Software Engineer

Cloud Analytics Technologies, LLC; Village of Newark (NY); On-site; USD 78,000 - 112,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking a Software Engineer in Newark, NY for a 12-month engagement (with extension possible). The role focuses on designing, building, testing, deploying, and supporting scalable backend services in Python and Java, with REST APIs and microservices.

You will work with relational and NoSQL databases, cloud platforms, Linux, Docker, CI/CD, and modern web technologies, collaborating across product, business, quality, and data teams to deliver reliable solutions.

Qualifications

• Experience in Python and Java software development.
• Strong knowledge of REST APIs and microservices.
• Experience with cloud platforms, databases, Linux, and CI/CD.

Responsibilities

• Design and develop backend services, REST APIs, and modular or microservice-based applications using Python and/or Java.
• Design data access layers and integrations for PostgreSQL, SQL Server, MySQL, MongoDB, or comparable databases.
• Write clean, maintainable, testable code using object-oriented design, SOLID principles, defensive validation, and appropriate error handling.
• Create unit and integration tests; participate in code reviews, defect resolution, release readiness, and production support.
• Containerize and deploy applications using Docker and CI/CD pipelines across cloud or Linux environments.
• Use Git, Maven, Swagger/OpenAPI, Postman, and Jira to support development, documentation, testing, and delivery tracking.
• Collaborate within Agile/Scrum teams and communicate technical tradeoffs, delivery risks, dependencies, and progress.

Skills

Python

Java

REST APIs

Microservices

Relational Databases

NoSQL Databases

Cloud Platforms

Linux

Docker

CI/CD

Tools

Git

Maven

Swagger/OpenAPI

Postman

Jira

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Software Engineer
Location: Newark,NY
Duration: 12 Months + Extension
Bill Rate: 69/hour
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description

The Software Engineer will design, build, test, deploy, and support scalable software applications and services. The role suits an engineer with experience in Python and Java, REST APIs, microservices, relational and NoSQL databases, modern web technologies, cloud platforms, Linux, Docker, and CI/CD. The engineer will collaborate with product, business, quality, and data teams to convert requirements into reliable, maintainable solutions.

Key Responsibilities:

Design and develop backend services, REST APIs, and modular or microservice-based applications using Python and/or Java.

Design data access layers and integrations for PostgreSQL, SQL Server, MySQL, MongoDB, or comparable databases.

Write clean, maintainable, testable code using object-oriented design, SOLID principles, defensive validation, and appropriate error handling.

Create unit and integration tests; participate in code reviews, defect resolution, release readiness, and production support.

Containerize and deploy applications using Docker and CI/CD pipelines across cloud or Linux environments.

Use Git, Maven, Swagger/OpenAPI, Postman, and Jira to support development, documentation, testing, and delivery tracking.

Collaborate within Agile/Scrum teams and communicate technical tradeoffs, delivery risks, dependencies, and progress.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Some of our Business Ventures - Knowledge Analytics

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