Observability Engineer

NoBSBoston, MA

About The Position

NoBS Tech is a rapidly growing Datadog Premier Partner specializing in advanced observability, monitoring, and cloud solutions for clients who value innovative, resilient, and data-driven operations. We pride ourselves on building a culture that thrives on technical excellence, collaboration, and a dedication to pushing boundaries in cloud observability. Joining us means being part of a high-impact team that values technical excellence, autonomy, entrepreneurship, and a collaborative spirit. You'll work on genuinely interesting technical challenges with customers who are past the "should we do observability?" phase and into "how do we do it right?" You get customer problems interesting enough to think about after hours. You get technical freedom to solve them correctly. You get to work with people who care about craft. You don't get meetings about meetings, approval chains for config changes, no Jira theatre, or pretending broken things work fine! If you're tired of observability being an afterthought and want to work somewhere it's the main thought, let’s talk!

Requirements

  • Strong experience with Python, Go, or Bash (other languages welcome)
  • Kubernetes and Docker (you've debugged pods at 3 AM)
  • Hands-on knowledge of AWS, Azure, GCP, or physical data center architecture
  • Expertise in log processing and automation, with tools such as Ansible, Puppet, Chef, or Salt.
  • Datadog: Preferred - expertise with APM, custom metrics, log pipelines, and platform integration OR equivalent hands-on experience with observability tools such as: Splunk, Dynatrace, New Relic, AppDynamics, Prometheus, Grafana, or any other open-source observability tech
  • If you've built complex observability solutions elsewhere and have a strong infrastructure/SRE background, we can bring you up to speed on Datadog

Nice To Haves

  • You've worked across multiple platforms (migrations, integrations, or multi-tool environments) and can articulate the trade-offs between them
  • Proven experience implementing OTel for distributed tracing, metrics, and logging across complex application environments. You've instrumented production systems, understand sampling strategies, and can debug why spans aren't propagating correctly
  • Experience working with: JVM internals, garbage collection, and performance characteristics
  • Debugging memory leaks in production, knowing why that thread pool is sized exactly that way, or reading a heap dump and telling a story - to name a few…
  • A high tolerance for fast-paced, evolving environments and a preference for taking on new challenges.
  • Insatiable desire to learn and grow with a strong commitment to continuous innovation in the observability and cloud monitoring space.
  • Ability to communicate technical concepts clearly and directly… We practice "Radical Best Intent" here, which means addressing problems head-on without sugarcoating.

Responsibilities

  • Build observability solutions that actually work. This isn't a role where you monitor dashboards all day. You'll work directly with customers to understand their systems, then design, guide, and implement frameworks/solutions that give them the insights they actually need.
  • Translating vague observability pain into observability gain.
  • Work directly with customers to identify key operational needs, providing them with customized observability solutions that translate into business value.
  • Build and nurture strong relationships with customers, ensuring clear and effective communication around technical requirements and deliverables.
  • Interpret and refine abstract customer requests, working with our engineering team to develop clear, practical action items.

Benefits

  • We don't tolerate bureaucracy and big egos but love technology and helping our customers and partners succeed.
  • If you're ready to bring your skills to a company that will amplify your impact, let's grow together.
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