
Role Summary:
We are looking for a Marketing Specialist who understands both AI technology and the industrial manufacturing landscape. This person will be responsible for driving awareness, generating demand, and positioning our AI solutions as a critical tool for modern manufacturing.
Key Responsibilities:
- Develop and execute B2B marketing strategies to promote AI products tailored for the manufacturing sector.
- Craft messaging, positioning, and value propositions based on a deep understanding of manufacturing challenges and AI capabilities.
- Create high-impact content: case studies, product briefs, whitepapers, videos, webinars, and customer success stories.
- Work closely with product, sales, and data science teams to translate complex features into customer-focused benefits.
- Plan and manage industry-specific campaigns using digital marketing, email outreach, LinkedIn, and webinars.
- Represent the brand at manufacturing tech expos, webinars, and customer demos.
- Analyze campaign performance and optimize marketing efforts based on data-driven insights.
- Support lead generation and ABM (Account-Based Marketing) activities focused on key enterprise clients.
Required Skills & Qualifications:
- Bachelor's or Master’s in Marketing, Engineering, Business, or related field.
- 3+ years of experience in B2B marketing, ideally in SaaS, AI/ML products, or industrial/manufacturing tech.
- Strong understanding of the manufacturing domain (automotive, steel, FMCG, pharma, etc.).
- Familiarity with AI/ML concepts such as predictive maintenance, anomaly detection, computer vision, digital twins, etc.
- Proficiency in content marketing, digital campaigns, SEO/SEM, and marketing automation tools (e.g., HubSpot, Marketo).
- Excellent written and verbal communication skills with the ability to convey technical concepts in a simple, compelling manner.
- Ability to analyze data, track KPIs, and continuously improve marketing performance.
Preferred:
- Experience in working with data-driven platforms or IIoT (Industrial Internet of Things).
- Exposure to CRM systems like Salesforce.
- Knowledge of analytics tools such as Google Analytics, Power BI, or Tableau.
- Experience collaborating with cross-functional teams including data scientists, engineers, and sales.

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Mandatory (Experience 1) – Must have 8+ years total experience in DevSecOps / Cloud Security / Platform Security roles securing AWS workloads and CI/CD systems.
Mandatory (Experience 2) – Must have strong hands-on experience securing AWS services (including but not limited to) KMS, WAF, Shield, CloudTrail, AWS Config, Security Hub, Inspector, Macie and IAM governance
Mandatory (Experience 3) – Must have hands-on expertise in Identity & Access Security including RBAC, IRSA, PSP/PSS, SCPs and IAM least-privilege enforcement
Mandatory (Experience 4) – Must have hands-on experience with security automation using Terraform and Ansible for configuration hardening and compliance
Mandatory (Experience 5) – Must have strong container & Kubernetes security experience including Docker image scanning, EKS runtime controls, network policies, and registry security
Mandatory (Experience 6) – Must have strong CI/CD pipeline security expertise including SAST, DAST, SCA, Jenkins Security, artifact integrity, secrets protection, and automated remediation
Mandatory (Experience 7) – Must have experience securing data & ML platforms including databases, data centers/on-prem environments, MWAA/Airflow, and sensitive ETL/ML workflows
Mandatory (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth
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We are looking for an experienced YouTube Expert / YouTube Channel Manager / Video Marketing Specialist to lead the growth and strategy of our YouTube presence. The ideal candidate will have a strong command of YouTube SEO, analytics, and audience engagement, along with the creativity to craft impactful video content that drives results.
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Team Leadership: Recruit, train, and supervise staff, fostering a motivated and efficient team.
Sales & Profitability: Develop strategies to meet sales targets and enhance store profitability. resources.workable.com
Inventory Management: Oversee stock levels, order merchandise, and ensure efficient inventory control. manatal.com
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Job Description: Principal Engineer (Full Stack Architect)
Job Title: Full Stack Architect
Location: Hyderabad, India
Experience: 15Years to 20 years (4+ years in Enterprise Architecture)
Technology Stack: MERN (MongoDB, Express, React, Node.js), Distributed Systems, Cloud (GCP/Azure), Neo4j, Vector Databases, SQL and NoSQL Databases, Knowledge Graphs.
Industry: Enterprise Software, Large-Scale Distributed Systems, Machine Learning
Job Summary
As a Full Stack Architect, you will play a pivotal role in designing and architecting large-scale distributed systems with a strong focus on the MERN stack (MongoDB, Express.js, React, Node.js). You will lead the design and implementation of enterprise-grade software solutions that leverage cloud infrastructure (GCP/Azure), knowledge graphs (Neo4j), vector databases, and machine learning at scale. In this role, you will work closely with cross-functional teams including data scientists, cloud engineers, and front-end developers to deliver high-performance, secure, and scalable applications.
This role requires a deep understanding of distributed systems architecture, graph databases, machine learning systems, and cloud computing, with a strong focus on building solutions that meet business and technical needs. The ideal candidate will have 12+ years of experience with a proven track record of architecting full-stack systems and leading engineering teams in a fast-paced, innovative environment.
Roles and Responsibilities
Full Stack Architecture: Design, develop, and maintain highly scalable, distributed, and fault-tolerant enterprise applications using the MERN stack (MongoDB, Express.js,
React, Node.js).
Distributed Systems: Architect and design large-scale distributed systems that handle high- volume, low-latency data processing.
Cloud Engineering: Implement and maintain cloud infrastructure solutions on GCP or AWS,ensuring high availability, scalability, and performance.
Knowledge Graphs and Databases: Design and optimize complex data models using Neo4j, vector databases, and other NoSQL solutions to manage interconnected data efficiently.
Enterprise Solutions: Architect and deliver cloud-native enterprise software solutions that meet enterprise-grade security, compliance, and performance requirements.
Data Structure & Algorithms (DSA): Lead by example in writing efficient, high-performance code and optimize software with a strong focus on algorithms, data structures, and system design principles.
Collaboration: Work with engineering, data science, and product teams to translate business requirements into scalable technical solutions.
Mentorship: Mentor junior engineers and foster a collaborative team environment.
Performance Optimization: Ensure system performance, scalability, and reliability throughcode reviews, optimizations, and best engineering practices.
Documentation & Best Practices: Maintain comprehensive architecture documentation and promote engineering best practices across teams.
Mandatory Requirements
Experience: 12+ years of full-stack development experience, with significant expertise
in building and architecting applications using the MERN stack (MongoDB, Express.js,
React, Node.js).
Distributed Systems: Proven track record of architecting and implementing large-scale
distributed systems with a focus on reliability, scalability, and performance.
Cloud Expertise: Extensive hands-on experience with cloud infrastructure (GCP or AWS),
with a deep understanding of cloud services such as compute, storage, networking, and
security.
Database Systems: Expertise in NoSQL databases like MongoDB and graph databases like
Neo4j. Experience with vector databases for high-dimensional data processing.
Knowledge Graphs: Hands-on experience in designing and working with knowledge graphs
for solving complex data relationships.
Data Structures & Algorithms: Strong knowledge of DSA with practical experience in
solving complex technical challenges.
Microservices Architecture: Experience in designing and developing microservices-based
architectures and ensuring high availability.
DevOps ; Automation: Knowledge of DevOps practices (CI/CD), containerization (Docker), and orchestration (Kubernetes).
Agile Methodologies: Experience with Agile development methodologies, including SCRUM, TDD, and iterative development.
Nice-to-Have Requirements
Front-End Expertise: Advanced experience with React.js, with knowledge of modern front- end technologies (Next.js, Redux, TypeScript).
Cloud Certifications: Google Cloud Professional Architect or Azure Certified Solutions Architect certifications.
Data Engineering: Hands-on experience with data pipelines, ETL processes, and big data technologies (e.g., Apache Spark, Kafka).
AI/ML Ops: Experience in deploying machine learning models using MLOps frameworks and automating ML pipelines.
Graph Analytics: Experience in graph algorithms and analytics, with the ability to model and query complex relationships in a graph database.
System Design: Experience in conducting system design reviews, providing insights into performance bottlenecks, scalability, and trade-offs.
Security & Compliance: Knowledge of enterprise-level security protocols and data privacy compliance frameworks (e.g., SOC2, GDPR).
Leadership: Proven experience in leading cross-functional teams, setting technical roadmaps, and ensuring alignment between business and technical goals.
Looking for a MEAN / MERN Stack Developer.
Looking for Someone with good experience with below skills.
* Minimum 3+ years of professional experience with any of the below stacks.
* Proven experience as a Frontend Developer (or) Backend Developer (or) Full stack Developer.
* Experience developing desktop and mobile applications.
* Familiarity with common stacks.
* Front-end – ReactJs, HTML/ CSS, JavaScript, Typescript, XML, jQuery.
* Back-end – JavaScript frameworks with Nodejs.
* Full Stack : ReactJs, NodeJs, HTML/ CSS, JavaScript, Typescript, XML, jQuery.
The responsibilities and duties section is the most important part of the job description. Please read them below and if interested, do go ahead and apply!
Roles and Responsibilites:
- Manages talent acquisition process, including sourcing, testing, interviewing, hiring and onboarding
- Keeps job descriptions up-to-date, accurate and compliant with relevant federal, state and local laws for all positions
- Develops training and performance management program that ensures all employees are familiar with their job responsibilities, as well as relevant legal and safety requirements
- Creates and updates compensation strategy through market analysis and pay surveys
- Handles investigation and resolution of employee issues, concerns and conflicts
- Ensures all employment practices comply with federal, state and local regulations
We're looking for Senior Node js backend developers with over 2+ years of experience and strong expertise in Javascript based development using Node js and Express. We are looking for cadidates who are go-getters and are leaning towards leadership positions. Candidates must have a proven history of building, scaling, optimising and securing Node js based backends and APIs using a microservice architecture.
Bonus Skill : Experience with ReactJs, Postgres
We would prefer candidates who can join immediately or are currently serving their notice period.
Key Skills Required
-
A passion for Javascript based solutions and an extremely strong understanding of JavaScript
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Proficiency in Node js and Express based development
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Stong experience in building scalable REST APIs
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Experience in implenting API security using tokens, encryptions keys and other methods
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A proved history of building scalable and secure web applications and APIs with Node js using a microservice architecture
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Working experience with API Gateways
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Experience with Docker
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Experience in maintaining code via Git workflows
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Ability to work independantly or as a part of a team
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Ability to work in an Agile environment
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Understanding requirement and congributing to engineering solutions at a conceptual stage to provide the best possible solution to the task/challenge
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Building high quality code using coding standards based on the SRS/Documentation
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Building component based, maintainable, scalable and reusable backend libraries/modules.
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Building & documenting scalable APIs on the Open Spec standard
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Unit testing development modules and APIs
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Conducting code reviews to ensure that the highest quality standard are maintained
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Securing backend applications and APIs using industry best practices
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Troubleshooting issues and fixing bugs raised by the QA team efficiently.
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Optimizing code
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Building and deploying the applications
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