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Elasticsearch Observability Engineer Jobs in Florida

DevOps Engineer

Miami, FL · On-site

$51 - $70/hr

Deploy and operate EKS clusters with keeping solid security, observability, cost efficiency ... Distributed tracing systems like Zipkin, ElasticSearch APM Bonus Points for Experience with

DevOps Engineer

Miami, FL · On-site

$51 - $70/hr

Implement and maintain observability stacks - VictoriaMetrics, VictoriaLogs, Grafana, Alertmanager ... Distributed tracing systems like Zipkin, ElasticSearch APM Bonus Points for Experience with

DevOps Engineer

Miami, FL · On-site

$51 - $70/hr

Implement and maintain observability stacks - VictoriaMetrics, VictoriaLogs, Grafana, Alertmanager ... Distributed tracing systems like Zipkin, ElasticSearch APM Bonus Points for Experience with

DevOps Engineer

Miami, FL · On-site

$51 - $70/hr

Implement and maintain observability stacks VictoriaMetrics, VictoriaLogs, Grafana, Alertmanager ... Distributed tracing systems like Zipkin, ElasticSearch APM Bonus Points for Experience with

Senior Database Administrator

Tampa, FL · On-site +1

$111K - $139K/yr

Enhance monitoring, alerting, and observability to facilitate proactive issue resolution* Improve ... database engineering* Deep expertise in SQL Server, MongoDB, Elasticsearch, and Azure SQL DB*

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 are popular job titles related to Elasticsearch Observability Engineer jobs in Florida? For Elasticsearch Observability Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Elasticsearch Observability Engineer jobs in Florida look for? The top searched job categories for Elasticsearch Observability Engineer jobs in Florida are:
What cities in Florida are hiring for Elasticsearch Observability Engineer jobs? Cities in Florida with the most Elasticsearch Observability Engineer job openings:

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

$52.75 - $70.25/hr

Contractor

Re-posted 7 days ago


Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Sudesh Sahu
Location: Austin, TX
Duration: 6 months
skill id: 10805284
Hybrid role
Job Title: Principal DevOps, SRE & Application Infrastructure Architect
Role Descriptions:
Key Responsibilities:
• Infrastructure & GitOpsK8s & Containerization: Design| deploy| and optimize secure Docker/Kubernetes (AKS) environments using Helm and ArgoCD.
• Networking & Edge: Manage cloud Ingress| Load Balancers| and end-to-end certificate management (SSL/mTLS).CI/CD & Automation: Automate tasks with Shell/Python; build GitOps pipelines and manage schema migrations via Flyway.SRE & Observability Reliability: Own end-to-end production availability and performance; define and track SLAs/SLOs/SLIs and error budgets.
• Telemetry: Build observability stacks using OpenTelemetry| Prometheus| Grafana| and Splunk.
• Incident Management: Lead P0/P1 incident response| deep-dive distributed system debugging| RCAs| and on-call rotations.
• Application & Database Operations Polyglot DB Management: Design and operate high-availability cloud database infrastructure (Oracle| Postgres| Cassandra| Couchbase| Redis| CockroachDB).
• Data Replication & DR: Manage Oracle GoldenGate replication| patching| purging| and execute robust P0 Disaster Recovery/failover strategies.
• App Support: Perform deep-dive troubleshooting within Java application layers| gRPC| REST/HTTP/JSON| and caching/messaging systems (SNS/SQS| Elasticsearch| Solr).
Required Technical Skills
• Orchestration & DevOps: Kubernetes (AKS)| Docker| Helm| ArgoCD| Flyway. Scripting & OS: Strong Linux/Unix internals| Shell scripting| and Python. Observability: OpenTelemetry| Prometheus| Grafana| Splunk. Database & Replication: SQL/PL-SQL (procedures| triggers| tuning)| GoldenGate| NoSQL (Cassandra| Couchbase| Redis)| and Transactional DBs (Oracle| Postgres).App Troubleshooting: Java application debugging| gRPC| REST| and cloud-native caching/queues.
Preferred Skills: Exposure to AliCloud or multi-cloud environments.
• Security operations (automated password rotations| IAM privilege management).Strong cross-functional collaboration with security| network| and application teams.
Essential Skills: Devops
Skills: Digital : DevOps~Digital : Site Reliability Engineering (SRE)
Experience Required: 8-10
Note- Looking for Architect level profiles
** All submissions must have LinkedIn id of Candidate**