Description
Our Employee Value Proposition
At Amtech, our people are our greatest differentiator. We create an environment where you can:
Purpose
Shape the future of manufacturing and supply chain operations by delivering mission-critical enterprise software used by industry-leading organizations.
Growth
Access continuous learning, leadership development, and cross-portfolio opportunities through Vista’s global network — accelerating both technical and managerial career paths.
Culture
Work in a collaborative, transparent, and people-first environment where values, accountability, and integrity guide every decision.
Innovation
Engage with cutting-edge technologies, including AI-driven automation, and contribute to modernizing financial systems and operational processes across the business.
Role Description
Amtech is seeking a Senior Software Engineer to lead technical improvements across multiple modules and teams on a portal built for label and flexible packaging converters to make order intake efficient, intelligent, and collaborative for service representatives, distributors, and customers.
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 (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 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.
Required Qualifications
Technical Leadership
Senior PHP Knowledge (The Core Engine)
- Advanced PHP Concepts: Complete mastery of PHP 8.x features (Attributes, JIT compiler, Union Types).
- Design Patterns: Expert implementation of SOLID Principles, Domain-Driven Design (DDD), and Repository patterns.
- Enterprise Frameworks: Deep architectural understanding of modern frameworks like Laravel or Symfony.
- Asynchronous Execution: Designing queue workers and event systems using RabbitMQ or Kafka.
- Caching Layers: Strategizing multi-tier backend caching using Redis or Memcached.
- Testing & Quality: Implementing robust automated pipelines via PHPUnit for unit testing.
Senior ReactJS Knowledge (The Front-End Interface)
- Advanced Lifecycle: Mastery of the Virtual DOM, custom hooks, and concurrent rendering options.
- State Management: Scalable architecture using Redux Toolkit, Context API, or Zustand.
- Meta-Frameworks: Production experience with Next.js for Server-Side Rendering (SSR) and SEO management.
- Performance Tuning: Preventing re-renders using useMemo, useCallback, and code-splitting lazy-loads.
- TypeScript Mastery: Enforcing strong typing across components, API contracts, and state engines.
- E2E Testing: Writing visual and behavior workflows using Cypress or Playwright.
AWS Cloud Knowledge (The Infrastructure Layer)
- Compute & Serverless: Deploying containerized apps via Amazon ECS/EKS and building serverless logic with AWS Lambda.
- Data Management: Provisioning relational systems with Amazon RDS (MySQL/PostgreSQL) and NoSQL utilizing DynamoDB.
- Hosting & CDN: Hosting front-end assets on S3 and accelerating global delivery using Amazon CloudFront.
- Networking & Security: Setting up Virtual Private Clouds (VPC), managing IAM roles, and securing API Gateways.
- DevOps Infrastructure: Writing Infrastructure as Code (IaC) via AWS CDK or Terraform to build automated CI/CD toolchains.
- Expert C# architecture and patterns:
- Deep understanding of dependency injection, service composition, and testable boundaries around legacy code.
- Ability to design for incremental improvement: extracting bounded capabilities, running old and new in parallel, and rolling back safely.
- Expertise in transaction design, including outbox patterns and separation of database transactions from external calls.
- Proficiency with async/await, error handling, and graceful degradation in distributed systems.
- Expert SQL Server and database governance:
- Deep understanding of locking, concurrency, isolation levels, and deadlock prevention.
- Ability to design safe, rerunnable migration scripts for large production tables with considerations for blocking, compatibility, and rollback.
- Expertise in data validation, reconciliation queries, and detecting partial failures.
- Standards for database change management: idempotency, parameterized queries, peer review, and phased deployment.
- Understanding of customer schema variations and how to test against representative database snapshots.
- Testing and quality standards:
- Ability to introduce
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