Software Engineer II - Engine Team, LogScale (Hybrid)

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily.

Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation.

We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

As our new software engineer in CrowdStrike, you’ll contribute to the LogScale application for observability, log management, and security events. As a member of the new US based engine team you will focus on the LogScale engine that makes LogScale scale by developing new features as well as improving existing functionality. This is a highly distributed system that ingests Petabytes of data per day through both our SaaS and On Premise offerings.

You will be joining a distributed team of highly collaborative engineers who share a strong passion for the product. In this role you will get a chance to work on hard engineering problems that do not have well-defined solutions.  You will become one of the go-to experts of the LogScale engine, and will have a broad understanding of the entire LogScale architecture.

Teams in LogScale have a great amount of autonomy, and own a part of the LogScale experience, from ideation and development to deployment and feedback. This includes ensuring high quality of the features they deliver, by writing automated tests, and performing manual tests. Moreover, we do not just throw over features to our operations teams, but we constantly observe and monitor new features in production, with LogScale dashboards of course.

An important part of our work is making sure that LogScale continues to be scalable in terms of efficiently ingesting and digesting events, querying for the right data, while also ensuring the stability of the clusters. Some of the critical elements that the team is working on improving is the query execution engine that makes the LogScale queries be lightning fast.

The team is also working with our internal “global” data storage using Kafka and the storage engine that ensures data is stored in the right number of replicas as well as on the correct nodes and in bucket storage such as S3. You will be playing a crucial role in ensuring that LogScale can continue with its successful durability and high availability.

This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.

What You'll Do:

• Work in a team of friendly, trustworthy and knowledgeable colleagues
• Work on cross-team platform-level initiatives and projects
• Participate in scoping, designing and developing of new features and lead delivery of solutions to open-ended problems
• Contribute to moving the scalability of our LogScale engine to the next level
• Develop the LogScale backend in Scala and extending our engine to keep LogScale scale with increasing ingest load while ensuring high availability
• Communicate technical decisions through design documents, technical talks and improving our internal documentation.
• Provide technical advice on decisions, and research and propose new technologies
• Lead delivery of new solutions within the team and mentor team members through code reviews, pairing, documentation, design reviews and technical guidance
• Monitor and followup on features released to customers on-prem and on cloud
• Troubleshoot critical production issues both on our own Software as a Service customers and our on-premise customers

What You'll Need:

• A passion for or personal interest in distributed systems and curiosity of how our running systems are doing
• Experience in software development in general and the ability to juggle making pragmatic tradeoffs between short-time delivery needs vs long-term product goals
• Experience in contributing to broad technical leadership in products or services
• Fluency in both functional and object oriented programming and the ability to pick up new languages on the go
• A can-do attitude, and that you thrive collaborating in a team and are not afraid of taking on responsibilities

Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Bonus Points:

• Experience programming in Scala
• Experience with commercial clouds (AWS, Azure, GCP)
• Experience with Kafka
• Hands on experience in large-scale (distributed) system architecture, high scalability and availability, and optimization

This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements.