Senior Cloud Reliability Engineer

Mode Analytics; Thiruvananthapuram; On-site; INR 7,000,000 - 12,000,000; Full time

Job summary

Mode Analytics is seeking a Senior Cloud Reliability Engineer to own availability, reliability, and security for a large-scale multi-cloud SaaS platform (AWS, GCP). You will operate Kubernetes-based control/data planes, implement AI-augmented automation, and drive incident response with blameless post-mortems.

You bring 6+ years in Enterprise SaaS Ops, Go/Python programming, and IaC experience with Terraform/Ansible, plus strong cloud security and observability skills.

Qualifications

• 6+ years of Enterprise SaaS Ops experience.
• Proficiency in Go and Python; IaC with Terraform and Ansible.
• Expertise in Cloud Security and/or Cloud networking.
• Experience with AI Ops tools and Agentic LLM.
• Knowledge of cloud services, Kubernetes, cloud databases, Elasticsearch/Opensearch, and microservice architecture.
• Experience implementing observability stacks (metrics, logs, tracing) and alerting in Cloud SaaS environments.
• Strong debugging and problem-solving across network, systems, database, and application layers.
• Certifications from AWS, Azure, GCP are a bonus.

Responsibilities

• Operate a high-scale multi-cloud SaaS platform (AWS, GCP) ensuring reliability, performance, and uptime for production workloads.
• Embed AI-driven workflows into SRE practices for anomaly detection, automated triage, runbook execution, and incident summarization to reduce MTTR.
• Lead capacity planning and scaling with autoscaling strategies to support SaaS growth.
• Architect and operate Kubernetes controller frameworks and enforce standards for cluster lifecycle and failover.
• Own operations of cloud-native databases and data infrastructure, including performance tuning and backup/recovery.
• Lead incident response and blameless post-mortems to permanent resolutions and prevention.
• Promote automation-first culture with self-healing systems and IaC tooling.

Skills

Go

Python

SRE/Production Ops

AI Ops

Observability

Incident response

Troubleshooting

On-call leadership

Cloud security

Kubernetes

Education

B.Tech. degree in Computer Science or equivalent

Tools

Terraform

Ansible

Kubernetes

Helm

GitOps

AWS

GCP

PostgreSQL

DynamoDB

MySQL

Elasticsearch/OpenSearch

Job description

Senior Cloud Reliability Engineer

We are seeking a Senior Cloud Reliability Engineer with deep enterprise SaaS operations expertise to own the availability, reliability, security, and efficiency of our Multi-Cloud (AWS, GCP) production SaaS platform. The ideal candidate brings hands-on experience running highly available, large-scale Kubernetes-based control and data planes, a strong bias toward automation and AI-augmented operations, and a proven track record in production security, capacity management, and cloud-native data infrastructure.

Responsibilities

• Operate a high-scale, multi-cloud (AWS, GCP) SaaS platform — ensuring reliability, performance, and uptime for business-critical production workloads.
• Embed AI and Agentic workflows into SRE practice: leverage AI Ops platforms and LLM-powered autonomous agents for anomaly detection, automated triage, runbook execution, and incident summarization to reduce MTTR.
• Drive capacity planning and scaling operations — proactively model growth, right-size infrastructure, and implement horizontal/vertical autoscaling strategies to support SaaS growth without reliability regression.
• Architect and operate Kubernetes controller frameworks governing both control plane and data plane services; define and enforce operational standards for cluster lifecycle, workload scheduling, autoscaling, and failover.
• Own operations of high-scale cloud-native databases and data infrastructure: PostgreSQL/RDS, DynamoDB, MySQL, Elasticsearch/OpenSearch, ElastiCache (Redis/Memcached) on AWS and GCP — including performance tuning, backup/recovery, and incident response.
• Lead incident response and blameless post-mortems for P0/P1 events; drive root cause analysis to permanent resolution and prevention — eliminating repeat incidents through systemic fixes, not workarounds.
• Define and enforce a culture of automation-first: identify and eliminate toil through self-healing systems, automated remediation pipelines, and infrastructure-as-code (Terraform, Helm, GitOps).
• Participate in on-call rotations for critical cloud infrastructure; serve as a senior escalation point and incident commander during high-severity events.
• Achieve quantifiable SaaS operational Excellence measured by related SLI/SLO/SLA

Required skills/qualifications

• B.Tech. degree in Computer Science or equivalent.
• At least 6+ years of Enterprise SaaS Ops experience
• Strong proficiency in programming, particularly with Go and Python, and experience with Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Expertise in Cloud Security and/or Cloud networking
• Experience with AI Ops tools, Agentic LLM.
• Experience/ Knowledge in Cloud Services, Kubernetes, Cloud Databases like Postgres/RDS/MySQL/DynamoDB, Elastic, Kafka, and Microservice architecture is a bonus.
• Experience in implementing and operating enterprise-grade observability ( metrics, logs, tracing), alerting stack in a Cloud SaaS environment
• Strong debugging and problem-solving skills (network, systems, database, and application).
• Advanced professional certifications from Cloud Providers ( AWS, Azure, GCP) in domains like K8s, Solution architecture, networking, and databases are a bonus.
• Full Stack Architecture/Development Experience is a bonus.