GrepJob
Omada Health

Staff Software Engineer

Omada Health
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about 4 hours ago
Remote, United StatesStaff+
H1B Sponsor

Base Salary

$202k - $253k/yr

Responsibilities

  • Lead architecture and engineering efforts for high-scale B2B systems.
  • Design and implement reliable batch and real-time processing architectures.
  • Drive database performance optimization and long-term scalability planning.
  • Collaborate with product, infrastructure, and operations teams.
  • Identify and lead engineering-wide initiatives for scalability and data quality.
  • Mentor and coach engineers, contributing to the engineering community.
  • Contribute to modern cloud-forward architecture across product domains.
  • Advocate for AI-assisted development tools to enhance productivity.
  • Champion a culture of quality and reliability through DevOps principles.

Requirements

  • 10+ years of software engineering experience focused on scalable systems.
  • Proven success in re-architecting complex legacy platforms.
  • Strong programming experience with Ruby and Python.
  • Deep understanding of relational databases and performance tuning.
  • Hands-on experience with batch and streaming data pipelines.
  • Mastery of API design, distributed systems, and cloud-native architecture.
  • Fluency in CI/CD, containerization, and infrastructure-as-code.
  • Familiarity with monitoring and observability frameworks.
  • Excellent communication and collaboration skills.
  • Growth mindset and curiosity about new technologies.

Benefits

  • Competitive salary with generous annual cash bonus.
  • Equity grants.
  • Remote first work from home culture.
  • Flexible Time Off to recharge and connect with loved ones.
  • Generous parental leave.
  • Health, dental, and vision insurance with above market contributions.
  • 401k retirement savings plan.
  • Lifestyle Spending Account (LSA).
  • Mental Health Support Solutions.

Tech Stack

Apache AirflowApache KafkaAWSDatadogDockerGraphQLKubernetesMySQLPostgreSQLPythonRubyRuby on RailsTerraform

Categories

AI & MLBackendData EngineeringDevOps