Staff Software Engineer

As a Staff Software Engineer, you will work closely with Engineering and Product teams to build and enhance cloud-native applications and services.

You will take ownership of complex engineering tasks, develop production-quality software, solve scalability and reliability challenges, and mentor other engineers.

We are looking for someone who enjoys writing code, solving difficult technical problems, and delivering reliable software., * Hands-on Development: Design, develop, test, and maintain scalable microservices, REST APIs, and cloud-native applications using TypeScript and Node.js.

• Cloud-Native Engineering: Build and deploy applications on AWS and Kubernetes/EKS using Docker, CI/CD, and infrastructure automation.
• Distributed Systems: Develop reliable, event-driven services and integrations, addressing scalability, concurrency, fault tolerance, and data consistency.
• Engineering Excellence: Mentor engineers, promote coding best practices, improve automated testing, and contribute to developer productivity.
• Performance & Reliability: Troubleshoot production issues, optimize performance, improve observability, and ensure reliable software delivery.
• Technical Collaboration: Participate in technical design discussions, code reviews, and implementation planning.
• AI Integration (Plus): Opportunity to contribute to AI-powered capabilities using LLMs, Agentic AI, MCP, and related technologies., * Core Development: TypeScript, Node.js, React
• Cloud & Infrastructure: AWS, Kubernetes/EKS, Docker, Terraform, ArgoCD
• Data & Messaging: PostgreSQL, SQL Server, Redis, Kafka, Snowflake
• Observability: Datadog, OpenTelemetry, Prometheus, Grafana
• Additional Technologies: C#, ASP.NET
• AI (Nice to Have): LLMs, Agentic AI, MCP

What Success Looks Like

• Deliver high-quality, production-ready features and services.
• Independently solve complex engineering and integration challenges.
• Improve application reliability, performance, and maintainability.
• Mentor engineers and promote strong engineering practices.
• Contribute to AI-enabled product capabilities as opportunities arise, with support from our AI/ML engineering teams.

Why Aspect?

• Massive Reach: Our software impacts the daily lives of millions of workers globally. Your work ensures their workdays are seamless.
• Innovation at Scale: Work on the bleeding edge of AI-driven workforce intelligence within a stable, industry-leading company.

• 8+ years of professional software development experience building enterprise applications.
• Strong hands-on experience with TypeScript, Node.js, and backend development.
• Experience developing microservices, REST APIs, and cloud-native applications.
• Practical experience with AWS, Docker, Kubernetes/EKS, and CI/CD.
• Strong understanding of distributed systems, event-driven architectures, concurrency, and fault tolerance.
• Experience with databases and messaging technologies such as PostgreSQL, SQL Server, Redis, or Kafka.
• Strong debugging, troubleshooting, and performance optimization skills.
• Good understanding of application security, authentication, authorization, and secure API development.
• Ability to independently solve complex engineering problems and collaborate effectively across teams.

Preferred Qualifications (Nice to Have)

• Experience integrating LLMs, Agentic AI, MCP, or other AI-powered capabilities.
• Experience with Terraform, ArgoCD, and infrastructure automation.
• Familiarity with observability tools such as Datadog, OpenTelemetry, Prometheus, or Grafana.
• Experience with highly available, multi-region cloud applications.
• Familiarity with React, C#, or ASP.NET.
• Experience with workforce management (WFM), CCaaS, or workforce orchestration., This is a hands-on Staff Software Engineer role focused on building and delivering complex cloud-native solutions, rather than owning enterprise-wide architecture strategy. xrbllit AI experience is a plus, not a requirement.