Job SummaryAbout us: Chronosphere, a Palo Alto Networks company, is the observability platform built for control in the modern, containerized world. Chronosphere empowers customers to focus on the data and insights that matter by reducing complexity, optimizing costs, and remediating issues faster. Chronosphere reduces data volumes and associated costs by 84% on average while saving developers thousands of hours. Recognized as a leader by major analyst firms, Chronosphere is trusted by the world's most innovative brands, including DoorDash, Affirm, and Zillow.
About our rolesWe are a collection of customer facing teams who craft best-in-class observability solutions that turn massive streams of telemetry into actionable AI driven intelligence and insights. Our highly reliable platform enables our customers to troubleshoot in real-time and harden system reliability through AI powered guided troubleshooting, contextualized data and elegant collaboration tools. We are continuously shortening the distance between a customer observing a problem and our platform providing a solution while making the complexity easy to navigate and understand.
We are looking for experienced engineers with a strong product sense who asks "why" as often as "how". You'll use systems thinking to design workflows that surface key business insights. This role is perfect for someone who wants to own the technical roadmap and ship features that redefine how teams collaborate during mission-critical moments.
Qualifications You will- Directly impact how customers leverage observability for their infrastructure and services architecture
- Leverage AI infrastructure like LLMs, ML to build innovative capabilities for our customers
- Design experiences and systems for contextualizing large amounts of telemetry data
- Help shape the architecture of a rapidly scaling platform
- Collaborate with deeply technical teammates and customers
- Improve our own system observability (we use our own product heavily)
- Improve performance, reliability, and cost efficiency of distributed systems
- Mentor engineers and help maintain our engineering standards
You have- Strong experience in one or more backend languages (e.g., Go, Java, Python, Rust)
- Experience using AI coding assistants (e.g., Cursor, Claude) as part of day-to-day software development
- Experience building and operating highly available systems in production
- Experience working with cloud infrastructure (AWS, GCP, Azure)
- Experience designing APIs (REST, gRPC, GraphQL) for scale
- Experience working effectively with cross functional partners
- Experience owning and executing projects from inception to delivery
- Experience working with a high degree of autonomy with good judgement on when to push forward and when to ask for help
- An effective collaborative working style and willingness to build and maintain a positive and supportive environment
- An ability to operate effectively in a remote first environment
Location: US - Remote
#LI-Remote
Compensation DisclosureThe compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$147,000.00 - $237,500.00/yr
