
Job Title: Service Engineer – CNC Bending Machine
Location: Ahmedabad
Experience: 1–3 Years
Qualification: ITI / Diploma / Degree in Mechanical Engineering
Salary: 15k to 20k
Job Summary
We are seeking a skilled and dedicated Service Engineer (CNC Bending Machine) responsible for installation, servicing, troubleshooting, and preventive maintenance of CNC bending machines. The role involves ensuring efficient machine performance and providing timely technical support to clients.
Key Responsibilities
- Install, commission, and service CNC bending machines at client sites.
- Diagnose and resolve machine breakdowns, electrical/mechanical faults, and operational issues.
- Support customers in machine operation, programming, and application usage.
- Handle calibration and accuracy adjustments to maintain machine performance.
- Maintain service documentation, reports, and service logs.
- Coordinate with the technical team for spare parts and technical guidance.
- Provide client support through calls or site visits whenever necessary.
Required Skills & Competencies
- Strong hands-on knowledge of CNC Bending Machine working, application, programming & maintenance.
- Ability to troubleshoot hydraulic, mechanical, electrical & CNC system-related issues.
- Good communication and customer-handling skills.
- Willingness to travel for onsite service assignments.

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Hummingbird is an Adobe Commerce (Magento) Solution Partner. We design, build, and maintain world-class e-commerce solutions for businesses worldwide. Our expertise in Adobe Commerce (Magento) helps enterprises scale their online presence with secure, high-performing, and innovative digital commerce platforms.
We are looking for a Marketing Lead / Manager who will play a key role in defining and executing our e-commerce marketing strategy. This role requires a balance of creativity, analytical thinking, and executional excellence to drive brand growth, lead generation, and customer engagement.
Key Responsibilities
- Lead the development and execution of multi-channel marketing campaigns (digital, social, SEO, email, events, and partner-driven).
- Create and oversee marketing collateral, including case studies, whitepapers, brochures, video content, and presentations.
- Work closely with external marketing agencies, consultants, and creative partners to drive campaigns and branding initiatives.
- Plan and manage partner marketing, webinars, industry events, and collaborations to boost visibility and engagement.
- Support the sales and presales team with tailored proposals, presentations, and solution-driven content.
- Collect customer and market insights to refine targeting, improve conversion funnels, and generate high-quality leads.
- Track, measure, and report on the performance of marketing programs, optimising for ROI.
- Drive SEO and branding initiatives to strengthen our online presence and thought leadership.
- Ensure effective project management, tracking, and communication across multiple stakeholders and campaigns.
Qualifications
- Bachelor’s degree in Marketing, Business, or related field (MBA preferred).
- 4–10 years of experience in B2B/B2C marketing for e-commerce software, SaaS, or IT services.
- Strong expertise in digital marketing, SEO/SEM, branding, and campaign execution.
- Experience working with external agencies and consultants.
- Proven ability to manage multiple projects with excellent organisational and communication skills.
- Strong analytical skills to evaluate campaign performance and take data-driven decisions.
- Creative thinker with experience in event planning, partner collaboration, and brand building.
Must Have Skills:
1. Experience with the .NET framework and .NET Core technologies: C#
2. Writing and consuming REST API/Web API in .Net framework, .Net Core
3. Must have excellent knowledge in Azure hosting services
4. Good knowledge of Trouble shooting, Azure Hosting, maintaining and performance tuning
5. Knowledge of Frontend framework (React), If not then Angular, or Vuejs etc
6. Excellent Aptitude, Attitude and Communication Skills
7. Strong understanding of OOPS Concepts
8. Strong knowledge of Unit Testing
9. Excellent knowledge and working experience in Microservice Architecture
10. RDBMS Concepts, MS-SQL Server
11. Writing & Optimizing SQL Queries for best performance
12. Able to manage release by mean of CI/CD pipeline to deploy applications in Azure
13. Well versed of code review and code scanning tools
Good to have Skills:
1. Knowledge of HTML, Bootstrap, CSS, Responsive Design
2. Entity Framework/LINQ, MVC
3. Strong understanding of current design patterns & best practices
4. Knowledge of Agile methodology and JIRA
5. Knowledge of Electron is a plus
Key Responsibilities:
1. Work with Scrum Team to prioritize tasks and ensure deadlines are met
2. Communicate and actively participate in client call and understand requirements
3. Convert design and architecture to code using best practices
4. Provide expert level knowledge and guidance on modern software engineering techniques and methodologies for code reviews
5. Demonstrate expertise in a variety of software concepts (object-oriented design), practices (design patterns), and procedures (troubleshooting defects)
6. Able to troubleshoot and debug the code, write code with best coding practice and perform unit & Integration testing
7. Collaborate with the technical team to build and migrate applications in Azure
8. Test and update application so that it can be used for cross web browsers
9. Use and set-up CI/CD pipeline
1. Lead Generation & Outreach
- Identify and engage potential clients using Lead generation tools like Apollo and LinkedIn Sales Navigator.
