Python & Java Full Stack Developer

Jabil Inc.; Oregon; Hybrid; USD 100,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

401K Match

Stock Purchase Plan

Paid Time Off

Tuition Reimbursement

Life Insurance

Commuter Benefits

Job summary

Jabil is seeking a Python & Java Full Stack Developer (AI-Capabilities) to design and build AI-assisted platforms for manufacturing tests and automation. You will own end-to-end features from cloud infrastructure and backend services to an Angular frontend, working with agentic LLM workflows and AWS Bedrock.

Responsibilities include designing robust backends in Python and Java, implementing IaC with AWS CDK, ensuring correctness with tests and observability, and collaborating across teams to

Qualifications

• 10+ years of software development experience in enterprise environments.
• Strong backend development in Python/Java with REST and event-driven architectures.
• Hands-on with AWS, IaC, and CI/CD pipelines.

Responsibilities

• Design, build, and ship end-to-end features across the full stack (AWS, Python, Java, Angular).
• Develop and evolve agentic AI workflows and tooling; ensure correctness and observability.

Skills

Python

Java

Full stack development

Angular

REST APIs

CI/CD

LLM integration

Testing

Education

BS in Computer Engineering or CS

MS preferred

Tools

AWS CDK

OpenSearch

DynamoDB

SQS

Spring Boot

Quarkus

Amazon Bedrock

Job description

At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe.

How will you make an impact?

As the Python & Java Full Stack Developer, you will build AI-assisted platforms for manufacturing tests and debug automation software with direct, real-world consequences on the factory floor. You will own end-to-end features across event-driven platforms, from cloud infrastructure and backend microservices, up through an agentic LLM pipeline, out to a modern web frontend. LLMs are a core building block of what we build, and AI coding agents are a core part of how we build it but we treat them as power tools operated by strong engineers, not autopilots. This role requires someone who can define work with precision, critically evaluate agent-generated output, and write code themselves when needed. As the Python & Java Full Stack Developer (AI-Capabilities), you are equally comfortable writing a Python Lambda handler, designing an agent tool, building a Java microservice, defining infrastructure as code, tuning a message-bus consumer, and building an Angular component with an AI agent working alongside you.

How We Work with AI

We use AI coding agents Claude, Kiro, and similar agentic IDEs/CLIs (we use Kiro) but as power tools in the hands of engineers who could do the work without them. We are seeking a passionate developer who has experienced building without AI, understands its capabilities and limitations, and knows when to rely on AI versus writing code themselves. The challenge isn’t generating code. It’s defining requirements precisely and rigorously validating the output. Engineering Fundamentals: You can read, debug, and correct generated code as readily as you can produce it, and you can justify an architecture decision independent of what any tool suggested.

Spec-Driven Development

Decompose features into clear requirements, design, and task breakdowns that both humans and agents execute against, treating the spec as the source of truth and iterating on it.

Skills and Powers

Author and use reusable agent capabilities (skills, steering docs, custom tools/MCP integrations, project conventions) to encode team standards and make agents productive in a large codebase.

Prompt and Context Engineering

Give agents the right context (conventions, contracts, constraints) and validate their output rather than trusting it blindly.

Correctness Discipline

Pair agent velocity with strong testing, review, and observability so fast-moving changes stay safe in production.

What will you do?

Design, build, and ship feature end-to‑end across the full stack AWS infrastructure, Python and Java backend services, agentic LLM workflows, and the Angular frontend for a system serving manufacturing across multiple sites. Build and evolve agentic AI workflows on Amazon Bedrock. (LLM reasoning + embeddings): tool/function calling, RAG, prompts, validation loops, and fallback strategies that stay correct and observable under production load.

Own backend services across two ecosystems

Python serverless (Lambda, event-driven) and Java microservices (Spring Boot/Quarkus) with REST and event-driven APIs, persistence, async pipelines, and message‑bus integrations. Care for idempotency, retries, and dead‑letter handling throughout.

