Job Description:
Kapiva is seeking an experienced Graphic Designer to join our creative team. This role presents an exciting opportunity for a skilled individual with 2-3 years of experience in graphic design who is passionate about creating visually stunning designs that captivate audiences and drive engagement.
Responsibilities:
1. Collaborate with the marketing team to conceptualise and execute compelling designs for a wide range of marketing materials, including digital and print assets, social media graphics, email campaigns, advertisements, packaging, and promotional materials.
2. Lead the design process from concept to completion, translating marketing objectives and brand guidelines into visually impactful designs that effectively communicate key messages and enhance brand identity.
3. Utilise advanced graphic design software and tools, such as Adobe Creative Suite (Photoshop, Illustrator, InDesign), to produce high-quality designs with meticulous attention to detail and pixel-perfect accuracy.
4. Stay informed about industry trends, design best practices, and emerging technologies, continuously seeking opportunities to innovate and elevate the quality of design work produced by the team.
5. Manage multiple projects simultaneously, prioritise tasks effectively, and meet deadlines in a fast-paced, deadline-driven environment while maintaining a high standard of quality and creativity.
Requirements:
1. Bachelor's degree or equivalent in graphic design, visual communications, or related field.
2. 2-3 years of professional experience in graphic design, with a strong portfolio showcasing a diverse range of design projects and styles.
3. Proficiency in graphic design software, particularly Adobe Creative Suite (Photoshop, Illustrator, InDesign), and familiarity with video editing software (e.g., Adobe Premiere Pro, After Effects).
4. Excellent design skills, including a keen eye for typography, layout, composition, and colour theory, demonstrated through past work examples.
5. Strong conceptual thinking and problem-solving abilities, with the ability to translate abstract ideas into visually compelling designs that resonate with target audiences.
6. Effective communication and collaboration skills, with the ability to articulate design concepts and ideas clearly and work collaboratively with cross-functional teams.
7. Detail-oriented approach to work, with a commitment to delivering high-quality designs that meet project objectives and exceed client expectations.
Shubham Vishwakarma
Full Stack Developer - Averlon
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About the Role
The Smart Operations (Smart Ops) division is seeking a seasoned Senior Data Engineer / Lead Data Engineer to design and scale our next-generation industrial data platform. In this role, you will architect the real-time data backbone that processes high-frequency iHistorian telemetry, IoT sensor feeds, and complex manufacturing data across global operations.
You will be the core technical owner of our Databricks Lakehouse ecosystem, responsible for building optimized, cost-efficient streaming and batch pipelines that deliver high-trust data to our Advanced Analytics, MLOps, and Business Intelligence teams.
Key Responsibilities
- End-to-End Lakehouse Architecture: Design, implement, and scale a robust Medallion Architecture (Bronze-Silver-Gold) on Azure Databricks and Delta Lake.
- Real-Time IoT Ingestion: Build fault-tolerant, low-latency streaming pipelines to ingest high-frequency telemetry and machine sensor data.
- Enterprise Governance: Enforce data security, fine-grained access controls, and comprehensive lineage tracking using Unity Catalog.
- Performance Tuning & Cost Optimization: Actively profile, tune, and optimize Spark workloads (utilizing partitioning, liquid clustering, AQE, and Photon) to drastically minimize cloud compute costs and pipeline runtimes.
- CI/CD Automation: Modernize data platform deployments across Dev/QA/Prod environments using Infrastructure as Code (IaC) and Databricks Asset Bundles (DABs).
- Cross-Functional Collaboration: Partner closely with manufacturing stakeholders, supply chain analysts, and data scientists to provide curated datasets for predictive maintenance, anomaly detection, and operational KPI reporting.
Technical Skills Breakdown
Mandatory Skills (Must-Haves)
- Domain Context: Minimum 5+ years of Data Engineering experience with direct exposure to Heavy Manufacturing, Automotive/Commercial Vehicles, Industrial Automation, or Global Logistics data environments.
- Databricks Ecosystem: Deep architectural mastery of Azure Databricks, PySpark, Spark SQL, Delta Lake, and Unity Catalog governance.
