Our Client is an IT infrastructure services company, focused and specialized in delivering solutions and services on Microsoft products and technologies. They are a Microsoft partner and cloud solution provider. Our Client's objective is to help small, mid-sized as well as global enterprises to transform their business by using innovation in IT, adapting to the latest technologies and using IT as an enabler for business to meet business goals and continuous growth.
With focused and experienced management and a strong team of IT Infrastructure professionals, they are adding value by making IT Infrastructure a robust, agile, secure and cost-effective service to the business. As an independent IT Infrastructure company, they provide their clients with unbiased advice on how to successfully implement and manage technology to complement their business requirements.
- Generating business with Project and Managed Services
- Driving leads to closure
- Managing Accounts assigned, Upselling and Cross selling
- Knowledge of Microsoft cloud platforms offerings, services, licensing, value proposition and pricing models
- Passionate about self and organisation growth
- Good verbal and written communication skills
- Well versed in customer interactions, meetings and presentations
- Quick and self-learner
- Passionate about technology and its use
- Embrace Challenges and a smart worker
- Team Player, sincere, honest and responsible
Shubham Vishwakarma
Full Stack Developer - Averlon
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Description
🚀 We’re Hiring: SEO Intern
📍 Honeybee Digital | Online Internship
Are you curious about how websites rank on Google? Love keywords, analytics, and growth strategies? Honeybee Digital is looking for an SEO intern who’s eager to learn, experiment, and grow in the world of search engine optimization.
🐝 About Honeybee Digital
Honeybee Digital is a growing digital solutions company based in Gandhinagar, Gujarat, specializing in digital marketing, website design & development, and SEO.
We’ve successfully delivered 50+ projects for clients worldwide.
🌐 Website: www.honeybeedigital.com
📌 Internship Details
Job Title: SEO Intern
Location: Online
Internship Duration: 3 Months
⏰ Working Hours:
• Full-time: 9:00 AM – 6:00 PM
• Part-time: 9:00 AM – 1:00 PM / 1:00 PM – 6:00 PM
💰 Stipend:
• 3-month internship: Unpaid
📄 Note: Internship certificate will be provided only after successful completion of the internship duration.
💼 Role Overview
As an SEO intern, you’ll work on live projects and assist in improving website visibility, rankings, and organic traffic using ethical and data-driven SEO strategies.
🔑 Key Responsibilities
• Perform keyword research and competitor analysis
• Assist in on-page SEO (meta tags, headings, content optimization)
• Support off-page SEO activities (link building, outreach basics)
• Monitor website performance using tools like Google Analytics & Search Console
• Assist in SEO audits and reporting
• Collaborate with content, web, and marketing teams
• Stay updated with SEO trends and algorithm changes
✅ Requirements
• Basic understanding of SEO concepts
• Interest in digital marketing & analytics
• Familiarity with Google tools is a plus
• Strong analytical and research skills
• Willingness to learn and accept feedback
🎯 What You’ll Gain
• Hands-on SEO experience on live projects
• Keyword research & ranking strategies
• Technical & on-page SEO exposure
• Real-world digital marketing workflows
• Strong portfolio-building experience
👥 Who Can Apply
• Students pursuing Marketing, IT, or related fields
• Freshers interested in SEO & digital marketing
• Anyone looking to build a career in search marketing
Kickstart your SEO career with real industry exposure!
Java
Spring BootWe are looking for a 𝐒𝐞𝐧𝐢𝐨𝐫 𝐉𝐚𝐯𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 who is passionate about 𝐝𝐞𝐞𝐩 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐢𝐜 𝐩𝐫𝐨𝐛𝐥𝐞𝐦-𝐬𝐨𝐥𝐯𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐡𝐢𝐠𝐡-𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 at scale.
This role is 𝐧𝐨𝐭 about basic API development or framework-heavy work. You will be part of the 𝐜𝐨𝐫𝐞 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐭𝐞𝐚𝐦, working close to the heart of the product where 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞, 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐜𝐨𝐫𝐫𝐞𝐜𝐭𝐧𝐞𝐬𝐬 𝐭𝐫𝐮𝐥𝐲 𝐦𝐚𝐭𝐭𝐞𝐫.
