Senior DevOps Engineer, AI-Native

Job not on LinkedIn

🔥 13 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 11%

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Logo of 4Pharma Ltd

4Pharma Ltd

11 - 50 employees

💼 Consulting

🍽️ Food & Beverage

📦 Logistics

Consulting • Food & Beverage • Logistics

4Pharma Ltd is a contract research organization (CRO) that specializes in biostatistics, data management, and medical writing for pharmaceutical, biotechnology, medical device, and food companies. With a commitment to customer satisfaction and high-quality work, 4Pharma combines industry experience with a flexible service approach, focusing on data-driven solutions. The company's expertise includes data warehousing, statistical programming, data standardization, and SAS solutions, and they have a track record of successful global regulatory submissions.

📋 Description

• Build and operate scalable cloud infrastructure and CI/CD pipelines across AWS environments • Automate deployments and platform operations using infrastructure as code • Manage containerized and serverless workloads in production • Improve reliability, security, observability, and cost efficiency • Leverage AI-driven automation to accelerate delivery and platform improvements • Take ownership of key platform initiatives and deliver value with minimal ramp-up • Implement automation that reduces operational effort and improves delivery speed • Enable greater self-service for development teams • Drive measurable improvements in reliability, scalability, and operational efficiency • Become a trusted technical expert for cloud infrastructure and platform operations • Collaborate with platform and DevOps engineers, product engineering teams, security, data, and cloud specialists across multiple countries

🎯 Requirements

• 5+ years of experience in DevOps, cloud, platform, or infrastructure engineering • Strong experience with AWS, infrastructure as code, and cloud automation • Expertise in Kubernetes, Linux, Git, and automation scripting • Experience building and operating production systems at scale • Regular use of AI-powered engineering tools such as Cursor, GitHub Copilot, or Claude Code • Strong communication, documentation, and problem-solving skills • Experience in regulated industries such as healthcare or life sciences is an advantage • Experience with AI-powered operational tooling, agents, MCP integrations, or RAG solutions is an advantage • AWS certifications and incident management experience are advantageous • Experience with observability platforms such as Grafana, Prometheus, or OpenTelemetry is an advantage • Experience working across AWS and Azure environments is an advantage

🏖️ Benefits

• Flexible and autonomous work environment • Collaboration with global, cross-country, multicultural teams • Opportunity to shape the future of precision medicine and healthcare innovation • Opportunity to make a measurable impact on healthcare innovation • Globally distributed engineering team • AI-powered engineering tools and modern platform engineering environment

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