Software Engineer III – Data Platform
at ID.me · 1001-5000 employees
Series E · $340M · Sep 2025
- Work model
- Onsite
- Location
- Mountain View, California, United States
- Posted
- 5d ago
javascriptpythongojavarubyawsgcpazurekubernetesdockerterraformansible
at ID.me · 1001-5000 employees
ID.me operates a secure digital identity wallet offering identity proofing, multi-factor authentication, and group-affiliation verification, compliant with NIST 800-63-3 IAL2/AAL2 and used by government, healthcare, and retailers.
<div class="content-intro"><h2><strong>Company Overview</strong></h2> <p>ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit <a href="https://network.id.me/">https://network.id.me/</a>.</p> <p><span style="font-weight: 400;">ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings.</span></p> <p><span style="font-weight: 400;">At ID.me, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found <a href="https://insider.id.me/candidate-ai-use-in-interviewing/" target="_blank">here</a>.</span></p></div><p><strong>Role Overview</strong><strong><br></strong>We 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. </p> <p> </p> <p>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.</p> <p>This role is based out of our <strong>Mountain View, CA</strong> or <strong>McLean, VA</strong> offices and requires <strong>full-time in-office attendance, 5 days per week</strong>.</p> <p><strong>Responsibilities</strong></p> <ul> <li>Build and maintain <strong>automated reliability tooling</strong>, infrastructure as code, and observability systems that enhance uptime and service performance.</li> <li>Develop <strong>monitoring, logging, and alerting frameworks</strong> (e.g., Prometheus, Grafana, OpenTelemetry) to detect and remediate issues proactively.</li> <li>Implement <strong>automated architectural reviews and reliability guardrails</strong> for agent-developed applications to ensure machine-generated code meets long-term maintainability and performance standards.</li> <li>Partner with engineering teams to design and implement <strong>scalable, fault-tolerant systems</strong> that meet defined SLIs and SLOs.</li> <li>Automate repetitive operational tasks and develop <strong>self-healing and auto-remediation mechanisms</strong> to minimize human intervention.</li> <li>Participate in <strong>on-call rotations</strong> and lead incident response efforts, performing post-incident reviews and driving systemic improvements.</li> <li>Improve the <strong>deployment and release process</strong> using CI/CD pipelines and progressive delivery techniques to ensure stability and safety.</li> <li>Champion <strong>observability, reliability, and operational readiness reviews</strong> as part of the development process.</li> <li>Collaborate with Security and Compliance teams to ensure production systems meet <strong>FedRAMP, NIST, and internal policy requirements</strong>.</li> <li>Contribute to documentation, runbooks, and internal tooling to enhance knowledge sharing and operational maturity across teams.</li> </ul> <p><strong>Minimum Qualifications</strong></p> <ul> <li>Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.</li> <li>3-5 years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering.</li> <li>2+ years of hands-on experience managing and scaling services in <strong>cloud environments</strong> such as AWS, GCP, or Azure.</li> <li>1+ years proficiency in at least one modern programming language (e.g., Java, Go, Python, Ruby, JavaScript).</li> </ul> <p><strong>Preferred Qualifications</strong></p> <ul> <li>Strong understanding of <strong>containerization and orchestration</strong> technologies (Docker, Kubernetes).</li> <li>Experience implementing and maintaining <strong>CI/CD pipelines</strong> and automation frameworks.</li> <li>Working knowledge of <strong>observability systems</strong>—metrics, tracing, logging, and alerting.</li> <li>Experience building <strong>automated recovery, failover, or chaos-engineering systems</strong> to validate reliability.</li> <li>Familiarity with <strong>event-driven architecture</strong> and asynchronous processing systems.</li> <li>Knowledge of <strong>distributed systems design, load balancing, and performance