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OneTrust is seeking a Senior Software Engineer to join the Development team. You will partner with Engineering, Operations and Product to design, deliver, and maintain a highly available, high‑performing application platform.
You will build observability and incident response tooling, reduce toil, define SLIs/SLOs, tune alerts, and collaborate across functions to identify gaps and resolve reliability risks. Experience with CI/CD, Kubernetes, and cloud environments is required.
The speed of AI adoption is exposing the next governance gap
We're looking for a Senior Software Engineer that will report to the Development Manager / R&D Head. In this role, you will part of the R&D Team that works on mission-critical applications.
Engage and partner with various Engineering, Operations, and Product teams to design, deliver, andmaintaina highly availableand performant application platform.
Build and implement application observability and platform monitoring tools to continuously improve the customer experience
Eliminatetoil by automating processes, tuning alerts, and improving code where it is most needed
Frequently evaluatenew ideasand trends toidentifypotentially useful tools and techniques
Collaborate with different functional groups toidentifygaps, prioritize, and resolve issues
Defining, implementing, and maintaining 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 productfeaturevelocity.
Improvingalertquality 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
Bachelor's degree in computer science, Engineering, or related technical or business field
4+ yrs. 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 the factors that affect software application performance at different levels. These factors include database performance, network performance, CPU utilization, JVM tuning, memory analysis, thread management, and query performance.
A knowledge of the importance of centralizing logging,metricsdashboards, and alerting. Able to articulate about some of the tools used for these tasks
A good awareness of databases (ideally SQL/NoSQL)
Hands-on experience with observability tools (Datadog, Prometheus, Grafana, etc.)
Knowledge with CI/CD pipelines and infrastructure-as-code (Terraform, Helm,jenkins,gitlab)
Build andoperateAI-assisted incident response systems (root cause analysis, log summarization, anomaly triage)
Develop or integrate LLM-based tools to reduce MTTR and improvealertquality
Apply machine learning techniques for anomaly detection, capacity prediction, or failure pattern analysis
Experience deploying AI systems in production (not just experimentation)
Knowledge with vector databases, embeddings, or RAG architectures for operational intelligence
Well-developed insight of prompt engineering and evaluation of LLM outputs in the reliability workflow
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. This includes using tools like PagerDuty for alerts. It also includes working with DataDog for monitoring.
For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits.
Salary Range
$116,475 — $174,712.50 USD