Job Description Job Description About Us At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster. We're building a new kind of software stack: a hardware-agnostic platform that makes every system - from a laptop to a supercomputer - feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact - designed for the era beyond Moore's Law. We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us. About the Role We're looking for a Graph Optimization Compiler Engineer to own the middle tier of our AI compiler stack - the layer where high-level model graphs are transformed, simplified, and made ready for efficient code generation. You'll design and implement the optimization passes that make the difference between a model that runs and a model that flies. This role sits between our compiler front end and code generation backend. You'll work on graph-level transformations - fusion, layout optimization, dead code elimination, constant folding, and more - with a direct line of sight to the performance outcomes your work produces. If you think in data flow graphs and optimization passes, and you want that thinking to power the next generation of AI infrastructure, we'd love to talk. What You'll Do Design, develop, and maintain the graph optimization layer of our heterogeneous AI compiler Implement and extend graph-level transformation passes including operator fusion, layout propagation, dead code elimination, constant folding, and algebraic simplification Define and evolve our intermediate representation (IR) to support new optimization opportunities as ML model architectures advance Analyze performance data to identify optimization gaps and drive measurable improvements in throughput and latency Collaborate with front end and code generation teams to ensure clean IR interfaces and well-structured optimization pipelines Propose and prototype new optimization strategies in response to advances in model design and hardware capabilities Contribute to testing and validation infrastructure to ensure optimization correctness across model types and hardware targets Requirements Essential Skills and Experience BS degree in Computer Science, Computer Engineering, or equivalent practical experience 4+ years of experience working with compilers, with a focus on intermediate representation design or optimization passes Deep knowledge of graph-level compiler optimization techniques - fusion, tiling, layout transformations, and related methods 4+ years of experience with C/C++ Strong written and verbal communication skills; ability to write clear and concise technical documentation Preferred Skills and Experience Master's or PhD in Computer Science, Computer Engineering, or equivalent Experience with polyhedral models or affine analysis for loop and tensor optimization Familiarity with hardware memory hierarchies and how layout decisions impact performance on GPUs or accelerators Experience working with MLIR, XLA, or similar graph-level IR frameworks Experience with ML framework internals - PyTorch eager/compile mode, JAX/XLA, or TensorRT Strong understanding of ML model architectures and their computational patterns (attention, convolution, normalization, etc.) Knowledge of quantization, sparsity, or other model-level optimization techniques Contributions to open-source compiler or ML infrastructure projects Why Join Lemurian Labs Own a critical layer of our compiler stack where optimization decisions have direct, measurable impact on model performance Work on the hardest graph-level problems in AI infrastructure - across diverse hardware targets and model architectures Collaborate with a team that treats infrastructure as a canvas and optimization as a craft Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background. Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.
08/05/2026
Full time
Job Description Job Description About Us At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster. We're building a new kind of software stack: a hardware-agnostic platform that makes every system - from a laptop to a supercomputer - feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact - designed for the era beyond Moore's Law. We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us. About the Role We're looking for a Graph Optimization Compiler Engineer to own the middle tier of our AI compiler stack - the layer where high-level model graphs are transformed, simplified, and made ready for efficient code generation. You'll design and implement the optimization passes that make the difference between a model that runs and a model that flies. This role sits between our compiler front end and code generation backend. You'll work on graph-level transformations - fusion, layout optimization, dead code elimination, constant folding, and more - with a direct line of sight to the performance outcomes your work produces. If you think in data flow graphs and optimization passes, and you want that thinking to power the next generation of AI infrastructure, we'd love to talk. What You'll Do Design, develop, and maintain the graph optimization layer of our heterogeneous AI compiler Implement and extend graph-level transformation passes including operator fusion, layout propagation, dead code elimination, constant folding, and algebraic simplification Define and evolve our intermediate representation (IR) to support new optimization opportunities as ML model architectures advance Analyze performance data to identify optimization gaps and drive measurable improvements in throughput and latency Collaborate with front end and code generation teams to ensure clean IR interfaces and well-structured optimization pipelines Propose and prototype new optimization strategies in response to advances in model design and hardware capabilities Contribute to testing and validation infrastructure to ensure optimization correctness across model types and hardware targets Requirements Essential Skills and Experience BS degree in Computer Science, Computer Engineering, or equivalent practical experience 4+ years of experience working with compilers, with a focus on intermediate representation design or optimization passes Deep knowledge of graph-level compiler optimization techniques - fusion, tiling, layout transformations, and related methods 4+ years of experience with C/C++ Strong written and verbal communication skills; ability to write clear and concise technical documentation Preferred Skills and Experience Master's or PhD in Computer Science, Computer Engineering, or equivalent Experience with polyhedral models or affine analysis for loop and tensor optimization Familiarity with hardware memory hierarchies and how layout decisions impact performance on GPUs or accelerators Experience working with MLIR, XLA, or similar graph-level IR frameworks Experience with ML framework internals - PyTorch eager/compile mode, JAX/XLA, or TensorRT Strong understanding of ML model architectures and their computational patterns (attention, convolution, normalization, etc.) Knowledge of quantization, sparsity, or other model-level optimization techniques Contributions to open-source compiler or ML infrastructure projects Why Join Lemurian Labs Own a critical layer of our compiler stack where optimization decisions have direct, measurable impact on model performance Work on the hardest graph-level problems in AI infrastructure - across diverse hardware targets and model architectures Collaborate with a team that treats infrastructure as a canvas and optimization as a craft Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background. Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.
Job Description Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference . Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are using AI to build AI chips. AI agents are starting to genuinely work for verification, debug, and EDA flows - we want someone to bring that inside Etched and push past it. As an Applied AI Engineer, you will embed with our hardware teams - RTL design, verification, DFT, physical design, and silicon validation - and build the agents and tooling that multiply their output. You'll wire LLM agents into simulators, regressions, waveform and log analysis, EDA flows, and bring-up workflows, and own the evals that separate demos from tools engineers actually rely on. This is an internal, force-multiplier role: your success is measured by how much faster the chip team moves, not by lines of code you ship yourself. It is not a customer-facing role and not about inference serving - it's AI applied to how we build the chip itself. You do not need to be a chip designer or a traditional software engineer - you need to be an exceptional problem solver who has shipped real agentic systems, works comfortably across stacks and domains, and uses AI to ramp on hard new problems fast. Key responsibilities Build, deploy, and maintain LLM-agent workflows that accelerate chip development: debug triage, testbench and coverage work, log/waveform analysis, EDA script generation, and engineering knowledge retrieval Embed with hardware teams to find the highest-leverage pain points, then turn them into automated workflows with measurable adoption Design rigorous evals for agent performance on real silicon-engineering tasks - not proxy metrics - and use them to drive iteration Integrate agents with our internal infrastructure: simulation and emulation flows, CI/regression systems, lab equipment, and issue tracking, via tool-calling and MCP Champion adoption: documentation, training, and fast feedback loops with the engineers who use what you build You may be a good fit if you have A track record of solving hard problems across stacks and domains - you enjoy being dropped into unfamiliar territory and figuring it out Comfort with Python and code: you can read it, modify it, debug it, and direct AI to write it well. We do not care whether you write code from scratch - we care whether you ship things that work Fluency using AI to learn and ramp on new problems - agentic coding tools, deep research, and frontier models are how you work, not an add-on Hands-on experience building and shipping LLM-based agents or AI tooling that real users depend on (beyond calling an API - context engineering, tool integration, orchestration, failure analysis) An eval-driven mindset: you measure whether AI systems actually work before scaling them High agency and comfort with ambiguity - you can find the problem, not just solve the stated one Interest in chip development and the ability to ramp quickly on a deeply technical domain. Hardware experience is a real plus, but not required - you will be willing and able to learn quickly Strong candidates may also have experience with Chip development in any form (the strongest plus): RTL/SystemVerilog, functional verification (UVM), DFT, physical design/STA, FPGA, emulation, or silicon bring-up and validation EDA tool flows and Tcl scripting; reading waveforms, logs, and regressions Fine-tuning or post-training (SFT, RLHF/DPO), RAG over proprietary technical data, or multi-agent orchestration Deep software engineering: C++ or Rust, developer-facing internal platforms, CI/CD at scale, or infrastructure (Docker, Slurm, Ray) Representative projects In your first 30 days, pick one hardware team's worst recurring pain, ship an agent for it, and prove adoption with usage data Build an agent that triages overnight regression failures, clusters them by root cause, and drafts bug reports with waveform and log evidence attached Wire Claude Code-style agents into our EDA and validation flows via MCP so engineers can drive simulations, queries, and lab equipment from natural language Create a retrieval system over our specs, design docs, and past debug history that cuts ramp time for new engineers Design an eval suite that measures agent performance on real verification and debug tasks, and use it to decide which workflows to automate next Prototype AlphaEvolve-style optimization loops that propose and automatically verify improvements to test programs or flow scripts Benefits Full medical, dental, and vision packages, with generous premium coverage Housing subsidy of $2,000/month for those living within walking distance of the office Daily lunch and dinner in our office Relocation support for those moving to San Jose (Santana Row) Unlimited compute budget subject to ROI justification How we're different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed. Compensation Range: $150K - $275K
08/05/2026
Full time
