AWS Devops Developer
Takeda · IND - Bengaluru
Takeda · IND - Bengaluru
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description The Future Begins Here At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. At Takeda’s ICC we Unite in Diversity Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team About the Role As a DevOps Engineer, you will design, implement, and enhance our modern DevSecOps ecosystem. You will work closely under the guidance of the Senior DevOps Engineer to build secure, scalable CI/CD pipelines, automate cloud infrastructure, and integrate AI‑driven security and operational practices. This role is hands‑on, requiring strong technical skills, a passion for automation, and an eagerness to adopt cutting‑edge technologies including generative AI and AI‑augmented DevSecOps tools. You will collaborate with development, security, and operations teams to ensure our cloud‑native applications meet the highest standards of security, performance, and reliability. This position will align of the ICC and report to the infrastructure architect for strategic direction as well as day-to-day management. How you will contribute: Demonstrate a strong CI/CD automation skills using AWS services. Troubleshoot complex DevOps, CI/CD, Kubernetes, and AWS infrastructure issues with deep hands‑on expertise. Drive adoption of cloud‑native architectures and AWS managed services across product and platform teams. Reduce operational overhead through automation, AI‑driven workflows, and standardized deployment patterns. Enhance platform reliability, security posture, and scalability through continuous optimization. Implement AI‑powered DevSecOps capabilities including intelligent scanning, anomaly detection, and auto‑remediation. Build and maintain secure CI/CD pipelines with integrated security gates, compliance checks, and IaC scanning. Jump‑start product teams on DevSecOps methodology, tools, templates, and secure delivery best practices. Roles and Responsibilities DevSecOps Execution & Pipeline Management • Implement, build, maintain, and enhance CI/CD pipelines with security embedded across all stages of SDLC. • Troubleshoot Github action pipelines and ensure consistency of execution across various apps/product teams. • Implement continuous testing, chaos testing, and service virtualization pipelines. • Implement automated deployment processes enabling rapid, reliable, zero‑downtime releases. • Integrate security scanning tools (SAST, SCA, secrets detection, container scanning) into CI/CD workflows. • Collaborate with the Senior DevOps Engineer to evolve the organization’s DevSecOps framework. AI‑Driven DevSecOps & Automation • Implement AI‑powered security scanning tools (LLM‑based code analysis, AI‑driven SAST/SCA, anomaly detection). • Use generative AI (GenAI) to streamline automation, documentation, observability, and operational workflows. • Adopt AI‑driven threat detection solutions to identify vulnerabilities, misconfigurations, and behavioral anomalies in real time. • Implement AI‑based predictive scaling, cost optimization, and performance tuning for cloud environments. • Utilize policy‑as‑code and AI‑assisted compliance tools to enforce security standards and accelerate audits. Infrastructure & Cloud Operations • Build and manage cloud infrastructure (AWS) using Infrastructure as Code (Terraform). • Implement terraform templates for provisioning network, storage, and cloud provider specific resources. • Support multi‑cloud architecture with a focus on security, observability, scalability, and uptime. • Contribute to the design and optimization of infrastructure to ensure future scalability and maintainability. • Implement robust backup and disaster recovery solutions. • Continuously monitor performance and cost metrics, recommending improvements where applicable. Containerization & Orchestration • Implement docker files, Kubernetes yaml files, helm charts. • Deploy and manage containerized applications using Kubernetes platforms (EKS, and AKS). • Implement Helm charts and ArgoCD/Harness to templatize application deployment processes. • Work with service mesh(Istio, Linkerd) or sidecar tools (Dapr) to support microservices, reliability and security. Monitoring, Logging & Reliability • I