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Revolutionising financial crime prevention for banks and fintechs through privacy protected federated learning
Site Reliability Engineer
Location
India
Posted
75 days ago
Salary
0
Seniority
Senior
Job Description
Site Reliability Engineer
Tookitaki
• Ensure high availability, performance, and scalability of our platforms. • Collaborate with engineering, DevOps, and client success teams. • Build and maintain monitoring, alerting, and logging systems using tools like Prometheus, Grafana, and ELK. • Respond to incidents and outages, conduct post-mortems, and implement corrective actions. • Automate infrastructure provisioning and application deployment using Terraform, Ansible, or Helm. • Contribute to CI/CD pipelines, improve reliability and speed of software delivery (GitLab CI, Jenkins, etc.). • Manage and troubleshoot Docker containers and Kubernetes clusters. • Operate within AWS (preferred) or GCP environments. • Implement and monitor TLS/SSL, RBAC, SSO, and secure API practices. • Work closely with developers, infra engineers, and support teams to ensure production readiness.
Job Requirements
- Bachelor’s degree in Computer Science, Engineering, or related technical field.
- 3–6 years in Site Reliability Engineering, DevOps, Platform Engineering, or a related role.
- Experience with production environments and live system debugging.
- Kubernetes, Docker, Helm – experience deploying and scaling services.
- Linux administration and command-line debugging.
- Hands-on with AWS (preferred) or GCP cloud platforms.
- Scripting in Bash and Python for automation and monitoring tasks.
- Experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or Datadog.
- Familiarity with databases (e.g., MariaDB, ScyllaDB) and SQL/CQL querying.
- Strong problem-solving and debugging skills.
- Ability to work in on-call rotations and high-pressure production environments.
- Excellent communication and documentation abilities.
Benefits
- Competitive compensation
- Work on a globally recognized RegTech platform transforming financial crime prevention.
- Exposure to cutting-edge AI and big data infrastructure (Spark, Kafka, ScyllaDB, Flink).
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