Software Engineers (Java | Python | Full-Stack | AIML | Data | Cloud | QA) – U.S. Career Opportunities
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Job Summary
This is a remote position.
Software Engineers (Java Python Full-Stack AI/ML Data Cloud QA) U.S. Career Opportunities
Location: United States (Remote / Hybrid / On-site Opportunities)
Employment Type: Full-Time Contract Contract-to-Hire
Experience: 015 Years
Compensation: Varies by Employer and Position
About the Opportunity
Are you a Software Engineer struggling to secure interviews or receive job offers in the U.S. market
Many highly qualified professionals face challenges such as:
- Limited access to direct hiring managers
- ATS resume rejections
- Low recruiter response rates
- Generic job applications
- Insufficient interview preparation
- Lack of professional branding
- Limited recruiter and employer network
At Sadient we help software professionals strengthen their profiles and improve their job search through our Full Placement Assistance Program. Our team works with candidates to enhance their marketability and connect them with relevant employment opportunities through our recruitment network and hiring partners.
Requirements
We Are Looking For Professionals In
- Java Developers
- Python Engineers
- Software Engineers
- Full-Stack Engineers
- Backend Engineers
- Frontend Engineers
- Data Engineers
- Data Analysts
- Data Scientists
- Machine Learning Engineers
- AI Engineers
- Cloud Engineers (AWS Azure GCP)
- DevOps Engineers
- QA Engineers
- Software Test Engineers
- Automation Test Engineers
- SDET Engineers
- Technical Leads
- Staff Engineers
- Principal Engineers
- Engineering Managers
All experience levels are welcome including:
- Entry-Level
- Junior
- Mid-Level
- Senior
- Lead
- Staff
- Principal
- Architect
- Engineering Leadership
Common Technologies
Java Spring Boot Python Django Flask FastAPI React SQL PostgreSQL MySQL MongoDB Redis Kafka Docker Kubernetes AWS Azure Google Cloud Spark Hadoop Databricks Snowflake TensorFlow PyTorch LangChain OpenAI Git Jenkins Terraform Selenium Cypress Playwright REST APIs GraphQL Microservices
Benefits
How Sadient Can Support You
Through our Full Placement Assistance Program we may assist eligible candidates with services such as:
- Personalized Career Consultation
- Resume Analysis & ATS Optimization
- Professional Resume Writing
- LinkedIn Profile Optimization
- Professional Branding
- Resume Marketing
- Recruiter Outreach
- Employer Outreach
- Job Search Strategy
- Targeted Job Applications
- Interview Preparation
- Interview Coordination
- Career Guidance
- Ongoing Placement Assistance
Our objective is to improve your visibility with recruiters and hiring teams while helping you navigate the U.S. hiring process more effectively. Placement outcomes remain subject to employer hiring decisions and candidate qualifications.
Why Join the Program
- Access to opportunities from Sadients recruitment network
- Profile enhancement to improve recruiter visibility
- Guidance throughout the recruitment process
- Direct support from experienced recruitment professionals
- Personalized job search strategy
- Dedicated placement assistance from registration through interview coordination
Ready to Accelerate Your U.S. Job Search
Learn more about the Sadient Full Placement Assistance Program:
Equal Opportunity
Sadient welcomes qualified candidates from diverse backgrounds and experience levels. All applications are reviewed based on qualifications experience technical skills and alignment with available opportunities.
Required Skills:
Skills Qualifications & Experience: Strong verbal and written communication skills. Ability to work independently or collaborate with a team. Highly motivated eager to learn and understand our business. Solutions oriented and excellent problem solver. Relational database work experience Strong in Microsoft SQL-Server (2012/2016/2019) SSRS SSIS SSAS or T-SQL work experience. Visual Basic C# or Java work experience. Visual Studio experience preferred but not required. Tableau reporting and bridge server experience or Power BI experience. Proficient in Microsoft Office suite emphasis in Excel. Able to utilize tools and scripting languages contribute to existing automated tasks and scheduling. EDI/ANSI x12 experience preferred but not required. Bachelors degree required in field such as business information technology computer science information systems or data science. 2 4 Years of related professional work experience in this role.
Required Education:
bachelor
