Jobs

Senior Observability Engineer

|  Posted On: May 28, 2026

location:Holmdel, NJ 07733

Duration:6 Months, Contract

mode of work:On-site

Job Summary

Job Title:  
Senior Observability Engineer
Posted Date:  
May 28, 2026
Duration:  
6 Months, Contract
Shift(s):  

08:00 - 16:00

Salary ($): 
75.00 - 77.00 per Hourly (compensation based on experience and qualifications)

Description

Job Title: Senior Observability Engineer (AppD Focused)

Location: Holmdel, NJ or Bethlehem, PA. 2 days in Holmdel (Wed & Thurs required) or 3 days in Bethlehem.

We will only consider local candidates. No remote or relocation candidates.

Work Authorization:

The role has a preference for candidates who are eligible to convert to full-time without requiring sponsorship (e.g., U.S. Citizens or Green Card Holders). However, we are open to considering  for a pure contract engagement (6 months with the possibility to extend)

About the Role:

  • We are seeking a dedicated and detail-oriented Senior Observability Engineer to join our Enterprise Observability Engineering team. The ideal candidate will bring deep expertise in AppDynamics, Splunk, OpenTelemetry, and AWS-native services, along with strong DevOps experience.
  • This role is responsible for the administration, configuration, implementation, and ongoing optimization of observability platforms that enable end-to-end visibility across applications, infrastructure, and cloud-native workloads. You will play a critical role in ensuring platform reliability, performance, and actionable insights to support engineering and business teams.

Key Responsibilities:

 Observability Platform Administration & Implementation

  • Administer, configure, and support AppDynamics, Splunk, and OpenTelemetry (OTel) platforms to meet enterprise monitoring and observability needs.
  • Design and implement observability solutions aligned to MELT (Metrics, Events, Logs, Traces) best practices.
  • Perform regular upgrades, patching, and security hardening of observability platforms.

Monitoring, Reliability & Maintenance

  • Continuously monitor the health, availability, and performance of observability platforms.
  • Ensure data integrity, retention, and availability across metrics, logs, and traces.
  • Proactively identify and remediate platform performance, scalability, and reliability issues.

Cloud & Full-Stack Observability

  • Implement and support observability for AWS services, including:
  • EKS, ECS, Lambda Functions
  • SNS/SQS, S3, CloudWatch

Deliver full-stack observability, including:

  • Kubernetes cluster and workload metrics
  • Service discovery, events, and application performance data
  • Leverage OpenTelemetry for instrumentation, context propagation, collectors, and sampling strategies.

Dashboard, Alerting & Reporting

  • Create and maintain dashboards, reports, and alerts in AppDynamics and Splunk.
  • Collaborate with application, platform, and DevOps teams to define meaningful monitoring and alerting standards.
  • Reduce noise through alert tuning and promote actionable signal over raw data.

DevOps & Automation

  • Integrate observability into CI/CD pipelines using GitHub, Jenkins, ArgoCD, and automation frameworks.
  • Develop scripts and automation using Python, JavaScript, or Bash to streamline onboarding, configuration, and maintenance activities.

Education:

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.

Experience:

  • 5–7+ years of experience in Observability, Monitoring, SRE, or Platform Engineering roles.
  • Proven hands-on experience implementing, managing, and maintaining AppDynamics, Splunk, and Open Telemetry in enterprise environments.

 

Technical Skills:

 Observability Platforms:

  • AppDynamics (APM, dashboards, alerts)
  • Splunk (configuration, administration, data onboarding)
  • OpenTelemetry (instrumentation, collectors, sampling)

 AWS Cloud Services:

  • EKS, ECS, Lambda
  • SNS/SQS, S3, CloudWatch

DevOps & CI/CD:

  • GitHub, Jenkins, ArgoCD
  • CI/CD pipelines and GitOps practices

Observability Concepts:

  • Strong expertise in Metrics, Events, Logs, and Traces (MELT)
  • Full-stack and cloud-native observability

Automation & Scripting:

  • Python, JavaScript, Bash

 

AI-Assisted Application Screening

As part of our recruitment process, we may use automated tools or AI-enabled technologies to assist with resume screening and candidate matching. These tools help our recruitment team review applications more efficiently, but they do not make hiring decisions. All final decisions are made by human reviewers.