Senior Backend Cloud Infrastructure Engineer
Weekday AI
Senior Backend Cloud Infrastructure Engineer
Weekday AI
Proactive software engineer recruitment via referrals
Weekday AI · Bengaluru, India · Full-time · Posted 2026-10-06
Workplace: on_site
Department: Weekday's Client via platform
This role is for one of Weekday’s clients
Min Experience: 5+ years
Location: Bengaluru
JobType: full-time
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.
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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Proactive software engineer recruitment via referrals
Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.
Explore more opportunities at Weekday AI