Senior Asterisk Developer/Telephony Engineer at Fonada · Noida · 10 - 20 years · ₹20L - ₹35L / yr · Profitable · Posted 29 Apr 2026

Role Overview
We are looking for a hands-on Senior Telephony Engineer who actively writes production-grade code and has deep experience with Asterisk-based systems, Java backend development, and high-scale dialler platforms.
Key Responsibilities
This is NOT an architecture-only role we need someone who can:
- Write code
- Debug real-time call issues
- Build and optimize telephony flows end-to-end
- Key Responsibilities (Hands-on Coding Focus)
- Develop and maintain Asterisk dialplans, AGI scripts, and call flows
- Build Java-based backend services for telephony control and orchestration
- Implement and optimize predictive / preview / progressive diallers
- Integrate telephony stack with:
Kafka
RabbitMQ
- Write scalable code for call routing, retry logic, and queue handling
- Work directly on SIP signalling, RTP flows, and debugging call issues
- Handle real-time call events, CDR processing, and logging pipelines
- Optimize systems for high concurrency (thousands of parallel calls)
- Debug production issues like:
Call drops
Latency
One-way audio
SIP failures
Qualifications & Skills
- Bachelors degree in Computer Engineering; Masters is a plus.
- Telephony (Core Requirement)
- Strong hands-on experience with Asterisk
- Deep knowledge of:
SIP / RTP / VoIP
Dialplans
AGI / AMI
- Experience building or maintaining dialers (very important)
- Backend Development
- Strong coding skills in Java (Spring Boot preferred)
- Experience building microservices / APIs
- Comfortable writing high-performance, low-latency code
- Messaging & Event Systems
- Hands-on experience with:
Apache Kafka
RabbitMQ
- Ability to implement event-driven systems
- Scaling & Performance
- Experience handling high call volumes (1000+ concurrent calls)
Understanding of:
- Multi-threading
- Queue management
- Load handling
- Good to Have
- Experience with predictive dialers
- Exposure to WebRTC / real-time communication
- Experience with Docker / Kubernetes
- Understanding of TRAI / Indian telecom ecosystem
- Experience with FreeSWITCH (bonus)
What We Are NOT Looking For
- Pure solution architects who dont code
- People with only theoretical telecom knowledge
- Candidates without real dialer / Asterisk production experience
What We Are Looking For
Someone who has:
- Written real dialplans and backend code
- Debugged live call issues
- Worked on production telephony systems
- A problem solver who can go deep into logs, packets, and code
Impact of the Role
You will directly contribute to building a high-scale telephony + AI voice platform, working on real-time systems that handle thousands of concurrent calls.

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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Procedure is hiring for WorkHero.
WorkHero is building the AI-powered back office for the skilled trades, starting with the $50B+ HVAC industry. Small contractors are great at their trade but lose 20+ hours a week to invoicing, permits, scheduling, and paperwork. WorkHero combines expert office managers with automation and AI tooling, enabling a small team to take real ownership of that back-office work
We’re hiring a senior engineer to own our real-time voice stack end to end—AI agents operating on live phone calls—and the data platform that turns those calls into insight: call → transcript → events → warehouse → dashboards. You’ll own meaningful systems end to end alongside a small, senior team with deep experience in AI, product, and the trades.
What you’ll build
- New product screens and flows (jobs, customers, invoices, scheduling) in React and React Native, especially AI chat UI (chat & tool result rendering, streaming responses, human review and feedback loops)
- AI workflows in production: tool-using agents, RAG/search, classification/extraction, and human-in-the-loop flows
- Automations: Contribute new features and improvements to our AI-powered business automation platform
In addition, you’ll own our first investments into a realtime voice stack and the call-data platform behind it. For example:
- Realtime voice agents on live phone calls: telephony/WebRTC integration, streaming speech-to-text and text-to-speech, turn-taking, interruption handling, and latency optimization
- Voice pipeline reliability: backpressure, failover, graceful degradation, and monitoring for live calls
- Call-data pipeline: transcripts, events, and structured extraction flowing from every call into the warehouse
- Analytics & dashboards: data modeling and conversation-intelligence features on top of call data
- Evals & monitoring for voice agents: quality metrics, drift detection, and cost/latency tracking
- Cloud infrastructure: scaling our platform with infrastructure as code, queues and orchestration, and CI/CD
Responsibilities
- Analyze requirements and propose innovative AI-native solutions to technical problems
- Write clean scalable code
- Own the voice and data stack end-to-end: design, build, test, deploy, and operate
- Optimize the performance, latency, and cost of our real-time AI systems
- Respond to critical system issues and ensure continuous system reliability
- Mentor team members and collaborate across teams, especially with product and subject matter experts
- Work to understand the needs of our users and think creatively about how to solve design challenges in your work
- This is a Remote role. We expect a minimum 4 hours overlap with the WorkHero team (11 AM - 3 PM ET).
