招聘
Job Title: Full Stack Engineer – GenAI, Decision Systems & Cloud-Native Development Position Overview
We are looking for a highly skilled and innovative Full Stack Engineer with a strong foundation in Computer Science, hands-on experience in Generative AI tools, and a passion for building intelligent, scalable systems. This role involves full-stack development, API integration, and automation in a modern AWS EKS environment, with a focus on integrating decision models built in IBM Automation Decision Services (ADS).
Responsibilities
- Design, develop, and maintain RESTful APIs using Java/Spring Boot deployed on AWS EKS.
- Integrate and deploy decision models built in IBM ADS, ensuring seamless orchestration and version control.
- Build and manage ETL pipelines using Databricks for data ingestion, transformation, and enrichment.
- Develop and maintain Kafka-based data streaming solutions for real-time decisioning.
- Work with AWS RDS (PostgreSQL) and Redis (or similar) for transactional and caching needs.
- Leverage GenAI tools (e.g., Lang Chain, OpenAI, Watsonx.ai) to automate development tasks such as code generation, test automation, and documentation.
- Participate in full-stack development, including frontend integration and backend services.
- Contribute to CI/CD pipelines, deployment automation, and post-deployment validations.
- Collaborate across global teams (onshore/offshore) to ensure 24/7 system reliability and performance.
Qualifications
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Overall experience of 5-8 years.
- 5+ years of experience in backend development using Java/Spring Boot.
- Strong experience with AWS services, especially EKS, RDS (PostgreSQL), Redis, and IAM.
- Proficiency in Kafka, Databricks, and SQL/NoSQL databases.
- Experience integrating and deploying decision models in IBM ADS.
- Solid understanding of decision trees, rule-based systems, and data-driven decisioning.
- Experience with GitHub, CI/CD pipelines, and Agile development practices.
- Exposure to or hands-on experience with Generative AI tools and AI-driven automation.
Preferred Qualifications:
- Familiarity with agentic AI systems and AI orchestration frameworks.
- Experience with frontend frameworks (React, Angular) is a plus.
- Strong problem-solving skills and ability to work independently in a distributed team.
Why Join Us?
- Work on cutting-edge AI-driven systems that impact real-world decisioning.
- Collaborate with a global team of innovators and technologists.
- Opportunity to shape the future of software engineering with GenAI.
Location & Hours of Work
- Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate
- Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)
Equal Opportunity Statement
Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.
About Evernorth Health Services
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
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关于Cigna

Cigna
PublicThe Cigna Group is an American multinational for-profit managed healthcare and insurance company based in Bloomfield, Connecticut.
10,001+
员工数
Bloomfield
总部位置
$54B
企业估值
评价
3.7
10条评价
工作生活平衡
4.2
薪酬
2.8
企业文化
4.1
职业发展
3.5
管理层
3.2
65%
推荐给朋友
优点
Good work-life balance and flexible hours
Supportive and friendly coworkers
Excellent health benefits and vacation time
缺点
Low compensation and non-competitive pay
Poor management and lack of transparency
Limited career advancement opportunities
薪资范围
38个数据点
L2
L3
L4
L5
L6
L2 · Financial Analyst L2
0份报告
$74,750
年薪总额
基本工资
$29,900
股票
$37,375
奖金
$7,475
$52,325
$97,175
面试经验
2次面试
难度
3.0
/ 5
时长
14-28周
体验
正面 0%
中性 50%
负面 50%
面试流程
1
Application Review
2
Recruiter Screen
3
Team Member Screen
4
Technical Assessment
5
Final Round Interview
6
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
新闻动态
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