WeekdayWeekday

AWS DevOps Manager

Added 18 days ago

**This role is for one of the Weekday's clients

**Min Experience: 8 years

Location: Hyderabad

JobType: full-time

We are seeking a highly skilled and forward-thinking AWS + Generative AI + DevOps Manager to lead the design, development, and deployment of next-generation AI-powered applications. This role requires a strong blend of cloud architecture expertise, hands-on DevOps leadership, and deep knowledge of Generative AI frameworks such as LangChain.

As a key technology leader, you will drive innovation by leveraging AWS services and modern AI capabilities to build scalable, secure, and intelligent systems. You will work closely with cross-functional teams including engineering, data science, and product to deliver robust AI-driven solutions.

Key Responsibilities:

  • Lead end-to-end architecture, development, and deployment of applications on AWS cloud infrastructure.
  • Design and implement scalable solutions using Generative AI (GenAI) technologies and frameworks like LangChain.
  • Build and manage AI pipelines integrating LLMs, embeddings, vector databases, and APIs.
  • Drive DevOps best practices including CI/CD pipeline design, infrastructure as code (IaC), monitoring, and automation.
  • Manage and optimize AWS services such as EC2, S3, Lambda, ECS/EKS, API Gateway, and CloudFormation/Terraform.
  • Collaborate with data scientists to productionize machine learning and GenAI models.
  • Ensure system reliability, performance, security, and cost optimization across environments.
  • Lead and mentor a team of engineers, fostering a culture of innovation and continuous improvement.
  • Implement observability tools and practices for logging, monitoring, and alerting.
  • Stay updated with emerging trends in Generative AI, cloud technologies, and DevOps methodologies.

Required Skills & Expertise:

  • Strong hands-on experience with AWS cloud platform and its core services.
  • Proven expertise in Generative AI (GenAI), including working with large language models (LLMs).
  • Practical experience with LangChain for building AI-powered applications and workflows.
  • Deep understanding of AWS DevOps practices, including CI/CD tools (Jenkins, GitHub Actions, CodePipeline).
  • Experience with infrastructure as code tools such as Terraform or AWS CloudFormation.
  • Familiarity with containerization and orchestration tools like Docker and Kubernetes (EKS preferred).
  • Experience integrating AI/ML models into production environments.
  • Strong programming skills in Python and/or other relevant languages.
  • Knowledge of vector databases, prompt engineering, and AI model evaluation techniques.
  • Solid understanding of security, compliance, and cloud governance.

Preferred Qualifications:

  • Experience in deploying and managing LLM-based applications at scale.
  • Exposure to MLOps and AI lifecycle management.
  • AWS certifications (Solutions Architect, DevOps Engineer) are a plus.
  • Experience with data pipelines and big data tools is advantageous.

Leadership & Soft Skills:

  • Strong problem-solving and analytical thinking abilities.
  • Excellent communication and stakeholder management skills.
  • Proven experience leading and mentoring technical teams.
  • Ability to work in a fast-paced, innovation-driven environment.