Remote Iam Jobs – 111 Open Jobs Today

Strategic Cloud Engineer – GCP Platform & FinOps
Ontrac Solutions —Remote
- Rotational shift
- Remote
- Azure
- AWS
- Computer networking
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Senior Integration Developer/ Python Developer
KeyData Cyber —Remote
- Full-time
- Remote
- Azure
- Java
- Master's degree
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11d
SailPoint ISC Solution Architect
KeyData Cyber —Remote
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
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AI Architect / Sr. AI Engineer
IDMWORKS —Remote
- Full-time
- Remote
- DevOps
- Databases
- JavaScript
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9d
Senior Python Developer (AWS + Terraform) | 8+ Years | Remote | Full-Time
Venpa Global Technologies —Remote
- Full-time
- Remote
- AWS
- APIs
- Agile
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Lead Security Engineer (Cloud Security & Architecture)
HighLevel —Remote
- Full-time
- Remote
- Azure
- AWS
- JavaScript
Fullstack Data Engineer (India)
Codvo.ai —Remote
- Remote
- AWS
- Machine learning
- Product management
Senior IT Cloud Security Engineer
Paramount Assure —Remote
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Senior Security Architect & Engineer
7N —Remote
- Remote
- Azure
- Computer Science
- AWS
Technical Lead / Engineering Manager, Full Stack - Gen AI (India)
Codvo.ai —Remote
- Remote
- Computer Science
- Salesforce
- Data analysis skills
Senior Cloud Architect (Azure)
Hottinger, Bruel & Kjaer —Remote
- Full-time
- Remote
- Azure
- English
- AWS
Senior Full Stack Engineer (Enterprise AI Project) (India)
Codvo.ai —Remote
- Remote
- Computer Science
- Salesforce
- Databases

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AI Architect / Sr. AI Engineer
IDMWORKS —Remote
AI & LLMs: Hands-on experience working with LiteLLM for model management and direct integration experience with Anthropic / Claude APIs.
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9d
SailPoint ISC Solution Architect
KeyData Cyber —Remote
In this role, you will be responsible for leading the architecture, design, and implementation of SailPoint Identity Security Cloud (ISC) solutions for…
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Strategic Cloud Engineer – GCP Platform & FinOps

Ontrac Solutions
Remote

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Job details

Contractual / Temporary

Qualifications

CI/CD
Elasticsearch
Azure
Node.js
Kubernetes
Git
Google Cloud Platform
Bash (Unix shell)
AWS
Distributed systems
Terraform
Continuous integration
Computer networking
GitHub
Apache
AI
GitLab
Python
Debugging
Identity & access management

Full job description

We are seeking a Strategic Cloud Engineer to operate at the intersection of GCP FinOps (cost optimisation), Kubernetes platform engineering, operational excellence and agentic-AI-driven development.

This is a high-leverage engineering role responsible for optimising cloud spend, increasing platform reliability, and accelerating engineering output through automation and AI-assisted workflows. You will work across GCP, Kubernetes, Terraform and modern AI-assisted development environments. The environment is a high-scale, regulated, multi-product SaaS platform.

What you'll own

GCP cost optimisation & FinOps — rightsizing, autoscaling and workload efficiency; cost-observability dashboards (Grafana / BigQuery / billing exports); partnering with engineering teams to architect cost-efficient solutions
Kubernetes platform operations (GKE / multi-cluster) — cluster lifecycle, upgrades, node pools and scaling; ingress and domain routing; secrets, environment variables and service deployments; multi-tenant SaaS customer lifecycle events
Infrastructure as code & automation — own and evolve Terraform provisioning; support and optimise GitLab CI/CD rollout pipelines; automate customer provisioning and environment configuration
Platform services & observability — VictoriaMetrics, StatsD, Grafana, Google Cloud Monitoring, Elasticsearch / OpenSearch, Apache Airflow; troubleshooting distributed systems and production incidents
Global operations & reliability — instance provisioning and decommissioning, domain mapping, infrastructure support across providers including Hetzner, and participation in an on-call rotation
Agentic-AI engineering enablement — using AI-assisted tools (Cursor, OpenCode, multi-model AI development workflows) to accelerate infrastructure development, automate operational runbooks, and improve debugging of CI/CD pipelines and distributed systems

Core technical requirements

Strong expertise in Google Cloud Platform — GKE, Compute Engine, IAM, networking
Proven experience with Terraform in production environments
3+ years managing production Kubernetes — cluster lifecycle and upgrades, ingress / reverse-proxy configuration, secrets and configuration management
Demonstrated ability to optimise cloud spend in production — cost allocation and usage patterns, rightsizing and scaling strategies, and building cost-visibility dashboards
GitLab CI/CD (preferred) or GitHub Actions, with the ability to debug pipelines and support release workflows
Grafana / VictoriaMetrics / StatsD / Google Cloud Monitoring; Elasticsearch / OpenSearch; Apache Airflow / Airbyte / n8n
Scripting in Python, Bash or similar
Agentic AI development (required baseline) — working familiarity with AI-native IDEs such as Cursor and agent-based development environments, and the ability to use AI to generate, review and optimise infrastructure code

Nice to have

Multi-cloud exposure (AWS / Azure)
Experience in regulated environments (SOC 2, ISO)
Exposure to European infrastructure providers (Hetzner)
Experience building internal developer platforms (IDP)

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