Senior DevOps & Multi-Cloud Engineer

Logixgrid Technologies; Gurugram District; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Logixgrid Technologies seeks a Senior DevOps Engineer to ensure seamless deployments, high uptime, and strict SLA adherence across AWS and GCP. You will design scalable infrastructure, automate releases, and drive governance across production environments.

You will own IaC and CI/CD pipelines, monitor cross-cloud performance, and support enterprise client onboarding with robust incident response and RCA processes.

Qualifications

• 4+ years of experience in DevOps, SRE or cloud architecture.
• Advanced AWS architecture with EKS/ECS/Lambda and RDS options like Aurora.
• GCP expertise in GKE/Compute Engine and Cloud DNS.
• Experience with multi-cloud governance, IaC, and security best practices.

Responsibilities

• Infrastructure & multi-cloud management across AWS and GCP; manage legacy or external client infra on third-party hosts.
• Own end-to-end release lifecycle; plan blue-green/canary deployments for zero-downtime upgrades.
• Ensure SaaS SLAs, monitor global production systems, and perform RCA with preventive actions.
• Design and maintain CI/CD pipelines; enforce Infrastructure as Code for environment consistency.

Skills

DevOps

Cloud Architecture

AWS

GCP

Kubernetes

Terraform

CI/CD

SRE

Python

Tools

Docker

Kubernetes

GitHub Actions

Jenkins

Terraform

Datadog

Prometheus

CloudWatch

Job description

Company Overview

At Logixgrid, we build and support mission-critical logistics platforms used by global clients. We are looking for a Senior DevOps Engineer who can ensure seamless deployments, high system uptime, and strong SLA adherence across a complex, multi-cloud environment.

This role requires someone who can balance scalable infrastructure management, rigorous release governance, and client-facing reliability expectations while working closely with product, support, and implementation teams.

Key Responsibilities

1. Infrastructure & Multi-Cloud Management

• Manage, scale, and optimize infrastructure across a multi-cloud ecosystem, including Amazon Web Services (AWS) and Google Cloud Platform (GCP).
• Oversee and maintain legacy or external client infrastructures hosted on third-party providers like GoDaddy (managing DNS, VPS, SSL certificates, and domain migrations).
• Ensure high availability, auto-scaling, fault tolerance, and security of our multi-tenant SaaS logistics platforms.
• Handle environment provisioning and isolation for new enterprise client onboarding (Production, Staging, UAT).

2. Release & Deployment Management

• Own the end-to-end release lifecycle for SaaS product versions and client-specific deployments.
• Plan, schedule, and execute blue-green or canary deployments to achieve zero-downtime upgrades.
• Maintain rigorous release checklists, automated rollback strategies, and strict version control.

3. SLA & Production Support

• Ensure strict adherence to defined SaaS SLAs (uptime, response time, and resolution time).
• Monitor production systems globally and proactively address cross-cloud performance degradation.
• Support critical incidents, conduct Root Cause Analysis (RCA), and implement preventive engineering actions.
• Collaborate with the Client Success Team during enterprise escalations.

4. CI/CD & Automation (Infrastructure as Code)

• Design, maintain, and secure robust CI/CD pipelines for continuous, automated delivery.
• Enforce Infrastructure as Code (IaC) to ensure environment consistency across AWS, GCP, and other hosting environments.
• Automate routine operational tasks, patching, and configuration management to minimize manual intervention.

5. Monitoring & Site Reliability Engineering (SRE)

• Implement centralized multi-cloud monitoring, distributed tracing, and aggregated logging systems.
• Track system health, API latency, database performance, and cross-cloud networking metrics.
• Ensure zero/low downtime during peak global logistics operations and high-transaction windows.

Required Skills & Qualifications

Cloud & Infrastructure Expertise

• 4+ years of experience in DevOps, Cloud Architecture, or Site Reliability Engineering (SRE).
• Advanced AWS Architecture Ecosystem: Deep hands-on experience with services required to run a scalable SaaS application:
• • Compute & Orchestration: EKS (Elastic Kubernetes Service), ECS (Elastic Container Service), AWS Fargate, and Lambda for serverless scaling.
  • Data & Caching: Aurora MySQL/PostgreSQL (with read replicas), DynamoDB, ElastiCache (Redis/Memcached), and Amazon OpenSearch (Elasticsearch).
  • Networking & Content Delivery: Route 53, CloudFront (CDN), ALB/NLB (Load Balancers), VPC Peering, and AWS Transit Gateway.
  • Security & Governance: AWS IAM, Secrets Manager, KMS (Key Management Service), WAF (Web Application Firewall), and Shield.
• Google Cloud Platform (GCP): Solid experience managing GKE (Google Kubernetes Engine), Compute Engine, Cloud SQL, Cloud DNS, and GCP IAM networks.
• External & Hybrid Cloud Management: Proven experience handling DNS management, registrar configurations, web hosting, and resource migration out of platforms like GoDaddy.

DevOps Tooling & Engineering

• Containerization: Mastery of Docker and production-grade Kubernetes management (ingress controllers, service meshes, auto-scaling policies).
• Infrastructure as Code: Strong proficiency with Terraform for multi-cloud provisioning (AWS & GCP modules).
• CI/CD Tools: Advanced experience with GitHub Actions, Jenkins, or GitLab CI.
• Observability Stack: Hands-on experience with tools like Prometheus, Grafana, Datadog, ELK Stack (Elasticsearch, Logstash, Kibana), or AWS CloudWatch/GCP Operations Suite.
• Systems & Scripting: Solid understanding of Linux/Unix administration and proficiency in Python, Go, or Bash for automation.

Good to Have (Logistics Domain Advantage)

• Experience working with high-transaction logistics, supply chain, or fintech SaaS platforms.
• Exposure to high-throughput systems handling real-time IoT tracking APIs, webhooks, and heavy order volumes.
• Experience in 24x7 production support or follow-the-sun engineering models.

Key Success Metrics (KPIs)

• SLA Adherence: Maintain >99.9% platform uptime and minimize Mean Time to Resolution (MTTR).
• Deployment Velocity: Increase deployment frequency while maintaining a near-zero rollback rate.
• Automation Coverage: Percentage reduction in manual environment provisioning and configuration drift.
• Cloud Cost Optimization: Efficient resource utilization across AWS, GCP, and third-party hostings.

Soft Skills

• Ownership Mindset: High accountability for system uptime and critical infrastructure.
• Calm Under Pressure: Ability to methodically triage and resolve critical production incidents.
• Clear Communication: Ability to bridge technical infrastructure realities with business and client success teams.

Why Join Logixgrid

• Architect and manage a sophisticated, multi-cloud infrastructure powering real-world global supply chains.
• Work with a modern, enterprise-grade cloud-native tech stack (Kubernetes, Serverless, IaC).
• Collaborate in a growth-oriented, engineering-first culture where automation is valued over firefighting.