Job Description Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference . Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are using AI to build AI chips. AI agents are starting to genuinely work for verification, debug, and EDA flows - we want someone to bring that inside Etched and push past it. As an Applied AI Engineer, you will embed with our hardware teams - RTL design, verification, DFT, physical design, and silicon validation - and build the agents and tooling that multiply their output. You'll wire LLM agents into simulators, regressions, waveform and log analysis, EDA flows, and bring-up workflows, and own the evals that separate demos from tools engineers actually rely on. This is an internal, force-multiplier role: your success is measured by how much faster the chip team moves, not by lines of code you ship yourself. It is not a customer-facing role and not about inference serving - it's AI applied to how we build the chip itself. You do not need to be a chip designer or a traditional software engineer - you need to be an exceptional problem solver who has shipped real agentic systems, works comfortably across stacks and domains, and uses AI to ramp on hard new problems fast. Key responsibilities Build, deploy, and maintain LLM-agent workflows that accelerate chip development: debug triage, testbench and coverage work, log/waveform analysis, EDA script generation, and engineering knowledge retrieval Embed with hardware teams to find the highest-leverage pain points, then turn them into automated workflows with measurable adoption Design rigorous evals for agent performance on real silicon-engineering tasks - not proxy metrics - and use them to drive iteration Integrate agents with our internal infrastructure: simulation and emulation flows, CI/regression systems, lab equipment, and issue tracking, via tool-calling and MCP Champion adoption: documentation, training, and fast feedback loops with the engineers who use what you build You may be a good fit if you have A track record of solving hard problems across stacks and domains - you enjoy being dropped into unfamiliar territory and figuring it out Comfort with Python and code: you can read it, modify it, debug it, and direct AI to write it well. We do not care whether you write code from scratch - we care whether you ship things that work Fluency using AI to learn and ramp on new problems - agentic coding tools, deep research, and frontier models are how you work, not an add-on Hands-on experience building and shipping LLM-based agents or AI tooling that real users depend on (beyond calling an API - context engineering, tool integration, orchestration, failure analysis) An eval-driven mindset: you measure whether AI systems actually work before scaling them High agency and comfort with ambiguity - you can find the problem, not just solve the stated one Interest in chip development and the ability to ramp quickly on a deeply technical domain. Hardware experience is a real plus, but not required - you will be willing and able to learn quickly Strong candidates may also have experience with Chip development in any form (the strongest plus): RTL/SystemVerilog, functional verification (UVM), DFT, physical design/STA, FPGA, emulation, or silicon bring-up and validation EDA tool flows and Tcl scripting; reading waveforms, logs, and regressions Fine-tuning or post-training (SFT, RLHF/DPO), RAG over proprietary technical data, or multi-agent orchestration Deep software engineering: C++ or Rust, developer-facing internal platforms, CI/CD at scale, or infrastructure (Docker, Slurm, Ray) Representative projects In your first 30 days, pick one hardware team's worst recurring pain, ship an agent for it, and prove adoption with usage data Build an agent that triages overnight regression failures, clusters them by root cause, and drafts bug reports with waveform and log evidence attached Wire Claude Code-style agents into our EDA and validation flows via MCP so engineers can drive simulations, queries, and lab equipment from natural language Create a retrieval system over our specs, design docs, and past debug history that cuts ramp time for new engineers Design an eval suite that measures agent performance on real verification and debug tasks, and use it to decide which workflows to automate next Prototype AlphaEvolve-style optimization loops that propose and automatically verify improvements to test programs or flow scripts Benefits Full medical, dental, and vision packages, with generous premium coverage Housing subsidy of $2,000/month for those living within walking distance of the office Daily lunch and dinner in our office Relocation support for those moving to San Jose (Santana Row) Unlimited compute budget subject to ROI justification How we're different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed. Compensation Range: $150K - $275K
Job Description Job Description About Us At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster. We're building a new kind of software stack: a hardware-agnostic platform that makes every system - from a laptop to a supercomputer - feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact - designed for the era beyond Moore's Law. We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us. About the Role We're looking for a Compiler Code Generation Engineer to design and build the core code generation capabilities inside our high-performance, portable AI compiler. This is a foundational engineering role where you'll work directly on the subsystems that translate high-level ML computations into optimized machine code across heterogeneous hardware targets. If you love digging into instruction selection, register allocation, and low-level target-specific optimization and you want that work to matter at the scale of the next era of AI infrastructure, this role is for you. What You'll Do Design, develop, maintain, and improve our heterogeneous AI compiler. Design and implement new code generation capabilities based on our novel compiler architecture. Propose improvements and extensions to our compiler architecture in response to advances in ML model design and hardware. Apply the latest techniques in parallelization and partitioning to automate kernel generation and exploit highly optimized execution paths. Use performance data to identify optimization opportunities and drive measurable improvements. Collaborate with our product team to understand the evolving needs of ML engineers and translate those needs into architectural improvements. Requirements Essential Skills and Experience BS degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience. 4+ years of experience working with compilers. Deep knowledge of compiler algorithms and data structures. Experience with and genuine interest in low-level code generation, object file manipulation, and target-specific optimizations. 4+ years of experience with C/C++. Strong written and verbal communication skills; ability to write clear and concise technical documentation. Preferred Skills and Experience Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent. Knowledge of traditional compiler techniques: instruction selection, register allocation, dominance analysis, def-use chains. Familiarity with calling conventions, APIs, linking, and relocations. Working knowledge of LLVM. Experience with loop optimizations, vectorization, unrolling, fusion, and parallelization. Experience with machine learning workloads and their hardware demands. Why Join Lemurian Labs Work on compiler infrastructure that runs AI at scale across every major hardware platform. Tackle deep, unsolved technical problems alongside a team that prizes craft and rigor. Be part of building sustainable AI infrastructure that genuinely moves the needle. Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits. Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background. Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.
08/05/2026
Full time
Job Description Job Description About Us At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster. We're building a new kind of software stack: a hardware-agnostic platform that makes every system - from a laptop to a supercomputer - feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact - designed for the era beyond Moore's Law. We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us. About the Role We're looking for a Compiler Code Generation Engineer to design and build the core code generation capabilities inside our high-performance, portable AI compiler. This is a foundational engineering role where you'll work directly on the subsystems that translate high-level ML computations into optimized machine code across heterogeneous hardware targets. If you love digging into instruction selection, register allocation, and low-level target-specific optimization and you want that work to matter at the scale of the next era of AI infrastructure, this role is for you. What You'll Do Design, develop, maintain, and improve our heterogeneous AI compiler. Design and implement new code generation capabilities based on our novel compiler architecture. Propose improvements and extensions to our compiler architecture in response to advances in ML model design and hardware. Apply the latest techniques in parallelization and partitioning to automate kernel generation and exploit highly optimized execution paths. Use performance data to identify optimization opportunities and drive measurable improvements. Collaborate with our product team to understand the evolving needs of ML engineers and translate those needs into architectural improvements. Requirements Essential Skills and Experience BS degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience. 4+ years of experience working with compilers. Deep knowledge of compiler algorithms and data structures. Experience with and genuine interest in low-level code generation, object file manipulation, and target-specific optimizations. 4+ years of experience with C/C++. Strong written and verbal communication skills; ability to write clear and concise technical documentation. Preferred Skills and Experience Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent. Knowledge of traditional compiler techniques: instruction selection, register allocation, dominance analysis, def-use chains. Familiarity with calling conventions, APIs, linking, and relocations. Working knowledge of LLVM. Experience with loop optimizations, vectorization, unrolling, fusion, and parallelization. Experience with machine learning workloads and their hardware demands. Why Join Lemurian Labs Work on compiler infrastructure that runs AI at scale across every major hardware platform. Tackle deep, unsolved technical problems alongside a team that prizes craft and rigor. Be part of building sustainable AI infrastructure that genuinely moves the needle. Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits. Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background. Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.
Job Description Job Description Job Description Senior Engineer, Internal Tools, Artificial Intelligence (AI) Required, Work From Home The Senior AI Engineer is the engineering backbone of the internal tools team. Building and maintaining the platforms that every team in the company relies on. Your work directly increases organizational efficiency and enables teams to move faster. The Senior AI Engineer will own systems end-to-end, from scoping and architecture through production deployment and iteration, connecting multiple business systems into a seamless, reliable internal ecosystem. This position is 100% Remote. Senior Engineer Responsibilities: Build & Ship: - Design, build, and maintain internal platforms and tools that serve People, Finance, Ops, Sales, and Engineering teams. - Own features, end-to-end requirements, architecture, implementation, testing, deployment, and monitoring. - Write clean, well-tested, production-grade code. You hold yourself to the same bar as customer-facing products. Architecture & Integration: - Build API-first integrations across the internal ecosystem connecting HRIS, CRM, finance platforms, knowledge management, and developer tools into a coherent stack. - Design for reliability, performance, and scale what you build today must hold as the company grows 5-10x. - Eliminate data silos. Build clean data pipelines that maintain a single source of truth across systems. - Own your services in production: monitoring, alerting, incident response, and post-mortems. AI & Automation: - Build AI/LLM-powered features into internal workflows, automating approvals, knowledge retrieval, reporting, content generation, and operational processes. - Move fast from prototype to production. You know the difference between a demo and a system that works at scale. - Stay current on emerging AI capabilities and proactively identify where they unlock step-change improvements in internal productivity. Collaboration & Influence: - Work directly with business stakeholders to understand pain points and translate them into technical solutions. You don't wait for a spec you help shape it. - Pair with and mentor junior engineers. Raise the technical bar through code reviews, design reviews, and leading by example. - Influence technical direction: propose architectural improvements, challenge assumptions, and drive best practices across the team. Qualifications Senior Engineer Qualifications: - 5+ years of professional software engineering experience, with meaningful time spent building internal tools, platforms, or business systems. - Artificial Intelligence (AI) experience required. - Strong full-stack or backend engineering skills. Proficient in at least one of: Python, Go, TypeScript/Node.js, or Java. - Solid understanding of Cloud Infrastructure (GCP/AWS/Azure), Containerization (Docker/Kubernetes), CI/CD Pipelines, and modern DevOps practices. - Hands-on experience building and maintaining API integrations between third-party SaaS platforms (e.g., Workday, Salesforce, Slack, NetSuite). - Strong data fundamentals: relational databases, data modelling, ETL/ELT pipelines, and working knowledge of SQL. - Comfort with ambiguity. You can take a vague business problem, break it down, and deliver a working solution without heavy handholding. - Clear communicator who can explain technical tradeoffs to non-technical stakeholders. - Experience with workflow orchestration tools (Temporal, Airflow, Prefect) or integration platforms (Workato, Tray.io, MuleSoft) is a plus. - Frontend experience with React, Next.js, or equivalent modern frameworks is a plus. - Familiarity with HRIS, ERP, or people systems data models and processes is a plus. - Experience at a high-growth or AI-native company is a plus. - Contributions to developer experience tooling, CLIs, or internal SDKs is a plus. - Experience building or integrating AI/LLM-powered features not just experimenting, but shipping to real users is a plus. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Looking to hire a Senior Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Senior Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at .
