About Us :

CLOUDSUFI is a Silicon Valley-based specialist Data Engineering & Cloud Technologies player with top-tier clients, favorable revenue mix, strong financial performance, and robust management. We pride ourselves in helping in the Data Discovery, Insights and Monetization for organizations.

We offer quality of work, opportunities to learn new platforms/technologies that will help young engineers put themselves ahead in their careers compared to their peers in the IT Services industry. CLOUDSUFI is a Data Science and Product Engineering company building Products/Solutions for Technology and Enterprise industries leveraging the advent of Cloud Hyper Scalers and AI/ML, NLP technologies.

The organization is built to scale with strong external/ internal tech capabilities and governance standards. Started in 2019, CLOUDSUFI is a family of 250 members working towards a common goal of making the enterprise data dance.

Key Responsibilities :

Reliability & Observability :

- Define and report SLOs, SLIs and error budgets; close monitoring gaps across every customer journey

- Own Datadog end to end (APM, logs, metrics, RUM, Synthetics, SLOs, dashboards) and manage monitors as code with Terraform

- Instrument Java, Python and Node.js services and keep alerts actionable by continuously removing noise

Incident Response :

- Act as Incident Commander; own PagerDuty services, escalation policies and integrations

- Lead root-cause analysis, blameless postmortems and weekly incident reviews; drive MTTD and MTTR down

Cloud, IaC & CI/CD :

- Operate and harden AWS workloads (ECS/Fargate, Lambda, API Gateway, Cognito, RDS, S3, SQS/SNS, IAM, VPC)

- Write and review Terraform at scale; maintain GitHub Actions / CodeBuild pipelines and service templates

- Partner with developers on Java / Spring Boot resilience : timeouts, retries, connection pools, JVM tuning

Security, Compliance & Cost :

- Run access reviews and key rotation; support SOC 2 and PCI controls and audit evidence

- Protect sensitive data in telemetry and work with InfoSec on Cloudflare WAF and attack detection

- Own observability spend : usage analysis, commit planning and optimisation

Automation & Leadership :

- Remove toil through automation, self-healing workflows and AI-assisted operations

- Act as SRE lead for the client : own the roadmap and sprint board, present the weekly status report, and mentor SREs

- Coordinate with engineering teams to unblock delivery

About You :

- 6+ years as an SRE, DevOps or Platform Engineer, including experience leading reliability for a production platform

- Strong Java or Python (both preferred) for automation and a good understanding of Spring Boot microservices

- Hands-on AWS, Datadog, PagerDuty and Terraform in production

- Proven SLO ownership and incident command for customer-facing, regulated systems

- Good to have working with Security teams on SOC 2, PCI or similar standards

- Excellent written and verbal communication; comfortable presenting to client leadership with US overlap

Bonus Points For :

- Experience with financial systems or loan origination platforms

- AIOps, LLM-based tooling or self-healing remediation in production

- AWS, Terraform or Datadog certifications, and FinOps experience