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Senior Software Engineer – AI-First
ConsumerAffairs. Maintain living context files such as CLAUDE.md that encode project standards and learned preferences .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in software development with a strong focus on back-end and front-end programming, particularly in Python, Java, and React. Proficient in designing automated verification systems and maintaining AI context files to enhance system performance and reliability.
Highest-signal resume keywords
Python ProgrammingReact DevelopmentAutomated Verification WorkflowsAI Context File ManagementCI/CD Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Back-End Programming LanguagesFront-End Programming LanguagesRESTful APIsSQL Database SystemsNoSQL Database SystemsAlgorithmsData StructuresObject-Oriented ProgrammingDesign PatternsTesting
Soft Skills
Critical EvaluationProblem-SolvingCollaborationAdaptabilityTime Management
Tools & Technologies
AWSAzureGoogle CloudDockerKubernetesGitAI Coding Assistants
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceEngineering Degree
Industry Keywords
Multi-Service ArchitectureCI ChecksHooksTest GatesLiving Context Files
Tech Stack
Tools & technologiesAWSAzureCloudDjangoDockerGraphQLJavaJavaScriptKubernetesNode.jsNoSQLPythonReactRubySQLGo
About the role
Key responsibilities & impact- Maintain living context files such as CLAUDE.md that encode project standards and learned preferences
- Update context files whenever AI output is corrected
- Design verification systems, including hooks, CI gates, and acceptance criteria, to reduce line-by-line review of AI output
- Convert repeated manual corrections into system improvements, rules, reusable skills, and persistent context
- Run multiple agents on concurrent workstreams and coordinate their output coherently
- Identify logic errors, architectural drift, and hallucinated APIs that agents miss
- Improve systems rather than only patching individual outputs
- Participate in feature implementation, technical design, risk assessment, and delivery estimates
- Identify dependencies and preparatory work needed to keep the team unblocked
- Context-switch between concurrent workstreams, priority pivots, and emergent live issues
- Operate within a large codebase and understand system architecture and connections to CI/CD, automated testing, non-production environments, and linters
- Evaluate technical debt versus new feature development and account for dependencies affecting estimates
- Work across a multi-service architecture spanning Django/Python backends, React frontends, and a shared component library
- Own features end-to-end from database schema through UI components
- Allocate time to improve development systems alongside feature delivery
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 5+ years of professional software development experience
- Proficiency in one or more back-end programming languages, such as Python, Java, Node.js, Go, or Ruby
- Proficiency in front-end programming languages, including vanilla ES6+ JavaScript and React
- Experience with RESTful APIs, GraphQL, or other API architectures
- Strong knowledge of SQL or NoSQL database systems and query optimization techniques
- Familiarity with AWS, Azure, or Google Cloud
- Familiarity with Docker or Kubernetes
- Understanding of object-oriented programming, design patterns, and testing
- Experience with Git or other version control systems
- Experience with CSS, including responsive layouts, design system tokens, and component-scoped styles
- Daily use of AI coding assistants such as Cursor, Copilot, Claude, or equivalent
- Ability to critically evaluate AI-generated output, catch hallucinations, and integrate suggestions with judgment
- Experience using AI tools for code review, documentation, test generation, or debugging
- Comfort prompting LLMs for architecture exploration, refactoring, and boilerplate reduction
- Strong understanding of algorithms and data structures
- Experience maintaining living AI context files such as CLAUDE.md
- Experience designing automated verification workflows, hooks, test gates, and CI checks
- Ability to demonstrate a compound AI system that improves over time through deliberate system investment
- Experience building systems that verify themselves using rules, hooks, and context files
- Understanding of how agents can game tests, with concrete detection or prevention strategies
Benefits
Comp & perks- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development
- Work-life harmony
- Career development
- Collaborative environment
- Opportunities to take initiative and experiment boldly
- Celebrating wins together