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Company Description Margins is an AI enablement and custom AI software development company that helps organizations harness modern AI to gain sustainable competitive advantage. Our team team combines strategic consulting, strong engineering practices, and deep AI expertise to deliver production-ready systems with clear business impact. Margins builds solutions ranging from LLM applications and multi-agent orchestration to computer vision and retrieval-augmented generation (RAG). These AI systems integrate with core enterprise platforms such as CRM, ERP, ITSM, and HRIS to drive automation, compliance, and scalability. We focus on real outcomes, including faster time-to-impact, measurable value, and AI that grows with each client’s needs. Responsibilities - Design, build, and maintain CI/CD pipelines (GitHub Actions, AWS CodeBuild), including build/test/deploy stages and promotion across environments - Manage infrastructure as code using AWS CDK, AWS Copilot CLI, and CloudFormation - Design and maintain serverless and event-driven architectures following AWS Well-Architected best practices - Support multitenant system design (tenant isolation, scaling, cost attribution) - Manage containerized workloads (Docker/ECS), including autoscaling policies and resource optimization - Build and maintain monitoring, logging, and alerting (CloudWatch metrics, alarms, dashboards, log aggregation) - Implement and maintain cloud security and access controls (IAM, IAM Identity Center, least-privilege policies, secrets management) - Manage networking and connectivity (VPC, subnets, security groups, load balancers) - Monitor and act on AWS Trusted Advisor recommendations across cost, security, and performance - Support incident response and production troubleshooting; drive root-cause analysis and preventative fixes - Write automation scripts and internal tooling (Bash, Python) - Collaborate with dev, QA, and product teams on deployment strategy, environment management, and release readiness Requirements - 3+ years in a DevOps, Cloud Infrastructure or simmilar roles - Strong hands-on AWS experience across compute, networking, and serverless services - Proficiency with IaC tooling (AWS CDK, CloudFormation; Copilot CLI a plus) - Experience building and maintaining CI/CD pipelines (GitHub Actions, CodeBuild) - Solid understanding of serverless, event-driven, and multitenant architecture patterns - Experience with Docker and container orchestration, including autoscaling - Proficiency in Bash and Python for automation - Working knowledge of cloud security, IAM, and cost/security governance tooling - Experience with monitoring and observability practices - Strong communication skills; able to collaborate across time zones (including US) Nice to have - AWS certification (e.g., Solutions Architect or DevOps Engineer) - Experience with multi-account AWS setups (AWS Organizations, SCPs) - Familiarity with compliance/security scanning tools (CSPM, CloudTrail auditing)
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.