ID.me

ID.me

Staff Software Engineer - Data Platform

Mountain View, California, United States · Staff+ · Full-time

Sponsorship not specified$63k-$800kDetected 21 days ago
PythonJavaGoDistributed SystemsCode ReviewSQLPostgreSQLAWSGCPCloud PlatformsKubernetesTerraformSite Reliability EngineeringPlatform EngineeringTemporalKafkaMachine LearningData EngineeringLLMsIncident ResponseComplianceLeadershipMentoring

About the role

  • This engineer will be responsible for ensuring the reliability, scalability, and performance of the systems that move, process, and store data across the company.
  • This is a hands-on technical leadership role for a data infrastructure engineer who thrives at the intersection of distributed systems, platform engineering, and data operations.
  • This role is based out of our Mountain View, CA office and requires full-time in-office attendance.

Responsibilities

  • Own and operate core data infrastructure, including event streaming, relational database, and batch processing platforms.
  • Design and implement highly reliable, observable, and scalable data systems that enable real-time and batch data processing.
  • Develop automation and guardrails for data governance, retention, and compliance, ensuring auditability and consistency across services.
  • Partner with application, platform, and SRE teams to improve data access patterns, reliability SLAs, and recovery processes.
  • Drive operational excellence by improving resilience, reducing toil, and implementing self-healing or automated recovery mechanisms.
  • Evaluate, implement, and operate event-driven and batch data platforms such as Kafka, Google Pub/Sub, Dataflow, or Temporal.
  • Lead incident response and root cause analysis for production data systems, contributing to postmortems and platform improvements.
  • Data lake architecture - Design and build the data lake storage and compute topology (object storage, partitioning, lifecycle, tiering) to support batch and streaming workloads.

Requirements

  • Bachelor's or Graduate degree in Computer Science, Software Engineering, or a related technical field.
  • 8+ years of professional experience in data engineering, software engineering, or distributed systems development.
  • 6+ years of programming experience in one or more languages such as Go, Python, or Java, with emphasis on automation and data system integration.

Nice to have

  • Hands-on experience administering and optimizing PostgreSQL or other relational databases in the cloud (AWS RDS, CloudSQL, or AlloyDB).
  • Solid understanding of reliability engineering principles, including observability, SLOs, capacity management, and operational readiness.
  • Experience managing cloud infrastructure (AWS or GCP) using infrastructure-as-code tools like Terraform, Kubernetes, or Helm.
  • Experience operating event streaming platforms such as Kafka or Google Pub/Sub.
  • Experience with batch and stream processing systems, including Dataflow, Temporal, or Airflow.
  • Strong knowledge of data pipeline orchestration, change data capture, and schema management.
  • Background in automation, incident response, and data platform observability.
  • Familiarity with data governance and regulatory compliance frameworks (e.g., FedRAMP, GDPR, NIST).

Skills

  • Company Overview
  • ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online.
  • ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity.
  • To learn more, visit https://network.id.me/.
  • ID.me is a full-time, in-office culture.

Compensation

  • The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role.

Benefits

  • Evolve and optimize data pipelines that support downstream analytics, identity verification, and machine learning systems.

Company info

  • ID.me is seeking a Staff Software Engineer - Data Platform to lead the design, build, and operation of the core data infrastructure that underpins our identity platform.
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