Distinguished Engineer -Developer Insights & AI Telemetry

Vision & Strategy

Vision & Strategy: Architect the long-term enterprise roadmap for distributed AI telemetry, streaming data engineering, and automated developer insight frameworks.

Enterprise Scaling & Telemetry

Enterprise Scaling & Telemetry: Lead the technical evolution of our internal developer telemetry platform from a high-performance Agent Hook Architecture into a stateless, low-latency utility capable of handling billions of annual high-fidelity events across global regions.

ML/AI & Intelligence Layer

ML/AI & Intelligence Layer: Spearhead the deployment of advanced inference capabilities, including LLM-as-a-Judge models, to autonomously score code complexity, categorize AI use cases (e.g., Core Logic vs. Testing), and calculate the TrueThroughput and return on investment (ROI) of generative AI tools.

Data Engineering & Architecture

Data Engineering & Architecture: Own the end-to-end data strategy, shifting from traditional batch reporting to real-time event-driven architectures utilizing a scalable Medallion (Bronze/Silver/Gold) data structure feeding directly into our enterprise data lake.

Business Metric Correlation

Business Metric Correlation: Partner with Bank Tech Analytics to link AI code density data and telemetry directly with core business outcomes—such as lowering Feature Lead Time (FLT) and PR cycle time—without compromising quality and risk bars.

Risk & Privacy Governance

Risk & Privacy Governance: Design and enforce rigorous privacy-by-design principles, implementing automated PII masking, token management, and secret filtering to guarantee a completely safe space for engineering innovation.

Culture & Technical Contribution

Culture & Technical Contribution: Lead through direct technical contribution—prototyping systems, evaluating build vs. buy paths, authoring code patterns, and deeply mentoring principal and senior engineers across the Developer Enablement tower.

Qualifications

• Bachelor’s Degree.
• At least 7 years of experience in software engineering, solution architecture, or enterprise architecture.
• At least 5 years of experience with big data engineering, distributed computing, or data architecture (e.g., Spark, Kafka, Kinesis, ClickHouse, Snowflake, or cloud data warehouses).
• At least 3 years of experience with Big Data and data streaming.
• At least 4 years of experience building and optimizing production-grade ML/AI lifecycles, pipelines, or frameworks.
• At least 2 years of cloud computing experience (AWS, Microsoft Azure, or Google Cloud).

Preferred Qualifications

• Master’s Degree in Computer Science, Information Systems, Data Engineering, or a related engineering discipline.
• 10+ years of professional experience coding in commonly used languages like Python, Go, Java, or TypeScript.
• 6+ years of experience designing and managing high-throughput distributed streaming architectures or edge collection telemetry platforms (e.g., OpenTelemetry, Protobuf interception hooks).
• 3+ years of experience in a technical leadership role directly influencing VP/SVP/Executive stakeholders on multi-million dollar technology or AI strategy initiatives.
• Deep understanding of compliance, data privacy, and cybersecurity constraints within a highly regulated environment (BankTech), including experience co-authoring risk assessments alongside Cyber and Risk teams.
• Proven track record of operating within a product-centric organization (Domain Category Owner/Technical Product Owner model), delivering tactical values in continuous validation cycles.
• Experience utilizing advanced engineering metrics (DORA, SPACE, AI Telemetry, Feature Lead Time) to demonstrate how developer tool investments translate into measurable corporate velocity and efficiency gains.

Pay

Salaries for Distinguished Engineer positions vary by location:

• McLean, VA: $269,100 - $307,200
• New York, NY: $293,600 - $335,100
• Richmond, VA: $244,700 - $279,200
• Wilmington, DE: $244,700 - $279,200

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.

Schedule

This role is full-time.

Benefits

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.

Equal Opportunity Employer

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 4901-4920; 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.