Job Category: TechOps – CloudOps

Job Types: Full Time

Job Locations: Bangalore Mysore Remote

About Unilog

Unilog is the only connected product content and eCommerce provider serving the Wholesale Distribution, Manufacturing, and Specialty Retail industries. Our flagship CX1 Platform is at the center of some of the most successful digital transformations in North America. CX1 Platform’s syndicated product content, integrated eCommerce storefront, and automated PIM tool simplify our customers’ path to success in the digital marketplace.
With more than 500 customers, Unilog is uniquely positioned as the leader in eCommerce and product content for Wholesale distribution, manufacturing, and specialty retail.

Unilog’s Mission Statement

At Unilog, our mission is to provide purpose-built connected product content and eCommerce solutions that empower our customers to succeed in the face of intense competition. By virtue of living our mission, we are able to transform the way Wholesale Distributors, Manufacturers, and Specialty Retailers go to market. We help our customers extend a digital version of their business and accelerate their growth.
Job Title: CloudOps Engineer
Location: Bangalore / Mysore / Remote

Job Synopsis

We are seeking a skilled and forward-thinking CloudOps Engineer to join our Cloud Operations team. In this role, you will be responsible for maintaining, optimizing, and scaling our modern SaaS-based eCommerce infrastructure. In addition to core cloud operations, you will play a key role in supporting our next-generation AI features, LLM orchestration pipelines, and agentic commerce workflows, ensuring high availability, security, and peak performance.

Key Responsibilities

- Cloud Infrastructure: Deploy, configure, and maintain scalable, cloud-based solutions on Google Cloud Platform (GCP).
- Resource & Cost Optimization: Monitor and optimize cloud resources—including compute, memory, and database workloads—to maximize performance and drive cost efficiency (e.g.,



managing Committed Use Discounts).
- Container Orchestration: Troubleshoot Kubernetes (GKE) workloads, manage container networking, optimize autoscaling policies, and implement best practices for containerized applications.
- AI & Data Infrastructure Support: Provision and manage infrastructure optimized for AI workloads, including vector databases, model deployment pipelines, and API gateways for LLM orchestration.
- Observability: Configure and manage Google Cloud Monitoring, Logging, and Alerting (OpsSuite) to ensure proactive detection of system anomalies and AI inference latency issues.
- Security & Networking: Implement and enforce strict IAM policies, secure VPC networking, and firewall rules to protect sensitive enterprise and AI-training data assets.

Qualifications and Skills

Education & Experience

- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 1 to 2 years of qualified experience in CloudOps, DevOps, or Site Reliability Engineering (SRE).

Core Technical Skills

- Cloud Platform: Hands-on experience with core Google Cloud Platform (GCP) services (Compute Engine, GKE, Cloud Storage, Cloud SQL, VPC).
- Containers & Orchestration: Expertise in Docker containerization and Kubernetes management.
- Infrastructure as Code: Solid foundational experience with Terraform or similar IaC tools for reproducible deployments.
- Systems & OS: Proficiency in managing, configuring, and troubleshooting Linux systems, particularly Ubuntu and Rocky Linux.

AI & Emerging Tech Requirements (Must-Have)

- AI Infrastructure Familiarity:



Understanding of cloud infrastructure requirements for hosting AI models, utilizing vector databases (e.g., Pinecone, Milvus, or pgvector), or managing embedding generation pipelines.
- AI-Driven Workflows: Experience leveraging AI coding assistants (e.g., Claude, GitHub Copilot) to accelerate scripting, debugging, and infrastructure automation tasks.
- API & Integration Concepts: Solid understanding of RESTful APIs, JSON payloads, and basic data orchestration principles required to support agentic or multi-agent system connectivity.

Soft Skills

- Excellent analytical, problem-solving, and troubleshooting skills under pressure.
- Strong communication and collaboration abilities to bridge the gap between development teams and core operations.
- Ability to adapt quickly and thrive in a fast-paced, energetic environment.

Ability to exemplify the core Unilog Company values:

- Curiosity: Be passionate about achieving excellence. Learn every day.
- Conscience: Be caring of others. Act with integrity.
- Courage: Be brave. Pursue outrageous goals.
- Compete: Be fair. Play to win.
- Courtesy: Be humble. Serve customers.
- Commitment: Be accountable. Own your results.

About our Benefits:

- Competitive salary and benefits package.
- Opportunities for professional development, cloud certifications, and hands-on training in cutting-edge AI technologies.
- Collaborative, innovative, and forward-thinking work environment.
- Comprehensive health and wellness programs.

Unilog is committed to building the best team and we are committed to fair hiring practices where we hire people for their potential and advocate for diversity, equity, and inclusion. As such, we do not discriminate or make decisions based on your race, color, religion, creed, ancestry, sex, national origin, age, disability, familial status, marital status, military status, veteran status, sexual orientation, gender identity, or expression, or any other protected class.

📌 CloudOps Engineer (India)
🏢 unilog
📍 India