Job description

About the Role

We are seeking a highly experienced and hands-on Principal Software Engineer to help define and build the next generation of our enterprise Observability and Operational Intelligence Platform. This role combines deep full-stack engineering expertise, platform architecture leadership, product strategy, and modern observability practices.

The ideal candidate will have experience owning product direction, platform architecture, and technology strategy for enterprise-scale engineering solutions. Prior experience building observability, monitoring, operational intelligence, AIOps, or telemetry-driven platforms is highly desirable.

Key Responsibilities

Own and drive the technical product vision, platform architecture, and technology strategy for a cloud-native observability and intelligence platform.
Lead architecture, design, and development of scalable, resilient, and highly available enterprise solutions.
Build modern user experiences using React, TypeScript, and contemporary front-end frameworks.
Design and develop backend services, APIs, microservices, telemetry pipelines, and intelligence services.
Define platform standards, technology selections, and engineering best practices aligned with long-term product strategy.
Design and optimize large-scale telemetry ingestion, aggregation, correlation, and analytics pipelines supporting real-time operational intelligence.
Drive innovation across Monitoring, Observability, Event Correlation, AIOps, Operational Analytics, Predictive Intelligence, and Self-Healing Automation.
Evaluate emerging technologies, market trends, and customer needs to continuously evolve product capabilities and roadmap direction.
Partner with engineering, operations, and business stakeholders to translate enterprise challenges into scalable platform solutions.
Establish engineering excellence across reliability, performance, automation, security, scalability, and developer experience.
Mentor engineers, influence technical direction across teams, and serve as a trusted architecture leader.

Qualifications

10+ years of software engineering experience with strong expertise in full-stack product development.
Proven experience owning and delivering technical product direction, platform architecture, and enterprise technology strategy.
Expert-level proficiency in React, TypeScript, JavaScript, HTML/CSS, and modern UI architectures.
Strong backend engineering experience using .NET, Java, Node.js, or Python.
Demonstrated experience designing enterprise-scale architectures, distributed systems, microservices, event-driven architectures, and cloud-native platforms.
Strong experience with Azure (preferred), AWS, or GCP, Kubernetes, CI/CD, DevOps, Infrastructure as Code, and platform engineering practices.
Experience designing and optimizing large-scale telemetry ingestion, processing, event correlation, and analytics architectures supporting real-time operational intelligence.
Deep understanding of observability concepts including Metrics, Logs, Traces, Dashboards, Alerting, SLO/SLI Management, Incident Management, Operational Analytics, and Platform Reliability Engineering.
Experience with leading observability platforms such as Datadog, Dynatrace, Grafana, Splunk, New Relic, AppDynamics, Elastic, OpenTelemetry, or similar technologies.
Experience designing AI-powered intelligence layers leveraging:

Machine Learning and Predictive Analytics
Agentic AI Workflows
LLM-based Operational Assistants
Graph-based Correlation and Dependency Mapping
Automated Incident Detection and Triage
Root Cause Analysis and Remediation Recommendations

Experience translating customer feedback, operational insights, and industry trends into platform capabilities and product roadmap investments.
Strong product mindset with a focus on customer value, business outcomes, innovation, and engineering excellence.

Preferred Experience

Experience building enterprise Observability, AIOps, Operational Intelligence, Reliability Engineering, IT Operations, Monitoring, or Platform Engineering products.
Experience designing systems that process and analyze high-volume telemetry data at scale.
Experience building intelligent platforms that combine telemetry, AI/ML, automation, and operational workflows.

Exposure to SRE practices, self-healing automation, anomaly detection, capacity prediction, and operational decision intelligence.

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