Senior Software Engineer - SRE

Job Overview

Engage and partner with various Engineering, Operations, and Product teams to design, deliver, and maintain a highly available and performant application platform.

Responsibilities

• Build and implement application observability and platform monitoring tools to continuously improve the customer experience.
• Eliminate toil by automating processes, tuning alerts, and improving code where it is most needed.
• Frequent evaluate new ideas and trends to identify potentially useful tools and techniques.
• Collaborate with different functional groups to identify gaps, prioritize, and resolve issues.
• Define, implement, and maintain SLIs and SLOs aligned with customer experience.
• Design and instrument SLIs such as latency, error rates, and availability across critical services.
• Manage and enforce error budgets to balance system reliability with product feature velocity.
• Improve alert quality by reducing noise and focusing on actionable, high-signal alerts.
• Embed with product teams to review architectures and catch reliability risks early.
• Share your knowledge and experience with the Engineering organization.
• Share your findings with technical leadership and senior management.
• Build scripts in python, bash, java, or ruby for operational automation and incident response.

Qualifications

• Bachelor's degree in computer science, engineering, or related technical or business field.
• 4+ years of application development experience with Java or other equivalent language.
• Experience with Spring environment.
• Experience in cloud-based infrastructure (Azure, AWS, GCP, etc.).
• Experience with factors that affect software application performance at different levels, including database performance, network performance, CPU utilization, JVM tuning, memory analysis, thread management, and query performance.
• Knowledge of the importance of centralizing logging, metrics dashboards, and alerting.
• Good awareness of databases (ideally SQL/NoSQL).
• Hands‑on experience with observability tools such as Datadog, Prometheus, Grafana, etc.
• Knowledge of CI/CD pipelines and infrastructure‑as‑code (Terraform, Helm, Jenkins, GitLab).
• Build and operate AI‑assisted incident response systems (root cause analysis, log summarization, anomaly triage).
• Develop or integrate LLM‑based tools to reduce MTTR and improve alert quality.
• Apply machine learning techniques for anomaly detection, capacity prediction, or failure pattern analysis.
• Experience deploying AI systems in production.
• Knowledge of vector databases, embeddings, or RAG architectures for operational intelligence.
• Well‑developed insight of prompt engineering and evaluation of LLM outputs in the reliability workflow.
• Experience with Kubernetes and container orchestration (EKS/AKS/GKE).
• Experience with distributed systems at scale.
• Familiarity with service meshes and microservices architectures.

Nice to Have

• Experience with chaos engineering tools (Gremlin, Chaos Monkey).
• Background in product‑facing services with high traffic scale.
• Understand how to use incident management platforms, including tools like PagerDuty for alerts and DataDog for monitoring.

Salary Range

$116,475—$174,712.50 USD (for California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington‑based candidates).

Location

We are embracing an office‑first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person.

Benefits

Benefits include comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company‑paid privacy certification exam fees, and more. Specific benefits differ by country.

Equal Employment Opportunity

OneTrust provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.