11+ Open Source Contribution Jobs in Pune | Open Source Contribution Job openings in Pune

ABOUT US.

Established in 2009, Ashnik is a leading open-source solutions and consulting company in South East Asia and India, headquartered in Singapore. We enable digital transformation for large enterprises through our design, architecting, and solution skills. Over 100 large enterprises in the region have acknowledged our expertise in delivering solutions using key open-source technologies. Our offerings form critical part of Digital transformation, Big Data platform, Cloud and Web acceleration and IT modernization. We represent EDB, Pentaho, Docker, Couchbase, MongoDB, Elastic, NGINX, Sysdig, Redis Labs, Confluent, and HashiCorp as their key partners in the region. Our team members bring decades of experience in delivering confidence to enterprises in adopting open source software and are known for their thought leadership.

As a team culture, Ashnik is a family for its team members. Each member brings in different perspective, new ideas and diverse background. Yet we all together strive for one goal – to deliver best solutions to our customers using open source software. We passionately believe in the power of collaboration. Through an open platform of idea exchange, we create vibrant environment for growth and excellence.

THE POSITION

Ashnik is looking for talented and passionate people to be part of the team for an upcoming project at client location.

QUALIFICATION AND EXPERIENCE

• Preferably have a working experience of 4 Years and more , on production PostgreSQL DBs.
• Experience of working in a production support environment
• Engineering or Equivalent degree
• Passion for open-source technologies is desired

ADDITIONAL SKILLS

• Install & Configure PostgreSQL, Enterprise DB
• Technical capabilities PostgreSQL 9.x, 10.x, 11.x
• Server tuning
• Troubleshooting of Database issues
• Linux Shell Scripting
• Install, Configure and maintain Fail Over mechanism
• Backup - Restoration, Point in time database recovery
• A demonstrable ability to articulate and sell the benefits of modern platforms, software and technologies.
• A real passion for being curious and a continuous learner. You are someone that invests in yourself as much as you invest in your professional relationships.

RESPONSIBILITIES

• Monitoring database performance
• Optimizing Queries and handle escalations
• Analyse and assess the impact and risk of low to medium risk changes on high profile production databases
• Implement security features
• DR implementation and switch over

LOCATION: Pune

Experience: 8 yrs plus

Package: upto 17 LPA

Job description:

• Hands on skills in Java programming languages
• Experience of testing of Cloud Native applications with exposure of Kafka.
• Understanding the concepts of K8, Caching, Rest / GRPC and Observability
• Experience with good programming or scripting practices and tools: code review, ADO/Jenkin etc
• Apply expertise in Java, API Testing, Cucumber or other test frameworks to design, develop and maintain automation test suites.
• Intimate familiarity with QA concepts: white-/black-/grey-box testing, acceptance/regression test, system integration test, performance/stress test, and security tests

Shift: 11 am to 8 pm

Hands on skills on the following technologies:

• Kafka Streams
• CassandraDB
• MS SQL SERVER
• Liquibase
• Maven, GIT, JUNITS

Mandatory skills:

• Java 17
• Spring Boot
• Spring Cloud
• Spring JPA
• Apache Kafka
• Microservices

Reactjs Developer Responsibilities:

• Meeting with the development team to discuss user interface ideas and applications.
• Reviewing application requirements and interface designs.
• Identifying web-based user interactions.
• Developing and implementing highly responsive user interface components using react concepts.
• Writing application interface codes using JavaScript following react.js workflows.
• Troubleshooting interface software and debugging application codes.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.
• Documenting application changes and developing updates.

Reactjs Developer Requirements:

• Bachelor’s degree in computer science, information technology, or a similar field.
• Previous experience working as a react.js developer.
• In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
• Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
• Experience with user interface design.
• Knowledge of performance testing frameworks including Mocha and Jest.
• Experience with browser-based debugging and performance testing software.
• Excellent troubleshooting skills.
• Good project management skills.

Oddr is looking for an experienced senior backend engineer to help us build scalable multi-tenanted enterprise Cloud applications. The ideal candidate should be able to bring new ideas to the table and design and develop distributed microservices with a strong emphasis on security, resiliency, scalability, performance, and quality. As a senior engineer, the candidate should be able and willing to mentor and guide fellow team members on best practices like code styling, efficiency, and testability as the team scales and grows. The candidate should demonstrate leadership qualities, be a self-motivated team player, and take pride in what they deliver.

The candidate should be interested in a long-term stable career to grow with our company. The candidate will need to work late night hours because of the geographic distribution of the team.

Requirements:

• Strong proficiency in .NET Core and C#
• Strong understanding of Cloud development concepts, including CI/CD pipelines
• Experience with successful end-to-end delivery of web applications in the Cloud. Azure knowledge is a strong plus.
• Experience with API-driven development and developing RESTful APIs
• Experience with database design and writing complex SQL
• Familiarity with Reactive Programming concepts
• Ability to write clean, well-structured code with adequate test coverage, proper abstraction, and reusability
• Ability to work to tight deadlines, manage priorities, and take responsibility for delivering to time and quality requirements
• Good understanding and experience with Agile development methodologies
• Ability to understand business requirements and translate them into technical requirements
• Excellent communication skills
• Excellent problem-solving skills

Minimum qualifications required:

• Bachelor's degree in Computer Science from a reputable institute. Master's preferred.
• 5 years of experience. 7 years preferred.

Role and Responsibilities:

1. Designing and developing test automation scripts for a web application (Angular) using test automation guidelines.
2. Performance, Security, Penetration, Vulnerability testing.
3. Build tools and frameworks to aid continuous delivery, deployment, and debugging.
4. Supporting the development team and software engineers during the development and testing phase.
5. Prepare defect reports and report test progress.

Qualifications and Requirements:

1. Experience in Automation Testing with Cypress, JavaScript, Typescript, or similar end-to-end testing tools.
2. Experience with Regression, Smoke testing, API, and Backend testing.
3. Experience with non-functional testing, performance, vulnerability testing.
4. Excellent knowledge in testing skills (design test plan and test strategy, writing and executing test cases, opening bugs, verifying bugs, etc).
5. A team player, fast learner with good interpersonal, verbal, and written communication skills.

Specialism- Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, python, decision tree, random forest, SAS, clustering classification

Senior Analytics Consultant- Responsibilities

• Understand business problem and requirements by building domain knowledge and translate to data science problem
• Conceptualize and design cutting edge data science solution to solve the data science problem, apply design thinking concepts
• Identify the right algorithms , tech stack , sample outputs required to efficiently adder the end need
• Prototype and experiment the solution to successfully demonstrate the value
  Independently or with support from team execute the conceptualized solution as per plan by following project management guidelines
• Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization
• Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development , practice development initiatives

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

Build reusable APIs for our client-facing apps in Node.js

Create and maintain scalable infrastructure leveraging modern cloud platforms Write tests and documentation as you implement features with your team Maintain expertise in current and emerging technologies and tools

4+ years’ Experience with NodeJS

BS degree or higher in Computer Science or Engineering Experience documenting and testing RESTful APIs

Experience working with databases in PostgreSQL, MongoDB or Redis

Experience and enthusiasm for working collaboratively with others in an Agile environment