Job Title:
DevOps Engineer
Company: Adastra
Location: Shimoga, Karnataka
Created: 2025-12-20
Job Type: Full Time
Job Description:
BE/DEVOPS ENGINEER:As a Backend & DevOps Engineer, you’ll:· Build impactful AI platforms: Develop and scale solutions that optimize manufacturing, logistics, banking, and telco operations—delivering both financial savings and sustainability.· Work on diverse, high-stakes projects: From CO₂-saving optimization engines to GenAI-powered platforms for major enterprises.· Collaborate in cross-functional teams: Partner with data scientists, AI engineers, and business experts to deliver robust, production-ready systems.· Own the roadmap: Shape new features, ensure infrastructure stability, and support both internal and client stakeholders.· Broaden your technology expertise: Setting up infrastructure on major cloud providers, leveraging new managed services for AI/AIOps/MLOps area, solving challenging setups (e.g. LLMs on-premise).· Research: Looking for the most effective solutions to business problems, including researching existing products and platforms, integrating into a wide range of our customers’ internal and external systems.We required:· University degree in Computer Science or related technical field· 2+ years professional expertise with software engineering and Devops· Proficiency in backend development in Python and/or Kotlin· Proficiency with DevOps in cloud infrastructure (Azure, AWS), CI/CD pipelines· Experience with database management (SQL and/or noSQL)· Experience with Infrastructure as a Code solutions such as Terraform· A strong understanding of security best practices and performance optimization for scalable products· Self-motivated with an ownership mindset to take initiative and deliver results in a fast-paced environmentNice to have:· Experience with AI tools, frameworks, and APIs (e.g., OpenAI, Hugging Face, LangChain).· Experience with No-code/Low-code AI tools.· Familiarity with integrating LLMs into practical use cases in real-world applications.· Certifications in cloud platforms like Azure of AWS