Senior Software Engineer joining Brinqa’s Data Team to build high - scale data systems. Collaborating to design and deliver scalable data solutions for enterprise customers.
About the role
- Principal Software Engineer leading AI and data initiatives at Dropbox. Shaping technical vision and building scalable systems from conception to production.
Responsibilities
- Define, drive, and communicate the technical vision for intelligence, AI, and data initiatives, ensuring alignment with CIT strategy, EPD goals, and broader organizational objectives.
- Take a holistic view of CIT systems and architecture to ensure they are scalable, reliable, secure, and maintainable over multiple years.
- Lead the design, development, and deployment of high performance AI systems, data pipelines, and intelligent services from conception through production.
- Make strategic architectural decisions to address complex AI, data, and platform challenges, balancing short term delivery with long term resilience and scalability
- Identify opportunities to simplify systems, reduce operational and security risk, and improve developer productivity.
- Contribute directly to prototyping, proof of concepts, and implementation of technical components when needed to validate strategy, de risk decisions, or accelerate progress.
- Architect, evolve, and scale AI, automation, and intelligence platforms that enable advanced analytics, personalization, search, and intelligent decision making.
- Drive innovation in intelligence models, distributed training, optimization techniques, and data engineering to maximize performance, quality, and business impact.
- Enhance search and discovery capabilities using intelligent algorithms, natural language processing, and modern data systems.
- Evaluate, select, and integrate emerging technologies in AI, ML, and automation to maintain a competitive and forward looking technical posture.
- Partner across engineering, product, design, infrastructure, and other stakeholders to ensure intelligence initiatives directly support strategic objectives.
- Translate technical capabilities and advancements into clear business outcomes that improve productivity, efficiency, and growth.
- Resolve conflicting requirements and priorities with sound technical judgment that favors long term organizational outcomes over local optimization.
- Advocate for intelligence driven solutions across the organization and influence company wide technical priorities.
- Act as a trusted technical advisor to senior engineering leadership, with IC6 scope extending to org wide and EPD level strategy.
- Provide mentorship and technical guidance to engineers and data scientists from mid level through senior, fostering continuous learning and technical excellence.
- Serve as a technical multiplier by raising the effectiveness of surrounding teams through design reviews, code reviews, architectural guidance, and pragmatic execution.
- Facilitate knowledge sharing across teams through documentation, design writeups, technical discussions, and mentorship programs.
- Act as a voice for engineers by synthesizing feedback, surfacing gaps and risks, and communicating them clearly to leadership.
- Contribute to multi year technical vision and roadmap planning, anticipating future scale, complexity, and organizational needs.
- Identify architectural, operational, and security risks early and mobilize proactive mitigation plans across org boundaries.
- Partner closely with managers, product leaders, and senior engineers to ensure ambitious initiatives remain feasible, sustainable, and well aligned.
- For IC6 scope, influence technical direction beyond CIT and partner directly with senior EPD leadership on company wide strategy.
- Lead and support critical, high impact initiatives by defining technical direction, clarifying requirements, gathering estimates, and ensuring delivery against milestones.
- Drive execution on complex projects with significant ambiguity or high cost of failure.
- Improve engineering effectiveness by championing best practices such as CI, automated testing, reliability reviews, and clear ownership models.
- Promote a bias toward action, thoughtful experimentation, and continuous learning.
- Model excellence in engineering craft, collaboration, accountability, and inclusive behavior.
- Lead by example in living Dropbox values, including integrity, ownership, simplicity, and inclusivity.
- Support hiring by interviewing, calibrating candidates against a high technical bar, and representing Dropbox authentically to candidates and partners.
Requirements
- 12+ years of professional experience in software engineering, with depth in areas such as intelligent workflows, enterprise scale AI adoption, automation, or data engineering.
- Proven track record of leading large scale, multi team technical initiatives from conception to production, including solving ambiguous problems, setting technical vision, and driving impact without direct authority.
- Strong architectural judgment and systems thinking, with the ability to balance short term delivery with long term sustainability, scalability, and operational excellence.
- Demonstrated ability to influence across teams and disciplines through technical leadership, collaboration, and sound decision making rather than formal authority.
- Experience mentoring engineers and raising the technical bar of an organization through design reviews, code reviews, and technical guidance.
- Exceptional written and verbal communication skills, with the ability to clearly explain complex technical concepts, translate technical strategy to diverse audiences, and influence stakeholders at all levels.
Benefits
- Competitive salary
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
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