Qualifications
- Senior-level backend experience (typically 5+ years) shipping production systems that you've owned
- Hands-on experience with realtime voice or streaming systems: telephony (SIP/Twilio), WebRTC, streaming STT/TTS, or frameworks like LiveKit or Pipecat — or comparable experience with demanding realtime/streaming infrastructure
- Data engineering fundamentals: event pipelines, data modeling, warehousing, and analytics on production data
- Strong proficiency in a typed backend language (TypeScript preferred; comparable experience welcome)
- Hands-on experience with LLM-powered features (usage, prompting, optimization, etc) and AI architectures
- The ability to work with infrastructure as code (terraform), cloud, and CI/CD systems at scale. We're a small team, so we own the whole stack!
- Excitement to leverage AI coding tools to their maximum benefit. We love Claude Code and Cursor and are constantly looking for better ways to leverage our time to build fast and build for scale.
Nice to have
- experience with voice-AI platforms (Vapi, Retell, Bland, Deepgram, LiveKit) or conversation-intelligence products (e.g. Gong-style analytics)
- experience scaling cloud infrastructure, especially AWS, and how to get the most out of key AWS services
- experience with workflow automation tools like n8n or Lindy
- experience with React for building internal dashboards
- experience with HVAC or back-office business workflows
WorkHero is committed to building a diverse team. We encourage candidates from all backgrounds to apply.
Looking for strong experience in Java, Spring Boot, Spring Cloud, Microservices, System Design, Kafka, Redis, Cloud, Docker & Kubernetes.
FinTech / Banking experience will be an added advantage.
We’re building a powerful, AI-driven communication platform — a next-generation alternative to RingCentral or 8x8 — powered by OpenAI, LangChain, and SIP/WebRTC. We're looking for a Full-Stack Software Developer who’s passionate about building real-time, AI-enabled voice infrastructure and who’s excited to work in a fast-moving, founder-led environment.
This is an opportunity to build from scratch, take ownership of core systems, and innovate on the edge of VoIP + AI.
What You’ll Do
- Design and build AI-driven voice and messaging features (e.g. smart IVRs, call transcription, virtual agents)
- Develop backend services using Python, Node.js, or Golang
- Integrate OpenAI, Whisper, and LangChain with real-time VoIP systems like Twilio, SIP, or WebRTC
- Create scalable APIs, handle call logic, and build AI pipelines
- Collaborate with the founder and early team on product strategy and infrastructure
- Participate in occasional in-person strategy meetings (Delhi, Bangalore, or nearby)
Must-Have Skills
- Strong programming experience in Python, Node.js, or Go
- Hands-on experience with VoIP/SIP, WebRTC, or tools like Twilio, Asterisk, Plivo
- Experience integrating with LLM APIs, OpenAI, or speech-to-text models
- Solid understanding of backend design, Docker, Redis, PostgreSQL
- Ability to work independently and deliver production-grade code
Nice to Have
- Familiarity with LangChain or agent-based AI systems
- Knowledge of call routing logic, STUN/TURN, or media servers (e.g. FreeSWITCH)
- Interest in building scalable cloud-first SaaS products
Work Setup
- 🏠 Remote work
- 🕐 Full-time role
- 💼 Direct collaboration with founder (technical)
- 🧘♂️ Flexible hours, strong ownership culture
Java Developer Hiring Post
🚨 Hiring: Java Developer | Kafka | Copilot
🔹 Experience: 5+ Years
🔹 Skills: Java, Kafka, GitHub Copilot
🔹 Location: Hyderabad / Bangalore
🔹 Work Mode: Hybrid
🔹 Interview: F2F / Virtual
🔹 Notice Period: Immediate Joiners Preferred
📩 Interested candidates can share their updated resume.
#Hiring #JavaDeveloper #JavaJobs #Kafka #Copilot #HyderabadJobs #BangaloreJobs #ImmediateJoiners #ITJobs

We are looking for a hands-on Voice AI Engineer to own the technical delivery of an enterprise voice automation program for an industrial equipment and services business.
