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Jobs · Engineering · New Jersey

Sr Lead Software Engineer - Java, Python, AI/ML

JPMorganChase · Jersey City, NJ · 1 mo ago
On-siteEngineeringFull-time
We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections if posting has real specific content. We need to parse the job description. Key content: - Job Description paragraph: "Be an integral part of an agile team..." etc. That's about the role. So we can have

About the role

with paragraphs. - Job Responsibilities: list of bullet points (multiple sentences). We'll need to extract each bullet as
  • . The responsibilities are a paragraph with multiple sentences separated by line breaks? Let's parse: "Job Responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendorsDevelops secure and high-quality production code, and reviews and debugs code written by othersLead a local team of software engineers and applied AI/ML practitioners, driving accountability and engagement within a global organization.Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.Architect, design, and develop secure, high-quality production software systems using Java or Python, integrating AI/ML techniques such as LLMs, Generative AI, and coding assistantsApplies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.Design experiments, implement algorithms, validate results, and productionize performant, scalable, and trustworthy AI/ML solutions.Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.Drives decisions that influence the product design, application functionality, and technical operations and processes" We need to split into separate responsibilities. Likely each sentence starting with a verb. Let's list: 1. Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors 2. Develops secure and high-quality production code, and reviews and debugs code written by others 3. Lead a local team of software engineers and applied AI/ML practitioners, driving accountability and engagement within a global organization. 4. Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. 5. Architect, design, and develop secure, high-quality production software systems using Java or Python, integrating AI/ML techniques such as LLMs, Generative AI, and coding assistants 6. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. 7. Design experiments, implement algorithms, validate results, and productionize performant, scalable, and trustworthy AI/ML solutions. 8. Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. 9. Drives decisions that influence the product design, application functionality, and technical operations and processes We'll output as
    • each. - Required, Qualifications, Capabilities, And Skills: This seems a combined section. We'll treat as Requirements/Qualifications/Skills. The posting includes "Required, Qualifications, Capabilities, And Skills" then bullet list. Let's extract bullet points: "Formal training or certification on software engineering concepts and 5+ years applied experience" "Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT)" "Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices, system design, application development, testing, and operational stability" "Experience integrating AI/ML techniques into software systems, including familiarity with LLMs, Generative AI, NLP, RAG, AI evals and coding assistants" "Hands-on practical experience delivering system design, application development, testing, and operational stability" "Advanced in Java and/or Python programming languages" "Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security" "Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls." "Good understanding of data structures, algorithms, and practical machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn)" "Hands-on practical experience delivering system design, application development, testing, and operational stability" "Ability to tackle design and functionality problems independently with little to no oversight" Note some duplicates: "Hands-on practical experience delivering system design, application development, testing, and operational stability" appears twice. We'll keep both? Probably we should keep as is but could deduplicate. The instruction: preserve ALL substantive information; do not invent or summarize away detail. Duplicates are part of posting; we should keep them. However they are identical lines; we could keep both but it's redundant. I'd keep both to preserve. - Preferred Qualifications, Capabilities, And Skills: bullet list: "Experience working at code level with advanced AI/ML business applications (e.g., LLMs, Generative AI, NLP)" "AWS Certifications (Solution Architect Associate or Professional) are advantageous" "In-depth knowledge of the financial services industry and their IT systems" - About US: paragraph about JPMorganChase, benefits etc. This could be "About the company" maybe not a required heading but we could include "About the company" or "About US". The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. It doesn't list About US but we could include "About the company" as a heading? Not in list but we could still use

      About the company

      maybe acceptable. However they said "use

      for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." The e.g. suggests those are examples, not exclusive. So we can add other headings like About the company. We'll include. But we also have "About The Team" section describing J.P. Morgan's Commercial & Investment Bank. That's also about the team. Could combine with About US or separate. We need to avoid boilerplate like EEO, equal opportunity, etc. Remove those lines. We also need to remove duplicated lines, cookie/navigation/legal/EEO etc. So we will strip the EEO paragraphs. We also need to not include Pay/Schedule/Benefits unless posting actually states them. The posting mentions benefits in About US: "We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process." Thus we have content about benefits and pay (base salary, commission-based pay, discretionary incentive compensation). So we can include Benefits and Pay sections. However we need to avoid filler like "commensurate with experience". The posting does give some specifics: base salary determined based on role, experience, skill set and location; commission-based pay and/or discretionary incentive compensation; benefits list. So we can include. Schedule: not mentioned. So we omit Schedule. We need to avoid repeating job title as heading. Not needed. We need to output only HTML fragment. Structure:

      About the role

      ... (the initial paragraph)

      Responsibilities

      • ...
        • ...

      Requirements

        ...
      Maybe combine Requirements and Qualifications? The instruction says we can have sections Requirements, Qualifications, Skills. Could split: Requirements (mandatory), Qualifications (preferred), Skills (maybe combined). But we have both Required, Qualifications, Capabilities, And Skills (mandatory) and Preferred Qualifications, Capabilities, And Skills (preferred). We could treat the first as Requirements and Qualifications (maybe combined) and the second as Preferred Qualifications. Or we could have Requirements (mandatory), Qualifications (preferred), Skills (maybe from both). However the instruction says prefer a few substantive sections over many thin ones. So we could have: - About the role - Responsibilities - Qualifications (combining mandatory and preferred) - Benefits - Pay But we need to preserve all info. If we combine mandatory and preferred into one Qualifications section, we need to differentiate? Could still list all bullets, maybe with headings inside? But we cannot add extra headings inside? We could just list all bullets; the distinction may be lost but still all info present. However the instruction says do not invent or summarize away detail. Combining may be okay as long as we keep all bullets. It doesn't require preserving the label "Required" vs "Preferred". So we can combine. Alternatively we could have two sections: Requirements (mandatory) and Preferred Qualifications. That's two sections, still fine. We also have Skills maybe not needed separate. We also have About the company/team. Could include About the company. Thus final sections: - About the role - Responsibilities - Requirements (mandatory) - Preferred Qualifications - About the company (or About US) - Benefits - Pay We need to ensure we don't include empty sections. Now extract About the role paragraph: The first paragraph before "Job Responsibilities". It is: "Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the the Commercial and Investment Bank's Engineering and Architecture Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will be a part of the AI For Technology team that works closely with other tech teams across the line of business to apply AI technique to Software Engineering, applying AI to the trade and accelerating them through the journey. This is grounded in Software Engineering and applying AI solutions instead of building AI models. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications." We'll put that in

      . Now Responsibilities list as above. Now Requirements (mandatory) list: the bullet points under "Required, Qualifications, Capabilities, And Skills". We'll output as

      • each. Now Preferred Qualifications list: bullet points under "Preferred Qualifications, Capabilities

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