Sr Software Engineer

Senior Software Engineer - Job Description

Location: [Remote/On-site/Hybrid]
Experience Level: Senior (5-9 years)
Reports To: [VP Engineering/Engineering Director]

Position Overview

We are seeking a Senior Software Engineer to lead technical improvements across multiple modules and teams on the EnCore ERP platform. You will own complex projects and major features while establishing standards, guiding architecture decisions, and improving how the entire team delivers safely and efficiently. At this level, you are a trusted technical leader who balances urgent customer needs with long-term modernization-and who sets the bar for code quality, testing, and production safety across the organization.

This role emphasizes team-level impact, technical leadership, production-risk judgment, and incremental modernization of large legacy systems. You will mentor developers, lead incident response, establish database governance and testing standards, and guide architectural choices. You will think about deployment risk, customer variation, and business priorities-not just code correctness.

Key Responsibilities

• 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 (PPJ, WiseJ, 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.

AI Proficiency (L3: AI Power User)

Scope: Team-wide productivity; architect AI workflows; mentor others; set organizational patterns

• Workflow integration: Embed AI across your teams 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, 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.

Examples:

• Design a team-wide AI workflow for onboarding new developers on complex legacy modules.
• Establish code review standards that include AI-generated code validation requirements.
• Use Claude to generate comprehensive documentation, test plans, and architectural diagrams-with team validation.
• Mentor peers and team members on effective AI usage; help them identify when AI is appropriate vs. when human judgment is essential.
• Propose AI-assisted approaches to common pain points (slow tests, documentation gaps, refactoring burden).
• Set policies and guidelines for your team on data safety, secrets, and appropriate AI tool usage.

Required Qualifications

Technical Leadership

• Expert C# architecture and patterns :

• Deep understanding of dependency injection, service composit…