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Part Time Observability Engineer Jobs in Philadelphia, PA

Full-Stack Engineer

Philadelphia, PA · On-site

$110K - $160K/yr

All full time and part time employees have access to participate in the Delphinus Engineering ... Implement and manage robust monitoring and observability solutions using Prometheus and Grafana to ...

Part Time Observability Engineer information

What is the difference between Part Time Observability Engineer vs Part Time Site Reliability Engineer?

AspectPart Time Observability EngineerPart Time Site Reliability Engineer
Primary FocusMonitoring, logging, and observability toolsSystem reliability, automation, and incident response
Required SkillsMonitoring tools, scripting, troubleshootingSystem architecture, automation, incident management
Work EnvironmentDevOps teams, cloud platformsOperations, engineering teams, cloud infrastructure
CertificationsMonitoring and cloud certificationsLinux, cloud, and SRE certifications

While both roles involve cloud and infrastructure skills, a Part Time Observability Engineer primarily focuses on monitoring and observability tools, whereas a Part Time Site Reliability Engineer emphasizes system reliability and automation. The roles often overlap but differ in core responsibilities and skill sets.

What are the key skills and qualifications needed to thrive as a Part Time Observability Engineer, and why are they important?

To thrive as a Part Time Observability Engineer, you need expertise in monitoring, logging, and incident response, often supported by a background in computer science or related experience. Familiarity with tools such as Prometheus, Grafana, ELK Stack, Datadog, or Splunk, and knowledge of cloud platforms like AWS or Azure are typically required. Strong analytical thinking, problem-solving abilities, and clear communication are essential soft skills for effective collaboration and rapid issue resolution. These competencies ensure system reliability, quick troubleshooting, and efficient support for engineering teams in maintaining robust infrastructure.

What are some common challenges faced by part-time observability engineers, and how can they effectively manage their workload?

Part-time observability engineers often juggle multiple responsibilities within limited hours, making prioritization and effective time management crucial. One common challenge is staying up-to-date with rapidly evolving monitoring tools and responding promptly to incidents despite restricted availability. Building clear communication channels with the full-time team, leveraging automation for routine monitoring tasks, and maintaining thorough documentation can help ensure smooth handovers and sustained observability coverage. Additionally, focusing on high-impact improvements and collaborating closely with other engineers can maximize the value delivered in a part-time capacity.

What engineer makes $500,000 a year?

A senior observability engineer or site reliability engineer with extensive experience, specialized skills in monitoring tools, and certifications can potentially earn $500,000 annually, especially in high-cost living areas or large tech companies. Such roles often require expertise in cloud platforms, automation, and performance optimization, along with leadership responsibilities.

Is observability a good career?

Observability engineering is a growing field focused on monitoring, logging, and analyzing system performance using tools like Prometheus, Grafana, and Elasticsearch. It offers opportunities in cloud environments and DevOps teams, with demand for skills in scripting, automation, and troubleshooting. Overall, it can be a stable and rewarding career for those interested in system reliability and performance analysis.

What does a Part Time Observability Engineer do?

A Part Time Observability Engineer is responsible for monitoring, analyzing, and improving the visibility of software systems, typically on a reduced or flexible schedule. They set up tools and processes to collect metrics, logs, and traces, making it easier for teams to identify and resolve issues quickly. Their work helps ensure systems are reliable, performant, and easy to troubleshoot. Part-time roles may focus on specific projects, on-call rotations, or supporting ongoing observability initiatives depending on the organization's needs.

What engineers make 200,000 a year?

Senior observability engineers or site reliability engineers with extensive experience, advanced skills in monitoring tools, and certifications can earn $200,000 or more annually. These roles often require expertise in cloud environments, scripting, and system architecture, and may involve working in high-demand industries or large-scale organizations.

What engineers make $300,000 a year?

Senior observability engineers, especially those with expertise in cloud infrastructure, monitoring tools, and automation, can reach or exceed a $300,000 annual salary in large tech companies or specialized industries. High compensation often requires extensive experience, advanced skills in tools like Prometheus, Grafana, or Datadog, and sometimes certifications or leadership responsibilities.
What are the most commonly searched types of Observability Engineer jobs in Philadelphia, PA? The most popular types of Observability Engineer jobs in Philadelphia, PA are:
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Infographic showing various Part Time Observability Engineer job openings in Philadelphia, PA as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

$110K - $160K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 22 days ago


Job description

SALARY RANGE: $110,000 - $160,000 per year

In determining compensation, various factors will be considered, including but not limited to, educational background; relevant experience, knowledge, skills, and abilities, market factors; and geographic location.

