1

Elasticsearch Observability Engineer Jobs in Spring Valley, NY

SRE/DevOps Engineer

New York, NY

$62.25 - $82.75/hr

... observability tools like Datadog, Elasticsearch, and Grafana Labs, etc. * 3+ years of experience with containerization and orchestration technologies like Docker and Kubernetes. * 2+ years of ...

SRE/DevOps Engineer

New York, NY · On-site

$62.25 - $82.75/hr

... observability tools like Datadog, Elasticsearch, and Grafana Labs, etc. • 3+ years of experience with containerization and orchestration technologies like Docker and Kubernetes. • 2+ years of ...

SRE/DevOps Engineer

New York, NY · On-site

$62.25 - $82.75/hr

Versana is seeking a motivated SRE/DevOps Engineer with strong observability experience to join our ... observability tools like Datadog, Elasticsearch, and Grafana Labs, etc. 3+ years of experience with ...

Built self-hosted Elasticsearch infrastructure on Kubernetes, enabling real-time search across ... Introduced observability and tracing (metrics, logging, distributed tracing), improving our ability ...

next page

Showing results 1-20

Elasticsearch Observability Engineer information

How does an Elasticsearch Observability Engineer typically collaborate with development and operations teams?

As an Elasticsearch Observability Engineer, you frequently partner with both development and operations teams to design and implement monitoring solutions using the Elastic Stack. You'll help developers instrument applications for better traceability and support operations in troubleshooting and optimizing system performance. Regular communication is key, as you'll often lead workshops, create dashboards, and respond to incidents collaboratively. This cross-functional teamwork ensures observability solutions align with organizational goals and provide actionable insights.

What does an Elasticsearch Observability Engineer do?

An Elasticsearch Observability Engineer is responsible for designing, implementing, and maintaining observability solutions using the Elasticsearch stack (Elasticsearch, Logstash, Kibana, and Beats). Their primary role is to ensure that systems are monitored effectively, logs and metrics are collected and analyzed, and issues are detected and diagnosed quickly. They collaborate with development and operations teams to build dashboards, set up alerts, and optimize performance for monitoring infrastructure and applications. These engineers play a key role in improving system reliability and supporting incident response.

What are the key skills and qualifications needed to thrive as an Elasticsearch Observability Engineer, and why are they important?

To thrive as an Elasticsearch Observability Engineer, you need expertise in Elasticsearch, log management, and data analysis, often supported by a degree in computer science or a related field. Familiarity with observability tools such as Kibana, Logstash, Beats, and experience with cloud platforms and scripting languages like Python or Bash are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in this role. These competencies are vital for ensuring system reliability, quickly detecting issues, and delivering actionable insights for continuous improvement.

What is the difference between Elasticsearch Observability Engineer vs Elasticsearch Developer?

AspectElasticsearch Observability EngineerElasticsearch Developer
Primary FocusMonitoring, logging, and observability of Elasticsearch clusters and related systemsDeveloping, customizing, and optimizing Elasticsearch applications and integrations
Skills & CertificationsKnowledge of Elasticsearch, Prometheus, Grafana, scripting, and monitoring toolsProficiency in Elasticsearch APIs, Java, REST, and development frameworks
Work EnvironmentOperations teams, DevOps, SREs, cloud environmentsDevelopment teams, software engineers, backend developers

While both roles require expertise in Elasticsearch, the Elasticsearch Observability Engineer focuses on system monitoring and ensuring Elasticsearch health, whereas the Elasticsearch Developer concentrates on building and customizing Elasticsearch-based applications. Their skills and daily tasks differ, but both are essential in Elasticsearch-centric environments.

What cities near Spring Valley, NY are hiring for Elasticsearch Observability Engineer jobs?

Cities near Spring Valley, NY with the most Elasticsearch Observability Engineer job openings:

Infographic showing various Elasticsearch Observability Engineer job openings in Spring Valley, NY as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

Senior Software Engineer, Observability

CoreWeave

New York, NY • On-site

$139K - $220K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


CoreWeave rating

9.8

Company rating: 9.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 223 rated it services


Job description

What You'll Do:

Join CoreWeave's Observability team, responsible for building the systems that give our customers and internal teams unparalleled visibility into complex AI workloads. Our team empowers engineers to understand, troubleshoot, and optimize high-performance infrastructure at massive scale.

About the role:
As a Senior Software Engineer on the Observability team, you will design, build, and maintain core observability infrastructure spanning metrics, logging, tracing, and telemetry pipelines. Your day-to-day will involve developing highly reliable and scalable systems, collaborating with internal engineering teams to embed observability best practices, and tackling performance and reliability challenges across clusters of thousands of GPUs. You'll also contribute to platform strategy and participate in on-call rotations to ensure critical production systems remain robust and operational.

Who You Are:
  • 5+ years of experience in software or infrastructure engineering with a focus on designing, building, and operating large-scale distributed systems in production.
  • Proficient in Go or Python with experience writing clean, testable, and resilient production code.
  • Hands-on experience with Kubernetes, containerization, and microservices architectures in production environments.
  • Proven ability to design and deliver scalable, robust systems with high-quality code, automated testing, and progressive release strategies.
  • Skilled in decomposing complex problems in distributed architectures into manageable, well-scoped work.
  • Familiar with Helm and YAML-based configurations for deploying and managing services, including templating, automation, and infrastructure-as-code practices.
  • Experience participating in on-call rotations for critical production systems.
  • Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or related field.
Preferred:
  • Experience designing, operating, or scaling logging, metrics, or tracing platforms (e.g., Loki, ClickHouse, Elasticsearch, Prometheus, VictoriaMetrics, Grafana, Thanos).
  • Familiarity with data streaming systems for observability pipelines (e.g., Kafka, Kafka Connect).
  • Experience automating infrastructure provisioning using tools like Terraform.
  • Knowledge of OpenTelemetry for unified telemetry collection and instrumentation.
  • Exposure to modern AI workloads and GPU-based infrastructure, including large-scale training and inference.
Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.
  • You love building systems that provide deep visibility into complex, high-scale environments.
  • You're curious about observability, telemetry, and platform performance at massive scale.
  • You're an expert in distributed systems and engineering resilient, scalable software.

Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast!  We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

  • Be Curious at Your Core
  • Act Like an Owner
  • Empower Employees
  • Deliver Best-in-Class Client Experiences
  • Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is $139,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).


What CoreWeave employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom