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Overnight Aws Serverless Developer Jobs in Riverside, CA

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112K - $154K/yr

Collaborate with AI/ML Engineers to productionize workflows. * Optimize infrastructure for ... AWS preferred), containerization and orchestration (Docker, Kubernetes/EKS, Ray) , and serverless.

Enterprise Architect

Santa Ana, CA · On-site

$146K - $182K/yr

Mentors' senior engineers and technical leads in good architecture practices and patterns, helping ... or AWS), including: * APIs and microservices. * Containerization and/or serverless. * Messaging ...

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Overnight Aws Serverless Developer information

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How much do overnight aws serverless developer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for overnight aws serverless developer in Riverside, CA is $17.82, according to ZipRecruiter salary data. Most workers in this role earn between $16.30 and $18.32 per hour, depending on experience, location, and employer.

What is an Overnight AWS Serverless Developer?

An Overnight AWS Serverless Developer is a software engineer who specializes in building and maintaining serverless applications on Amazon Web Services (AWS), working during overnight or non-standard hours. They use AWS services like Lambda, API Gateway, DynamoDB, and others to create scalable, event-driven solutions without managing traditional server infrastructure. These developers often handle real-time system monitoring, troubleshooting, and deployments to ensure 24/7 system reliability. Their overnight shift helps businesses maintain continuous development and support, especially for global operations or time-sensitive projects.

What are the key skills and qualifications needed to thrive as an Overnight AWS Serverless Developer, and why are they important?

To thrive as an Overnight AWS Serverless Developer, you need expertise in cloud computing, proficiency in programming languages like Python or Node.js, and a solid understanding of AWS services such as Lambda, API Gateway, and DynamoDB. Familiarity with AWS CloudFormation, CI/CD pipelines, and certifications like AWS Certified Developer are commonly expected. Strong problem-solving skills, attention to detail, and effective communication are vital soft skills, especially when working independently during overnight shifts. These competencies ensure robust, scalable solutions and reliable system maintenance without direct supervision, supporting uninterrupted business operations.

What is the difference between Overnight Aws Serverless Developer vs Cloud Engineer?

AspectOvernight Aws Serverless DeveloperCloud Engineer
CertificationsAWS Certified Developer, Serverless specializationAWS Certified Solutions Architect, Cloud certifications
Work EnvironmentFocus on serverless applications, AWS services, and overnight shiftsBroader cloud infrastructure, including servers, networking, and deployment
Industry UsagePrimarily in startups and companies leveraging serverless architectureWidespread across industries managing cloud infrastructure

The Overnight AWS Serverless Developer specializes in building and maintaining serverless applications on AWS, often working overnight shifts. In contrast, a Cloud Engineer manages comprehensive cloud infrastructure, including servers and networking. While both roles require AWS certifications, the developer focuses on serverless solutions, whereas the cloud engineer handles broader cloud environments.

What are some unique challenges faced by an Overnight AWS Serverless Developer, and how can they be managed?

Overnight AWS Serverless Developers often work independently or with a small team during off-peak hours, which can present challenges such as limited immediate support from colleagues or stakeholders and the need to troubleshoot issues quickly to minimize downtime. Strong documentation skills and proactive communication are essential for handing off progress to daytime teams. Additionally, developers must be adept at monitoring and maintaining serverless applications, addressing issues like scaling, performance, and unexpected errors during the night. Familiarity with AWS CloudWatch, Lambda, and automated alerting tools can help streamline these responsibilities and ensure seamless operations.
What are the most commonly searched types of Aws Serverless Developer jobs in Riverside, CA? The most popular types of Aws Serverless Developer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Overnight Aws Serverless Developer jobs? Cities near Riverside, CA with the most Overnight Aws Serverless Developer job openings:

Senior Machine Learning Platform Engineer

FieldAI

Irvine, CA • On-site

$112K - $154K/yr

Full-time

Posted 6 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.
What You'll Get To Do:
  • Design and manage scalable ML infrastructure with IaC tools (Terraform, CloudFormation).
  • Develop and optimize cloud-based pipelines for training, evaluation, and inference on multimodal datasets.
  • Build and operate data systems for large-scale video ingestion, indexing, and storage.
  • Maintain MLOps workflows for versioning, experiment tracking, reproducibility, and CI/CD.
  • Ensure reliability and observability with monitoring, logging, and alerting.
  • Collaborate with AI/ML Engineers to productionize workflows.
  • Optimize infrastructure for performance and cost across cloud and edge.
  • Enforce best practices in security, compliance, and maintainability.
  • Mentor and manage junior engineers, providing technical guidance and career development.

What You Have:
  • Bachelor's/Master's in Computer Science, Engineering, or related field (or equivalent experience).
  • 4+ years of industry experience in ML infrastructure or platform engineering.
  • Strong coding skills in Python/TypeScript and a strong foundation in software engineering best practices.
  • Proven experience with distributed systems, cloud platforms (AWS preferred), containerization and orchestration (Docker, Kubernetes/EKS, Ray), and serverless.
  • Hands-on experience building ML pipelines for distributed training and large-scale inference.
  • Strong knowledge of data management at scale, including preprocessing and retrieval of video/image datasets.
  • Proficiency with CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation), and automation.
  • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow).
  • Experience with system monitoring and observability in production.

The Extras That Set You Apart:
  • Experience with vector databases (OpenSearch, Pinecone, Weaviate) for indexing and retrieval.
  • Familiarity with distributed training frameworks (Horovod, DDP/FSDP, DeepSpeed, Ray).
  • Hands-on experience with GPU orchestration and auto-scaling (Karpenter, SageMaker, EKS).
  • Experience with agentic AI deployment workflows, orchestration frameworks, and retrieval-augmented generation.
  • Strong knowledge of security and compliance in ML and cloud environments.

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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.