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Internship Observability Engineer Jobs in Georgia

Contribute to CI/CD pipelines, observability instrumentation (OpenTelemetry, structlog), and MLOps ... internships and professional experience considered). * Demonstrated experience building and ...

Contribute to CI/CD pipelines, observability instrumentation (OpenTelemetry, structlog), and MLOps ... internships and professional experience considered). * Demonstrated experience building and ...

Contribute to CI/CD pipelines, observability instrumentation (OpenTelemetry, structlog), and MLOps ... internships and professional experience considered). * Demonstrated experience building and ...

AIFirst Junior Engineer

Atlanta, GA · On-site

$68.91K - $161.54K/yr

Ensure traceability and observability requirements are met Collaboration & Skill Development * Work ... internships or coop experience) * Knowledge of at least one modern programming language

... CI/CD, observability, and deployment best practices * Experience in at least one of the following: * Academic or personal AI/ML projects * Internship or co-op in software or data engineering

... CI/CD, observability, and deployment best practices * Experience in at least one of the following: * Academic or personal AI/ML projects * Internship or co-op in software or data engineering

... CI/CD, observability, and deployment best practices * Experience in at least one of the following: * Academic or personal AI/ML projects * Internship or co-op in software or data engineering

Internship Observability Engineer information

What are the key skills and qualifications needed to thrive as an Internship Observability Engineer, and why are they important?

To thrive as an Internship Observability Engineer, you need a solid understanding of computer science fundamentals, basic scripting or programming skills, and familiarity with system architectures, typically supported by coursework or a relevant degree in progress. Exposure to observability tools such as Prometheus, Grafana, ELK Stack, or Datadog, and knowledge of cloud platforms are often required. Analytical thinking, attention to detail, and effective communication help interns investigate issues and collaborate with engineering teams. These skills ensure accurate system monitoring, faster incident response, and a strong foundation for future growth in infrastructure engineering.

What types of projects and technologies do Internship Observability Engineers typically work on during their internship?

As an Internship Observability Engineer, you can expect to work on projects involving the implementation and enhancement of monitoring, logging, and tracing systems across various applications and infrastructure. Interns often assist with configuring tools like Prometheus, Grafana, or Datadog, helping to ensure system reliability and visibility. You may also analyze system metrics, collaborate with software engineers to troubleshoot issues, and contribute to dashboards that provide real-time insights. This hands-on experience provides a strong foundation in both development and operations, preparing you for future roles in site reliability engineering or cloud infrastructure.

What does an Internship Observability Engineer do?

An Internship Observability Engineer assists in monitoring, analyzing, and improving the visibility of software systems. They work with tools that collect logs, metrics, and traces to help teams understand system performance and identify issues. Interns in this role may set up dashboards, configure alerts, and collaborate with development and operations teams to ensure systems are running smoothly. The position is ideal for those interested in DevOps, site reliability engineering, and learning about scalable infrastructure.

What is the difference between Internship Observability Engineer vs Internship Site Reliability Engineer?

AspectInternship Observability EngineerInternship Site Reliability Engineer
FocusMonitoring, logging, and tracing systems to improve software observabilityEnsuring system reliability, scalability, and performance of services
SkillsMonitoring tools, scripting, data analysisSystem architecture, automation, incident response
Work EnvironmentDevOps teams, cloud platforms, monitoring toolsOperations teams, cloud infrastructure, automation tools
CertificationsBasic knowledge of cloud and monitoring toolsBasic understanding of SRE principles and cloud platforms

Both roles are entry-level internships in the tech industry, focusing on different aspects of system management. The Internship Observability Engineer emphasizes monitoring and diagnostics, while the Internship Site Reliability Engineer concentrates on maintaining system reliability and performance. They often collaborate but have distinct skill sets and responsibilities.

What are the most commonly searched types of Observability Engineer jobs in Georgia? The most popular types of Observability Engineer jobs in Georgia are:

AI Fullstack Software Engineer-Intern

Teradata

Atlanta, GA • On-site

Other

Medical, Life, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Our Internship Program

Our Internship Program Our summer internship program lasts 10-12 weeks beginning in May/June and ending in August/September. We offer a fast-paced, flexible, fun environment where you will have the opportunity to work on meaningful projects and face new challenges every day.

