Lead Product Engineer – (AIOps for Observability) - Remote
About the role
Job Description
AI & Intelligent Automation
- Design and build
agentic AI solutions
for observability, including autonomous agents capable of anomaly detection, root cause analysis, and automated remediation.
- Embed AI/ML capabilities into observability platforms to enable
predictive insights, anomaly detection, and intelligent alerting
.
- Develop
AIOps frameworks
that reduce noise, automate workflows, and improve incident response times.
- Leverage LLMs and AI orchestration frameworks to create
self-service diagnostics and operational assistants
.
- Architect and implement
end-to-end observability solutions
across logs, metrics, traces, and events.
- Enhance observability platforms (Datadog, Dynatrace, New Relic, AppDynamics, OTEL) with
custom integrations, automation, and AI enhancements
.
- Build
real-time insights and health analytics
to ensure system reliability, scalability, and performance.
- Lead development of
scalable, reusable platform components and APIs
for observability and automation.
- Build
developer-first tools
and frameworks that simplify instrumentation, monitoring, and diagnostics.
- Apply modern software engineering practices including
TDD, CI/CD, microservices, and cloud-native design
.
- Develop full-stack solutions (backend services, dashboards, automation tooling) using
Java/Spring Boot, Python, Node.js, and React
.
- Drive
automation-first strategies
to eliminate manual operations and improve efficiency.
- Build
self-healing systems
that automatically detect and remediate issues.
- Lead initiatives in
infrastructure-as-code, Observability-as-code and automated deployment pipelines
.
- Engineer highly resilient systems by focusing on
performance, scalability, and fault tolerance
.
- Define and evolve
enterprise observability architecture
, incorporating AI and automation as core principles.
- Collaborate with architecture, platform, and security teams to align solutions with enterprise standards.
- Champion
standardization, reusable patterns, and platform scalability
across the organization.
- Act as a
technical leader and mentor
, guiding teams in AI, observability, and engineering best practices.
- Partner with cross-functional teams to deliver
integrated, high-impact platform solutions
.
- Communicate technical concepts and strategies effectively to both technical and executive audiences.
- Foster a culture of
innovation, automation, and continuous improvement
.
Essential Skills
- 5+ years of engineering experience building
software, platforms, or automation solutions
, with a strong emphasis on observability and distributed systems.
- 4+ years of hands-on experience with
observability platforms
(Datadog, Dynatrace, OTEL).
- 3+ years of
software development experience
using Java (Spring Boot), Python, Node.js, or React.
- 2+ years of hands-on experience building
agentic AI systems
(autonomous agents, AI workflows, or AI-native applications).
- Proven ability to design and implement
AI-driven automation and AIOps solutions
.
- Experience integrating LLMs, orchestration frameworks, or AI pipelines into production systems.
- Strong experience with
Kubernetes and cloud-native architectures
.
- Hands-on experience in
hybrid environments (on-prem + cloud)
across Linux and Windows.
- Expertise in
API development, event-driven systems, and microservices architecture
.
- Familiarity with
CI/CD pipelines, infrastructure-as-code, and DevOps practices
.
- Strong problem-solving skills with a focus on
automation and innovation
.
- Excellent communication skills to articulate complex technical solutions.
- Passion for emerging technologies, particularly
AI in observability and operations
Supervisory Responsibilities
- This job does not have supervisory duties.
(#LI-NJ1)
Skills
Compensation
Not included in the source posting: about the role.
Skills
Who can apply
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