Software Engineer III - Data Platform

ID.me

$172K — $201K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or related field.
  • 3-5 years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering.
  • 2+ years managing and scaling services in cloud environments like AWS, GCP, or Azure.
  • 1+ years proficiency in a modern programming language (Java, Go, Python, etc.).

Responsibilities

  • Build and maintain automated reliability tooling and observability systems.
  • Develop monitoring, logging, and alerting frameworks using technologies such as Prometheus and Grafana.
  • Implement automated architectural reviews for agent-developed applications.
  • Partner with engineering teams to design fault-tolerant systems that meet SLIs and SLOs.
  • Automate operational tasks and create self-healing mechanisms.
  • Participate in on-call rotations and lead post-incident reviews.
  • Enhance deployment processes using CI/CD pipelines.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • 401(k) plan with company match.
  • Unlimited paid time off, including 8 company-wide holidays.
  • Short and long-term disability insurance.
  • Employee assistance program and wellness discounts.
Full Job Description
Role OverviewWe are seeking a Site Reliability Engineer to join our Core Platform Engineering organization. The SRE team builds the automation, observability, and operational foundations that ensure ID.me's services are reliable, scalable, and secure.

As an SRE, you will play a pivotal role in building the platform and governance processes required to safely scale, deploy, and operate a high volume of machine-generated applications and features. You will design and implement the automated guardrails that maintain our high standards for resilience and security in an AI-accelerated development environment. You'll focus on infrastructure automation, observability, performance optimization, and incident response, partnering closely with Software Engineering teams to foster a culture of reliability and operational excellence.

This role is based out of our Mountain View, CA or McLean, VA offices and requires full-time in-office attendance, 5 days per week.

Responsibilities
  • Build and maintain automated reliability tooling, infrastructure as code, and observability systems that enhance uptime and service performance.
  • Develop monitoring, logging, and alerting frameworks (e.g., Prometheus, Grafana, OpenTelemetry) to detect and remediate issues proactively.
  • Implement automated architectural reviews and reliability guardrails for agent-developed applications to ensure machine-generated code meets long-term maintainability and performance standards.
  • Partner with engineering teams to design and implement scalable, fault-tolerant systems that meet defined SLIs and SLOs.
  • Automate repetitive operational tasks and develop self-healing and auto-remediation mechanisms to minimize human intervention.
  • Participate in on-call rotations and lead incident response efforts, performing post-incident reviews and driving systemic improvements.
  • Improve the deployment and release process using CI/CD pipelines and progressive delivery techniques to ensure stability and safety.
  • Champion observability, reliability, and operational readiness reviews as part of the development process.
  • Collaborate with Security and Compliance teams to ensure production systems meet FedRAMP, NIST, and internal policy requirements.
  • Contribute to documentation, runbooks, and internal tooling to enhance knowledge sharing and operational maturity across teams.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • 3-5 years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering.
  • 2+ years of hands-on experience managing and scaling services in cloud environments such as AWS, GCP, or Azure.
  • 1+ years proficiency in at least one modern programming language (e.g., Java, Go, Python, Ruby, JavaScript).

Preferred Qualifications
  • Strong understanding of containerization and orchestration technologies (Docker, Kubernetes).
  • Experience implementing and maintaining CI/CD pipelines and automation frameworks.
  • Working knowledge of observability systems-metrics, tracing, logging, and alerting.
  • Experience building automated recovery, failover, or chaos-engineering systems to validate reliability.
  • Familiarity with event-driven architecture and asynchronous processing systems.
  • Knowledge of distributed systems design, load balancing, and performance optimization.
  • Exposure to infrastructure-as-code tools (Terraform, Pulumi, Ansible) and GitOps practices.
  • Understanding of security and compliance frameworks (FedRAMP, SOC2, or NIST 800-53).
  • Strong analytical and troubleshooting skills across the stack-from network to application layer.
  • Excellent communication and documentation skills, with a focus on cross-team collaboration and continuous improvement.
  • Experience using AI agentic coding assistants and deploying custom AI agents or automated workflows into production environments.


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.

ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit.

Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors.

Mountain View, CA Pay Range

$172,528-$201,375 USD

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