15Five
Senior Software Engineer
Vaga remota de Software Engineering com fit claro de localização do candidato.
Publicada7 de jun. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Senior Software Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Role Details
- Lead and contribute to initiatives to build AI experience in the Flow of Work, which includes but is not limited to Slack, MS Teams, Calendar, web, and email.
- Build and support 3rd party integrations with platforms like Slack, MS Teams, Google Calendar, Outlook, Zoom, Google Meet etc.
- Follow and implement software engineering best practices, and set the foundations for the Agentic Ecosystem and experience in the Flow of Work.
- Work across a diverse tech stack and gain robust experience with Python, React, JavaScript, Django, FastAPI, DBT, Airflow, Snowflake, Relational and NoSQL Databases, etc.
- Work closely with Product/Software Engineers to design and build new innovative functionality helping managers and organizations; maintain and improve existing functionality to solve customer problems and bring customer delight and satisfaction.
- Leverage AI-assisted tools across the full development lifecycle - from design and code generation to testing, review, and deployment - while ensuring your code is correct, secure, and performant.
- Review code and architecture designs developed by other developers, and contribute to existing documentation along with creating new ones.
- Bring your Product mindset — contribute to the team's strategic planning, helping define the vision, goals, and roadmap.
- 5+ years of experience of software development, including significant experience with algorithms, design patterns and architectural patterns.
- Strong proficiency in programming languages like Python, Java, C++, Go, Scala; as well as SQL, Relational and No-SQL database technologies.
- Experience with cloud-native development environments.
- Familiarity with Python frameworks, especially Django is nice to have.
- Prior experience or familiarity with AI model building and running, or knowledge graphs is a plus.
- Experience integrating AI tooling into day-to-day engineering workflows, including areas like code review, testing, documentation, or CI/CD.
- Experience working remotely and effectively communicating and collaborating with different engineering, product, design, and customer facing teams.
- Experience with agentic systems or autonomous agents.
- Exposure to DBT, Airflow, Snowflake, Django, or similar technologies.
- Background in HR tech, people systems, or performance management.
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