Tech Support Engineer

Dot Net Full Stack Developer

Job Overview

We are seeking a skilled .NET Developer who can design, develop, and maintain both conventional .NET applications and modern cloud-ready solutions. The ideal candidate will have expertise in Microsoft SQL Server, Azure DevOps CI/CD, Azure AD-based SSO, and integration with enterprise applications using MuleSoft APIs. The role also involves modernizing legacy applications, migrating to Azure Cloud, and building responsive web applications using Razor Pages, Bootstrap, and jQuery, as well as modern alternatives like Blazor, Tailwind CSS, and React/Angular.

Responsibilities:

• Develop and maintain .NET Framework (4.x) and .NET 9 applications.
• Build responsive web applications using Razor Pages, Bootstrap v5.3.3, and jQuery 3.7.1.
• Document functionalities through reverse engineering and through communication with other developers. Draw architecture diagrams, and maintain application documentation
• Design and optimize SQL Server schemas, stored procedures, and queries.
• Integrate .NET applications with enterprise systems via MuleSoft APIs.
• Implement Single Sign-On (SSO) using Azure Active Directory.
• Design and maintain CI/CD pipelines using Azure DevOps.
• Migrate legacy .NET Framework apps to .NET 9 and deploy to Azure.
• Implement containerization using Docker and orchestration with Kubernetes.
• Ensure application security, scalability, and performance optimization.
• Collaborate with architects, QA, and business teams in agile environments.
• Develop and enhance software products mainly located in the European geography, and thus ability to support during CET timezone is must.

Required Framework & Technologies

• .NET Framework (4.x) and .NET 9
• C# programming language
• ASP.NET MVC, ASP.NET Core, Razor Pages
• Bootstrap CSS Framework v5.3.3
• jQuery 3.7.1
• Modern Alternatives: Blazor (Server/WebAssembly), Tailwind CSS, React, Angular
• Entity Framework Core, LINQ, Dapper
• Microsoft SQL Server (T-SQL, Stored Procedures, Performance Tuning)
• MuleSoft API Integration
• Azure Active Directory (SSO, OAuth, JWT)
• Azure DevOps (CI/CD pipelines, Release Management)
• Git, YAML pipelines
• Azure App Services, Azure Functions, Azure Kubernetes Service (AKS)
• Docker, Kubernetes
• Application Insights, Azure Monitor

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Strong proficiency in C# and .NET technologies including .NET 9.
• Experience with Razor Pages, Bootstrap, and jQuery for front-end development.
• Familiarity with modern alternatives like Blazor, Tailwind CSS, and React/Angular.
• Hands-on experience with Azure DevOps and CI/CD pipelines.
• Knowledge of Azure AD authentication and SSO implementation.
• Experience in integrating applications using MuleSoft APIs.
• Familiarity with cloud migration strategies and Azure services.

Experience

• 3+ years of experience in .NET application development.
• 2+ years of experience in Azure Cloud ecosystem and DevOps.
• Experience in migrating legacy applications to modern .NET platforms.
• Experience in containerization and orchestration (Docker, Kubernetes).

What is in it for you?

• Opportunity to work on a technically challenging and impactful product.
• Joining a values-driven, employee-centric organization that prioritizes well-being.
• Being part of a growing start-up setting new standards for employee experience while delivering breakthrough digital products.
• Exposure to an international distributed work environment with industry-leading clients.
• A Hybrid-first setup, giving you the flexibility to work from anywhere 40 percent of the time in a week.
• First-hand experience working directly with large client organizations, solving meaningful challenges (not in an “outsourced” model).
• Collaborative and supportive team environment that values empathy and camaraderie.
• Professional development and continuous learning opportunities.
• Competitive salary package and a strong emphasis on work-life balance.

Must have Skills

• .Net - 3 Years
• DevOps - 2 Years
• C Sharp - 3 Years
• .NET 9 - 3 Years
• Razor Pages - 2 Years
• ASP.NET Core - 2 Years
• ASP.NET MVC - 2 Years
• Blazor - 3 Years
• Azure DevOps - 2 Years
• Docker - 2 Years
• Kubernetes - 2 Years
• Microsoft SQL Services - 2 Years
• YAML - 3 Years
• Azure Monitor - 2 Years
• CI/CD pipeline - 2 Years

Desired Competencies (Technical/Behavioral Competency)

Must-Have

·       Strong understanding of Kafka concepts, including topics, partitions, consumers, producers, and security.

·       Experience with testing Kafka Connect, Kafka Streams, and other Kafka ecosystem components.

·       API Testing Experience

·       X-RAY and Test Automation Experience

·       Expertise with Postman/SOAP

·       Agile/JIRA/Confluence

·       Strong familiarity such as XML, JSON, CSV, Avro, etc.

·       Strong hands-on SQL, Mongo.

·       Continuous integration and automated testing.

·       Working knowledge and experience of Git.

Good-to-Have

·       Troubleshoot Kafka related issues, Strong in Kafka client configuration and troubleshooting

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Responsibility of / Expectations from the Role

1

Engage with the customer to understand the requirements, provide technical solutions, provide value added suggestions

2

Help build and manage the team of Kafka and Java developers in the near future.

Job Title : Business Development Associate 

Location : Gurgaon

Working : Work from office (WFO )

Industry : Ed Tech

Functional Area : INSIDE SALES

Shift: Day Shift / Night Shift ( optional )

Roles & Responsibilities :

The sales Representative at PlanetSpark will be responsible for assisting and guiding the right offering/course to the consumers and getting them to purchase the right learning course.

Responsibilities:

● Understanding the offerings for the students and guiding them throughout the process to choose the right option for them

● Initiating phone conversations with parents who complete the demo classes for their kids.

● Intensely following up with the prospects and closing the sales within the sales cycle.

● Diligently communicating and priming the lead through channels like email, and calls.

● Ensuring accurate and proper record-keeping of call information in electronic and digital format.

● Achieving the monthly targets while completing all the input metrics targets.

Training Period :- INR 21428 + ( Incentives )

Hiring Criteria

Skill Required - Excellent Communication 

Exp Required : 00-1Years ( fresher also welcome)

Minimum Education : Graduation

2018,2019,2020,2021,2022

• Any graduate degree    
• 4+ years of experience in the Hospitality industry in a senior Procurement role
• Ability and experience in leading a team
• Strong communication, negotiation and interpersonal skills
• Self-motivated and driven

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning