Software Engineer, Cloud Engineer - Software, DevOps

Strength in Trust One Trust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, One Trust is once again redefining what responsible innovation looks like.

One Trust, the AI‑Ready Governance Platform, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse sted by thousands of organizations worldwide, One Trust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge 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.

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

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

Frequently evaluate new ideas and trends to identify potentially useful tools and techniques

Collaborate with different functional groups to identify gaps, 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 product feature velocity.

Improving 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

Your Experience Includes Bachelor's degree in computer science, Engineering, or related technical or business field4+ 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, metrics dashboards, and alerting. Able to articulate about some of the tools used for these tasksA good awareness of databases (ideally SQL/No

SQL)
Hands-on experience with observability tools (Datadog, Prometheus, Grafana, etc.)Knowledge with 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 (not just experimentation)
Knowledge with vector databases, embeddings, or RAG architectures for operational intelligence

Well-developed insight of prompt engineering and evaluation of LLM…