- Plan and execute daily outreach campaigns to build brand visibility and initiate conversations.
- Collaborate with the digital marketing team to generate leads through Social Media platforms.
2. CRM & Data Management
- Create and automate Sales pipelines and sales life cycle.
- Upload, tag, and segment prospect data in Zoho CRM for streamlined tracking and reporting.
- Monitor inbound leads from website chatbot, form submissions, and incoming calls.
3. Follow up, Conversion & Client Engagement
- Convert qualified leads into active customers through personalized outreach and follow-ups.
- Implement structured email and call strategies to drive engagement and sales conversion.
- Share weekly performance reports.
4. Upselling & Network Expansion
- Upsell and cross-sell products to existing clients.
- Expand corporate network via LinkedIn and Meta to promote product offerings and strengthening relationships.
- Track warm leads and initiate timely, strategic follow-ups to maximize conversion potential.
Job Summary:
We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.
Responsibilities:
AI Strategy Development:
- Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
- Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.
Solution Design:
- Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
- Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
- Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.
Data Management:
- Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
- Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.
AI Model Development:
- Lead the development and deployment of AI and machine learning models.
- Implement best practices for model training, testing, and validation.
- Monitor and optimize model performance to ensure accuracy and efficiency.
Microservices Architecture:
- Define and implement microservices architecture patterns and best practices.
- Ensure that microservices are designed for scalability, flexibility, and resilience.
- Collaborate with development teams to build and deploy microservices-based applications.
Monitoring Systems:
- Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
- Implement proactive alerting and reporting mechanisms to identify and address issues promptly.
Integration and Deployment:
- Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
- Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.
Compliance and Security:
- Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
- Implement security measures to protect AI models, data, and microservices.
Stakeholder Communication:
- Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
- Translate technical concepts into non-technical language for various audiences.
Research and Innovation:
- Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
- Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.
Requirements:
- Bachelor's or Masters degree in computer science, Data Science, or a related field.
- Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
- Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
- Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
- Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
- Excellent communication and interpersonal skills.
- Ability to lead cross-functional teams and drive innovation.
- Strong problem-solving and critical-thinking abilities.
- Knowledge of regulatory requirements and data privacy standards related to AI and microservices.
Preferred Qualifications:
- AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
- Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
- Previous experience with enterprise architecture frameworks (e.g., TOGAF).
This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.
Requirement :
- Good knowledge of Java and Spring F/W (Spring Boot, Spring Security, Spring ORM, Spring Rest, Spring Cloud)
- Good knowledge of relational database design and query via both SQL and ORM (hibernate, spring data)
- Good knowledge of ElasticSearch or other document-oriented database
- Good knowledge of Microservice architecture, including REST API design
- Good knowledge of asynchronous data pipelines using Kafka or AWS SNS/SQS or similar modern messaging framework
- Good knowledge of AWS or other public cloud environment
- Hands-on experience with Redis Cache, Memcache or Ehcache
- Good knowledge of domain-driven design is a huge plus
- Web services & API standards (REST/OAuth/JSON)

- Proven hands-on Software Development experience
- Proven working experience in Java development
- Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)
- Experience in the Spring boot , hibernate Framework
Job is based out of Gandhinagar.
