Location: Dadar (West), Mumbai
Department: Platform Engineering & Operations
Reporting To: CTO
Employment Type: Full-Time
Work Model: Onsite | 24×7 Platform Operations (Roster Based)
Avhan Technologies is an enterprise software product company with more than 25 years of innovation in real-time communications, cloud platforms, and enterprise software.
We are building Jodo World, a new generation AI-native Communication & Business Execution Platform that enables enterprises to execute business processes through intelligent conversations across Voice, Video, Chat, WhatsApp, Email, Social Media, WebRTC and enterprise applications.
Our platform combines AI, automation, real-time communications and cloud-native technologies to help organizations transform customer engagement and business execution.
Our engineering roadmap includes:
- AI-native platform engineering
- Agentic AI for engineering and business workflows
- Cloud-native modernization
- Multi-cloud deployment automation
- CI/CD transformation
- Self-healing platform operations
- Intelligent observability
- AI-assisted troubleshooting
- Autonomous release management
- Enterprise-scale SaaS architecture
As a lean, technology-driven product company, every engineer has the opportunity to own meaningful parts of the platform and directly influence our product roadmap.
We are looking for a hands-on Platform Engineering Lead who enjoys solving complex technical problems, improving platform reliability, automating operations, and enabling engineering teams to deliver software faster and more reliably.
This role combines Platform Engineering, Production Operations, Release Engineering, Observability and Customer Platform Engineering.
You will work directly with the CTO and engineering leadership to build highly reliable, automated, AI-assisted production environments while supporting enterprise customers across Public Cloud, Private Cloud and Hybrid deployments.
- Maintain high availability and performance of production platforms.
- Monitor platform health across applications, infrastructure and databases.
- Improve scalability, resilience and operational excellence.
- Drive uptime and platform reliability initiatives.
- Execute application releases and production deployments.
- Manage change requests, rollback procedures and release validation.
- Improve deployment automation and release quality.
- Work closely with Engineering and QA on release readiness.
- Lead resolution of P1 and customer-critical incidents.
- Perform Root Cause Analysis (RCA).
- Implement preventive improvements.
- Reduce Mean Time To Detect (MTTD) and Mean Time To Resolve (MTTR).
- Build dashboards, alerts and monitoring.
- Improve logging and operational visibility.
- Enhance metrics, traces and diagnostics.
- Identify performance bottlenecks before customers are affected.
- Automate repetitive operational tasks.
- Build operational scripts and workflows.
- Contribute to AI-assisted operational automation.
- Support self-healing and auto-remediation initiatives.
- Support enterprise production environments.
- Perform deployments, migrations and upgrades.
- Work directly with enterprise customers during critical incidents.
- Ensure SLA compliance and customer satisfaction.
- Work closely with Product, Engineering, QA, AI Engineering and DevOps.
- Improve operational processes.
- Maintain runbooks and knowledge base.
- Mentor Platform Engineers and Support Engineers.
- AWS
- Private Cloud
- Hybrid Cloud
- Multi-cloud deployment
- Apache Tomcat
- Apache HTTP Server
- Nginx
- MariaDB
- MySQL
- SQL Performance Tuning
- TCP/IP
- DNS
- VPN
- Firewalls
- Load Balancers
- Reverse Proxy
- SSL/TLS
- Grafana
- Prometheus
- Loki
- Nagios
- OpenTelemetry (Good to Have)
- Dynatrace (Good to Have)
- Jenkins
- Git
- Shell Scripting
- Bash
- Python
- Infrastructure Automation
- Deployment Automation
- AI-assisted troubleshooting
- AI copilots
- Prompt Engineering
- Operational AI
- LLM-assisted engineering
- AI workflow automation
- Agentic AI concepts (Good to Have)
- 3–6 years in Platform Engineering, Production Engineering, DevOps, Cloud Operations or Application Support.
- Experience supporting enterprise SaaS or communication platforms.
- Experience managing production incidents.
- Experience with enterprise customers.
- Exposure to cloud deployments.
- Experience working in cross-functional engineering teams.
Within your first year you will help us:
- Improve platform reliability.
- Increase deployment automation.
- Strengthen CI/CD pipelines.
- Improve observability.
- Reduce production incidents.
- Reduce deployment time.
- Build automated operational workflows.
- Improve customer platform experience.
- Contribute to AI-assisted engineering initiatives.
You enjoy:
- Solving difficult technical problems.
- Learning new technologies.
- Automating repetitive work.
- Working directly with customers.
- Owning production systems.
- Building reliable software platforms.
- Working in a fast-moving product company.
- Taking responsibility beyond your job title.
Unlike large organizations where engineers work on small parts of a product, you’ll gain end-to-end ownership across architecture, cloud, production, AI, automation and customer deployments.
You will have the opportunity to:
- Work directly with the CTO.
- Build an AI-native enterprise platform.
- Learn modern cloud technologies.
- Contribute to CI/CD transformation.
- Build intelligent operational automation.
- Work on Agentic AI initiatives.
- Build self-healing operational capabilities.
- Work across Public Cloud, Private Cloud and Hybrid deployments.
- Influence product architecture.
- Grow into Platform Engineering leadership.
- AWS
- Linux
- Docker
- Kubernetes (Preferred)
- ITIL Foundation
- Networking Certifications
(Certifications are desirable but not mandatory.)
