Senior Full-Stack Software Engineer

Posted 20 days agoViewed

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💎 Seniority level: Senior, 6+ years

📍 Location: United States

🔍 Industry: Healthcare

🏢 Company: Nava👥 51-100💰 $1,005,250 7 months agoHealth Care Health Diagnostics Sex Tech

🗣️ Languages: English

⏳ Experience: 6+ years

🪄 Skills: AWSBackend DevelopmentGraphQLLeadershipNode.jsPostgreSQLAgileArtificial IntelligenceCloud ComputingExpress.jsFrontend DevelopmentFull Stack DevelopmentMachine LearningReact.jsTypeScriptCross-functional Team LeadershipAlgorithmsAPI testingData StructuresREST APINest.jsNext.jsCommunication SkillsCI/CDMentoringDevOpsSoftware Engineering

Requirements:

6+ years of software engineering experience.
Experience working in a fast-paced startup environment, with strong proven execution skills to deliver end-to-end functionality with data-driven feedback loops.
Highly proficient in developing modern full-stack web applications on client- and server- side.
Skilled in using AI coding tools to enhance software development and productivity, and proven track record as a change agent in development teams with deploying and using AI.
Experience using AI models from OpenAI, Anthropic Gemini, LLMs, etc., to build AI-powered solutions.
Working knowledge of cloud infrastructure and deployment.
Proven ability to lead and work well with cross-functional teams on complex projects.
Excellent communication skills with technical and non-technical stakeholders in handling complex decisions and changes.

Responsibilities:

Build web application / product features where you will apply programming principles and algorithms to design and implement scalable and robust systems with a focus on simplicity and efficiency.
Collaborate cross-functionally with Product, User Experience, Business Operations and Data Science to weigh trade-offs of near and long term solutions.
Support engineering through leadership, mentorship and leading by example – setting high standards for personal and team’s code quality, test coverage and performance.
Drive innovation through the use of AI tools and platforms for developing software and implementing solutions.

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