Sr. Software Engineer DevOps

Senior DevOps Engineer

47 Years of Experience

We are looking for a Senior DevOps Engineer with 47 years of hands-on experience designing implementing and supporting enterprise-grade DevOps and CI/CD solutions. The ideal candidate will have strong expertise in Microsoft Azure Azure DevOps YAML-based multi-stage pipelines Git/GitHub workflows DevSecOps Docker Kubernetes infrastructure automation and production release management.

The candidate should be capable of owning DevOps solutions end-to-endfrom source control and build automation through security validation artifact management deployment approvals monitoring troubleshooting and rollback. Experience with DataOps Snowflake CI/CD Azure Data Factory (ADF) Terraform/Bicep/ARM and Azure cloud services is highly desirable.

Role

Senior DevOps Engineer

Experience

47 Years

Primary Focus

Azure DevOps CI/CD DevSecOps Cloud & Infrastructure Automation

Cloud

Microsoft Azure

Source Control

Git / GitHub / Azure Repos

Containers

Docker / Kubernetes

Automation

YAML PowerShell Bash Python

Infrastructure as Code

Terraform / Bicep / ARM Templates

Preferred Domain Experience

DataOps Snowflake ADF Azure Cloud

Design develop implement and maintain end-to-end CI/CD pipelines using Azure DevOps.

Create reusable parameterized and secure multi-stage YAML pipelines for build test validation deployment and release automation.

Own DevOps solutions across development test/QA staging and production environments.

Implement deployment strategies such as rolling blue-green canary and controlled/manual promotion where appropriate.

Implement branch policies pull-request validation build validation approvals and environment protection mechanisms.

Manage Git/GitHub/Azure Repos workflows branching strategies merge policies tagging and release/versioning practices.

Integrate automated quality and security checks into CI/CD pipelines including static analysis dependency scanning secret detection and compliance gates.

Manage build artifacts package/version management artifact retention and promotion across environments.

Implement infrastructure provisioning and configuration management using Terraform Bicep or ARM templates.

Automate operational activities using PowerShell Bash Python or equivalent scripting languages.

Containerize applications using Docker and manage image build tagging scanning storage and deployment processes.

Deploy and manage containerized workloads on Kubernetes/AKS including deployments services config maps secrets ingress scaling and troubleshooting.

Implement secure authentication and authorization using Azure service connections managed identities Key Vault secrets and least-privilege access.

Integrate Azure Key Vault and other secret-management mechanisms into CI/CD pipelines without exposing credentials in logs or source control.

Monitor pipeline execution application deployments infrastructure health and production issues; perform root-cause analysis and corrective actions.

Support production releases change management deployment approvals release coordination rollback and recovery activities.

Design reliable rollback and recovery mechanisms for failed or partially completed deployments.

Collaborate with developers QA architects security teams and operations teams to improve deployment reliability and developer experience.

Identify opportunities to eliminate manual steps and continuously improve automation deployment frequency reliability and lead time.

Create and maintain technical documentation deployment standards runbooks troubleshooting guides and operational procedures.

Mentor junior DevOps engineers and contribute to DevOps standards reusable templates and best practices.

Strong hands-on experience with Azure DevOps Services: Repos Pipelines Boards Test Plans Artifacts Environments and Service Connections.

Advanced understanding of YAML pipeline concepts: stages jobs steps templates parameters variables variable groups conditions expressions dependencies and outputs.

Experience designing reusable pipeline templates and centralized CI/CD frameworks for multiple applications/projects.

Experience with CI triggers PR validation path filters scheduled/manual triggers branch policies and gated deployments.

Hands-on experience with environment approvals checks deployment gates and production release controls.

Strong understanding of pipeline agents agent pools self-hosted agents Microsoft-hosted agents caching workspaces and artifacts.

Ability to troubleshoot pipeline failures involving authentication permissions agents dependencies scripts artifacts and deployment tasks.

Implement security controls throughout the software delivery lifecycle rather than treating security as a final release step.

