Helo.ai by VivaConnect
Website:
helo.ai
Company:
https://www.linkedin.com/company/sayheloai
Industries: IT Services and IT Consulting
Job details:
🚀 Join Our Team as a Senior Data / Software Engineer at
Helo.ai by VivaConnect
📍 Location: Mumbai, India
📅 Working Days: Monday to Friday
🏢 Work Mode: Work from Office
📈 Experience: 7+ Years
🌐 About Helo.ai
At Helo.ai by VivaConnect, we enable businesses to connect with their customers through powerful
engagement channels.
• SMS, WhatsApp, RCS, Voice, and Contact Centre solutions
• 25+ years of industry expertise
• 30+ billion engagements handled annually
• Partnerships with Meta, Google, and leading telecom operators
We power communication infrastructure for businesses that require scale, reliability, and seamless
customer engagement.
🌟 Why Build Your Career With Us
• Design and build enterprise-scale data platforms powering billions of customer interactions
• Own architecture decisions for a mature and profitable CPaaS platform
• Work with modern data engineering technologies and distributed systems
• Collaborate with Product, DevOps, Engineering, and Analytics teams
• Contribute directly to product innovation, platform scalability, and business growth
🌍 Discover More About Helo.ai
• Website: https://helo.ai/
• LinkedIn: https://www.linkedin.com/company/sayheloai/posts/?feedView=all
• Instagram: lifeathelo.ai
💼 The Role You’ll Play
As a Senior Data / Software Engineer, you will lead the design, development, and operation of Helo.ai's
data platform and core backend services. You will build scalable data pipelines, optimize real-time
processing, and develop reliable systems that support enterprise communication products and analytics.
In addition to the responsibilities listed below, you should be open to taking up related initiatives that
improve platform scalability, engineering efficiency, system reliability, and overall data quality.
🧩 What You’ll Be Driving
🔹 Data Platform Engineering
• Design, develop, and maintain production-grade data pipelines for messaging events, billing, delivery
logs, and campaign analytics
• Ensure scalable, reliable, and efficient data processing across platforms
• Maintain data quality, schema governance, lineage, and storage optimization
🔹 Data Processing & Orchestration
• Manage workflow orchestration using Apache Airflow
• Design and maintain Airflow DAGs, scheduling, monitoring, and recovery processes
• Develop and optimize Apache Spark (PySpark) workloads for batch and near real-time processing
• Manage high-volume event streaming using Apache Kafka
🔹 Backend Development
• Lead Python development standards and shared engineering libraries
• Maintain and enhance Java-based microservices supporting messaging platforms
• Improve application performance, reliability, and maintainability
🔹 Analytics & Platform Optimization
• Build analytics and reporting solutions for internal teams and enterprise customers
• Optimize data models and reporting performance
• Support cost optimization across data lakes and warehouse environments
🔹 Platform Monitoring & Reliability
• Implement monitoring, alerting, and observability for data platform health
• Troubleshoot production issues and optimize system performance
• Ensure platform stability and compliance with enterprise SLAs
🔹 Engineering Collaboration & Mentorship
• Mentor data engineers and software developers
• Collaborate with Product, DevOps, Analytics, and Engineering teams
• Participate in architecture discussions, code reviews, and technical planning
🧠 Knowledge & Expertise We Value
Technical Capability
• Expert-level proficiency in Python with strong working knowledge of Java
• Hands-on experience with Apache Spark (PySpark), Apache Airflow, and Apache Kafka
• Strong understanding of distributed systems, stream processing, and event-driven architecture
• Experience with SQL databases (PostgreSQL, MySQL), NoSQL databases (MongoDB, Redis), and
cloud object storage (S3/GCS)
• Proficiency with Docker, Kubernetes, Linux environments, and CI/CD pipelines
• Strong debugging, performance tuning, and data modeling skills
Preferred Expertise
• Experience with CPaaS, telecom, or high-volume messaging platforms
• Familiarity with Delta Lake, Apache Iceberg, Hudi, and dbt
• Experience with AWS (EMR, Glue, Athena) or GCP (Dataproc, BigQuery, Pub/Sub)
• Knowledge of monitoring tools such as Prometheus, Grafana, and ELK Stack
• Understanding of enterprise SLAs, data privacy, and compliance standards
Professional Strengths
• Strong analytical and problem-solving skills
• Architecture and systems thinking mindset
• Effective cross-functional collaboration and stakeholder communication
• Mentorship and technical leadership capabilities
• Ability to manage large-scale production systems with high reliability
🎓 Education & Experience
• B.E., B.Tech., MCA, or equivalent qualification in Computer Science, Engineering, or a related field
• 7+ years of experience in Data Engineering, Backend Engineering, or Software Engineering with a
strong data engineering focus
• Demonstrated experience owning end-to-end production data platforms and distributed systems
📊 Indicators of Success
• Reliable and scalable data pipelines supporting enterprise-grade workloads
• High platform availability with optimized performance and observability
• Efficient real-time and batch data processing across distributed systems
• Strong engineering collaboration resulting in high-quality, maintainable solutions
📈 Performance & Growth
The role follows defined KPIs and KRAs to ensure clarity in responsibilities, support performance
tracking, and recognize contributions toward platform scalability, engineering excellence, and business
impact.
🌍 Equal Opportunity Employer
At Helo.ai, we celebrate diversity and are committed to building an inclusive and collaborative
environment for all employees.
Click on Apply to know more.