Lead Software Engineer

Optum

Hyderabad

Hybrid

INR 2,200,000 - 3,200,000

Full time

14 days+
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Job summary

Optum Hyderabad is seeking an experienced engineer to drive agile product delivery with an AI-first approach, combining design thinking and solid engineering practices to ship health-care software.

You will mentor teams, estimate effort, and collaborate with stakeholders while ensuring quality through CI/CD, testing, and incident management.

Qualifications

  • Graduate degree or equivalent experience with strong programming fundamentals.
  • B.Tech/MCA/MSc/MTech (minimum 16 years of formal education) required.
  • Experience with Java/J2EE, React, Node, Spring Boot, and databases.
  • Experience in production support and incident management.
  • Python and AI implementation experience is desirable.
  • Hands-on knowledge of AI implementations and DevOps for production operations.

Responsibilities

  • Lead agile product delivery from design to production with an AI-first approach.
  • Mentor engineering teams to build and deliver health care products.
  • Estimate, design, and justify effort for modules and tasks.
  • Implement and enforce best engineering practices including testing and CI/CD.
  • Communicate clearly with stakeholders and manage requirements.
  • Adhere to employment contracts and company policies.

Skills

Java/J2EE
React
Node.js
Python
AI implementations
DevOps

Education

B.Tech
MCA
MSc
MTech

Tools

Spring Boot
Oracle
MongoDB
Relational DB

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Role & responsibilities
  • gile product delivery from design to delivery and production implementation with AI first approach
  • Technically hands-on and able to inculcate best programming and engineering practices by doing
  • Shall be able to do the people management, work with the team to plan for work & get it delivered from them in sprint over sprint
  • Estimate: Create, understand and validate Design and estimated effort for given module/task, and be able to justify it
  • Mentor: Coach high performing engineering team to build and deliver health care product to market
  • Engineering: Implement and adhere to best engineering practices like design, unit testing, functional testing automation, continues integration and delivery
  • Stakeholder management: Excellent communication skills, clarity of thought and ability to take decisions bases on available information
  • Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Preferred candidate profile
  • Graduate degree or equivalent experience
  • B.Tech/MCA/MSc/MTech (Minimum 16 years of formal education, correspondence courses are not relevant)
  • Java/J2EE, React, Node, Sprintboot, Oracle/any relational DB. Mongo/any object based DB
  • Expertise on production support, incident management
  • Python/ability to run faster, AI implementation
  • Hands on knowledge on AI implementations
  • Expertise on devops including production support operations, ticket management, root cause analysis, etc.
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