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Senior Software Engineer AI & Cloud Platforms
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Compunnel, Inc.
Roanoke, TX (In Person)
Full-Time
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Job Description
Job Summary The Senior Software Engineer - AI & Cloud Platforms is responsible for designing, developing, modernizing, and supporting large-scale distributed applications and cloud-based platforms. This role focuses on enhancing application scalability, reliability, cloud adoption, and operational excellence while leveraging modern software engineering practices and AI-driven development approaches. The ideal candidate will provide technical leadership, mentor engineering teams, and contribute to the delivery of mission-critical enterprise solutions. Key Responsibilities
- Facilitate technical discussions and drive solution design that aligns with business objectives and enterprise technology strategies.
- Provide hands-on technical leadership, mentoring, and guidance to engineering teams.
- Promote adoption of cloud-native development practices, AI-driven engineering methodologies, and software development best practices.
- Collaborate with business, technology, operations, infrastructure, and support teams to deliver scalable and reliable solutions.
- Design, develop, and support distributed systems and cloud-based applications.
- Identify technical risks, dependencies, and gaps, and establish mitigation strategies.
- Continuously improve software quality, development processes, operational efficiency, and time-to-market.
- Develop and maintain full-stack applications using modern Microsoft technologies and cloud platforms.
- Design and implement scalable integrations using REST and SOAP-based services.
- Support and optimize mission-critical services across multiple environments.
- Leverage telemetry, monitoring, and operational metrics to improve system reliability and performance.
- Participate in architecture discussions and contribute to technology roadmaps and modernization initiatives.
- Work within Agile delivery frameworks to support project execution, change management, and release activities.
- Mentor engineers and contribute to knowledge sharing, technical growth, and engineering excellence initiatives.
- Collaborate with geographically distributed teams to deliver complex, enterprise-scale solutions.
- Support AI-led development initiatives and incorporate agentic AI technologies into software engineering processes where applicable. Required Qualifications
- 6+ years of software development experience supporting large-scale enterprise applications and platforms.
- 6+ years of hands-on experience developing distributed systems and cloud-based solutions.
- 5+ years of experience delivering complex projects with multiple dependencies using Agile methodologies such as Scrum, Kanban, or Scaled Agile.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 4-6+ years of experience within financial services environments, preferably supporting brokerage-related systems.
- Knowledge of financial services concepts such as margin, options expiration, futures, violations, and pledged asset loans.
- Strong experience with Microsoft .NET Framework, C#, .NET Core, and Windows-based application environments.
- Experience developing front-end applications using Angular, RxJS, TypeScript, and PrimeNG.
- Experience integrating SOAP and REST-based services.
- Extensive experience with Google Cloud Platform (GCP) and Pivotal Cloud Foundry (PCF).
- Strong database expertise with SQL Server, PostgreSQL, and Aerospike NoSQL databases.
- Experience integrating applications with BPM platforms such as Appian.
- Expertise working with messaging technologies including IBM MQ and Kafka.
- Hands-on experience with agentic AI tools, frameworks, and AI-led Development Lifecycle (AI-DLC) methodologies.
- Strong understanding of modern software engineering principles, architecture patterns, and cloud-native development practices.
- Experience supporting mission-critical applications and services in production environments.
- Strong problem-solving, analytical, and troubleshooting skills.
- Excellent communication and collaboration skills with the ability to work across technical and business teams.
- Ability to manage multiple priorities in a fast-paced and evolving environment.
- Demonstrated experience mentoring engineers and providing technical leadership. Preferred Qualifications
- Experience modernizing legacy applications and migrating workloads to cloud environments.
- Experience implementing observability, monitoring, and telemetry-driven operational practices.
- Exposure to enterprise architecture frameworks and large-scale distributed platform design.
- Experience working with geographically distributed teams and global delivery models.
- Knowledge of emerging AI technologies, cloud-native architectures, and software engineering trends.
Primary Skills:
- Distributed Systems Development
- Cloud Platforms (GCP, PCF)
- Microsoft .NET Framework, C#, .NET Core
- Angular, RxJS, TypeScript, PrimeNG
- Agentic AI Tools and Frameworks
- AI-Led Development Lifecycle (AI-DLC)
REST/SOAP
Services- Kafka, IBM MQ
- SQL Server, PostgreSQL, Aerospike
- Appian Integration
- Agile Development Methodologies