Senior Software Engineer for Datasite developing complex systems and mentoring teams to ensure technical excellence. Leading design and collaboration with cross-functional stakeholders for impactful features.
Responsibilities
As a Senior Software Engineer, you are a trusted technical contributor who helps lead the design and delivery of complex features and systems within a domain.
You promote engineering excellence and partner closely with cross-functional stakeholders to ensure our technical decisions align with product and business goals.
Technical decision-making is led with attention to both immediate customer impact and long-term business needs.
Roadmaps are developed in collaboration with product, the team, and leadership to guide future direction.
Architectural improvements are defined to reduce operational overhead and strengthen scalability and reliability.
Cross-team improvements are identified and advocated for, optimizing workflows and enhancing tools with broad organizational impact.
Communication is clear and engaging, introducing challenging ideas thoughtfully and translating complex concepts into accessible insights.
Systems are simplified where possible, reducing technical debt and improving long-term maintainability and scalability.
Mentorship is offered through coaching, feedback, and participation in technical hiring, ensuring culture and mission are well represented.
Continuous feedback is sought and shared, supporting both personal development and the growth of the team.
End-to-end system design and execution for high-impact features or systems is owned with an emphasis on quality and reliability.
Requirements
Backend engineer with a preference toward Java/Kotlin
Deep expertise in designing, building, and maintaining large-scale systems, focusing on clean, scalable, and performant code.
Proven SME in modern programming paradigms and languages, with rapid adaptability to new ones.
Strong mastery of testing practices like unit, integration, end-to-end, and high code quality standards.
Expertise in current dev tools: version control, CI/CD, IaC, containers, cloud architectures.
Eager to adopt best-fit solutions.
Passion for tracking industry trends, evaluating new tech, and driving sustainable adoptions aligned with business goals.
Openness to incorporating AI into the dev workflow
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