SRE, Data Management and Applications - USDS

p. You'll need to ensure the data, services and infrastructures are reliable, fault-tolerant, efficiently scalable and cost-effective.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Responsibilities:

• End-to-End Service Lifecycle Management: Participate in and continuously improve the full lifecycle of services, from initial design and development to deployment, ongoing operation, and iterative optimization.
• Ensure Reliability and Scalability: Maintain highly reliable, fault-tolerant, and scalable systems that are both cost-effective and efficient, ensuring data, services, and infrastructure meet business needs.
• Performance Troubleshooting: Diagnose and resolve performance issues, including slow queries, resource contention, and bottlenecks across distributed storage engines and services.
• Cluster Scaling and Data Growth: Plan and implement strategies for scaling clusters effectively to accommodate increasing data volume while optimizing performance and cost-efficiency.
• Documentation and Incident Response: Develop and maintain clear runbooks, Standard Operating Procedures (SOPs), and lead sustainable, blameless incident response practices with post-incident analysis to drive continuous improvement.
• Big Data System Design: Architect and implement robust, scalable, and extensible big data systems that support the core business and products, ensuring seamless data flow and system integration.
• On-Call Rotation: Participate in on-call rotations for production incidents, ensuring critical issues are addressed swiftly, with availability to troubleshoot and resolve problems outside of regular business hours as needed.
• Incident Ownership and Analysis: Take ownership of incidents during on-call hours, coordinate escalations as necessary, and conduct thorough post-incident analyses to identify root causes and implement preventive measures.

Qualifications

Minimum Qualifications:

• Bachelor's degree in Computer Science, a related technical field involving software or systems engineering, or equivalent practical experience.
• Experience writing code in Java, Scala, Go, Python, or a similar language. Strong scripting skills (e.g., Bash and Shell) for automation tasks.
• Experience with algorithms, data structures, complexity analysis, and software design: Solid understanding of how to build scalable and efficient systems.
• Basic SQL (MySQL, PostgreSQL, or similar): Strong understanding of traditional relational databases like MySQL or PostgreSQL. Ability to write queries, perform joins, use aggregate functions, and optimize basic SQL queries.
• Systems and Infrastructure: Knowledge of Linux/Unix systems, as most infrastructure is based on Linux. Familiarity with system internals, networking, and resource management (memory, CPU, storage).
• Hands-on experience with observability tools such as Prometheus, Grafana, & OpenTSDB: For monitoring, logging, and real-time performance tracking.
• CI/CD Tools: Familiarity with Continuous Integration/Continuous Deployment pipelines and tools (e.g., Jenkins, GitLab CI, Aegis , Bits).

Preferred Qualifications:

• Strong troubleshooting and debugging skills to work in a fast paced oncall environment.
• Familiarity with containerized deployments such as Docker/Kubernetes.
• Experience running production-grade services at scale: Understanding of cloud-native technologies, networking, and storage management to support high-availability and large-scale environments.
• Experience developing tools and APIs: To reduce human intervention in systems administration and improve automation and operational efficiency.
• Expertise in designing, analyzing, and troubleshooting large-scale systems: Experience with Hadoop, Spark, Hive, Presto, Kafka, Flink, or comparable solutions is a strong plus.

As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship or any immigration-related benefits.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $118657 - $246240 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.