08/05/2026
Full time
Job Description Job Description Job Description Senior Engineer, Internal Tools, Artificial Intelligence (AI) Required, Work From Home The Senior AI Engineer is the engineering backbone of the internal tools team. Building and maintaining the platforms that every team in the company relies on. Your work directly increases organizational efficiency and enables teams to move faster. The Senior AI Engineer will own systems end-to-end, from scoping and architecture through production deployment and iteration, connecting multiple business systems into a seamless, reliable internal ecosystem. This position is 100% Remote. Senior Engineer Responsibilities: Build & Ship: - Design, build, and maintain internal platforms and tools that serve People, Finance, Ops, Sales, and Engineering teams. - Own features, end-to-end requirements, architecture, implementation, testing, deployment, and monitoring. - Write clean, well-tested, production-grade code. You hold yourself to the same bar as customer-facing products. Architecture & Integration: - Build API-first integrations across the internal ecosystem connecting HRIS, CRM, finance platforms, knowledge management, and developer tools into a coherent stack. - Design for reliability, performance, and scale what you build today must hold as the company grows 5-10x. - Eliminate data silos. Build clean data pipelines that maintain a single source of truth across systems. - Own your services in production: monitoring, alerting, incident response, and post-mortems. AI & Automation: - Build AI/LLM-powered features into internal workflows, automating approvals, knowledge retrieval, reporting, content generation, and operational processes. - Move fast from prototype to production. You know the difference between a demo and a system that works at scale. - Stay current on emerging AI capabilities and proactively identify where they unlock step-change improvements in internal productivity. Collaboration & Influence: - Work directly with business stakeholders to understand pain points and translate them into technical solutions. You don't wait for a spec you help shape it. - Pair with and mentor junior engineers. Raise the technical bar through code reviews, design reviews, and leading by example. - Influence technical direction: propose architectural improvements, challenge assumptions, and drive best practices across the team. Qualifications Senior Engineer Qualifications: - 5+ years of professional software engineering experience, with meaningful time spent building internal tools, platforms, or business systems. - Artificial Intelligence (AI) experience required. - Strong full-stack or backend engineering skills. Proficient in at least one of: Python, Go, TypeScript/Node.js, or Java. - Solid understanding of Cloud Infrastructure (GCP/AWS/Azure), Containerization (Docker/Kubernetes), CI/CD Pipelines, and modern DevOps practices. - Hands-on experience building and maintaining API integrations between third-party SaaS platforms (e.g., Workday, Salesforce, Slack, NetSuite). - Strong data fundamentals: relational databases, data modelling, ETL/ELT pipelines, and working knowledge of SQL. - Comfort with ambiguity. You can take a vague business problem, break it down, and deliver a working solution without heavy handholding. - Clear communicator who can explain technical tradeoffs to non-technical stakeholders. - Experience with workflow orchestration tools (Temporal, Airflow, Prefect) or integration platforms (Workato, Tray.io, MuleSoft) is a plus. - Frontend experience with React, Next.js, or equivalent modern frameworks is a plus. - Familiarity with HRIS, ERP, or people systems data models and processes is a plus. - Experience at a high-growth or AI-native company is a plus. - Contributions to developer experience tooling, CLIs, or internal SDKs is a plus. - Experience building or integrating AI/LLM-powered features not just experimenting, but shipping to real users is a plus. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Looking to hire a Senior Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Senior Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at .
Job Description Job Description We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI. Role Overview: As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems. Responsibilities: Collaborate with AI researchers and developers to understand project requirements and objectives. Design and create a diverse range of prompts tailored to specific AI tasks and applications. Develop creative and innovative ways to generate effective prompts that improve model performance. Conduct extensive research to identify and curate relevant data sources for prompt development. Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes. Optimize and fine-tune prompts based on continuous testing and feedback from AI models. Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy. Stay up-to-date with the latest advancements in natural language processing and AI technologies. Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred. Proven experience in working with natural language processing and AI technologies. Strong understanding of AI models, algorithms, and neural networks. Experience in prompt engineering, creative writing, or content creation is a plus. Proficiency in programming languages such as Python or JavaScript. Solid knowledge of data collection, preprocessing, and annotation for prompt development. Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. Strong analytical and problem-solving skills with a keen eye for detail. Excellent communication and collaboration skills to work effectively in a team environment. Passion for innovation and a keen interest in staying updated with the latest AI trends. Join us in shaping the future of AI as a Prompt Engineer and be part of a dynamic team that is pushing the boundaries of what AI can achieve.
08/05/2026
Full time
Job Description Job Description We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI. Role Overview: As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems. Responsibilities: Collaborate with AI researchers and developers to understand project requirements and objectives. Design and create a diverse range of prompts tailored to specific AI tasks and applications. Develop creative and innovative ways to generate effective prompts that improve model performance. Conduct extensive research to identify and curate relevant data sources for prompt development. Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes. Optimize and fine-tune prompts based on continuous testing and feedback from AI models. Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy. Stay up-to-date with the latest advancements in natural language processing and AI technologies. Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred. Proven experience in working with natural language processing and AI technologies. Strong understanding of AI models, algorithms, and neural networks. Experience in prompt engineering, creative writing, or content creation is a plus. Proficiency in programming languages such as Python or JavaScript. Solid knowledge of data collection, preprocessing, and annotation for prompt development. Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. Strong analytical and problem-solving skills with a keen eye for detail. Excellent communication and collaboration skills to work effectively in a team environment. Passion for innovation and a keen interest in staying updated with the latest AI trends. Join us in shaping the future of AI as a Prompt Engineer and be part of a dynamic team that is pushing the boundaries of what AI can achieve.
Job Description Job Description We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI. Role Overview: As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems. Responsibilities: Collaborate with AI researchers and developers to understand project requirements and objectives. Design and create a diverse range of prompts tailored to specific AI tasks and applications. Develop creative and innovative ways to generate effective prompts that improve model performance. Conduct extensive research to identify and curate relevant data sources for prompt development. Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes. Optimize and fine-tune prompts based on continuous testing and feedback from AI models. Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy. Stay up-to-date with the latest advancements in natural language processing and AI technologies. Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred. Proven experience in working with natural language processing and AI technologies. Strong understanding of AI models, algorithms, and neural networks. Experience in prompt engineering, creative writing, or content creation is a plus. Proficiency in programming languages such as Python or JavaScript. Solid knowledge of data collection, preprocessing, and annotation for prompt development. Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. Strong analytical and problem-solving skills with a keen eye for detail. Excellent communication and collaboration skills to work effectively in a team environment. Passion for innovation and a keen interest in staying updated with the latest AI trends. Join us in shaping the future of AI as a Prompt Engineer and be part of a dynamic team that is pushing the boundaries of what AI can achieve.
08/05/2026
Full time
Job Description Job Description We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI. Role Overview: As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems. Responsibilities: Collaborate with AI researchers and developers to understand project requirements and objectives. Design and create a diverse range of prompts tailored to specific AI tasks and applications. Develop creative and innovative ways to generate effective prompts that improve model performance. Conduct extensive research to identify and curate relevant data sources for prompt development. Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes. Optimize and fine-tune prompts based on continuous testing and feedback from AI models. Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy. Stay up-to-date with the latest advancements in natural language processing and AI technologies. Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred. Proven experience in working with natural language processing and AI technologies. Strong understanding of AI models, algorithms, and neural networks. Experience in prompt engineering, creative writing, or content creation is a plus. Proficiency in programming languages such as Python or JavaScript. Solid knowledge of data collection, preprocessing, and annotation for prompt development. Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. Strong analytical and problem-solving skills with a keen eye for detail. Excellent communication and collaboration skills to work effectively in a team environment. Passion for innovation and a keen interest in staying updated with the latest AI trends. Join us in shaping the future of AI as a Prompt Engineer and be part of a dynamic team that is pushing the boundaries of what AI can achieve.
Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior 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 (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled 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 Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/05/2026
Full time
Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior 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 (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled 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 Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description Job Description Why Flux Flux is taking the hard out of hardware. To do this, we're building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language prompt. This democratizes a process that has historically required years of specialized expertise. We're going after a $15B+ electronic design automation market, backed by 8VC, Bain Capital Ventures, Liquid 2 Ventures, Outsiders Fund, Figma board member John Lilly, and GitHub founder Tom Preston-Werner. In February 2026, we closed a total of $37M in funding to accelerate that mission. What happens when we unlock the ability for anyone to make hardware? We fundamentally reshape the world. That's our mission, and we're just getting started. The Role This is a rare opportunity for a technical operator who wants to own growth end-to-end. You'll work closely with product, design, and marketing, but your focus will be on building and shipping experiments that accelerate acquisition, activation, and retention. Think: building new onboarding flows, instrumenting funnels, hacking together scrappy tools, or running experiments that generate meaningful lift in weeks, not months. What You'll Do Build & ship growth experiments: Prototype and launch tools, landing pages, onboarding flows, and conversion experiments. Diagnose user friction: Use data, user research, and intuition to identify where technical users drop off and design ways to keep them engaged. Optimize onboarding & activation: Rework first-touch experiences so users get to "aha" moments faster - without relying on manual human support. Collaborate cross-functionally: Partner with marketing on campaigns, with product on flows, and with engineering on integrations or growth features. Quantify impact: Set up instrumentation, track experiment performance, and prioritize work based on data + potential impact. Stay scrappy: Use whatever tool, framework, or hack gets the job done fastest - from writing code to automating workflows to tweaking website architecture. What You'll Bring Strong technical chops: comfortable coding, prototyping, and integrating tools (front-end or full-stack background a plus). Proven record of delivering growth experiments with measurable results. Empathy for technical users (engineers, designers, or similar). Ability to deeply understand their workflows and motivations. Quantitative mindset: love for data, funnel metrics, and experimentation frameworks. Entrepreneurial persistence: bias toward action, ability to hustle, iterate, and figure things out quickly. Clear communicator who can explain both the "what" and the "why" behind your work. Preferred Qualifications Experience at a startup scaling from early revenue product-market fit growth stage. Exposure to developer tools, SaaS, or products with technical users. Comfort with SEO/website optimization, analytics tools, and marketing automation. Portfolio of past growth hacks or projects that show your range and creativity. Profile Impact-oriented: You don't feel done until real people are getting real value from what you built. Ambiguity-native: You thrive in the undefined. Our work is full of half-mapped terrain, soft constraints, and ideas that shift under your feet. That energizes you. You constantly update your intuitions as you go, and are excited to discover new and better ways to attack challenges we're still finding words to describe. Collaborative: You share your thoughts early and often, and welcome debate and creative collaboration. Flux is a deeply collaborative company, and we believe that the best ideas can only win if they're said out loud. Convention-averse: Flux is an AI-first company, building AI tooling, using AI tooling. We constantly experiment with new tools, techniques, and processes. You feel an urgency to reimagine what your work looks like in this rapidly changing world, and you value critical thinking far above established conventions. Ownership mentality: You are a self-starter, bias toward action, and care deeply about the team and community who lean on you and your work. Thanks for reading! Prior experience with HW or Electronics is not required - except for our Hardware internships! If the roles above don't fit you, we'd still love to have you in our network for upcoming opportunities. PS. We're always looking to meet Engineers who are interested in writing news, technical articles, or building tutorials. To get in touch, apply here or reach out to and tell us a little about yourself! Flux is an equal opportunity employer. We are committed to providing equal employment opportunities to all qualified individuals and do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. All employment decisions are based on qualifications, merit, and business need. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation Range: $183K - $248K
