Staff Engineer -Developer Insights & AI Telemetry
Key Responsibilities
Vision & Strategy: Architect the long-term enterprise roadmap for distributed AI telemetry, streaming data engineering, and automated developer insight frameworks.
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: 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: 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: 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: 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: 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.
Basic QualificationsBachelor’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 QualificationsMaster’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.
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.
McLean, VA: $269,100 - $307,200 for Distinguished Data EngineerNew York, NY: $293,600 - $335,100 for Distinguished Data Engineer
Plano, TX: $244,700 - $279,200 for Distinguished Data Engineer
Richmond, VA: $244,700 - $279,200 for Distinguished Data 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 theCapital 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.
