AWS FinOps Specialist/Engineer

Senior CloudOps Engineer – Microsoft Azure

Technology: Microsoft Azure | Cloud Operations | Governance | FinOps

Experience: 6+ Years

Location: Remote – Trivandrum

Employment Type: Contract-to-Hire (C2H)

Work Mode: Remote

Job Description

We are looking for a Senior CloudOps Engineer with strong hands-on Microsoft Azure experience to manage cloud operations, platform reliability, security governance, and cost optimization. The role focuses on production operations, governance enforcement, security, and ensuring reliable and cost-efficient cloud infrastructure.

Key Responsibilities

• Own Azure platform reliability, availability, and operational readiness.
• Lead incident management, root cause analysis, and remediation activities.
• Implement Azure governance using Azure Policy, RBAC, PIM, naming conventions, and tagging standards.
• Drive FinOps initiatives, including resource rightsizing, reservations, savings plans, and cost optimization.
• Manage Azure Kubernetes Service (AKS), focusing on scaling, resource utilization, and operational boundaries.
• Maintain operational runbooks, SOPs, and change management processes.
• Manage Azure subscriptions, management groups, networking, identity, and access controls.
• Identify and remediate governance gaps, excessive permissions, and configuration drift.

Must-Have Skills

• 6+ years of hands-on Microsoft Azure experience with production operations ownership.
• Strong expertise in Azure infrastructure, networking, subscriptions, and management groups.
• Experience with Azure governance, Azure Policy, RBAC, and identity/access management.
• Working knowledge of Infrastructure as Code (Terraform, ARM templates, or Bicep).
• Experience in incident management, root cause analysis, and operational remediation.
• Understanding of Azure cost optimization and FinOps practices.
• Ability to enforce security, governance, and operational standards.

Good-to-Have Skills

• Hands-on experience with Azure Kubernetes Service (AKS).
• Experience establishing CloudOps processes and governance frameworks.
• Exposure to Azure Cost Management, reservations, and savings plans.
• Experience with ITIL-based IT service management.

Mandatory Certifications

Candidates must have at least 2–3 relevant certifications from the following list:

• Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
• Microsoft Certified: Azure Administrator Associate (AZ-104)
• Microsoft Certified: Windows Server Hybrid Administrator Associate (AZ-140)
• Microsoft Certified: Azure Fundamentals (AZ-900)
• Preferred: ITIL 4 Foundation

Important Note

This is a Cloud Operations-focused role, not a DevOps enablement or application development position. Candidates must demonstrate strong operational ownership, governance enforcement, security awareness, and cost accountability.

.

• 3 years of relevant experience in DevOps, Site Reliability Engineering (SRE), cloud operations, or application production support.
• Strong practical understanding of AWS cloud services, including compute, storage, IAM, networking, security, and monitoring.
• Good Linux administration skills, including system troubleshooting, performance analysis, log investigation, and service management.
• Hands-on experience with GitLab CI/CD, including pipeline configuration, execution, troubleshooting, YAML files, variables, artifacts, and GitLab Runners.
• Mandatory hands-on experience with Infrastructure as Code (IaC), preferably Terraform, including infrastructure provisioning, configuration management, reusable modules, state management, and troubleshooting deployment issues.
• Working knowledge of Git, branching strategies, merge requests, and version control workflows.
• Good understanding of networking fundamentals, including DNS, TCP/IP, ports, routing, load balancers, and AWS security groups.
• Ability to systematically investigate and resolve infrastructure, application, and deployment issues using logs, metrics, monitoring tools, and dependency analysis.
• Working knowledge of Python or Shell scripting for operational automation and troubleshooting.
• Strong problem-solving skills, communication, collaboration, willingness to learn, and ownership of incidents through resolution.

Preferred Skills and Experience

• Basic SQL knowledge for application and database-related operational investigations.
• Experience with AWS monitoring and logging services, particularly Amazon CloudWatch.
• Familiarity with incident, problem, and change management processes in production environments.
• Exposure to operational automation, proactive monitoring, alert optimization, and root cause analysis (RCA).
• Understanding of cloud infrastructure best practices, including security, reliability, availability, and cost optimization.
• Experience supporting containerized applications using Docker, Kubernetes, or Amazon EKS would be an advantage.

We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.