08/05/2026
Full time
Job Description Job Description Why Flux Flux is taking the hard out of hardware. To do this, we're building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language prompt. This democratizes a process that has historically required years of specialized expertise. We're going after a $15B+ electronic design automation market, backed by 8VC, Bain Capital Ventures, Liquid 2 Ventures, Outsiders Fund, Figma board member John Lilly, and GitHub founder Tom Preston-Werner. In February 2026, we closed a total of $37M in funding to accelerate that mission. What happens when we unlock the ability for anyone to make hardware? We fundamentally reshape the world. That's our mission, and we're just getting started. The Role This is a rare opportunity for a technical operator who wants to own growth end-to-end. You'll work closely with product, design, and marketing, but your focus will be on building and shipping experiments that accelerate acquisition, activation, and retention. Think: building new onboarding flows, instrumenting funnels, hacking together scrappy tools, or running experiments that generate meaningful lift in weeks, not months. What You'll Do Build & ship growth experiments: Prototype and launch tools, landing pages, onboarding flows, and conversion experiments. Diagnose user friction: Use data, user research, and intuition to identify where technical users drop off and design ways to keep them engaged. Optimize onboarding & activation: Rework first-touch experiences so users get to "aha" moments faster - without relying on manual human support. Collaborate cross-functionally: Partner with marketing on campaigns, with product on flows, and with engineering on integrations or growth features. Quantify impact: Set up instrumentation, track experiment performance, and prioritize work based on data + potential impact. Stay scrappy: Use whatever tool, framework, or hack gets the job done fastest - from writing code to automating workflows to tweaking website architecture. What You'll Bring Strong technical chops: comfortable coding, prototyping, and integrating tools (front-end or full-stack background a plus). Proven record of delivering growth experiments with measurable results. Empathy for technical users (engineers, designers, or similar). Ability to deeply understand their workflows and motivations. Quantitative mindset: love for data, funnel metrics, and experimentation frameworks. Entrepreneurial persistence: bias toward action, ability to hustle, iterate, and figure things out quickly. Clear communicator who can explain both the "what" and the "why" behind your work. Preferred Qualifications Experience at a startup scaling from early revenue product-market fit growth stage. Exposure to developer tools, SaaS, or products with technical users. Comfort with SEO/website optimization, analytics tools, and marketing automation. Portfolio of past growth hacks or projects that show your range and creativity. Profile Impact-oriented: You don't feel done until real people are getting real value from what you built. Ambiguity-native: You thrive in the undefined. Our work is full of half-mapped terrain, soft constraints, and ideas that shift under your feet. That energizes you. You constantly update your intuitions as you go, and are excited to discover new and better ways to attack challenges we're still finding words to describe. Collaborative: You share your thoughts early and often, and welcome debate and creative collaboration. Flux is a deeply collaborative company, and we believe that the best ideas can only win if they're said out loud. Convention-averse: Flux is an AI-first company, building AI tooling, using AI tooling. We constantly experiment with new tools, techniques, and processes. You feel an urgency to reimagine what your work looks like in this rapidly changing world, and you value critical thinking far above established conventions. Ownership mentality: You are a self-starter, bias toward action, and care deeply about the team and community who lean on you and your work. Thanks for reading! Prior experience with HW or Electronics is not required - except for our Hardware internships! If the roles above don't fit you, we'd still love to have you in our network for upcoming opportunities. PS. We're always looking to meet Engineers who are interested in writing news, technical articles, or building tutorials. To get in touch, apply here or reach out to and tell us a little about yourself! Flux is an equal opportunity employer. We are committed to providing equal employment opportunities to all qualified individuals and do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. All employment decisions are based on qualifications, merit, and business need. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation Range: $183K - $248K
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details
08/05/2026
Full time
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details
08/05/2026
Full time
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details
Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details
08/05/2026
Full time
Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details
Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior 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 (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled 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 Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/05/2026
Full time
Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior 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 (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled 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 Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior 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 (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled 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 Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/05/2026
Full time
Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior 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 (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled 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 Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description Job Description Stuut is transforming accounts receivable for B2B companies-making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We're hiring a Lead Site Reliability Engineer to drive the strategy, architecture, and execution of reliability, scalability, and operational excellence across our platform. You'll build and scale the systems that keep Stuut highly available, performant, and resilient as we grow customers, traffic, and complexity. From defining SLOs and reliability standards to hardening infrastructure, improving observability, and guiding teams through incident response and postmortems, you'll own the engineering rigor that allows us to ship quickly without sacrificing stability . You'll turn strong reliability engineering into real customer trust - creating the guardrails that let product and engineering move fast with confidence. This is a hands-on technical leadership role for an engineer who excels at designing reliable distributed systems, influencing engineering practices, and leading high-impact reliability initiatives across teams. What You'll Do Set the Reliability Strategy: define the long-term vision for site reliability, including SLOs/SLIs, error budgets, availability targets, and operational standards. Build & Scale Reliable Infrastructure: architect and maintain resilient, scalable cloud infrastructure across AWS and Kubernetes, ensuring systems are secure, fault-tolerant, and cost-effective. Own Observability & Monitoring: design and evolve monitoring, alerting, and logging systems that provide clear, actionable signals across services and environments. Lead Incident Response & Postmortems: own incident management practices, lead major incident response, and drive blameless postmortems that result in meaningful system improvements. Improve System Resilience: identify reliability risks and lead efforts around redundancy, failover, capacity planning, and graceful degradation. Optimize CI/CD & Deployment Reliability: partner with engineering teams to ensure deployments are safe, observable, and reversible; improve rollout strategies and reduce operational risk. Partner with Product & Engineering Teams: collaborate early in the development lifecycle to influence system design, scalability, and reliability tradeoffs. Reduce Toil & Improve Developer Experience: automate operational tasks, improve runbooks, and build tooling that reduces manual work and accelerates safe execution. Drive Root Cause Resolution : guide teams through deep debugging of reliability issues, ensuring fixes address underlying causes rather than symptoms. Influence Reliability Culture: promote reliability-first thinking, strong operational hygiene, and shared ownership of production systems across engineering. Mentor & Level Up the Team: coach engineers on reliability principles, incident handling, infrastructure design, and operational best practices. You Might Be a Fit If You Have 7+ years of experience in site reliability engineering, infrastructure engineering, or backend software engineering. Have designed and operated highly available, production-grade systems supporting rapid product iteration. Are fluent in Python and/or TypeScript, and comfortable building automation and tooling to support reliability goals. Have a deep experience with AWS, Kubernetes (EKS), Docker, and cloud-native architectures. Have implemented and evolved observability stacks (metrics, logs, traces) and know how to create high-signal alerting. Understand how to design, measure, and enforce SLOs, SLIs, and error budgets. Have supported systems built with modern stacks such as FastAPI, Vue.js, PostgreSQL (RDS), and event-driven architectures. Have improved reliability and operational maturity in environments using CI/CD pipelines, infrastructure as code, and modern deployment workflows. Can balance reliability, velocity, and cost - making pragmatic tradeoffs that serve customers and the business. Enjoy collaborating across Product, Backend, Frontend, and Infrastructure teams to improve system health. Thrive in a role that blends deep technical execution, system design, and leadership influence in a fast-moving environment. Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) Medical, dental & vision insurance coverage for you 401(k) & Match Equity Flexible PTO Parental Leave Compensation Range: $200K - $275K
08/05/2026
Full time
