Senior Observability Engineer

At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to grow through stretching themselves, where they can work on innovative products and projects, and where employees are supported and engaged in doing so.

We are seeking a Mid-Level Observability Engineer to help build, maintain, and enhance our enterprise monitoring and observability capabilities across cloud and hybrid environments. This role is hands-on and execution-focused, supporting Dynatrace and AWS Cloud Watch implementations, dashboard development, alert tuning, instrumentation, and operational reporting for critical platforms and applications. The ideal candidate will partner with Cloud Engineering, Dev Ops, SRE, and application teams to improve service visibility, strengthen monitoring coverage, and embed observability practices into ongoing operational and delivery workflows.

Observability Platform Ownership & Architecture

Design, deploy, and optimize enterprise-grade observability solutions using Dynatrace SaaS or Managed, including One Agent, Active Gate, full-stack monitoring, RUM, synthetic monitoring, Davis AI, distributed tracing, dashboards, and log monitoring on Grail.

Define platform standards for tagging, management zones, network segmentation, alerting profiles, access control, dashboards, and telemetry governance across hybrid environments.

Architect observability coverage across AWS and on-prem platforms, including containerized and serverless workloads such as EKS, ECS, Lambda, EC2, RDS, and API Gateway.

Lead migration from legacy monitoring tools into Dynatrace and drive closure of enterprise monitoring gaps through structured onboarding and platform modernization.
2. Application Performance Management & Incident Triage

Configure and optimize APM instrumentation for distributed applications, APIs, microservices, databases, and business transactions.

Serve as the escalation point for complex incidents, using Smartscape, Distributed Traces, Davis AI, Live Debugger, and method-level diagnostics to accelerate root cause identification and reduce MTTR.

Define and maintain SLIs, SLOs, and error budgets, aligning platform telemetry to business reliability targets and engineering commitments

Lead post-incident reviews using observability evidence and drive corrective improvements in instrumentation, thresholds, dashboards, and alerting logic
3. Telemetry Automation & Observability as Code

Standardize monitoring configurations using Terraform and/or Dynatrace Monaco, including alerting profiles, dashboards, SLOs, tagging rules, synthetic tests, and management zones

Build automation for platform operations, integration workflows, reporting, and remediation using Python, Bash, or Power Shell, along with REST APIs and webhooks.

5–10 years of experience in Observability, Monitoring Engineering, SRE, APM, Dev Ops, or Infrastructure Engineering, including several years of hands‑on Dynatrace administration and architecture.

Deep hands‑on expertise with Dynatrace across full-stack monitoring, Davis AI, Smartscape, RUM, synthetic monitoring, distributed tracing, Grail log monitoring, DQL, management zones, Workflows/Automation Engine, and access governance.

Strong experience with AWS cloud services, especially Cloud Watch, EKS, ECS, Lambda, EC2, RDS, API Gateway, networking, and modern cloud architecture patterns.

Advanced knowledge of Kubernetes and cloud‑native observability patterns, including instrumentation for microservices and distributed systems.

Strong proficiency in observability‑as‑code using Terraform and/or Monaco, plus scripting in Python, Bash, or Power Shell

Solid understanding of…