You will take the solution from discovery and architecture through agent development, integrations, testing, deployment and ongoing optimisation. The initial focus is inbound calls across service, parts and rental, with approximately 300 calls per day.
This role suits someone who can turn a working demonstration into a reliable production service and work directly with customer teams to make it effective.
What you will build
A connected Voice AI solution that answers calls on existing business numbers, identifies customers and equipment, understands requests and routes conversations to the appropriate workflow.
The solution will capture structured call records, integrate with existing CRM and service-management systems, and transfer urgent or complex calls to people. Customer and equipment information will come from a database refreshed through scheduled data synchronisation.
Your responsibilities
- Own technical delivery: Translate business requirements into architecture, implementation plans, integration specifications and acceptance criteria.
- Build voice agents: Develop reception and specialist agents for service, parts and rental, with shared context and reliable hand-offs.
- Improve conversation quality: Configure speech recognition, voice generation and language models. Optimise latency, interruptions, turn-taking, pronunciation and handling of background noise.
- Implement telephony: Configure inbound routing, existing-number connectivity, concurrent calls, live transfers, after-hours handling and fallback routes.
- Connect business systems: Build APIs, webhooks and middleware for CRM, service queues and customer databases. Implement scheduled synchronisation, retries and duplicate prevention.
- Capture usable records: Generate accurate summaries and structured fields covering customer details, equipment, reason for calling, urgency, outcomes and relevant sales interest.
- Build safeguards: Implement call-duration and monthly-usage caps, alerts, escalation rules and checks that requests have been successfully logged.
- Test and launch: Develop realistic test scenarios, run integration and load testing, support customer acceptance testing and manage production deployment.
- Operate and improve: Monitor call quality, integration failures, latency and cost per minute. Investigate incidents and refine agent behaviour using transcripts and customer feedback.
- Document the solution: Maintain architecture diagrams, configuration records, deployment procedures and operational runbooks.
What we are looking for
- Strong development skills in Python and/or JavaScript/TypeScript.
- Experience shipping at least one Voice AI or conversational AI solution into production.
- Hands-on understanding of speech-to-text, text-to-speech, language models and tool/function calling.
- Experience with telephony APIs, SIP, call routing and human transfers.
- Strong API integration skills, including authentication, webhooks and asynchronous processing.
- Working knowledge of SQL databases, data synchronisation and cloud deployment.
- Experience with logging, monitoring, error handling and production troubleshooting.
- Ability to implement secure access, protect personal information and manage recordings and transcripts appropriately.
- Confidence working directly with customers, explaining technical trade-offs and taking ownership of delivery.
Useful additional experience
- Multi-agent orchestration and context management.
- Integration with enterprise CRM, workflow or document-management platforms.
- Retrieval-based knowledge systems and structured information extraction.
- Contact-centre, field-service, equipment rental or industrial service workflows.
- Automated conversation testing and evaluation.
What success looks like
- A stable deployment that meets agreed call-handling and integration targets.
- Clear, natural conversations with appropriate escalation to people.
- Accurate service requests and sales leads reaching the correct systems.
- Reliable controls over usage, cost and failure handling.
- Measurable improvements following testing and customer feedback.
Why join
You will own a live enterprise implementation from the first technical discussion through production operations. You will have direct access to decision-makers and the opportunity to build reusable components for future Voice AI deployments.
How to apply
Share your CV and a brief description of a Voice AI solution you have built. Explain your personal contribution, the integrations involved and one production challenge you solved.
Location: Pune/Bengaluru
As a Senior Software Engineer, you will tackle a highly challenging role within our Cyber Security Engineering integration development team. You will be responsible for the End-to-End (E2E) delivery of projects from gathering customer requirements to deploying high-performance data exchange solutions on-prem or in the cloud. We are looking for a Systems-Level Thinker who can seamlessly transition between building complex integrations and architecting high-throughput, low-latency backends. Because each integration may require a different technical approach, we value engineers who love reskilling, following agile best practices, and maintaining an evolving mindset.
Core Responsibilities
Technical Leadership and Architecture
● Systems Engineering: Design, build, and optimize high-throughput, low-latency backend systems and data-exchange layers.
● Architecture and Integration: Participate in planning, defining, and exploring solution alternatives. Architect and estimate deep technical custom solutions and integrations across diverse enterprise tech stacks. ● Stream Processing: Implement event-driven architectures, manage backpressure, and handle real-time state management across security platforms.
