai enables creators to craft, edit, and distribute audio content—from storytelling to educational materials, brand marketing, and beyond—easily. We are passionate about helping people and organizations share their voices, fostering creativity, collaboration, and engaging storytelling for a wide range of use cases.

About the Full-Time Position

We are seeking a Junior Backend Engineer (Fresher) to join our team on a full-time, hybrid basis. This role is ideal for motivated recent graduates eager to gain hands-on experience in backend development. Working closely with senior engineers, you’ll play a vital role in enhancing koolio.ai’s backend infrastructure, focusing on building, maintaining, and optimizing server-side applications and APIs. This is a unique opportunity to grow within an innovative environment that values creativity and technical excellence.

Key Responsibilities:

• Assist in developing and maintaining backend services and APIs, ensuring stability, scalability, and performance
• Collaborate with the frontend and QA teams to ensure seamless integration of backend systems with user-facing features
• Help troubleshoot and resolve backend issues, working alongside senior developers to enhance system reliability
• Participate in code reviews, learning best practices and contributing to maintaining high code quality standards
• Support in monitoring and improving backend performance metrics
• Document processes, code, and system architecture under guidance to ensure comprehensive, up-to-date technical resources

Requirements and Skills:

• Education: Degree in Computer Science or a related field
• Work Experience: No prior work experience required; internships or academic projects related to backend development are a plus
• Technical Skills:
• Basic understanding of backend systems and APIs
• Working experience in Python
• Familiarity with basic version control systems like Git
• Knowledge of databases (e.g., MySQL, MongoDB) and basic proficiency in SQL
• Understanding of cloud platforms or services like Google Cloud is an advantage
• Soft Skills:
• Eagerness to learn and apply new technologies in a fast-paced environment
• Strong analytical and problem-solving skills
• Excellent attention to detail and a proactive mindset
• Ability to communicate effectively and work in a collaborative, remote team
• Other Skills: 
• Familiarity with basic DevOps practices or interest in learning is beneficial

Compensation and Benefits:

• Total Yearly Compensation: ₹4.5-6 LPA based on skills and experience
• Health Insurance: Comprehensive health coverage provided by the company

Why Join Us?

• Be a part of a passionate and visionary team at the forefront of audio content creation
• Work on an exciting, evolving product that is reshaping the way audio content is created and consumed
• Thrive in a fast-moving, self-learning startup environment that values innovation, adaptability, and continuous improvement
• Enjoy the flexibility of a full-time hybrid position with opportunities to grow professionally and expand your skills
• Collaborate with talented professionals from around the world, contributing to a product that has a real-world impact

Data Engineer at Amura

Amura’s Vision

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us. Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.

Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture. These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence.

Role Overview

We are looking for a hands-on Data Engineer to design, build, and maintain scalable data pipelines and data platforms. You will work on ingesting, transforming, and serving data reliably for analytics, reporting, and downstream applications, collaborating closely with backend engineers, analysts, and data scientists. This role is ideal for someone who enjoys building robust data systems, working with large datasets, and writing clean, production-grade code.

Key Responsibilities

Data Pipelines & Development

• Build and maintain reliable ETL/ELT pipelines for batch and near-real-time data processing.
• Ingest data from multiple sources (databases, APIs, event streams, files).
• Transform raw data into clean, analytics-ready datasets.
• Optimize pipelines for performance, scalability, and cost.

Data Storage & Modeling

• Design and manage data models in data warehouses or data lakes.
• Work with SQL and NoSQL databases and modern data warehouses.
• Implement partitioning, indexing, and efficient query patterns.
• Maintain documentation for schemas, pipelines, and transformations.

Cloud & Tooling

• Build data solutions on cloud platforms (AWS preferred).
• Use services such as S3, Redshift, Athena, Glue, EMR, Lambda, Kinesis, or equivalents.
• Work with orchestration tools like Airflow or similar schedulers.
• Use version control, CI/CD, and Infrastructure-as-Code where applicable.

Data Quality & Reliability

• Implement data validation, monitoring, and alerting for pipelines.
• Troubleshoot data issues and ensure pipeline reliability.
• Collaborate with stakeholders to resolve data discrepancies.

Collaboration

• Partner with analytics, product, and engineering teams to understand data needs.
• Support analysts and data scientists with clean, accessible datasets.
• Participate in code reviews and contribute to data engineering best practices.

What We’re Looking For

• Experience: 4-6+ years of experience as a Data Engineer / Data Developer.
• Programming: Strong programming skills in Python.
• Databases: Excellent knowledge of SQL and relational data modeling.
• Pipelines: Experience building ETL/ELT pipelines in production.
• Cloud: Hands-on experience with cloud-based data platforms (AWS preferred).
• Concepts: Understanding of data warehousing concepts and best practices.

Nice to Have:

• Experience with Spark, Kafka, dbt, or Flink.
• Familiarity with orchestration tools like Airflow.
• Experience with streaming or event-driven data pipelines.
• Exposure to data quality or observability tools.
• Experience working with large-scale or high-volume datasets.

