Staff Software Engineer

Genesys

. Design, develop and deliver scalable cloud backend and voice-platform services supporting real-time communications .

Posted 11/9/2026full-timeRemote • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable cloud backend services, with a strong focus on real-time communications and microservices architecture. Proficient in Java, Python, and C, with hands-on experience in AWS and AI-powered feature development.

Highest-signal resume keywords

Java DevelopmentPython DevelopmentAWS LambdaMicroservices ArchitectureSIP/VoIP Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaPythonCSpring BootAWSMicroservicesSIPVoIPMultithreadingCI/CD

Soft Skills

Strong Communication SkillsAnalytical Problem-SolvingTechnical Guidance

Tools & Technologies

AWS EC2AWS DynamoDBAWS RDS/PostgreSQLAWS S3SumoLogicNew RelicJenkinsReact

Industry Keywords

Real-Time CommunicationsHigh-Availability SystemsDistributed SystemsAI SafetyContact-Center Experience

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDNSDynamoDBEC2JavaJenkinsKubernetesLinuxMicroservicesPostgresPythonReactRedisSDLCSpringSpring BootSpringBootTCP/IPVoIP

About the role

Key responsibilities & impact

Design, develop and deliver scalable cloud backend and voice-platform services supporting real-time communications
Implement backend microservices in Java and Spring Boot
Build Python-based AWS Lambda serverless functions for event-driven and automation workloads
Build AI bots and agents using MCP, RAG, vector databases, guardrails and LangChain
Develop and maintain C systems software, including network-facing and open-source platform components such as OpenSIPS/SIP routing
Contribute to full-stack features including React-based UIs and operational tooling
Build and operate scalable, observable and production-ready services on AWS
Apply networking and Linux systems expertise to real-time communications workloads
Design and troubleshoot high-throughput, low-latency services using multithreading, concurrency and thread-safety
Build fluency in SIP/VoIP and Genesys voice-platform concepts
Troubleshoot complex production issues across networking, systems and service layers
Drive root-cause analysis and lasting fixes using SumoLogic and New Relic
Translate ambiguous requirements into architecture and document decisions for scalability, fault tolerance and maintainability
Collaborate with product, architecture, DevOps, QA, security and operations teams
Champion engineering best practices for design, code quality, CI/CD, testing, monitoring, logging, tracing and production operations
Provide technical guidance and mentorship through design reviews, code reviews and hands-on collaboration without direct reports
Drive continuous improvement in system performance, availability, scalability, fault tolerance and maintainability across the voice platform

Requirements

What you’ll need

7+ years of professional software engineering experience as a hands-on individual contributor, including staff/principal-level technical impact
Proven ability to drive technical initiatives from architecture through production delivery
Ability to provide technical guidance and influence engineering direction without formal authority
Strong communication skills across engineering, product, and operations
Experience supporting mission-critical, high-availability production systems
Strong system design and analytical/problem-solving skills
Ability to learn SIP/VoIP and real-time communications concepts quickly
Ability to balance quality, performance, security, and delivery timelines
Proficiency with AI coding assistants and agentic development tools across the SDLC
In-depth knowledge of SIP, VoIP, RTP/SRTP
Strong Java, Python and C skills, or proven ability to ramp quickly in C
Experience with Spring Boot, Spring and REST API design
Experience building AI-powered features or internal tooling using LLM APIs, MCP servers/agents, RAG pipelines, embeddings or vector databases
Awareness of AI safety, prompt-injection risks, and secure handling of code and data with third-party AI tools
Experience with microservices and distributed systems design and operation
Deep understanding of multithreading, thread lifecycle, synchronization and thread-safety
Hands-on AWS experience with EC2, Lambda, DynamoDB, RDS/PostgreSQL, S3, SNS/SQS, ElastiCache (Redis), IAM and CloudWatch
Strong networking fundamentals including TCP/IP, UDP, DNS, TLS/mTLS, sockets, HTTP and network debugging
Strong Linux experience in development and production environments
Production issue analysis and root-cause experience using SumoLogic and New Relic
CI/CD experience with pipeline-as-code, automated testing and deployment such as Jenkins
Prior SIP/VoIP or contact-center experience is a plus, not a strict requirement
Nice-to-have experience with OpenSIPS, Kamailio, Asterisk or FreeSWITCH
Nice-to-have Genesys Cloud CX, contact-center, carrier, CCaaS, UCaaS or CPaaS experience
Nice-to-have React experience
Nice-to-have extended AWS, IaC, messaging/streaming, networking/security and Kubernetes experience

Benefits

Comp & perks

Flexible-first culture with flexible ways of working
Mentorship, learning programs, leadership development and education support
Paid volunteer time
August Free Fridays
Well-being resources
Regionally tailored programs for employees and their families