Senior Software Engineer

Sysdig is the secure DevOps company, and we’re at the forefront of the container and Kubernetes revolution. We are passionate, technical problem-solvers, continually innovating and delivering powerful solutions to secure and operate cloud-native applications in production. Our consistent contributions to open source software projects reflect our commitment to the open cloud movement. 

We value diversity and open dialog to spur ideas, working closely together to achieve goals. And we're a great place to work too — we were awarded the 2019 Bay Area Best Places to Work Award from San Francisco Business Times and the Silicon Valley Business Journal. We are looking for team members who share our commitment to customers and are willing to dig deeper, understand problems and deliver innovative solutions. Does this sound like the right place for you?

If you are a backend software engineer with experience in building and operating large-scale data pipelines, we would like to connect. Ideally, you are passionate about and have experience in large-scale distributed systems.

YOUR OPPORTUNITY

We're looking for a Backend Software Engineer who is passionate about building simple, scalable services to deal with complex data, to work in our Container Intelligence Platform that impacts Enterprise customers.

You will work alongside an established engineering team located throughout the US and Europe. Sysdig is a high growth startup, and there will be significant growth opportunities for this position. Our customer base is growing fast and so is the scale demanded of our backend. As a consequence, we're embarking on a major re-architecting of our platform.

YOUR RESPONSIBILITIES

You'll lead projects as part of this scale-out effort that will allow us to handle the next orders of magnitude. Examples of such projects include writing Kafka-based streaming services.

• Distribute query engine targeting of our Cassandra and ElasticSearch data store
• Optimize ingest pipeline
• Put machine learning features into production
• Handle both monitoring and security data on a daily basis across multiple platform tiers (Kubernetes, AWS, Mesos) 

YOUR BACKGROUND

• Prior experience building and operating large-scale data pipelines
• Production experience with at least one of Kafka, Cassandra, ElasticSearch, or similar technologies
• Strong computer science fundamentals in design, data structures and algorithms
• Java experience highly preferred
• Experience with AWS is a plus
• Experience with Kubernetes is a plus
• Startup / entrepreneurial experience is a plus
• A positive “can do” attitude with the ability to articulate thoughts and ideas and see them to fruition
• An appetite for varied data

KEY TECHNOLOGIES

• Java
• Go
• Kafka
• Cassandra
• Elasticsearch
• Linux