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Senior Backend Engineer, Data Platform

2 months, 1 week ago
United States
Full-time
Senior
Backend Engineer
Software Development
Apache Airflow Apache Spark AWS ClickHouse Databricks Datadog Elasticsearch Go Kafka PostgreSQL Python Scala SQL Terraform
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Slack

Slack

Slack provides a collaborative platform that integrates real-time messaging, project management, and AI tools to enhance productivity and streamline communication within teams.

Internet Software & Services
1K-5K
Founded 2009
$1200M raised
View All Jobs 9

Description

  • Design, build, and operate distributed, data-intensive backend systems for Data Platform capabilities.
  • Own and improve production data infrastructure, including streaming and batch pipelines, analytical data stores, and warehouse export systems.
  • Monitor and enhance observability, alerting, reliability, and performance across production data systems.
  • Debug and resolve complex production issues across pipelines, databases, cloud infrastructure, and distributed systems.
  • Participate in the team’s on-call rotation and support the systems built in production.
  • Partner with product managers, frontend engineers, UX designers, and other engineering teams to deliver reliable data capabilities.
  • Write technical proposals, contribute to architecture decisions, and evaluate trade-offs around scalability, reliability, cost, and operability.
  • Improve engineering standards, testing practices, deployment safety, tooling, and operational processes.
  • Write maintainable, well-tested code and participate in code reviews, design reviews, and production readiness discussions.

Requirements

  • 6+ years of professional backend software engineering experience.
  • Significant experience with infrastructure, data platform, distributed systems, or data-intensive production systems.
  • Experience designing, building, operating, and debugging reliable production systems that move, store, process, or query large volumes of data.
  • Hands-on experience with data pipeline, streaming, orchestration, or batch-processing technologies such as Kinesis, Airflow, Spark, Lambda, Flink, Athena, Kafka, or equivalent systems.
  • Experience with analytical, event, warehouse, or operational data stores such as ClickHouse, Postgres, Elasticsearch, Timestream, Glue/Iceberg/S3, Redshift, Databricks, or equivalent systems.
  • Strong programming experience in Go, Python, SQL, Scala, or similar backend languages.
  • Familiarity with distributed systems fundamentals such as concurrency, data modeling, failure handling, retries, idempotency, partitioning, backpressure, and high-throughput processing.
  • Experience with infrastructure-as-code tools such as Terraform or equivalent.
  • Experience with observability tools such as Datadog, New Relic, or equivalent.
  • Strong ownership mindset focused on maintainability, testing, operational excellence, code quality, collaboration, and clear technical communication.

Benefits

  • Target base salary range of $187,000–$257,000 for Zone 1, $168,000–$231,000 for Zone 2, or $158,000–$218,000 for Zone 3.
  • Restricted Stock Units (RSUs).
  • Health, vision, and dental insurance.
  • Mental health benefits.
  • Transparent pay ranges based on geographic zone.
  • Location-based compensation that varies by skills, experience, and location.

Interested in this position?

Apply directly on the company website

Apply Now

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