- Streaming & CDC: Proven hands-on experience engineering real-time data pipelines using Apache Kafka, Azure Event Hubs, or Spark Structured Streaming, alongside Change Data Capture (CDC) tools (e.g., Debezium).
- Cloud Infrastructure: Strong proficiency within the Microsoft Azure stack—specifically Azure Data Factory (ADF), Azure Data Lake Storage Gen2 (ADLS Cores), Azure Key Vault, and Azure Monitor.
- Advanced SQL & Python: Expert-level Python programming and complex SQL optimisation (advanced indexing, partition pruning, performance tuning of massive datasets).
- DevOps Automation: Hands-on experience setting up production CI/CD pipelines using Git, Azure DevOps, GitHub Actions, or Databricks Asset Bundles (DABs).
Good to Have Skills (Nice-to-Haves)
- Professional Certifications: Databricks Certified Data Engineer Professional (highly preferred), Databricks Certified Associate Developer for Apache Spark, or Microsoft Certified: Azure Data Engineer Associate (DP-203).
- Industrial & ERP Systems: Familiarity with industrial data systems (SCADA, PLC, iHistorian), heavy vehicle telemetry standards (MDF/MF4 files), or deep integration experience with enterprise ERPs (SAP S/4HANA, SAP BW).
- MLOps & GenAI: Exposure to working alongside Machine Learning pipelines, dataset feature engineering, or implementing Generative AI frameworks (RAG, Vector Databases like FAISS/Weaviate) for semantic query self-service.
- Infrastructure as Code (IaC): Basic proficiency with Terraform for provisioning cloud data infrastructure.
Education & Qualifications
• Bachelor’s or Master’s Degree in Computer Science, Information Technology, Electrical/Electronics Engineering, or a closely related technical field.
We are seeking a dynamic and detail-oriented HR Recruiter to manage our end-to-end recruitment process. The ideal candidate will have a strong understanding of talent acquisition strategies, excellent interpersonal skills, and the ability to build relationships with both candidates and hiring managers.
Key Responsibilities
- Manage the full recruitment life cycle, from job posting to onboarding.
- Partner with hiring managers to identify staffing needs and develop job descriptions.
- Source potential candidates through online channels (e.g., LinkedIn, job boards, social media).
- Screen resumes, conduct interviews, and assess candidates’ qualifications.
- Coordinate and schedule interviews between candidates and hiring teams.
- Maintain candidate databases and recruitment reports.
- Build a talent pipeline for current and future hiring needs.
- Ensure a positive candidate experience throughout the hiring process.
- Stay updated on industry trends and best recruitment practices.
- Ensure compliance with labor laws and internal policies during recruitment.
.NET• Strong hands-on experience with .NET Core based Web API, C#, LINQ, Entity framework.
• Strong hands-on experience on writing complex stored procedures, functions, creating views and writing complex database queries with database being SQL Server
• Nice to have: Working experience on Azure components such as Azure functions, App Services, Azure Storage such as blobs/Queues/Table storage etc., Azure DevOps, CI/CD pipelines
• Strong understanding of object-oriented programming
• Familiar with various design and architectural patterns
• Proficient understanding of code versioning tools like GIT
Machine Learning (ML)
Data ScienceJob description
Who we are looking for
· A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.
Roles and Responsibilities
· Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
· Mentor and coach other team members
· Evaluate the performance of NLP models and ideate on how they can be improved
· Support internal and external NLP-facing APIs
· Keep up to date on current research around NLP, Machine Learning and Deep Learning
Mandatory Requirements
· Any graduation with at least 2 years of demonstrated experience as a Data Scientist.
Behavioural Skills
· Strong analytical and problem-solving capabilities.
· Proven ability to multi-task and deliver results within tight time frames
· Must have strong verbal and written communication skills
· Strong listening skills and eagerness to learn
· Strong attention to detail and the ability to work efficiently in a team as well as individually
Technical Skills
Hands-on experience with
· NLP
· Deep Learning
· Machine Learning
· Python
· Bert
Preferred Requirements
· Experience in Computer Vision is preferred
ROLE MISSION (WHY THE POSITION EXISTS)
Responsible for managing the MD’s calendar, prepares any notes for the meetings, fixes appointments with visitors, internal staff, etc.