Additional Information

• Office Location: Chennai (Velachery).
• Work Model: Work from Office - because great stories are built in person!.
• Online Presence: https://amura.ai (@AmuraHealth on all social media).

🚀 Immediate Hiring | Teamcenter  AWC ( active work space) Developer | PAN INDIA (Hybrid)

 Dear Candidate,

 Greetings from QntmLogic!

 We are currently hiring for an exciting opportunity with our client Tech Mahindra.

Kindly acknowledge your expected salary   LPA (Fixed) Including PF.

Unfortunately, we are unable to move beyond this.

I would highly appreciate your thoughts on the same.

We need your updated profile with clearly mentioned skills and project timelines, as we want to avoid any profile-level rejections. 

Tech Mahindra – Teamcenter AWC ( active work space) Developer:

Tech Mahindra – PLM – Teamcenter /Developer – India

Location: Chennai, Bangalore, Hyderabad, Pune

Qualification:

• Bachelor’s degree in Engineering, Computer Science, Information Technology or a related technical field of study.

Responsibilities:

• Participate with Solution architects in advising and proposing Teamcenter PLM solutions, which guide and align with customer's vision.
• Leverage implementation best practices and templates for Siemens PLM Teamcenter implementation
• Lead development activities, including analysis, design, solution validation and any required prototyping, with the customer to verify if the best in class template solution applies to their environment to deliver value to their business.
• Support project management activities to control scope, cost, schedule and quality
• Communicate implementation processes, and progress to support customer expectations and adoption.

Required Knowledge/Skills:

• 5 – 10 years experience in PLM - Siemens Teamcenter UA, with strong ITK Customization, Requirements Gathering, Solution Design, Functional and implementation knowledge, coordination with offshore development teams and Customer Management skills.
• Strong AWC ( active work space) customizations
• Change Processes, Workflows, Integration with CAD/ERP/Enterprise Application.
• Experience in development of assets - PoCs, POV’s and Solutions
• Must be a self-starter with effective analytical, excellent communication skills
• Knowledge of delivery framework and methodologies for an IT Services organization. Experience in leading & mentoring team members throughout the phases of PLM implementation projects including definition, installation, configuration, testing, deployment and post-production support.
• Experience with Software Development Lifecycles (SDLC) best practices.
• Must be a self-starter with effective analytical, excellent communication skills and experience in a customer-facing role.

📍 Work Location: Chennai, Bangalore, Hyderabad, Pune

🕒 Interview Mode: Telephonic / Video / Face-to-Face

🛂 Background Verification: Before / After Onboarding (BGV Vendor)

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Java and Spring Boot.
• Develop and maintain RESTful APIs following best practices.
• Implement API versioning strategies to support backward compatibility.
• Create and maintain API documentation using Swagger/OpenAPI.
• Implement Spring Transaction Management to ensure data integrity
• Use Spring Data JPA for database interactions and ORM mapping
• Write efficient SQL queries and optimize database performance
• Implement CQRS (Command Query Responsibility Segregation) where applicable.
• Develop systems based on event-driven architecture patterns.
• Write unit tests using JUnit and Mockito.
• Build and manage projects using Maven or Gradle build scripts.
• Use AI coding assistants such as Gemini Code Assist or similar tools to improve development efficiency.
• Participate in code reviews, design discussions, and architecture decisions.
• Collaborate with frontend teams, DevOps engineers, and product stakeholders.
• Strong problem-solving and debugging abilities
• Ability to design highly scalable backend systems
• Experience working in Agile/Scrum environments
• Good communication and collaboration skills
• Strong code quality and clean architecture mindset

Optional / Good to Have Skills

• Experience with Docker
• Knowledge of Kubernetes
• Experience with GraphQL API development
• Experience with cloud platforms (GCP / AWS / Azure)

Candidates from Supply Chain , Retail preferred

Cyces Innovation Labs LLP is looking for a skilled Mobile Application Developer - React Native to join our team. In this role, you’ll be responsible for developing high-quality, reusable code and ensure best practices are followed. You will work closely with the product management team to deliver new features and enhancements, translating UI/UX designs into pixel-perfect, and responsive mobile interfaces. You'll also collaborate within an Agile team, and integrate with REST APIs, and stay up to date with new technologies to improve development efficiency.

Responsibilities 

• Produce high quality, re-usable code, and ensure best practices are followed by the team 
• Take ownership of technical architecture, coding, and development standards 
• Create new and enhance existing features and code according to requirements
• Work closely with the product management team to produce accurate estimates and clarification
• Develop UI/UX designs into pixel-perfect, responsive user interfaces.
• Continuously discovering, evaluating, and implementing new technologies to maximize development efficiency. 

Qualifications 

• Bachelor’s degree in Computer Science / Information Technology /Software Engineering, or a related field
• Strong understanding of mobile app architecture and design patterns
• Knowledge of UI/UX implementation for mobile apps
• Understanding with responsive mobile design
• Strong problem-solving and debugging skills
• Excellent collaboration and communication skills
• Ability to manage time effectively in an Agile environment

EXP: 5+yrs

Skill: Enovia Developer

JD:Exploring and Providing Technical, Functional and Process related support to the team.

