Sobre esta vaga de Staff Software Engineer - Data Platform na ID.me
Company Overview
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 https://network.id.me/.
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.
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 here.
Role Overview
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. This engineer will be responsible for ensuring the reliability, scalability, and performance of the systems that move, process, and store data across the company.
In this role, you’ll own and operate key data infrastructure components — including event streaming platforms, relational databases, and batch processing systems — while driving automation and engineering best practices that improve data platform reliability and developer efficiency. You’ll partner closely with Platform Engineering, Site Reliability Engineering, and Compliance teams to ensure ID.me’s data ecosystem meets demanding operational, security, and regulatory requirements.
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.
- Establish standards for data infrastructure monitoring, alerting, and capacity planning, ensuring proactive issue detection.
- Drive operational excellence by improving resilience, reducing toil, and implementing self-healing or automated recovery mechanisms.
- Evolve and optimize data pipelines that support downstream analytics, identity verification, and machine learning systems.
- 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.
- Mentor engineers and advocate for reliability-focused engineering culture across teams.
- Data lake architecture — Design and build the data lake storage and compute topology (object storage, partitioning, lifecycle, tiering) to support batch and streaming workloads.
Minimum Qualifications
- 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.
Preferred Qualifications
- Deep expertise in building and operating data systems—including relational databases, streaming, and batch platforms—in production environments.
- 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).
- Contributions to open-source data infrastructure projects or strong community engagement in the data reliability space.
- Passion for performance engineering, system design, and mentoring others to deliver operational excellence at scale.
- AI-assisted development — Demonstrable experience using AI developer tools (e.g., code generation, test generation, query synthesis) to accelerate platform automation while validating outputs through code review and tests.
- Data-aware LLM usage — Ability to safely use large language models for tasks such as SQL generation, data lineage summarization, and runbook drafting while ensuring no sensitive data is exposed to external models and all prompts and outputs are logged for audit.
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.
ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.
Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy.
ID.me participates in E-Verify.