Job Description Job Description Stuut is transforming accounts receivable for B2B companies-making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We're hiring a Lead Site Reliability Engineer to drive the strategy, architecture, and execution of reliability, scalability, and operational excellence across our platform. You'll build and scale the systems that keep Stuut highly available, performant, and resilient as we grow customers, traffic, and complexity. From defining SLOs and reliability standards to hardening infrastructure, improving observability, and guiding teams through incident response and postmortems, you'll own the engineering rigor that allows us to ship quickly without sacrificing stability . You'll turn strong reliability engineering into real customer trust - creating the guardrails that let product and engineering move fast with confidence. This is a hands-on technical leadership role for an engineer who excels at designing reliable distributed systems, influencing engineering practices, and leading high-impact reliability initiatives across teams. What You'll Do Set the Reliability Strategy: define the long-term vision for site reliability, including SLOs/SLIs, error budgets, availability targets, and operational standards. Build & Scale Reliable Infrastructure: architect and maintain resilient, scalable cloud infrastructure across AWS and Kubernetes, ensuring systems are secure, fault-tolerant, and cost-effective. Own Observability & Monitoring: design and evolve monitoring, alerting, and logging systems that provide clear, actionable signals across services and environments. Lead Incident Response & Postmortems: own incident management practices, lead major incident response, and drive blameless postmortems that result in meaningful system improvements. Improve System Resilience: identify reliability risks and lead efforts around redundancy, failover, capacity planning, and graceful degradation. Optimize CI/CD & Deployment Reliability: partner with engineering teams to ensure deployments are safe, observable, and reversible; improve rollout strategies and reduce operational risk. Partner with Product & Engineering Teams: collaborate early in the development lifecycle to influence system design, scalability, and reliability tradeoffs. Reduce Toil & Improve Developer Experience: automate operational tasks, improve runbooks, and build tooling that reduces manual work and accelerates safe execution. Drive Root Cause Resolution : guide teams through deep debugging of reliability issues, ensuring fixes address underlying causes rather than symptoms. Influence Reliability Culture: promote reliability-first thinking, strong operational hygiene, and shared ownership of production systems across engineering. Mentor & Level Up the Team: coach engineers on reliability principles, incident handling, infrastructure design, and operational best practices. You Might Be a Fit If You Have 7+ years of experience in site reliability engineering, infrastructure engineering, or backend software engineering. Have designed and operated highly available, production-grade systems supporting rapid product iteration. Are fluent in Python and/or TypeScript, and comfortable building automation and tooling to support reliability goals. Have a deep experience with AWS, Kubernetes (EKS), Docker, and cloud-native architectures. Have implemented and evolved observability stacks (metrics, logs, traces) and know how to create high-signal alerting. Understand how to design, measure, and enforce SLOs, SLIs, and error budgets. Have supported systems built with modern stacks such as FastAPI, Vue.js, PostgreSQL (RDS), and event-driven architectures. Have improved reliability and operational maturity in environments using CI/CD pipelines, infrastructure as code, and modern deployment workflows. Can balance reliability, velocity, and cost - making pragmatic tradeoffs that serve customers and the business. Enjoy collaborating across Product, Backend, Frontend, and Infrastructure teams to improve system health. Thrive in a role that blends deep technical execution, system design, and leadership influence in a fast-moving environment. Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) Medical, dental & vision insurance coverage for you 401(k) & Match Equity Flexible PTO Parental Leave Compensation Range: $200K - $275K
Sr. Distinguished Machine Learning Engineer (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Consumer Engagement Platform organization at Capital One empowers rapid financial product innovation at scale and delivers developer joy, for all Capital One's consumer products and organizations, by providing well-managed, self-service, experimentation-driven, and personalized product development vehicles. Hyper Personalization org is building the intelligence and infrastructure that will enable Capital One to deliver truly individualized, real-time customer experiences at scale - turning every channel into a context-aware decisioning surface, from home feeds to marketing and servicing messages. The org's mission is to move Capital One to deliver always-on, cohort-of-one personalization, powered by resilient data foundations, production-grade ML and GenAI systems, and low-latency application platforms that make it easy for teams across the company to experiment, innovate, and serve the right experience to every customer at the right moment. What you'll do in the role: Define and drive technical strategy and roadmap for our Personalization Platform that powers real-time, personalized product experiences and multi-channel targeted user messaging across all Capital One products and services. Partner cross-functionally with Product, Data science, Cloud infrastructure, and Machine learning platform teams to align on and co-develop the advanced recommendation systems and algorithms serving our Capital One users. Develop and maintain a flexible, scalable rules engine to enable business-driven personalization logic, allowing dynamic configuration of user segmentation, targeting rules, and real-time decisioning while integrating seamlessly with ML-driven recommendations. Design, build and maintain robust ML infrastructure and pipelines to support end-to-end workflows including feature extraction, model training, testing, guardrails, model evaluation, deployment, and both real-time and batch inference - ensuring high performance, scalability, and reliability. Architect low-latency, event-driven systems for enabling real-time dynamic personalization and decisioning based on streaming data, user behavior, and contextual signals. Drive the evolution of MLOps practices by building automated metrics-backed deployment workflows, integration validation and testing systems, and scalable monitoring & observability. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Provide organizational technical leadership to influence architecture, engineering standards, cross-team strategies, mentoring engineers and driving organization wide platform innovation. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 7 years of experience programming in C, C++, Python, or Scala At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: 8+ years of experience deploying scalable, responsible AI solutions on major cloud platforms (AWS, GCP, Azure); Master's or PhD in Computer Science or a relevant technical field. 5+ years of proven expertise in designing, implementing and scaling personalization platform and recommendation systems serving one or more areas of Feed Personalization/Ads Ranking/Targeted Marketing Messaging. 5+ years of strong proficiency in Python, Java, C++, or Golang; hands-on experience with ML frameworks (PyTorch, TensorFlow) and orchestration tools (Databricks, Airflow, Kubeflow). 5+ years of experience developing and applying state-of-the-art techniques for optimizing training and inference systems to improve hardware utilization, latency, throughput, and cost. 5+ years of deep expertise in cloud-native engineering, containerization (Docker, Kubernetes), and automated CI/CD deployment. Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven leadership in driving platform strategy, fostering cross-functional collaboration, and influencing technical direction across the company. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to . click apply for full job details
08/05/2026
Full time
Sr. Distinguished Machine Learning Engineer (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Consumer Engagement Platform organization at Capital One empowers rapid financial product innovation at scale and delivers developer joy, for all Capital One's consumer products and organizations, by providing well-managed, self-service, experimentation-driven, and personalized product development vehicles. Hyper Personalization org is building the intelligence and infrastructure that will enable Capital One to deliver truly individualized, real-time customer experiences at scale - turning every channel into a context-aware decisioning surface, from home feeds to marketing and servicing messages. The org's mission is to move Capital One to deliver always-on, cohort-of-one personalization, powered by resilient data foundations, production-grade ML and GenAI systems, and low-latency application platforms that make it easy for teams across the company to experiment, innovate, and serve the right experience to every customer at the right moment. What you'll do in the role: Define and drive technical strategy and roadmap for our Personalization Platform that powers real-time, personalized product experiences and multi-channel targeted user messaging across all Capital One products and services. Partner cross-functionally with Product, Data science, Cloud infrastructure, and Machine learning platform teams to align on and co-develop the advanced recommendation systems and algorithms serving our Capital One users. Develop and maintain a flexible, scalable rules engine to enable business-driven personalization logic, allowing dynamic configuration of user segmentation, targeting rules, and real-time decisioning while integrating seamlessly with ML-driven recommendations. Design, build and maintain robust ML infrastructure and pipelines to support end-to-end workflows including feature extraction, model training, testing, guardrails, model evaluation, deployment, and both real-time and batch inference - ensuring high performance, scalability, and reliability. Architect low-latency, event-driven systems for enabling real-time dynamic personalization and decisioning based on streaming data, user behavior, and contextual signals. Drive the evolution of MLOps practices by building automated metrics-backed deployment workflows, integration validation and testing systems, and scalable monitoring & observability. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Provide organizational technical leadership to influence architecture, engineering standards, cross-team strategies, mentoring engineers and driving organization wide platform innovation. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 7 years of experience programming in C, C++, Python, or Scala At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: 8+ years of experience deploying scalable, responsible AI solutions on major cloud platforms (AWS, GCP, Azure); Master's or PhD in Computer Science or a relevant technical field. 5+ years of proven expertise in designing, implementing and scaling personalization platform and recommendation systems serving one or more areas of Feed Personalization/Ads Ranking/Targeted Marketing Messaging. 5+ years of strong proficiency in Python, Java, C++, or Golang; hands-on experience with ML frameworks (PyTorch, TensorFlow) and orchestration tools (Databricks, Airflow, Kubeflow). 5+ years of experience developing and applying state-of-the-art techniques for optimizing training and inference systems to improve hardware utilization, latency, throughput, and cost. 5+ years of deep expertise in cloud-native engineering, containerization (Docker, Kubernetes), and automated CI/CD deployment. Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven leadership in driving platform strategy, fostering cross-functional collaboration, and influencing technical direction across the company. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to . click apply for full job details
Disney Entertainment and ESPN Product & Technology
Glendale, California
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: We are seeking a Manager, Software Engineering, focused on BI & Analytics to lead a high-performing, multidisciplinary team in building and maintaining the data pipelines, AI-powered data solutions, and custom analytics UIs and dashboards that are foundational to Disney's Ad Platforms. In this role, you'll manage both frontend and backend software & data engineering, ensuring that business and end-user needs are met with reliability, scalability, and outstanding UI/UX design. The ideal candidate will be both a technical leader and a people manager with deep expertise in software, data engineering and platform strategy. Responsibilities and Duties of the Role: Instill a culture grounded in engineering best practices such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Manage, mentor, and grow a team of high-performing software and data engineers, fostering a collaborative and innovative culture such as code quality, documentation, automation, and continuous improvement Coordinate with Product Management to align engineering roadmaps with product initiatives and timelines Partner with Program Managers to drive planning, prioritization, and delivery of cross-functional efforts Collaborate with QA leadership to build data quality processes and end-to-end validation such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Lead and grow a high-performing team of software and data engineers working on mission-critical data products Set engineering roadmaps, delivery timelines, and platform-level initiatives Drive adoption of best-in-class tools and practices for data governance, lineage, observability, and cost optimization Provide technical guidance and career development for the team Collaborate with senior leadership to define data strategy and long-term architecture vision Manage capacity planning, resource allocation, and performance reviews Lead vendor/tool evaluations and oversee key integration efforts Partner with BI and analytics leads to ensure consistent, reliable data is delivered across the enterprise Spearhead the implementation of custom dashboards and analytics UIs, leveraging modern web frameworks (React, Angular, Vue, etc.), advanced data visualization, and design system best practices. Rapidly prototype UI components tailored to stakeholder/business requirements, ensuring high standards for usability, accessibility, and visual polish. Drive the integration of AI/ML solutions into both backend pipelines and analytics products; champion the use of AI-powered software development processes and robust, end-to-end SDLC practices. Required Education, Experience/Skills/Training: Required Qualifications Languages: Scala, Python, SQL, JavaScript Data Processing: Apache Spark, Flink, Airflow Platforms & Tools: Databricks, Hive, Presto, Snowflake Cloud: AWS (S3, EMR, Glue, Lambda) Minimum of 8 years of relevant software engineering, data engineering or data science - preferably with a digital media or digital advertising company Experience delivering products in an agile software development environment including sprint work in Jira Excellent interpersonal skills with the ability to collaborate and partner across multiple teams and organizations Strong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow Expert level knowledge in at least one programming language such as Python, R, Scala, Java. Demonstrated experience working with business intelligence tools such as MicroStrategy, Tableau, Business Objects, Looker, etc. Strong experience building and deploying dashboards and UIs with frameworks such as React, Angular, or Vue. Demonstrated ability to quickly prototype and implement custom UI components to meet evolving business/stakeholder specs. Familiarity with AI-powered solution development and integrating machine learning into production data/analytics environments. Strong software development life cycle (SDLC) management experience, including source control, CI/CD, and agile workflows (Jira). Demonstrated ability to effectively communicate complex concepts to technical and unacquainted audiences Experience in working with large datasets (Terabytes or more) Strong presentation and documentation skills including experience working with Confluence, Power Point, and Lucid Chart Strong analytical and critical thinking skills Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team Preferred Qualifications Experience designing, building and supporting Business Intelligence (BI) data platforms, dashboards, and reporting environments Experience in Ad Tech, particularly Linear or Addressable Advertising Experience with digital advertising systems and ecosystems Experience using data analytics to triage and troubleshoot advertising workflows Experience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD) Experience with rapid prototyping and agile delivery of analytics products. Required Education Bachelor's degree in computer science, or related technical fields, or equivalent experience Additional Information: Engineers are expected to be in the office four days a week. This role is hiring in Glendale, CA The hiring range for this position in Los Angeles, CA is between $171,600 - $230,100, Seattle, WA is between $179,700 - $241,000 and San Francisco, CA is between $187,900 - $252,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/05/2026