•           Interacted with Customers on their requirements and Business clarifications/Tickets.

•           Experience in scripts in TCL for Bulk Data creations/changes/various Report generations and Cron Job setups.

•           Data Load of various divisions with file upload done to existing objects in eFCS Server.

•           Worked on eFCS Server migration.

•           Worked on NUP creation of new RDO.

•           Worked on ECO ERP integration issues.

•           User Deactivation Script for inactivating Users who leave the company

•           To generate TCL reports for various kinds of user request.

•           Worked on Document Search integration testing and related issues.

•           Expertise in using the Autodesk Inventor Professional 2024 and Autodesk Vault Professional 2024 integration tool with Enovia and worked on upgrade of PVC testing 2021 – 2024.

•           Worked on the servers to start/stop JVM ‘s, find the process Id and then kill the process using the process id and start the server, collection of logs.

•           Worked on users machine to update the compatibility browser setting that helps resolve the file upload/download issue.

•           Worked in OOTB Fix Pack Upgrade Schema changes.

•           Compared the schema changes between 13x and 21x upgrade.

•           Worked on Bookmarks, Part Management, Change Management and Route Management schema workflow testing.

•           Compared and listed the newly updated functional features from older version to 21x upgrade.

•           Worked on performance load testing using JMeter too

Mandatory (Experience 1): Must have 5+ years of hands-on designing experience especially in print and visual communication projects.

Mandatory (Experience 2): Must have proven conceptualisation and visualization skills, with the ability to convert briefs, raw data, and ideas into engaging visual creatives while maintaining brand messaging and design consistency.

Mandatory (Experience 3): Must have client interaction and team management experience, including coordinating with designers, art directors, project managers, and clients to ensure timely and high-quality creative deliverables.

Mandatory (Tech Skills 1): Must have strong knowledge of design principles, typography, color theory, layout design, and print production standards, with the ability to sign-off or review final deliverables.

Mandatory (Tech Skills 2): Must have hands-on experience in handling multiple creative tools and design workflows independently

Mandatory (Portfolio): Strong portfolio of Print Media / Creative Portfolio showcasing branding, marketing collaterals, brochures, presentations, or other high-quality visual design projects that demonstrate conceptual thinking and software proficiency.

Mandatory (Work Environment): Must be willing to work full-time from office and be flexible for rotational monthly shifts (including night shifts) as per business requirements.

Key responsibilities

• Design, build, and maintain robust CI/CD pipelines using Azure DevOps Services (Azure Pipelines) and Git-based workflows.

• Implement and manage infrastructure as code (IaC) using ARM templates, Bicep, and/or Terraform for repeatable environment provisioning.

• Containerize applications (Docker) and manage container orchestration platforms such as AKS (Azure Kubernetes Service).

• Automate build, test, release, and rollback processes; integrate automated testing and quality gates into pipelines.

• Monitor and improve platform reliability and observability using logging and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).

• Drive platform security and compliance through pipeline controls, secrets management (Key Vault / Vault), and secure configuration practices.

• Implement cost-optimization and governance for Azure resources (tags, policies, budgets).

• Troubleshoot build/release failures, production incidents, and performance bottlenecks; perform root-cause analysis and implement permanent fixes.

• Mentor developers in Git workflows, pipeline authoring, best practices for IaC, and cloud-native design.

• Maintain clear documentation: runbooks, deployment playbooks, architecture diagrams, and pipeline templates. 

Required skills & experience

• 4+ years hands-on experience working with Azure and cloud-native application delivery.

• Deep experience with Azure DevOps (Repos, Pipelines, Artifacts, Boards).

• Strong IaC skills with Terraform, ARM templates, or Bicep.

• Solid experience with CI/CD design and YAML pipeline authoring.

• Practical knowledge of containerization (Docker) and Kubernetes — preferably AKS.

• Scripting skills: PowerShell, Bash, and/or Python for automation.

• Experience with Git workflows (branching strategies, PRs, code reviews).

• Familiarity with configuration management and secrets management (Azure Key Vault, HashiCorp Vault).

• Understanding of networking, identity (Azure AD), and security fundamentals in Azure.

• Strong troubleshooting, debugging, and incident response skills.

• Good collaboration and communication skills; ability to work across teams.

Certification

AZ-400: Microsoft Certified: DevOps Engineer Expert or AZ-104 or AZ 305 or Terraform Associate.

We are looking for a creative and detail-oriented Content Writer to develop high-quality, engaging, and SEO-optimized content. The ideal candidate should have hands-on experience with Generative AI

tools and the ability to humanize AI-generated content effectively.

Key Responsibilities:

• Create high-quality content for blogs, websites, and digital platforms

• Develop SEO-optimized content aligned with keyword strategies

• Use Generative AI tools to produce and refine content while ensuring a human tone

• Edit and proofread content for clarity, grammar, and consistency

• Manage multiple projects and meet tight deadlines

• Collaborate with marketing and design teams for content planning

• Contribute to social media content creation and campaigns.

