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Thiruvananthapuram · On-site · 6-9 Yrs · Oct 10
1 views
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Senior Cloud Reliability Engineer
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
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.
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Job application FAQ
Last updated 3 November 2026
- How do I apply for Senior Cloud Reliability Engineer at ThoughtSpot?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. ThoughtSpot may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Cloud Reliability Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Cloud Reliability Engineer remote or on-site in Thiruvananthapuram, Keralam?
- This listing is marked on_site with location Thiruvananthapuram, Keralam. Confirm details on the job description before applying.
- What skills matter for this Senior Cloud Reliability Engineer role at ThoughtSpot?
- This is a senior Senior Cloud Reliability Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.