Key Responsibilities

• Review, validate, and optimize existing Terraform code and AWS infrastructure.
• Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
• Design, build, and support secure, scalable, and highly available AWS environments.
• Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
• Lead infrastructure testing, performance tuning, and production readiness activities.
• Drive deployment and operationalization of the platform in the Production environment.
• Implement cloud governance, security, monitoring, and FinOps best practices.
• Troubleshoot and resolve complex cloud infrastructure issues.

Required Skills & Experience

• 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
• Proven experience designing, deploying, and managing AWS production environments.
• Strong hands-on experience with Terraform and Infrastructure-as-Code.
• Experience with CI/CD pipeline automation and DevOps practices.
• Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
• Experience in performance optimization, reliability, and cloud cost management (FinOps).
• Strong scripting and automation skills.
• Experience integrating enterprise applications through APIs and secure connectivity patterns.

Preferred Skills

• Experience supporting AI/GenAI, chatbot, or multi-agent platforms.
• AWS Certifications (Associate/Professional).
• Banking or Financial Services domain experience.

We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.

Key Responsibilities

• Review, validate, and optimize existing Terraform code and AWS infrastructure.
• Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
• Design, build, and support secure, scalable, and highly available AWS environments.
• Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
• Lead infrastructure testing, performance tuning, and production readiness activities.
• Drive deployment and operationalization of the platform in the Production environment.
• Implement cloud governance, security, monitoring, and FinOps best practices.
• Troubleshoot and resolve complex cloud infrastructure issues.

Required Skills & Experience

• 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
• Proven experience designing, deploying, and managing AWS production environments.
• Strong hands-on experience with Terraform and Infrastructure-as-Code.
• Experience with CI/CD pipeline automation and DevOps practices.
• Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
• Experience in performance optimization, reliability, and cloud cost management (FinOps).
• Strong scripting and automation skills.
• Experience integrating enterprise applications through APIs and secure connectivity patterns.

About the Role

As the Product Manager at CloudKeeper, you will lead the strategy, roadmap, and execution of our real-time Cloud usage optimization and recommendation platforms. 

As we expand our portfolio and deepen capabilities across cost optimization, observability, automation, and cloud management, we are seeking a Product Manager who can drive the vision, roadmap, and execution for one or more products within the CloudKeeper Platform Suite such as Lens, Tuner, Commit, Gen AI and Check

You will work cross-functionally across engineering, data science, FinOps SME, go-to-market and customer success to drive product growth, adoption, and customer value.

Key Responsibilities

• Define the vision and product strategy for CloudKeeper Platform Suite, aligned with overall cloud cost & usage optimization goals and the broader CloudKeeper solutions.
• Own the product roadmap: prioritize features, enhancements, integrations, and user experience improvements
• Own end-to-end product lifecycle: concept → PRDs → UX/design → development → launch → iteration
• Work with UX/design to craft intuitive workflows for engineering/DevOps users, ensuring that insights embed into their flow of work 
• Engage with customers (particularly engineering and FinOps teams) to gather feedback, identify pain points, and validate product direction.
• Drive annual planning, release cycles, and sprint delivery (Agile methodology) while ensuring high quality and timely launch of features.
• Ensure appropriate documentation, training materials, and enablement for internal teams and external customers.

Desired Qualifications 

• Bachelor’s degree in Computer Science, Engineering, Business or related field (Master’s preferred).
• 5+ years of product management experience in SaaS, preferably in cloud infrastructure, FinOps, cloud cost optimisation, or dev tools.
• Experience in B2B / Enterprise SaaS product development is a must (B2C product experience will not be considered)
• Strong understanding of AWS or other public-cloud: you should know at least the major compute / storage / services / networking footprint and usage patterns. 
• Proven ability to translate customer needs into product features, write product requirements (PRDs), and work with engineering teams on execution.
• Proficiency with product management, collaboration, and analytics tools (e.g., Jira, Confluence, Figma, Productboard, BI dashboards, PostHog)

Preferred 

• Prior experience in cloud cost optimization, cost-management tools, or FinOps practices is a strong plus
• Exposure to FinOps platforms or cloud cost optimization tools (e.g., AWS Cost Explorer/CUR, CloudHealth or equivalents)