Integrate SAST dependency scanning container image scanning secret scanning and policy/compliance checks into CI/CD.

Apply least-privilege access secure service connections managed identities and controlled production permissions.

Protect secrets using Azure Key Vault or equivalent secret-management platforms.

Understand secure handling of credentials tokens certificates private keys and pipeline variables.

Support vulnerability remediation security findings triage and release blocking based on defined severity thresholds.

Strong understanding of Git commands branching merging rebasing cherry-picking tagging and conflict resolution.

Experience with GitHub/Azure Repos pull requests code reviews branch protection reviewers and merge strategies.

Experience with GitFlow trunk-based development or equivalent enterprise branching strategies.

Ability to define versioning and release strategies suitable for multiple environments.

Experience supporting hotfixes emergency releases rollback and release recovery.

Build optimized Docker images using Dockerfiles and multi-stage builds.

Understand image tagging registries image lifecycle vulnerabilities and immutable release practices.

Deploy and troubleshoot workloads in Kubernetes/AKS environments.

Hands-on understanding of Pods Deployments ReplicaSets Services ConfigMaps Secrets Namespaces Ingress probes requests/limits and autoscaling.

Troubleshoot common Kubernetes issues such as CrashLoopBackOff ImagePullBackOff pending pods service connectivity failed probes and configuration issues.

Understand Kubernetes rollout rollback scaling and deployment health validation.

Hands-on experience with Terraform Bicep or ARM templates for repeatable Azure infrastructure provisioning.

Understand Terraform state remote state modules variables outputs workspaces plan/apply and state locking.

Experience provisioning and managing Azure resources such as Resource Groups Storage Accounts Key Vault VNets NSGs Azure Kubernetes Service App Services and monitoring components.

Understand Azure RBAC subscriptions resource groups managed identities service principals and network/security fundamentals.

Implement infrastructure changes through CI/CD with validation plan/review approval and controlled deployment.

Knowledge of DataOps processes and CI/CD patterns for data engineering and analytics workloads.

Hands-on experience with Snowflake deployment and CI/CD including SQL versioning deployment ordering validation dry runs approvals and controlled execution.

Experience with Snowflake objects such as databases schemas tables views procedures roles and warehouse-related deployment considerations.

Knowledge of Azure Data Factory (ADF) pipelines linked services datasets triggers integration runtimes and CI/CD promotion.

Exposure to Databricks CI/CD Databricks Asset Bundles (DABs) notebooks/jobs/pipelines and environment promotion is an advantage.

Strong scripting ability in at least one of PowerShell Bash or Python.

Ability to write maintainable automation scripts for deployment validation environment checks housekeeping and operational tasks.

Ability to parse files process JSON/YAML consume REST APIs handle exit codes and implement robust error handling.

Strong troubleshooting mindset across CI/CD cloud infrastructure containers Kubernetes networking authentication and application deployment issues.

Experience with Azure Monitor Log Analytics Application Insights or equivalent monitoring and logging platforms.

Perform root-cause analysis and document corrective/preventive actions.

Understand deployment health checks operational metrics alerting incident response and service reliability.

Own DevOps deliverables independently from requirement gathering through implementation testing production rollout and support.

Make sound technical decisions around pipeline architecture security deployment strategy and automation.

Build reusable frameworks and templates instead of creating one-off pipelines.

Proactively identify risks and bottlenecks in the software delivery lifecycle.

Lead troubleshooting of complex CI/CD and production deployment incidents.

Review pipeline code and infrastructure changes and provide technical guidance to team members.

Mentor junior engineers and promote engineering standards and automation best practices.

Communicate clearly with technical and non-technical stakeholders especially during production releases and incidents.

Bachelors degree in Computer Science Information Technology Engineering or a related field.

47 years of professional experience in DevOps Cloud Engineering Platform Engineering or a related role.

Azure certifications such as AZ-400 AZ-104 or relevant Microsoft certifications are an advantage.

Experience working in Agile/Scrum environments.

Experience working with enterprise change-management and production release processes.