Backend Engineer; Cloud Services & APIs

We're looking for a Back-End Engineer to own the foundational Cloud infrastructure and API services that enable our platform's scale and reliability. This role is a critical blend of software engineering and Dev Ops, focusing on designing, building, and scaling our core distributed systems, data processing pipelines, and high-availability APIs gateway.

You'll work closely with data scientists, platform engineers, and core product teams to provision, automate, and secure the cloud resources that handle vast amounts of survey-grade data. If you thrive on building resilient AWS infrastructure, maximizing API performance, and maintaining continuous delivery, you'll be a vital part of our team.

Work setup Fully remotely or in a hybrid setup

Compensation Base salary ranging from $150,000 to 185,000

Benefits Health, Vision, Dental, and 401(k)

4-7 years of experience in a specialized Back-End, Cloud, or Dev Ops Engineering role

AWS Deep, demonstrable experience with a major cloud provider, preferably AWS

Unlimited vacation policy to help you maintain a healthy work-life balance

401(k) excellent Health, Vision, Dental, and 401(k) benefits

At Looq AI, you won't be writing boilerplate code. You will be building and scaling the foundational Cloud architecture that handle vast datasets generated by our innovative survey technology. You'll directly enable real-world applications of 3D mapping, computer vision, and machine learning by creating the robust infrastructure for processing and serving Point Cloud data and executing complex algorithms at scale.

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Cloud Expertise:
Deep, demonstrable experience with a major cloud provider, preferably AWS (e.g. VPC, ECS/EKS, S3, Lambda, SQS, RDS, etc.).

Infrastructure as Code (IaC):
Proven proficiency with Terraform or similar tools for managing cloud environments.

Languages:

Strong experience with Python or Node.js for writing performant back-end services and Lambda functions.

APIs & Data:
Expertise in designing REST, GraphQL, or gRPC APIs, and solid understanding of SQL/No

SQL databases (PostgreSQL, MongoDB) in a high-throughput environment.

Containerization:
Strong practical experience with Docker and Kubernetes EKS/ECS orchestration.

Systems Monitoring:
Experience implementing and maintaining production-grade monitoring, centralized logging, and alerting tools.

Bonus:
Experience with event streaming technologies (e.g., Kafka, Kinesis and microservices patterns.

Degree in Computer Science or equivalent experience.

4-7 years of experience in a specialized Back-End, Cloud, or Dev Ops Engineering role.

Proven ability to design, deploy, and maintain cloud-native production systems and API gateways.

Strong problem-solving and debugging skills, particularly in distributed environments.

Thoughtful about security, documentation, and system resilience.

Able to work autonomously while collaborating closely with cross-functional teams.

Join us in sunny Sorrento Valley, San Diego, with flexible remote options- work fully remotely or in a hybrid setup. We prioritize work-life balance and support your lifestyle, plus enjoy delicious, free lunches a couple of times a week that'll keep you fueled and excited for the day ahead.

We offer excellent Health, Vision, Dental, and 401(k) benefits, including an unlimited vacation policy to help you maintain a healthy work-life balance.

Base salary ranging from $150,000 to 185,000, with eligibility for stock options as part of the total compensation package.

At Looq AI, we value diversity. We are an equal opportunity employer of minorities, females, veterans, and individuals with disabilities. We don't just talk the talk; we walk the walk.

Established in 2021, Looq AI is not your average tech company. We're on a mission to revolutionize infrastructure digitization and analysis, bringing a fresh perspective to the field. Our innovative survey technology platform, the Looq platform, is changing the game. It enables lightning-fast and scalable 3D capture of survey-grade information, empowering decision-makers and enhancing operational efficiency across engineering and utility projects.