APIGEE Developer

About the Role

As a Staff Software Engineer, you will play a critical role in designing, developing, and scaling core products. You will work across the stack - building powerful backend services, intuitive frontend experiences, and robust cloudnative applications. You will also provide technical leadership and mentorship, influencing engineering with the best

practices across the team.

What You will Do

• Architect and build scalable, secure, and resilient backend systems using Java, Kotlin, or other JVM-based languages.
• Lead design and implementation efforts for core components across cloud-native services (e.g., Kubernetes, Docker, AWS/GCP/Azure).
• Contribute to the development and enhancement of our software supply chain security products
• Collaborate with product management and cross-functional teams to translate complex business requirements into robust technical solutions.
• Champion modern DevSecOps practices, integrating security into CI/CD pipelines and ensuring automation across build and deployment processes.

Who You Are

• Guide and mentor engineering teams through technical challenges, providing architectural guidance and code reviews.
• Advocate for and implement best practices in testing, observability, reliability, and performance optimization.
• Evaluate and integrate open-source tools and libraries, contributing back to the community when appropriate.
• Drive improvements in platform scalability, data processing pipelines, and distributed system architecture.
• Participate in and lead incident response, root cause analysis, and long-term reliability engineering efforts.

What You Need

• 8+ years of professional software engineering experience.
• Proven experience designing and building scalable, production-grade full stack applications.
• Strong proficiency in Java and/or Kotlin on the backend, with experience building RESTful APIs and microservices.
• Proficiency with modern frontend frameworks such as React, Vue, or similar JavaScript/TypeScript libraries.
• Solid understanding of cloud-native architecture and experience deploying applications to cloud platforms (AWS, GCP, or Azure).
• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Familiarity with secure software development practices and integrating security into full stack applications.
• Skilled in automated testing, CI/CD pipelines, and modern DevOps workflows.
• Strong communication and collaboration skills, with experience working across engineering, product, and design teams.
• Bachelor’s degree in computer science, Engineering, or a related field—or equivalent practical experience.
• Experience working in an agile environment and collaborating with cross-functional teams.
• Passion for mentoring and coaching engineers.

Why Join Us?

• Help secure the software supply chain for millions of developers worldwide.
• Build meaningful software in a collaborative, fast-moving environment with strong technical peers.
• Stay hands-on while leading—technical leadership is part of the job, not separate from it.
• Join a global engineering organization with deep local roots and a strong team culture.
• Competitive salary, great benefits, and opportunities for growth and innovation.

If you're excited about building impactful software and helping others do the same, this is an opportunity to grow as a technical leader and make a meaningful impact.

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.

Role- Javascript Technical Lead

Job Responsibilities:
● Architect and design solutions and lead a team of 5-6 JS developers
● Interact with client understand requirements
● Able to convert business requirements to sizable tasks for developers to implement
● Provide technical expertise and mentor team in latest technologies
● Ensure and apprise stakeholders of technical feasibility, effort and impact of
implementations
● Create and present demos POCs

Skills Required:
1. Hand on experience with Node.js + React.js
2. Good understanding of Node.js frameworks (Express, Koa, Sails, Hapi) and good hands-on experience in at least one.
3. Strong understanding of Core JS Concepts including the ability to write unit tests.
4. Working knowledge in ES6 + JavaScript.
5. Experience in API Design (REST concepts) and API modeling.
6. Knowledge of WebSocket’s (Socket IO).
7. Hands on experience Typescript.
8. Experience with build tools (Webpack).
9. Experience with NoSql Databases (Mongo, Dynamo).
10. Good communicator with good client engagement skills.
11. Hand on experience with version control systems(git). Self-motivated and driven to
deliver, with and ability to be detail-oriented while able to see and define the overall
strategy.
12. Demonstrated ability to stay on top of new concepts and tools in the ever-evolving area

Good to have:
1. Knowledge of Docker and hands-on experience
2. Worked with AWS and similar cloud service providers
3. Experience with building applications using microservices

• 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.

Must Have:

1. Strong proficiency with .Net Core API development
2. Experience with caching approaches for API
3. Hands on with SQL Server and its variation among popular databases
4. Well versed with stored procedures, query plans, altering the indexes, and troubleshooting the performance holdups
5. Skilled at performance optimization of .NET APIs
6. Experience & Knowledge on Open API specification & swagger documentation
7. Experience in building Cloud Native Applications
8. Experience in Microservices architecture
9. Has worked on the deployment of applications using Docker
10. Has Knowledge of Kubernetes
11. Has Experience with Cache systems like Redis.

Nice to Have:

1. Familiar with .NET design patterns
2. Performance tuning of SQL Stored Procedures

Note: We looking for immediate joiners. We expect the offered candidate should join within 15 days. Buyout reimbursement is available for 30 to 60 days notice period applicants who can ready join within 15 days.