Engineer - Platform Engineering

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Responsible for driving system and service engineering initiatives across enterprise Object Storage platforms and related infrastructure technologies.

This is a hands-on Engineering role focused on designing, implementing, enhancing, and optimizing storage platforms and services.

Evaluate and integrate new technologies, develop engineering solutions, and drive continuous improvements in platform capabilities, scalability, performance, and reliability.

Work on complex technical challenges across Object Storage, Linux, networking, distributed systems, and observability platforms .

Develop tools, automation, and engineering frameworks to simplify and improve platform deployment, configuration, diagnostics, and management.

Collaborate with internal engineering teams and technology partners to design solutions and resolve complex technical challenges.

Take ownership of engineering deliverables and seek appropriate guidance where required to ensure quality outcomes.

Technical / Engineering degree in Computer Science, Information Technology, Electronics, or a related discipline.

2–6 years of relevant experience in system engineering, storage engineering, infrastructure engineering, or distributed systems.

Expertise in Object Storage technologies and S3-compatible platforms , such as DataCore / Caringo Swarm, MinIO / AIStor, NetApp StorageGRID, and other enterprise Object Storage platforms.

Strong understanding of Object Storage architecture, S3 APIs, data placement, erasure coding, replication, metadata, performance, scalability, and distributed-system concepts .

Good working knowledge of Linux OS (RHEL/CentOS/Ubuntu), including installation, configuration, OS internals, log analysis, troubleshooting, and performance analysis.

Strong understanding of networking protocols and concepts , including TCP/IP, DNS, HTTP/HTTPS, TLS, routing, load balancing, and network troubleshooting.

Good understanding of modern filesystems and storage technologies , including filesystem architecture, I/O characteristics, performance, and storage internals.

In-depth knowledge and hands-on experience with Elasticsearch, Logstash, Kibana, Prometheus, Victoria Metrics , and other observability and diagnostic technologies.

Strong programming and scripting skills in Python, Go, and Shell , with demonstrable experience in developing automation, engineering tools, utilities, and platform integrations.

Strong analytical and problem-solving skills with the ability to investigate complex distributed-system, storage, networking, and performance problems .

Good understanding of REST APIs, CLI tools, distributed systems, virtualization/container technologies, and cloud-native architectures is desirable.

Tata Communications, culture is represented by our leadership signature- DRIVE AHEAD. It is how we lead, collaborate, and live our values every day. It is defined through six core behaviours:

Accountability & Ownership

Collaboration

Agility

Can-Do Attitude & Growth Mindset

Innovation & Problem-Solving

Continuous Learning & Skill Transformation.

At Tata Communications, you’ll work on real problems and help build solutions that support businesses and communities around the world. Here, we support your growth through meaningful career opportunities, learning, hands-on experience, and the freedom to explore new ideas.

With us, you can build a career with purpose and impact.