● Delivery Ownership: Own projects end-to-end, defining and implementing enablers to evolve solution intent directly alongside our Agile teams.
Team Leadership and Quality
● Mentorship: Actively lead, coach, and mentor junior developers, providing technical guidance to foster professional development.
● Engineering Excellence: Oversee code reviews, build robust CI/CD pipelines, enforce strict quality checks, and ensure rigorous adherence to coding standards.
● Agile Execution: Actively participate in Agile development, including writing, breaking down, and estimating User Stories.
Customer and Stakeholder Collaboration
● Customer Delight: Maintain a strong customer-first attitude while designing, building, and deploying products.
● Technical Communication: Articulate complex technical trade-offs clearly to both business stakeholders and engineering teams.
● Pipeline Management: Manage customer relationships effectively to ensure a continuous flow of project scope, maintaining clear team backlogs.
Job Requirements
● Experience: 5+ years of proven software engineering experience, with a track record of leading small engineering teams or mentoring junior devs.
● High-Throughput Backend Focus: 5+ years of experience engineering robust, real-time backends specifically using Go (Golang) or Java.
● Polyglot and Integration Capability: Deep expertise in at least one or two additional languages/frameworks from our ecosystem: Python, TypeScript, Node.js, React.js, Angular, C#, or C++.
● Computer Science Fundamentals: Excellent knowledge of complex Data Structures, algorithms, and their correct situational usage.
● Adaptability: A passionate programmer who is genuinely open and excited to learn new software development skills as required by changing project demands.
Bonus / Added Advantages
● AI & Intelligent Automation: Hands-on knowledge of AI concepts, Large Language Models (LLMs), and experience building or integrating AI agents to automate complex workflows or security processes.
● Cybersecurity Domain: Experience in the cybersecurity space (SIEM, SOAR, or platform security).
● Modern Web Tech: Strong experience in developing software using modern web technologies.
● E2E Lifecycle: Proven background handling a project completely from discovery to cloud/on-prem deployment.
● Open Source: Active contributions to the Open Source community. (Please share your GitHub/GitLab links in your application!)
We’re seeking a highly skilled, execution-focused Senior Backend Engineer with a minimum of 5 years of experience to join our team. This role demands hands-on expertise in building and scaling distributed systems, strong proficiency in Java, and deep knowledge of cloud-native infrastructure. You will be expected to design robust backend services, optimize performance across storage and caching layers, and enable seamless integrations using modern messaging and CI/CD pipelines.
You’ll be working in a high-scale, high-impact environment where reliability, speed, and efficiency are paramount. If you enjoy solving complex engineering challenges and have a passion for distributed systems, this is the right role for you.
Responsibilities—
- Design, develop, and maintain distributed backend systems at scale.
- Write high-performance, production-grade code in Java.
- Architect and optimize storage systems, ensuring efficient query performance and scalable data models.
- Implement caching strategies to reduce latency and improve system throughput.
- Build and manage services leveraging AWS cloud infrastructure.
- Develop resilient messaging pipelines using Kafka (or equivalent) for real-time data processing.
- Define and streamline CI/CD pipelines, ensuring rapid and reliable deployment cycles.
- Collaborate with product managers, frontend engineers, and DevOps to deliver end-to-end solutions.
- Monitor system performance, identify bottlenecks, and apply proactive fixes.
- Drive best practices in software engineering, testing, and code reviews.
Requirements—
- 5+ years of experience in backend engineering, with deep hands-on coding experience.
- Strong proficiency in Java and familiarity with modern frameworks.
- Proven track record in building scalable distributed systems.
- Hands-on expertise with AWS services (e.g., EC2, S3, Lambda, DynamoDB, RDS).
- Solid understanding of messaging systems like Kafka, RabbitMQ, or similar.
- Strong grasp of query performance optimization and storage system design.
- Experience with caching solutions (Redis, Memcached, etc.).
- Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.).
- Excellent problem-solving skills and ability to thrive in fast-paced environments.
- Strong communication and collaboration skills, with a proactive mindset.
Benefits—
- Best in class salary: We hire only the best, and we pay accordingly.
- Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
- Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.
About us—
Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.
Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job Title: Software Engineer / Senior Software Engineer – Java Backend
Experience: 5–10 Years
Location: Pune (Baner) – Work from Office (5 Days a Week)
About the Role :
We are looking for passionate Java Backend Engineers to build highly scalable, high-performance enterprise applications used by millions of users globally. The ideal candidate should have strong experience in Java, Microservices, Payment Gateway integrations, and Checkout platform development, with a product engineering mindset.
