Senior DevOps Engineer (Cloud & MongoDB & Terraform), (Remote, Full-Time) [HR154]

Smart Working; Dadri; On-site; INR 1,200,000 - 1,900,000; Full time

Benefits offered by this job

Fixed working shifts

No weekend work

Laptop and medical insurance

Mentorship and community support

Long-term career opportunities

Job summary

A remote-first technology company is seeking a Senior DevOps Engineer to design and operate a cloud-native infrastructure. The ideal candidate will have strong expertise in cloud providers such as GCP, AWS, or Azure and deep ownership of MongoDB Atlas. Responsibilities include building CI/CD pipelines and managing containerized workloads in a fully remote environment. Applicants should have over 6 years of relevant experience, with a focus on architectural responsibilities and project ownership, promoting both operational excellence and team collaboration.

Qualifications

• 6+ years of DevOps / Infrastructure Engineering experience in production environments.
• Strong hands-on experience with GCP, AWS, or Azure using Terraform.
• Deep MongoDB Atlas experience in production.

Responsibilities

• Design and operate cloud-native infrastructure across GCP, AWS, or Azure.
• Take full ownership of MongoDB Atlas in production.
• Architect and manage containerized and serverless workloads.

Skills

Cloud infrastructure expertise

Terraform

MongoDB Atlas

CI/CD pipelines

Containerized environments

Job description

Overview

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. Our mission is 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. Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.

About the Role

We are looking for a Senior DevOps Engineer with strong cloud infrastructure expertise (GCP / AWS / Azure) using Terraform and deep MongoDB Atlas ownership experience to design, operate, and scale a cloud-native infrastructure powering a large enterprise SaaS platform. 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. 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.

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.

Benefits

• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
• No Weekend Work: Real work-life balance
• Day 1 Benefits: Laptop and full medical insurance provided
• Support That Matters: Mentorship, community, and collaboration
• True Belonging: A long-term career where your contributions are valued

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.