Datasite is where deals are made. Driving transactions in 180 countries. Delivering at the highest level, across sell-side, buy-side, and beyond.
We provide a complete platform for M&A and other…
Datasite is where deals are made. Driving transactions in 180 countries. Delivering at the highest level, across sell-side, buy-side, and beyond.
We provide a complete platform for M&A and other…
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
Bonus for Marketplace or Apps development
Bonus for exposure to Kong or similar
Bonus for Full Stack capabilities
What the job involves
Benefits
Culture and benefits built around work-life balance
Extensive resources to support physical and mental health
Employee assistance program
Generous retirement plans
Incentives for referring new colleagues
Learning, training and mentoring programs
Cross-functional projects
Stretch assignments to help you progress
Receive feedback and earn bonuses from peers & managers
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As a Senior Software Engineer (Back End), you are a trusted technical contributor who helps lead the design and delivery of complex features and systems within a domain
Deep expertise allows you to set direction for the team, mentor others through code reviews, pairing, and project leadership, and influence both team processes and technical outcomes
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
Collaboration is fostered through active feedback, shared learning, and a commitment to technical excellence
Communication is clear and engaging, introducing challenging ideas thoughtfully and translating complex concepts into accessible insights
Trade-offs between business priorities, technical constraints, and customer needs are carefully balanced to make data-driven decisions
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
Monitoring, logging, and failure-domain strategies are built in to ensure resilience and performance
Project progress is tracked, risks are assessed, and plans are adapted while maintaining a long-term perspective
