Job Description

- Responsible for driving Technology valuable practices in Engineering in their respective teams.
- Partner with the Product team to translate vague business requirements into concrete, feasible technical roadmaps.
- Actively participate in development along with team members for as much as 60% of their time, creating modules systems that can then be treated as a working reflection of the best practices.
- Cross-System Integration ensuring data flow seamlessly consistently across ingestion, processing and data deliveries to end customers.
- Work closely with Data Science, DevOps, and Frontend architects to ensure our backend infrastructure supports emerging needs.
- Being responsible for Scaling, Performance Quality.
- Experiment with new relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create.
- Implementation of long-term technology vision for your teams.
- Creating architectures designs for new solutions around existing and new problem spaces.
- Responsible for the architecture of your platform; ensuring it is aligned to the long term requirements and the platform vision.
- Drive technology tool choices for your team be responsible for them.
- Drive technology forums rhythms in the team to drive best practices. Establish organization-wide engineering standards (coding guidelines, API contracts, security protocols, design standards) to ensure consistency across different teams.
- Mentor and guide Senior engineers, fostering a culture of learning and collaboration within the team.
- Going beyond your role and contributing to make the organization business better. Qualifications

Experience Education

- Bachelor s degree in Computer Science,



Engineering, or a related field.
- 15+ years of professional experience in software engineering, with a proven track record of designing, developing, and scaling complex, enterprise-grade applications from scratch.

Core Backend Architecture

- Backend Expertise: Advanced proficiency in Java, Scala, or Python ecosystems optimized for high-throughput, low-latency workloads (Familiarity with languages like Rust, Golang for performance critical components services is a strong plus).
- Distributed Systems: Deep expertise in microservices architecture, RESTful API design, Domain-Driven Design (DDD), and building highly available, fault-tolerant, resilient systems.
- Event-Driven Design: In-depth knowledge of asynchronous communication, messaging queues, and event-driven architectures.
- Full-Stack Awareness: Familiarity with front-end technologies (e.g., HTML, CSS, JavaScript) is preferred.

Data Engineering

- Data Architecture: Strong command of distributed data architectures, data engineering constructs, and building scalable data pipelines, including expertise in both real-time streaming and batch processing paradigms (e.g., Lambda or Kappa architectures).
- Datastores: Deep understanding of designing, scaling, and optimizing a variety of datastores across both SQL and NoSQL.
- AI/ML Foundations:



Working knowledge of machine learning and data science concepts to effectively integrate ML models and data workflows.

Cloud, Infra DevOps

- Cloud Platforms: Extensive hands-on experience designing for cloud environments (primarily AWS), leveraging cloud-native platform constructs, and driving cost-efficient architecture (FinOps).
- Containerization: Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Observability Reliability: Deep understanding of system observability, distributed tracing, telemetry, and establishing robust monitoring for large-scale production systems.
- Engineering Excellence: Strong knowledge of CI/CD tools and practices. Proven experience with Test-Driven Development (TDD) and automated testing frameworks to ensure system reliability.

Leadership Execution

- Process Champion: Standard-bearer for modern SDLC practices, understanding of software development methodologies (Agile, Scrum, etc.), and infrastructure management.
- Autonomy Problem Solving: Exceptional problem-solving skills with the ability to navigate architectural ambiguity, work highly independently, and elevate a team environment.
- Communication: Excellent communication and interpersonal skills to mentor senior engineers, collaborate with cross-functional stakeholders, and drive technical alignment.

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📌 Principal Member Technical Staff (Mumbai)
🏢 Nielsen Sports
📍 Mumbai