What You’ll Work On

• Lead development and launch of next-gen recommendation engine enhancements (e.g., smarter detection of idle/over-provisioned resources).
• Evolve CloudKeeper’s industry-leading Guaranteed Savings model and its underlying pricing, automation, and governance engines
• Design conversational, AI-powered experiences that guide engineers through optimization opportunities, troubleshooting, and architectural decisions
• Define and refine metrics around savings impact, recommendation adoption, user engagement, churn, and product-market fit.
• Explore spaces like multi-cloud optimization, FinOps governance frameworks, cloud budgeting & forecasting, or cloud-native developer tools.
• Identify gaps in the cloud management ecosystem and work with leadership to incubate entirely new product lines, from concept to MVP to full-scale launch

What We Offer

• The opportunity to own a high-impact product in the rapidly growing FinOps/cloud cost optimisation space.
• A collaborative, innovative environment with talented teams in engineering, data science, UX, and product.
• The chance to make a measurable difference: help customers reduce cloud cost while maintaining performance and accelerate their cloud usage optimisation journey.

Role Overview

We are looking for a DevOps / Platform Engineer with 3–4 years of experience to help manage AWS cloud infrastructure, automation, and AI-ready platform operations. You will work closely with engineering and AI teams to ensure scalable, secure, and reliable deployments.

Key Responsibilities

1. AWS & Infrastructure: Manage core AWS services (EC2, EKS, Lambda, RDS, S3, VPC) using Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
2. AI/ML Workflows: Support infra for AI applications, model serving, vector databases, and GPU-based workloads.
3. CI/CD & Automation: Build and maintain deployment pipelines using GitHub Actions, GitLab CI, or Jenkins.
4. Containers & Kubernetes: Deploy and maintain containerized applications using Docker and Kubernetes (EKS) or ECS.
5. Observability & Incident Support: Maintain dashboards and alerts with CloudWatch, Prometheus, or Grafana, and participate in on-call response.
6. Security & FinOps: Apply AWS security best practices (IAM, encryption, secrets) and assist with cloud cost optimization.

Must-Have Skills & Qualifications

1. 3–4 years of experience in DevOps, SRE, or Cloud Infrastructure Engineering.
2. AWS & Containers: Good working knowledge of core AWS services, Docker, and Kubernetes (EKS).
3. Infrastructure-as-Code: Practical experience with Terraform, CloudFormation, or AWS CDK.
4. Linux & Networking: Solid fundamentals in Linux systems, DNS, routing, and load balancing.
5. Scripting: Hands-on scripting proficiency in Python, Bash, or Go.
6. CI/CD & Observability: Experience building CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins) and using monitoring tools (CloudWatch, Prometheus, Grafana, or Datadog).

Nice-to-Have Skills

1. Basic exposure to AI/ML infrastructure, model serving, or GPU-based compute.
2. Experience with event-driven messaging systems (Kafka, Redis, or SQS).
3. Familiarity with GitOps tools and Helm (ArgoCD, Flux, or OpenTelemetry).
4. AWS Certifications (Solutions Architect Associate, SysOps Administrator, or DevOps Engineer).

 The Role 

As a **DevOps Engineer** you'll own the infrastructure and delivery backbone that 

keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and 

observability that let a small, fast-moving team ship confidently — and you'll keep our AI and 

data workloads reliable and affordable at scale. 

This is a hands-on role with real ownership: you won't be maintaining someone else's setup, 

you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make 

deployment boring, incidents rare, and scaling a non-event. --- 

What You'll Own 

**CI/CD & developer experience** 

- Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with 

confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible 

automated testing, rollbacks, and release controls. 

**Cloud infrastructure & IaC** - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or 

similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow. 

**Containers & orchestration** - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and 

resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch 

processing for the speech pipeline. 

**Reliability & observability (SRE)** - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, 

on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients. 

**Data & pipeline infrastructure** - Support the infrastructure behind large-scale, edge-to-cloud data movement and 

processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware. 

**Security & compliance** - Bake security into the platform: secrets management, IAM/least-privilege, encryption in 

transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security 

requirements) for a product that handles sensitive customer conversations. 

**Cost & scale** - Own cloud cost visibility and optimization; make scaling decisions that balance reliability 

and spend. --- 

What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production 

systems at meaningful scale. - Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and 

Infrastructure-as-Code (**Terraform** or equivalent). - Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, 

Jenkins, Argo, or similar). 

- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong 

automation-first mindset. - Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, 

OpenTelemetry, or similar) and running incident response / on-call. - A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team. 

Bonus Points - Experience running **ML/AI or GPU workloads** in production (inference serving, batch 

pipelines, model deployment). - Experience with data-intensive infrastructure — streaming/queues (Kafka, SQS), data 

pipelines, or large object/audio storage. - Exposure to **edge devices / IoT fleets**, OTA updates, or high-volume device-to-cloud 

ingestion. - Experience with compliance/security frameworks (SOC 2, ISO 27001, DPDP). - FinOps / cloud cost-optimization experience. - Early-stage startup experience. --- 

Why Join - Own infrastructure that's already live with leading retail brands and growing fast — real 

scale, real impact. - Work across genuinely interesting workloads: speech AI, GPU inference, large-scale data, 

and edge-to-cloud ingestion. - Small team, high ownership, direct line to engineering leadership — your decisions ship. - Build the platform foundation of a category-defining product from an

Job Title : Senior AWS DevSecOps & AI Platform Engineer

Experience Required : 5+ Years in AWS / Cloud Engineering

Terraform Experience : 4+ Years

Location : Gurugram

Work Mode : Onsite

Employment Type : Full-time

About the Role :

We are looking for an experienced Senior AWS DevSecOps & AI Platform Engineer with strong expertise in AWS cloud infrastructure, Kubernetes, Infrastructure as Code (IaC), CI/CD automation, cloud security, and database administration.

The ideal candidate will be responsible for designing and maintaining secure, scalable, reliable, and cost-efficient cloud environments while supporting microservices-based applications and implementing DevSecOps best practices. The role also involves building and deploying AI agents using Amazon Bedrock and Bedrock AgentCore, along with managing enterprise development and collaboration tools.

Mandatory Skills :

AWS (EC2, EKS, ECS, Lambda, S3, CloudWatch), Kubernetes, Terraform, Jenkins, Bitbucket Pipelines, CI/CD, DevSecOps, AWS Security Services (IAM, WAF, GuardDuty, Security Hub, KMS, Secrets Manager), Microservices, Helm, PostgreSQL, Oracle SQL, RDS, Jira, Confluence, Amazon Bedrock, Bedrock AgentCore, AWS Networking, and Cloud Cost Optimization.

Key Responsibilities :

• AWS Cloud Infrastructure : Design, implement, and maintain AWS infrastructure with a focus on scalability, availability, security, reliability, and cost optimization.
• Microservices & Containerization : Manage and support distributed microservices architectures, including deployment, monitoring, troubleshooting, performance optimization, service meshes, and API gateways.
• Kubernetes Administration : Administer and optimize Kubernetes clusters, including Amazon EKS and self-managed environments, covering upgrades, networking, workload management, scaling, and resource optimization.
• Cloud Security & Compliance : Implement and manage AWS security services, including IAM, GuardDuty, Security Hub, WAF, KMS, Secrets Manager, AWS Config, and CloudTrail.
• DevSecOps Implementation : Integrate security testing, vulnerability scanning, container security, and compliance-as-code tools into CI/CD pipelines.
• CI/CD & Source Control : Manage Bitbucket repositories, branching strategies, permissions, and Bitbucket Pipelines. Build and optimize Jenkins pipelines using declarative and scripted approaches.
• Infrastructure as Code : Develop and maintain Terraform modules, manage remote state and workspaces, detect infrastructure drift, and implement reusable infrastructure provisioning practices.
• Database Administration : Provision, manage, secure, and optimize AWS RDS databases, particularly PostgreSQL and Oracle, including backups, replication, patching, performance tuning, and migrations.
• Jira & Confluence Administration : Manage projects, workflows, automation rules, permissions, user access, spaces, schemes, and plugins.
• Monitoring & Reliability : Define and monitor SLIs, SLOs, and SLAs; implement observability best practices; and participate in incident management, root cause analysis, and post-incident reviews.
• AI Agent Development : Design, build, and deploy AI agents using Amazon Bedrock and Bedrock AgentCore, including agent runtime, memory, tools, gateway integration, identity and access management, guardrails, and lifecycle management across environments.
• Cloud Connectivity : Support hybrid cloud connectivity using AWS Direct Connect, VPN, and Transit Gateway.
• Cost Optimization : Apply FinOps practices to monitor cloud expenditure, optimize resource utilization, and improve infrastructure efficiency.
• API Integrations : Integrate third-party APIs while implementing authentication, rate limiting, error handling, and webhook management.

