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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and architecting scalable Node.js applications while ensuring alignment with business performance and stakeholder requirements. Proficient in mentoring engineering teams and implementing automation and process improvements within software development.
Highest-signal resume keywords
Node.js Application DevelopmentData-Intensive SaaS ApplicationsMicroservices ArchitectureREST API DevelopmentAgile Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringBackend DevelopmentDatabase ManagementData ETLTechnical User StoriesArchitecture DesignScalability SolutionsPerformance OptimizationAutomation OpportunitiesAI-Assisted Coding Tools
Soft Skills
Communication SkillsInterpersonal SkillsActive ListeningTime ManagementAdaptability
Tools & Technologies
Mongo AtlasDockerKubernetesAWSAzureGCPRedisDatadogCodefreshAI-Powered Code Review Agents
Certifications & Qualifications
Bachelor's Degree in Technical Field
Industry Keywords
Investment SegmentSaaS ApplicationsStakeholder RequirementsProduct PlanningGenerative AI Tools
Tech Stack
Tools & technologiesAWSAzureDockerETLGoogle Cloud PlatformJavaJavaScriptKafkaKubernetesMicroservicesNode.jsReactRedis
About the role
Key responsibilities & impact- Design and architect scalable, robust, and high-performance Node-based applications
- Ensure software solutions meet business, performance, scalability, and reliability requirements
- Lead architecture for all components in an investment segment
- Design systems in the investment segment
- Support the Product Manager in product planning and business performance for one or more products
- Understand stakeholder requirements and turn them into consumable backlog items
- Write technical user epics and stories with user acceptance criteria
- Participate in story grooming exercises
- Coordinate with architects to ensure technology decisions are made and implemented
- Identify business process improvements and automation opportunities
- Mentor and guide a team of engineers
Requirements
What you’ll need- 8-10+ years of experience in software engineering, focused on data-intensive and scalable SaaS applications
- Expert-level Node.js experience for backend application development and architecture is required
- Java experience is a plus but not required
- Bachelor’s Degree (or higher) in a technical field
- Track record of designing and developing data products or software products
- Expertise in Node for backend development
- Familiarity with frontend scripting languages such as React is a plus
- Expertise with databases, particularly Mongo Atlas, and developing/consuming REST APIs
- Exposure to Docker, Kubernetes, Kafka, and microservices architecture is a must
- Basic understanding of agile and scrum methodologies is a must
- Hands-on experience with AWS, Azure, GCP, Redis, Security Domain, Datadog, and Codefresh is advantageous
- Working knowledge of data ETL is preferred
- Ability to communicate with stakeholders at all organizational levels
- Excellent verbal and written communication skills
- Excellent interpersonal skills and active listening
- Ability to set and meet time-sensitive goals
- Ability to handle multiple tasks simultaneously and adapt to change while providing structure to operations and go-to-market teams
- Proficiency with AI-assisted coding tools such as GitHub Copilot, Cursor, or Amazon CodeWhisperer
- Experience using AI-powered code review agents
- Ability to evaluate AI-generated code for correctness, security, and maintainability
- Familiarity with LLM APIs or agentic workflows
- Comfort incorporating generative AI tools into daily engineering workflows
- Preferred: GitHub spec-driven development, constitutions and skills/agents MD, agentic workflows and multi-step AI pipelines, prompt engineering and fine-tuning strategies, AI observability and evaluation frameworks, RAG patterns and vector database integrations, AI tooling adoption leadership or mentoring, and responsible AI principles
Benefits
Comp & perks- 100% remote work anywhere in the US
- AI-assisted coding tools and AI-powered code review agents incorporated into engineering workflows