RedLeo Software

Java Backend Engineer With Reliability Engineering / Splunk

RedLeo SoftwareContract
Remote
12 - 18 YearsFeb 19th, 2026
52 ViewsBe an Early Applicant
Required Skillset:
GitDockerKubernetesSpring BootSplunkGradleMavenJava (8+)microservicesCI/CD pipelinescloud-native applicationsREST APISPL queriesDashboards (Classic or Dashboard Studio)Alerts and reportsField extractions & log parsinglogging frameworks (Log4j2, SLF4J, Logback)JSON loggingstructured logscorrelation identifiersobservability tools (ELK, OpenTelemetry, Grafana, Prometheus)SRE concepts (SLIs, SLOs, SLAs, error budgets)message brokers (Kafka, RabbitMQ)

Job Description

Hi,

This is Amit Kumar from Redleo Software Inc.. Please review the job description below and contact me at xxxxxxxxxxxxxxx if interested.


Position: Java Backend Engineer with Reliability Engineering / Splunk
Employment: Full Time/FTE
Location: Remote/EST or CST
Interview Format: Video

Java Backend Engineer with Reliability Engineering / Splunk

We are looking for a highly skilled Java Backend Engineer with Reliability Engineering experience to help design, build, and maintain reliable, scalable, and observable backend services. The ideal candidate will have strong hands‑on expertise in Java/Spring Boot, microservices, API development, and a deep understanding of Splunk for observability, monitoring, alerting, and troubleshooting.

This role focuses on improving application reliability, performance, and logging quality across distributed systems while collaborating with DevOps, SRE, and platform teams.

 

Key Responsibilities

Backend Engineering

  • Design, develop, and maintain backend services using Java (8+)Spring Boot, and microservices architecture.
  • Build scalable RESTful APIs and backend components with strong emphasis on performance and security.
  • Improve service reliability through better error handling, resiliency patterns, and design best practices.
  • Contribute to architecture discussions, technical design, and code reviews.

Reliability Engineering & Observability

  • Implement and maintain application observability using Splunk (dashboards, alerts, log analysis, correlation searches).
  • Optimize log ingestion pipelines and ensure consistent logging standards (structured logs, correlation IDs, trace IDs).
  • Monitor application health, performance metrics, latency, errors, and resource utilization.
  • Troubleshoot production issues by analyzing logs, SPL queries, and monitoring data.
  • Identify and resolve reliability bottlenecks and proactively improve system stability.

Systems Performance & Monitoring

  • Develop actionable Splunk dashboards for service KPIs, throughput, latency, and error rates.
  • Set up real-time alerts to detect anomalies, failures, or degradation in service behavior.
  • Tune SPL queries to improve performance and reduce compute cost.
  • Work with DevOps/SRE teams to strengthen monitoring, alerting, and incident response.

 

Required Skills & Qualifications

  • Strong experience with Java (8 or above)Spring Boot, and REST API development.
  • Solid understanding of microservices, multi-threading, and design patterns.
  • Hands-on expertise with Splunk:
    • SPL queries
    • Dashboards (Classic or Dashboard Studio)
    • Alerts and reports
    • Field extractions & log parsing
  • Deep knowledge of logging frameworks (Log4j2, SLF4J, Logback).
  • Experience with JSON logging, structured logs, and correlation identifiers.
  • Familiarity with CI/CD pipelines, Git, Maven/Gradle.
  • Strong debugging and production troubleshooting skills using logs and monitoring tools.
  • experience with Kubernetes, Docker, or cloud-native applications.
  • Knowledge of observability tools like ELK, OpenTelemetry, Grafana, Prometheus.
  • Understanding of SRE concepts: SLIs, SLOs, SLAs, error budgets.
  • Familiarity with message brokers (Kafka, RabbitMQ).

Experience with Splunk configuration-as-code or automation 

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