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Job Title : Red Hat PAM Developer
Experience Required :
- Relevant Experience : 4+ Years
- Total Experience : Up to 8 Years
No. of Positions : 4
Work Locations : Hyderabad / Bangalore / Mumbai / Pune / Gurgaon / Chennai
Work Mode : Hybrid
Work Timings : 1:00 PM to 10:00 PM IST
Interview Mode : Virtual
Interview Rounds : 2
Mandatory Skills :
- Excellent communication skills – must be comfortable in client-facing roles
- Red Hat Process Automation Manager (PAM)
- JBPM (Java Business Process Management)
- BPMN 2.0 (Business Process Model and Notation) – low-code platform
- DMN (Decision Model and Notation) – business processes and rules
- Spring Boot
- JavaScript
Good-to-Have Skills :
- Red Hat Fuse
- Apache Kafka
- Apache Camel
Job Description:
We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems.
This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production.
You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability.
Key Responsibilities
AI & Agentic Infrastructure
- Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows.
- Build scalable runtime environments for LLM orchestration frameworks.
- Enable deployment of AI copilots, assistants, and autonomous decision systems.
Common frameworks may include:
- LangChain
- LlamaIndex
- AutoGPT
LLMOps & AI Model Lifecycle
Design and manage LLMOps pipelines for the full lifecycle of large language models:
- Model deployment
- Prompt management
- Versioning
- Evaluation and testing
- Model monitoring
Integrate with AI platforms such as:
- Azure Machine Learning
- Amazon SageMaker
- Vertex AI
Retrieval-Augmented Generation (RAG) Infrastructure
Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs.
Responsibilities include:
- Document ingestion pipelines
- Embedding generation workflows
- Knowledge indexing
- Query orchestration
- Retrieval optimization
- Support scalable semantic search architectures.
Vector Database & Knowledge Infrastructure
Deploy and manage vector databases used for AI applications and semantic retrieval.
Common technologies include:
- Pinecone
- Weaviate
- Milvus
- FAISS
Responsibilities include:
- Index optimization
- Query latency tuning
- Scalable embedding storage
- Hybrid search architecture
Multi-Cloud AI Infrastructure
Design and maintain AI-ready infrastructure across:
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
Key responsibilities include:
- GPU infrastructure management
- Distributed training environments
- Hybrid cloud integrations with on-prem data centers
- Infrastructure scaling for AI workloads
Data Platforms & Integration
- Support deployment and optimization of data lakes, data warehouses, and streaming platforms.
- Work with data engineering teams to ensure secure and scalable data infrastructure.
Cloud Architecture & Infrastructure
- Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud.
- Build hybrid cloud architectures integrating on-premise environments with cloud platforms.
- Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads.
DevOps, Platform Engineering & Automation
Build automated cloud infrastructure using modern DevOps practices.
Tools may include:
- Terraform
- Docker
- Kubernetes
- GitHub Actions
Responsibilities include:
- Infrastructure as Code (IaC)
- Automated deployments
- CI/CD pipelines for AI models and services
- Platform reliability and scalability
AI Observability & Monitoring
Implement observability frameworks to monitor AI systems in production.
This includes:
- Model performance monitoring
- Prompt evaluation
- Hallucination detection
- Latency and throughput analysis
- Cost monitoring for LLM usage
Tools may include:
- Arize AI
- WhyLabs
- Weights & Biases
Security, Governance & Responsible AI
Ensure AI systems follow strong governance and security practices.
Responsibilities include:
- Data privacy and compliance
- Model governance frameworks
- Secure model deployment
- Monitoring model bias and drift
- AI risk management
Support enterprise frameworks for Responsible AI and AI compliance.
Data & Security
- Experience with data lake architectures, distributed storage, and ETL pipelines
- Knowledge of data security, encryption, IAM, and compliance frameworks
- Familiarity with AI governance and responsible AI practices
Required Skills
Cloud & Infrastructure
- Strong experience in Azure (must have), AWS or GCP
- Hybrid and multi-cloud architecture
- GPU infrastructure management
DevOps & Automation
- Kubernetes
- Docker
- Terraform
- CI/CD pipelines
AI / ML Platforms
- MLOps pipelines
- Model deployment
- Model monitoring
AI Application Infrastructure
- Vector databases
- RAG pipelines
- LLM orchestration frameworks
Programming
Experience in one or more languages:
- Python
- Go
- Java
- TypeScript
Preferred Qualifications
- Experience building AI copilots or autonomous agents
- Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training
- Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability
- Experience building enterprise AI platforms
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering
- Experience working in data-driven or AI-focused environments
What Success Looks Like
- Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms
- Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products
- Secure and scalable AI-ready cloud platforms
- Strong automation and governance across cloud and AI systems
Google AnalyticsAbout Zolvit
Zolvit is India’s leading legal, tax, and compliance platform, serving thousands of SMEs, professionals, and enterprise clients. We are transforming how businesses meet their compliance needs by blending automation, expert guidance, and high-quality legal research.
