1476 Kubernetes Devops jobs in Edison,NJ

Culinary Agents

Corporate Pastry Development Chef

Kwame Onwuachi Restaurant Group - NYC

New York, NY 10025

New, Posted 1 day ago

ZipRecruiter

Product Development/Merchandising Opportunities- ALL LEVELS!

Horizon Group USA

New Providence, NJ 07974

New, Posted 15 hours ago

Apply Directly

Sr. Software Development Engineer, Amazon Quick

Amazon.com Services LLC

New York, NY 10261

~ 48 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team

SmartExplore AI is experimental.

New, Posted 18 hours ago

Recommended

Apply Directly

Principal Quant Developer (MLOps)

Fidelity Investments

Elizabeth, NJ 07202

~ 27 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role.
Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role.
This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
Expert in Python with experience across the development stack (full stack)
Exposure to object-oriented programming (OOP) and design patterns
Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
Proven ability to construct and manage robust data pipelines and event-driven workflows
Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
Experience in containerization with Docker and orchestration with Kubernetes
Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
Awareness of responsible AI governance practices
Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
Demonstrated knowledge of mathematics, statistics, and quantitative finance
Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
Domain knowledge in either equities, fixed income or alternative asset classes
Progress towards CFA (or equivalent) a plus

SmartExplore AI is experimental.

New, Posted 17 hours ago

Apply Directly

Retail Store Manager– Team Leader

Mattress Firm

Somerville, NJ 08876

$65,000-$75,000/yr

~ 24 min OnsiteBilingual PreferredHealth InsuranceRetirement Benefit

Legal authorization to work in the United States without the need for sponsorship.
We require proof of eligibility to work in the United States.
Ability to stand or sit for 8+ hours at a time.
Lift, push or pull 50+ pounds.

SmartExplore AI is experimental.

New, Posted 1 day ago

ResumeLibrary

Store General Manager

Petco

Brooklyn, NY 11238

~ 46 min OnsiteFlexible ScheduleBilingual PreferredHealth InsurancePaid Time OffRetirement Benefit

3+ years of management experience (retail leadership preferred)
Education
High school diploma or GED preferred
Completion of Petco leadership development programs may be required for internal candidates
This role is primarily performed in a Pet Care Center retail environment
The General Manager is expected to be regularly present on the sales floor, leading by example and engaging with partners, customers, and pets
Majority of work is conducted indoors; however, occasional duties may require leaving the Pet Care Center for tasks such as bank deposits, merchandise transport, or community events
The role requires frequent standing and walking, as well as bending, kneeling, reaching, and lifting
Ability to safely lift and move merchandise, supplies, or animals weighing up to 50 pounds
Must be able to work in proximity to animals, including exposure to animal dander, odors, noises, and cleaning chemicals
Flexible availability to support Pet Care Center operating hours, including evenings, weekends, and holidays
This is a full-time position. Eligibility for full-time status is based on average hours worked, as defined by company policy and applicable law
A limited amount of travel may be required for training, meetings, or community engagement

SmartExplore AI is experimental.

Recommended

Apply Directly

Sr. ServiceNow Developer - IT Asset Management

RWJBarnabas Health Corporate Services

West Orange, NJ 07052

$110,681-$156,337/yr

~ 34 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor s degree in computer science, computer engineering or programming
Relevant work experience
ServiceNow Certified System Administrator (CSA) and Certified Application Development (CAD) required
ServiceNow CIS HAM, SAM, ITSM or ITOM
5+ years experience developing and operating ServiceNow
2+ years in a ServiceNow senior developer role
JavaScript
SQL
HTML
CSS
Knowledge of ITIL Processes
ITSM
HRSD
ITOM
CMDB
REST APIs
Microservices
Working knowledge of database systems

SmartExplore AI is experimental.

Culinary Agents

Executive Chef

SK Hospitality

New York, NY 10004

Recommended

Easy Apply

Commission Sales- Furniture & Bedding- FT

Boscov's Department Store

Eatontown, NJ 07724

$23.88/hr

~ 37 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

Prior retail and/or customer service experience.
Successful candidates for the Retail Furniture & Bedding Sales Associate role should have the ability and desire to actively engage customers and provide excellent customer service.
Self-motivated and portray a professional image.
Communication; verbal, written and by telephone with customers, coworkers and management
Ability and desire to work well with the public, management and coworkers.
Possess basic math skills.
Ability to learn selling skills and to operate a POS register, computer, and telxon.

SmartExplore AI is experimental.

Apply Directly

Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

~ 48 min Onsite

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
In-office position preferably based in New York City
Travel as required for partner engagements, executive meetings, and industry events

SmartExplore AI is experimental.