" GCP Cloud Engineer"

Job Description: DevOps Engineer – Terraform + GCP

Experience: 5+ Years

Locations: Bangalore / Hyderabad

Key Responsibilities:

• Set up, configure, and manage cloud infrastructure on Google Cloud Platform (GCP).
• Develop and maintain Infrastructure as Code (IaC) using Terraform.
• Handle infrastructure provisioning, deployment, and configuration management.
• Perform product installation, setup, configuration, and environment readiness.
• Manage GCP services, compute instances, networking, storage, and access permissions.
• Troubleshoot infrastructure, installation, and deployment-related issues.
• Automate infrastructure provisioning and repetitive operational tasks using scripts.
• Monitor infrastructure performance, availability, and reliability.
• Collaborate with development and operations teams to support deployments and production environments.

Mandatory Skills:

• Hands-on experience with Terraform.
• Strong experience with Google Cloud Platform (GCP).
• Infrastructure setup and provisioning.
• Product installation and configuration.
• Cloud infrastructure troubleshooting.

Preferred Skills:

• Linux administration and shell scripting.
• CI/CD tools and deployment automation.
• Cloud monitoring and logging.
• Infrastructure maintenance and operational support.

Required Experience: 5+ years in DevOps / Cloud Infrastructure.

Senior Cloud Site Reliability Engineer (CSRE) – Azure

About Searce:

Searce is an AI-native, engineering-led modern technology consultancy that empowers

clients to futurify their businesses by delivering real, intelligent business outcomes. As a

trusted partner for over 3,000 clients globally, Searce specializes in cloud modernization,

data engineering, applied AI, and robust cloud platform security. Driven by a "HAPPIER"

cultural mindset and our proprietary evlos problem-solving framework, we eliminate

bureaucratic fluff to build working prototypes fast and scale enterprise production

environments intelligently. We don't just fix systems; we leverage multi-cloud technologies

to transform client operations into distinct competitive advantages.

Position Overview:

We are looking for a high-caliber Senior or Lead Cloud Site Reliability Engineer (CSRE) to

architect, secure, and stabilize next-generation hybrid and multi-cloud environments.

Operating at the intersection of infrastructure design, security compliance, and production

operations, you will serve as the technical Subject Matter Expert (SME) across GCP, Azure,

and AWS.

Whether optimizing a microservice mesh on GKE, tuning autoscaling on AKS, or driving a

massive disaster recovery drill across AWS regions, your focus will be absolute reliability. For

the Lead path, you will couple this deep engineering toolkit with stakeholder management

and mentorship to drive an elite operational culture.

Experience & Level Expectation:

Years of Experience: 3 to 10 years of intensive, hands-on production operations

experience in a dedicated DevOps, Cloud Platform Engineering, or SRE role.

Associate level (3-5 Years): Expected to show flawless execution of IaC, advanced

triaging of infrastructure failures, and ownership of the CI/CD and deployment

lifecycles.

Intermediate level (5-10 Years): Expected to take architectural ownership, serve as

primary Incident Commander for complex outages, design cross-cloud governance

frameworks, and act as a reliable bridge between technical teams and client

leadership.

Key Responsibilities & Role Expectations:

Multi-Cloud Platforms & Orchestration: Design, configure, and maintain

production-grade Kubernetes clusters across major platforms (AKS).

Manage advanced network routing, service meshes (e.g., Istio), and multi-tenant

isolation.

Infrastructure as Code (IaC) & GitOps: Build declarative, enterprise-grade, reusable

infrastructure components using Terraform or Crossplane. Standardize automated

environment provisioning to eliminate configuration drift across multi-branch

environments.

Incident Management & Reliability (SRE): Own and optimize the production on-call

rotation. Lead rapid mitigation strategies for Sev-1/Sev-2 system outages, reducing

Mean Time to Recovery (MTTR) through centralized log and metric correlation.

Root Cause Analysis (RCA): Facilitate rigorous, blameless post-incident reviews to

identify core architectural vulnerabilities and establish long-term fixes preventing

recurrence.

Lifecycle, Patching & Upgrades: Plan and execute zero-downtime cluster upgrades,

operating system patching strategies (Linux/Windows), database lifecycle updates,

and multi-region Disaster Recovery (DR) failover drills.

