Full-stack Engineer 4 (Distributed data & AWS) (Cloud Operations Resilience Engineering)
for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must only include sections when posting has real specific content. We have content: description (intro) could be About the role. Then "What You’ll Do:" is Responsibilities. Then "Basic Qualifications:" and "Preferred Qualifications:" could be Requirements/Qualifications. Also "Skills" maybe from languages etc. Benefits: mention performance based incentive compensation and comprehensive benefits. Pay: salary ranges listed. Schedule: not mentioned (maybe full-time implied but not explicit). So we should not include Schedule section. Also we should not repeat job title as heading. Also we should not include metadata like Job ID. Remove boilerplate: EEO, immigration note, etc. We need to preserve all substantive info, but we can drop the immigration note? It says "At this time, Capital One will not sponsor a new applicant..." That's substantive? It's about work authorization. Might be considered boilerplate? It's specific to the role. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The immigration note might be considered legal? It's about work authorization, maybe keep? It's not EEO but it's about sponsorship. Might be considered legal. Safer to drop? The instruction says remove legal boilerplate. Immigration note is legal. So drop. Also drop the equal opportunity employer lines, drug-free workplace, criminal history, accommodation contact, etc. Also drop the note about Capital One entities. Also drop the "Learn more at the Capital One Careers website." etc. Also drop "This role is expected to accept applications for a minimum of 5 business days. No agencies please." That's application instructions, drop. Also drop "Capital One does not provide, endorse nor guarantee..." etc. Also drop the final paragraph about entities.
We need to keep substantive: intro paragraphs, What You’ll Do list, Basic Qualifications, Preferred Qualifications, salary ranges, performance based incentive compensation, benefits statement.
We need to format: Use for each section heading. Use - for any list of duties/requirements/benefits. Use
for prose.
We need to decide sections: About the role (intro). Responsibilities (What You’ll Do). Requirements (maybe combine Basic and Preferred? Could separate Requirements and Qualifications? The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can have Requirements for basic qualifications, Qualifications for preferred? Or Skills for tech stack. Let's think: The posting includes "Basic Qualifications:" and "Preferred Qualifications:" plus list of technologies used. Could map: Requirements = Basic Qualifications, Qualifications = Preferred Qualifications, Skills = programming languages, tools etc. Benefits = performance based incentive compensation + comprehensive benefits. Pay = salary ranges.
We must not create sections with filler. Ensure each section has substantive content.
Let's extract content.
Intro paragraphs:
"Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. The Cloud Operations Resilience Engineering (CORE) Technology division is responsible for enabling and evolving Capital One’s foundational cloud infrastructure layer, including observability, connectivity, resilience and availability."
That's About the role.
Responsibilities (What You’ll Do):
List items:
- Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
- Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence
- Partner with architects to define service boundaries, integration patterns, and reusable frameworks
- Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance
- Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment
Note: Some items overlap with skills; but we keep as responsibilities.
Requirements (Basic Qualifications):
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 4 years of experience in software engineering (Internship experience does not apply)
- At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies
Qualifications (Preferred Qualifications):
- Master’s Degree in Computer Science or a related quantitative field.
- 7+ years of experience coding with two or more of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, or Scala.
- 4+ years of experience creating synchronous and asynchronous APIs.
- 4+ years of experience with public cloud platforms (AWS, Microsoft Azure, Google Cloud), including cloud-based productivity tools, virtualization, and troubleshooting technical issues.
- 4+ years of experience with distributed data/computing tools (e.g., MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
- 4+ years of experience building real-time data and streaming applications.
- 3+ years of experience with database design and database management systems (DBMS).
- 4+ years of experience using and contributing to open-source frameworks.
- 3+ years of experience with CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
- 3+ years of experience using Git-based version control systems (e.g., Git, GitHub, Bitbucket).
- 1+ years of experience leveraging observability platforms to identify and optimize performance bottlenecks in distributed systems.
- 1+ years of experience mentoring engineers and driving professional development within technical teams.
- Experience leveraging modern, interactive AI tooling, IDE copilots, and AI-based coding assistants to accelerate productivity beyond basic code completion.
- Experience leading cross-functional engineering efforts or large-scale technical initiatives.
- Experience establishing and enforcing coding standards and design patterns across engineering teams.
Skills: Could list programming languages, tools, etc. But many already in responsibilities and qualifications. Might be redundant. Could create a Skills section summarizing: Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, Open Source RDBMS, NoSQL, Docker, Kubernetes, AWS tools/services, etc. But we already have them in responsibilities. Might be okay to not have Skills section if it's duplicate. The instruction: prefer a few substantive sections over many thin ones. So we could omit Skills if content already covered. But we need to include sections only when posting has real specific content. The posting does mention specific tech stack; we could put that under Skills. However responsibilities already list them. To avoid duplication, maybe we put them under Skills and keep responsibilities more about duties (leadership, collaboration). But responsibilities list includes utilization of languages etc. Might be okay to keep both but risk duplication. The instruction says preserve ALL substantive information; do NOT invent or summarize away detail. Duplication is okay as long as we preserve. But we should avoid creating thin sections. Skills section would be thin if just a list; but we could combine with Responsibilities? Better to keep Responsibilities as is (includes tech usage). Then we could omit Skills.
Benefits: "Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being." Also "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."
We can combine into Benefits section.
Pay: Salary ranges per location.
We need to output HTML fragment only.
