202 Cloud Software Engineer Java Python Aws jobs in Miami,FL

Software Security Engineer II - S3E

Raytheon

Miami, FL 33186

Experience with C / C++.
Experience working in Agile or similar development environment
Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) AND a minimum of 2 years of relevant software experience.
Ability to obtain INTERIM U.S. government issues security clearance is required prior to start date
Experience with scripting languages like Python, Perl or similar
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Active and transferable U.S. government issued security clearance is required prior to start date.
U.S. citizenship is required
Security Clearance Type: DoD Clearance: Secret
The ability to obtain and maintain an interim Secret U.S. security clearance is required prior to start date.

BOOZ, ALLEN & HAMILTON

Doral, FL 33126

5+ years of experience in IAM engineering
Knowledge of DoD IL2, IL4, and IL5 security frameworks and compliance standards
Bachelor's degree in Cybersecurity, Information Assurance, or Computer Science
Ability to design, implement, and manage Identity and Access Management ( IAM ) solutions within secure cloud and on-premises environments
Secret clearance
Experience with tools such as Micro sof t Entra ID, Okta, Ping Identity, or AWS IAM

Sepal

Miami, FL 33222

Large-scale query optimization
Performance tuning
Strong SQL skills: you know how to reason through performance problems and spot inefficient query patterns
Deep expertise in Clickhouse and Grafana
Schema design
3+ years of experience in observability engineer, production engineer, or platform engineer roles.

Santander Holdings USA

Miami, FL 33133

Ability to write code to facilitate the extract of key data elements from the bank's various data warehouses/data marts, interpreting the elements/attributes of the data,
Experience with Microsoft Tools and Power Platform preferred (SharePoint, Power & Automate) as well as with Microsoft Excel, SAS, Python, SQL.
Bachelor's Degree, preferably in Data Science, Data Analysis or equivalent field, or equivalent quantitative experience.
7-12 Years' banking experience, preferably concentrated in Data Management or Data Analytics functions.