Core Core Operations & Legacy Integration: Manage enterprise-level hybrid

networking architecture (VPCs, Firewalls, Load Balancers, DNS routing, and DHCP

configurations) while effectively connecting cloud native services to legacy

infrastructures like Active Directory.

Security & Governance: Embed Zero Trust policies, secure secrets management

(Secrets Manager/Key Vault), and continuous vulnerability patching into the

automated SDLC pipeline.

Required Technical Skills:

- Microsoft Azure: Azure Virtual Machines, Virtual Networks, Azure Active Directory, Azure Update Management.

- Containers & Orchestration

• Production-level management of GKE, AKS, and EKS.
• Advanced mastery of Docker, Helm, Kubernetes StatefulSets, Pod Disruption

We are seeking a highly skilled and experienced DevOps Engineer to join our development team.

Years of experience needed: 8+ Yrs

Required Skills

Strong experience with GitLab, TeamCity, Terraform, Kubernetes and Docker

Proficiency in various deployment strategies and CI/CD pipeline setups

Solid understanding of Linux administration and Windows IIS.

Advanced scripting skills in bash and PowerShell

Hands-on experience with Google Cloud Platform (GCP) services, particularly GKE, GCS, GCE, Cloud SQL, and load balancers

Familiarity with Autosys for job scheduling and automation

Excellent problem-solving and troubleshooting skills

Ability to work independently and collaboratively in a fast-paced environment

• • Strong communication and interpersonal skills.

Cloud Infrastructure Engineer – BANG | 10+ Years

Location: Bangalore

Experience: 10+ Years

Job Description:

• Design, implement, and manage cloud infrastructure across AWS/Azure/GCP environments.
• Strong experience in cloud architecture, compute, storage, networking, and security.
• Manage VMs, VPC/VNet, load balancers, DNS, DHCP, firewalls, and IAM.
• Hands-on experience with Windows/Linux servers, VMware, virtualization, and infrastructure operations.
• Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.
• Monitor infrastructure performance, availability, and capacity using tools such as Grafana, Prometheus, or CloudWatch/Azure Monitor.
• Handle incident management, troubleshooting, disaster recovery, backup, and high-availability requirements.
• Work with cross-functional teams to support cloud migration, infrastructure upgrades, and production environments.
• Ensure infrastructure follows security, compliance, and operational best practices.

Must-Have Skills:

Cloud Infrastructure | AWS/Azure/GCP | Networking | Linux/Windows | VMware | Terraform | Ansible | DNS/DHCP | IAM | Monitoring | Backup & DR

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).

3+ years of hands-on experience with Microsoft Azure, including IaaS, PaaS, networking, identity (Entra ID), and governance services.

2+ years of experience with DevOps tooling and practices, including CI/CD pipelines (Azure DevOps or GitHub Actions), Infrastructure as Code (Terraform, Bicep, or ARM), and version control (Git).

2+ years' experience in infrastructure design, platform engineering, or architecture.

Strong proficiency with automation and scripting — PowerShell, Azure CLI, Python, or Bash.

Solid understanding of containerisation (Docker) and familiarity with orchestration platforms (Azure Kubernetes Service).

Deep understanding of cloud architecture, deployment patterns, and management best practices, including the Azure Well-Architected Framework.

Experience defining standards, governance frameworks, and reference architectures for cloud platform consumption.

Strong knowledge of networking concepts, storage configurations, virtualisation technologies, and disaster recovery/backup design for hybrid environments.

Experience with Azure DevOps (Repos, Pipelines, Boards, Artifacts) or equivalent platforms.

Familiarity with identity and access management (IAM), including Entra ID, RBAC, PIM.

Strong understanding of security, compliance requirements, and IT governance frameworks (ITIL, COBIT, or similar).

Preferred

About Searce

Searce is a global, AI-native, engineering-led technology consultancy and a Premier Google

Cloud Partner — recognized as the Google Cloud Workplace AI Transformation Partner of the

Year, APAC (2026). With 20+ years of experience and 3,000+ clients across 10+ countries, we

help businesses stay ahead of the cloud curve.

The Role

We're looking for a Lead Cloud Security & Reliability Engineer with deep GCP expertise to own

end-to-end cloud reliability and security forAPAC enterprise clients. As Lead, you'll set the architectural direction, mentor your squad, and drive measurable client outcomes across multi-

cloud environments.

