Senior DevOps Engineer - Data Engineering

Ukraine

Applications have closed

Life360

Life360 is an international family location safety app. Stay connected with your loved ones to ensure their safety with Life360.

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Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. 

About Life360

Life360 is on a mission to bring families closer— and that starts with ensuring that loved ones are safe and secure. That’s why millions of families across 140 countries trust Life360 to keep them connected each day, and in life’s unpredictable moments.

From real-time location sharing and notifications, to driving safety features like Crash Detection and Roadside Assistance, we create tools that remove uncertainty from modern life — so families can feel free, together.

About The Team

The Optimization Team is laser focused on wringing any and all inefficiencies out of our large scale production infrastructure.  This is a multidisciplinary team that spans from the mobile clients deployed around the world, to the cloud APIs that power near real time emergency services dispatch, to the large scale data analytics environment that guides our work.

About the Job

This role will provide technical expertise in optimizing data pipelines, ETL jobs, and associated infrastructure while also flexing into a wide variety of other areas of infrastructure and code as needed.

What You’ll Do

As part of the Optimization Team you will be continuously looking across the Life360 infrastructure and deployed systems for areas of inefficiency.  Some days those inefficiencies may be as simple as AWS resources that were abandoned, other days you’ll find yourself looking at multi-stage data pipelines crossing multiple teams and accounts.  In every case you will be at the forefront of Life360’s push to maintain operational excellence.

What We’re Looking For

  • Bachelor's in Computer Science, Engineering, related field or equivalent practical experience
  • Experience with distributed, columnar and/or analytic oriented databases or distributed data processing frameworks.
  • Experience with streaming systems like Kafka, Kinesis, etc.
  • Experience with asynchronous queue systems, NSQ, RabbitMQ
  • Experience with Amazon Web Services: Redshift, S3, Glue, EMR, or Athena
  • Experience with containerized applications on AWS
  • Experience with Infrastructure as code tools: Terraform, CloudFormation; config management/provisioning tools: Ansible, Chef, etc.
  • Excellent troubleshooting, attention to detail

We value having a diverse and inclusive community from many backgrounds, so even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!

Life360 Values

Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference.

  • Build A High Performing Team – Communicate Directly, Be a Good Person
  • Make Things Happen – Take Ownership, Think Long Term
  • Deliver an Exceptional Experience – Users Come First, Quality & Craftsmanship

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.  

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

#LI-Remote

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Since the majority of our staff is located on the US West Coast, our primary working hours will be 9-4pm PST

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Ansible APIs Athena AWS Computer Science Data Analytics Data pipelines DevOps Engineering ETL Kafka Kinesis Pipelines Redshift Streaming Terraform

Region: Europe
Country: Ukraine
Job stats:  3  0  0
Category: Engineering Jobs

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