DevOps Engineer

DevOps Engineer

Mixed-Cloud Platform & Release Engineering

Position Overview

We are seeking a skilled DevOps Engineer to help build operate and continuously improve the CI/CD pipelines and infrastructure that support our mobility products. This is a hands-on individual contributor role responsible for the reliability security and velocity of build and release automation across a hybrid environment that includes Amazon Web Services (AWS) Microsoft Azure and on-premises data centers.

You will work alongside a team of DevOps engineers SREs and release engineers partnering closely with Software Engineering QE Architecture and Information Security to help hundreds of microservices ship safely multiple times per day. Success in this role is measured by your contributions to deployment frequency change failure rate mean time to recovery (MTTR) platform availability and the security posture of the delivery pipeline.

Essential Responsibilities

CI/CD & Release Engineering

• Build maintain and continuously improve CI/CD pipelines supporting hundreds of microservices and applications including pipeline-as-code standards build artifacts container images and deployment automation across Azure DevOps and GitHub Actions.

• Contribute to measurable improvements in DORA metrics: deployment frequency lead time for changes change failure rate and time to restore service.

• Implement and maintain release patterns (blue/green canary feature flags) rollback procedures and pre-production validation gates.

• Partner with QE to embed automated testing unit integration contract performance and security into pipelines so that quality is enforced before production.

Hybrid Cloud & Infrastructure Operations

• Build and operate infrastructure across AWS Azure and on-premises data centers including compute networking storage identity and connectivity between environments (VPN ExpressRoute Direct Connect peering and transit).

• Manage and support Kubernetes (EKS AKS and on-prem clusters) container registries service meshes ingress controllers and supporting middleware.

• Write and maintain Infrastructure-as-Code (IaC) using Terraform and platform-native tooling (CloudFormation ARM/Bicep); participate in drift detection peer review and policy-as-code on all infrastructure changes.

• Support capacity planning cost optimization (FinOps) and rightsizing efforts across cloud and on-prem footprints.

Observability Reliability & Incident Response

• Build and maintain the observability stack metrics logs traces and synthetic monitoring and help define SLOs SLIs and error budgets for critical services.

• Participate in on-call rotations and act as an incident responder for production events contributing to root-cause analysis and tracking corrective actions to completion.

• Support chaos engineering exercises game days disaster recovery testing and business continuity exercises to validate the resilience of hybrid systems.

Security & Compliance

• Partner with Information Security to implement shift-left security practices: SAST DAST SCA secrets scanning container image scanning and IaC policy scanning in every pipeline.

• Manage secrets certificates and identity infrastructure across cloud and on-prem environments (AWS Secrets Manager Azure Key Vault IAM RBAC).

• Help maintain audit readiness for SOC 2 PCI-DSS and other regulatory frameworks applicable to mobility and payments processing by producing evidence of pipeline controls access management and change governance.

Cross-Functional Collaboration

• Partner with Software Engineering to ensure new services are built with pipeline observability and infrastructure templates from day one not bolted on later.

• Work with Architecture to align platform direction with the broader technology roadmap including migrations between legacy and modern platforms.

• Document runbooks pipeline standards and infrastructure patterns so that knowledge is shared across the team.

• Respond to system issues participate in high-priority incident calls and support emergency activities outside of standard hours as needed.

Required Qualifications

• Bachelors degree in Computer Science Engineering or related field or equivalent professional experience.

• 3 years of experience in DevOps SRE Platform Engineering or Cloud Infrastructure roles.

• Hands-on experience operating production systems in at least one of the following: AWS Azure or on-premises data centers with an interest in developing depth across a hybrid environment.

• Experience with CI/CD platforms specifically Azure DevOps and GitHub Actions (or comparable: Jenkins GitLab CI CircleCI) including writing and maintaining pipeline-as-code.

• Working experience with Infrastructure-as-Code (Terraform preferred; CloudFormation ARM/Bicep Ansible Puppet or Chef a plus).

• Experience with container orchestration (Kubernetes EKS AKS or self-managed) and container build/registry workflows (Docker ACR ECR Harbor).

• Proficiency in scripting and automation in one or more of: Python Bash PowerShell Go or TypeScript/JavaScript.

• Working knowledge of Git workflows branching strategies and code review practices.

• Familiarity with observability tooling such as Datadog New Relic Splunk Prometheus Grafana ELK or Azure Monitor / CloudWatch.

• Willingness to participate in on-call rotations and respond to production incidents.

• Clear concise written and verbal communication skills.

Preferred Qualifications

• Experience in mobility transportation tolling parking or other regulated high-volume transaction-processing environments.

• Exposure to compliance regimes such as SOC 2 PCI-DSS ISO 27001 or FedRAMP.

• Hands-on experience with service mesh API gateways or zero-trust networking patterns.

• Experience with FinOps practices and cloud cost management tooling (CloudHealth Apptio native cost explorers).

• Experience migrating workloads between on-prem and cloud or between cloud providers.

• Relevant certifications: AWS Solutions Architect / DevOps Engineer Azure Administrator / DevOps Engineer Associate Certified Kubernetes Administrator (CKA) HashiCorp Terraform Associate.

• Familiarity with data and AI/ML platform operations (model registries feature stores ML pipelines).

What Success Looks Like in the First 9 Months

• Within 90 days: ramped up on the teams CI/CD platform infrastructure and observability stack across AWS Azure and on-prem; owning at least one pipeline or service area independently.

• Within 6 months: contributing measurable improvements to deployment frequency and change failure rate for owned pipelines; actively participating in the on-call rotation and incident response.

• Within 9 months: recognized as a go-to contributor for at least one platform domain (CI/CD cloud infrastructure observability or security); mentoring newer engineers and contributing to team standards.