Staff DevOps Engineer

Thomson Reuters

. Design, build, and run secure, scalable, highly available cloud-native platforms on Microsoft Azure and AWS .

Posted 10/7/2026full-timeHyderabad • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and managing cloud-native platforms on Microsoft Azure and AWS, with a strong focus on Kubernetes, Infrastructure as Code, and CI/CD practices. Proven ability to lead migration efforts, optimize cloud costs, and mentor engineering teams while ensuring security and compliance.

Highest-signal resume keywords

Microsoft AzureAWSKubernetesTerraformCI/CD

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud-Native ArchitectureInfrastructure as CodeHelmShell ScriptingPythonGitHub WorkflowsGitHub ActionsArgo CDAI/ML PlatformsDatabase Management

Soft Skills

Problem-SolvingCollaborationCommunicationMentoring

Tools & Technologies

DatadogAzure Application InsightsAzure AI FoundryKubernetesAKS

Certifications & Qualifications

Azure CertificationAWS CertificationKubernetes CertificationTerraform Certification

Industry Keywords

Cloud GovernanceDevOpsPlatform EngineeringEnterprise-Scale SolutionsRegulated Software Environment

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDNSKubernetesLinuxNoSQLPythonShell ScriptingTerraform.NET

About the role

Key responsibilities & impact

Design, build, and run secure, scalable, highly available cloud-native platforms on Microsoft Azure and AWS
Lead migration of legacy and .NET applications to cloud-native, containerized architectures
Own Kubernetes and AKS architecture, deployment, security, scalability, resiliency, and day-to-day operations, including GPU-based AI and machine learning workloads
Use Helm to standardize application packaging and deployment
Create reusable platform patterns across applications, teams, and environments
Build and maintain Infrastructure as Code with Terraform and Bicep
Create reusable, secure, compliant, version-controlled infrastructure modules and deployment patterns
Expand automation and self-service for faster, more consistent delivery
Design, build, and improve CI/CD pipelines with GitHub Workflows, GitHub Actions, and Argo CD
Advance GitOps practices and automated deployment strategies across environments
Design and troubleshoot cloud networking, including VNets, subnets, NICs, private endpoints, DNS, load balancing, and network security
Set up monitoring and observability with Datadog, Azure Application Insights, and related tools
Define alerts, health indicators, and incident response practices
Lead root cause analysis and preventive improvements
Lead Azure and AWS cloud cost optimization initiatives and governance
Act as a trusted cloud, DevOps, and platform engineering advisor and subject matter expert
Mentor engineers and raise standards for architecture, automation, quality, and delivery
Create reference architectures, technical standards, and best practices
Shape platform strategy and communicate decisions, risks, and trade-offs to technical and non-technical stakeholders

Requirements

What you’ll need

Strong hands-on experience with Microsoft Azure and AWS
Deep experience with cloud-native architecture, distributed systems, serverless services, storage, virtual machines, managed application platforms, messaging, APIs, and relational and NoSQL databases
Strong hands-on experience with Kubernetes and AKS, including application modernization and GPU workload deployment
Hands-on experience with Helm for Kubernetes package management
Infrastructure as Code skills with Terraform and Bicep
Strong CI/CD experience with GitHub Workflows, GitHub Actions, and Argo CD
Experience deploying and supporting .NET applications
Good working knowledge of Linux
Shell scripting and Python skills
Experience with Datadog, Azure Application Insights, or similar monitoring and observability tools
Track record of finding and delivering cloud cost savings
Working knowledge of Azure AI Foundry
Strong problem-solving, collaboration, communication, and mentoring skills
Experience building shared platform engineering capabilities used by multiple product teams
Experience implementing enterprise-scale GitOps and cloud governance practices
Experience supporting AI/ML platforms, generative AI solutions, or GPU-enabled infrastructure
Relevant Azure, AWS, Kubernetes, or Terraform certifications
Experience working in a complex enterprise or regulated software environment

Benefits

Comp & perks

Flexible hybrid working environment with 2–3 days a week in the office depending on the role
Work from anywhere for up to 8 weeks per year
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Two paid volunteer days off annually
Opportunities to get involved with pro-bono consulting projects and ESG initiatives
Career development, continuous learning, skills development, and Grow My Way programming