Note: The job is a remote job and is open to candidates in USA. isolved is a leading provider of human capital management (HCM) solutions that combines modern technology with expert services and support. The Principal Software Engineer for the Platform Optimization team drives the design and implementation of performance, scalability, and reliability improvements across isolved's HCM platform, focusing on enabling the product to serve large enterprise clients.
Responsibilities
- Designing and implementing scalability and performance improvements that enable isolved to reliably serve large enterprise clients
- Identifying systemic platform bottlenecks through profiling, load testing, and production telemetry analysis, and developing strategies to resolve them
- Establishing performance budgets, benchmarks, and monitoring standards that prevent regression as the platform evolves
- Implementing patterns for multi-tenant scalability, data partitioning, and resource management, and sharing that knowledge with the broader team through code reviews and hands-on collaboration
- Performing code reviews with a focus on performance implications, query efficiency, and resource utilization
- Collaborating with product management and customer-facing teams to understand large-client pain points and translate them into technical improvement plans
- Driving adoption of caching, indexing, and query optimization strategies across the platform's data tier
- Raising the bar on performance engineering practices, load testing methodologies, and production observability across the team through hands-on collaboration and code reviews
- Using AI-assisted development tools - including agentic coding, spec-driven development, and AI-augmented code review - as a core part of your daily workflow to maximize velocity and code quality, and helping establish AI-augmented development practices across the team
Skills
- 10+ years developing web applications and services
- 3+ years developing cloud-native applications
- Demonstrated experience with performance engineering and optimization at scale
- Demonstrated use of AI-assisted development tools (GitHub Copilot, Claude Code, Cursor, or similar) as part of professional development workflows
- Ability to work independently to research and solve complex problems
- Strong Skills In Azure (App Services, Functions, SQL, Redis, Application Insights)
- Microservice Architecture
- C#
- SQL Server performance tuning and query optimization
- Unit Testing
- .NET / ASP.NET Core WebAPI
- Load testing and performance profiling tools
- Experience with Distributed caching strategies (Redis, Azure Cache)
- Database indexing, partitioning, and sharding patterns
- Application Performance Management (APM) tooling
- SOLID principles
- JavaScript
- Experience optimizing multi-tenant SaaS platforms
- Azure CosmosDB or other NoSQL databases
- Pub/Sub and asynchronous messaging
- Docker and container orchestration
- Experience with large (500+ table) system development
- Terraform or infrastructure-as-code
Company Overview