.net Developer [AQ-17375]

On‑site role in Austin or Southlake. Pay Range: $60/hr – $67/hr.

About the Role

Aquent, in partnership with Kelly OCG, is seeking a highly skilled and passionate individual to contribute to AI‑assisted workflows across the System Development Life Cycle for a prestigious client in the financial services industry. You will integrate .NET engineering, event‑driven architecture, cloud‑native platforms, and Generative AI‑assisted delivery to build ultra‑low latency, high‑volume, and reliable trading and financial technology platforms that process billions of transactions daily.

Key Responsibilities and Impact

• Contribute to the design and implementation of scalable, resilient, and event‑driven applications using .NET, Kafka, and cloud‑native architecture patterns, directly impacting the robustness of critical financial systems.
• Build and modernize high‑volume services, APIs, and distributed application capabilities that ensure reliable transaction processing for billions of daily transactions.
• Partner closely with architects, product owners, developers, and adjacent technology teams to translate complex business requirements into high‑quality technical solutions that drive strategic objectives.
• Utilize cutting‑edge GenAI coding assistants to accelerate implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation while maintaining ownership for correctness and quality.
• Apply agentic workflows, prompt engineering, custom instructions, and spec‑driven development practices to continuously improve productivity and foster an innovative development environment.
• Strengthen engineering quality through rigorous automated testing, disciplined code reviews, performance analysis, observability, resiliency practices, and meticulous production readiness.
• Support critical modernization initiatives by migrating legacy capabilities toward distributed .NET services, cloud‑native platforms, event‑driven architecture, and modern data stores.
• Collaborate effectively with engineers in a team‑oriented environment, contributing to the adoption of repeatable and responsible AI‑assisted development practices across the organization.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• 5+ years of professional software engineering experience developing scalable .NET, cloud‑based, or web services applications that support high‑volume transactions in highly available environments.
• Hands‑on experience designing and implementing scalable, resilient, and event‑driven applications using .NET and Kafka, with deep knowledge of distributed systems, stream processing, performance optimization, and cloud‑native architectures.
• Working experience with IBM MQ, Kafka, Splunk, JSON/XML, caching, performance analysis and profiling, Twelve‑Factor App methodology, resiliency patterns, and observability patterns.
• Demonstrated experience owning technical components or features and collaborating effectively within a software delivery team.
• 4+ years of experience building and deploying cloud‑native applications using GCP, Docker, Kubernetes, microservices, and CI/CD practices.
• Experience with cloud platforms and deployment environments such as PCF, AWS, or GCP.
• 2+ years of experience working with databases such as MongoDB, Aerospike, PostgreSQL, or comparable relational and NoSQL platforms.
• Experience contributing to IT transformation or system modernization initiatives involving legacy platforms, distributed .NET applications, or modern data platforms.
• 1+ years of hands‑on experience with AI/ML implementation, production deployment, or AI‑assisted engineering practices.
• Hands‑on experience or practical exposure to Large Language Models such as GPT, Claude, Gemini, PaLM, or comparable enterprise AI platforms.
• Demonstrated hands‑on experience using GenAI coding assistants across SDLC workflows, including implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation.
• Practical familiarity with tools such as GitHub Copilot and/or Claude Code in IDE or CLI‑based workflows, applying AI assistance to reduce context switching and accelerate delivery beyond code generation.
• Working knowledge of agentic workflows, spec‑driven development, custom instructions, and prompt engineering.
• Knowledge of Agile methodology and experience in an Agile working environment.
• Experience with the Atlassian tool stack, including Jira and Confluence.
• Understanding of broker‑dealer domain capabilities and operations, with preferred experience in the financial services industry.
• Strong communication skills and proven ability to collaborate with engineers and cross‑functional partners.
• Collaborative mindset and bias for action, effectively partnering with developers, architects, and adjacent teams to drive outcomes.

Preferred Qualifications

• Master’s degree in Information Technology, Computer Science, Software Engineering, Artificial Intelligence, or a related field, or equivalent practical experience.
• Experience in Test Driven Development, Behavior Driven Development, QA automation, and a quality engineering mindset.
• Proficiency in creating architecture diagrams, design documentation, functional and technical specifications, automated test process documentation, runbooks, and production/test environment documentation.
• Experience with performance engineering, reliability testing, resiliency validation, and operational readiness for high‑volume distributed platforms.
• Exposure to AI‑assisted SDLC transformation initiatives, internal developer productivity programs, or enterprise AI implementation patterns.
• Experience supporting or mentoring peers on .NET engineering practices, cloud‑native implementation, distributed systems, or responsible AI‑assisted software delivery.

Benefits

• Subsidized health, vision, and dental plans.
• Paid sick leave.
• Retirement plans with employer match.
• Inclusive environment that values diverse backgrounds, experiences, and perspectives.

Pay

$60/hr – $67/hr