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Observability Internship Jobs in Edison, NJ (NOW HIRING)

DataDog

Software Engineering Intern (Winter)

Manhattan, NY · On-site

$100K - $110K/yr

We're looking for Software Engineering Interns to help build and scale the systems that power Datadog's observability and security platform. Interns contribute directly to real-world engineering ...

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Observability Internship information

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How much do observability internship jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for observability internship in Edison, NJ is $16.90, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $19.90 per hour, depending on experience, location, and employer.

What is an observability internship?

An Observability Internship is a temporary, often entry-level position where students or recent graduates learn about and assist with monitoring, measuring, and analyzing the performance and reliability of software systems. Interns work with tools that provide visibility into applications, infrastructure, and services to help teams detect issues and improve system health. The role typically involves tasks such as setting up dashboards, analyzing logs and metrics, and helping to implement best practices for observability. This internship is valuable for those interested in DevOps, Site Reliability Engineering, or software development roles.

What types of projects and tools can I expect to work with during an observability internship?

As an Observability Intern, you'll often contribute to projects focused on monitoring, logging, and tracing the performance of software systems. You may work with popular tools such as Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or OpenTelemetry to collect and visualize system metrics. Interns typically collaborate closely with site reliability engineers and software developers to identify bottlenecks, improve alerting, and ensure system reliability. This role provides hands-on experience with real-world infrastructure and fosters valuable problem-solving skills in a collaborative, technical environment.

What are the key skills and qualifications needed to thrive as an observability intern, and why are they important?

To thrive as an Observability Intern, you generally need foundational knowledge in computer science, familiarity with monitoring concepts, and experience with programming or scripting languages. Exposure to observability tools like Prometheus, Grafana, ELK stack, or cloud monitoring platforms, along with coursework or certifications in DevOps or cloud technologies, is often beneficial. Strong analytical thinking, problem-solving abilities, and effective communication help interns collaborate with engineering teams and interpret complex data. These skills enable interns to contribute to system reliability by identifying, diagnosing, and resolving performance issues efficiently.

What is the difference between Observability Internship vs Monitoring Internship?

AspectObservability InternshipMonitoring Internship
FocusBroad system insights, including logs, metrics, tracesReal-time system health and alerting
SkillsData analysis, debugging, understanding of distributed systemsAlert configuration, basic system metrics
Work EnvironmentDevOps, SRE teams, cloud environmentsOperations, system administration teams
CertificationsKnowledge of monitoring tools (Prometheus, Grafana), scriptingBasic monitoring tools, scripting skills

While both internships involve system health, an Observability Internship covers a broader set of tools and concepts like logs, traces, and metrics for comprehensive system understanding. Monitoring internships focus more on real-time alerts and system uptime. Understanding these differences helps candidates choose the right role aligned with their skills and career goals.

What are popular job titles related to Observability Internship jobs in Edison, NJ?

For Observability Internship jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Observability Internship jobs in Edison, NJ look for?

The top searched job categories for Observability Internship jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Observability Internship jobs?

Cities near Edison, NJ with the most Observability Internship job openings:

Observability Internship jobs near you

Data Scientist Senior Associate -- Business Observability & AI Platform

JPMorgan Chase & Co.

Jersey City, NJ • On-site

$110 - $140/hr

Other

Posted 9 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 498 frontline employees who took The Breakroom Quiz

71st of 173 rated banks

Job description

Join a fast-moving technology team building a business observability platform for the Payments business—an analytics foundation that enables AI-assisted decision-making for senior leaders and real-time monitoring and alerting for operations teams. You’ll help deliver intraday transaction insights, anomaly detection, forecasting, and conversational analytics supported by a governed metrics foundation.

As a Data Scientist Senior Associate at JPMorganChase within Business Observability & AI Platform in Payments, you will own the analytical integrity of what we ship. You will validate the data behind key metrics, define what “correct” looks like for models, and ensure anomaly detection and forecasting outputs remain trustworthy in production. You will partner closely with product, engineering, and design to shape both the roadmap and how we communicate value to stakeholders.

Job responsibilities
  • Perform exploratory and diagnostic data analysis across large-scale transactional datasets to validate business logic, metric definitions, and data quality
  • Define and document acceptance criteria for analytical features, metrics, and model behavior; verify releases against them before sign-off
  • Design and run validation and back-testing for anomaly detection and forecasting models, including accuracy, precision/recall, false-positive rates, and threshold calibration
  • Build and operate model and data drift monitoring, and recommend retraining or recalibration when performance degrades
  • Investigate and triage analytical defects, reconciliation breaks, and unexpected model output with upstream data and platform teams
  • Create clear data visualizations and analytical narratives for executive and operational audiences, and contribute to product demos and stakeholder materials
  • Partner with the Technical Product Owner on requirements, user story refinement, and prioritization grounded in evidence from the data
Required qualifications, capabilities and skills
  • Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Economics, Engineering, or similar)
  • 2+ years of applied data analysis or data science experience, or an advanced degree with relevant internship/project work
  • Strong SQL, including analytical functions and performance-aware querying against large tables
  • Proficiency in Python and the standard analytics stack (pandas, NumPy, scikit-learn, statsmodels or equivalent)
  • Working knowledge of time series analysis, forecasting methods, and anomaly detection techniques
  • Practical experience with data quality testing, validation frameworks, and reconciliation
  • Ability to build clear, decision-ready visualizations and communicate findings to non-technical stakeholders
  • Comfortable working in an agile, high-ownership environment with shifting priorities
Preferred qualifications, capabilities and skills
  • Experience with payments, transaction banking, or financial services data
  • Familiarity with semantic layers, metrics stores, or dimensional modeling
  • Exposure to columnar or OLAP databases (ClickHouse, Druid, BigQuery, Snowflake)
  • Experience defining model evaluation and drift monitoring in production
  • Familiarity with LLM-assisted analytics, evaluation of generated explanations, or prompt-based workflows
  • Visualization tooling beyond notebooks (D3, Plotly, Tableau, or similar)

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