Top 21 Container models chatgpt aws cloud Jobs

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Senior Software Engineer
Innovative Defense Technologies —Mount Laurel, NJ
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- Computer science
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4d
Cybersecurity Engineer
Visa U.S.A. Inc. —Austin, TX
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Principal Architect Product Security
JetBlue Airways Corporation —Long Island City, NY
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LightEdge —Kansas City, MO
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Network Engineer- WAN (Sr. Consultant level)
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Forward Deployed Engineer
Arcade —United States
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Nuuly Senior Software Engineer

Nuuly -
Remote

Apply Now

Job Details

Full-time

Benefits

Health insurance
Dental insurance
Paid time off
Vision insurance
Employee discount

Qualifications

AI models
Containerization systems
Data model design
AI use case identification
Systems integration
Software engineering
Engineering development testing
Improving system uptime or availability
System design
NoSQL
Integration Architecture Design (Architecture design skills)
Scalable systems
Schema design
Prompt engineering
Microservices
Integration architecture
Query execution time improvement
Cloud Native Design
Leading team collaboration initiatives
Developing and maintaining backend systems
Distributed computing
AI-driven automation
Stream Processing
Query management
Design (software development lifecycle)
Cross-functional communication
Web services design

Full Job Description

Role Summary:

Nuuly is hiring a Senior Software Engineer to join our Technology team. Building performant scalable cloud service environments is hard. Nuuly knows this firsthand, having built a cloud-based microservices platform from the ground up to power our online customer experience and drive the logistics and processing of our garment distribution centers. We're looking for a Senior Engineer with the initiative and expertise to help mature this platform into a stable, scalable, and robust backbone for launching the next wave of Nuuly innovations.

You'll need strong experience designing and building microservices backed by relational and non-relational databases. Solid confidence with JVM-based tools such as Kotlin, Spring, and data persistence with Postgres and other database technologies. You’ll also need a reasonable amount of aptitude in designing and integrating Kubernetes services with cloud-based platform APIs such as Google Cloud Platform (GCP), AWS, or Azure focused on driving toward zero-downtime deployments.

As a Senior Engineer, you'll bring experience that extends beyond personal code contribution: leading design for moderately complex features, driving communication between teams, providing critical feedback, coordinating with others, and providing mentorship as needed. You'll participate in incident response and post-mortem processes to improve system reliability. You should be adept at picking up new technologies and patterns and comfortable discussing and debating the pros and cons of various approaches. Most of all, you should be ready and willing to tackle new challenges with a supportive team of creative and hard-working professionals.

Role Responsibilities:

Producing architectural proposals and engaging in discussions and decision-making for new features and platform evolution
Collaborating with the product team to design solutions for stakeholder features and inform product decisions through technical feasibility analysis
Mentoring junior engineers through code review, pair programming, and design discussions
Delivering the whole lifecycle of deployable features: design, code, testing, configuration, documentation, deployment, and support
Contributing to operational guidelines, system reliability practices, and post-mortem analysis for production incidents
Teaching and enforcing development methodologies while proactively identifying improvement opportunities in codebase, tooling, and processes
Collaborating with QA and Platform Engineering teams to test code and keep our integrated testing environments unblocked
Providing technical guidance to cross-functional teams on integration approaches and system constraints to deliver features and evolve our architecture

Role Qualifications:

5-7 years of software engineering experience with ~2 years of senior-level responsibilities such as taking ownership of designs or projects and working to coordinate work across teams
Operational knowledge of one or more server-side object-oriented programming languages (Java, Kotlin, Scala, or other JVM languages preferred; Python, Go, Node/TypeScript also considered)
Able to talk comfortably about microservices architecture, distributed system design, streaming data, messaging technologies, and database design patterns
Experience and enthusiasm for testing, test-driven development, and building reliable systems
Proficient with leveraging AI tools in day-to-day development tasks such as code generation, debugging, and documentation
Able to hit the ground running and quickly familiarize yourself with an existing codebase and toolset
Able to propose and walk through solutions in technical leadership discussions and communicate effectively across functional teams
Operational knowledge of Java, Kotlin, Scala, or other JVM languages (Python, Go, Node/TypeScript also considered)
Strong experience designing, building, and operating microservices architectures; expertise with RESTful APIs, HTTP protocols, and service integration patterns
Experience with Google Cloud Platform (GCP) or other major cloud providers (AWS, Azure); knowledge of container technologies (Docker, Kubernetes)
Hands-on experience with relational databases (Postgres, AlloyDB) and understanding of data modeling, query optimization, and schema evolution.
Understanding of distributed system design patterns, consistency models, and trade-offs in microservices architectures (e.g., Kafka, Spark, Storm , etc.)

AI/LLM Proficiency:

Practical experience using Large Language Models (ChatGPT, Claude, Cursor, Windsurf, Copilot etc.) for work tasks
Understanding of prompt engineering and how to provide effective context to AI tools
Familiarity with structured AI guidance methods (system prompts, rules files, agent configurations)
Knowledge of AI tool integration concepts (MCP, connectors, agentic workflows)
Ability to identify opportunities where AI can drive efficiency improvements

The Perks:

URBN offers comprehensive Perks & Benefits to employees. Availability and eligibility to specific benefits may be subject to your location and employment status. Benefits include medical, dental, vision, PTO, generous employee discounts, retirement savings and much more! For additional information visit www.urbn.com/work-with-us/benefits

EEO Statement:

URBN celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, sex (including gender, pregnancy, sexual orientation, and gender identity or expression), religion, creed, age, physical or mental disability, national origin or ancestry, ethnicity, citizenship, service in the uniformed services, genetic information, or any other protected characteristic as established by law. We believe strongly in fostering a safe, fair and respectful work environment. To ensure compliance with our non-discrimination and anti-harassment policies, we offer anti-harassment training to managers and employees.

Apply Now

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container models chatgpt aws cloud jobs

Nuuly Senior Software Engineer

Senior Customer Engineer

Staff Customer Engineer

Senior Machine Learning Engineer

Lead Forward Deployed Engineer

Lead Software Engineer II, AI Operations

AI Platform Engineer

Senior AI Penetration Tester (New York)

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Senior Software Engineer

Cybersecurity Engineer

Lead Forward Deployed Engineer

Principal Architect Product Security

Sr. AI Integration Engineer

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Network Engineer- WAN (Sr. Consultant level)

Forward Deployed Engineer

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