FE will work as a decision maker for the trucker side, where he will be entitled to take decisions regarding truck on-boarding, trip finalization, ongoing trip issues or payment related issues, etc. FE will make decisions regarding trucker side operations with taking the Admin team in confidence.
✔ During trucker on-boarding, if any of the truck owners are having more than ten numbers of trucks with the same owner; FE will have to notify the accounts department about it for taxation purposes.
✔ Any kind of internal communication from the trucker side such as communication with material side, admin team, accounts department, or any other department of the organization will be done only through FE.
✔ The same way any communications from the trucker side with individuals who are not part of an organization such as truck owners, transporters, and other stakeholders will be done under direct monitoring of FE.
✔ FE will also have to guide the executives to upload dummy truck-ads to keep the consignors engaged on our platform, but this task shall be done under strict monitoring of FE.
✔ FE will also have to guide and support the executives to finalize the trips.
✔ All the advance payments for finalized trips will be firstly verified by FE, then only he/she will communicate it to the accounts department.
✔ During the loading the process if there is any damage by the driver within the premises of the consignor, FE will have to communicate with the truck driver/owner and SME/CP to make the settlements. In such cases, the final decision will be taken by FE and SME mutually with the admin team in confidence.
✔ In the same way, if there is any damage to the material while unloading, FE will communicate regarding these with truck driver/owner and SME/CP to make settlements. In such cases, the final decision will be taken by FE and SME mutually with the admin team in confidence.
✔ In case of Payment delay or no payment conditions, FE will coordinate with SME and take decisions for trip continuity.
✔ In case of any major breakdown, accident, material/vehicle damage or seizure of vehicle/material by any authority FE will have to communicate with the truck driver/owner to continue the trip.
Your mission is to help lead team towards creating solutions that improve the way our business is run. Your knowledge of design, development, coding, testing and application programming will help your team raise their game, meeting your standards, as well as satisfying both business and functional requirements. Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems, internally and externally. Your quest to embracing leading-edge technologies and methodologies inspires your team to follow suit.
Responsibilities and Duties :
- As a Data Engineer you will be responsible for the development of data pipelines for numerous applications handling all kinds of data like structured, semi-structured &
unstructured. Having big data knowledge specially in Spark & Hive is highly preferred.
- Work in team and provide proactive technical oversight, advice development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions
Education level :
- Bachelor's degree in Computer Science or equivalent
Experience :
- Minimum 5+ years relevant experience working on production grade projects experience in hands on, end to end software development
- Expertise in application, data and infrastructure architecture disciplines
- Expert designing data integrations using ETL and other data integration patterns
- Advanced knowledge of architecture, design and business processes
Proficiency in :
- Modern programming languages like Java, Python, Scala
- Big Data technologies Hadoop, Spark, HIVE, Kafka
- Writing decently optimized SQL queries
- Orchestration and deployment tools like Airflow & Jenkins for CI/CD (Optional)
- Responsible for design and development of integration solutions with Hadoop/HDFS, Real-Time Systems, Data Warehouses, and Analytics solutions
- Knowledge of system development lifecycle methodologies, such as waterfall and AGILE.
- An understanding of data architecture and modeling practices and concepts including entity-relationship diagrams, normalization, abstraction, denormalization, dimensional
modeling, and Meta data modeling practices.
- Experience generating physical data models and the associated DDL from logical data models.
- Experience developing data models for operational, transactional, and operational reporting, including the development of or interfacing with data analysis, data mapping,
and data rationalization artifacts.
- Experience enforcing data modeling standards and procedures.
- Knowledge of web technologies, application programming languages, OLTP/OLAP technologies, data strategy disciplines, relational databases, data warehouse development and Big Data solutions.
- Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
Skills :
Must Know :
- Core big-data concepts
- Spark - PySpark/Scala
- Data integration tool like Pentaho, Nifi, SSIS, etc (at least 1)
- Handling of various file formats
- Cloud platform - AWS/Azure/GCP
- Orchestration tool - Airflow










