Software Engineer - AI Augmented Development at PowerPay1

PowerPay is growing fast, and our technology team needs a hands-on engineer (reportintg to the Head of Technology) who can own a broad portfolio of development work independently — so our senior leadership can stay focused on product strategy, architecture, and client relationships. This is not a narrowly defined role. You will work across AWS infrastructure, backend services, data pipelines, and internal tooling. The work is meaningful, visible, and moves quickly. You will have real ownership over what you build. The ideal candidate is someone who thrives with autonomy, communicates proactively, and uses modern AI-assisted development tools as a force multiplier — not as a crutch. RESPONSIBILTIES: • Own delivery. Take ownership of development tasks end-to-end — from requirements to deployment — across backend services, data pipelines, and AWS infrastructure. • Write production code. Write Python and SQL across a variety of use cases: ETL pipelines, backend services, data quality checks, operational scripts, and API integrations. • Work in AWS. Build, modify, and maintain AWS infrastructure — Lambda functions, ECS/Fargate services, RDS, S3, SQS, CloudFormation stacks — with an emphasis on reliability and cost-efficiency. • Use AI tools fluently. Use AI coding tools (Claude Code, OpenAI Codex, Cursor, or similar) actively and effectively to accelerate your work. We expect these tools to be a core part of your workflow, not an afterthought. • Query and model data. Write clear, well-structured queries across relational databases. Understand schema design, indexing, and query performance. Snowflake experience is a bonus. • Communicate clearly. Communicate status, blockers, and decisions clearly — in Slack, in tickets, in PRs, and in conversations with both technical teammates and non-technical stakeholders. • Build with quality. Write tests for what you build. Follow the team's coding standards and review standards. Leave code in better shape than you found it. • Collaborate. Participate in code reviews, architecture discussions, and retrospectives. Offer and receive feedback constructively.