Full time
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: We are seeking a Manager, Software Engineering, focused on BI & Analytics to lead a high-performing, multidisciplinary team in building and maintaining the data pipelines, AI-powered data solutions, and custom analytics UIs and dashboards that are foundational to Disney's Ad Platforms. In this role, you'll manage both frontend and backend software & data engineering, ensuring that business and end-user needs are met with reliability, scalability, and outstanding UI/UX design. The ideal candidate will be both a technical leader and a people manager with deep expertise in software, data engineering and platform strategy. Responsibilities and Duties of the Role: Instill a culture grounded in engineering best practices such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Manage, mentor, and grow a team of high-performing software and data engineers, fostering a collaborative and innovative culture such as code quality, documentation, automation, and continuous improvement Coordinate with Product Management to align engineering roadmaps with product initiatives and timelines Partner with Program Managers to drive planning, prioritization, and delivery of cross-functional efforts Collaborate with QA leadership to build data quality processes and end-to-end validation such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Lead and grow a high-performing team of software and data engineers working on mission-critical data products Set engineering roadmaps, delivery timelines, and platform-level initiatives Drive adoption of best-in-class tools and practices for data governance, lineage, observability, and cost optimization Provide technical guidance and career development for the team Collaborate with senior leadership to define data strategy and long-term architecture vision Manage capacity planning, resource allocation, and performance reviews Lead vendor/tool evaluations and oversee key integration efforts Partner with BI and analytics leads to ensure consistent, reliable data is delivered across the enterprise Spearhead the implementation of custom dashboards and analytics UIs, leveraging modern web frameworks (React, Angular, Vue, etc.), advanced data visualization, and design system best practices. Rapidly prototype UI components tailored to stakeholder/business requirements, ensuring high standards for usability, accessibility, and visual polish. Drive the integration of AI/ML solutions into both backend pipelines and analytics products; champion the use of AI-powered software development processes and robust, end-to-end SDLC practices. Required Education, Experience/Skills/Training: Required Qualifications Languages: Scala, Python, SQL, JavaScript Data Processing: Apache Spark, Flink, Airflow Platforms & Tools: Databricks, Hive, Presto, Snowflake Cloud: AWS (S3, EMR, Glue, Lambda) Minimum of 8 years of relevant software engineering, data engineering or data science - preferably with a digital media or digital advertising company Experience delivering products in an agile software development environment including sprint work in Jira Excellent interpersonal skills with the ability to collaborate and partner across multiple teams and organizations Strong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow Expert level knowledge in at least one programming language such as Python, R, Scala, Java. Demonstrated experience working with business intelligence tools such as MicroStrategy, Tableau, Business Objects, Looker, etc. Strong experience building and deploying dashboards and UIs with frameworks such as React, Angular, or Vue. Demonstrated ability to quickly prototype and implement custom UI components to meet evolving business/stakeholder specs. Familiarity with AI-powered solution development and integrating machine learning into production data/analytics environments. Strong software development life cycle (SDLC) management experience, including source control, CI/CD, and agile workflows (Jira). Demonstrated ability to effectively communicate complex concepts to technical and unacquainted audiences Experience in working with large datasets (Terabytes or more) Strong presentation and documentation skills including experience working with Confluence, Power Point, and Lucid Chart Strong analytical and critical thinking skills Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team Preferred Qualifications Experience designing, building and supporting Business Intelligence (BI) data platforms, dashboards, and reporting environments Experience in Ad Tech, particularly Linear or Addressable Advertising Experience with digital advertising systems and ecosystems Experience using data analytics to triage and troubleshoot advertising workflows Experience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD) Experience with rapid prototyping and agile delivery of analytics products. Required Education Bachelor's degree in computer science, or related technical fields, or equivalent experience Additional Information: Engineers are expected to be in the office four days a week. This role is hiring in Glendale, CA The hiring range for this position in Los Angeles, CA is between $171,600 - $230,100, Seattle, WA is between $179,700 - $241,000 and San Francisco, CA is between $187,900 - $252,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Visa Technology and Operations LLC
Foster City, California
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Join our dynamic Visa Cybersecurity - Product Security Engineering team, a key component of Visa's Technology organization, where you will play a crucial role in securing and innovating Visa's products and services. Our team is at the forefront of technology, delivering secure, high-quality, and easy-to-use products that enable Visa and our partners to rapidly and efficiently innovate. Cyber Products operationalizes the usage of AI and decision intelligence to ensure ongoing business values. If you want to be in the exciting payment security and AI space, learn fast, and make big impacts, this is an ideal place for you! The role is for a specialist with hands-on generative AI experience, who thrives on solving complex challenges, modernizing legacy code, and embracing cutting-edge technologies like LLMs. We are responsible for designing, developing, and implementing next generation data platforms to drive incremental revenue. Essential Functions: Hands-on Programming Full-stack development contributes to the design of backend, databases and queries, API creations and consumptions, and contributes to frontend UI development. Works independently with minimal insight to develop software that conforms to Visa's high standards of security, quality, performance, resiliency, and compliance. Design, develop, and unit test applications in accordance with established standards. Improving the productivity of the engineering organization by infusing AI into our coding standards and practices. Proven track record of managing and executing multiple high-impact LLM based projects, balancing delivery speed with quality. Able to showcase the productivity improvement by collecting relevant metrics. Participate in design and code review sessions as appropriate. Provide third-level support to business users. Keep up with current and developing engineering trends Design, Architect and Implement high robust system designs as per the growing needs Contribute to the roadmap for the product Work with architects, systems analysts, project managers and other developers to efficiently implement business requirements while applying the latest available tools and technology. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • Bachelor's degree, OR 3+ years of relevant work experience Preferred Qualifications • Bachelor's degree in Computer Science, Computer Information Systems, Computer Engineering, or closely related field and 2 years of experience in the job offered or in a software engineer-related occupation. • 2 or more years of work experience. • Minimum of 2 years of hands-on expertise with Java, Spring, Python and related technologies. • Experience in Gen AI, Big data and UI technologies will be an added advantage. • Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MySQL and NoSQL data warehouses such as HBase. • Highly skilled in realizing the full potential of LLM-based AI frameworks. • Ability to work effectively on multiple concurrent assignments with both AI and non-AI application projects. • Experience working in an Agile and Test-Driven Development environment. • Experience with Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git, Selenium, Chef desirable. • Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients. • Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style. U.S. Applicants Only The estimated salary range for this position is $97,800.00 to $ 152,100.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
08/05/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Join our dynamic Visa Cybersecurity - Product Security Engineering team, a key component of Visa's Technology organization, where you will play a crucial role in securing and innovating Visa's products and services. Our team is at the forefront of technology, delivering secure, high-quality, and easy-to-use products that enable Visa and our partners to rapidly and efficiently innovate. Cyber Products operationalizes the usage of AI and decision intelligence to ensure ongoing business values. If you want to be in the exciting payment security and AI space, learn fast, and make big impacts, this is an ideal place for you! The role is for a specialist with hands-on generative AI experience, who thrives on solving complex challenges, modernizing legacy code, and embracing cutting-edge technologies like LLMs. We are responsible for designing, developing, and implementing next generation data platforms to drive incremental revenue. Essential Functions: Hands-on Programming Full-stack development contributes to the design of backend, databases and queries, API creations and consumptions, and contributes to frontend UI development. Works independently with minimal insight to develop software that conforms to Visa's high standards of security, quality, performance, resiliency, and compliance. Design, develop, and unit test applications in accordance with established standards. Improving the productivity of the engineering organization by infusing AI into our coding standards and practices. Proven track record of managing and executing multiple high-impact LLM based projects, balancing delivery speed with quality. Able to showcase the productivity improvement by collecting relevant metrics. Participate in design and code review sessions as appropriate. Provide third-level support to business users. Keep up with current and developing engineering trends Design, Architect and Implement high robust system designs as per the growing needs Contribute to the roadmap for the product Work with architects, systems analysts, project managers and other developers to efficiently implement business requirements while applying the latest available tools and technology. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • Bachelor's degree, OR 3+ years of relevant work experience Preferred Qualifications • Bachelor's degree in Computer Science, Computer Information Systems, Computer Engineering, or closely related field and 2 years of experience in the job offered or in a software engineer-related occupation. • 2 or more years of work experience. • Minimum of 2 years of hands-on expertise with Java, Spring, Python and related technologies. • Experience in Gen AI, Big data and UI technologies will be an added advantage. • Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MySQL and NoSQL data warehouses such as HBase. • Highly skilled in realizing the full potential of LLM-based AI frameworks. • Ability to work effectively on multiple concurrent assignments with both AI and non-AI application projects. • Experience working in an Agile and Test-Driven Development environment. • Experience with Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git, Selenium, Chef desirable. • Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients. • Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style. U.S. Applicants Only The estimated salary range for this position is $97,800.00 to $ 152,100.