Customer Success & Support (US & Latin America)

Java/Python Developer(60% Java - 40% Python) - Mid Level Hands On Strong Developer

- 3 Years to 5 Years - Level 2

- 5 Years to 7 Years - Level 3

Location - Mumbai Commerz3 Office Only

He/She candidate must possess a strong technology background with advanced knowledge of Java

and Python based technology stack.

Java, J2EE, Spring MVC, Python, JPA, Spring Boot, REST API, Database, Playwright, CI/CD pipelines

. At least 3 years of Hand-on Java EE and Core Java experience with strong leadership qualities.

. Experience with Web Service development, REST and Services Oriented Architecture.

. Expertise in Object Oriented Design, Design patterns, Architecture and Application Integration.

· Working knowledge of Databases including Design, SQL proficiency.

. Strong experience with frameworks used for development and automated testing like SpringBoot, Junit, BDD etc.

. Experience with Unix/Linux Operating System and Basic Linux Commands.

. Strong development skills with ability to understand technical design and translate the same into workable solution.

. Basic knowledge of Python and Hand-on experience on Python scripting

. Build, deploy, and monitor applications using CI/CD pipelines.

Qualifications & Experience: -

• Must have a bachelor’s degree in computer science or a related field (or equivalent degree and experience).
• 2+ years providing customer-facing technical support (ITOM applications).
• Good Communication Skills.

To be successful in this role, we need someone who has:

• Ability to comprehend, modify server-side object-oriented JavaScript, Unix Shell scripting and Windows scripting and PowerShell.
• Ability in server administration across OS platforms (Windows/Unix). Including understanding of user permission levels, domain configuration, group policy objects and execution of SUDO Policies.
• Understanding of protocols such as HTTP, TCP, FTP/SFTP, SOAP and REST, Experience with troubleshooting tools such as Wireshark, Traceroute.
• Strong troubleshooting/root cause isolation skills
• Demonstrated creative problem-solving approach and strong analytical skills
• Must be proficient with analyzing log files and standard debugging concepts.
• Familiarity with tools & practices of the trade such as incident management, knowledge base, defect & escalation management.
• Excellent communication skills (verbal and written).

Preferred: - 

• Solid understanding of object-oriented programming skills (Java strongly preferred)
• A fundamental understanding of ITOM, CMDB and ITIL business process. 
• Experience providing web development support is highly desirable.
• Previous experience working with the ServiceNow platform (Asset Management, Orchestration, Discovery, Mid Server, BSM Map & Service Mapping).
• Understanding of JavaScript or any other scripting language with logical approach for given problem statement.
• Previous experience in software development(or) software consulting.
• Experience supporting and troubleshooting infrastructure level issues.

We are looking for a motivated professional who is responsible for performing software verification of Web Application as per the defined standards & procedures.

Skill Set

Primary

• Development and testing of Hardware interfaces & Embedded Software applications.

• Development and testing of network interfaces like Wi-Fi, Bluetooth, Ethernet, USB etc.

• Understand software requirements and architecture specifications to perform testing

activities like authoring of scripts and writing manual test case, execution & creating test reports etc.

• Automation testing experience in Linux embedded application, Linux device drivers, API testing and testing networking tools and utilities.

• Candidate should have good experience in testing of Web Application and Websites

• Hands-on experience in providing innovative solutions to Automate Web/Windows/iOS applications.

• Extensive experience with Test Automation tools such as Selenium, VSTS Coded UI.

• Working knowledge of software IDEs and debugging tools (i.e., Visual Studio/.NET etc.)

• Hands on experience in developing Test Automation Harnesses/Tools

• Proficient in different scripting languages such as Perl, Python, PowerShell.

• Good knowledge in testing windows .NET embedded applications and API testing.

• Conduct code reviews, with constant quality code review feedback for the code written by software developers.

• Well versed with Cloud architecture and deployment with Microsoft Azure (preferred) / Amazon Web Services.

• Well versed with Testing/QA concepts with good knowledge of Manual Testing is must.

• Strong analytical skills to be able to translate from system requirements and use cases to detailed test cases.

• Familiar with setting up of test environment for V&V activities.

• Good knowledge in Databases and constructing SQL commands.

• Collaborate with developers and QA leads to improve testability, automation, and tools.

• Participate in Test Planning, system test strategy, methodology, and creation of system integration test cases and make them traceable back to the system requirements, feature lists and design documents.

Additional

• Good knowledge in Data Analytics Testing

• Plan test schedules or strategies in accordance with project scope or delivery dates.

• Prior experience of Performance or Security testing will be a plus.

• Prior experience of designing fixtures to test hardware integration will be a big plus.

• Prior Experience with managing big documentation to meet FDA or regulatory requirement will be a plus

Soft Skills

• Excellent documentation and Written/Verbal communication skills.

• Must be flexible, independent and self-motivated
  
  
  

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