Required Skills & Qualifications:

• 1–3 years of experience in content writing

• Strong understanding of SEO principles and best practices

• Experience with Generative AI tools (e.g., ChatGPT or similar platforms)

• Ability to humanize AI-generated content

• Excellent writing, editing, and proofreading skills

• Strong time management and multitasking abilities.

Good to Have:

• Experience in social media content creation and strategy

• Familiarity with content management systems (CMS)

• Basic understanding of analytics tools.

What We Offer:

• Collaborative work environment

• Opportunity to work on diverse content formats

• Exposure to cutting-edge AI tools and content strategies

Location: Chennai (Hybrid)

Commitment: Minimum 2 Years (Excluding 3 months of Probation)

Experience Level: Fresher / Entry Level

Job Overview:

We are looking for a skilled and versatile System Administrator with strong expertise in Windows and Linux environments, along with working knowledge of cloud infrastructure, cybersecurity, automation, and AI/ML systems.

The ideal candidate should be capable of handling enterprise IT infrastructure, supporting multi-cloud environments, and contributing to AI/ML deployment and integration activities. Strong communication skills and the ability to collaborate with technical and client-facing teams are essential.

Key Responsibilities:

• Manage and maintain Windows and Linux server environments ensuring stability, performance, and security.
• Support deployment, configuration, and administration of IT infrastructure components across on-prem and cloud environments.
• Monitor system health, troubleshoot issues, and ensure high availability of services.
• Work with cloud platforms such as AWS, Microsoft Azure, and Google Cloud.
• Assist in implementation of security solutions including IAM, firewalls, endpoint protection, and SIEM tools.
• Develop and maintain automation scripts using Python, PowerShell, or JavaScript.
• Support deployment and integration of AI/ML models into production environments.
• Collaborate with engineering and development teams to optimize infrastructure and application performance.
• Participate in technical discussions, documentation, and client support activities when required.

Required Skills & Qualifications:

• Strong knowledge of Windows and Linux system administration.
• Good understanding of networking, servers, and cloud fundamentals.
• Experience or exposure to AWS, Azure, or GCP.
• Proficiency in scripting languages such as Python, PowerShell, or JavaScript.
• Basic understanding of cybersecurity principles and system hardening.
• Familiarity with AI/ML concepts and deployment workflows is an advantage.
• Strong analytical and troubleshooting skills.
• Excellent verbal and written communication skills.

Preferred Qualifications:

• Experience with virtualization and containerization (VMware, Docker, Kubernetes).
• Knowledge of CI/CD pipelines and DevOps practices.
• Exposure to MLOps concepts and model deployment workflows.
• Understanding of monitoring tools and logging systems.
• Experience working in hybrid or enterprise IT environments.

What We Offer:

• Exposure to enterprise-level infrastructure and cloud environments.
• Opportunity to work on real-world AI/ML integration projects.
• Structured career growth into Cloud, DevOps, Security, or AI/ML engineering roles.
• Collaborative work environment with hands-on learning opportunities.
• Competitive compensation and long-term growth path.

Who Should Apply:

• Freshers or candidates with up to 2 years of experience.
• Candidates passionate about system administration, cloud computing, and AI/ML.
• Individuals eager to work in infrastructure-heavy, production environments.
• Strong communicators who can work in team-oriented and client-facing roles.

About The Job:

Job Title: Inside Sales Executive

Location: Teynampet, Chennai

Job Type: Full-time

Company: Gigadesk Technologies Pvt. Ltd.[Greatify.ai]

Eligibility: 0 - 1 Years of Experience

Website: www.greatify.ai

Company Description:

At Greatify.ai, we lead the transformation of educational institutions with state-of-the-art AI-driven solutions. Serving 100+ institutions globally, our mission is to unlock their full potential by enhancing learning experiences and streamlining operations. Join us to empower the future of education with innovative technology.

Job Description:

We’re looking for an Inside Sales Executive to drive growth through inbound and outbound calls, engage potential customers, understand their needs, and effectively present GREATIFY solutions. The role involves building strong client relationships, maintaining consistent follow-ups, and closing deals while ensuring a seamless customer experience. Strong communication, persuasion skills, and a target-driven mindset are essential. 

Key Responsibilities:

• Conduct targeted market research within the education sector to identify potential customers.
• Engage prospects via calls, email, and online platforms to introduce GREATIFY’s EdTech solutions
• Understand customer needs and confidently present product features and benefits
• Follow up consistently and convert leads into customers
• Collaborate with the marketing team on campaigns and lead generation initiatives
• Maintain accurate records of customer interactions in the CRM
• Meet or exceed demo targets, contributing to the company's revenue goals.

Key Skills:

• Strong communication and active listening skills
• Confidence in speaking with customers and building rapport
• Self-motivated with a proactive, target-driven mindset
• Ability to handle objections and close deals
• Willingness to learn and grow in a fast-paced environment
• Languages preferred: English, Hindi, Kannada, Telugu, Tamil, or Malayalam
• Basic computer/CRM knowledge is a plus

Join us at Greatify.ai and make a lasting impact on the Edtech Industry.

Key responsibilities

• Design, build, and maintain robust CI/CD pipelines using Azure DevOps Services (Azure Pipelines) and Git-based workflows.

• Implement and manage infrastructure as code (IaC) using ARM templates, Bicep, and/or Terraform for repeatable environment provisioning.

• Containerize applications (Docker) and manage container orchestration platforms such as AKS (Azure Kubernetes Service).

• Automate build, test, release, and rollback processes; integrate automated testing and quality gates into pipelines.

• Monitor and improve platform reliability and observability using logging and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).

• Drive platform security and compliance through pipeline controls, secrets management (Key Vault / Vault), and secure configuration practices.

• Implement cost-optimization and governance for Azure resources (tags, policies, budgets).

• Troubleshoot build/release failures, production incidents, and performance bottlenecks; perform root-cause analysis and implement permanent fixes.

• Mentor developers in Git workflows, pipeline authoring, best practices for IaC, and cloud-native design.

• Maintain clear documentation: runbooks, deployment playbooks, architecture diagrams, and pipeline templates. 

Required skills & experience

• 5+ years hands-on experience working with Azure and cloud-native application delivery.

• Deep experience with Azure DevOps (Repos, Pipelines, Artifacts, Boards).

• Strong IaC skills with Terraform, ARM templates, or Bicep.

• Solid experience with CI/CD design and YAML pipeline authoring.

• Practical knowledge of containerization (Docker) and Kubernetes — preferably AKS.

• Scripting skills: PowerShell, Bash, and/or Python for automation.

• Experience with Git workflows (branching strategies, PRs, code reviews).

• Familiarity with configuration management and secrets management (Azure Key Vault, HashiCorp Vault).

• Understanding of networking, identity (Azure AD), and security fundamentals in Azure.

• Strong troubleshooting, debugging, and incident response skills.

• Good collaboration and communication skills; ability to work across teams.

Certification

AZ-400: Microsoft Certified: DevOps Engineer Expert or AZ-104 or AZ 305 or Terraform Associate.

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

At BigThinkCode, our technology solves complex problems. We are looking for talented back-end (node.JS) engineer to join our at Chennai.

Please find below our job description, if interested apply / reply sharing your profile to connect and discuss.

Company: BigThinkCode Technologies

URL: https://www.bigthinkcode.com/

Experience required: 3-4 years

Work location: Chennai

Joining time: Immediate – 4 weeks

Work Mode: Work from office / Hybrid

A skilled Node.js Developer with experience in building scalable applications using event-driven architecture within distributed systems. The ideal candidate should be comfortable in high-performance backend services and have a strong understanding of asynchronous programming patterns.

Experience or exposure to knowledge embedding and vectorization techniques is a strong plus, especially in the context of modern data-driven or AI-powered systems.

Must have skills:

• Hands on expertise in OOJS, node.js, distributed systems.
• Event drive architecture (EDA) microservices project experience MUST.
• Any programming: Typescript or nodeJS or Golang
• Hands on experience using docket containers and Kubernetes.
• Aware about Asynchronous and Loose Coupling.
• Familiar with API’s gateway and microservice design patterns.

Required Skills

• 3+ years of hands-on experience with Node.js
• Strong understanding of event-driven architecture and non-blocking I/O
• Experience working with distributed systems and microservices architecture
• Proficiency in RESTful API design and implementation
• Experience with databases such as MongoDB, PostgreSQL, or MySQL
• Experience with containerization tools like Docker and orchestration tools like Kubernetes

Key Responsibilities

• Design, develop, and maintain server-side applications using Node.js
• Build and optimize scalable, event-driven systems in distributed environments
• Implement asynchronous workflows, message queues, and pub/sub architectures
• Collaborate with cross-functional teams to define and deliver backend solutions

Good to Have 

• Experience with knowledge embedding and vectorization techniques
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS)
• Understanding of cloud platforms (AWS, Azure, or GCP)

Why Join Us:

• Collaborative work environment.
• Exposure to modern tools and scalable application architectures.
• Medical cover for employee and eligible dependents.
• Tax beneficial salary structure.
• Comprehensive leave policy
• Competency development training programs.

Greetings from zealous services!!!

Looking for your career in 3D Modelling and Animation Field???

We have Immediate requirements for 3D Trainees.

● Experience: Fresher

● Designation: 3D Trainee

● Age Criteria: 18-24 yrs

● Flexible to work in Rotational Shifts.

● We have immediate requirements for both locations Chennai & Salem.

● Qualifications: B.sc/M.sc (Viscom)/B.sc/M.sc (Animation & VFX)/Diploma/BFA/MFA (2025 & 2026 Passed outs only)

Documents Mandatory:

● Carry your updated resume copy.

Contact: IRFAN (HR)

Position: Microsoft .NET Full Stack Developer

Experience: 4–6 Years

Open Positions: 10

Location: PAN India (Final Round – Face-to-Face Interview)

Budget: Up to 15 LPA

Notice Period: Immediate joiners preferred

Key Responsibilities:

· Work on highly distributed and scalable system architecture

· Design, develop, test, and maintain high-quality software solutions

· Ensure performance, security, and maintainability of applications

· Collaborate with cross-functional teams and stakeholders

· Perform system testing and resolve technical issues

Required Skills:

· Strong experience in ASP.NET, C#, .NET Core, MVC

· Hands-on experience with SQL Server / PostgreSQL

· Experience in Angular / React (Frontend technologies)

· Knowledge of microservices architecture & RESTful APIs

· Familiarity with CQRS pattern

· Exposure to AWS / Docker / Kubernetes

· Experience with CI/CD pipelines (Azure DevOps, Jenkins)

· Knowledge of Node.js is an added advantage

· Understanding of Agile methodology

· Good exposure to cybersecurity and compliance

Technology Stack:

· Microsoft .NET technologies (primary)

· Cloud platforms: AWS (SaaS/PaaS/IaaS)

· Databases: MSSQL, MongoDB, PostgreSQL

· Caching: Redis, Memcached

· Messaging queues: RabbitMQ, Kafka, SQS

Application Deployment Engineers / Deployment Engineer – Video Analytics / CCTV Solutions / Application Implementation Engineer

Company Name

Paralaxiom Technologies Private Limited

Company Website

https://www.vast.vision/

https://www.linkedin.com/company/paralaxiom

Company details

Paralaxiom Technologies is involved in deep learning algorithms to develop video analytics-based security and compliance applications. They offer OCR products and image classification tools enhanced by machine learning algorithms and robust statistical analysis. We are among the earliest practitioners of AI software and we have world-class credentials in these technologies. They offer products like Paralaxiom VAST(Video Analytics and Surveillance Toolkit) and Paralaxiom AMPLE(Paralaxiom natural language processing platform).

In today's world, all premises be it manufacturing, hospitals, offices, hotels, cities, airports, shops, warehouses etc. are covered with CCTV Cameras. Continuous monitoring through dedicated command center or e-surveillance is proving to be ineffective as well as costly to manage.

We have pioneered the use of AI / ML technologies to headlessly live monitor CCTV cameras to generate very accurate alerts, alarms & insights and deliver them directly to the right stakeholders for quick, proactive action.

We have worked closely with hundreds of customers from diverse industries, AI Hardware Partners, CCTV OEMs, VMSs, System Integrators & Consultants to bring to the world VAST, an enterprise-ready Video Surveillance as a Service (VSaaS) solution.

Location: Pune / Bangalore / Chennai

Mode of Working: Work From Office 

Days of Working: 5 Days a week

Responsibilities

Position Overview:

Paralaxiom is a video analytics and machine vision company with its VAST product line a path-breaking product for safety, security, and operations for CCTV operations.

We are looking for application engineers for this product line.

Experience: 1 -2 years

Key Responsibilities:

1) Gathering information from customers on their needs and understanding how VAST software matches their desires

2) Design the solution and installation of the software

3 ) Making sure the VAST software continues to work properly after maintenance and testing

4) Take notes of all aspects of the application for future upgrades and maintenance

5) Troubleshooting the software

6) Training the end users

7) Excellent Knowledge of Python and shell scripting

8) Working knowledge of IP networking and troubleshooting

We need someone with 1-2 years of experience with the following skillset:

Great communication skills

Debugging and analytical skills

Knowledge of hardware and software integration will be a plus

Knowledge of Camera NVR will be a plus

Hands-on system and functional testing will be a plus

Interview process: 3 Video + Final Discussion - F2F

Key Responsibilities

 Architect and implement enterprise-grade Lakehouse solutions using Databricks

 Design and deliver scalable batch and real-time data pipelines using Apache Spark (PySpark/SQL)

 Build ETL/ELT pipelines, incremental data loads, and metadata-driven ingestion frameworks

 Implement and optimize Databricks components: Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, and Workflows

 Design large-scale data warehousing solutions with 3NF and dimensional modeling

 Establish data governance, security, and data quality frameworks, including Unity Catalog

 Lead ML lifecycle management using MLflow and drive AI use cases (RAG, AI/BI)

 Manage cloud-native deployments on Microsoft Azure and integrate with enterprise systems (e.g., ServiceNow)

 Drive CI/CD, DevOps practices, and performance optimization of Spark workloads

 Provide technical leadership, mentor teams, and ensure successful delivery

 Collaborate with stakeholders to translate business requirements into scalable solutions

Required Skills & Experience

 10+ years in Data Engineering / Analytics / AI with strong delivery ownership

 Deep expertise in Databricks ecosystem (Notebooks, Delta Lake, Workflows, AI/BI, Apps, Genie)

 Strong hands-on experience with: 

a. Apache Spark (performance tuning & scalability)

b. Python and SQL

 Proven experience in: 

a. Solution architecture and large-scale data platforms

b. Data warehousing and advanced data modeling

c. Batch and real-time processing systems

 Experience with: 

a. Azure Databricks and Azure data services

b. MLflow and MLOps practices

c. ServiceNow or enterprise integrations

 Exposure to AI technologies (RAG, LLM-based solutions)

 Strong stakeholder management and leadership skills

Certifications (Preferred)

 Databricks certifications aligned to data engineering and AI tracks, such as: 

a. Databricks Certified Data Engineer Associate (validates foundational ETL, Spark, and Lakehouse capabilities)

b. Databricks Certified Data Engineer Professional (advanced expertise in pipeline design, optimization, and governance)

 Certifications in Databricks Machine Learning or Generative AI tracks (e.g., ML Associate / Professional) for AI-driven use cases

 Relevant cloud certifications in Microsoft Azure or Amazon Web Services for platform deployment and architecture

Role Summary

We are looking for a highly skilled AI Engineer / AI Architect to design, develop, and deploy scalable AI solutions. The ideal candidate will have strong expertise in building the Enterprise Generative AIsolution along with the ability to architect end-to-end AI systems aligned with business objectives. 

Key Responsibilities

Design and implement end-to-end AI/Gen AI solutions.  Architect scalable and secure AI systems using cloud platforms. 

Work on Generative AI use cases including LLMs, RAG, Workflow, Agentic AI, prompt

engineering, LLM-as-Judge, and fine-tuning. 

Collaborate with cross-functional teams and customer to translate business requirements into AI solutions. 

Should have knowledge and worked in SDLC process and understand DevOps

practices/workflows. 

Stay updated with emerging AI trends and evaluate new tools/technologies. 

Mentor junior engineers and guide best practices in AI development. 

Required Skills

Strong proficiency in Python and AI/ML Tools like Google ADK/Langgraph/Langchain, etc.., Should have experience in configuring the LLM in AWS Bedrock/Azure Foundry/Databricks and

configure the LLMOPS and production grade AI System. 

Hands-on experience with Generative AI (LLMs, embedding, prompt engineering). 

Understands the Agile process and involve in technical scoping and estimations

Strong problem-solving and analytical skills.  Experience working on production-grade AI systems. 

Nice to Have

Certifications in Gen AI/AI/ML in Azure/Databricks platforms. 

Should have some foundational knowledge with Azure Cloud

Experience in handling an enterprise custom and enterprise AI solutions is a added advantage.

About the Role

We are looking for a Customer Success Analyst who can work closely with Agile/Scrum teams and bring customer insights into product development. This role will act as a bridge between customers, product, and engineering teams by leveraging data from customer success platforms like Planhat.

Key Responsibilities

• Collaborate with Scrum teams (Product Owner, Developers, Scrum Master) during sprint planning and reviews
• Bring customer insights, feedback, and product usage data into backlog prioritization
• Monitor customer health scores, adoption metrics, and churn risks using tools like Planhat or Gainsight
• Translate customer challenges into actionable user stories and requirements
• Track feature adoption post-release and provide feedback to product teams
• Work closely with Customer Success, Sales, and Support teams to ensure alignment
• Maintain and analyze customer data in CRM tools like Salesforce or HubSpot
• Support renewal and retention strategies by identifying at-risk accounts

Key Requirements

• 5+ years of experience in Customer Success / Business Analysis / Product Support / Account Management
• Basic understanding of Agile / Scrum methodologies
• Experience with Customer Success platforms (Planhat, Gainsight, or similar)
• Strong analytical and problem-solving skills
• Ability to interpret customer data and convert it into actionable insights
• Good communication skills to work with cross-functional teams
• Experience working in SaaS or product-based environments preferred

Good to Have

• Exposure to Agile tools (Jira, Confluence)
• Experience with product analytics tools (Mixpanel, Amplitude)
• Understanding of customer lifecycle management and SaaS metrics (churn, retention, LTV)
• Exposure to accessibility and inclusive product design

At BigThinkCode, our technology solves complex problems. We are looking for talented Data engineer to join our Data team at Chennai.

Our ideal candidate will have expert knowledge of software development processes, programming, and problem-solving skills. This is an opportunity to join a growing team and make a substantial impact at BigThinkCode Technologies.

Please see below our job description, if interested apply / reply sharing your profile to connect and discuss.

Company: BigThinkCode Technologies

URL: https://www.bigthinkcode.com/

Work location: Chennai (work from office)

Experience required: 4 - 6 years

Work location: Chennai

Joining time: Immediate – 4 weeks

Work Mode: Work from office (Hybrid)

Job Overview:

We are seeking a skilled Data Engineer to design, build, and maintain robust data pipelines and infrastructure. You will play a pivotal role in optimizing data flow, ensuring scalability, and enabling seamless access to structured/unstructured data across the organization. The ideal candidate will design, build, and optimize scalable data pipelines with strong SQL proficiency, data modelling expertise.

Key Responsibilities:

• Design, develop, and maintain scalable pipelines to process structured and unstructured data.
• Optimize and manage SQL queries for performance and efficiency in large-scale datasets.
• Experience working with data warehouse solutions (e.g., Redshift, BigQuery, Snowflake) for analytics and reporting.
• Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions.
• Experience in Implementing solutions for streaming data (e.g., Apache Kafka, AWS Kinesis) is preferred but not mandatory.
• Ensure data quality, governance, and security across pipelines and storage systems.
• Document architectures, processes, and workflows for clarity and reproducibility.

