DataOps Engineer

United States Digital Space LLC; Maharashtra; On-site; INR 1,500,000 - 2,400,000; Full time

Job summary

United States Digital Space LLC is seeking a DataOps Engineer in India to ensure reliability, security and operational excellence of the data platform. You will automate platform operations, maintain cloud infrastructure, and support CI/CD pipelines to enable scalable data initiatives across global teams.

You will own end‑to‑end platform reliability, implement observability with Datadog, and drive cost and performance optimisations while collaborating with Data Engineers, Security and

Qualifications

• Proven experience operating modern data platforms.
• Strong automation, observability and security practices.
• Ability to work with multiple teams across time zones.

Responsibilities

• Manage and maintain Snowflake, Kafka, AWS, MongoDB and supporting data platform infrastructure.
• Build and maintain CI/CD pipelines and deployment automation.
• Develop IaC using Terraform.
• Manage AWS networking including VPCs, VPC Peering, PrivateLink and secure networking.
• Support Confluent Kafka platform operations and data integration patterns.
• Implement monitoring and observability with Datadog.
• Lead incident response and post‑mortem improvements.
• Optimize platform reliability, cost and performance.
• Maintain platform documents and runbooks.

Skills

AWS fundamentals

Snowflake Administration

MongoDB

Confluent Kafka Platform

Python

SQL

Git

CI/CD pipelines

Infrastructure as Code

Data Observability

Incident Management

Production Support

Security patching

Vulnerability Management

Performance optimisation

Cost optimisation

VPC

VPC Peering

PrivateLink

Route 53

IAM

Airflow

Platform Engineering

SRE practices

Tools

Terraform

Datadog

Job description

Purpose of the job

The DataOps Engineer will play a critical role in ensuring the reliability, security and operational excellence of the company's modern data platform. As a key member of the Data & Analytics team, you will be responsible for automating platform operations, maintaining cloud infrastructure, supporting CI/CD pipelines and ensuring the platform remains secure, scalable and highly available.

In this hands‑on role, you will work closely with Data Engineers, Security, Infrastructure and Product teams to support enterprise-wide data initiatives through automation, observability and platform standardisation.

Key Responsibilities

• Manage and maintain Snowflake, Kafka, AWS, MongoDB and supporting data platform infrastructure.
• Build and maintain CI/CD pipelines and deployment automation.
• Develop and maintain Infrastructure as Code using Terraform.
• Manage AWS networking including VPCs, VPC Peering, PrivateLink and secure private networking.
• Work with the Central Network team to implement and support enterprise networking solutions.
• Support Confluent Kafka platform operations and event‑driven data integration patterns.
• Perform platform patching, upgrades, and lifecycle management.
• Ensure timely remediation of security vulnerabilities and compliance with security standards.
• Implement monitoring, alerting and observability using Datadog and platform monitoring tools.
• Support production incidents, root cause analysis, and operational improvements.
• Maintain platform documentation, operational runbooks, and engineering standards.
• Optimize platform performance, reliability, and cloud costs.
• Support platform governance, access management, and disaster recovery activities.
• Evaluate emerging technologies and recommend improvements to platform engineering practices.
• Own operational excellence of the data platform.
• Define and improve platform reliability standards.
• Drive automation and reduce manual operational effort.
• Improve developer experience for data engineering teams.
• Develop and maintain operational metrics, SLAs and SLOs to improve platform reliability and availability.

Knowledge, skills and experience required

Mandatory Technical Skills

DataOps & Platform Engineering

• AWS fundamentals
• Snowflake Administration
• MongoDB
• Confluent Kafka Platform
• Python
• SQL
• Git
• CI/CD pipelines
• Infrastructure as Code (Terraform)
• Data Observability and Monitoring (Datadog)
• Incident Management
• Production Support
• Security Patching
• Vulnerability Management
• Performance optimisation
• Cost optimisation

AWS Networking

• VPC
• VPC Peering
• AWS PrivateLink
• Route 53
• Security Groups
• IAM
• Private networking
• Central Network integration

Preferred Skills

• AWS Transit Gateway
• AWS Direct Connect / VPN concepts
• Datadog dashboards and alerting
• Airflow
• Platform Engineering / SRE practices

Nice to Have

• Generative AI fundamentals
• LLM integration patterns
• AI Agent frameworks
• Machine Learning platform awareness
• Real‑time analytics architectures

Person Specification

• Self‑motivator with a desire to learn new skills and embrace new technologies in a constantly changing technology landscape
• Strong problem‑solving and analytical skills.
• Passion for automation, reliability and secure platform operations.
• Self‑motivated with a continuous learning mindset.
• Strong stakeholder management and communication skills.
• Ability to communicate technical concepts to non‑technical audiences.
• Collaborative team player who thrives in agile environments.
• Quality‑focused with strong attention to detail.
• Ability to balance business priorities with technical excellence.
• Proactive in identifying opportunities for improvement and innovation.
• Comfortable working across global teams and multiple business domains.