Site Reliability Engineer

🕒 April 29

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 53%

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Tookitaki

51 - 200 employees

🤖 Artificial Intelligence

Artificial Intelligence

Tookitaki is the most intelligent financial crime prevention platform, distinguished by its innovative Federated AI Approach. This pioneering method leverages collective intelligence based AI technologies for the detection and prevention of money laundering and fraud, setting new standards in the industry. The company has gained recognition from industry leaders such as the Financial Action Task Force (FATF) and has been honored with numerous awards, including the World Economic Forum Technology Pioneer. Serving some of the world's most prominent banks and fintech companies, Tookitaki is redefining financial crime detection and prevention.

📋 Description

• Help maintain and scale infrastructure for flagship products—FinCense and the AFC Ecosystem. • Collaborate with engineering, DevOps, and client success teams to operationalize deployments. • Build and maintain monitoring, alerting, and logging systems using tools like Prometheus, Grafana, and ELK. • Automate infrastructure provisioning and application deployment using Terraform, Ansible, or Helm. • 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.

🎯 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.

🏖️ 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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