Senior Software Engineer

About Vista Equity Partners

Vista Equity Partners is a leading global investment firm focused exclusively on enterprise software, data, and technology-enabled businesses. With over $100B in assets under management and a portfolio of 90+ software product companies worldwide, Vista accelerates growth through operational excellence, shared expertise, and long-term partnership. In India, Vista’s presence continues to expand with 45+ portfolio companies employing more than 17,000 professionals across technology, product, customer success, and operations — reinforcing India’s strategic role as a hub of innovation and talent within the Vista ecosystem.

Through its Agentic AI Factory, Vista is embedding Generative AI across its global portfolio — enabling companies to integrate intelligent, responsible AI into products, operations, and decision-making. This initiative is strengthened through portfolio-wide learning programs, leadership workshops, and AI hackathons that foster innovation, build fluency, and accelerate practical AI adoption across teams.

About Amtech

Amtech is a leading provider of enterprise software solutions for the packaging, printing, and manufacturing industries. Our integrated systems streamline order management, production planning, scheduling, inventory, and business analytics — empowering customers to drive efficiency, reduce costs, and improve operational performance. With a strong commitment to innovation and customer success, Amtech delivers reliable technology backed by deep industry expertise.

With Vista’s investment and strategic guidance, we combine the agility of a growing technology organization with the scale, stability, and career mobility of a global software ecosystem.

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.

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 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, 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 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 automated testing around static globals, databases, and legacy code without large rewrites.

Design of representative test fixtures and characterization tests that preserve existing behavior.

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