Senior Reliability Engineer (AWS/Python)

TL;DR

Senior Reliability Engineer (AWS/Python): Operating, observing, and improving reliability of distributed AWS and Kubernetes systems with an accent on observability, operational maturity, and automated responses to production behavior. Focus on designing observability strategies, defining SLIs/SLOs/alerting, and enhancing autoscaling, self-healing, and remediation mechanisms.

Location: LatAm, 100% Remote

Company

Leading nearshore staff augmentation provider headquartered in New York with 600+ professionals partnering with U.S. companies on digital transformation.

What you will do

• Design, implement, and improve observability strategies including metrics, logs, traces, alerts, and dashboards.
• Analyze production system behavior to identify failure modes, bottlenecks, and reliability risks.
• Evolve AWS CDK and CDK8s constructs focused on observability, autoscaling, and safeguards.
• Maintain core platform components like VPC, EKS, RDS, OpenSearch, MSK exposing operational signals.
• Operate Kubernetes addons including ingress, cert-manager, autoscalers, monitoring stacks.
• Define SLIs, SLOs, alerting strategies and improve automated responses and incident recovery.
• Collaborate on production incidents, root cause analysis, and long-term reliability improvements.
• Own CI/CD for IaC and observability components applying SRE principles.

Requirements

• 5+ years in Site Reliability Engineering, Platform Engineering, or Infrastructure with production systems support.
• Strong observability operations: metrics, logs, traces, dashboards, alerts for complex systems.
• Hands-on AWS (VPC, IAM, RDS, MSK, S3, CloudWatch) and Kubernetes (Helm, RBAC, ServiceAccounts).
• Fluency in Python and IaC with AWS CDK, CDK8s or equivalent.
• Prometheus, Grafana, alert tuning, noise reduction, incident-driven improvements.
• Experience improving existing systems for operational excellence and reliability using observability data.

Nice to have

• Experience with Spark on Kubernetes, Argo, or Kafka-based batch pipelines.

Culture & Benefits

• 100% remote work with freedom to choose your location (laptop and internet required).
• Highly competitive USD compensation exceeding market rates.
• Paid time off to support well-being and recharge.
• Autonomy to manage time focusing on results.
• Work on high-impact projects with top U.S. companies.
• Culture prioritizing work-life balance, engagement activities, and collaboration with seasoned experts.
• Diverse multicultural team across 25+ countries.