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Why Join HYCU HYCU is the fastest-growing leader in the multi-cloud and SaaS data protection as a service industry. By bringing true SaaS-based data backup and recovery to on-premises, cloud-native, and SaaS IT environments, the company provides unrivaled data protection, migration, disaster recovery, and ransomware protection to thousands of companies worldwide. The company's award-winning R-Cloud platform eliminates complexity, risk, and the high cost of legacy-based solutions, providing data protection simplicity to make it the #1 SaaS Data Protection platform. With an industry leading NPS score of 91, HYCU has raised $140M in VC funding to date and is based in Boston, Mass. Learn more at www.hycu.com. Job Summary (Essential Functions) Design, build, and operate highly available, scalable cloud infrastructure for AiR. Build and operate Kubernetes-based environments supporting backend, data, search, and AI workloads. Define and maintain Infrastructure as Code for repeatable and controlled environment provisioning. Build and optimize CI/CD pipelines across AiR services. Establish monitoring, logging, tracing, alerting, and operational dashboards across the platform. Implement infrastructure security, secrets management, IAM, and least-privilege access controls. Enable reliable deployment and operation of AI/LLM integrations and agentic services without requiring ownership of model training infrastructure. Automate environment provisioning, deployment, configuration, upgrades, and operational workflows. Partner with engineering teams to improve reliability, scalability, performance, and developer productivity. Establish production-readiness standards and participate in incident response and root-cause analysis. Technical Skills & Job Requirements Strong hands-on experience with public cloud infrastructure such as AWS, Azure, or GCP. Deep experience with Kubernetes and Docker in production environments. Strong experience with Infrastructure as Code, preferably Terraform. Experience designing and maintaining CI/CD pipelines using technologies such as GitHub Actions, GitLab CI, Jenkins, or equivalent. Strong understanding of cloud networking, load balancing, DNS, service discovery, storage, and identity/access management. Experience implementing observability using technologies such as Prometheus, Grafana, OpenTelemetry, Datadog, ELK/OpenSearch, or equivalent. Strong understanding of production reliability patterns including high availability, fault tolerance, disaster recovery, capacity planning, and autoscaling. Experience with secrets and configuration management. Strong scripting and automation skills using Python, Bash, or equivalent. Understanding of infrastructure security, vulnerability management, IAM/RBAC, and least-privilege principles. Experience supporting distributed, data-intensive, or high-throughput production systems. Strongly Preferred Experience operating OpenSearch/Elasticsearch, Kafka, Redis, databases, or similar stateful distributed platforms. Experience supporting AI/LLM applications, vector databases, inference APIs, or agentic workloads. Experience with GitOps technologies such as Argo CD or Flux. Experience implementing FinOps practices, cloud cost monitoring, and resource optimization. Experience supporting multi-tenant enterprise SaaS platforms. Familiarity with SRE practices including SLOs, SLIs, error budgets, incident management, and capacity planning. Responsibilities Own the infrastructure foundation and deployment architecture for HYCU AiR. Define infrastructure standards and reusable deployment patterns across engineering teams. Build automated and reproducible development, test, staging, and production environments. Ensure infrastructure supports secure isolation and scaling of enterprise workloads. Build comprehensive observability across applications and infrastructure. Establish alerting, operational dashboards, and production health metrics. Improve deployment frequency and reliability through CI/CD and infrastructure automation. Partner with developers to diagnose infrastructure, networking, performance, and production issues. Drive infrastructure cost optimization without compromising reliability or performance. Establish backup, recovery, resilience, and operational-readiness practices for platform infrastructure. Continuously identify infrastructure risks, operational bottlenecks, and opportunities for automation. Education & Experience Bachelors or Masters degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 69 years of experience in DevOps, Cloud Infrastructure, Platform Engineering, or Site Reliability Engineering. Demonstrated experience owning production cloud infrastructure at scale. Experience supporting enterprise SaaS, distributed systems, or data-intensive platforms. Proven ability to work across development and architecture teams and drive infrastructure decisions from design
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.