Distinguished Software Engineer - IFX
AI summary of the role
Capital One seeks a Distinguished Engineer to architect and scale the foundational compute infrastructure for its cloud-based enterprise AI+ML platform.
What you’ll do
- Architect and build control and data plane implementations for a highly available, multi-tenant, large scale and secure machine learning platform
- Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training to large-scale data processing
- Engineer systemic improvements for operational excellence including automating KTLO workflows
- Direct technical execution of a diverse project portfolio collaborating with developers on distributed microservices and foundation models
What you’ll bring
- Bachelor’s Degree
- At least 7 years of experience in software engineering
- At least 7 years of experience designing distributed systems, backend architecture, and API platforms
- At least 5 years of experience with public cloud technologies
Technologies
Golang · Python · Spark · Dask · Ray · Flink · Kubernetes · AWS Lambda · EKS · EC2 UltraClusters · Graviton
Source and classification
Internal deployment & tooling · Evidence for this classification:
orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container
More from the job description
Distinguished Software Engineer - IFX As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge [... source excerpt omitted ...] are seeking a Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python p [... source excerpt omitted ...] abled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and in
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