Senior Software Engineer (G&A Solutions Engineering)

Quick Facts

• Role: Senior Software Engineer (G&A Solutions Engineering)

• Focus: Configuration-driven platform, secure event-driven services, versioned microservices/APIs, correctness/observability, and AI-natively automated development

Description

Join IS&T’s G&A Solutions Engineering team to build integrated enterprise technology solutions for global, high-concurrency business operations. You will design and own platform components end-to-end—from scoped design through production—while ensuring safe configuration changes, strong security boundaries, and reliable distributed operation. The role also includes AI-native development with coding agents, automated testing/quality gates, and enhanced CI/CD and monitoring.

Responsibilities

• Design, build, and own configuration-driven platform components from design through production

• Enable safe configuration changes (validated, versioned, previewable) with controlled promotion and rollback

• Build security, tenancy, and privacy into the platform itself

• Create event-driven services for high-concurrency, multi-tenant workloads

• Design APIs/contracts with clear versioning and compatibility checks

• Ensure interdependent components behave as one system, respecting boundaries and fixing cross-component issues

• Own correctness with tests, quality gates in the delivery pipeline, and participation in code review

• Diagnose and fix distributed-systems issues to root cause

• Operate services you ship: observability, deploy without downtime, participate in on-call

• Work AI-natively: use orchestrated coding agents and verify output with tests and review

• Build automation tools to streamline development tasks and performance tuning; integrate AI/ML for configuration recommendations, workload-aware scheduling, and LLM-powered operator interfaces

• Develop and maintain secure, versioned microservices exposing application lifecycle operations as APIs; handle concurrency and partial failures; evolve API surface without breaking consumers

• Integrate application management automation into CI/CD with automated testing, canary rollouts, and rollback

• Build and enhance monitoring, alerting, health checks, and self-healing remediation for known failure patterns

• Build agents for the AI SDLC to generate, run, triage, and maintain tests and quality gates

• Contribute reference implementations and partner to turn ambiguous problems into clear specifications

Requirements

• 5 years proven experience developing software professionally

• 4 years proven experience with Java or Kotlin, including concurrency, memory management, and performance optimization

• Proficiency in OOP, data structures, algorithms, and software design patterns with a focus on testable, maintainable, extensible backend code

• 4 years proven experience in at least one modern frontend stack (e.g., React/Next.js) plus LLM feature development

• Experience using TypeScript, Python, and JavaScript across the top three ecosystem languages

• B.S. in Computer Science/Computer Engineering or related field, or equivalent professional experience

Benefits

• Opportunity to build large-scale enterprise/customer technology systems with global, secure, high-concurrency impact

• Ownership of correctness, delivery quality gates, and production operations with observability and on-call participation

• AI-native development workflow with coding agents and automated verification through tests and review