Senior Software Engineer

We are seeking Senior Innovation Engineer-Senior Software Engineer Category: Software Development/ Engineering Shift Timings: 1:00 pm to 10:00 pm Main location: Hyderabad Experience -6 to 12 years Work Type: Work from office Skill: AI/ML/Python/GenAI/G Employment Type: Full Time Position Description: We are looking for a Senior/Lead Engineer to design and build scalable cloud-native platforms and AI-driven solutions. The role involves architecting distributed systems, developing microservices-based applications, and deploying AI/ML and Generative AI solutions in production environments. The candidate will lead cloud architecture initiatives, ensure strong DevOps and MLOps practices, and collaborate with cross-functional teams to deliver secure, scalable, and high-performance enterprise applications. Your future duties and responsibilities Lead end-to-end design and development of scalable cloud-native products from ideation, PoC, pilot to production rollout. Architect and implement distributed systems using microservices, APIs, Docker containers, Kubernetes, and CI/CD pipelines. Build, deploy, and optimize AI/ML and Generative AI solutions including LLM-based applications, RAG pipelines, and vector databases. Implement strong MLOps practices including model lifecycle management, monitoring, versioning, and continuous improvement. Design highly available and resilient systems following 12-factor application principles with autoscaling and cost optimization. Own cloud architecture across AWS, GCP, or Azure ensuring security, performance, and compliance. Implement observability solutions for logging, monitoring, alerting, and performance tuning. Define and execute deployment strategies such as blue-green and canary releases for zero-downtime deployments. Collaborate with product and business teams to translate requirements into scalable technical solutions. Mentor engineers and drive engineering best practices. Required qualifications to be successful in this role Must to Have Strong experience with cloud platforms (AWS / GCP / Azure) Expertise in microservices architecture and distributed systems Hands-on experience with Docker and Kubernetes Experience with CI/CD pipelines and DevOps practices Experience building AI/ML or Generative AI solutions (LLMs, RAG pipelines, vector databases) Strong knowledge of API development and integration Experience implementing MLOps and model lifecycle management Experience with system monitoring, logging, and observability tools Good to Have Knowledge of 12-factor application design principles Experience with blue-green or canary deployment strategies Experience with cloud cost optimization and performance tuning Exposure to enterprise security and compliance standards Experience mentoring teams and guiding engineering best practices