Head - Java ,Cloud,Platform Analytics

Weekday AI (YC W21)

Delhi

On-site

INR 4,000,000 - 6,000,000

Full time

14 days+

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Job summary

A technology solutions company in India is looking for a senior technology leader to define and execute strategies for enterprise analytics and cloud-based solutions. The ideal candidate will have 12-15 years in software development, with significant leadership experience, emphasizing cloud architectures and analytics platforms. This role demands a hands-on leader adept in managing teams and ensuring the reliability and scalability of complex systems, alongside proficiency in Java, Python, and SQL.

Qualifications

  • 12-15 years of experience in enterprise software or analytics platform development, with 8+ years in leadership roles.
  • Strong expertise in cloud architecture (AWS, Azure, or GCP) and distributed systems.
  • Hands-on experience with microservices, data pipelines, and large-scale analytics platforms.

Responsibilities

  • Define and execute the technology and platform strategy for enterprise analytics and cloud-based software solutions.
  • Architect and scale a robust, secure, and high-performance analytics platform using cloud-native and microservices architectures.
  • Lead development of data pipelines, telemetry ingestion, real-time analytics, and reporting frameworks.

Skills

Java
Cloud Architecture
Platform Analytics
Enterprise Software
Mobile Robotics & Fleet Management
API Integrations
Python
SQL
Data Visualization
Distributed Systems

Education

B.Tech / M.Tech / MBA in Computer Science, Data Engineering, or a related technical discipline

Job description

Base Pay Range

Salary range: Rs 4,000,000 – Rs 6,000,000 (INR 40‑60 LPA)

Minimum Experience: 7 years

Location: Gurgaon

Job Type: Full‑time

Responsibilities
  • Define and execute the technology and platform strategy for enterprise analytics and cloud‑based software solutions.
  • Architect and scale a robust, secure, and high‑performance analytics platform using cloud‑native and microservices architectures.
  • Lead development of data pipelines, telemetry ingestion, real‑time analytics, and reporting frameworks.
  • Enable seamless integration with mobile robotics systems through APIs and enterprise‑grade interfaces.
  • Drive platform commercialization by aligning technical capabilities with customer needs and business outcomes.
  • Manage and mentor cross‑functional engineering teams, ensuring high delivery standards and timely execution.
  • Collaborate closely with product, data science, and business teams to prioritize features and roadmap initiatives.
  • Ensure platform reliability, scalability, and performance across large‑scale deployments.
  • Establish best practices for architecture, security, observability, and DevOps.
Requirements
  • 12‑15 years of experience in enterprise software or analytics platform development, with 8+ years in leadership roles.
  • Strong expertise in cloud architecture (AWS, Azure, or GCP) and distributed systems.
  • Hands‑on experience with microservices, data pipelines, and large‑scale analytics platforms.
  • Proficiency in Java, Python, SQL, and data visualization tools such as Grafana, Power BI, or equivalent.
  • Proven track record of building, launching, and scaling SaaS or enterprise analytics platforms.
  • Experience working with IoT or telemetry data and real‑time monitoring systems.
  • Knowledge of mobile robotics platforms, fleet management systems, and API‑based integrations is a strong advantage.
  • Demonstrated ability to lead high‑performing engineering teams and deliver complex programs under tight timelines.
  • Strong commercial and product‑oriented mindset to translate technology into measurable business value.
Educational Qualifications
  • B.Tech / M.Tech / MBA in Computer Science, Data Engineering, or a related technical discipline.
Key Skills
  • Java
  • Cloud Architecture
  • Platform Analytics
  • Enterprise Software, Mobile Robotics & Fleet Management
  • API Integrations, Python
  • SQL
  • Data Visualization
  • Distributed Systems
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