{"id":3926553,"url":"https://alion.io/job/salesforce-principal-engineer-pmts","title":"Principal Engineer (PMTS)","company":{"id":70,"name":"Salesforce","domain":"salesforce.com","url":"https://alion.io/company/salesforce","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":344,"ghost_share":0.012,"stale_share":0.674,"repost_share":0.029,"time_to_fill_p50_days":31,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alertmanager","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"ClickHouse","optional":false},{"name":"Druid","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Java","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Superset","optional":false},{"name":"Time Series","optional":false},{"name":"VictoriaMetrics","optional":false},{"name":"Amazon EKS","optional":true},{"name":"Fluent Bit","optional":true},{"name":"Google GKE","optional":true},{"name":"Kubernetes","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Terraform","optional":true},{"name":"Vector","optional":true}],"status":"live","first_seen_at":"2026-11-07T19:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-07T19:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"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.\n\nWhat You'll Actually Be Doing:\nDay-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.\nLeading the way: You will teach and mentor other engineers to help them grow and do their best work.\nWorking together: You will talk to partners and customers all over the world to make sure they get what they need.\nLong-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.\n\nTech Stack:\nCloud & Compute: AWS, GCP, and Kubernetes (EKS/GKE) for stateless, scalable multi-cloud orchestration.\nInfrastructure as Code: Terraform for resilient, automated platform provisioning across environments.\nEdge Ingestion: OpenTelemetry (OTel) for standardized instrumentation, and Vector/Fluent Bit for high-throughput log routing.\nMessage Buffering: Apache Kafka to ingest billions of telemetry events, ensuring durable, decoupled data pipelines.\nStream Processing: Apache Flink for real-time log parsing, rolling aggregations, and anomaly detection before storage.\nBackend Languages: Java for building heavy stream-processing applications, supplemented by Go and Python for operators and tooling.\nAd-Hoc OLAP Analytics: Apache Druid to power sub-second, interactive dashboard queries over massive historical datasets.\nLog & Trace Storage: ClickHouse for fast columnar event storage, natively tiered to AWS S3 / GCP Cloud Storage for cost-effective cold storage.\nTime-Series Metrics: VictoriaMetrics, M3DB, or Prometheus to ingest and compress millions of high-cardinality metric rollups.\nVisualization & Alerting: Grafana and Apache Superset for single-pane-of-glass UI, paired with Prometheus Alertmanager for incident routing.\n\nYou're Our Person If...:\nYou have deep experience building software and leading engineering teams.\nYou know how to move, store, and work with very large amounts of data.\nYou are highly skilled at building ETL data pipelines.\nYou have hands-on experience with open-source tools like Kafka, Flink, and Apache Druid.\nYou are a kind and helpful mentor to other engineers.\nYou are a great \"service owner,\" meaning you care deeply about keeping systems online and running smoothly.\n\nEven Better If...:\nYou have worked on an Observability stack before (tools that monitor system health and logs).\nYou have experience working with global teams 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