Senior Software Engineer

About this role

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Skills you'll use

What you'll do

• Own projects or major features at the team level , including architecture, delivery strategy, team coordination, and measurable business outcomes.
• Lead technical standards for database changes, code review, testing, logging, and incident response across multiple modules.
• Guide architectural decisions that balance immediate delivery against long-term maintainability, deployment risk, and team capability.
• Lead production incidents involving financial, inventory, or shipping data—determining root cause, safe recovery, and preventive actions.
• Design incremental modernization strategies for complex legacy systems, prioritizing high-impact, bounded improvements over full rewrites.
• Establish database governance including change standards, schema compatibility, multi-customer testing, and safe migration procedures.
• Mentor and train developers in both technical skills (SQL Server, transaction design) and professional judgment (prioritization, risk assessment, incident response).
• Conduct thorough code reviews of changes to critical systems, focusing on business correctness, transaction safety, concurrency, and testability.
• Diagnose systemic issues (frequent defects, slow deployments, onboarding challenges) and propose solutions that improve team effectiveness.
• Communicate across boundaries with product, QA, customer success, and business leadership to understand priorities and constraints.

Who can apply

• Diagnose systemic issues (frequent defects, slow deployments, onboarding challenges) and propose solutions that improve team effectiveness.
• Communicate across boundaries with product, QA, customer success, and business leadership to understand priorities and constraints.
• Workflow integration: Embed AI across your team's development lifecycle—code generation, testing, documentation, refactoring, and knowledge transfer.
• Output risk ownership: Design validation steps appropriate to task criticality; ensure AI-generated work meets team standards before shipping.
• Team mentoring: Teach developers at all levels how to use AI effectively; know when to use AI and when to rely on human judgment.
• Pattern design: Establish team-wide standards for AI usage (e.g., "AI for boilerplate and documentation, always review; AI for core logic only with peer review").
• Tool selection and governance: Evaluate AI tools (Claude, ChatGPT, Copilot, etc.); recommend adoption based on team needs and security constraints.
• Continuous improvement: Identify where AI can improve developer productivity without sacrificing quality or security.

Perks & benefits

About Amtech Software

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