Senior Full-Stack Engineer
Arc Full-time
United States
13 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
JavaScript (Programming Language)
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Amazon Cloudfront
Amazon Elastic Compute Cloud
Amazon S3
Audit Trail
Information Engineering
Extract Transform Load (ETL)
Django Web Framework
Elasticsearch
+21 more
Identity and Access Management
Python (Programming Language)
PostgreSQL
Machine Learning
Query Optimization
Role-Based Access Control
Redis
Systems Integration
ReactJS
Large Language Models
Caching
Indexer
Amazon Virtual Private Cloud (VPC)
Fastapi
Amazon Relational Database Service
Celery
Route53
Functional Programming
Cloudwatch
Amazon Simple Queue Service (SQS)
Data Pipelines
Requirements
- 8+ years of production engineering experience
- Deep expertise in Python, including Django and FastAPI
- Strong experience managing full AWS infrastructure, including:EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch, CloudFront, Route 53, SQS/SNS, and Secrets Manager
- Advanced PostgreSQL experience, including schema design, query optimization, indexing, and replication
- Elasticsearch experience, including indexing, query optimization, and cluster management
- Experience using Redis and Celery for asynchronous task infrastructure and caching
- Strong experience with React or an equivalent modern JavaScript framework
- Experience integrating third-party APIs across multiple vendors
- Hands-on experience integrating LLMs, including Anthropic and OpenAI APIs
- Experience building data pipelines and aggregation systems
- Security-conscious engineering experience, including: Encryption at rest and in transit, Audit logging, Role-based access control
- Ability to own systems end-to-end, from architecture and development through deployment and production support
Nice to Have
- Data engineering or ETL experience
- Machine learning or applied AI engineering experience
- Experience building infrastructure for regulated industries
Tenure and Profile Requirements
- Four or more years at each of your last two companies is preferred
- Demonstrated history of long-term system ownership rather than frequent short-term roles
- Strong professional references from managers who worked with you for at least three years
- We are looking for engineers who build for the long term and remain committed to the systems they own
Benefits & conditions
- Competitive base salary based on experience and location
- Annual performance bonus
- Full-time, exclusive dedication required
- Long-term commitment expected
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