3392 Azure Cloud And Devops Engineer jobs in New York,NY

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Sr. Project Manager with MS 365 & Azure Experience - Remote

The Dignify Solutions, LLC

Jersey City, NJ 07310

Remote

New, Posted 2 hours ago

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AML Compliance Model Developer – Associate

Santander Holdings USA

New York, NY 10012

Onsite

Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field
3–5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services
Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing
Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing
Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets
Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management
Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT
Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts
Strong analytical, quantitative, and problem-solving skills
Ability to multitask, manage priorities, and work effectively in fast-paced environments
Strong communication, documentation, and stakeholder management skills
Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment

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New, Posted 20 hours ago

DevOps & ALM Administrator

Arrow Electronics

Garden City, NY 11599

Urgently Hiring

Jobcase

Director, Product Operations F/T

Mastercard

New York, NY 10001

$207,782-$318,000/yr

New, Posted 11 hours ago

Frito-Lay - Warehouser/Material Handler $18-$26/hr

Frito Lay

Hoboken, NJ 07030

$18-$26/hr

No Experience

New, Posted 11 hours ago

UPS - Warehouse Worker/Package Handler $21+/hr

UPS

Union City, NJ 07087

$21/hr

No Experience

Remote Online Tasks – Earn Up to $1,500/month Playing Games

Free Cash

New York, NY 10098

$1,500/mo

Remote

New, Posted just now

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Special Agent, $40,000 Recruitment Incentive

The United States Secret Service

New York, NY 10261

Onsite

U.S. citizenship is required
Possess a current valid driver's license
Carry and use a firearm. Maintaining firearm proficiency is mandatory.
Be at least age 21 at the time of application and less than age 37 at the time you receive a conditional offer of employment, unless you have previous service in a Federal Civilian Law Enforcement position covered by special law enforcement or firefighter retirement provisions, including early or mandatory retirement. Applicants with veteran's preference must receive a conditional offer of employment prior to reaching age 40 to continue in the application process.
You must obtain a Top Secret Clearance and retain it during your career.
Possess uncorrected visual acuity of no worse than 20/100 binocular, possess corrected visual acuity of 20/20 or better in each eye.
Hearing loss, as measured by an audiometer, must not exceed 25 decibels (A.S.A. or equivalent I.S.O.) in either ear in the 500,1000 and 2000Hz ranges.
Submit to a drug test prior to your appointment and random drug testing while you occupy the position.
Complete 13 weeks of intensive training at the Federal Law Enforcement Training Center(FLETC) in Glynco, GA and 18 weeks of specialized training at the James J. Rowley Training Center in Laurel, MD.
Sign a mobility agreement stating your willingness to accept assignments anywhere within the United States and overseas.
Certify that you have registered with the Selective Service System or are exempt from having to do so, if you are a male applicant born after December 31, 1959.

SmartExplore AI is experimental.

Jobcase

Development Operations Associate

Spark MicroGrants

New York, NY 10001

New, Posted 7 hours ago

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Principal Quant Developer (MLOps)

Fidelity Investments

Hoboken, NJ 07030

~ 16 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