What You'll Do

Own Client Delivery — Lead 24x7 GCP cloud operations forAPAC clients. Define SLO frameworks and ensure adherence.

Architect Solutions — Design scalable, secure GCP-primary architectures with multi-cloud awareness.

Drive Reliability — Lead incident response, RCA, and long-term remediation across production systems.

Mentor & Elevate — Coach and grow a squad of Senior CSREs.

Drive FinOps — Own cloud cost governance and optimization with quantified impact.

Be the Expert — Represent Searce's technical depth in global client conversations.

What We're Looking For

Experience

7–12 years total with 5+ years on GCP cloud infrastructure

Strong background in Cloud Managed Services / MSP environments

Proven experience leading a team in client-facing delivery

Multi-cloud exposure (AWS/Azure secondary) preferred

Technical Skills (Must-Have)

• GCP: GKE, IAM, VPC, Cloud Monitoring, Stackdriver, KMS — demonstrated in work
• experience
• Kubernetes: GKE — production cluster management, Helm
• IaC: Terraform — module-level, reusable frameworks
• Observability: Prometheus, Grafana, Thanos or equivalent
• Security: IAM, Zero-trust, DevSecOps, CSPM tools
• Scripting: Python or Go
• FinOps: GCP cost governance demonstrated

Nice to Have

• GCP Professional Cloud Architect / Pro DevOps Engineer certification
• AWS / Azure secondary experience
• CKA (Certified Kubernetes Administrator)
• ITIL / change management awareness
• APAC client delivery experience

Why Searce?

🏆 Google Cloud Partner of the Year — APAC 2026

🌍 Work with APAC enterprise clients across multiple industries

🤖 AI-first, engineering-led culture

📈 Lead-level ownership with real career growth

🤝 HAPPIER values — Humble, Adaptable, Positive, Passionate, Innovative, Excellence,

Responsible

Job Description: Lead - Cloud Engineering (AWS / Azure)

Role Title: Lead - Cloud Engineering

Experience Level: 10+ Years

Domain Focus: Healthcare AI & Cloud Infrastructure

Location: Remote

Job Overview

We are seeking an experienced Lead - Cloud Engineering with over 10 years of IT experience to lead our cloud strategy, architecture, and infrastructure teams. In this role, you will oversee end-to-end cloud deployment, multi-cloud migration, and scalable architecture designed to support cutting-edge Generative AI applications in the healthcare technology domain.

The ideal candidate brings deep technical expertise in both AWS and Azure, strong hands-on capability in cloud infrastructure, and proven leadership experience driving security, compliance, and team growth.

Key Responsibilities

Cloud Architecture & Migration

• Lead the architecture, design, and execution of cloud migrations, deployments, and modernizations across AWS and Azure environments.
• Drive Infrastructure as Code (IaC) standards using Terraform, CloudFormation, or Bicep to ensure scalable, automated infrastructure provisioning.
• Build high-availability, low-latency architectures optimized for data-intensive Generative AI and Machine Learning workloads.

Security & Healthcare Compliance

• Enforce healthcare security standards including HIPAA, HITRUST, SOC 2, and data governance best practices across all cloud assets.
• Implement Zero-Trust security, Identity Access Management (IAM), data encryption key management, and continuous vulnerability monitoring.

Leadership & Team Management

• Manage, mentor, and scale a high-performing team of DevOps, Cloud, and SRE Engineers.
• Drive Agile workflows, sprint planning, incident response frameworks, and SLA compliance.
• Collaborate closely with Data Engineering, AI/ML, and Software Product teams to align infrastructure with business roadmaps.

Operations & FinOps

• Establish cloud cost optimization strategies (FinOps) to manage computing costs associated with AI models and large-scale data processing.
• Manage monitoring, alerting, and telemetry frameworks (e.g., Prometheus, Datadog, CloudWatch) to ensure 99.99% uptime.

Key Requirements

• Experience: 10+ years of overall IT experience with at least 5+ years in a cloud leadership or lead architect role.
• Cloud Platforms: Advanced hands-on expertise with both AWS (e.g., EC2, S3, EKS, Bedrock, SageMaker) and Azure (e.g., AKS, Azure OpenAI, Blob, Virtual Machines).
• DevOps & IaC: Strong background in Terraform, Docker, Kubernetes, CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).
• Domain Knowledge: Prior experience building or managing cloud environments within Healthcare, Life Sciences, or HealthTech is strongly preferred.
• AI/ML Familiarity: Experience supporting cloud infrastructure for machine learning pipelines, LLM deployments, or GPU compute management.
• Certifications (Preferred): AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, or Certified Kubernetes Administrator (CKA).