Let's craft:
About the role
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. The Cloud Operations Resilience Engineering (CORE) Technology division is responsible for enabling and evolving Capital One’s foundational cloud infrastructure layer, including observability, connectivity, resilience and availability.
Responsibilities
- Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
- Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence
- Partner with architects to define service boundaries, integration patterns, and reusable frameworks
- Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance
- Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment
Requirements
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 4 years of experience in software engineering (Internship experience does not apply)
- At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies
Qualifications
- Master’s Degree in Computer Science or a related quantitative field.
- 7+ years of experience coding with two or more of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, or Scala.
- 4+ years of experience creating synchronous and asynchronous APIs.
- 4+ years of experience with public cloud platforms (AWS, Microsoft Azure, Google Cloud), including cloud-based productivity tools, virtualization, and troubleshooting technical issues.
- 4+ years of experience with distributed data/computing tools (e.g., MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
- 4+ years of experience building real-time data and streaming applications.
- 3+ years of experience with database
- for any list of duties/requirements/benefits. Use
for prose. We need to decide sections: About the role (intro). Responsibilities (What You’ll Do). Requirements (maybe combine Basic and Preferred? Could separate Requirements and Qualifications? The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can have Requirements for basic qualifications, Qualifications for preferred? Or Skills for tech stack. Let's think: The posting includes "Basic Qualifications:" and "Preferred Qualifications:" plus list of technologies used. Could map: Requirements = Basic Qualifications, Qualifications = Preferred Qualifications, Skills = programming languages, tools etc. Benefits = performance based incentive compensation + comprehensive benefits. Pay = salary ranges. We must not create sections with filler. Ensure each section has substantive content. Let's extract content. Intro paragraphs: "Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. The Cloud Operations Resilience Engineering (CORE) Technology division is responsible for enabling and evolving Capital One’s foundational cloud infrastructure layer, including observability, connectivity, resilience and availability." That's About the role. Responsibilities (What You’ll Do): List items: - Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company - Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community - Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment - Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services - Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence - Partner with architects to define service boundaries, integration patterns, and reusable frameworks - Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance - Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment Note: Some items overlap with skills; but we keep as responsibilities. Requirements (Basic Qualifications): - Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) - At least 4 years of experience in software engineering (Internship experience does not apply) - At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies Qualifications (Preferred Qualifications): - Master’s Degree in Computer Science or a related quantitative field. - 7+ years of experience coding with two or more of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, or Scala. - 4+ years of experience creating synchronous and asynchronous APIs. - 4+ years of experience with public cloud platforms (AWS, Microsoft Azure, Google Cloud), including cloud-based productivity tools, virtualization, and troubleshooting technical issues. - 4+ years of experience with distributed data/computing tools (e.g., MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL). - 4+ years of experience building real-time data and streaming applications. - 3+ years of experience with database design and database management systems (DBMS). - 4+ years of experience using and contributing to open-source frameworks. - 3+ years of experience with CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks. - 3+ years of experience using Git-based version control systems (e.g., Git, GitHub, Bitbucket). - 1+ years of experience leveraging observability platforms to identify and optimize performance bottlenecks in distributed systems. - 1+ years of experience mentoring engineers and driving professional development within technical teams. - Experience leveraging modern, interactive AI tooling, IDE copilots, and AI-based coding assistants to accelerate productivity beyond basic code completion. - Experience leading cross-functional engineering efforts or large-scale technical initiatives. - Experience establishing and enforcing coding standards and design patterns across engineering teams. Skills: Could list programming languages, tools, etc. But many already in responsibilities and qualifications. Might be redundant. Could create a Skills section summarizing: Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, Open Source RDBMS, NoSQL, Docker, Kubernetes, AWS tools/services, etc. But we already have them in responsibilities. Might be okay to not have Skills section if it's duplicate. The instruction: prefer a few substantive sections over many thin ones. So we could omit Skills if content already covered. But we need to include sections only when posting has real specific content. The posting does mention specific tech stack; we could put that under Skills. However responsibilities already list them. To avoid duplication, maybe we put them under Skills and keep responsibilities more about duties (leadership, collaboration). But responsibilities list includes utilization of languages etc. Might be okay to keep both but risk duplication. The instruction says preserve ALL substantive information; do NOT invent or summarize away detail. Duplication is okay as long as we preserve. But we should avoid creating thin sections. Skills section would be thin if just a list; but we could combine with Responsibilities? Better to keep Responsibilities as is (includes tech usage). Then we could omit Skills. Benefits: "Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being." Also "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." We can combine into Benefits section. Pay: Salary ranges per location. We need to output HTML fragment only. Let's craft:
About the role
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. The Cloud Operations Resilience Engineering (CORE) Technology division is responsible for enabling and evolving Capital One’s foundational cloud infrastructure layer, including observability, connectivity, resilience and availability.
Responsibilities
- Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
- Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence
- Partner with architects to define service boundaries, integration patterns, and reusable frameworks
- Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance
- Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment
Requirements
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 4 years of experience in software engineering (Internship experience does not apply)
- At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies
Qualifications
- Master’s Degree in Computer Science or a related quantitative field.
- 7+ years of experience coding with two or more of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, or Scala.
- 4+ years of experience creating synchronous and asynchronous APIs.
- 4+ years of experience with public cloud platforms (AWS, Microsoft Azure, Google Cloud), including cloud-based productivity tools, virtualization, and troubleshooting technical issues.
- 4+ years of experience with distributed data/computing tools (e.g., MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
- 4+ years of experience building real-time data and streaming applications.
- 3+ years of experience with database