Staff Software Development Engineer(Cloud Observability)
2 days ago
Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.
We are looking for a Staff Software Development Engineer to our Shared Platform Services team. Reporting to the Director of Software Engineering, you'll be responsible for:
- Designing, building, and scaling our cloud data analytics platform, responsible for the ingestion, processing, and querying of terabytes of endpoint telemetry
- Engineering and maintaining a scalable alerting and incident detection engine using Python and workflow orchestrators
- Creating and managing insightful Grafana dashboards and other visualizations that provide clear, actionable views of our system's health and performance for engineering, support, and leadership
- Optimizing our data platform for cost, performance, and reliability. You will own the architecture and mentor other engineers, building a system that is robust and enhanceable by the entire team
- 5 years of professional experience in a data engineering, backend, or SRE role with a focus on large-scale data
- Expert-level proficiency in a query language like SQL or Kusto Query Language (KQL), with proven experience writing complex queries and optimizing their performance
- Strong programming skills in Python, particularly for data processing, automation, and building data pipelines
- Hands-on experience with at least one major cloud provider (Azure is highly preferred)
- Demonstrated experience building and managing systems for the following: big data analytics, time-series monitoring, alerting/anomaly detection, or data visualization
- Direct experience with our current stack: Azure Data Explorer (ADX), Grafana, and Apache Airflow
- Familiarity with infrastructure as code (IaC) tools like Terraform or Bicep
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bangalore, India Pegasystems Full timeMeet Our Team: Cloud Observability Engineering collaborates with all the engineering teams at Pega and advocate for Observability solutions, establish standards and processes. Cloud Observability Engineering team is responsible for designing, developing and maintaining Observability solutions for Pega Cloud.Picture Yourself at Pega:You will be part of a...
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