Sr. DevOps Engineer

Solytics Partners is a Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting‑edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions.

Our offerings enable clients to streamline and future‑proof their risk, AML, and analytics processes, comply seamlessly with global regulations, and safeguard financial systems. Whether it’s solving complex challenges or driving operational efficiency, Solytics Partners is committed to empowering organizations with transformative tools to stay ahead in an evolving regulatory landscape.

Job Summary

We are seeking a talented DevOps Engineer to join our dynamic team and play a crucial role in maintaining and enhancing our business‑critical systems. This role requires designing, implementing, and managing highly available, scalable, and secure infrastructure on Google Cloud Platform (GCP).

Key Responsibilities

• Design, implement, and maintain highly available, scalable, and secure infrastructure on Google Cloud Platform (GCP) using Anthos, Terraform, Kubernetes, ISTIO, and ArgoCD.
• Architect and manage Kubernetes multi‑region deployments to ensure optimal performance and reliability across geographical regions.
• Implement event‑driven autoscaling using KEDA and Knative for efficient resource utilization and cost optimization.
• Streamline build and deployment processes using Maven, Gradle, Jenkins, and/or TeamCity to achieve continuous integration and continuous delivery (CI/CD).
• Set up robust tracing and observability tools, such as Stackdriver, Prometheus, Grafana, and Jaeger, to monitor system health, performance, and reliability.
• Collaborate closely with cross‑functional teams including development, QA, and operations to troubleshoot issues, optimize workflows, and improve system reliability.
• Stay current with industry trends and best practices in DevOps, cloud computing, and container orchestration technologies.

Key Requirements

• Bachelor's degree in Computer Science, Engineering, or related field. · 10+ years of experience in designing, deploying, and managing business‑critical systems in production environments.
• Extensive hands‑on experience with GCP services including Anthos, Kubernetes Engine, Compute Engine, Cloud Storage, etc.
• Proficiency in infrastructure as code (IaC) using Terraform for automating deployment and management tasks.
• Strong expertise in container orchestration with Kubernetes, including ISTIO service mesh and ArgoCD for GitOps workflows.
• Experience with Kubernetes multi‑region deployments and disaster recovery strategies.
• Knowledge of event‑driven architectures and serverless computing using KEDA and Knative.
• Familiarity with build automation and CI/CD pipelines using Maven, Gradle, Jenkins, and/or TeamCity.
• Google Cloud certification (e.g., Professional Cloud DevOps Engineer) is preferred but not required.
• Excellent problem‑solving skills, attention to detail, and ability to work effectively in a fast‑paced environment.
• Strong communication and collaboration skills, with the ability to work well in a cross‑functional team environment.

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