BENEFITS: All eligible full time employees will receive Paid Annual Leave (PAL) starting at 23 days per year and raising by one day per year following one full calendar year of employment (January through December). They will also be offered health benefits and will be automatically enrolled in employer paid short and long term disability and life insurance.

All full time and part time employees have access to participate in the Delphinus Engineering 401(k) which includes company match of 25% up to 10% deferred.

GENERAL SUMMARY: The Full-Stack Engineer position is instrumental in designing, developing, and maintaining sophisticated Condition Assessment Systems that are crucial for naval operations. The Full-Stack Engineer will leverage a modern tech stack centered on GoLang, Kubernetes, and event-driven microservices to build resilient, scalable platforms that directly impact naval readiness and maintenance strategies.

LOCATION: Philadelphia, PA

PRINCIPAL DUTIES/RESPONSIBILITIES:

  • Design, build, and enhance event-driven microservices and software utilities using GoLang, with exposure to Javascript and Kotlin.
  • Develop critical software upgrades and enhancements for advanced Condition Assessment and Remote Monitoring systems.
  • Own the CI/CD pipeline using GitLab CI, Ansible, and Terraform to automate builds, testing, and deployments in a Kubernetes environment.
  • Provide RDBMS support for PostgreSQL and time-series databases (e.g., InfluxDB, TimescaleDB), including schema design, optimization, and administration.
  • Implement and manage robust monitoring and observability solutions using Prometheus and Grafana to ensure system health and performance.
  • Provide engineering services to gather, validate, and analyze shipboard data, troubleshooting issues and supporting the development of equipment logistic models.
  • Conduct hardware setup, maintenance, and rigorous software development testing in accordance with IEEE standards.

EDUCATION AND EXPERIENCE REQUIREMENTS:

  • Bachelor’s level degree in Computer, Electrical or Electronics Engineering, or Mathematics with field of concentration in computer science or equivalent. from an accredited college or university.
  • At least 5 years of experience in computer design, software development or computer networks including Linux, Kubernetes, RabbitMQ, Vue, GIT.
  • At least 5 years of experience in Database Development, Web Development or application development using real-time data acquisition and analysis, batch data processing, data storage and retrieval, and user interface applications.
  • Experience in the design, development, and implementation of machinery lifecycle management software systems preferred.
  • Familiarity with and have developed applications using the DoDAF standards preferred.

SPECIAL REQUIREMENTS:

  • Successful applicants must either have an active government security clearance or the ability to receive approval upon position acceptance.
  • Must have a valid US passport or the ability to obtain one upon position acceptance.
  • Ability to obtain OS certification or complete approved related training within 180 days of hire.
  • A+ CE, CCNA-Security, CND, Network+ CE, or SSCP certification preferred.
  • U.S. Citizenship is required.

SKILLS AND ABILITIES:

Essential Skills:

  • Proven experience developing robust backend services using GoLang (10+ years preferred).
  • Expertise in designing and building event-driven microservices architectures (10+ years preferred).
  • Deep understanding and hands-on experience with container orchestration using Kubernetes (7+ years preferred).
  • Experience with message brokers such as RabbitMQ, Kafka, or NATS (7+ years preferred).
  • Proficiency with API design and implementation using gRPC and GraphQL (7+ years preferred).
  • Strong DevOps mindset with hands-on experience in GitLab CI, Ansible, and Terraform (5+ years preferred).
  • Solid experience with observability tools like Prometheus and Grafana (7+ years preferred).
  • Expert-level proficiency with Git for version control.
  • Strong command of Linux environments.
  • Advanced SQL skills and experience with relational databases (e.g., PostgreSQL, MS SQL, etc.) (10+ years preferred).
  • Experience with time-series databases (e.g, TimescaleDB, InfluxDB, etc.) (7+ years preferred).

Additional Preferred Skills:

  • Experience in industrial analytics, machinery diagnostics, or condition-based maintenance (CBM) systems.
  • Prior experience delivering Data-as-a-Service (DaaS) or Platform-as-a-Service (PaaS) solutions.
  • Familiarity with U.S. Government or Department of Defense development environments.