Quick Overview
Job Description
Job Description
We are seeking an experienced DevOps Engineer to support applications by enabling secure, reliable, and scalable software delivery in a highly regulated financial environment. This role focuses on CI/CD engineering, cloud infrastructure automation, production reliability, security, compliance, and software engineering.
Key Responsibilities
Design, build, and maintain scalable CI/CD pipelines using enterprise tools such as GitLab, Jenkins, and Terraform Enterprise.
Troubleshoot pipeline failures and continuously optimize performance, reliability, and execution efficiency.
Develop and standardize reusable CI/CD templates and promote engineering best practices across teams.
Support migration from legacy CI/CD tools to modern platforms and GitOps-based workflows.
Provision and manage cloud infrastructure using Infrastructure as Code (IaC) technologies such as Terraform and CloudFormation.
Ensure consistency, stability, and scalability across development, testing, and production environments.
Support AWS cloud platforms and containerized applications using Docker and Kubernetes.
Plan and execute application deployments with minimal downtime and operational risk.
Monitor systems and pipelines, investigate incidents, and perform Root Cause Analysis (RCA).
Integrate security controls and compliance checks into CI/CD pipelines using DevSecOps practices.
Manage secrets, credentials, and access controls in accordance with enterprise security standards.
Collaborate with engineering, SRE, and security teams to improve system reliability and software delivery processes.
Develop and maintain full-stack applications, APIs, and automation services using modern programming frameworks, ensuring seamless integration with CI/CD pipelines, cloud infrastructure, and enterprise platforms.
Design, build, and optimize developer self-service tools, internal platforms, and automation solutions using Python, Java, JavaScript/TypeScript, or similar technologies to improve engineering productivity and operational efficiency.
Leverage AI/ML-driven tools and automation to improve pipeline efficiency, anomaly detection, incident response, and operational insights.
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience.
8+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or related roles.
Hands-on experience with CI/CD tools such as GitLab, Jenkins, GitHub Actions, or similar platforms.
Strong experience with Infrastructure as Code, with Terraform preferred.
Strong experience with AWS and cloud platforms.
Experience with containerization technologies such as Docker.
Strong programming skills in at least one language, preferably Python or Java, with a software engineering/developer mindset.
Ability to design, develop, test, debug, and optimize scalable applications, APIs, automation frameworks, and platform services.
Proficiency in scripting using Python, Bash, or similar technologies for automation.
Experience with monitoring and observability tools such as Splunk, Prometheus, Grafana, and CloudWatch.
Strong understanding of system reliability, deployment processes, production support, and troubleshooting.
Preferred Qualifications
Experience with Kubernetes, including EKS or similar orchestration platforms.
Experience within financial services or other highly regulated environments.
Familiarity with compliance frameworks such as SOC 2 and NIST.
Knowledge of modern deployment strategies, including blue/green and canary deployments.
Experience with DevSecOps practices and security tools.
Experience working in Agile/Scrum delivery environments.
Experience with full-stack application development using modern frontend frameworks and backend technologies.
Experience with GitOps tools and practices.
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