About the Role:
We are looking for a results-driven Digital Marketing Specialist to join our growing team. The ideal candidate will have hands-on experience in SEO backlink building, marketing automation, and digital campaign execution. You will play a key role in improving our online visibility, driving qualified traffic, and nurturing leads through automated workflows.
Key Responsibilities:
• Plan and execute high-quality backlink acquisition strategies (guest posting, blogger outreach, broken link building, etc.)
• Manage and optimize marketing automation workflows (emails, lead scoring, drip campaigns, retargeting)
• Work with SEO tools (Ahrefs, SEMrush, Moz, etc.) to monitor and improve link-building performance
• Collaborate with content and design teams to develop link-worthy content assets
• Set up and manage campaigns using tools like HubSpot, Mailchimp, ActiveCampaign, or similar
• Track KPIs and generate weekly/monthly performance reports
• Stay updated on SEO and marketing automation trends and algorithm updates.
Requirements:
• 3+ years of experience in digital marketing with a focus on SEO/backlinks and marketing automation
• Strong knowledge of white-hat link-building techniques
• Hands-on experience with automation tools like HubSpot, Mailchimp, or similar
• Familiarity with Google Analytics, Google Search Console, and tag management tools
• Excellent written communication skills for outreach and campaign content
• Self-starter with strong organizational and time management skills.
Preferred Qualifications:
• Experience in B2B marketing or SaaS is a plus
• Certification in SEO, Google Ads, or Marketing Automation tools
Kubernetes
Docker
JenkinsAs a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
Job description
Role: SFCC Admin/ Support
- Minimum 5+ years of experience in real-world eCommerce experience (like WCS, HCL, Adobe, SAP Hybris, AEM, etc.) with at least 2 years of hands-on with Salesforce commerce cloud
Required Skills:
- Strong technical experience in production support with SFCC.
- Extensive knowledge in SFCC Business Manager configuration
- Extensive experience in SFCC Script and template development
- Excellent troubleshooting skills within the SFCC environment
- Working knowledge of version control systems and cloud platforms (Git, GitHub, BitBucket, Jenkins, JIRA, Confluence)
- Should create high-quality technical architecture and design that includes an appropriate level of detail and consider scalability and performance of the system
- Must understand eCommerce architecture, product, order, and inventory flows in order to create detailed designs, and architectural documents and develop complex applications. • Should have knowledge of third-party integration like Payment Processing/Tax Solutions/Products & Ratings/Product Feeds
- Good/working knowledge of Web Services, JSON, JavaScript, XML, AJAX, CSS, jQuery, and UI frameworks for implementation of SFCC solutions
- Excellent problem-solving capabilities and analytical skills
React Native
Javascript
HTML/CSSWe are hiring for React Native Developers for an MNC,
Experience- 4+ Yrs.
Salary- As per company standard
Notice Period- Immediate to 20 Days Max
Required Skills:
- Proven development experience on smartphone platforms.
- Hands-on experience on React Native Framework, including React JS, React Native, and JavaScript.
- Extensive programming experience with at least one programming language such as Swift, Java, JavaScript.
- Deep familiarity with iOS or Android development.
- Familiarity with RESTful APIs
- Familiarity with code versioning and CI/CD tools like Git, SVM, Jenkins.
- Must have worked on at least one app that is published in AppStores.
Thanks & REgards
Surabhi
About:
Pangolin is a brand consultancy and creative agency. We help companies create positive change in the world by raising awareness through branding and inspiring through storytelling. We’re growing our team of creatives and strategists. Join us if you’re craving work that makes a real difference in the world, and a work culture that allows you to have a balanced life.
Role:
B2B Marketing Generalist
Description:
This role will be a mix of client management and project management. You’ll be expected to understand the client’s goals, weekly and monthly SLAs, and lead a team to delivery. Have you worked with marketing and sales teams in an integrated manner and targeted enterprise clients in different geographies across the globe? Do you understand enterprise sales cycles, buying processes, different roles? Do you have exposure to different domains, industries, marketing, and sales technologies? Do you understand the big picture better than the details? This job might be for you!
Competencies:
- Able to multitask independently with minimal supervision
- Naturally able to think critically and take independent decisions
- Meticulous with project documentation
Skills:
- Experience with social media, digital marketing, marketing automation, CRM, and marketing analytics tools
- Highly proficient with Microsoft Office (Excel, PowerPoint)
- Experience with agile project planning and management will be a plus
Experience:
- Demonstrable B2B GTM experience that includes SEO/SEM, email marketing, social media, and/or display advertising campaigns.
- Highly creative with experience in identifying target audiences and devising marketing campaigns that engage, inform, and motivate.
- Ability to write/execute creative and project briefs and communicate technical info with ease.
Location and Type:
Remote, Full-time
Evaluation:
Portfolio will be checked for expertise on handling marketing communication and campaigns in the B2B domain. Please share only samples of work done by yourself end-to-end. Shortlisting will be followed by a video interview.
- 5+ years of experience in Healthcare domain
- To understand the problem statements which includes Change Requests
- To closely interact with Clients, Design and Development Team Members and Testing team
- Good Communications in English
- Should be familiar to Agile methodologies
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