Required Skills & Qualifications :

• 5+ years of hands-on experience with AWS cloud services, including EC2, ECS, EKS, Lambda, ALB, CDN, S3, CloudWatch, Amazon Bedrock, and Bedrock AgentCore.
• Strong understanding of AWS networking, multi-account strategies, landing zone architecture, and hybrid connectivity.
• 4+ years of practical experience with Terraform, including module development, remote state management, workspaces, drift detection, and state operations.
• Extensive experience administering Kubernetes, preferably Amazon EKS, including Helm, Kustomize, operators, RBAC, network policies, autoscaling, and multi-tenancy.
• Proven experience managing distributed microservices, service meshes, API gateways, and inter-service communication.
• Strong knowledge of AWS security services, including IAM, Service Control Policies (SCPs), WAF, KMS, Secrets Manager, AWS Config, and CloudTrail.
• Experience implementing least-privilege access, zero-trust principles, and cloud security compliance controls.
• Hands-on experience integrating DevSecOps tools such as Snyk, Trivy, Checkov, and SonarQube into CI/CD pipelines.
• Understanding of OWASP security principles, CIS benchmarks, vulnerability management, and container security.
• Proficiency in Bitbucket repository administration, branch permissions, and YAML-based Bitbucket Pipelines.
• Strong experience developing and maintaining Jenkins CI/CD pipelines, shared libraries, plugins, and build agents.
• Experience administering AWS RDS databases, particularly PostgreSQL and Oracle SQL, including backup, replication, performance tuning, and migration activities.
• Experience administering Jira and Confluence, including workflows, permissions, automation, and plugin management.
• Working knowledge of Azure services, particularly Web Apps and Logic Apps/Workflows.
• Practical experience with Amazon Bedrock, including model invocation, guardrails, and AI agent development and deployment using Bedrock AgentCore.
• Understanding of third-party API integration, authentication mechanisms, rate limiting, error handling, and webhook management.
• Familiarity with FinOps practices and cloud cost optimization.

Good-to-Have Skills :

• Additional Azure experience, including networking, Azure SQL Managed Instance, and Azure Kubernetes Service (AKS).
• Hands-on experience with AI-driven Development Lifecycle (AI-DLC) methodologies and tools such as Kiro.

Relevant certifications, such as :

• AWS Certified Solutions Architect
• AWS Certified DevOps Engineer – Professional
• AWS Machine Learning or Generative AI certifications
• Certified Kubernetes Administrator (CKA)
• HashiCorp Terraform certifications

Ideal Candidate Profile :

The ideal candidate is a hands-on cloud and DevSecOps professional who can manage enterprise-scale AWS infrastructure, automate deployments, strengthen security controls, troubleshoot complex distributed systems, and support AI agent development. Strong problem-solving skills, an automation-first mindset, and the ability to collaborate across development, security, and infrastructure teams are essential.

We are looking for a Lead DevOps Engineer with strong hands-on experience in AWS, GCP, CI/CD, Kubernetes, Docker, Terraform, Pulumi and DevSecOps. The candidate will lead DevOps teams, drive technical delivery with client stakeholders, design scalable and secure cloud infrastructure, and establish best practices for automation, deployment, reliability, and cost optimization across cloud environments.

### Key Responsibilities

* Lead and mentor DevOps engineers, drive technical execution, and ensure timely delivery of client requirements.

* Engage with client teams and architects to understand requirements, provide technical guidance, and drive solution design and implementation.

* Design, implement, and optimize CI/CD pipelines, GitOps workflows, and automated release processes.

* Architect and manage cloud infrastructure across AWS and GCP (Azure optional) using Infrastructure as Code.

* Lead containerization and orchestration initiatives using Docker, Kubernetes, and Helm.

* Drive DevSecOps, observability, SRE practices, disaster recovery, and cloud cost optimization.

* Troubleshoot complex production issues, drive root cause analysis, and ensure system reliability, security, and performance.

