DevOps Engineer

Role Overview

We seek a proactive Cloud Platform & DevOps Engineer to join our product and solution engineering division. Our team delivers data, analytics, AI, and digital products across sectors like Retail & CPG, Media & Entertainment, Sports, Energy, and Telecommunications. This role involves collaboration with architects, developers, data and AI/ML engineers, and delivery teams to deploy, automate, secure, monitor, and manage cloud environments powering these solutions. The position blends Cloud Engineering, DevOps, Platform Engineering, and Site Reliability Engineering (SRE), spanning from development and proof of concepts (POCs) to full-scale enterprise production deployments.

Key Responsibilities

• Create, deploy, and maintain cloud infrastructure for diverse data and digital products in AWS, Azure, and GCP environments.
• Configure and manage CI/CD pipelines, Infrastructure as Code, and deployment automation using tools such as Terraform, GitHub Actions, Azure DevOps, GitLab CI/CD, Jenkins, or their equivalents.
• Deploy and maintain applications using virtual machines, Docker containers, Kubernetes, serverless services, databases, and cloud storage according to project requirements.
• Manage cloud application hosting and configurations, including networking, DNS, SSL/TLS, load balancing, IAM, secrets management, Single Sign-On (SSO), and access controls.
• Implement monitoring, logging, alerting, and operational workflows to ensure application reliability, security, observability, and readiness for production.
• Diagnose and resolve issues related to infrastructure, deployments, networking, access, and performance across Development, User Acceptance Testing, and Production environments.
• Collaborate with cross-functional teams to transition solutions from development and POCs into production environments.
• Develop reusable cloud and DevOps templates, deployment patterns, comprehensive technical documentation, and operational runbooks applicable across products and client setups.
• Drive continuous enhancements in platform reliability, scalability, security, automation, and cost-effective cloud resource utilization.

Candidate Profile

• Between 2 to 6 years of experience in Cloud Engineering, DevOps, Site Reliability Engineering, Platform Engineering, or Cloud Operations.
• Proficient hands-on experience with at least one major cloud service provider: AWS, Azure, or GCP.
• Strong grasp of essential cloud components such as compute, storage, networking, databases, Identity and Access Management (IAM), serverless computing, and managed application services.
• Experience with Linux system administration, Git workflows, shell scripting, and CI/CD tooling.
• Skilled in Infrastructure as Code tools including Terraform, CloudFormation, Bicep, or equivalents.
• Practical knowledge of Docker and containerized applications, with a working understanding of Kubernetes orchestration.
• Understanding of DNS, SSL/TLS, routing, firewall or security groups, load balancing, IAM, secrets management, along with basic cloud security protocols.
• Hands-on exposure to monitoring, logging, troubleshooting, and supporting applications hosted in the cloud.
• Familiarity with managed cloud databases such as PostgreSQL and MySQL.
• Capability in scripting or programming using languages like Python, Bash, PowerShell, or similar.
• Excellent analytical and problem-solving aptitude, demonstrated learning agility, and ability to effectively collaborate across teams.

Preferred Qualifications

• Experience across multiple cloud platforms or managed Kubernetes services like Amazon EKS, Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE).
• Exposure to supporting SaaS products, multi-tenant applications, reusable product platforms, or enterprise-scale client deployments.
• Knowledge of modern data platforms including Snowflake, Databricks, Microsoft Fabric, and Kafka.
• Experience deploying AI/ML or Generative AI workloads, containerized APIs, or applications.
• Familiarity with enterprise identity solutions and SSO integration using SAML or OpenID Connect (OIDC).
• Understanding of observability and monitoring tools such as AWS CloudWatch, Azure Monitor, Google Cloud Operations, Grafana, Prometheus, Datadog, or Splunk.
• Awareness of SRE methodologies like incident management, root cause analysis, resiliency planning, backup and recovery, and service level indicators and objectives (SLIs/SLOs).
• Relevant certifications in AWS, Microsoft Azure, Google Cloud, Kubernetes, or Terraform are an advantage.