Development and Operations Engineer

5 - 10 years

4 - 8 Lacs

Posted:12 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Design, implement, and maintain scalable and reliable cloud infrastructure on platforms like AWS, GCP, or Azure.
  • Develop and manage CI/CD pipelines to automate the build, test, and deployment of our services.
  • Implement and improve monitoring, logging, and alerting systems to ensure high availability and performance.
  • Automate infrastructure provisioning and configuration using Infrastructure-as-Code tools (e.g., Terraform).
  • Write high-quality, maintainable, and well-tested code for infrastructure automation and services.
  • Manage containerization and orchestration using technologies like Docker and Kubernetes.
Technical Design & Contribution:
  • Contribute significantly to technical design and architecture discussions, considering reliability, scalability, security, and cost-effectiveness.
  • Collaborate with software engineers and AI researchers to define infrastructure requirements and translate them into effective technical solutions.
  • Evaluate and prototype new technologies and frameworks relevant to MLOps, platform infrastructure, and DevOps practices.
  • Take ownership of the technical implementation for specific infrastructure components or pipelines.
Collaboration & Knowledge Sharing:
  • Work closely with teammates and cross-functional partners (Product, Research, other Engineering teams) to ensure seamless delivery and operation of our services.
  • Share knowledge, document designs and processes effectively. May mentor junior engineers on DevOps practices.
Operational Excellence:
  • Troubleshoot and debug complex issues in production environments, spanning infrastructure, networking, and service layers.
  • Participate in on-call rotation to address production issues and ensure system stability.
  • Contribute to improving the scalability, performance, security, and cost-effectiveness of the platform.
What You Should Bring
  • Bachelors degree (or equivalent practical experience) in Computer Science, Engineering, or a related field.
  • 5+ years (Senior) of professional DevOps or SRE (Site Reliability Engineer) experience.
  • Strong proficiency in one or more scripting or programming languages (e.g., Python, Go, Bash).
  • Extensive experience building, deploying, and operating services in a cloud environment (AWS, GCP, or Azure).
  • Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
  • Experience with CI/CD tools (e.g., GitLab CI/CD, Jenkins, GitHub Actions).
  • Solid understanding of Infrastructure-as-Code (IaC) principles and experience with tools like Terraform. Solid understanding of computer science fundamentals (data structures, algorithms, operating systems, networking).
  • Experience with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, DataDog, NewRelic).
  • Interest in or practical experience with AI/ML concepts and MLOps practices.
  • Experience with software development best practices (testing frameworks, code reviews).
  • Strong problem-solving skills and attention to detail. Good communication and collaboration skills.
Preferred Qualifications
  • Experience with platform or infrastructure-as-a-service components.
  • Experience with building and maintaining developer tools or internal platforms.
  • Hands-on experience with agentic AI concepts/frameworks (e.g., LangChain, LlamaIndex), vector databases (e.g., Pinecone, Weaviate), or RAG techniques.
  • Experience with security best practices for cloud infrastructure and applications.

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