Platform Engineer

Mergen Corporates; Bengaluru; Hybrid; INR 2,000,000 - 3,000,000; Full time

Job summary

Mergen Corporates is looking for a seasoned platform engineer to define architectural standards and lead the evolution of large-scale distributed data platforms. Candidates must have over 8 years of experience in SRE or platform engineering, along with a deep understanding of Kubernetes and associated cloud-native deployments.

Key responsibilities include mentoring, influencing engineering teams, and establishing operational models in AWS environments. Strong programming skills and experience with observability platforms are essential.

Qualifications

• 8+ years of experience in platform engineering, SRE, or distributed systems-focused roles.
• Demonstrated expertise in MongoDB, Kafka, or ElasticSearch at high scale.
• Experience with large-scale Kubernetes environments, including managing stateful workloads.

Responsibilities

• Define and evolve architectural vision for distributed data platforms.
• Design highly available, scalable clusters for core data technologies.
• Solve complex distributed systems problems with a focus on scalability and security.

Skills

Platform engineering

SRE (Site Reliability Engineering)

Kubernetes

MongoDB

Kafka

ElasticSearch

Infrastructure as Code (Terraform)

AWS

Python

Java

Tools

Helm

Kustomize

ArgoCD

Prometheus

Grafana

ELK

Job description

Skills & Experience

• 8+ years of experience in platform engineering, SRE, or distributed systems-focused roles.
• Demonstrated subject matter expertise in operating at least one of MongoDB, Kafka, or ElasticSearch at high scale, including deep day-2 operational knowledge.
• Significant experience designing and operating large-scale, Kubernetes environments and associated ecosystem tooling (e.g. Helm, Kustomize, ArgoCD etc.). Experience managing stateful workloads on Kubernetes is a significant plus.
• Proven experience defining architectural standards and influencing technical direction across teams.
• Strong programming skills (Python, Java, or similar), with experience building internal platform APIs and automation tooling a significant plus.
• Extensive experience with Infrastructure as Code (e.g. Terraform) and cloud-native deployment models.
• Hands‑on experience operating enterprise-scale workloads in AWS.
• Experience designing and evolving observability platforms (e.g. Prometheus/Grafana, ELK) to support multi-cluster environments.
• Strong understanding of security principles and experience embedding security best practices into production environments and code promotion systems.
• Excellent communication skills with the ability to influence diverse technical and non‑technical stakeholders.

Core Responsibilities

• Define and evolve the architectural vision and operating standards for large-scale distributed data platforms.
• Lead the design and evolution of highly available, scalable clusters supporting core data technologies including MongoDB, Elasticsearch, and Apache Kafka.
• Solve complex, ambiguous distributed systems problems, balancing trade-offs across scalability, resilience, performance, security, and cost.
• Influence engineering teams to adopt platform standards, automation practices, and self‑service capabilities.
• Partner with engineering and product leadership to align platform capabilities with strategic business objectives.
• Establish reliability targets, operational models, and observability standards for stateful workloads on multi-cluster Kubernetes environments.
• Mentor engineers, lead design reviews, and raise the technical bar across the platform organization.
• Contribute as a senior escalation point within the on‑call rotation.