Write engineering-grade prompts, including complex, well-structured System Prompts, using appropriate prompting techniques to consistently improve AI output quality.
Critically review AI-generated code, identify hallucinations, and perform deep optimizations to ensure production-grade outcomes
Design and deploy scalable APIs and microservices
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Observability Implementation: You will support the observability culture by directly assisting developers to onboard their applications onto OpenTelemetry (Otel) for distributed tracing and metric collection. You will deploy and maintain the Grafana LGTM stack (Loki, Tempo, Mimir) and Grafana Alloy to implement designated alerting and notification strategies.
On-Prem Platform Stability: You will maintain and optimize our established on-premise infrastructure to ensure high availability and stability. This includes supporting our Docker Swarm cluster and RHEL-based internal VMs across segmented networks (Dev, Staging, Prod) according to standard operating and audit procedures.
Infrastructure as Code (IaC) & Configuration Management: You will write, maintain, and version-control clear IaC scripts (such as Ansible, Terraform) to consistently provision AWS infrastructure and maintain configuration baselines across both cloud and on-premise environments.
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Run a real decision cadence. Every initiative has a named decision-owner and a standing checkpoint — no initiative sits in limbo waiting on "someone to decide."
Partner with Engineering as a peer, not a queue. Work directly with engineering leads on feasibility and sequencing up front, instead of discovering capacity constraints after commitments are made.
Own outcomes end-to-end — from opportunity sizing through UAT to post-launch metrics — and report actual turnaround time against target, not just status.
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