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer Sr Consultant Level , you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. The Work itself: Design code and systems that touch 40% of the world population while influencing Visa's internal standards for scalability, security, and reusability Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Designing, documenting, and implementing new systems, enhancements, and modifications to existing software that aligns with design specifications, security, and Java best practices. Interacting with both business and technical stakeholders to deliver high-quality products and services that meet business requirements, using the latest tools and technology. Delivering zero-defect code and ensuring the team's deliverables meet or exceed business expectations. Design, implement and evolve highly scalable and fault-tolerant web based applications. Identifying opportunities for product innovation and improvements to best practices, standards, and processes. Contribute to efficient development process pipeline by leveraging best-in-class CI and CD tools. Develop and maintain back-end services using Java and Spring Boot, design and develop test automation frameworks, maintain CI and CD pipelines, conduct performance and load testing, and write automated test cases. Presenting technical solutions, capabilities, considerations, and features in business terms. Communicating status, issues, and risks effectively and timely. Contributing to the design of backend DBs and queries, API creation and consumption, and front-end UI development. Also manage backend operations and batch jobs to maintain the data. Leverage new technologies to build the next generation of Application stack. Working independently to develop software that conforms to Visa's high standards of security, quality, performance, resiliency, and compliance. Essential Functions: You are a Java expert, and you have experience with REST APIs, JSON. Solid Experience with back-end technologies such as J2EE, JDBC, JMS and frameworks like Spring or Spring Batch, Spring Boot and vertex. Rich Front-End development experience with Angular and React JS, Node.JS. Working experience with Kafka, Redis, Hazelcast, or NoSQL datastores is a plus. Hands on experience with database technologies like MySQL, DB2, Oracle. You have strong experience with Agile development incorporating Continuous Integration and Continuous Delivery, utilizing technologies such as GIT, Maven, Jenkins, Chef, Sonar, JUnit. Strong oral and written communications skills are required. Exceptional troubleshooting and analytical skills. Ability to multitask and handle multiple competing priorities with minimal direction from management. Must work well within a team in a fast-paced high-performance organization. We count on your curiosity and creativity, to want to understand the requirements and our processes and want to come up with creative solutions. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages such as Java is preferred. • Gen AI: Experience building and deploying services using AI technologies such as LangGraph, LangChain, A2A, MCP etc. • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • Collaborative Leadership: Lead and collaborate with stakeholders (e.g., product owners, project managers, technical leads, architects) to define project requirements, leveraging an understanding of tradeoffs and project costs. • Design and Architecture: Translate functional and non-functional requirements into system designs, ensuring components interact seamlessly across teams. Lead architecture discussions and refine design documents to meet non-functional requirements. • Code Development and Reviews: Independently design and develop products, lead code reviews, and ensure adherence to coding standards. Provide guidance to team members and share best practices. • Testing and Quality Assurance: Create and review complex test plans, identify test gaps, and ensure efficient execution of quality assurance testing. Proactively predict and address defects in software code. • Tool Enhancement and Automation: Lead efforts to enhance, reuse, and identify new developer tools. Propose and implement automation to improve system and tool efficiency. • Mentorship and Knowledge Sharing: Stay abreast of new trends and technologies, mentor other engineers, and share knowledge to improve product availability, reliability, efficiency, observability, and performance. • Stakeholder Engagement: Engage with product engineering teams and product owners through code/design reviews, regular meetings, and participation in on-call rotations and incident responses. U.S. Applicants Only The estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
08/05/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer Sr Consultant Level , you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. The Work itself: Design code and systems that touch 40% of the world population while influencing Visa's internal standards for scalability, security, and reusability Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Designing, documenting, and implementing new systems, enhancements, and modifications to existing software that aligns with design specifications, security, and Java best practices. Interacting with both business and technical stakeholders to deliver high-quality products and services that meet business requirements, using the latest tools and technology. Delivering zero-defect code and ensuring the team's deliverables meet or exceed business expectations. Design, implement and evolve highly scalable and fault-tolerant web based applications. Identifying opportunities for product innovation and improvements to best practices, standards, and processes. Contribute to efficient development process pipeline by leveraging best-in-class CI and CD tools. Develop and maintain back-end services using Java and Spring Boot, design and develop test automation frameworks, maintain CI and CD pipelines, conduct performance and load testing, and write automated test cases. Presenting technical solutions, capabilities, considerations, and features in business terms. Communicating status, issues, and risks effectively and timely. Contributing to the design of backend DBs and queries, API creation and consumption, and front-end UI development. Also manage backend operations and batch jobs to maintain the data. Leverage new technologies to build the next generation of Application stack. Working independently to develop software that conforms to Visa's high standards of security, quality, performance, resiliency, and compliance. Essential Functions: You are a Java expert, and you have experience with REST APIs, JSON. Solid Experience with back-end technologies such as J2EE, JDBC, JMS and frameworks like Spring or Spring Batch, Spring Boot and vertex. Rich Front-End development experience with Angular and React JS, Node.JS. Working experience with Kafka, Redis, Hazelcast, or NoSQL datastores is a plus. Hands on experience with database technologies like MySQL, DB2, Oracle. You have strong experience with Agile development incorporating Continuous Integration and Continuous Delivery, utilizing technologies such as GIT, Maven, Jenkins, Chef, Sonar, JUnit. Strong oral and written communications skills are required. Exceptional troubleshooting and analytical skills. Ability to multitask and handle multiple competing priorities with minimal direction from management. Must work well within a team in a fast-paced high-performance organization. We count on your curiosity and creativity, to want to understand the requirements and our processes and want to come up with creative solutions. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages such as Java is preferred. • Gen AI: Experience building and deploying services using AI technologies such as LangGraph, LangChain, A2A, MCP etc. • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • Collaborative Leadership: Lead and collaborate with stakeholders (e.g., product owners, project managers, technical leads, architects) to define project requirements, leveraging an understanding of tradeoffs and project costs. • Design and Architecture: Translate functional and non-functional requirements into system designs, ensuring components interact seamlessly across teams. Lead architecture discussions and refine design documents to meet non-functional requirements. • Code Development and Reviews: Independently design and develop products, lead code reviews, and ensure adherence to coding standards. Provide guidance to team members and share best practices. • Testing and Quality Assurance: Create and review complex test plans, identify test gaps, and ensure efficient execution of quality assurance testing. Proactively predict and address defects in software code. • Tool Enhancement and Automation: Lead efforts to enhance, reuse, and identify new developer tools. Propose and implement automation to improve system and tool efficiency. • Mentorship and Knowledge Sharing: Stay abreast of new trends and technologies, mentor other engineers, and share knowledge to improve product availability, reliability, efficiency, observability, and performance. • Stakeholder Engagement: Engage with product engineering teams and product owners through code/design reviews, regular meetings, and participation in on-call rotations and incident responses. U.S. Applicants Only The estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
This is not a remote role. You must be in the area or willing to relocate! "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Disney Vacation Club, Storyliving by Disney, Adventures by Disney, and National Geographic Expeditions. This role sits in the Disney Signature Experience organization within Technology & Digital for Disney Experiences. It supports high-visibility, guest-facing digital platforms and works closely with Storyliving by Disney, Adventures by Disney and National Geographic Expeditions (A&E) businesses. Role Summary The Lead Software Engineer will be responsible for leading the development and implementation of custom and commercial software projects to power both cast and guest experiences. They will champion the use of AI-assisted development tools and process automation across the software development lifecycle (SDLC), driving measurable improvements in delivery speed, code quality, and operational efficiency. This role intentionally blends active software development with technical leadership. You will spend meaningful time designing, building, reviewing, and improving code while also setting technical direction, mentoring engineers, and guiding platform strategy. The role emphasizes modern front-end engineering (UI architecture, performance, accessibility, component-driven development) while maintaining full-stack responsibility with back-end systems. You will partner closely with Product, UX, Content, and Business stakeholders to ensure the web platform and front-end ecosystem scale reliably to support best-in-class, high-traffic, revenue-generating digital experiences. What You'll Do Experience Platform & Front-End Engineering Leadership (Primary Focus) Own the technical strategy, roadmap, and operational health of the Adobe Experience Manager (AEM) platform and the guest-facing front-end ecosystem built on it Set front-end architecture direction for guest-facing web experiences (rendering strategy, component architecture, data/state patterns) and ensure consistency across products Lead platform upgrades, security posture, performance optimization, reliability, and scalability initiatives across both the platform and UI layer Establish and evolve engineering standards and best practices for front-end development (patterns, guardrails, quality gates, CI/CD expectations) Build and govern reusable capabilities: components/templates/workflows/content models and shared UI component libraries/design system adoption Write, review, and optimize production-quality code using JavaScript and TypeScript; provide hands-on technical leadership for React and Angular implementations Champion web fundamentals using measurable standards and tooling: performance, accessibility (WCAG), SEO, and responsive design Partner with Product, UX, Design, and Content teams to translate designs into scalable, maintainable solutions and enable AI-assisted content workflows (e.g., tagging, summarization, optimization) with brand governance and quality controls Introduce AI-enhanced experience capabilities where valuable (e.g., intelligent search, recommendations, conversational interfaces, personalization) with appropriate quality and risk controls Services & Integrations (Full-Stack Leadership) Design, implement, and review APIs, microservices, and backend integrations supporting business and guest experiences Define integration strategies with internal systems and third-party services, ensuring secure and reliable service contracts Contribute hands-on across the stack as needed to unblock teams, accelerate delivery, and resolve complex technical challenges Collaborate with architects on cloud-native and AI solution patterns, ensuring operability and maintainability Ensure end-to-end alignment between front-end, services, and infrastructure (performance, reliability, observability readiness) Engineering Excellence & Delivery Drive adoption of AI-assisted engineering practices (agentic IDEs, code assistants, AI pair programming) to improve throughput and quality, with clear team guardrails and measurable outcomes Set standards for "trust-but-verify" usage of AI-generated code: validation, security review, refactoring expectations, and maintainability requirements (including preventing over-reliance on automation) Expand SDLC automation using AI where it improves outcomes (test generation, documentation generation, code review acceleration, pipeline improvements), while preserving engineering rigor Actively participate in development while leading code reviews to ensure quality, security, and maintainability Identify, prioritize, and remediate technical debt through hands-on contribution and backlog planning Translate business requirements into clear technical designs, stories, and implementation plans Guide estimation, planning, and delivery of complex initiatives Ensure CI/CD, monitoring, logging, and observability are built into all solutions Review and approve solution designs and technical documentation Ensure you remain up to date with emerging technologies so you can make informed recommendations Team Leadership & Mentorship Mentor and coach engineers through code reviews, pairing, and design discussions Provide technical leadership to both onshore and offshore development teams Foster a collaborative, inclusive, and high-performing engineering culture Promote effective use of