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Observability Internship Jobs (NOW HIRING)

Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD. * Prior internship, capstone, or project work ...

Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD. * Prior internship, capstone, or project work ...

Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD. * Prior internship, capstone, or project work ...

Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD. * Prior internship, capstone, or project work ...

Infrastructure Engineer - Early Career

Torrance, CA · On-site

$111K - $146K/yr

... observability, networking -- and identify one or more areas to go deeper in over time. • Execute ... prior internships, or homelab work. We're looking for genuine curiosity and a track record of ...

... Interns to help develop our reliability platform, with a focus on: * Data-efficient alignment of evaluation models * Dynamic testing of AI applications * Observability and anomaly detection

Infrastructure Engineer - Early Career

Torrance, CA · On-site

$111K - $146K/yr

... observability, networking -- and identify one or more areas to go deeper in over time. • Execute ... prior internships, or homelab work. We're looking for genuine curiosity and a track record of ...

Software Engineer Intern

New York, NY · On-site

$100K - $125K/yr

... Interns to help develop our reliability platform, with a focus on: * Data-efficient alignment of evaluation models * Dynamic testing of AI applications * Observability and anomaly detection

... observability platform with LLM integration, and building high-quality tools that engineers love using. We are looking for Summer '26, Fall '26, Spring '27, and Summer '27 interns. You may be a good ...

... observability platform with LLM integration, and building high-quality tools that engineers love using. We are looking for Summer '26, Fall '26, Spring '27, and Summer '27 interns. You may be a good ...

The ideal candidate will support automation, observability, and troubleshooting in Azure Kubernetes ... internships or coursework will be considered * Security Clearance: Active TS/SCI clearance ...

The ideal candidate will support automation, observability, and troubleshooting in Azure Kubernetes ... internships or coursework will be considered * Security Clearance: Active TS/SCI clearance ...

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Observability Internship information

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How much do observability internship jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for observability internship in the United States is $16.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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 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 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 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.
More about Observability Internship jobs
What cities are hiring for Observability Internship jobs? Cities with the most Observability Internship job openings:
What are the most commonly searched types of Observability jobs? The most popular types of Observability jobs are:
What states have the most Observability Internship jobs? States with the most job openings for Observability Internship jobs include:
Infographic showing various Observability Internship job openings in the United States as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $33,957 per year, or $16.3 per hour.
Associate AI Developer

Associate AI Developer

iSoftStone

White Plains, NY • On-site

$20/hr

Contractor

Posted 26 days ago


Job description

Description
iSoftStone, Inc. is seeking an Associate AI Developer to join our Team
In New York, NY, Seattle, WA or Dallas, TX (Hybrid opportunity)
**Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.**
Summary:
iSoftStone, Inc. is seeking an Associate AI Developer to help build and ship production-grade AI services. This training-based, early-career role is ideal for recent graduates eager to grow into hands-on AI engineers, working alongside senior developers on real client projects spanning agentic applications, orchestration, observability, and computer vision-across a cloud-agnostic stack.
Responsibilities:
  • Build AI services: Develop and help deploy services and microservices that integrate LLMs and classical ML (real-time APIs, batch, and event-driven workloads).
  • Agentic & orchestration: Contribute to agent workflows and tool-use orchestration using frameworks such as LangChain, with structured I/O via Pydantic.
  • Vision & deep learning: Help develop and integrate CNNs and vision models (classification, detection, OCR) into production pipelines.
  • Observability: Instrument services with logging, tracing, and evaluation hooks; help monitor quality, latency, cost, and drift.
  • Cloud-agnostic delivery: Build AI integrations on AWS, Azure, or NVIDIA tooling-and with open-source models-favoring portable, well-tested code.
  • Quality & collaboration: Write tests from specs, join code reviews and design discussions, and respond constructively to feedback.

Qualifications:
  • Education: Recently graduated from, a degree/certificate program in Computer Science, AI/ML, Data Science, Engineering, or a related field.
  • Experience: Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal projects) developing software or AI applications.
  • AI cloud services: Hands-on exposure building AI services and integrations with one or more of: AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton), or open-source (LangChain, Pydantic, Python).
  • Programming: Solid Python foundation plus software engineering fundamentals (version control, testing, APIs, clean code).
  • Mindset: Cloud-agnostic and portability-minded; strong problem-solver; open to learning and feedback in a fast-paced environment.

Preferred Skills
  • Familiarity with agentic patterns, tool-use orchestration, or the Model Context Protocol (MCP); RAG and vector search (Pinecone, Weaviate, FAISS).
  • Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD.
  • Prior internship, capstone, or project work involving AI, data, or cloud services
  • Education
    • BS/MS/certificate program in Computer Science, Engineering, AI/ML, Data Science or related field; equivalent experience considered.

Primary Location Pay Range: $20 per hour
iSoftStone is a global IT service and consulting company that creates value and drives success through technology solutions, service excellence, and digital innovation. We specialize in web and application development, software testing and support, data and content management, digital experience, accessibility, and data for machine learning and AI. With 20 delivery centers and more than 90,000 employees worldwide, iSoftStone is proud to serve some of the world's most well-known businesses, including 90+ Fortune Global 500 companies.
Visit us at https://www.isoftstoneinc.com.
iSoftStone is committed to the practice of equal opportunity for all its employees and applicants in employment, and does not discriminate on the basis of race or ethnicity, color, age, national origin, religion, creed, marital status, sex, pregnancy, gender, gender identity, sexual orientation, status as an honorably discharged veteran or disabled veteran or military status, political affiliation or belief, citizenship/status as a lawfully admitted immigrant authorized to work in the United States, or presence of any physical, sensory, or mental disability. In addition, reasonable accommodation will be made for known physical or mental limitations for all otherwise qualified persons with disabilities.