Software Engineering PMTS
Salesforce INC · 🌍 India - Hyderabad
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About the role
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. You will be a Principal Engineer (PMTS) leading the Monitoring Cloud Events team in Hyderabad, India. Our team builds systems that handle huge amounts of data for Salesforce. We make sure everything in our cloud runs the way it should. In this role, your job is to guide the team, build great software, and own the services we create from start to finish. What You’ll Actually Be Doing • Day-to-day work: You will build and maintain an Observability stack using in-house, open source and cloud managed services and run data pipelines (ETL) and use big data tools. You will check system health and fix problems quickly so our services stay online. • Leading the way: You will teach and mentor other engineers to help them grow and do their best work. • Working together: You will talk to partners and customers all over the world to make sure they get what they need. • Long-term goals & impact: You will make our cloud faster, safer, and easier to use for millions of people. You will learn how to run big, global systems and become a top leader in the tech world. Tech Stack: • Cloud & Compute: AWS, GCP, and Kubernetes (EKS/GKE) for stateless, scalable multi-cloud orchestration. • Infrastructure as Code: Terraform for resilient, automated platform provisioning across environments. • Edge Ingestion: OpenTelemetry (OTel) for standardized instrumentation, and Vector/Fluent Bit for high-throughput log routing. • Message Buffering: Apache Kafka to ingest billions of telemetry events, ensuring durable, decoupled data pipelines. • Stream Processing: Apache Flink for real-time log parsing, rolling aggregations, and anomaly detection before storage. • Backend Languages: Java for building heavy stream-processing applications, supplemented by Go and Python for operators and tooling. • Ad-Hoc OLAP Analytics: Apache Druid to power sub-second, interactive dashboard queries over massive historical datasets. • Log & Trace Storage: ClickHouse for fast columnar event storage, natively tiered to AWS S3 / GCP Cloud Storage for cost-effective cold storage. • Time-Series Metrics: VictoriaMetrics, M3DB, or Prometheus to ingest and compress millions of high-cardinality metric rollups. • Visualization & Alerting: Grafana and Apache Superset for single-pane-of-glass UI, paired with Prometheus Alertmanager for incident routing. You’re Our Person If… • You have deep experience building software and leading engineering teams. • You know how to move, store, and work with very large amounts of data. • You are highly skilled at building ETL data pipelines. • You have hands-on experience with open-source tools like Kafka, Flink, and Apache Druid. • You are a kind and helpful mentor to other engineers. • You are a great "service owner," meaning you care deeply about keeping systems online and running smoothly. Even Better If… • You have worked on an Observability stack before (tools that monitor system health and logs). • You have experience