Software Developer

Procede Software LP•Solana Beach, CA

16h•Hybrid

About The Position

The Software Developer is part of an agile development team responsible for building enterprise grade software systems using modern cloud-native and SaaS oriented technologies. This role contributes across the full software development lifecycle, including design, development, testing, and deployment, while leading complex initiatives and mentoring junior team members. The position requires deep expertise in cloud platform services, modern web application frameworks, event driven architectures, and containerized deployment strategies, particularly as the organization transitions from a legacy on premises monolithic system to a scalable cloud based environment. The team operates within an AI augmented software development lifecycle, leveraging AI assisted tools to accelerate delivery, improve code quality, and enable automation across the development pipeline, and this role performs work with a high degree of independence while reporting to the Senior Director of Software Development.

Requirements

Bachelor’s degree in Computer Information Systems or related field (Equivalent professional experience may substitute for formal education)
6+ years in software engineering, technical architecture, or AI-augmented development roles, with significant time spent in cloud-based and/or SaaS product environments
Ability to sit at a desk, computer terminal or meeting table for a long period of time
Ability to use hands and fingers or adoptive equipment to safely operate assigned equipment
Ability to lift up to 20 lbs
Ability to use telephone frequently for a long period of time, and to hear and speak clearly by telephone

Nice To Haves

Experience architecting cloud-native solutions on managed platform services such as web application hosting, serverless functions, API management, and managed databases, as well as event driven architectures using messaging and streaming patterns
Experience supporting or leading the migration of legacy on-premises monolithic applications to cloud-native distributed architectures, including identifying seams, sequencing migrations, and managing risk
Understanding of API development, integration patterns, and secure service-to-service communication
Strong code review skills, including the ability to identify architectural drift, security gaps, hallucinated or incorrect outputs, and subtle correctness issues that may not be detected by automated tools
Understanding of modern programming languages and software design principles, with the ability to read, evaluate, and refine AI generated code
Experience with containerized deployments, infrastructure management practices, and CI/CD pipelines in cloud environments
Experience with relational and non-relational database design, querying, and managed cloud database services
Ability to analyze and understand existing codebases, including legacy systems, and accurately interpret system behavior and intent

Responsibilities

Architect cloud-native solutions across managed services such as serverless compute, managed databases, API gateways, and web hosting, as well as event-driven systems using message brokers and streaming platforms; own the topology, contracts, and failure modes
Direct fleets of agentic coding assistants to deliver new applications, services, and front-end experiences by defining the intent, establishing architectural guardrails, and ensuring quality in design, accessibility, and user experience
Lead the decomposition of legacy monolithic applications into cloud-hosted services; identify seams, define bounded contexts, sequence the migration, and oversee agent driven refactoring efforts end to end
Engineer and continuously refine prompts, context, evaluation harnesses, and agentic workflows that support an AI-augmented software development lifecycle
Conduct code reviews with a focus on identifying architectural drift, security gaps, and subtle quality issues that may not be detected through automated review tools
Own observability, reliability, and performance of cloud-hosted services; diagnose production issues that require cross system reasoning, including those originating from AI generated code
Set technical direction, mentor junior engineers on effectively leveraging AI-assisted tooling, and communicate clearly across technical and non technical audiences, including explaining outputs generated by AI-assisted tools and the rationale for human decisions