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Aws Security Engineer Intern Jobs in Riverside, CA

Esri

Sr. Application Security Engineer

Redlands, CA · On-site

$59 - $79/hr

Esri is a leader in GIS technology, and they are seeking a Sr. Application Security Engineer to ... AWS and Azure • Willingness to learn new skills and enhance workflows using various AI tools • ...

Esri

Sr. Application Security Engineer

Redlands, CA · On-site

$59 - $79/hr

Esri is a leader in GIS technology, and they are seeking a Sr. Application Security Engineer to ... AWS and Azure • Willingness to learn new skills and enhance workflows using various AI tools • ...

Esri

IAM Security Engineer

Redlands, CA

Overview You're invited to join our Enterprise Information Security team, focusing on corporate ... Experience with AWS, Linux * Experience with authentication libraries, MSAL, Passport * Experience ...

Esri

Sr. Application Security Engineer

Redlands, CA · On-site

$93K - $157K/yr

As an Application Security Engineer at Esri, you will fill a critical role in helping secure Esri ... Experience working with cloud platforms, specifically AWS and Azure * Willingness to learn new ...

EnerSys

Application Security Engineer (REMOTE)

Chino, CA · Remote

$117K - $146K/yr

Job Purpose The Application Security Engineer is responsible for strengthening the security of our ... Practical experience securing cloud environments (AWS or Azure) and implementing cloud-native ...

Esri

IAM Security Engineer

Redlands, CA · On-site

$73K - $128K/yr

Overview You're invited to join our Enterprise Information Security team, focusing on corporate ... Experience with AWS, Linux * Experience with authentication libraries, MSAL, Passport * Experience ...

Econolite

Platform Engineer (Security)

Anaheim, CA · On-site

$135K - $155K/yr

Hands-on experience securing production cloud infrastructure (AWS, Azure, or GCP) * High-level programming experience such as C# * Experience with security policies and practices, such as SOC 2, ISO ...

Armaninollp

Cybersecurity Engineer

Irvine, CA · On-site

Partner with Infrastructure, Networking, and DevOps teams to design secure solutions ... Secure Azure and AWS environments using native and thirdparty security controls * Implement ...

Brilliant Infotech, Inc.

AWS DevOps Engineer

Irvine, CA · On-site

$56.75 - $77.50/hr

... Engineer Job Location: Irvine, CA - Hybrid Duration: 12+ Months W2 Candidates Only Must Haves: AWS ... security practices for Kafka and cloud resources to safeguard data and services. Create and ...

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All JobsAws Security Engineer Intern JobsAws Security Engineer Intern Jobs in Riverside, CA

Aws Security Engineer Intern information

See Riverside, CA salary details

$11

$21

$27

How much do aws security engineer intern jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for aws security engineer intern in Riverside, CA is $21.22, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $23.32 per hour, depending on experience, location, and employer.

What does an AWS Security Engineer Intern do?

An AWS Security Engineer Intern assists in securing cloud infrastructure and services on Amazon Web Services (AWS). Their responsibilities often include monitoring for security threats, helping to implement security best practices, supporting compliance initiatives, and participating in vulnerability assessments. Interns may also help automate security processes using AWS tools, collaborate with other teams, and learn about cloud security frameworks. This role provides hands-on experience with cloud security technologies while working under the supervision of experienced security engineers.

What types of projects and responsibilities can an AWS Security Engineer Intern expect during their internship?

As an AWS Security Engineer Intern, you can expect to work on projects that involve identifying and mitigating security vulnerabilities, assisting with the implementation of security controls in cloud environments, and supporting incident response activities. Interns often collaborate closely with experienced engineers to review and improve IAM policies, monitor security alerts, and participate in security audits. This hands-on experience provides insight into industry best practices and allows you to contribute to real-world cloud security solutions, all while building valuable technical and teamwork skills.

What are the key skills and qualifications needed to thrive as an AWS Security Engineer Intern, and why are they important?

