DevOps

Find failing PR checks, read their logs and apply focused fixes

Check EAS Update crash rates, install counts and rollout health per channel

Write EAS workflow YAML files for Expo CI/CD and build pipelines

Design scripts and cron jobs so they can be safely re-run without side effects

Make shell and Python batch jobs detect, log and handle failures instead of ignoring them

Add structured logs, metrics and health checks before shipping a service

Manage Docker containers, images, volumes and Compose stacks from the CLI

Build custom AMIs and container images with EC2 Image Builder pipelines

Review a PR, MR or local branch for risk and rollback issues before merging

Answer questions on ARC Region switch plans, workflows and recovery time

Write, deploy and troubleshoot AWS infrastructure in TypeScript or Python with CDK

Author, validate and debug AWS CloudFormation templates with security scans

Set up CI/CD pipelines with CodePipeline, CodeBuild and CodeDeploy

Install and troubleshoot Network Flow Monitor agents on EC2 instances

Build and debug CloudWatch logs, alarms, dashboards and X-Ray tracing

Run the define, test and operate resilience cycle across Resilience Hub, FIS and ARC

Run a deep AWS DevOps Agent root-cause investigation for an outage or alarm

Investigate outages and 5xx errors on a live AWS workload and find root causes

Set up ARC routing controls, safety rules and zonal shift for failover

Run and triage Resilience Hub failure mode assessments and fix the findings

Set up Resilience Hub with SLO policies, systems and a first assessment

Run org-wide Resilience Hub assessments across AWS accounts with cross-account roles

Design a tiered resilience program with RTO and RPO targets and test cadence

Set up encrypted SNS topics and email or SMS alerts for CloudWatch alarms

Set up CloudWatch Application Observability spaces, access and instrumentation

Write secure AWS Terraform and run a policy gate on the generated code

Query Datadog logs, crash reports and alerts to investigate production issues

Run coding agent harnesses inside isolated Docker or local sandboxes

Pull Sentry issues, events and logs to find root causes of production errors

Diagnose failing CI pipelines, build errors and test failures

Automate version bumps, changelog promotion, tags and GitHub releases

Instrument browser apps with Application Insights for real user monitoring

Create Application Insights components, web tests and API keys in .NET

Send custom logs to Azure Monitor through data collection rules in Java

Send custom logs to Log Analytics through the Logs Ingestion API in Python

Export OpenTelemetry traces and metrics to Application Insights from Java

Export OpenTelemetry traces, metrics and logs to Application Insights in Python

Add Application Insights to a Python app with one-line auto-instrumentation

Add tracing, metrics and logs to Node.js apps with Application Insights

Run Kusto log queries and metric queries against Azure Monitor from Java

Query Log Analytics workspaces and Azure Monitor metrics from Python

Design timeouts, retries, circuit breakers and observability for production systems

Generate SLURM sbatch job scripts and check HPC resource requests for simulations

Run the pre-release gate with responsive and render checks and a release checklist

Search Datadog logs, query metrics and trace requests from the command line

Query CI pipeline build history and trigger builds through the BK-CI MCP

Understand and change pipeline models made of stages, containers and elements

Explain CI pipeline model JSON covering stages, jobs, matrices and plugin steps

Build CI pipeline plugins with task.json inputs, outputs and multi-language runtimes