Our company

Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

What You'll Do

At Teradata, we're not just managing data; we're unleashing its full potential. Our Teradata AI Studio platform and pioneering Enterprise Vector Store are empowering the world's largest enterprises to derive unprecedented value from their most complex data. We're rapidly pushing the boundaries of what's possible with Artificial Intelligence, especially in the exciting realm of autonomous and agentic systems.

We’re building intelligent systems that go far beyond automation — they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team, you’ll play a critical role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes.

You’ll work alongside a high-caliber team of AI researchers, engineers, and data scientists tackling some of the hardest problems in AI and enterprise software — from scalable multi-agent coordination and fine-tuned LLM applications, to real-time monitoring, drift detection, and closed-loop retraining systems.

If you're passionate about building intelligent systems that are not only powerful but observable, resilient, and production-ready, this role offers the opportunity to shape the future of enterprise AI from the ground up.

Who You'll Work With

Imagine collaborating daily with some of the brightest minds in the company – individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Cloud platform. Your insights will directly shape the future of our intelligent data solutions.

You'll report directly to the inspiring Sr. Manager, Software Engineering, who will champion your growth and empower your contributions.

What Makes You a Qualified Candidate

  • Experience working with modern data platforms like Teradata, Snowflake, and Databricks

  • Passion for staying current with AI research, especially in the areas of reasoning, planning, and autonomous systems.

  • You are an excellent full stack engineer who codes daily and owns systems end-to-end.

  • Build intuitive UI with user-friendly natural language interfaces (e.g., chatbots, AI assistants) to allow users to interact with the data platform using natural language queries.

  • Strong engineering background (Python/Java/Golang, API integration, backend frameworks)

  • Strong system design skills and understanding of distributed systems.

  • You’re obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed.

  • Hands-on experience with Machine learning & deep learning frameworks: TensorFlow, PyTorch, Scikit-learn

  • Hands-on experience with LLMs, agent frameworks (LangChain, AutoGPT, ReAct, etc.), and orchestration tools.

  • Experience with AI observability tools and practices (e.g., logging, monitoring, tracing, metrics for AI agents or ML models).

  • Solid understanding of model performance monitoring, drift detection, and responsible AI principles.

What You Bring

  • A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field – your academic foundation is key.

  • A genuine excitement for AI and large language models (LLMs) is a significant advantage – you'll be working at the cutting edge!

  • UI/UX Development: Proficiency in JavaScript frameworks (React.js, Vue.js, Angular) and CSS libraries (Bootstrap, Material-UI).

  • Design, develop, and deploy agentic systems integrated into the data platform.

  • 3+ years of experience in software architecture, backend systems, or AI infrastructure.

  • Strong knowledge of LLMs, RL, or cognitive architectures is highly desirable.

  • Passion for building safe, human-aligned autonomous systems.

  • Experience in software development (Python, Go, or Java preferred).

  • Familiarity with backend service development, APIs, and distributed systems.

  • Interest or experience in LLMs, autonomous agents, or AI tooling.

  • Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines.

  • Experience with AI observability tools and practices (e.g., logging, monitoring, tracing, metrics for AI agents or ML models).

  • Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes.

  • Integrate observability tooling (e.g., OpenTelemetry, Prometheus, Grafana) with LLM-based workflows and agent pipelines.

  • Bonus: Research experience or contributions to open-source agentic frameworks.

  • You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions.

Pay Rate: $29.00 - $44.00 - $50.00 Hourly

Why We Think You'll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.

#LI-SK1

Teradata is proud to be an equal opportunity employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. We welcome and encourage individuals from all backgrounds to apply and join our team, bringing their unique perspectives and experiences to help us innovate and grow. If you require accommodations during the interview process, please let your recruiter know and we will work with you to meet your needs.

Pay Rate: 0.0000 - 0.0000 - 0.0000 Hourly

Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Sales roles will be eligible for commission payments tied to quota achievement. All other permanent roles will be eligible for one of our annual incentive plans, which are based on company financial attainment and individual performance.

Employees in this position are also eligible to participate in the Company’s comprehensive benefits programs, which include healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time-off programs. Specific details of these benefits, including eligibility criteria and plan options, will be provided during the hiring process and can be reviewed here: https://www.teradata.com/About-Us/Careers/Benefits