Bulge Bracket Investment Banks

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**Senior Lead Software Engineer (AWS, Terraform) - Jersey City, NJ** Lead agile teams, drive business impact, and enhance JPMorgan Chase's cloud platforms. Key responsibilities include providing technical guidance, driving product decisions, and ensuring code quality. Must-have skills: AWS Services (focus on databases), cloud security, infrastructure as code (Terraform), Python proficiency, and experience in modern scripting languages. Drive AI-assisted engineering practices, lead team culture, and influence peers in adopting cutting-edge technologies. Requires 5+ years of software engineering experience, AWS and Terraform certifications preferred.

Compensation: Not specified
City: Not specified
Country: United States

Full Job Description

Location: Jersey City, NJ, United States

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

Enterprise Technology Infrastrure Platforms Cloud Fondational Services, 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. 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.

Job responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives decisions that influence the product design, application functionality, and technical operations and processes
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.
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.
Serves as a function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Experience developing and designing software using AWS Services specially Database products
Experience in cloud security, Governance, Identity & access management
Hands-on practical experience delivering system design, application development, testing, and operational stability
Proficient in all aspects of coding with modern scripting languages and infrastructure as code practices
Expertise in Python and Terraform is a must
Hands on experience with delivering and supporting large scale AWS production workload infrastructure
Advanced understanding of AWS services for Traditional Compute, Containerization, and Serverless architectures
Proficient in automation and continuous delivery methods
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.

Preferred qualifications, capabilities, and skills

Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
At least one of the AWS Certifications - Solution Architect Profession, Developer and/or Data Engineer
Terraform Certified Associate Certification
Expert level experience in developmental toolsets including Jira, BitBucket, Github and Confluence
Experience leading technology projects

Hiring AWS & Terraform experts to build AI-ready pipelines, secure cloud platforms, and scale with Python.

Full Job Description

Location: Jersey City, NJ, United States

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives decisions that influence the product design, application functionality, and technical operations and processes
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.
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.
Serves as a function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Experience developing and designing software using AWS Services specially Database products
Experience in cloud security, Governance, Identity & access management
Hands-on practical experience delivering system design, application development, testing, and operational stability
Proficient in all aspects of coding with modern scripting languages and infrastructure as code practices
Expertise in Python and Terraform is a must
Hands on experience with delivering and supporting large scale AWS production workload infrastructure
Advanced understanding of AWS services for Traditional Compute, Containerization, and Serverless architectures
Proficient in automation and continuous delivery methods
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.

Preferred qualifications, capabilities, and skills

Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
At least one of the AWS Certifications - Solution Architect Profession, Developer and/or Data Engineer
Terraform Certified Associate Certification
Expert level experience in developmental toolsets including Jira, BitBucket, Github and Confluence
Experience leading technology projects

Hiring AWS & Terraform experts to build AI-ready pipelines, secure cloud platforms, and scale with Python.

Sr Lead Software Engineer - AWS, Terraform

Full Job Description

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