* Collaborate with Development, QA, Security, Architecture, and client teams to drive engineering standards and continuous improvement.

### Mandatory Skills

* 7-9 years of experience in DevOps, Cloud Engineering, or Platform Engineering, including team leadership and client-facing responsibilities.

* Strong hands-on experience with AWS and GCP, including cloud infrastructure, networking, security, and managed services.

* Expertise in CI/CD tools such as Jenkins, Azure DevOps, GitLab CI/CD, GitHub Actions, or equivalent platforms.

* Strong experience with Docker, Kubernetes, Helm, and managed Kubernetes services such as AKS, EKS, or GKE.

* Hands-on expertise in Terraform and Ansible, with experience in Infrastructure as Code and configuration management.

* Experience with GitOps practices and tools such as Argo CD or Flux.

* Strong understanding of Git, branching strategies, release management, and deployment automation.

* Experience implementing DevSecOps practices, including security scanning, secrets management, and vulnerability management.

* Experience with monitoring, logging, alerting, production troubleshooting, and root cause analysis.

* Proficiency in Linux administration, networking fundamentals, and Bash/Python/PowerShell scripting.

* Proven ability to lead teams, manage priorities, communicate with clients, and drive technical decisions independently.

independently.

### Preferred Skills

* Knowledge of SAST/DAST, SBOM, software supply chain security, and security policy enforcement.

* Experience with observability tools such as Prometheus, Grafana, ELK Stack, Datadog, or Splunk.

* Experience with cloud migrations, hybrid environments, disaster recovery, high availability, and cost optimisation.

* Knowledge of service mesh technologies such as Istio or Consul, and API gateways or application gateways.

* Experience with enterprise cloud security, IAM, network security, and infrastructure

Senior CloudOps Engineer

Technology: Microsoft Azure | Cloud Operations | Governance | FinOps

Experience: 6+ Years

Location: Remote-Trivandrum

Contract-to-Hire (C2H)

Role Overview

We are looking for a Senior CloudOps Engineer with strong hands-on Azure experience to

drive cloud operations, platform reliability, security governance, and cost optimization. The

role focuses on operational ownership, enforcing governance standards, managing

production environments, and ensuring secure, reliable, and cost-efficient cloud operations.

Key Responsibilities

• Own Azure platform reliability, availability, and operational readiness.

• Lead incident management, root cause analysis, and remediation.

• Implement Azure governance using Azure Policy, RBAC, PIM, naming conventions, and

tagging standards.

• Drive FinOps initiatives, including resource rightsizing, reservations, savings plans, and cost

optimization.

• Manage Azure Kubernetes Service (AKS), focusing on scaling, resource utilization, and

operational boundaries.

• Maintain operational runbooks, SOPs, and change management processes.

• Manage Azure subscriptions, management groups, networking, identity, and access controls.

• Identify and remediate governance gaps, excessive permissions, and configuration drift.

Must-Have Skills

• 6+ years of hands-on Microsoft Azure experience with production operations ownership.

• Strong expertise in Azure infrastructure, networking, subscriptions, and management groups.

• Experience with Azure governance, Azure Policy, RBAC, and identity/access management.

• Working knowledge of Infrastructure as Code (Terraform, ARM, or Bicep).

• Experience in incident management, root cause analysis, and operational remediation.

• Understanding of Azure cost optimization and FinOps practices.

• Ability to enforce security, governance, and operational standards.

Good-to-Have Skills

• Hands-on experience with Azure Kubernetes Service (AKS).

• Experience establishing CloudOps processes and governance frameworks.

• Exposure to Azure cost management, reservations, and savings plans.

• Experience with ITIL-based IT service management.

Mandatory Certifications (At least 2–3 certifications required):

o Microsoft Certified: Azure Solutions Architect Expert (AZ-305).

o Microsoft Certified: Azure Administrator Associate (AZ-104).

o Microsoft Certified: Windows Server Hybrid Administrator Associate (AZ-140).

o Microsoft Certified: Azure Fundamentals (AZ-900).

o Preferred: ITIL 4 Foundation certification.

Note: This is a Cloud Operations-focused role, not a DevOps enablement or application

development position. Candidates must demonstrate strong operational ownership,

governance enforcement, security awareness, and cost accountability.