Senior DevOps Engineer (Cloud & MongoDB & Terraform), PK (Remote, Full-Time) [HR154] at smart-working-solutions

<div> <p><strong>About Smart Working</strong><br>At Smart Working Solutions, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.</p> <p>Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.</p> <p>Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.</p> <p><strong>About the Role</strong><br>We are looking for a <strong>Senior DevOps Engineer</strong> with strong cloud infrastructure expertise <strong>(GCP / AWS / Azure)</strong> using <strong>Terraform</strong> and deep<strong> MongoDB Atlas </strong>ownership experience to design, operate, and scale a cloud-native infrastructure powering a large enterprise SaaS platform.</p> <p>This is a high-ownership, architecture-level role, not just execution. You will be responsible for designing and running production systems end-to-end, with a particular focus on database infrastructure (MongoDB Atlas) and scalable cloud environments.<br>You will work in a fully remote, async-first environment, collaborating closely with engineering teams to ensure high availability, performance, and operational excellence across multiple environments.</p> </div> Responsibilities • Design, implement, and operate cloud-native infrastructure across GCP, AWS, or Azure using Terraform. • Take full ownership of MongoDB Atlas in production, including: • Cluster architecture and scaling • Replication and high availability • Backup and disaster recovery strategies • Performance tuning and query optimisation • Security and access control • Architect and manage containerised and serverless workloads (e.g., Cloud Run, ECS, Kubernetes, or equivalents). • Design and operate event-driven systems (e.g., Pub/Sub, SQS/SNS, EventBridge, or equivalents). • Build and maintain CI/CD pipelines with a strong focus on automation, reliability, and scalability. • Develop reusable Infrastructure as Code (Terraform) modules and manage multi-environment setups. • Collaborate with engineering teams on system architecture, scalability, and performance optimisation. • Implement robust monitoring, alerting, and observability across distributed systems. • Lead incident response and root cause analysis, driving long-term improvements. • Own infrastructure decisions end-to-end, including architecture, cost optimisation, and performance. • Document systems, create runbooks, and establish best practices. • Mentor engineers and promote DevOps best practices across the organisation. Requirements • 6+ years of DevOps / Infrastructure Engineering experience in production environments. • Strong hands-on experience with at least one major cloud provider: GCP, AWS, or Azure using Terraform. • Advanced experience with Terraform (modularisation, remote state, multi-environment setups). • Proven experience designing and operating scalable cloud infrastructure. • Mandatory: Deep MongoDB Atlas experience in production, including: • Cluster configuration and scaling • Replication and failover • Backup and recovery strategies • Performance tuning and indexing • Security and access management • Experience with containerised environments (Docker, Kubernetes, or equivalents). • Experience building and maintaining CI/CD pipelines. • Solid understanding of event-driven architectures. • Strong knowledge of monitoring, logging, and observability in distributed systems. • Ability to operate at an architect/owner level, not just execute tasks. • Strong communication skills and ability to work in a remote, async-first team. Nice to Have • Experience working across multiple cloud providers. • Experience implementing GitOps practices. • Familiarity with advanced observability tools (Datadog, APM, tracing). • Experience supporting high-scale SaaS platforms. • Interest in platform engineering and developer experience. At Smart Working, you’ll never be just another remote hire. Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.