Define and evolve infrastructure as code (AWS CDK) across multi‑stack deployments with cross‑stack references

Treat published API surfaces as backwards‑compatibility contracts, using shared interface/schema libraries consumed across services and clients. Develop retrieval and scoring logic: log chunking, embeddings, vector/semantic search in OpenSearch, and relevance ranking.

Instrument with CloudWatch dashboards, alarms, tracing, structured diagnostic events and own CI/CD on Azure DevOps with gated, reversible rollouts

Contribute to shared foundational code with wide blast radius, keeping changes narrow and well‑tested.

How will you get here?

Python

Modern typing, async patterns, data validation (e.g., Pydantic), clean error handling, and a codebase‑scale sense of structure.

Backend Engineering in Java

Deep experience with Spring Boot and/or Quarkus, clean architecture, and idiomatic use of the type system. Production AWS serverless and cloud experience across the stack: Compute Lambda ECS Fargate

Data & Messaging

DynamoDB S3 SQS OpenSearch

Networking

VPC VPC Endpoints API Gateway (Private)

Eventing & Scheduling

EventBridge

Security & Identity

IAM IAM Roles Anywhere (trust anchor, cross‑environment access)

AIAmazon Bedrock

Amazon Bedrock

Ops & Config

CloudWatch (alarms + dashboards) SSM Parameter Store ECR assets

Persistence Expertise

JPA / Hibernate JDBC transaction management NoSQL data modeling (DynamoDB access patterns), and relational database design, management, and query optimization

API Design

Production REST services; comfortable with versioning and backwards‑compatibility.

Modern Concurrency

Java virtual threads (Project Loom) and reasoning clearly about concurrency correctness.

Microservices & Event‑Driven Architecture

Designing and operating microservices with a message bus (NATS.io, Kafka, SQS, or similar), including idempotency, retries, and failure handling.

Hands‑on LLM/agent Development

Building applications with LLMs (function calling, prompt design, RAG, embeddings) and evaluating output quality. You understand that specifying and validating agent behavior is the hard part.

AI‑assisted development Practice

Daily, judicious use of AI coding agents (Claude, Kiro, etc.), spec‑driven workflows, and reusable agent skills/powers, paired with the fundamentals to review their output critically.

Frontend Development in Angular

Building and maintaining a modern web UI (Angular/TypeScript) that consumes these APIs.

Testing Discipline

Unit, integration, and mocking as a first‑class part of shipping.

Containerization & Orchestration

Docker and Docker Swarm Kubernetes

Cloud‑Native Workflow

Git Azure DevOps pipelines and code review in a sizable multi‑repo codebase

Deployment Strategies

Blue/green, canary, gated rollout, and rollback

Observability, Security & Analytics

Structured logging, tracing, metrics; secure coding and auth fundamentals; and building/consuming analytics on operational data.

Education

BS degree in Computer Engineering, Computer Science or related field MS preferred

Experience

10+ years’ experience in a software development capacity with enterprise server, storage or networking products.

Travel Requirements

Requires 10-15% domestic and international travel to Jabil offices and operational sites, primarily located in Austin, TX, and Florence, KY.

What Can Jabil Offer You?

Along with growth, stability, and the opportunity to be challenged, Jabil offers a competitive benefits package that includes: Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options401K MatchEmployee Stock Purchase PlanPaid Time OffTuition ReimbursementLife, AD&D, and Disability InsuranceCommuter BenefitsEmployee Assistance ProgramPet InsuranceAdoption AssistanceAnnual Merit IncreasesCommunity Volunteer Opportunities

Salary

The pay range for this role is $100,100 - $180,200.

Close Date

The anticipated close date of this job requisition is: November 15, 2026.

EEO

Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law.

Accessibility Accommodation

If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Jabil.com/Careers site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to or calling with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail or phone number. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.

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