Engineering Manager

Data Direct Networks; Pune District; On-site; INR 3,500,000 - 7,000,000; Full time

Benefits offered by this job

Competitive vacation plans

Paid holidays

Bonus programs

Tuition reimbursement

Employee referral program

Medical, dental and vision benefits

Paid leave programs

Anniversary and recognition awards

Job summary

Data Direct Networks in Pune (On-site) is seeking an Engineering Manager - Control Plane to lead design and development of Manageability solutions for the Infinia AI Data Platform. You will build scalable, cloud-native, API-first systems for petabyte-scale deployments.

Lead a distributed team, collaborate with product, SRE, security, and customer success to deliver automation, RBAC, IaC, and proactive capacity planning while ensuring security and reliability.

Qualifications

• 15+ years in software engineering, distributed systems, or cloud platforms.
• 5+ years in leadership or management roles.
• Experience building large-scale platform management or infrastructure systems.
• Background in distributed systems architecture and cloud-native technologies.
• Experience with APIs, microservices, and infrastructure-as-code (IaC).
• Familiarity with AI/ML concepts applied to operational analytics or automation.
• Experience managing teams delivering production-grade, enterprise-scale systems.
• Experience in storage, data platforms, or high-performance computing.
• Background in AI-driven operations or AIOps platforms.
• Experience with hybrid cloud and OnPrem deployments.
• Knowledge of security, compliance, and enterprise governance requirements.
• Familiarity with DevOps, SRE practices, and CI/CD pipelines.

Responsibilities

• Lead a high-performing engineering team across distributed systems, cloud infrastructure, and AI/ML.
• Collaborate with cross-functional teams (product, engineering, SRE, security, and customer success) to align platform capabilities with business and customer needs.
• Establish engineering best practices, development standards, and operational excellence frameworks.
• Implement policy-driven infrastructure management and Infrastructure-as-Code (IaC) frameworks.
• Develop self-service tooling and RBAC for enterprise customers.
• Design API-first management interfaces for integration with external tools and automation workflows.
• Drive proactive capacity planning and performance optimization for large-scale deployments.
• Build self-healing systems that reduce manual intervention and improve system resilience.
• Develop predictive analytics capabilities for capacity planning, performance forecasting, and integrate prescriptive insights into workflows.
• Define and enforce an API-first, cloud-native architecture across all components.
• Ensure systems are scalable, resilient, secure, and capable of operating at petabyte scale.

Skills

Distributed systems

Cloud platforms

Technical leadership

APIs & microservices

Infrastructure-as-Code

Job description

We are on our way to being the first company to power 1 MILLION GPUs and want world-class talent to join our amazing team!

The world is moving faster than ever, and yet, it will never move this slowly again. We are at the forefront of an incredible technological revolution but, at its core, it is fueled by incredible people. People like you.

1,000 Global Employees

11k Happy Customers

16 International Offices

We’re Looking for the Best and Brightest

We are the world’s leading data intelligence platform that reliably accelerates massive datasets for actionable real-time insights. Join our team to help the best and brightest minds tackle the world’s biggest challenges in business, science, medicine, academia and government.

Do What Can’t be Done

For the past 20 years, our team has kept us at the forefront of storage technology and has provided the foundation for enabling researchers to push the limits of “what can be done.”
These innovations take research and discovery to the next level, enabling them to discover cures to disease, observe global warming patterns, model innovative automotive and aerospace designs, discover new sources of energy, make communities safer, and accelerate business results across a wide variety of industries.

DDN Helps Build Your Future, Too

At DDN, we understand our customers’ diverse needs. Whether you’re a data scientist, IT professional, executive, or researcher, our solutions empower you with cutting‑edge technology and unparalleled support.

Highly Competitive Vacation Plans

Paid Holidays

Bonus Programs

Tuition Reimbursement

Employee Referral Program

Excellent Medical, Dental and Vision Benefits

Paid Leave Programs

Anniversary and Recognition Awards

Location

Employment Type

Full time

Location Type

On‑site

As an Engineering Manager - Control Plane, you will lead the design and development of Manageability solutions for the DDN Infinia AI Data Platform. This role is responsible for building foundational capabilities that enable centralized control, automated operations, and intelligent support across large‑scale hybrid (OnPrem + cloud) environments. You will lead a team delivering cloud‑native, API‑first, and AI/ML‑powered systems that ensure operational excellence, proactive incident management, and seamless user experiences at petabyte scale. This is a ground‑up platform leadership role focused on scalability, reliability, automation, and innovation.

Key responsibilities

Lead a high‑performing engineering team across distributed systems, cloud infrastructure, and AI/ML.

Collaborate with cross‑functional teams (product, engineering, SRE, security, and customer success) to align platform capabilities with business and customer needs.

Establish engineering best practices, development standards, and operational excellence

frameworks.

Implement policy‑driven infrastructure management and Infrastructure-as-Code (IaC)

frameworks.

Develop self‑service tooling and role‑based access control (RBAC) for enterprise customers.

Design API‑first management interfaces for integration with external tools and automation

workflows.

Drive proactive capacity planning and performance optimization for large‑scale deployments.

Build self‑healing systems that reduce manual intervention and improve system resilience.

Develop predictive analytics capabilities for capacity planning, performance forecasting, and

Integrate intelligent recommendations and prescriptive insights into operational workflows.

Define and enforce an API‑first, cloud‑native architecture across all components.

Ensure systems are highly scalable, resilient, secure, and capable of operating at petabyte

scale.

operations.

Oversee the design of distributed systems with high availability and fault tolerance.

Qualifications

15+ years of experience in software engineering, distributed systems, or cloud platforms

5+ years in technical leadership or management roles

Proven experience building large‑scale platform management or infrastructure systems

Strong background in distributed systems architecture and cloud‑native technologies

Experience with APIs, microservices, and infrastructure‑as‑code (IaC)

Familiarity with AI/ML concepts applied to operational analytics or automation Experience managing teams delivering production‑grade, enterprise‑scale systems

Experience in storage systems, data platforms, or high‑performance computing

Background in building AI‑driven operations or AIOps platforms

Experience with hybrid cloud and OnPrem deployments

Knowledge of security, compliance, and enterprise governance requirements

Familiarity with DevOps, SRE practices, and CI/CD pipelines

Success Metrics:

Delivery of a unified management platform at scale

Reduction in incident response and resolution times through automation

Increased system uptime and reliability (zero or near‑zero disruption)

Adoption of self‑service and automated operational workflows by customers

High customer satisfaction and operational efficiency across deployments

We pride ourselves on our commitment to delivering tangible and consistent results.

Regional Director of Sales, Middle East and Africa

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