Required Technical Skills:

• 4 or more years of experience in Data Engineering file.
• Expertise in SQL (complex queries, optimization, and database design).
• Write optimized and production-grade SQL scripts for transformations and data validation.
• Solid understanding and hands on experience in creating data pipelines and patterns.
• Proficiency in any programming languages like Python or R for scripting, automation, and pipeline development.
• Hands-on experience with Google Bigquery and Apache Airflow.
• Experience working on any cloud-based platforms like AWS or GCP or Azure.
• Experience working with structured data (RDBMS) and unstructured data (JSON, Parquet, Avro).
• Familiarity with cloud-based data warehouses (Redshift, BigQuery, Snowflake).
• Knowledge of version control systems (e.g., Git) and CI/CD practices.

Why Join Us:

·      Collaborative work environment.

·      Exposure to modern tools and scalable application architectures.

·      Medical cover for employee and eligible dependents.

·      Tax beneficial salary structure.

·      Comprehensive leave policy

·      Competency development training programs.

Job Description: -

Conduct meetings and give product demonstration to the CXO level/ key decision makers of the prospective clients -

Cold call as appropriate within your market or geographic area to ensure a robust pipeline of opportunities

- Prospect for potential new clients and turn this into increased business

- Research and build relationships with new clients - Plan approaches and pitches

- Develop and manage an efficient distribution network to improve sales performance

- Conduct market research to understand competitors and market trends

- Provide innovative ideas and suggestions to improve the market presence

- Develop creative promotional strategies to attract more customers

- Handle objections by clarifying, emphasizing agreements and working through differences to a positive conclusion.

- Use a variety of styles to persuade or negotiate appropriately - Maintains relationship with clients & channel partner

- Willing to travel anywhere in India, if required

- To prepare sales proposals for prospective clients

. - Timely Reporting of daily, weekly, sales trackers and monthly reports. - Carry a comfortable back pack of demo kit for demonstration weighng upto 3 kgs.

Requiements/ Qualification:

- Strong Interpersonal and Presentation skills.

- Confident speaker and aility to engage key decision makers (CXO level) is be the key quality 2 sought in candidates.

- Candidates with proven work experience in Channel sales for products like CCTV, Video Door Phone, Access Door Control, etc (preferred)

- MBA (sales and Marketing would be preferred) with 1-2 years experience

- Must have 2 wheeler. Industry: IT-Hardware & Networking/ access control/ automation

Key Responsibilities:

• Work on highly distributed and scalable system architecture

• Design, develop, test, and maintain high-quality software solutions

• Ensure performance, security, and maintainability of applications

• Collaborate with cross-functional teams and stakeholders

• Perform system testing and resolve technical issues

Required Skills:

• Strong experience in ASP.NET, C#, .NET Core, MVC

• Hands-on experience with SQL Server / PostgreSQL

• Experience in Angular / React (Frontend technologies)

• Knowledge of microservices architecture & RESTful APIs

• Familiarity with CQRS pattern

• Exposure to AWS / Docker / Kubernetes

• Experience with CI/CD pipelines (Azure DevOps, Jenkins)

• Knowledge of Node.js is an added advantage

• Understanding of Agile methodology

• Good exposure to cybersecurity and compliance

Technology Stack:

• Microsoft .NET technologies (primary)

• Cloud platforms: AWS (SaaS/PaaS/IaaS)

• Databases: MSSQL, MongoDB, PostgreSQL

• Caching: Redis, Memcached

• Messaging queues: RabbitMQ, Kafka, SQS

Experience: 6+ Years

Location: Chennai & Pune

Work Model: Hybrid

Notice Period: Immediate Joiners Preferred

Role Overview

We are looking for a highly skilled Senior Python Engineer to design, develop, and scale robust backend systems and data-driven applications. The ideal candidate should have strong problem-solving skills, experience with modern Python frameworks, and exposure to cloud and emerging technologies like Generative AI and LLMs.

Key Responsibilities

• Design, develop, and maintain scalable applications using Python
• Build and optimize RESTful APIs using Flask or FastAPI
• Work on data manipulation, processing, and transformation using Python libraries
• Collaborate with cross-functional teams to define and deliver high-quality solutions
• Develop efficient, reusable, and reliable code with strong attention to performance
• Implement containerization and orchestration using Docker and Kubernetes
• Ensure application security, data protection, and compliance best practices
• Manage code versioning using Git and follow CI/CD best practices
• Contribute to cloud-based deployments and infrastructure
• Explore and implement solutions using Generative AI and Large Language Models (LLMs)

Required Skills & Qualifications

• 6+ years of hands-on experience in Python development
• Strong understanding of Python fundamentals and problem-solving skills
• Experience with data manipulation libraries (e.g., Pandas, NumPy)
• Expertise in building REST APIs using Flask or FastAPI
• Solid understanding of ORM frameworks (e.g., SQLAlchemy, Django ORM)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Hands-on experience with Docker and Kubernetes
• Strong knowledge of application security principles
• Proficiency in Git and version control practices
• Exposure to Generative AI concepts and working with LLMs