Key Responsibilities:

- Lead the design, architecture, and implementation of scalable, cloud-native applications and enterprise platforms.

- Drive technology strategy, architecture decisions, and adoption of modern engineering best practices.

- Research, evaluate, and implement emerging technologies to enhance platform performance, scalability, and security.

- Design and develop robust backend services, APIs, and microservices-based applications.

- Build highly available, distributed systems capable of handling large-scale data processing and high transaction volumes.

- Lead proof-of-concepts (POCs), technical feasibility studies, and innovation initiatives.

- Collaborate with Product, Engineering, Data Science, DevOps, and Infrastructure teams to deliver end-to-end solutions.

- Establish coding standards, architecture guidelines, and software development best practices.

- Mentor senior engineers and technical teams through code reviews, technical discussions, and architectural guidance.

- Optimize application performance, reliability, observability, and system resilience.

- Ensure compliance with security standards, governance policies, and data privacy requirements.

- Drive CI/CD automation, infrastructure modernization, and DevSecOps implementation.

- Troubleshoot complex production issues and lead root cause analysis for critical incidents.

- Stay updated with advancements in Cloud Computing, Artificial Intelligence, Distributed Computing, and Enterprise Architecture.

Required Technical Skills:

- Strong expertise in Java, Python, Go, or C#.

- Extensive experience with Spring Boot, .NET Core, Node.js, or FastAPI.

- Hands-on experience designing Microservices and RESTful APIs.

- Strong understanding of Distributed Systems, Event-Driven Architecture, and Message Queues (Kafka/RabbitMQ).

- Experience with Cloud Platforms (AWS, Azure, or Google Cloud Platform).

- Expertise in Docker, Kubernetes, and container orchestration.

- Strong knowledge of SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra, Redis).

- Experience with CI/CD pipelines, Git, Jenkins, GitHub Actions, or Azure DevOps.

- Hands-on knowledge of Infrastructure as Code (Terraform/CloudFormation).

- Experience with monitoring and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog.

- Understanding of System Design, Scalability, Performance Optimization, and High Availability.

- Knowledge of AI/ML integration, LLMs, or Generative AI is an added advantage.

Required Qualifications:

- Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related discipline.

- 510 years of experience in software engineering, platform development, or enterprise technology.

- Proven experience leading complex technical projects and architecture initiatives.

- Strong analytical, problem-solving, and decision-making skills.

- Excellent communication and stakeholder management abilities.

- Experience working in Agile/Scrum development environments.

Preferred Skills:

- Experience with Generative AI, LLM integration, AI Agents, or Machine Learning platforms.

- Knowledge of cybersecurity best practices and secure software development.

- Experience building SaaS products or enterprise digital platforms.

- Exposure to Data Engineering, MLOps, or Big Data technologies.

- Cloud certification (AWS, Azure, or GCP) is preferred.

What We Offer:

- Opportunity to work on cutting-edge technologies and enterprise-scale platforms.

- Collaborative, innovation-driven work environment.

- Exposure to AI, Cloud, Distributed Systems, and Digital Transformation initiatives.

- Career growth, technical leadership opportunities, and continuous learning.

- Competitive compensation and comprehensive employee benefits.