Build cloud native services on AWS using the right mix of serverless, containerized, and event driven patterns
Work across Go or Python depending on what best serves the platform and the problem
Design and implement small LLM powered features using AWS Bedrock in a safe, controlled, user initiated manner
Strengthen reliability and observability across distributed systems through logging, metrics, tracing, and actionable dashboards
Apply modern AWS service patterns to improve scale, reduce cost, and accelerate development
Contribute to internal best practices for integrating deterministic logic with AI assisted workflows
Help the team adopt efficient cloud first patterns and improve the way we build and operate services on AWS
Make the whole team better by advocating for best practices, gently reminding people of why the processes we have exist, and helping less experienced engineers find ways to ‘level up’

Requirements

Strong hands on experience building backend systems on AWS using services such as Lambda, ECS, SQS, SNS, DynamoDB, S3, API Gateway, and IAM
Experience writing production software in Go or Python and the ability to move between both
Familiarity with AWS Bedrock or other LLM platforms and how to integrate model calls into backend services
Experience instrumenting applications with observability tooling for metrics, logs, and traces
Practical knowledge of event driven architecture, asynchronous processing, and distributed debugging
Solid understanding of CI/CD workflows, deployment patterns, and version control using GitHub
Experience designing and evolving REST based APIs in production environments

Benefits

Estimated base salary range $120,000 - 170,000 plus annual discretionary bonus.
Exact compensation for this role depends on a variety of factors, including experience, skills, internal equity, market data, and location.
To view our benefits package, visit the PerformLine Careers page!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AWSGoPythonAWS BedrockLambdaECSSQSSNSDynamoDBREST APIs

Soft Skills

advocating for best practicesmentoringteam collaborationcommunicationproblem solvingprocess improvementleadership