Senior Staff Software Engineer – Distributed Systems, Data Ingestion, Storage, Analytics

This is a fully remote position, open to applicants in California.

📋 Description

• Collaborate with engineering, product, and leadership to shape the HLA roadmap.

• Engage directly with customers to transform feedback into actionable insights for product and roadmap development.

• Establish architectural direction for ingestion, storage, and querying across various teams.

• Document technical perspectives and create prototypes to validate concepts.

• Lead comprehensive design reviews.

• Define standards for reliability and efficiency in the HLA data path, encompassing completeness, durability, latency, availability, tenant isolation, and unit cost.

• Oversee storage migrations, schema updates, replays, and upgrades with minimal to no downtime.

• Set architectural boundaries and agreements for collection, ingestion, storage, anomaly detection, querying, and AIOps teams.

• Assess AI concepts based on customer value, data quality, reliability, and associated costs.

• Conduct experiments to identify scalability opportunities.

• Establish quality, on-call, and incident-learning standards.

• Mentor senior engineers and technical leads.

• Assist in developing future technical leaders.

• Collaborate with engineering and product leadership.

⛳️ Requirements

• Experience in leveraging or thoughtfully integrating AI into workflows, decision-making, or problem-solving.

• Over 12 years of experience in building and operating production distributed systems, with significant ownership of large-scale data or platform systems.

• Equivalent depth through sustained technical leadership is also acceptable.

• Broad knowledge in data ingestion, storage, querying, and AI applications, with deep expertise in at least one area.

• Proficiency with Kafka, Pulsar, or Kinesis.

• Familiarity with columnar stores, time-series databases, Elasticsearch/OpenSearch, or object-storage architectures.

• Proven track record of influencing the direction of teams not directly under ownership.

• Evidence-based judgment regarding AI, including safeguards for correctness, safety, and cost management.

• Strong judgment on trade-offs related to consistency, latency, cost, and operational burden.

• Comfortable working with Kubernetes and large-scale cloud infrastructure.

• Proficient in at least one programming language such as Go, Java, Scala, Rust, or Python.

• Capable of prototyping, conducting in-depth reviews, and writing code when necessary.

• Ability to clearly communicate complex designs to both technical and executive audiences.

• Experience working remotely and leading remote teams.

• Nice to have: background in observability, log analytics, OpenTelemetry, or AIOps.

• Nice to have: experience at an AI-native company or in developing agents and LLM-based features.

• Nice to have: experience with multitenant SaaS and tenant isolation.

🏝️ Benefits

• Equity (when applicable).

• Variable/incentive compensation.

• Health plans.

• Flexible spending accounts.

• 401(k) Plan with company match.

• Employee Stock Purchase Plan (ESPP).

• Matching donations.

• Flexible time away plan.

• Family leave programs.

• Remote work flexibility.