Principal Reliability Engineer - EDS

2 hours ago

Remote, United States or Tokyo, JapanStaff+

Base Salary

$153k - $229k/yr

Responsibilities

Define the Reliability Engineering strategy, roadmaps, operating models, and architectural patterns for enterprise data platforms and products.
Serve as the highest-level technical escalation point for systemic reliability issues and influence executive stakeholders and engineering leaders.
Architect reliable, performant, and cost-efficient platforms across AWS and GCP.
Oversee reliability controls and fail-safe patterns for Snowflake, EMR, Hadoop/Spark clusters, Kubernetes-based container platforms, and mission-critical data systems.
Establish SLI/SLO frameworks, observability standards, incident response patterns, post-incident reviews, and continuous improvement processes.
Develop AI-driven automation for anomaly detection, alert correlation, autonomous remediation, predictive capacity management, and intelligent operational tooling.
Define reliability practices for data products, governed pipelines, real-time systems, and operational analytics platforms.
Embed resilience patterns such as idempotency, checkpointing, replayability, and disaster recovery into data pipeline architectures.
Set and enforce standards for infrastructure as code, CI/CD, platform automation, reliability frameworks, operational readiness, and runbook quality.
Provide technical leadership and mentorship to Staff and Senior Engineers and represent Reliability Engineering in architecture, governance, and executive forums.

10+ years of experience in data, cloud, platform engineering, site reliability engineering, or large-scale distributed systems, including leadership or technology-leader experience.
Proficiency with data and cloud platforms and architectural patterns for resilience, networking, security, and distributed data infrastructure.
Deep experience with Snowflake, EMR, Hadoop/Spark, data integration, and cloud-native data ecosystems.
Experience with Python for large-scale automation, platform tooling, and reliability frameworks.
Experience with Terraform, CloudFormation, and enterprise CI/CD.
Experience designing or operating observability stacks such as Prometheus, Grafana, Datadog, Splunk, Dynatrace, or OpenTelemetry.
Experience with SLI/SLO frameworks, incident response, data quality, lineage, metadata, governance, and pipeline reliability practices.
Experience applying machine learning, LLMs, prompt engineering, or cloud AI services to operations and reliability improvements.
Preferred experience in regulated or complex enterprise environments such as financial services, insurance, or healthcare.
Prior experience as a Senior Staff Engineer, engineering or architecture leader, or similar senior technical role with hands-on experience.
Strong ability to lead technical strategy, influence senior leaders, mentor engineers, provide architectural guidance, and communicate with executives and cross-functional teams.
AWS, GCP, Kubernetes, or SRE/DevOps certifications are preferred.

Hybrid schedule requiring work in an office three days per week, Tuesday through Thursday, in Columbus, OH; Chicago, IL; Hartford, CT; or Charlotte, NC.
The role offers an annualized base pay range of $152,800 to $229,200, plus potential bonuses, long-term incentives, and recognition rewards.
The company does not support the STEM OPT I-983 Training Plan endorsement for this position.

10,000+ employees