
We are looking out APIgee professionals for Manager - APIgee developement position.
Job description as follows:-
8-10 years overall experience in supporting middleware technologies or relevant experience.
* Excellent knowledge on API management using APIgee, API gateway. Dealing with API deployment, scalability, security. Monitoring.
* Good understanding component architecture
* Excellent knowledge on API documentation
* Knowledge on complete API Lifecycle Management including release & deployment, management and creation of APIs is must have
* Assist in the configuration, installation, and troubleshooting of a software rollout.
* Reviews design documents and provides feedback on approach and estimates.

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About Us
Apty is a rapidly scaling SaaS company helping global enterprises accelerate software adoption and digital transformation. With teams across India and the USA, we are building an AI-first Digital Adoption Platform that simplifies user experience, improves productivity, and reduces support overhead. We're on a mission to build a high-performance and people-centric culture that celebrates innovation, diversity, and growth.
Trusted by millions of users worldwide, including Fortune 1000 Companies, Apty empowers employees to excel in their roles by promoting engagement and enhancing data hygiene.
Role Overview
We are looking for a talented Full Stack Developer with 2–5 years of experience to join our dynamic team in Hyderabad.
As a Senior Full Stack Developer at Apty, you will contribute to the design, development, and maintenance of cutting-edge web applications and browser extensions that serve enterprise clients worldwide. You should have strong problem-solving skills and be proficient in both front-end and back-end technologies.
Key Responsibilities
- Develop responsive and user-friendly web interfaces using HTML, CSS, and React.js.
- Build robust server-side applications and APIs using Node.js.
- Design and manage relational databases using SQL.
- Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
- Debug, troubleshoot, and enhance existing applications for optimal performance and scalability.
- Ensure code quality through reviews, testing, and adherence to best practices.
- Stay updated with the latest trends and technologies.
Education Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field.
Requirements
- Strong programming and problem-solving skills.
- Proficiency in HTML, CSS, and React.js for front-end development.
- Experience with Node.js for back-end development.
- Good understanding of relational databases, including SQL.
- Familiarity with RESTful APIs and web application architecture.
Benefits
- An opportunity to work with a fast-growing SaaS company impacting millions of users globally.
- A collaborative and inclusive work environment.
- Opportunities for professional growth and skill development.
- Competitive salary and benefits package.
About the Role:
We are looking for a skilled Flutter App Developer to build and maintain a high-performing online portal accessible via both mobile and web platforms. The ideal candidate will have a strong command of Flutter and Dart, experience integrating APIs, and the ability to develop responsive, scalable, and intuitive user interfaces.
Key Responsibilities:
- Develop, test, and maintain cross-platform applications for web and mobile using Flutter
- Implement responsive UI/UX based on Figma/Adobe XD designs
- Integrate third-party APIs and backend services (e.g., REST APIs, Firebase)
- Build and manage state using Provider, Bloc, or similar libraries
- Optimize app performance and resolve bugs reported by QA or end-users
- Ensure cross-browser/platform compatibility and responsiveness
- Collaborate with UI/UX designers, backend developers, and product teams
- Manage version control using Git and participate in code reviews
Required Skills:
- Strong experience with Flutter & Dart
- Experience developing Flutter Web & Mobile apps
- Familiarity with state management solutions (e.g., Provider, Bloc, Riverpod)
- Proficient in RESTful API integration and JSON handling
- Knowledge of Firebase services (Auth, Firestore, FCM) or other backend tools
- Understanding of responsive and adaptive UI principles
- Experience with Git version control
Preferred Skills (Bonus):
- Familiarity with deployment on Play Store and App Store
- Experience with web-specific optimization (SEO, PWA basics)
- Background in Android (Java/Kotlin) or iOS (Swift) development
- Unit and widget testing in Flutter
- CI/CD pipeline knowledge (Codemagic, GitHub Actions, etc.)
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or related field (preferred)
- Proven portfolio or GitHub repo with past Flutter/web apps
Why Join Us:
- Opportunity to work on a dynamic and scalable online portal
- Flexible work schedule and remote options
- Growth-oriented and collaborative work environment
Job Summary:
We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.
Responsibilities:
AI Strategy Development:
- Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
- Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.
Solution Design:
- Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
- Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
- Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.
Data Management:
- Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
- Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.
AI Model Development:
- Lead the development and deployment of AI and machine learning models.
- Implement best practices for model training, testing, and validation.
- Monitor and optimize model performance to ensure accuracy and efficiency.
Microservices Architecture:
- Define and implement microservices architecture patterns and best practices.
- Ensure that microservices are designed for scalability, flexibility, and resilience.
- Collaborate with development teams to build and deploy microservices-based applications.
Monitoring Systems:
- Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
- Implement proactive alerting and reporting mechanisms to identify and address issues promptly.
Integration and Deployment:
- Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
- Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.
Compliance and Security:
- Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
- Implement security measures to protect AI models, data, and microservices.
Stakeholder Communication:
- Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
- Translate technical concepts into non-technical language for various audiences.
Research and Innovation:
- Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
- Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.
Requirements:
- Bachelor's or Masters degree in computer science, Data Science, or a related field.
- Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
- Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
- Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
- Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
- Excellent communication and interpersonal skills.
- Ability to lead cross-functional teams and drive innovation.
- Strong problem-solving and critical-thinking abilities.
