DevOps Engineer

A network of the world's best developers - full-time, long-term remote software jobs with better compensation and career growth.  We enable our clients to accelerate their Cloud Offering, and Capitalize on Cloud.  We have our own IOT/AI platform and we provide professional services on that platform to build custom clouds for their IOT devices.  We also build mobile apps, run 24x7 devops/site reliability engineering for our clients.

You will be working on AI/IOT cloud and responsible for architecture and ensuring the aspects such as fault tolerance and scalability.  You will lead the troubleshooting of the cloud.  We need someone who can engage in conversations about detailed technical architecture with an internal team and external customers. You will be responsible for creating architecture documents, explaining design, troubleshooting, reviewing work by others in the team, giving good guidance, and ensuring functional cloud. We are looking for a can do it attitude, and ability to deliver with high velocity and high-quality at the same time.

We use MQTT, RabbitMQ, Cassandra, MongDB, CloudFlare and backend components to build APIs. You will be working on our IOT/AI cloud platform and building/architecting/coding as well as leading other technical engineers in a team.

The primary programming language should be Python or ReactJS or NodeJS and one of them as secondary. 

This person MUST have:

• BE Computer Science, MCA or equivalent
• Cloud app development experience
• Strong Troubleshooting/Debugging experience
• Expert in RabbitMQ internals
• Experience with SQL and NOSQL databases
• Strong communication skills
• experience with software build and devops 
• strong in programming 
• experience with Cassandra
  
  

This person’s RESPONSIBILITY will be to:

- understand full arch

- understand every workflow and logs 

- can fix bugs by his hands 

- able to troubleshoot in cloud 

- able to fix and deploy

- able to see database contents

Experience:

• Min 5 year experience
• Not more than 15 year experience.
• Startup experience is a must. 

Location

• Remotely, anywhere in India

Timings:

• 40 hours a week but with 4 hours a day overlapping with client timezone.  Typically clients are in California PST Timezone.

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

Job Responsibilities

• Understand and analyse real world challenges related to product capabilities.
• Do research, experiment and suggest NLP based solutions.
• Design and develop NLP systems.
• Training the developed model and running evaluation experiments.
• Maintaining NLP libraries and framework.

Must-have Requirements

• Experience applying statistical methods (distribution analysis, classification, clustering, etc.). The individual should have excellent analytical skills required to mine data, develop algorithms and then analyze results to determine decisions or actions
• At least 2-3 years experience in using data science with a focus on deep neural nets, statistics, empirical data analysis, machine learning and Natural Language Processing
• Fluency in Python with advanced skills in Pandas, Scikit, NLTK, and familiarity with Pytorch/Keras/Tensorflow
• Experience with NLP algorithms, tools, frameworks eg: Spacy, BERT, ULMFIT, FLAIR
• Experience in topic modelling, and text vectoring techniques
• Experience with classification algorithms - KNN, SVM, decision trees, ensemble techniques
• Experience with neural network approaches to text classification CNN, RNN, LSTM
• Experience with clustering algorithms – K-means, PCA
• Experience of taking Python projects to production

Additional Skills and Qualifications

• Knowledge in developing and deploying solutions on Azure.
• Knowledge in pyspark is a plus

Job Description

This requirement is to service our client which is a leading big data technology company that measures what viewers consume across platforms to enable marketers make better advertising decisions. We are seeking a Senior Data Operations Analyst to mine large-scale datasets for our client. Their work will have a direct impact on driving business strategies for prominent industry leaders. Self-motivation and strong communication skills are both must-haves. Ability to work in a fast-paced work environment is desired.

Problems being solved by our client: 

Measure consumer usage of devices linked to the internet and home networks including computers, mobile phones, tablets, streaming sticks, smart TVs, thermostats and other appliances. There are more screens and other connected devices in homes than ever before, yet there have been major gaps in understanding how consumers interact with this technology. Our client uses a measurement technology to unravel dynamics of consumers’ interactions with multiple devices.

Duties and responsibilities:

• The successful candidate will contribute to the development of novel audience measurement and demographic inference solutions. 
• Develop, implement, and support statistical or machine learning methodologies and processes. 

• Build, test new features and concepts and integrate into production process
• Participate in ongoing research and evaluation of new technologies
• Exercise your experience in the development lifecycle through analysis, design, development, testing and deployment of this system
• Collaborate with teams in Software Engineering, Operations, and Product Management to deliver timely and quality data. You will be the knowledge expert, delivering quality data to our clients

Qualifications:

• 3-5 years relevant work experience in areas as outlined below
• Experience in extracting data using SQL from large databases
• Experience in writing complex ETL processes and frameworks for analytics and data management. Must have experience in working on ETL tools.

• Master’s degree or PhD in Statistics, Data Science, Economics, Operations Research, Computer Science, or a similar degree with a focus on statistical methods. A Bachelor’s degree in the same fields with significant, demonstrated professional research experience will also be considered. 
• Programming experience in scientific computing language (R, Python, Julia) and the ability to interact with relational data (SQL, Apache Pig, SparkSQL). General purpose programming (Python, Scala, Java) and familiarity with Hadoop is a plus.  
• Excellent verbal and written communication skills. 
• Experience with TV or digital audience measurement or market research data is a plus. 
• Familiarity with systems analysis or systems thinking is a plus. 

• Must be comfortable with analyzing complex, high-volume and high-dimension data from varying sources
• Excellent verbal, written and computer communication skills
• Ability to engage with Senior Leaders across all functional departments
• Ability to take on new responsibilities and adapt to changes

• Experience in understanding and Debugging of java web-based technologies (Java, Java Spring, JSP, Servlet, JavaScript, CSS, XML, JSON). 
• Experience with API Background like Linux, Windows, Jason 
• Good knowledge of Oracle PLSQL and Shell scripting. 
• Excellent verbal and written communication skills. 
• Demonstrated ability to install, configure, maintain, upgrade, troubleshoot, repair, and support Adobe Experience Manager (AEM/CQ5). 
• Comfortable with basic scripting and programming (Java, C , Python, Powershell, Bash, etc). managing known hosts and troubleshooting connection issues Support of AEM/CQ5 infrastructure with load-balanced, replicated and fail-over capabilities. 
• Installation / configuration / maintenance of Apache webserver and Dispatcher module configs. 
• Ability to monitor Adobe Experience Manager/CQ5 infrastructure and provide both proactive and reactive support, problem management and root cause analysis. 
• Support application deployment into the Adobe Experience Manager environments, configuring application needs, deploying code/content, troubleshooting and performance tuning. 
• Experience in troubleshooting production environment issues and working closely with Development teams Able to work on Linux/unix environments

1. API
2. AWS