Principal Engineer â Data & Infrastructure
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About Exotel
Exotel is one of Asias largest and most trusted customer engagement platforms. From voice to SMS WhatsApp to AI-led contact centre intelligence we help businesses deliver seamless secure and scalable conversations with their customers. As we grow our focus remains on customer centricity operational excellence and smart automation to power the next generation of experiences.
Platform Engineering @ Exotel
The Platform Engineering group is responsible for the distributed systems and data infrastructure that power Exotels products. The teams work directly impacts reliability scalability security and performance across the entire Exotel stack. We abstract complex distributed systems and data management challenges to enable faster innovation stronger reliability and better business productivity.
Role Overview
As a Principal Engineer Data & Infrastructure you will be a technical leader driving the architecture design and implementation of high-scale high-reliability distributed data systems. You will partner closely with product and engineering leaders to define the technical roadmap guide engineering best practices and mentor senior engineers. This is a hands-on leadership role requiring deep technical expertise and the ability to influence and align teams toward long-term strategic goals.
Key Responsibilities
- Own the architecture and delivery of data infrastructure projects: data pipelines data analytics platforms reporting frameworks distributed databases and messaging systems.
- Evaluate adopt and integrate emerging big data and distributed computing technologies to improve scalability reliability and performance.
- Collaborate with cross-functional teams on data modelling architecture and governance strategies.
- Provide technical leadership for design reviews architecture discussions and system optimisations.
- Mentor senior engineers and contribute to building a strong engineering culture.
- Drive operational excellence by implementing monitoring alerting and SLA adherence.
- Lead initiatives to optimise infrastructure costs improve automation and enhance deployment workflows.
- Be hands-on in solving complex engineering challenges related to distributed systems and low-latency data access.
What Were Looking For
Must-haves
- 711 years of experience in software engineering with at least 3 years in a technical leadership role.
- Proven experience building and scaling data platforms (data pipelines data APIs reporting frameworks and connectors).
- Strong experience with distributed databases (MySQL Aerospike Elasticsearch Redis etc.) and messaging systems.
- Expertise in Java Go or equivalent systems programming languages.
- Experience with Kubernetes EKS
- Familiarity with few of the technologies like Prometheus Grafana ELK Jenkins VPN Kafka etc.
- Experience leading engineering teams through architecture definition execution and delivery.
- A DevOps mindset - own what you build from design to production operations
- Strong Computer Science fundamentals: algorithms data structures distributed systems design.
Good-to-haves
- Hands-on experience with cloud platforms (AWS GCP Azure) and IaC tools (Ansible Chef Puppet Terraform).
- Familiarity with AI/ML data pipelines.
- Experience operating production-scale distributed systems.
- Exposure to serverless orchestration engines or advanced big data frameworks.
Required Experience:
Staff IC
Key Skills
- Jenkins
- Ruby
- Python
- Active Directory
- Cloud
- PowerShell
- Windows
- AWS
- Linux
- SAN
- Java
- Troubleshoot
- Backup
- Puppet
- hardware
