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This range is provided by Weekday AI (YC W21). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range
This role is for one of the Weekday's clients
ośćSalary range: Rs 4,000,000 – Rs 6,000,000 (INR 40‑60 LPA)
Min Experience: 7 years
Location: Gurgaon
Job Type: full-time
Key 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.
Required Skills & Experience
- 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.
Seniority Level
Mid‑Senior level
Employment Type
Full-time
Job Function
Other
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