- Knowledge of regulatory requirements and data privacy standards related to AI and microservices.
Preferred Qualifications:
- AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
- Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
- Previous experience with enterprise architecture frameworks (e.g., TOGAF).
This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.
Creates, modifies and maintains software applications individually or as part of a team under general supervision.
Essential Duties & Responsibilities
• Codes, tests, debugs, implements and documents software applications using established coding standards and methodologies
• Work within an agile scrum team, contributing to an atmosphere of continuous improvement
• Perform code reviews to ensure adherence to best practices
• Understands how to interpret designs and database models and effectively collaborate with Architects
• Master the technologies, languages, and practices used by the team and project assigned
• Trouble shoot and resolve issues in existing software
• Continuous performance improvement of the system
Minimum Qualifications
• Minimum three years of HL7 development experience (implementation only will not be considered) using an industry known interface engine
• Understanding of FHIR and its primary components
• Experience with AWS or Azure cloud-based technologies
• Experience with OAuth2
• Minimum two years EDIFecs experience (Rhapsody will be considered if three years minimum)
Skills/Knowledge
• Must be proficient in basic programming skills and proficient in JavaScript and/or C#
• Strong problem-solving and analysis skills
• Experience with high transactional volume systems
• Ability to design and build workflows from requirements document
• Ability to gather requirements from existing platform
• Ability to learn new development language and platforms quickly and apply that knowledge effectively
• AWS Cloud technologies
• CI/CD experience or understanding
Skills required: -
- Strong architecture and design skills and keen business sense. -
- Ownership of projects and technical areas. -
- Strong core server-side technologies experience (Java), database design & performance tuning exposure. -
- Strong OO design skills, knowledge of frameworks such as Spring/ Spring Boot/ exposure to functional programming a plus. -
- Good knowledge of nodeJS/ noSQL a definite plus. -
- Good exposure to front end/UI skills (JS, HTML, Angular). -
- Good exposure to configuration management, testing, deployment. -
- Deep knowhow of data structures, algorithms. -
- Hands on development across technologies.
- Exp- 6-8 years.
- Qual- B.E/ B.Tech (Computer Science/ Equivalent) from a premier institute.
- Strong proficiency with .Net Core API development
- Experience with caching approaches for API
- Hands on with SQL Server and its variation among popular databases
- Well versed with stored procedures, query plans, altering the indexes, and troubleshooting the performance holdups
- Skilled at performance optimization of .NET APIs
- Experience & Knowledge on Open API specification & swagger documentation
Nice to Have:
- Familiar with .NET design patterns
- Performance tuning of SQL Stored Procedures
Develop reusable components to enable other teams to easily implement UIs with rich and consistent look and feel
Work with management and architects to scope and plan engineering efforts and dependencies
Participate in code reviews, architecture and design decisions
Usually recognized as Team/Technical Leader, Senior Software Engineers Solves big problems that come with a lot of ambiguity. As technical leaders of the team, Sr SDE’s work efficiently and regularly deliver the right things with limited guidance. They take a long term view of team’s software and how it fits into the architecture; fix architecture deficiencies and/or propose larger projects, which may require the work of rest of the team. They understand the business impact of systems and show good judgment when making technical trade-offs between team’s short-term technology or operational needs and longterm business needs. As a key influencer in team strategy, Sr SDE’s drive mindful discussions with customers and peers. They bring perspective and provide context for current technology choices and guide future technology choices.
Sr SDE’s take ownership of team architecture, providing a system-wide view and design guidance. They drive engineering best practices (e.g., Operational Excellence, Security, Quality, etc.) and set standards. They work to resolve the root cause of endemic problems which may require them to influence software decisions made by other teams. When confronted with discordant views, they are able to find the best way forward and influence others to follow that path (build consensus). They actively contribute in recruiting and help others leverage their expertise, by coaching and mentoring in organization or at their locations. They provide technical assessments for promotions in SDE job family.
As a norm, Amazon SDE’s have industry-leading technical abilities. They recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations. They write high quality, maintainable, and robust code, often in Java or C++. They solve problems at their root, stepping back to understand the broader context. They build flexible systems without over-engineering and choose simple, straightforward solutions over more complex ones. They understand a broad range of data structures and algorithms and know how, when and when not to use them; recognize and use design patterns to solve business problems. They understand how operating systems work, perform and scale. Sr SDE’s write software that is easy for others to contribute to.
Amazon SDE’s build software for business’ sake, not for technology’s sake. They have an understanding and empathy for Amazon’s customers and business objectives, particularly those aspects relevant to their teams and divisions. They work in a team, driving things forward, they collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
Key Responsibilities include: - Ability to architect and design right solutions starting with broadly defined problems Provide technical mentorship/leadership to other engineers Drive best practices and engineering excellence Development of code in object oriented languages like Java and C++.
Preferred Qualifications The ability to take raw product requirements and develop software architectures and designs to bring them to life. 10+ years of experience building successful production software systems A solid grounding in Computer Science fundamentals (based on a BS or MS in CS or related field). Post-graduate degree: Master’s or Ph.D. with focus in machine learning is big plus. Development in cloud environment Mastery of the tools of the trade, including a variety of modern programming languages (Java/C++/C#, JavaScript, C/C++,Python) and open-source technologies (Linux, Spring, Hibernate)









