Design, implement, and maintain secure, reliable, and scalable cloud infrastructure.
Build and improve CI/CD pipelines that support frequent, repeatable, and low-risk deployments.
Automate infrastructure provisioning, configuration, deployment, and environment management.
Maintain infrastructure as code using tools such as Terraform , CloudFormation , Pulumi , or comparable technologies.
Improve consistency across development, testing, staging, and production environments.
Build and maintain containerized application environments and orchestration capabilities.
Implement and improve monitoring, logging, tracing, alerting, dashboards, and production-health reporting.
Partner with engineers to establish SLIs , SLOs , and actionable operational metrics.
Improve application and infrastructure resiliency, scalability, availability, and disaster recovery readiness.
Manage secrets, certificates, identity, permissions, network controls, and cloud security configurations.
Support vulnerability management, dependency security, patching, and infrastructure hardening.
Improve deployment strategies including automated rollback, blue-green deployment, canary releases.
Diagnose and resolve production incidents involving infrastructure, networking, application deployment, performance, capacity, or cloud services.
Participate in incident response, post-incident reviews, root-cause analysis, and corrective-action planning.
Reduce cloud waste and improve infrastructure cost visibility.
Build self-service tools and reusable deployment patterns for application engineering teams.
Document infrastructure architecture, operational procedures, recovery processes, and troubleshooting guidance.
Participate in production support and an appropriate on-call rotation.
Use AI-assisted engineering tools to accelerate scripting, troubleshooting, documentation, and infrastructure analysis.
Approximately 5+ years of experience in DevOps, SRE, Cloud Engineering, Platform Engineering, or closely related role.
Strong experience operating production workloads in AWS .
Strong hands-on experience with infrastructure as code ( Terraform , CloudFormation , Pulumi ).
Experience building and maintaining CI/CD pipelines ( GitHub Actions , GitLab CI , Jenkins , CircleCI , AWS CodePipeline ).
Strong knowledge of Docker and containerized application delivery.
Experience with Kubernetes , Amazon ECS , or another container orchestration platform.
Strong understanding of cloud networking ( VPCs , subnets, routing, load balancers, DNS, firewalls, gateways, private connectivity).
Experience with cloud IAM , role-based access, least-privilege design, and secrets management.
Experience implementing logging, metrics, dashboards, alerts, and distributed tracing.
Familiarity with observability platforms ( Datadog , New Relic , Grafana , Prometheus , CloudWatch , OpenTelemetry ).
Strong Linux and command-line skills.
Scripting experience with Python , Bash , JavaScript , or comparable language.
Understanding of application deployment patterns for modern web applications, APIs, background workers, and event-driven systems.
Experience supporting relational databases, backups, restore processes, high availability.
Knowledge of incident-management practices, root-cause analysis, capacity planning, and production-readiness reviews.
Working knowledge of cloud security, vulnerability remediation, encryption, certificates, key management, and compliance-oriented controls.
Experience supporting a multi-tenant SaaS platform.
Experience with serverless infrastructure and event-driven cloud services.
Experience with PostgreSQL and managed database services.
Experience with CDNs, media delivery, large-file processing, video workloads, or storage-intensive applications.
Experience with security and compliance frameworks relevant to enterprise SaaS.
Experience building internal developer platforms or self-service engineering capabilities.
Experience with automated performance, resilience, chaos, or disaster-recovery testing.
Experience improving cloud cost allocation, forecasting, and optimization.
Experience supporting globally distributed engineering teams.
Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
Be part of a global team with equal opportunities for collaboration across continents and cultures.
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
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