AI-assisted developer tools to improve code quality, velocity, and documentation Lead by example through strong engineering practices, ownership, and accountability Required Qualifications 7+ years of professional software engineering experience Demonstrated ability to lead technical decision-making, influence architecture across teams, and align engineering solutions with business outcomes An advocate for a diverse and inclusive culture that encourages innovation and ensures every team member feels a sense of belonging Must have demonstrated success using AI coding assistants (agentic IDEs / AI pair programming) to improve delivery speed and quality Must have experience implementing AI-enabled automation across SDLC (testing, code review, documentation, CI/CD) with measurable outcomes Strong "trust-but-verify" discipline: validate, secure, refactor, and govern AI-generated output to meet maintainability standards Ability to establish team guardrails and educate others on responsible AI usage (risks, over-reliance, licensing/security considerations) Strong expertise in modern front-end development using JavaScript and TypeScript Must have hands-on experience with Node.js, React and Angular in large-scale applications Must have solid full-stack experience with Java, Spring, Spring Boot, RESTful APIs, and microservices Experience designing and operating CI/CD pipelines Experience with monitoring and observability tools (e.g., Splunk, AppDynamics, etc.) Strong understanding of object-oriented design and software architecture principles Experience working in agile development environments Preferred Qualifications 10+ years of experience building and supporting enterprise-scale, customer-facing platforms Experience with Adobe Experience Manager (AEM), including AEM as a Cloud Service Experience with headless or hybrid AEM architectures Experience using AI assisted development tools in large engineering teams Understanding of responsible AI principles in enterprise or consumer facing environments Experience with cloud-based technologies like AWS, Google Cloud, Microsoft Azure Experience with Confluence and Jira to document requirements, user stories and technical designs. Required Education Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, or a related field, or equivalent practical experience Preferred Education Bachelor's or Master's degree in Computer Science or a related discipline The hiring range for this position in Orlando is $148,300.00 - $180,000.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/05/2026
Full time
This is not a remote role. You must be in the area or willing to relocate! "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Disney Vacation Club, Storyliving by Disney, Adventures by Disney, and National Geographic Expeditions. This role sits in the Disney Signature Experience organization within Technology & Digital for Disney Experiences. It supports high-visibility, guest-facing digital platforms and works closely with Storyliving by Disney, Adventures by Disney and National Geographic Expeditions (A&E) businesses. Role Summary The Lead Software Engineer will be responsible for leading the development and implementation of custom and commercial software projects to power both cast and guest experiences. They will champion the use of AI-assisted development tools and process automation across the software development lifecycle (SDLC), driving measurable improvements in delivery speed, code quality, and operational efficiency. This role intentionally blends active software development with technical leadership. You will spend meaningful time designing, building, reviewing, and improving code while also setting technical direction, mentoring engineers, and guiding platform strategy. The role emphasizes modern front-end engineering (UI architecture, performance, accessibility, component-driven development) while maintaining full-stack responsibility with back-end systems. You will partner closely with Product, UX, Content, and Business stakeholders to ensure the web platform and front-end ecosystem scale reliably to support best-in-class, high-traffic, revenue-generating digital experiences. What You'll Do Experience Platform & Front-End Engineering Leadership (Primary Focus) Own the technical strategy, roadmap, and operational health of the Adobe Experience Manager (AEM) platform and the guest-facing front-end ecosystem built on it Set front-end architecture direction for guest-facing web experiences (rendering strategy, component architecture, data/state patterns) and ensure consistency across products Lead platform upgrades, security posture, performance optimization, reliability, and scalability initiatives across both the platform and UI layer Establish and evolve engineering standards and best practices for front-end development (patterns, guardrails, quality gates, CI/CD expectations) Build and govern reusable capabilities: components/templates/workflows/content models and shared UI component libraries/design system adoption Write, review, and optimize production-quality code using JavaScript and TypeScript; provide hands-on technical leadership for React and Angular implementations Champion web fundamentals using measurable standards and tooling: performance, accessibility (WCAG), SEO, and responsive design Partner with Product, UX, Design, and Content teams to translate designs into scalable, maintainable solutions and enable AI-assisted content workflows (e.g., tagging, summarization, optimization) with brand governance and quality controls Introduce AI-enhanced experience capabilities where valuable (e.g., intelligent search, recommendations, conversational interfaces, personalization) with appropriate quality and risk controls Services & Integrations (Full-Stack Leadership) Design, implement, and review APIs, microservices, and backend integrations supporting business and guest experiences Define integration strategies with internal systems and third-party services, ensuring secure and reliable service contracts Contribute hands-on across the stack as needed to unblock teams, accelerate delivery, and resolve complex technical challenges Collaborate with architects on cloud-native and AI solution patterns, ensuring operability and maintainability Ensure end-to-end alignment between front-end, services, and infrastructure (performance, reliability, observability readiness) Engineering Excellence & Delivery Drive adoption of AI-assisted engineering practices (agentic IDEs, code assistants, AI pair programming) to improve throughput and quality, with clear team guardrails and measurable outcomes Set standards for "trust-but-verify" usage of AI-generated code: validation, security review, refactoring expectations, and maintainability requirements (including preventing over-reliance on automation) Expand SDLC automation using AI where it improves outcomes (test generation, documentation generation, code review acceleration, pipeline improvements), while preserving engineering rigor Actively participate in development while leading code reviews to ensure quality, security, and maintainability Identify, prioritize, and remediate technical debt through hands-on contribution and backlog planning Translate business requirements into clear technical designs, stories, and implementation plans Guide estimation, planning, and delivery of complex initiatives Ensure CI/CD, monitoring, logging, and observability are built into all solutions Review and approve solution designs and technical documentation Ensure you remain up to date with emerging technologies so you can make informed recommendations Team Leadership & Mentorship Mentor and coach engineers through code reviews, pairing, and design discussions Provide technical leadership to both onshore and offshore development teams Foster a collaborative, inclusive, and high-performing engineering culture Promote effective use of AI-assisted developer tools to improve code quality, velocity, and documentation Lead by example through strong engineering practices, ownership, and accountability Required Qualifications 7+ years of professional software engineering experience Demonstrated ability to lead technical decision-making, influence architecture across teams, and align engineering solutions with business outcomes An advocate for a diverse and inclusive culture that encourages innovation and ensures every team member feels a sense of belonging Must have demonstrated success using AI coding assistants (agentic IDEs / AI pair programming) to improve delivery speed and quality Must have experience implementing AI-enabled automation across SDLC (testing, code review, documentation, CI/CD) with measurable outcomes Strong "trust-but-verify" discipline: validate, secure, refactor, and govern AI-generated output to meet maintainability standards Ability to establish team guardrails and educate others on responsible AI usage (risks, over-reliance, licensing/security considerations) Strong expertise in modern front-end development using JavaScript and TypeScript Must have hands-on experience with Node.js, React and Angular in large-scale applications Must have solid full-stack experience with Java, Spring, Spring Boot, RESTful APIs, and microservices Experience designing and operating CI/CD pipelines Experience with monitoring and observability tools (e.g., Splunk, AppDynamics, etc.) Strong understanding of object-oriented design and software architecture principles Experience working in agile development environments Preferred Qualifications 10+ years of experience building and supporting enterprise-scale, customer-facing platforms Experience with Adobe Experience Manager (AEM), including AEM as a Cloud Service Experience with headless or hybrid AEM architectures Experience using AI assisted development tools in large engineering teams Understanding of responsible AI principles in enterprise or consumer facing environments Experience with cloud-based technologies like AWS, Google Cloud, Microsoft Azure Experience with Confluence and Jira to document requirements, user stories and technical designs. Required Education Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, or a related field, or equivalent practical experience Preferred Education Bachelor's or Master's degree in Computer Science or a related discipline The hiring range for this position in Orlando is $148,300.00 - $180,000.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Job Title: Senior Full Stack Java Developer (React) Location: Newark, DE / Charlotte, NC Onsite required Duration: Contract - 11 months Pay Range: $65.05/hr (W2) Job ID: 406720 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Full Stack Developer (Java + ReactJS) to join our dynamic team supporting the Workforce Management Portal. The ideal candidate will have strong experience in Java, Spring, and modern front-end development with ReactJS and a proven ability to design, build, and deliver scalable, high-performance, and secure web applications. Responsibilities: Design, develop, and maintain full stack web applications using Java, Spring, and ReactJS. Build reusable, testable UI components and Single Page Applications. Develop RESTful APIs and integrate front-end components with back-end services. Write unit tests with JUnit and ensure code quality through reviews and automation. Collaborate within Agile teams to refine requirements and deliver increments. Troubleshoot, optimize, and enhance performance, security, and maintainability. Required Skills & Qualifications: 10+ years of relevant IT development experience. 6+ years hands-on web development with Java and Spring (Spring MVC, Spring Batch). Expert-level ReactJS with 4+ years building SPAs and reusable component libraries. Proficiency in HTML5, CSS3, JavaScript, jQuery, Node.js. Strong experience creating and consuming REST APIs (JAX-RS, Swagger, YAML). Working knowledge of SQL and RDBMS, preferably SQL Server. JUnit test development and familiarity with CI/CD practices. Basic knowledge of XML, JSON, and schema processing technologies. Preferred Skills: Experience with Agile frameworks such as Scrum, SAFe, or Lean Agile. Source control with Git, Bitbucket, or SVN. Build tools including Maven and Ant. CI/CD and automation tools such as Jenkins and Ansible Tower. IDEs and editors such as IntelliJ IDEA, Eclipse, WebStorm, Atom, Notepad , Sublime Text, or Web Matrix. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
08/05/2026
Full time
Job Title: Senior Full Stack Java Developer (React) Location: Newark, DE / Charlotte, NC Onsite required Duration: Contract - 11 months Pay Range: $65.05/hr (W2) Job ID: 406720 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Full Stack Developer (Java + ReactJS) to join our dynamic team supporting the Workforce Management Portal. The ideal candidate will have strong experience in Java, Spring, and modern front-end development with ReactJS and a proven ability to design, build, and deliver scalable, high-performance, and secure web applications. Responsibilities: Design, develop, and maintain full stack web applications using Java, Spring, and ReactJS. Build reusable, testable UI components and Single Page Applications. Develop RESTful APIs and integrate front-end components with back-end services. Write unit tests with JUnit and ensure code quality through reviews and automation. Collaborate within Agile teams to refine requirements and deliver increments. Troubleshoot, optimize, and enhance performance, security, and maintainability. Required Skills & Qualifications: 10+ years of relevant IT development experience. 6+ years hands-on web development with Java and Spring (Spring MVC, Spring Batch). Expert-level ReactJS with 4+ years building SPAs and reusable component libraries. Proficiency in HTML5, CSS3, JavaScript, jQuery, Node.js. Strong experience creating and consuming REST APIs (JAX-RS, Swagger, YAML). Working knowledge of SQL and RDBMS, preferably SQL Server. JUnit test development and familiarity with CI/CD practices. Basic knowledge of XML, JSON, and schema processing technologies. Preferred Skills: Experience with Agile frameworks such as Scrum, SAFe, or Lean Agile. Source control with Git, Bitbucket, or SVN. Build tools including Maven and Ant. CI/CD and automation tools such as Jenkins and Ansible Tower. IDEs and editors such as IntelliJ IDEA, Eclipse, WebStorm, Atom, Notepad , Sublime Text, or Web Matrix. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.