Java Backend Lead Software Engineer Kafka AWS

JPMorganChase

Fairfax (DE)

In loco

USD 140.000 - 180.000

Tempo pieno

3 giorni fa
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Descrizione del lavoro

JPMorgan Chase is seeking a Backend Lead Software Engineer specialized in Kafka and AWS within Consumer and Community Banking. You will be a core technical contributor shaping scalable, secure systems and driving AI-assisted engineering practices.

You'll lead design discussions, mentor engineers, and collaborate across teams to deliver high-volume data processing and reliable microservices in a distributed cloud environment.

Competenze

  • 5+ years of software engineering experience.
  • Experience delivering system design, application development, testing, and operational stability.
  • Cloud platforms experience (AWS/Azure/GCP) and distributed systems.
  • Experience leading AI-assisted development tools and practices.
  • Ability to drive architecture decisions and stakeholder alignment.
  • Experience building and operating high-volume data processing pipelines.

Mansioni

  • Executes creative software solutions and complex problem solving across teams.
  • Develops secure production code and reviews others' code.
  • Drives adoption of AI-assisted engineering practices for code quality and delivery speed.
  • Applies SDLC tools to improve automation and value.
  • Leads design reviews with vendors and internal teams on architecture.

Conoscenze

Java
Springboot
Node.js
REST APIs
WebSockets
JSON
AWS
Azure
GCP
Distributed systems
Microservices
AI-assisted development
SLOs/SLAs
On-call

Strumenti

Kafka
Spark
Flink
SQL
NoSQL

Descrizione del lavoro

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a ava Backend Lead Software Engineer Kafka AWS at JPMorgan Chase within the Consumer and Community Banking, youare 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • 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.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Proficiency in back-end technologies (e.g., Java, Springboot, Node.js ) with experience building microservices-based applications; for full-stack roles, proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular)
  • Demonstrated ability to independently solve design and functionality challenges with minimal supervision
  • Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON
  • Hands-on experience designing and building scalable applications using SQL and NoSQL databases
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices
  • Led design and delivery ofKafka-based event streamingplatforms/services inhigh-throughput (high TPS)environments; deep experience withevent-driven architecturepatterns and distributed systems reliability
  • Proven ability tolead technical direction: drive architecture decisions, write/own design docs, align stakeholders, and deliver through ambiguity
  • Experience improvingoperability(SLOs/SLAs, on-call readiness, monitoring, incident response, postmortems) for streaming systems
Preferred qualifications, capabilities, and skills
  • Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management
  • Strong problem-solving, analytical, and communication skills
  • Ability to drive broader impact by sharing and contributing best practices
  • AWS certification
  • Experience building and operatinghigh-volume data processing pipelinesusingApache Spark (Spark SQL, Structured Streaming)and/orApache Flink(DataStream/Table API) in production.
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