Backend Midlevel Software Engineer at Linqia

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(5 open jobs)

Linqia combines the science and accountability of online media with award-winning service to deliver guaranteed influencer marketing results for our clients

Job title
Backend Midlevel Software Engineer
Job listing last updated at
Mar 11, 2020
Job listing location
San Francisco Headquarters
Job listing source
Job listing link
External link
Bay Area company location: 77 Maiden Ln, San Francisco CA

Job description

Linqia combines the science and accountability of online media with award-winning service to deliver guaranteed influencer marketing results for our clients. Our AI-driven platform and team of experts are leading the transformation of influencer marketing into a scalable media channel. The Linqia platform also serves as a social content lab, where marketers can organically test and amplify the best performing influencer content to drive greater ROI from their paid, owned and earned media.

At Linqia, we value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

Founded in 2012, Linqia works with over 300 leading national brands including Kimberly-Clark, McDonald’s, Nestle, Unilever, and Walmart. Linqia is headquartered in San Francisco, CA, with offices in New York, Chicago, and Bentonville.

Role / Responsibilities:

  • Design and Develop Automation workflows for provisioning Software Infrastructure span
  • Design and Develop Microservices and Applications for Data Extraction, Information Retrieval and Data Analysis
  • Manage deployment and orchestration Infrastructure and related Automation (Apache Mesos, Kubernetes)
  • Manage and Deploy Distributed Queuing and Streaming platforms (Apache Kafka, Apache ActiveMQ)
  • Manage and Deploy Database Infrastructure (Relational and Non Relational)


  • BS degree in Computer Science or a similar technical area of study or equivalent practical experience
  • 1-3 years as a software engineer/developer working with software and cloud infrastructure
  • Python, Java, Shell Scripting
  • Experience with Software Infrastructure Automation and tools such as Ansible, Puppet, Docker
  • Experience with Data Analysis and Machine Learning Libraries like Pandas, Spacy, Scikit-learn, Gensim, etc.
  • Experience with Source Control Management esp. Git
  • Ability to effectively communicate technical concepts to other team members.
  • Familiarity with Agile software development processes
  • Very good understanding of Relational Databases and SQL
  • Very good understanding of Linux/Unix platforms and System Tools.
  • Very good understanding of Networks and Networking Protocols

Nice to Have:

Post Graduation degree in CS or further education or experience in computer science or other technical related field.
Experience working and writing automation workflows for AWS, Google Cloud Platform or other cloud infrastructure
Experience deploying, configuring and managing Queuing Systems
Experience deploying, configuring and managing Non Relational Databases (Cockroachdb, ElasticSearch)
Experience with Micro Service based infrastructure.
Apache Spark
Experience in Natural Language Processing and Machine Learning


This position description is intended to describe the duties most frequently performed by an individual in this position.  Linqia is an equal opportunity employer — we actively seek and value diversity on our team.  Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.

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