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Software Engineer
Nimble GravitySoftware Engineer building secure Azure/AWS full-stack solutions for financial institutions adopting AI. Developing APIs, applications, tests, cloud deployments, and AI-enabled business outcomes.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying cloud solutions using Azure and AWS, with a strong focus on full-stack development, unit testing, and API design. Proficient in leveraging Python and TypeScript to build scalable SaaS applications and secure data management practices.
Highest-signal resume keywords
Cloud Solutions DevelopmentFull-Stack DevelopmentAPI DesignSaaS Application DeploymentData Storage Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonTypeScriptAzureAWSFastAPINextJSPostgreSQLSQL ServerRedisAWS Dynamo
Soft Skills
Problem AnalysisTeam CollaborationCommunication
Tools & Technologies
Azure SQL DBApp ServiceContinuous IntegrationContinuous DeliverySource Code Repositories
Industry Keywords
SaaSREST APIsAI FrameworksData SecurityFinancial Institutions
Tech Stack
Tools & technologiesAWSAzureCloudNext.jsPostgresPythonRedisSQLTypeScript
About the role
Key responsibilities & impact- Develop, improve, test, and deploy cloud solutions in Azure or AWS
- Participate in internal and customer-facing design discussions from estimation through deployment of full-stack solutions
- Contribute across the software development lifecycle, including front-end and back-end development, unit tests, end-to-end tests, and data migrations
- Participate in daily meetings, scope estimations, issue triage, platform stability investigations, and assistance
- Contribute to projects as an individual contributor or as part of a larger team
- Develop end-to-end solutions using Python, TypeScript, Azure, FastAPI, NextJS, and related frameworks
- Deploy resources in Azure and AWS cloud environments
- Participate in team and customer meetings and report status
- Implement unit testing, continuous integration, continuous delivery, source code repositories, and build systems for web and web services
- Own solutions and discuss them with peers and customers
- Analyze problems quantitatively, scope technical requirements, and prioritize program deliverables
- Help financial institutions adopt AI and turn emerging technology into measurable business outcomes
Requirements
What you’ll need- Over 4 years of experience developing applications and services in TypeScript, Python, or a similar language
- Experience building and deploying SaaS applications at scale
- Experience with data storage engines such as PostgreSQL, SQL Server, Redis, and AWS Dynamo
- Experience designing REST-based APIs for complex systems
- Expertise securing applications from data at rest through the public interface
- Experience delivering solutions on Azure or AWS, including services such as Azure SQL DB, App Service, and Foundry
- Familiarity with AI frameworks such as LangChain and Semantic Kernel, plus RAG, agentic patterns, and workflow orchestration (preferred)
- Formal training in engineering disciplines (preferred)
Benefits
Comp & perks- Get Azure / Anthropic certifications
- Equal Opportunity Employer