DevOps Engineer

About the Role:

We are seeking an experienced Dev Ops Engineer to join our Dev Ops team and drive Dev Ops Initiatives for our next-generation banking platform.

Finzly is looking for an experienced Dev Ops Engineer who thrives on ownership, accountability, and delivering reliable infrastructure on scale. You’ll take charge of building, automating, and optimizing our systems — ensuring stability, scalability, and security across all environments. This role requires a hands‑on technologist with deep Dev Ops expertise, strong problem‑solving skills, and a delivery‑focused mindset along with AWS Networking experience related to VPN, Private link etc

• Lead the design, automation, and management of large‑scale AWS infrastructure across multi‑account environments using services such as EKS, EC2, VPC, Route
  53, Cloud Front, RDS, S3, Cloud Watch, and others.
• Architect, implement, and manage CI/CD pipelines using Jenkins, including Groovy‑based shared libraries and custom pipeline templates to support build, deploy, and security scanning stages.
• Enhance pipeline efficiency by integrating Dev Sec Ops  tools (Sonar Qube, Trivy, Veracode, or AWS Inspector) to automate code quality and security checks.
• Manage and maintain Kubernetes clusters — including Helm‑based application deployments, version upgrades, patch management, autoscaling, and performance tuning.
• Develop and enforce Infrastructure‑as‑Code (IaC) standards using Terraform, ensuring consistency and reusability across teams.
• Implement and govern branching strategies (Git Flow, feature/hotfix branches) to enable parallel development and controlled releases.
• Apply strong Linux system administration fundamentals to troubleshoot, secure, and optimize workloads.
• Design and support event‑driven architectures using the Serverless Framework, AWS Lambda, SNS, SQS, and API Gateway for scalable asynchronous workflows.
• Manage and optimize relational databases (MySQL, Oracle) for connectivity, tuning, and availability.
• Build and maintain observability stacks (Datadog, Prometheus, Grafana, Cloud Watch) for proactive monitoring, logging, and alerting.
• Explore and integrate AI and search technologies in AWS, including Bedrock Knowledge bases and Agents, into existing Dev Ops automation and monitoring pipelines.
• Champion best practices around security, cost optimization, and operational reliability across environments.
• Design and manage scalable connectivity solutions including VPCs, Direct Connect, Private links, VPNs, Bastion hosts etc.
• Oversee network integration between AWS cloud and external Fed Now Datacenters and Core banking systems.

• 5 years of hands‑on Dev Ops or Site Reliability Engineering experience.
• Strong hands‑on experience with Jenkins and Groovy, creating and maintaining shared libraries and custom pipelines.
• Deep expertise with AWS core services (EKS, EC2, VPC, Lambda, API Gateway, RDS, S3, SNS, SQS, Cloud Watch).
• Experience implementing and maintaining event‑driven architectures and serverless systems.
• Solid understanding of branching strategies (Git Flow, trunk‑based, hotfix flows).
• Strong hands‑on experience with Helm for packaging, versioning, and managing Kubernetes deployments.
• Proficiency with Terraform or equivalent IaC tools.
• Strong scripting experience in Python and Bash.
• Experience with MySQL and Oracle databases for backup, performance tuning, and failover management.
• Excellent understanding of Linux administration, networking, and system troubleshooting.
• Experience building and maintaining robust monitoring and alerting stacks using Datadog, Prometheus, Grafana, or Cloud Watch.
• Familiarity with AI and data processing tools in AWS (e.g., Bedrock, Open Search).
• Strong understanding of security, cost management, and scalability principles.
• 3+ years of experience with L2/L3 protocols, routing, DNS, load balancing, NAT, BGP, and IPSEC.

• A positive mindset and a strong can‑do attitude.
• Proven ability to work collaboratively in Agile / Scrum teams.
• Demonstrated success working on large, complex distributed systems.
• A sense of extreme ownership — taking full responsibility for the quality,…