Full Stack Lead Developer

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jabil

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1966

🚘 Automotive

🎖️ Defense

🏥 Healthcare

Automotive • Defense • Healthcare

Jabil is a leading business-to-business (B2B) company providing engineering, manufacturing, supply chain, and design services. With over 50 years of experience, Jabil partners with some of the world's top brands to deliver both scalable and customized solutions. The company operates over 100 locations globally, emphasizing sustainability and community involvement as part of its core values. Jabil is committed to supporting its workforce with diverse and inclusive opportunities and fostering professional growth and innovation. The company is recognized globally for its excellence and commitment to minimizing environmental impact while building vibrant communities.

📋 Description

• Design, build, and deploy full-stack artificial intelligence applications • Connect backend AI services with responsive, user-friendly frontends • Integrate LLMs, local model pipelines, vector databases, and multi-agent orchestration frameworks into production systems • Architect, query, and optimize relational databases for high-performance data retrieval and storage • Develop asynchronous backend services, RESTful APIs, and data ingestion pipelines using Python • Build responsive user interfaces and real-time operational dashboards for human-AI interaction and telemetry visualization • Package applications with Docker and manage deployment, scaling, and cluster coordination with Kubernetes • Provision, configure, and optimize AWS cloud resources and GPU clusters • Operate Linux systems using shell utilities, system monitoring, and performance tuning • Mentor, train, and guide junior developers and team members • Communicate technical concepts to stakeholders and conduct live end-to-end software and AI demonstrations • Debug issues, optimize latency, automate testing, and ensure high reliability • Evaluate, prototype, and integrate emerging open-source AI tools, frameworks, and model updates

🎯 Requirements

• Advanced Python development experience • AWS cloud infrastructure experience • Enterprise Linux administration experience • Expertise in Docker containerization • Expertise in Kubernetes orchestration for large-scale enterprise deployments • Proven ability to build and deploy modern AI solutions, including multi-agent systems and RAG • Experience with Large Language Models (LLMs), local model pipelines, vector databases, and multi-agent orchestration frameworks • Experience architecting, querying, and optimizing relational databases; PostgreSQL preferred • Advanced SQL, multi-table joins, cursors, and stored procedures • Experience developing asynchronous backend services, RESTful APIs, and data ingestion pipelines using Python • Experience with modern web frameworks for responsive user interfaces and real-time dashboards • Experience provisioning and optimizing AWS resources and GPU clusters • Experience operating in Linux environments, including shell utilities, system monitoring, and performance tuning • Background in Lean Six Sigma and other quality tools • Ability to communicate technical concepts to internal and external stakeholders and conduct live demonstrations

🏖️ Benefits

• Equal opportunity employer • Reasonable accommodation for qualified individuals with disabilities