Build production-grade cloud infrastructure that powers enterprise applications with cutting-edge DevOps practices.

What you'll do:

• Design CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
• Containerize apps with Docker, deploy on Kubernetes clusters
• Manage infrastructure as code (Terraform, CloudFormation)
• Set up monitoring (Prometheus, Grafana, ELK Stack)
• Cloud migrations (AWS EC2, EKS, RDS → GCP equivalent)
• Optimize costs and performance for live production systems

What we need:

• Basic Python/Bash scripting
• Docker basics, Git workflows
• Cloud exposure (AWS/GCP/Azure free tier projects)
• Problem-solving mindset, eagerness to learn

Real impact:

• Deploy apps used by 1000+ daily users
• Work with senior DevOps engineers on client deliverables
• Build portfolio for FAANG-level interviews

Job Summary

We are looking for an experienced DevOps Engineer with strong hands-on expertise in GitHub Actions, Harness CI/CD, Google Cloud Platform (GCP), and Microsoft Azure. The candidate will be responsible for designing, implementing, and maintaining CI/CD pipelines, automating cloud infrastructure deployments, and improving application delivery through DevOps best practices.

Key Responsibilities

• Design, develop, and maintain CI/CD pipelines using GitHub Actions and Harness.
• Implement automated build, test, deployment, and release workflows.
• Manage and support cloud infrastructure across GCP and Microsoft Azure.
• Configure GitHub Actions workflows, reusable workflows, secrets, runners, and deployment environments.
• Develop and manage Harness pipelines for continuous integration, continuous delivery, and automated deployments.
• Automate infrastructure provisioning using Terraform and Infrastructure as Code (IaC) practices.
• Work with containerization technologies such as Docker and Kubernetes.
• Deploy and manage applications on GCP services such as GKE, Compute Engine, Cloud Storage, and Cloud Run.
• Work with Azure services such as Azure Kubernetes Service (AKS), Azure Virtual Machines, Azure Storage, and Azure networking.
• Implement secure credential management, access controls, and cloud security best practices.
• Integrate automated testing, code quality checks, vulnerability scanning, and security gates into CI/CD pipelines.
• Monitor deployments, troubleshoot pipeline failures, and resolve build and release issues.
• Collaborate with development, QA, security, and infrastructure teams to improve deployment efficiency.
• Implement logging, monitoring, rollback strategies, and deployment governance.
• Support production releases, incident troubleshooting, and continuous improvement of DevOps processes.

Mandatory Skills

• Strong hands-on experience with GitHub Actions.
• Practical experience with Harness CI/CD.
• Good experience with GCP and Microsoft Azure cloud platforms.
• Strong understanding of CI/CD concepts, build automation, and release management.
• Experience with Git, branching strategies, pull requests, and version control.
• Scripting knowledge in Python, Bash, or PowerShell.
• Experience with Terraform or other Infrastructure as Code tools.
• Understanding of Docker and Kubernetes.
• Knowledge of cloud IAM, secrets management, networking, and security best practices.

🚀 Hiring: Senior Azure Platform Engineer | Azure | Terraform | Kubernetes

📍 Location: India

💼 Employment: Full-Time | Long-Term

🎯 Experience: 10+ Years | 8+ Years Hands-on Azure

🔑 What We’re Looking For

▪️ Strong expertise in Azure Cloud Platform & Landing Zone Architecture

▪️ Advanced hands-on experience with Terraform & reusable IaC modules

▪️ Expertise in Kubernetes, Helm & container platforms

▪️ Strong understanding of Azure Networking, Entra ID, RBAC & Azure Policy

▪️ Experience with GitHub, GitHub Actions / Azure Pipelines & CI/CD

▪️ Hands-on GitOps & ArgoCD experience

▪️ Strong observability skills with Prometheus, Grafana & Azure Monitor

▪️ Experience designing and supporting microservices architectures

▪️ Knowledge of security, policy-as-code and IaC security scanning

▪️ Exposure to Azure Arc / Azure Local / Azure Stack HCI is a plus