Senior Full-Stack Engineer

Industry: Technology
Remote
Company size: 11-50
Full-time/Part-time

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Job description

An NYSE-listed company that is using distributed storage technologies to optimize energy consumption in industries is looking for a Senior Full-Stack Engineer. The selected candidate will be working with data processing services like AWS Athena, ElasticSearch, or streaming and batch data services using Databricks. The company is providing AI-based solutions to help businesses simplify their clean energy management. The company has managed to secure more than $580mn in funding so far. 

 

Job Responsibilities:

  • Auto-diagnose the root cause using AI-powered software, and automatically apply preventive measures or restore services
  • Design and implement cloud-based applications
  • Work with cross-functional teams to design, develop and deliver applications that enable a NOC operator to detect anomalies
  • Develop both the back-end and front-end applications
  • Develop applications and services that enable a Network Operations Center (NOC) operator to provision, monitor, and manage a fleet of energy storage systems

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 7+ years of relevant experience as a full-stack engineer
  • 7-10+ experience creating cloud or enterprise software
  • Extensive experience writing single-page-applications (SPA) with JavaScript and React
  • Familiarity with Elasticsearch and an ability to understand the notion of document storing and NoSQL databases
  • Experience with Python, Java, or C++ 
  • Extensive experience integrating with and using Machine Learning platforms 
  • Prior experience working with messaging queues like RabbitMQ and Kafka
  • Demonstrable experience using time-series data stores and streaming/distributed data processing
  • Experience with developing service-oriented or microservice architectures
  • Familiarities with AWS solutions, like EKS, Athena, and Kinesis
  • Some knowledge of ELK stack (Elasticsearch, Logstash, Kibana) for logging and inspection
  • Extensive experience with Prometheus and Grafana for monitoring applications in real-time
  • Solid understanding of containerization through Docker/Kubernetes
  • Experience with Agile methodologies including Scrum (and daily standups), sprints, and epics/stories
  • Nice to have prior experience with the AWS Cloud Data Services 
  • Knowledge of containerized Docker apps and deployment orchestration like Kubernetes is desirable
  • Familiarity with ITSM concepts and Jira APIs is preferred
  • Experience with Spark / Databricks and ElasticSearch or AWS Athena is nice to have
  • Fluent in English communication

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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