Prioritizes and follows up on concerns addressed to the MD, including those marked sensitive or confidential nature. Follows course of action as recommended by MD.
Drafting acknowledgement letters, personal correspondence, and other tasks that facilitate the MDs ability to perform his/her duties
Making transport and travel arrangements and preparing expense reports for the MD
Coordinates internally with internal departments and acts as a point of contact between internal and external employees, vendors, external clients and guests
Arranging minutes of meetings, conferences, Board meetings
Filing all important documents, correspondence for the MD’s office
Responsible for regular monthly reports as required by the Management
Coordinates with external organizations, as required
AREAS OF RESPONSIBILITY
Administrative Responsibilities:
- Responsible for calendar management, scheduling appointments and meetings
- Making transport and travel arrangements for the MD
- Be the point of contact to answers queries and providing
information related to the MD’s office
- Develop presentations as required by the MD
- Handles all correspondence for the MD’s office and prepare
responses and filing all important documents
- Manage information flow in a timely and accurate manner
- Delegating tasks assigned by MD to staff and follow up of status of all tasks assigned
- Collating MIS from all departments on a timely basis
- Handle confidential information in a sensitive manner
JOB SPECIFICATIONS
Education:
Bachelor of Commerce / Arts
MBA (Optional)
Job Related Experience:
6-8 years of work experience in administration with minimum 3 experience as a Executive Assistant to a Management role
Excellent computer proficiency required
Business Understanding:
Hospital Management
Others:
Excellent English Communication (Written and Verbal)
Excellent Presentation Skills
Java
Spring BootJob Role & Responsibility:
VMWare NSBU HCX team is looking for passionate engineers with a startup mindset and ready to solve business problems by applying technical engineering knowledge. You will be a part of enterprise class HCX cloud mobility platform to help customers solve datacenter evacuation, consolidation and hybrid cloud use cases. You’ll be part of a dynamic engineering team where a passion for innovation is a key to address technical problems, improve performance and scalability and focus on continuous improvement is of paramount importance. You will be a part of R&D development team focused on various aspects of HCX ranging from workload mobility to networking in the context of hybrid cloud paradigm. As part of the job, you will work with senior architects and other engineers of the team to deliver world class enterprise class product.
Required Skills:
- Background with Computer Science fundamentals (based on a BS or MS in CS or related field) with 4+ years of substantial professional experience
- Strong programming skills in Java/Go/Python
- Knowledge of distributed systems
- Understanding of Micro Services architecture, REST APIs Design and Development
- Understanding of Kubernetes, Kafka, No-sql, Java/Sprint, Client MVC
- Exposure to one or more UI technologies
- Organized and passionate about details; able to effectively perform multiple/concurrent tasks within deadlines in a dynamic environment
Preferred Skills:
- Strong knowledge about virtualization, and/or container technologies
- Experience in SDN/Networking/Network Management domain is added plus
- Exposure to AWS, Azure is added plus
.NET
Angular (2+)
Qualification Required -
- Total of 8-12 years- experience building cutting edge products. Experience in building very large scale applications and 2 + years- experience in people management
- Strong understanding of object-oriented programming, concurrency and fundamentals of computer-science.
You are an ideal candidate if you prefer to work on Python and have-
- Experience in building and operating web-based applications.
- Experience in managing an engineering team.
- Proven ability in system design/architecture and building scalable systems and teams.
- Ability to architect, design and code, instill and follow good software development practices and ensure timely delivery of high-quality products.
- Experience in a Hyperlocal / Internet / E-Commerce environment.
- Experience with system monitoring and alerting for availability and performance.
- Previous fullstack experience in both dynamically and statically typed languages.
Also, you will be responsible for
- Working with a very talented & driven young engineering team
- Planning out and detailing features that need to be implemented with the Product Team
- Prioritizing features along with the product team and VP Engineering/CTO
- Program Managing releases-Setting up development & deployment processes and then managing them on a day to day basis
- Making sure the sense of ownership among each developer doesn- t go down. Have constant dialogue about their aspirations and sharing prompt, clear and actionable feedback about performance.
- Build the hiring roadmap and team growth strategy along with the VP engineering & the TA team.
Python
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Full Stack Developer - Averlon