Team Lead-Infra Devops
WinWire
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Job summary
WinWire Technologies Inc. in Bangalore/Hyderabad seeks a Team Lead-Infra Devops with 8-10 years of AWS, Kubernetes, Terraform, and MLOps experience to design and run secure, scalable cloud infrastructure and CI/CD pipelines for AI-enabled applications.
You will implement IaC and DevSecOps, monitor performance and reliability, and partner with IT, AI Research Center, and Development Systems to deliver enterprise-grade platforms for regulated environments.
Qualifications
- 8-10 years of hands-on experience in AWS.
- 8-10 years of Kubernetes expertise.
- 8-10 years of Terraform / IaC experience.
- 8-10 years of Azure DevOps / GitHub Actions experience.
- 8-10 years of MLOps & AI platform deployment experience.
- 8-10 years of monitoring/observability (Prometheus, Grafana, Splunk).
- 8-10 years of Python & shell scripting.
- 8-10 years of Git & version control.
- 8-10 years of high availability & DR.
- 8-10 years of container security.
Responsibilities
- Cloud infrastructure & platform engineering for scalable AI workloads.
- Design and manage secure CI/CD pipelines for apps, models, and infra.
- Build AI platform deployment & MLOps pipelines with governance.
- Implement DevSecOps and regulatory compliance in pipelines.
- Monitor, log, and ensure high availability and reliability.
- Collaborate with IT, AI Research Center, and Dev teams; mentor engineers.
Skills
Tools
Job description
Experience: 8-10 years
Location: Bangalore / Hyderabad
Tagline: Enterprise DevOps Engineer | Cloud Native | Kubernetes | MLOps | AI Platform Engineering
Role Summary
We are seeking a highly experienced Senior DevOps Engineer to join our strategic AI transformation program focused on accelerating SDTM development through AI-enabled technologies. The ideal candidate will play a key role in designing, implementing, and managing scalable cloud infrastructure, CI/CD pipelines, AI/ML deployment platforms, and DevSecOps practices for a next-generation clinical data application.
The engineer will collaborate closely with Development Systems, IT, AI Research Center, Statistical Programming, and Application Engineering teams to establish a secure, automated, and highly available platform capable of supporting AI workloads, enterprise applications, and regulated clinical environments.
This role requires an individual with deep technical expertise in cloud-native technologies, Kubernetes, Infrastructure as Code (IaC), MLOps, and enterprise DevOps practices who can thrive under aggressive project timelines.
What You’ll Do
Cloud Infrastructure & Platform Engineering
- Cloud Infrastructure & Platform Engineering
- Design, implement, and maintain secure, scalable, and highly available cloud infrastructure supporting AI-enabled SDTM applications.Build cloud-native platforms using AWS, Azure, or GCP.Manage containerized environments using Kubernetes and Docker.Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar technologies.Optimize cloud infrastructure for cost, performance, scalability, and reliability.
- CI/CD & DevOps Automation
- Design and implement enterprise CI/CD pipelines for application, AI model, and infrastructure deployments.Automate build, testing, deployment, rollback, and release management processes.Integrate automated code quality, security scanning, and compliance validation into deployment pipelines.Support blue-green, canary, and zero-downtime deployment strategies.
- AI Platform & MLOps
- Build and manage infrastructure supporting AI/ML model training, deployment, monitoring, and lifecycle management.Implement MLOps best practices for versioning, model deployment, monitoring, and retraining.Collaborate with AI Research teams to operationalize Generative AI and LLM-based solutions in production.Support GPU-enabled environments for AI workloads.
- Security & Compliance
- Implement DevSecOps practices throughout the software development lifecycle.Ensure infrastructure complies with enterprise security policies and GxP/regulatory requirements.Manage IAM, secrets management, encryption, vulnerability remediation, and audit logging.Support disaster recovery, backup, and business continuity planning.
- Monitoring & Site Reliability
- Implement centralized logging, monitoring, observability, and alerting solutions.Monitor platform health, application performance, infrastructure utilization, and AI services.Drive proactive performance tuning and incident resolution.Ensure high availability and operational excellence of production environments.
- Cross-functional Collaboration
- Partner with Application Development, AI Research Center, Statistical Programming, Development Systems, and IT Operations teams.Participate in architecture reviews, release planning, sprint ceremonies, and technical design discussions.Mentor engineers on DevOps best practices and automation strategies.
- 8-10 years of experience in AWS
- 8-10 years of experience in Kubernetes
- 8-10 years of experience in Terraform / Infrastructure as Code (IaC)
- 8-10 years of experience in Azure DevOps / GitHub Actions
- 8-10 years of experience in MLOps & AI Platform Deployment – upskilling
- 8-10 years of experience in Monitoring & Observability (Prometheus, Grafana, Splunk)
- 8-10 years of experience in Python & Shell Scripting
- 8-10 years of experience in Git & Version Control
- 8-10 years of experience in High Availability & Disaster Recovery
- 8-10 years of experience in Container Security
Good to Have
Preferred Life Sciences experience:Clinical trial data CDISC standardsSDTM domainsSAS programming conceptsClinical data transformation processes.Ability to understand statistical programming workflows and translate them into technical solutions.
What Success Looks Like (6–12 Months)
Deliver a secure, scalable, and highly available cloud platform for AI-enabled SDTM development.Implement fully automated CI/CD pipelines for application, infrastructure, and AI model deployments.Enable seamless deployment and operationalization of Generative AI and LLM-based solutions.Establish Infrastructure as Code (IaC) and DevSecOps practices to improve deployment speed, consistency, and security.Ensure platform reliability with comprehensive monitoring, observability, and incident management.Optimize cloud infrastructure for performance, scalability, and cost efficiency.Support GxP-compliant, enterprise-grade deployment processes for clinical applications.Enable faster release cycles while maintaining high levels of security, quality, and operational excellence.Collaborate effectively across Development Systems, IT, AI Research Center, and Statistical Programming teams to accelerate the AI-driven SDTM transformation initiative.
Why Join WinWire: Your Path to Professional Excellence in the Age of AI
As an Employer of Choice, WinWire offers an exceptional workplace culture, industry recognition, and an unwavering commitment to employee growth. Here is why top talent chooses us:
- AI-First. Globally Recognized: Honored at the World Economic Forum in Davos for our pioneering "Agentic AI @ Scale" work, cementing our position as a forward-thinking, AI-first services firm shaping the future of enterprise technology. Read Press Release
- Microsoft Gold Standard: A 6x Microsoft Global Partner of the Year Winner/Finalist — reflecting our consistent delivery of industry-leading solutions and our deep, trusted partnership with Microsoft. Learn more about our MSFT relationship
- Joining the NTT DATA Family: WinWire (Part of NTT DATA), a $30 billion global leader in AI, digital business, and technology services. This means greater career stability, broader client exposure, and access to a vast landscape of opportunities across a truly global organization. Read Press Release
- Award-Winning Culture: Certified as a Best Place to Work® four times, our workplace culture is not just a talking point — it is a proven, recognized commitment to creating an environment where people genuinely thrive. Watch video
- People-First Environment: With a strong 4.0 Glassdoor rating , our employees speak for themselves. We prioritize wellbeing, inclusivity, and a culture of respect at every level of the organization.
- Invest in Your Growth: From continuous learning programs to structured career development pathways, we equip our team with the skills, tools, and opportunities needed to grow and lead in the age of AI.
Our Culture Score
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