Candidates from FinTech, E-commerce, Payments, or Product-based companies will be preferred.
Key Responsibilities :
Design, develop, and maintain scalable backend applications using Java and Microservices.
Build secure, high-performance REST APIs and distributed services.
Develop and enhance Checkout platforms and Payment Gateway integrations for seamless payment processing.
Collaborate with Product, Architecture, QA, and DevOps teams throughout the SDLC.
Participate in system design, architecture discussions, and technical decision-making.
Ensure high code quality through unit testing, code reviews, and engineering best practices.
Build and support CI/CD pipelines and containerized deployments.
Troubleshoot production issues, optimize performance, and improve application reliability.
Mentor junior engineers and contribute to engineering excellence.
Required Skills :
5–10 years of backend development experience.
Strong expertise in Java, Spring Boot, Spring MVC, Hibernate/JPA.
Hands-on experience with Microservices Architecture.
Experience building RESTful APIs.
Strong knowledge of SQL/NoSQL databases.
Experience with Payment Gateway Integration (Stripe, Adyen, Razorpay, Worldpay, PayU, Checkout.com, etc.).
Hands-on experience developing Checkout and Payment Processing workflows.
Understanding of Payment Lifecycle, including Authorization, Capture, Refunds, Settlement, Webhooks, and Transaction Management.
Experience with Docker, Kubernetes, and containerized applications.
Good understanding of CI/CD pipelines using Jenkins or similar tools.
Familiarity with Git, Agile methodologies, and engineering best practices.
Strong problem-solving and debugging skills.
Preferred Skills :
Experience working in FinTech, Payments, E-commerce, or Product-based organizations.
Exposure to Cloud Platforms (GCP/AWS/Azure).
Experience with Kafka or event-driven architecture.
Knowledge of OAuth2, JWT, Keycloak, or similar authentication mechanisms.
Experience with Monitoring & Observability tools (Grafana, Prometheus, ELK, Splunk).
Performance tuning and scalability optimization experience.
Preferred Background :
Candidates from FinTech, Digital Payments, Banking Products, E-commerce, or Product Engineering companies.
Experience working on high-volume transaction systems handling secure payment processing and checkout experiences.
Java backend (Java + Kafka)
Bangalore
5+yrs
immediate to 15days
Java, Spring Boot, Kafka, microservice
We are looking for a Backend Engineer (SDE 2) to build scalable backend systems for EV charging infrastructure and energy management platforms. The role focuses on developing high-performance APIs, event-driven systems, and data pipelines that process EV telemetry, charging sessions, and energy analytics.
What You'll Own
- Design and develop scalable backend services and RESTful/WebSocket APIs.
- Build microservices using Go.
- Design and optimize databases for high-volume telemetry and charging-session data.
- Build event-driven systems and data pipelines using Kafka or similar messaging systems.
- Work on real-time and batch processing workflows for telemetry, energy metrics, and analytics.
- Improve application reliability, performance, monitoring, and observability.
- Deploy and operate services using Docker and Kubernetes.
- Participate in system design, architecture discussions, code reviews, testing, and technical documentation.
- Mentor and support junior engineers when required.
Required Qualifications
- 3 - 5+ years of backend development experience building scalable APIs and microservices.
- Strong proficiency in Golang.
- Strong understanding of PostgreSQL, MongoDB, or other relational/NoSQL databases.
- Experience with query optimization, indexing, schema design, partitioning, or replication.
- Experience building event-driven or distributed systems using Kafka or similar messaging systems.
- Familiarity with GCP or other cloud platforms.
- Experience with Docker and Kubernetes.
- Experience with monitoring and observability tools such as Grafana, Kibana, or ELK.
- Strong understanding of system design, scalability, and performance optimization.
- Experience writing clean, maintainable, testable code with unit and integration tests.
Nice to Have
- Experience working with EV charging, energy management, mobility, or IoT platforms.
- Experience processing high-volume telemetry or time-series data.
- Experience with real-time data processing and analytics pipelines.
- Experience with WebSockets or other real-time communication protocols.
- Experience with CI/CD and production infrastructure.
- Experience working with distributed systems at scale.
Why Join Us
- Build backend infrastructure powering EV charging and energy platforms.
- Work on distributed systems, real-time data, and high-volume telemetry.
- Solve challenging problems around scalability, reliability, and performance.
- Take meaningful ownership of production systems and technical decisions.