To thrive as an AWS Security Engineer Intern, you need foundational knowledge of cloud computing, cybersecurity principles, and basic networking, often supported by coursework in computer science or information security. Familiarity with AWS services (like IAM, S3, EC2), experience using security monitoring tools, and certifications such as AWS Certified Cloud Practitioner or AWS Security Specialty are highly beneficial. Strong analytical thinking, attention to detail, and effective communication are critical soft skills in this role. These skills and qualifications are essential to support secure cloud environments, detect vulnerabilities, and collaborate efficiently within security teams.
What cities near Riverside, CA are hiring for Aws Security Engineer Intern jobs? Cities near Riverside, CA with the most Aws Security Engineer Intern job openings:
Aws Security Engineer Intern jobs near you

Agentic AI/ML Engineer Intern, Solutions

FieldAI

Irvine, CA • On-site

$35 - $50/hr

Other

Posted 8 days ago

Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

As an Agentic AI/ML Engineer Intern, you will build agentic solutions that turn FieldAI's data and tooling into actionable support and insights. Your work has a dual focus: creating internal agents that accelerate our engineering and operations workflows, and building external agentic experiences to help customers gain insights from their deployments. The critical foundation for both is the AI Ops platform you will help build-developing the core infrastructure for orchestration, tool integration, memory, and observability. This is a hands-on role where you will prototype, evaluate, and ship agent-native solutions that directly multiply the impact of our teams and technology.

This role is crucial to how we scale. As our fleet, customer base, and team grow quickly, the agentic solutions and AI Ops infrastructure you build are what let us support more customers, surface more insights, and run our own operations without scaling headcount linearly. Your work directly multiplies what every engineer, field team, and customer can do - making it a high-leverage part of the company's next phase of growth. This is a paid internship with a strong opportunity to convert to a full-time role based on performance and business needs.

What You'll Do

  • Design and implement agentic workflows with tool use, memory, and orchestration to automate repetitive tasks and answer questions over internal and customer-facing data.

  • Contribute to AI Ops (agent infrastructure) - orchestration, evals, and observability - and apply it to enable agent-native DevOps that automates our engineering and internal operations workflows.

  • Build and optimize RAG pipelines with vector DBs and knowledge graphs to ground agents in the right context.

  • Set up evaluation pipelines to measure agent quality, reliability, and performance.

What You Bring

  • Educational Track: Currently pursuing a BS, MS, or Ph.D. in Computer Science, AI/ML, Robotics, or a related technical field, with deep project-based experience.

  • Strong evidence of building agentic projects (hackathons, research, internships, or personal projects).

  • Agentic & ML Foundation: Solid theoretical understanding and practical application of Agentic Engineering principles (Tool Use, Memory, RAG, Planning).

  • Production-Grade Python: Proven ability to write reliable, testable, clean, and performant Python code, with familiarity with software engineering best practices, including version control, containerization (Docker), and test-driven development (pytest).

  • Advanced Agent Orchestration: Hands-on engineering experience with modern, open-source agentic frameworks (e.g., LangChain, LangGraph, LlamaIndex) rather than relying strictly on service-managed agent APIs.

  • AI Ops & Observability: Experience implementing evaluation, tracing, and monitoring pipelines (e.g., MLflow, Langfuse, TruLens) to quantitatively measure agent quality, factual accuracy, latency, and reliability.

  • Information Retrieval & Grounding: Practical expertise building and optimizing context-aware systems, with hands-on experience using Vector Databases (e.g., Pinecone, FAISS, OpenSearch) and designing Knowledge Graphs to reliably ground agents and mitigate hallucinations.

  • Cloud / Robot Compute: Familiarity with Cloud Platforms (e.g., AWS, GCP) for ML/AI deployment, and/or experience with on-robot compute environments.

  • Bias for action and ownership: Ability to take a loosely defined, complex problem and define and drive a working solution end-to-end.

  • Strong ability to drive solutions end-to-end, including cross-team coordination and seeking out customer input to shape what gets built.

  • Strong communication, initiative, and ability to learn quickly in a fast-moving team.

What Sets You Apart

  • Deep experience designing and operating AI Ops infrastructure at production scale, including robotics-grade data logging and observability (e.g., Foxglove).

  • Experience with advanced agent patterns: Multi-Agent Systems, Human-in-the-Loop workflows, or Long-Horizon Planning.

  • Prior experience shipping internal tools or customer-facing assistants used by real users.

  • Personal projects and a portfolio of agentic builds are a big bonus - we love seeing what you've shipped on your own.

$35 - $50 an hour
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.

Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.

Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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