𝐖𝐡𝐚𝐭 𝐘𝐨𝐮’𝐥𝐥 𝐃𝐨
▪️ Design and build 𝐡𝐢𝐠𝐡-𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 that operate reliably under heavy load
▪️Develop and implement 𝐜𝐮𝐬𝐭𝐨𝐦 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬 for complex, real-world business problems
▪️Identify and resolve 𝐂𝐏𝐔, 𝐦𝐞𝐦𝐨𝐫𝐲, 𝐈/𝐎, 𝐚𝐧𝐝 𝐜𝐨𝐧𝐜𝐮𝐫𝐫𝐞𝐧𝐜𝐲 𝐛𝐨𝐭𝐭𝐥𝐞𝐧𝐞𝐜𝐤𝐬
▪️Build backend services where 𝐥𝐚𝐭𝐞𝐧𝐜𝐲, 𝐭𝐡𝐫𝐨𝐮𝐠𝐡𝐩𝐮𝐭, 𝐚𝐧𝐝 𝐫𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 are critical
▪️Own 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭 & 𝐏𝐃𝐅 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 end-to-end, including:
- Composition
- Rendering
- Optimization
- High-volume document generation
▪️Make 𝐬𝐭𝐫𝐨𝐧𝐠 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 and take ownership of backend architecture
▪️Mentor engineers by setting 𝐡𝐢𝐠𝐡 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐬𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬 𝐚𝐧𝐝 𝐛𝐞𝐬𝐭 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬
𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞
▪️𝟓 𝐭𝐨 𝟏𝟎+ years of strong backend engineering experience
▪️Excellent expertise in 𝐂𝐨𝐫𝐞 𝐉𝐚𝐯𝐚 (𝐉𝐚𝐯𝐚 𝟖+) 𝐚𝐧𝐝 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭
▪️Strong knowledge of:
- Data Structures & Algorithms
- Multithreading and concurrency
- JVM internals and memory management
▪️ Proven experience designing 𝐜𝐮𝐬𝐭𝐨𝐦 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬
▪️Deep backend experience 𝐮𝐬𝐢𝐧𝐠 𝐒𝐩𝐫𝐢𝐧𝐠 / 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭
▪️Strong understanding of:
- API design principles
- Fault tolerance and resilience
- Performance tuning and profiling
▪️Ability to reason about time and space complexity
▪️Solid database fundamentals:
- Query optimization Indexing
- Transaction management
𝐖𝐡𝐚𝐭 𝐖𝐞’𝐫𝐞 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐅𝐨𝐫
Engineers who enjoy solving hard problems, not just wiring frameworks
Strong analytical thinking with a focus on trade-offs and optimizations
High ownership mindset with attention to performance and maintainability
📩 Interested candidates can apply
Direct Selling and Target Based (Field Sales/Out Side Sales).
Prepare and follow up on sales quotations made to clients.
Will be responsible for client retention, per client revenue optimization & renewals.
Handle client queries/escalations.
Should have effective sales & negotiation ability.
Interacting with vendors for product upload in their respective Domain.
JavaTECHNICAL MANAGER
Department: Product Engineering Location: Noida/Chennai
Experience: 12+ years with 2+ years in a similar role
Job Summary:
We are looking for an inspiring leader to lead a dynamic R&D team with a strong “Product & Customer” spirit. As an Engineering Manager, you will be responsible for the entire process, from design and specification to code quality, process integration and delivery performance
Key Responsibilities:
•
Collaborate closely with Product Management teams to design and develop business modules.
•
As a manager, coordinate a diverse team and ensure collaboration between different departments. Empathetic and fair yet demanding management with particular attention to operational excellence.
•
Actively participate in resolving technical issues and challenges that the team encounters during development and escalated client implementation and production issues
•
Anticipate technical challenges and work to address them proactively to minimize disruptions to the development process. Guides the team in making architectural choices
•
Promote and advocate for best practices in software development, including coding standards, testing practices, and documentation.
•
Make informed decisions on technical trade-offs and communicate those decisions to the team and stakeholders.
•
Be on top of critical client/ implementation issues and keep stakeholders informed.
PROFILE
•
Good proficiency overlaps with technologies like: Java17, Spring, SpringMVC, RESTful web services, Hibernate, RDBMS, Spring Security, Ansible, Docker, Kubernetes, JMeter, Angular.
