AI Observability Software Engineer

Strive Solutions; Chicago (IL); On-site; USD 130,000 - 170,000; Full time

Job summary

Strive Solutions is seeking a Lead Product Engineer to design and build agentic AI solutions that enhance observability across finance and insurance platforms. You will drive the technical vision for AI-powered monitoring tools, shaping systems that collect telemetry, logs, and metrics to improve issue detection and prevention.

You will collaborate with data, SRE, and product teams to define requirements, architect scalable services, and ensure security and compliance across deployments while

Qualifications

• Strong product-oriented engineering leadership with experience building AI-enabled monitoring/observability systems.
• Expertise in integrating telemetry, logs, and metrics into scalable, reliable services.
• Ability to architect for security and compliance while partnering across technical teams.

Responsibilities

• Lead the technical vision and delivery of AI-powered monitoring tools.
• Integrate telemetry, logs, and metrics into user-friendly products for faster issue detection, diagnosis, and prevention.
• Partner with data, SRE, and product teams to define requirements and architect scalable services.
• Ensure reliability, security, and compliance across deployed solutions.
• Mentor engineers and champion modern engineering practices.
• Help shape an AI and observability strategy through collaboration and continuous learning.

Skills

AI monitoring

Telemetry

Mentorship

Security & compliance

Job description

Lead Product Engineer

to design and build agentic AI solutions that improve observability across finance and insurance platforms.

Key Responsibilities

• Lead the technical vision and delivery of AI-powered monitoring tools.
• Integrate telemetry, logs, and metrics into user-friendly products for faster issue detection, diagnosis, and prevention.
• Partner with data, SRE, and product teams to define requirements and architect scalable services.
• Ensure reliability, security, and compliance across deployed solutions.
• Mentor engineers and champion modern engineering practices.
• Help shape an AI and observability strategy through collaboration and continuous learning.

Qualifications & Skills

• Strong product-oriented engineering leadership with experience building AI-enabled monitoring/observability systems.
• Expertise in integrating telemetry, logs, and metrics into scalable, reliable services.
• Ability to architect for security and compliance while partnering across technical teams.
• Proven mentorship and ability to drive quality through modern engineering practices.