Senior DevOps Engineer
Finzly
Full Time7+ yearsPosted 5 days ago
Overview
Position Type
Full Time
Experience
7+ years
Job Description
Finzly is looking for an experienced Senior DevOps Engineer who thrives on ownership, accountability, and delivering reliable infrastructure at 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 DevOps expertise, strong problem-solving skills, and a delivery-focused mindset.
Key Responsibilities:
- Lead the design, automation, and management of large-scale AWS infrastructure across multi-account environments using services such as EKS, EC2, VPC, Route53, CloudFront, RDS, S3, CloudWatch, 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 DevSecOps tools (SonarQube, 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, CloudWatch) for proactive monitoring, logging, and alerting.
- Explore and integrate AI and search technologies in AWS, including Bedrock Knowledge bases and Agents, into existing DevOps automation and monitoring pipelines.
- Champion best practices around security, cost optimization, and operational reliability across environments.