Senior Associate - Development

SoftTech Engineers Limited; Pune District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

SoftTech Engineers Limited in Pune district, Maharashtra, seeks a seasoned DevOps/Cloud Automation Engineer to design and implement CI/CD pipelines, IaC, and secure release strategies. You will automate Azure/Azure DevOps, manage Terraform/Bicep, and enable AI-assisted tooling with governance and cost-awareness.

Responsibilities include building multi-stage YAML pipelines, configuring AKS, security gates, SBOM practices, monitoring, incident response, and improving delivery metrics like lead

Responsibilities

• Terraform and/or Bicep (IaC)
• DevSecOps: SAST/SCA, secret scanning, SBOM
• Release strategies: rolling, blue-green/canary, rollback
• AI-assisted DevOps / engineering tools
• Design, implement, maintain and troubleshoot Azure DevOps multi-stage YAML CI/CD pipelines
• Create reusable pipeline templates, variables, environments, approvals and deployment gates
• Implement automated build, unit-test, code-quality, security-scan, packaging and deployment workflows
• Support GitHub Actions where repositories or delivery workflows use GitHub
• Implement controlled releases using rolling, blue-green/canary strategies and automated rollback
• Provision and manage Azure resources using Terraform and/or Bicep; maintain version-controlled infrastructure
• Automate environment creation, configuration, scaling and configuration-drift detection
• Use Azure CLI, PowerShell, Bash and Python for operational automation and self-service tooling
• Apply Azure governance, tagging, policy, cost-awareness and least-privilege practices
• Build, scan, tag and manage Docker images and registries using Azure Container Registry
• Deploy and operate workloads on AKS using Kubernetes manifests and Helm
• Understand ingress, services, config/secrets, autoscaling, health probes, namespaces and resource limits
• Apply container security and runtime protection using Defender for Containers/ Defender for Cloud
• Integrate SAST, software composition analysis, secret scanning, IaC checks and dependency scanning into pipelines
• Generate and manage SBOMs and support artifact integrity/signing practices
• Use Azure Key Vault, managed identities, RBAC and workload identity/OIDC
• Implement security/compliance gates across source, pipeline, infrastructure and runtime
• Implement Azure Monitor, Application Insights, Log Analytics and OpenTelemetry observability
• Create dashboards, alerts, health checks and deployment-quality gates
• Participate in incident response, root-cause analysis and post-incident actions
• Track reliability indicators and improve availability, performance and recovery
• Automate SQL/database deployment and migration workflows
• Support .NET/C# and React application builds and deployments
• Manage artifacts via Azure Artifacts, GitHub Packages or equivalent
• Promote reusable DevOps standards, templates and self-service practices
• Evaluate AI-assisted engineering tools for pipeline authoring and automation
• Identify bottlenecks to improve deployment frequency and lead time
• Mentor developers on Git workflows, CI/CD and secure delivery

Job description

Key Responsibilities

• Terraform and/or Bicep (IaC)
• DevSecOps: SAST/SCA, secret scanning, SBOM
• Release strategies: rolling, blue-green/canary,rollback
• AI-assisted DevOps / engineering tools

1. CI/CD & ReleaseEngineering

• Design, implement, maintain andtroubleshoot Azure DevOps multi-stage YAML CI/CD pipelines.
• Create reusable pipelinetemplates, variables, environments, approvals and deployment gates.
• Implement automated build,unit-test, code-quality, security-scan, packaging and deployment workflows.
• Support GitHub Actions whererepositories or delivery workflows use GitHub.
• Implement controlled releasesusing rolling, blue-green/canary strategies and automated rollback.

2. Infrastructure as Code& Cloud Automation

• Provision and manage Azureresources using Terraform and/or Bicep; maintain version-controlledinfrastructure.
• Automate environment creation,configuration, scaling and configuration-drift detection.
• Use Azure CLI, PowerShell, Bashand Python for operational automation and self-service tooling.
• Apply Azure governance, tagging,policy, cost-awareness and least-privilege practices.
• Build, scan, tag and manageDocker images and registries using Azure Container Registry.
• Deploy and operate workloads onAzure Kubernetes Service (AKS) using Kubernetes manifests and Helm.
• Understand ingress, services,config/secrets, autoscaling, health probes, namespaces and resource limits.
• Apply container security andruntime protection using Microsoft Defender for Containers / Defender for Cloudwhere applicable.

4. DevSecOps &Supply-Chain Security

• Integrate SAST, software compositionanalysis, secret scanning, IaC security checks and dependency scanning intopipelines.
• Generate and manage Software Billof Materials (SBOM) and support artifact integrity/signing practices.
• Use Azure Key Vault, managedidentities, RBAC and workload identity/OIDC instead of hard-coded or long-livedcredentials.
• Implement security/compliancegates and remediate findings across source, pipeline, infrastructure andruntime.

5. Observability, Reliability& Operations

• Implement Azure Monitor, ApplicationInsights, Log Analytics and OpenTelemetry-based observability whereappropriate.
• Create actionable dashboards,alerts, health checks and deployment-quality gates.
• Participate in incident response,root-cause analysis, problem management and post-incident corrective actions.
• Track reliability indicators andcontinuously improve availability, performance, deployment recovery andoperational resilience.

6. Database & ApplicationDelivery

• Automate SQL/database deploymentand migration workflows using SQL projects/DACPAC, Liquibase, Flyway orequivalent tools.
• Support .NET/C# and Reactapplication build, packaging, configuration and environment promotion.
• Manage artifacts and versioningthrough Azure Artifacts, GitHub Packages or equivalent repository solutions.
• Promote reusable DevOpsstandards, templates, documentation and developer self-service practices.
• Evaluate and responsibly useAI-assisted engineering/DevOps tools for pipeline authoring, troubleshooting,documentation and automation, with human review.
• Identify bottlenecks in softwaredelivery and improve deployment frequency, lead time, change-failure rate andrecovery time.
• Mentor developers and teammembers on Git workflows, CI/CD, cloud automation, secure delivery andoperational practices.