Job Description SMArtX Advisory Solutions is seeking a Senior Software Engineer to build and optimize the serverless backbone of their managed account platform. This role sits on the Trade Generation team, which owns the most computationally demanding and operationally critical services in their stack. The ideal candidate has built platforms with interconnected services, and can talk fluently about the trade-offs they made — queue design, execution orchestration, cold-start mitigation, fan-out/fan-in patterns, failure containment.

Key Responsibilities:

• Architect and implement serverless, event-driven services (AWS Lambda, Step Functions, EventBridge, SQS/SNS) that process high-throughput workloads reliably and at scale.
• Translate functional requirements into clean, efficient, testable backend code in Python (primary) and C#/.NET, with a strong bias toward Python-based serverless implementations.
• Diagnose and resolve complex distributed-systems problems: race conditions, fan-out bottlenecks, cold-start latency, execution-plan regressions, and cross-service failure propagation.
• Build and optimize RESTful APIs that serve high-concurrency workloads behind API Gateway.
• Own performance and reliability of compute-intensive services — profile, benchmark, and optimize until the system meets SLA under peak load.
• Design and optimize relational and NoSQL data stores (SQL Server, DynamoDB, PostgreSQL) with attention to query performance, index strategy, and schema evolution.
• Conduct code reviews with a focus on architecture, correctness, efficiency, and maintainability.
• Write clear technical documentation in Confluence to explain complex system logic and operational runbooks to cross-functional teams.
• Participate in Agile ceremonies and collaborate with product owners and peer squads to align technical solutions with platform needs.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review

Insight Global's Workforce Privacy Policy:

https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 5+ years of professional software development experience in Python and/or C#/.NET Core.
• 4+ years designing and operating cloud-native, serverless applications in AWS — not just deploying Lambdas, but owning the architecture of complex, multi-service workflows end to end.
• Demonstrable experience building extremely complex distributed systems — you can walk us through the architectural decisions you made, why you made them, and what broke when you got it wrong.
• 4+ years designing relational and NoSQL databases, including query optimization and schema design for high-throughput workloads.
• Strong understanding of data structures, algorithms, and computational complexity as applied to real production systems.
• Proven ability to diagnose and resolve performance issues through code profiling, distributed tracing, and systems-level analysis.
• Experience with infrastructure-as-code (Terraform, CloudFormation).
• Familiarity with Docker and container orchestration (ECS/Fargate).
• AWS certifications (Solutions Architect or Developer).
• Experience with observability and performance monitoring tooling (CloudWatch, Datadog, X-Ray, distributed tracing).