Engineering Manager, Data Platform
New
L
LaunchDarklyDevOps software
Remote - USFull-TimeManager
Salary$163,000 - $263,670 (depending on geographic zone); all zones inclusive of a 10% bonus target.
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Job Details
- Experience
- 8+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers
- Required Skills
- PythonElasticSearchAirflowClickhouseGoTerraformDistributed Systems
Requirements
- 8+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers
- Experience owning high-throughput, reliability-critical production systems such as event ingestion, streaming or batch pipelines, or large analytical data stores
- Strong distributed-systems fundamentals and the judgment to guide technical tradeoffs with senior engineers
- Proven ability to partner with Product Management to translate business goals into engineering plans with reliable estimates
- Track record of coaching and developing engineers, including performance management, career growth planning, and technical mentorship
- Strong communication skills in a distributed, cross-time-zone environment
- Familiarity with observability practices (metrics, tracing, alerting, structured logging) and comfort leading production incident response
- Experience with Go or Python
- Experience with technologies such as Kafka or Kinesis, ClickHouse, Airflow, Athena or Iceberg, Elasticsearch, and Terraform
Responsibilities
- Lead and develop a team of backend engineers, providing coaching, feedback, and career growth opportunities
- Own the delivery, correctness, and resilience of Data Platform's production systems, including Tier 0 ingestion endpoints and the pipelines and data stores behind them
- Partner with Product Management and consuming engineering teams to scope, estimate, and sequence roadmap work, making tradeoffs in real time
- Act as the primary communicator and point of contact for Data Platform with engineering leadership, partner teams, and customers
- Drive operational excellence: reliability, observability, cost, incident response, and on-call health
- Build team working norms that promote collaboration, reduce silos and bus factor, and keep engineers engaged
- Participate in hiring to grow the team and raise the engineering bar
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