
Job Overview
Location
Marina Del Rey, CA
Job Type
Full-time
Category
Engineering Manager
Date Posted
May 21, 2026
Full Job Description
đź“‹ Description
- • Lead a team of software engineers responsible for designing, building, and maintaining Sift’s core data infrastructure, including ingestion pipelines, storage systems, processing engines, APIs, and documentation for data interaction.
- • Manage end-to-end delivery of high-performance data platforms that operate flawlessly across cloud, on-prem, and air-gapped environments to support mission-critical systems in aerospace, defense, autonomous vehicles, and energy.
- • Collaborate directly with Product and Go-To-Market teams to define and prioritize technical roadmaps aligned with customer needs and company strategy.
- • Actively contribute to the codebase by architecting and implementing high-impact features, resolving critical technical challenges, and ensuring system reliability at scale.
- • Establish and refine engineering processes including agile rituals, code review standards, and deployment practices, while integrating AI tools to accelerate development velocity and improve code quality.
- • Mentor and develop engineers by providing continuous feedback, career guidance, and growth opportunities to foster a high-performing, resilient team culture.
- • Own the quality and performance of data systems that serve demanding use cases requiring low-latency queries, high-throughput streaming, and real-time analytics for physical systems.
- • Ensure data infrastructure meets stringent operational requirements for customers in regulated industries, including compliance with ITAR and EAR regulations.
- • Evaluate and integrate new data technologies such as Flink, Kafka, Redpanda, DuckDB, Timescale, Druid, and Pinot to enhance scalability, efficiency, and functionality of the platform.
- • Work closely with frontend teams to support the development of customer-facing dashboards using React, TypeScript, D3.js, and WebGL for intuitive data exploration and visualization.
- • Promote a culture of technical excellence by raising the bar for system design, observability, testing, and documentation across all data engineering initiatives.
- • Drive adoption of infrastructure-as-code practices using Terraform, Docker, and Kubernetes across AWS, Azure, and GCP environments.
- • Participate in weekly in-person collaboration at the Marina Del Rey office (Mondays and Thursdays) and join company-wide retreats every two months to align with hardware-focused customers and engineering peers.
- • Contribute to hiring initiatives by identifying, interviewing, and onboarding top-tier engineering talent with backgrounds in distributed systems, real-time data, and physical system domains.
- • Maintain deep technical involvement in the stack, including Go, Rust, and Python, while ensuring seamless integration between data pipelines and application layers.
- • Champion the use of data exploration tools like Grafana and Jupyter Notebooks to enable engineers and customers to derive actionable insights from telemetry streams.
- • Support the evolution of Sift’s platform during its early growth stage, where architectural decisions have long-term impact on the trajectory of the product and company.
🎯 Requirements
- • 7+ years of experience in software engineering with 2+ years in a people management role
- • Bachelor’s degree in Computer Science, STEM, or a related field
- • Strong experience with distributed systems and web applications using Go, Rust, or Python
- • Experience with stream processing technologies such as Apache Kafka, Flink, or Beam
- • Familiarity with specialized time-series or analytical databases like PostgreSQL, Druid, Pinot, or Timescale
- • Proven ability to lead engineering teams through ambiguity and act as a force multiplier for technical talent
🏖️ Benefits
- • Unlimited PTO
- • Equity ownership in the company
- • Full medical, dental, and vision coverage
- • 401(k) plan
- • In-person collaboration twice weekly at Marina Del Rey office
- • Opportunity to work alongside engineers from SpaceX, NASA JPL, and Defense Intelligence Agency
Skills & Technologies
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About Siftstack Inc.
Siftstack Inc. provides an AI observability platform that monitors, traces, and evaluates large language model applications. Its service ingests logs, metrics, and traces to detect anomalies, surface root causes, and quantify quality, enabling engineering teams to maintain reliable, compliant, and cost-effective AI systems in production. The company targets enterprises deploying generative AI and offers dashboards, alerting, and integrations with popular LLM frameworks and cloud providers.
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