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Sr. Specialist - Software Engineering

Acentra Health · Chennai, TN, India · Bengaluru, KA, India

Mixed hiring record · median 36 days open

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Sr. Specialist - Software Engineering at Acentra Health. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Company Overview

Company Overview

Acentra Health exists to empower better health outcomes through technology, services, and clinical expertise. Our mission is to innovate health solutions that deliver maximum value and impact.

Lead the Way is our rallying cry at Acentra Health. Think of it as an open invitation to embrace the mission of the company; to actively engage in problem-solving; and to take ownership of your work every day. Acentra Health offers you unparalleled opportunities. In fact, you have all you need to take charge of your career and accelerate better outcomes – making this a great time to join our team of passionate individuals dedicated to being a vital partner for health solutions in the public sector.At Acentra Health, we embrace emerging technologies, including artificial intelligence and advanced analytics that can be utilized to improve processes, enhance decision-making, and drive better health outcomes. We value professionals who are curious about new technologies and motivated to use innovative tools to increase efficiency, quality, and impact in their roles.

Job Summary and Responsibilities

Acentra Health seeks a Full Stack Developer to join our growing team. This role will serve as a key contributor within our AI Studio building modern, scalable applications that power AI-driven workflows, automation solutions, and intelligent user experiences. This role blends traditional full stack engineering with emerging AI capabilities, requiring the ability to design, develop, and deploy end-to-end solutions that integrate AI services, APIs, and data pipelines into impactful healthcare applications.

This individual will be responsible for translating clean, modern UI/UX designs into highly functional, performant front-end applications, while also developing robust backend services in Python and other modern programming languages and frameworks. The ideal candidate embraces AI-assisted development practices, leveraging coding copilots and automation tools to accelerate delivery, improve code quality, and continuously innovate.

  • Design, develop, and deploy full stack applications that enable AI-powered workflows, automation services, and intelligent user interactions.
  • Translate modern UI/UX designs into responsive, high-quality front-end experiences using frameworks such as React, Angular, and other modern programming languages.
  • Build and maintain backend services and APIs using Python and modern frameworks to support scalable, secure, and performant applications.
  • Integrate AI/ML services, APIs, and data pipelines into applications to deliver automation and decision-support capabilities.
  • Leverage AI coding tools, such as copilots and code-generation assistants, to enhance development productivity, code quality, and delivery speed.
  • Collaborate with cross-functional teams, including AI engineers, product managers, designers, and clinical/operational stakeholders, to deliver impactful solutions.

Job Requirements and Qualifications

Required Qualifications/Experience

  • Bachelor’s degree in Computer Science, Data Science, or a related field.
  • 6-8 years in software with experience in Full Stack engineering
  • Proficiency in full stack software development, including modern front-end and back-end technologies.
  • Strong experience with front-end frameworks such as React, Angular, or comparable technologies.
  • Proficiency in Python and experience developing scalable backend services, APIs, and integrations.
  • Knowledge of RESTful APIs, data pipelines, cloud-based services, and application integration patterns.
  • Experience integrating AI/ML services and APIs into software applications and business workflows.
  • Understanding of automation, intelligent workflows, and decision-support capabilities.
  • Familiarity with AI-assisted development tools, including coding copilots and code-generation assistants.
  • Ability to translate UI/UX designs into responsive, accessible, high-quality user interfaces.
  • Knowledge of software engineering best practices, including secure coding, testing, code review, version control, and performance optimization.
  • Understanding of security, privacy, and regulatory requirements for healthcare applications, including HIPAA compliance.
  • Ability to troubleshoot complex technical issues and deliver reliable, maintainable, and scalable solutions.
  • Strong collaboration and communication skills, with the ability to work effectively with AI engineers, product managers, designers, and clinical or operational stakeholders.
  • Demonstrated ability to work in a fast-paced, cross-functional environment while managing multiple priorities.

Skills

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