# Senior Manager, Software Engineering (Observability, Kafka, Monitoring) at Salesforce

Salesforce is hiring a Senior Manager, Software Engineering (Observability, Kafka, Monitoring) in Hyderabad, India. Level rates it Works on AI ●●●○; you can [apply on Salesforce](https://jobsbylevel.com/go/27486326-05e1-4964-b6c4-b5092e4966a6?utm_medium=ai-agent).

AI Level 3, AI centrality 60 out of 100. India - Hyderabad.

## Details

- Company: [Salesforce](https://jobsbylevel.com/companies/salesforce)
- AI level: AI Level 3 (score 60 out of 100)
- Location: India - Hyderabad
- Posted: November 3, 2026
- Apply: https://jobsbylevel.com/go/27486326-05e1-4964-b6c4-b5092e4966a6?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-manager-software-engineering-observability-kafka-monitoring-at-salesforce-7412d9

## Prepare for this job

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## Description

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. The Experience You will be a Senior Manager of Software Engineering leading a team of 8 to 10 engineers. Your team builds the “Anomaly Alerting” platform. This is a smart system that watches for strange changes in data and sends out warnings. Your job is to guide the people, own the system, and help make our warning alerts smarter and more automatic. What You’ll Actually Be Doing Day-to-day work: You will make sure our alerting system is fast, strong, and does not break as it grows. You will lead projects that make the system do the hard work so other teams don’t have to set up alerts by hand. Leading the way: You will manage 1 to 2 teams (8 to 10 engineers). You will build a happy, helpful culture where people work well together. Working together: You will partner with other tech teams and groups across Salesforce (like Slack and Sales Cloud) so they can find and fix problems much faster. You will also speak for your team in meetings and work closely with our teams in the US. Early goals & impact: In your first 60 to 90 days, you will learn the ropes, start leading in meetings, team up with the US groups, and make a real difference on our biggest goals. You’re Our Person If... You have experience being a manager and leading 8 to 10 software engineers. You know how to handle huge amounts of data and build data pipelines (ETL). You have experience running systems on big clouds like AWS or Google Cloud (GCP). You have worked with tools that monitor system health (Observability). You have some experience with Machine Learning and know how to spot strange patterns in data (Anomaly Detection). You are able to work in the office as the company requires (no travel is required for this role). Even Better If... You have deep, hands-on experience building Machine Learning tools that send out alerts. You already know how to work with Salesforce products like Agentforce, Commerce Cloud, or Slack. 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. A demonstrated,

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