SRE — AI-Native Platform, CI/CD & Observability

Jecona; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Jecona seeks a Site Reliability Engineer to join a fully remote, US-based team building an AI-native platform for contact centers. You’ll own CI/CD, observability, and large-scale production infrastructure on a Kubernetes/GCP stack, while shaping platform engineering directions.

You will work with Node/TypeScript and Python, use Terraform for automation, and contribute to harnessing AI agents and incident response in a distributed, remote-first environment.

Qualifications

• 6+ years in software development enablement roles.
• Experience owning CI/CD platforms end to end, including caching, architecture, and developer self-service.
• Familiarity with Node/TypeScript, Python, Terraform; Kubernetes/Helm.
• Observability experience: logs/metrics/tracing, monitoring/alerting, incident management.
• Experience working in fully remote teams.

Responsibilities

• Contribute to patterns, design, and implementation of our domains; help shape the future of platform engineering.
• Build and improve systems that help reduce toil and enable the production infrastructure to remain available and operable under large-scale real-time traffic.
• Extend and iterate our agent harness: unsupervised AI agents used by dev teams; include CI, sandboxes, guardrails, validation.
• Own and improve CI/CD pipelines and developer tooling: build and test performance, deployment ergonomics, and paved paths for new services.
• Participate in on-call rotation and incident management to ensure platform uptime and quality.

Skills

Software enablement

CI/CD ownership

AI tooling usage

Remote collaboration

Cloud-native architectures

Tools

Node/TypeScript

Python

Terraform

Kubernetes/Helm

Datadog

Prometheus/Grafana

Job description

Jecona seeks a Site Reliability Engineer to join a fully remote, US-based team building an AI-native platform for contact centers. You’ll own CI/CD, observability, and large-scale production infrastructure on a Kubernetes/GCP stack, while shaping platform engineering directions.

You will work with Node/TypeScript and Python, use Terraform for automation, and contribute to harnessing AI agents and incident response in a distributed, remote-first environment.