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Software Engineer II (AWS / Serverless / AI)

Reposted: 2 weeks ago• Recruiter recently active
Job Location
Remote Work Policy

Onsite or remote

Hires remotely in
Visa Sponsorship

Not Available

Preferred Timezones
Maldives Time
RelocationAllowed
Skills
Python
React.js
AWS

About the job

Founding Engineer (AWS / Serverless / AI Systems)

We’re looking for a hands-on Senior Software Engineer to help build and scale our cloud-native AI platform. This role is ideal for someone who enjoys owning systems end-to-end — from backend architecture and APIs to cloud infrastructure and production reliability.

You’ll work closely with founders to design, build, and operate highly scalable systems on AWS, with a focus on serverless architecture, distributed workflows, and AI-powered applications.

What You’ll Do
Design, build, and maintain scalable fullstack applications in Python/Java/React
Own cloud-native architecture on AWS with a strong focus on serverless systems
Develop and manage workflows using AWS Step Functions, Lambda, API Gateway, and event-driven services
Work with data storage systems such as Amazon Aurora and DynamoDB, choosing the right persistence models for scale and performance
Build secure, production-grade integrations with AWS services and external APIs
Work on AI/LLM-powered application components using Amazon Bedrock
Contribute to frontend features and product experiences using React
Improve system reliability, monitoring, performance, and cost optimization
Collaborate on architecture decisions, debugging, and production incident resolution

What We’re Looking For
2–4 years of software engineering experience building production applications
Strong experience in the AWS ecosystem, especially:
AWS Lambda
API Gateway
AWS Step Functions
Amazon Aurora
DynamoDB
Serverless architectures
2-4 years in Full Stack Development involving Python/Java/React
Working knowledge of frontend development using React
Familiarity with event-driven and distributed systems
Experience with CI/CD, cloud deployment, monitoring, and debugging in production
Understanding of security, scalability, and cost-efficient cloud design

Nice to Have:
Experience with Amazon Bedrock or LLM/GenAI application development
Experience with prompt orchestration, AI agents, or workflow automation
Familiarity with infrastructure as code (CloudFormation / CDK / Terraform)
Experience in startup environments where engineers own systems end-to-end

Who You Are:
Strong problem solver who can work independently
Comfortable taking ownership of critical systems
Hands-on engineer who can balance speed with engineering discipline
Curious about modern cloud architectures and AI systems
Excited to work in a fast-moving startup environment

Why Join Us
Work directly with founders on core platform architecture
Build AI-native systems from the ground up
High ownership and technical decision-making responsibility
Opportunity to shape product and engineering culture early

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