•
Strong experience in development tools, CI/CD pipelines. Extensive experience with Agile.
•
Deep understanding of cloud technologies on at least one of the cloud platforms AWS, Azure or Google Cloud
•
Strong communicator with ability to collaborate cross-functionally, build relationships, and achieve broader organizational goals.
•
Proven leadership skills
•
Product development experience preferred. Fintech or lending domain experience is a plus.
•
Engineering degree or equivalent.
Data Science
Machine Learning (ML)Job Description
We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.
What You’ll Do will include (But not limited to):
- Preparing datasets needed to train and validate our machine learning models
- Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
- Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
- Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
- Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
- Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
- Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
- Supporting solutions ranging from rule-bases, classical ML techniques to the latest deep learning systems.
- Partnering with cross-functional team members to bring large scale data engineering solutions to production
- Communicating your approach and results to a wider audience through presentations
Your Qualifications:
- Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
- Good knowledge of traditional machine learning methods and neural networks
- Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
- Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
- Ability to implement data import, cleansing and transformation functions at scale
- Fluency in Docker, Kubernetes
- Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
- Solid English skills to effectively communicate with other team members
Due to the nature of the role, it would be nice if you have also:
- Experience with large datasets and distributed computing, especially with the Google Cloud Platform
- Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
- Experience with No–SQL and Graph databases
- Experience working in a Colab, Jupyter, or Python notebook environment
- Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
- Knowledge of Java, Scala or Go-Lang programming languages
- Familiarity with KubeFlow
- Experience with transformers, for example the Hugging Face libraries
- Experience with OpenCV
About Egnyte
In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com
#LI-Remote
Data Analytics
Kubernetes
PythonJob Description
We are looking for an experienced engineer with superb technical skills. Primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions.
Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.
Skills
- Bachelors/Masters/Phd in CS or equivalent industry experience
- Demonstrated expertise of building and shipping cloud native applications
- 5+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka Streams, Py Spark, and streaming databases like druid or equivalent like Hive
- Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
- Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
- 5+ Industry experience in python
- Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
- Experience with scripting languages. Python experience highly desirable. Experience in API development using Swagger
- Implementing automated testing platforms and unit tests
- Proficient understanding of code versioning tools, such as Git
- Familiarity with continuous integration, Jenkins
Responsibilities
- Architect, Design and Implement Large scale data processing pipelines using Kafka Streams, PySpark, Fluentd and Druid
- Create custom Operators for Kubernetes, Kubeflow
- Develop data ingestion processes and ETLs
- Assist in dev ops operations
- Design and Implement APIs
- Identify performance bottlenecks and bugs, and devise solutions to these problems
- Help maintain code quality, organization, and documentation
- Communicate with stakeholders regarding various aspects of solution.
- Mentor team members on best practices
NodeJS (Node.js)Python
Ruby- Ability to provide overall product value and differentiate support offerings that clearly map to customer needs.
- Ability to Identify and resolve gaps in customer expectations versus actual service levels.
- Assists with the creation of a sales cycle plan.
- Manage Customized project requests and handle projects till it doesn’t go live.
- Coordinate with the Technical team, Client, sales team, and delivery team for a project.
KRA – Manager Presales
- Ability to provide overall product value and differentiate support offerings that clearly map to customer needs.
- Identify and resolve gaps in customer expectations versus actual service levels.
- Lead Generation activities such as cold calling to prospects
- Assist in preparation of sales proposals, RFP, and RFI responses
- Research and develop prospect list using LinkedIn and Web research
- Create proposals, sign-off documents, and integration documents.
- Expected to be thorough with the products of the company and if there are any new developments or innovations going on.
JavaPython- Experience level of 6 to 9 years of experience in very large-scale applications.
- Strong problem-solving skills, computer science fundamentals, data structures and
- algorithms their space & time complexities
- Design (LLD & HLD) and architect technical solutions for the business problems of a very large-scale portal.
- Strong hands-on and practical working experience with Java as the programming language
- Strong debugging skills - Code, Logs, DB, JVM
- Excellent coding skills - should be able to convert design into code fluently.
- Hands-on experience working with Databases and Linux platform
React Native
React.jsFamiliarity with cordova and reactjs.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon