[Remote] Senior Cloud Engineer, Observability

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Note: The job is a remote job and is open to candidates in USA. Bayer is a company driven to solve the world’s toughest challenges in health and agriculture. They are seeking a Senior Cloud Engineer specializing in observability to enhance their AWS platform, focusing on telemetry, monitoring, and reliability improvements.


Responsibilities

  • Be the hands-on SME for our observability toolchain (e.g., Datadog, CloudWatch, OpenSearch), including log pipelines, tracing/telemetry standards, and platform templates
  • Run office hours, produce exemplars, and pair with teams to implement 'known-good' instrumentation and alerting
  • Triage and resolve observability-related platform requests (new service onboarding, log/metric gaps, noisy alerts, dashboard standards) with clear ownership and measurable outcomes
  • Establish and operationalize SLIs/SLOs for key platform components and enable teams to define service SLOs without reinventing the wheel
  • Maintain opinionated 'golden paths' for logging (standard fields/tags, retention, routing, searchability), metrics (naming conventions, cardinality guardrails, standard RED/USE views), tracing (service maps, critical spans, propagation standards), and dashboards (starter dashboards by service type + curated views for platform reliability)
  • Provide reusable templates for alerting patterns (latency, error-rate, saturation, dependency failures), tuned for actionable paging vs. noise
  • Reduce MTTR by improving detection, triage paths, runbooks, and 'what changed' visibility
  • Drive reliability reviews focused on observability gaps: missing signals, unclear ownership, bad alerts, and uninstrumented failure modes
  • Partner with delivery teams to turn recurring incidents into durable fixes (instrumentation + alerting + automation + documentation)
  • Embed observability checks into CI/CD and platform workflows (e.g., telemetry guardrails, dashboard/monitor templates, logging standards checks)
  • Partner with Security/Compliance to ensure telemetry supports auditability and incident investigation without ad-hoc effort
  • Define and report platform observability KPIs: alert noise rate, % actionable alerts, MTTA/MTTR trends, onboarding time to 'fully observable,' runbook coverage, incident recurrence
  • Run lightweight experiments to improve signal quality (threshold tuning, monitor redesign, dashboard UX), and ship improvements like a product owner
  • Create cost-aware telemetry standards (log volume controls, metric cardinality guidance, sampling strategies, retention tiers)
  • Help teams optimize spend while improving reliability outcomes ('cheaper + better' logging/metrics patterns)
  • Serve as a trusted partner to delivery units, Security, and Data—turning pain points into paved-road improvements
  • Mentor engineers and uplift organizational practices for incident response, reliability signals, and operational excellence

Skills

  • Bachelor's in computer science/engineering or equivalent experience
  • 5+ years hands-on AWS experience operating production workloads
  • Deep practical experience with observability in production, including:
  • Datadog and/or CloudWatch (dashboards, monitors/alerts, log search, correlation)
  • Designing actionable alerts (noise reduction, ownership, runbook-first alerts)
  • Defining/using SLIs/SLOs and reliability metrics to drive behavior
  • Strong proficiency with Infrastructure as Code (Terraform; CloudFormation a plus)
  • Strong programming for automation/tooling (Python, Go, or similar)
  • Solid grasp of cloud architecture, networking, and security fundamentals
  • Experience productizing observability enablement (templates, golden paths, standards, onboarding workflows)
  • CI/CD at scale (GitLab pipelines), including integrating reliability/telemetry guardrails into delivery workflows
  • Logging/telemetry platforms beyond CloudWatch/Datadog (e.g., ELK/OpenSearch) and experience managing scale concerns (volume, retention, cardinality)
  • Container platforms (ECS/EKS) and common AWS data services (RDS/Aurora, S3/lake patterns, MSK/Kinesis)
  • FinOps experience related to observability (tagging, allocation, optimizing telemetry cost)
  • Relevant AWS certifications and excellent communication skills

Benefits

  • Health care
  • Vision
  • Dental
  • Retirement
  • PTO
  • Sick leave

Company Overview

  • Bayer is a life science company that specializes in the areas of health care and agriculture. It was founded in 1863, and is headquartered in Leverkusen, Nordrhein-Westfalen, DEU, with a workforce of 10001+ employees. Its website is https://www.bayer.com.

    • Company H1B Sponsorship

  • Bayer has a track record of offering H1B sponsorships, with 62 in 2025, 71 in 2024, 76 in 2023, 141 in 2022, 138 in 2021, 117 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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