Sr API Engineer

Sumo Logic

Sr Backend API Engineer

Location: Ideally Austin, TX, Denver, CO or Redwood City, CA

We will, however, also look at 100% remote talent based elsewhere in the USA

What we do:
We are a cloud-native SaaS machine data analytics platform, solving complex monitoring problems for DevOps, SecOps and ITOps teams. Customers love our product because it allows them to easily monitor and optimize their mission critical, large scale applications.

Massive Scale:
Our microservices architecture in AWS ingests hundreds of terabytes daily across many geographic regions. Millions of queries a day analyze hundreds of petabytes of data.

At Sumo Logic, we are building a data platform designed to power the analytics and investigations that are common in the Security Operation Centers of large enterprises. It is designed to accept hundreds of billions of events from security-relevant data sources (detection products, network sensors, log shippers, inventory systems) per day. It is cloud-native, with no plan to support an on-premise deployment. It is multi-tenant, and is designed to simultaneously process events from thousands of our customers. And, it is security-focused — it is designed to perform the kinds of stateful analyses that security analysts demand.

We are building this platform the way startups should — with ruthless prioritization, and with a live and demanding customer base. By joining as a Data Engineer, you have the opportunity to make our vision a reality, one feature at a time.

Sr Backend API Engineer

Position Overview:

As a Senior Backend API Engineer, you will be working on designing, architecting, and implementing highly scalable, distributed, and fault tolerant backend systems. You will be part of the API team in our cybersecurity business unit and will be working on building both internal GraphQL APIs and public REST APIs on top of the large amount of data ingested into the Sumo Logic Cloud SIEM Enterprise product.

What You Will Be Doing:

  • Evaluate requirements, define technical specifications, review design and communicate to stakeholders.
  • Lead, organize, and participate in cross-team discussions on system design and architecture
  • Deliver and maintain features that are scalable, stable, and performant
  • Work closely with the data pipeline teams to index large amounts of data and work with the UI team to deliver the queries/aggregations they need
  • Participate in an on-call rotation to manage incidents and support the services you have developed

Who You Are:

  • Coding fluency in at least Python and either Java or Scala
  • Experience with PSQL or other SQL databases
  • Experience with Kafka and/or Elasticsearch preferred
  • Competency with modern CI/CD tooling like Kubernetes, Terraform, Ansible & Jenkins
  • A desire to see features through from development to deployment in production environments
  • Flexible and willing to step into new roles and responsibilities
  • 5+ years of experience
  • BS in Computer Science or equivalent experience

_________________________________-

Mission:

Democratize machine data analytics through the Sumo Logic platform, bringing real-time data insights securely through the cloud.

Funding and Growth:

We have raised $345 million in funding to date, with the most recent round being May 2019. Investors include Battery Ventures, Greylock Partners, Sutter Hill Ventures, Accel Partners, Sequoia Capital, Sapphire Ventures and DFJ Growth. Our recurring revenue and customer base are growing steadily. We serve over 2,000 customers across the globe including AirBnB, Alaska Airlines, Anheuser Busch, Hootsuite, Hearst, Hudl, Major League Baseball, Marriott, Medidata, Sauce Labs, Samsung SmartThings, SPS Commerce, Twitter, Telstra, Toyota, Zuora and more.

#LI-Remote

Apply

👉 Please mention in your application that you found the job on pyremote, this helps us get more companies to post here!

This job is sourced from Remotive. When clicking on the button to apply above, you will leave pyremote and go to the job application page. pyremote accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.