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Weekday AI

Senior Backend Cloud Infrastructure Engineer

LocationBengaluru, Karnataka, India
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentWeekday's Client via platform
Company size10,000+ people
PostedOct 6, 2026 · 6d ago
Verified live10h ago
At a glanceSummarised by Seekless from the posting.
Must have13
5+ years of experience in software engineering, cloud infrastructure, SRE or DevOps
Strong programming experience in Python, Go, Java or a similar language
Strong hands-on experience with AWS or other major cloud platforms
Strong understanding of Linux/Unix systems
Hands-on experience with Kubernetes and Docker
Experience with Terraform or other Infrastructure-as-Code tools
Strong understanding of networking concepts including TCP/IP, DNS, HTTP/HTTPS and load balancing
Experience building and managing CI/CD pipelines
Good understanding of distributed systems and microservices architecture
Experience with monitoring and observability tools
Strong debugging, troubleshooting and problem-solving skills
Strong understanding of software engineering principles, data structures and algorithms
Bachelor’s or Master’s degree in Computer Science, Engineering or a related field, or equivalent practical experience
Nice to have7
Experience with Kafka or other distributed messaging systems
Experience with service mesh technologies
Experience with AWS networking, IAM and security services
Experience operating highly available production systems at scale
Experience with GitOps tools such as ArgoCD
Experience with Prometheus, Grafana, ELK/OpenSearch or similar observability platforms
Contributions to internal platforms or open-source projects
Skills
AWS
Terraform
Docker
Kubernetes
Python
Java
Go
Linux
Kafka
ArgoCD
Prometheus
Grafana
ELK
OpenSearch
This role is for one of Weekday’s clients
Min Experience: 5+ years
Location: Bengaluru
JobType: full-time
About the role
We are looking for a passionate and experienced Senior Software Engineer – Cloud Infrastructure to design, build and maintain highly scalable, reliable and secure cloud infrastructure and platform services. The role involves working closely with engineering, SRE and DevOps teams to build automation and infrastructure capabilities that enable our applications to operate reliably at scale.
Requirements
Key Responsibilities:
• Design, develop, and maintain scalable cloud infrastructure and platform services.
• Build automation for provisioning, deployment, monitoring and management of cloud resources.
• Work extensively with AWS cloud services and cloud-native technologies.
• Develop Infrastructure-as-Code using tools such as Terraform.
• Design and manage containerized workloads using Docker and Kubernetes.
• Build and maintain CI/CD pipelines for automated software delivery.
• Develop automation and internal tooling using Python, Java or similar programming languages.
• Improve system reliability, scalability, availability, and performance.
• Troubleshoot complex infrastructure, networking, and production issues.
• Work with distributed systems, microservices, and service-to-service communication.
• Implement observability solutions covering monitoring, logging, alerting, and performance metrics.
• Collaborate with Software Engineering, SRE, Security and DevOps teams to improve engineering productivity.
• Participate in architecture discussions, design reviews, and technical decision making.
• Mentor junior engineers and contribute to engineering best practices.
Required Skills & Qualifications:
• 5+ years of experience in software engineering, cloud infrastructure, SRE or DevOps.
• Strong programming experience in Python, Go, Java or a similar language.
• Strong hands-on experience with AWS or other major cloud platforms.
• Strong understanding of Linux/Unix systems.
• Hands-on experience with Kubernetes and Docker.
• Experience with Terraform or other Infrastructure-as-Code tools.
• Strong understanding of networking concepts including TCP/IP, DNS, HTTP/HTTPS and load balancing.
• Experience building and managing CI/CD pipelines.
• Good understanding of distributed systems and microservices architecture.
• Experience with monitoring and observability tools.
• Strong debugging, troubleshooting and problem-solving skills.
• Strong understanding of software engineering principles, data structures and algorithms.
Good to Have:
• Experience with Kafka or other distributed messaging systems.
• Experience with service mesh technologies.
• Experience with AWS networking, IAM and security services.
• Experience operating highly available production systems at scale.
• Experience with GitOps tools such as ArgoCD.
• Experience with Prometheus, Grafana, ELK/OpenSearch or similar observability platforms.
• Contributions to internal platforms or open-source projects.
Education Bachelor’s or Master’s degree in Computer Science, Engineering or a related field, or equivalent practical experience.
Must-have skills
AWS, Cloud Infrastructure
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