Software Engineering Lead Analyst

2 weeks ago

Hyderabad, Telangana, India Evernorth Health Services Full time

About Evernorth Health Services, a division of The Cigna Group (NYSE: CI), we create innovative pharmacy, care, and benefits solutions to improve health and increase vitality. Our mission is to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people.

Role Title: Full Stack Engineer

Title: Software Engineering Lead Analyst

Position Summary:

We are seeking experienced Fullstack Software Engineers to join our AI CoE team. As a Fullstack Engineer, you will design, implement, and deploy scalable and efficient AI solutions with a focus on privacy, security, and fairness. Key components include Angular and React JS based user interfaces, a robust set of Application Programming Interfaces (APIs) enabling a wide range of platform integration capabilities, a flexible Machine Learning (ML) document processing pipeline, and integration with various Robotic Process Automation (RPA) platforms. This role will work directly with business partners and other IT team members to understand desired system requirements and to deliver effective solutions within the Agile methodology and participate in all phases of the development and system support life cycle.

Primary Responsibilities:

  • Provide design solutions for portal integrations, enhancements, and automation requests.
  • Plan and implement procedures that maximize operating efficiency for application integration technologies, including managing the evolution and maturity in agile delivery, automating, and improving development operational processes, and engineering (DevOps).
  • Perform code reviews with scrum teams to approve production deployments.
  • Conduct research to identify new solutions and methods to fulfill diverse and evolving business needs.
  • Establish, improve, and maintain proactive monitoring and management of supported assets, ensuring performance, availability, security, and capacity.
  • Identify and drive process improvement opportunities.
  • Maintain strong and collaborative relationships with delivery partners and business stakeholders.

Required Experience and Qualifications:

  • A highly technical, hands-on, motivated, and collaborative individual with exceptional communication skills and proven experience working with diverse teams of technical architects, business users, and IT areas throughout all phases of the software development life cycle.
  • 2-3 years of experience with Azure or AWS services and DevOps practices and tools.
  • 6+ years of total experience.
  • 5+ years of experience in FullStack development (Frontend, Backend, and Cloud).
  • 1+ year of experience in DevOps.
  • 1+ year of developing Gen AI solutions and its integration with other systems.

Estimated Salary: $150,000 - $200,000 per annum, depending on experience and qualifications.

Detailed List of Required Skills:

  • Front-End Development Skills:
    • HTML/CSS/JavaScript: Proficiency in core technologies for building web interfaces.
    • Front-End Frameworks: Knowledge of frameworks like React, Angular, or Vue.js for creating interactive and responsive user interfaces.
    • UI/UX Design: Basic understanding of user experience and user interface design principles.
  • Back-End Development Skills:
    • Server-Side Languages: Proficiency in server-side languages such as Python, Node.js.
    • APIs: Experience in building and consuming RESTful, Flask/Fast API/GraphQL APIs.
    • Database Management: Knowledge of SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, etc.
  • DevOps and Cloud Skills:
    • Containerization and Orchestration: Experience with Docker and Kubernetes/OpenShift for containerization and orchestration of applications.
    • CI/CD Pipelines: Knowledge of continuous integration and continuous deployment tools and practices.
    • Security Best Practices: Understanding of security principles and best practices for protecting data and systems, including IAM, encryption, and network security.
    • Cloud Services: Familiarity with cloud platforms like AWS, Google Cloud, or Azure for deploying and managing applications and AI models.
  • AI and Machine Learning Skills:
    • Foundations in Machine Learning and Deep Learning: Understanding algorithms, neural networks, supervised and unsupervised learning, and deep learning frameworks like TensorFlow, PyTorch, and Keras.
    • Generative Models: Knowledge of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers.
    • Natural Language Processing (NLP): Knowledge in NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face Transformers) for text generation tasks.
    • Model Deployment: Experience with deploying models using services like TensorFlow Serving, TorchServe, or cloud-based solutions (e.g., AWS SageMaker, Google AI Platform).
    • Basic understanding of implementing Prompt Engineering, Finetuning, and RAG.

Additional Skills:

  • Version Control: Proficiency with Git and version control workflows.
  • Software Development Practices: Understanding of agile methodologies, testing, and code review practices.

Education and Training:

  • Degree in Computer Science, Artificial Intelligence, or a related field.

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