{"id":3965828,"url":"https://alion.io/job/genesys-staff-software-engineer-4","title":"Staff Software Engineer","company":{"id":660,"name":"Genesys","domain":"genesys.com","url":"https://alion.io/company/genesys","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":31,"ghost_share":0.032,"stale_share":0.355,"repost_share":0.161,"time_to_fill_p50_days":24,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Java","optional":false},{"name":"Linux","optional":false},{"name":"AI Agents","optional":true},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon EC2","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon S3","optional":true},{"name":"Ansible","optional":true},{"name":"Apache Kafka","optional":true},{"name":"API Gateway","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"AWS Lambda","optional":true},{"name":"ChatGPT","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude","optional":true},{"name":"CloudFormation","optional":true},{"name":"Copilot","optional":true},{"name":"Cursor","optional":true},{"name":"DNS","optional":true},{"name":"DynamoDB","optional":true},{"name":"Embeddings","optional":true},{"name":"Envoy","optional":true},{"name":"IAM","optional":true},{"name":"Jenkins","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LLM","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"New Relic","optional":true},{"name":"Pipeline as Code","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"Redis","optional":true},{"name":"Rest API","optional":true},{"name":"Service Mesh","optional":true},{"name":"Spring Boot","optional":true},{"name":"Sumo Logic","optional":true},{"name":"TCP/IP","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-09T14:09:17Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T14:09:17Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Be the one building AI-powered experiences where they matter most.\nAt Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.\nHelp build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day.\nWe are seeking a Staff Software Engineer (individual contributor) to join our Voice Platform team as a hands-on senior engineer for high-performance, network-facing services that power real-time voice communications for Genesys Cloud contact centers worldwide. This is an exciting opportunity for an experienced engineer who is strong in Java, AI and cloud backend development, proficient (or eager to grow) in C and systems-level software, skilled in networking and Linux, and motivated to deepen expertise in SIP/VoIP and voice-platform systems.\nThis is a deep technical role, not a people-management role. You will spend your time designing and building, work across cloud backend microservices, serverless components, and systems-level software, and raise the technical bar through hands-on contribution. Prior SIP/VoIP or contact-center experience is a plus, not a strict requirement. If you enjoy complex distributed systems, production ownership, and solving hard problems while continuing to learn a specialized domain, this is a high-impact opportunity.\nKey Responsibilities\nThe primary responsibilities for this role include (but are not limited to):\nDesign, develop, and deliver scalable cloud backend and voice-platform services that support real-time communications with high reliability and operational excellence.\nHands-on implement backend microservices in Java and Spring Boot, along with Python-based serverless functions (AWS Lambda) for event-driven and automation workloads.\nbuilding AI bots, agents using latest tech stack like MCP, RAG, vector database, guardrails, langchain framework.\nDevelop and maintain systems software in C, including work with network-facing and open-source platform components (e.g. OpenSIPS/SIP routing) used in real-time communications.\nContribute to full-stack features, including React-based UIs and operational tooling, where needed.\nBuild and operate services on AWS, ensuring scalable, observable, and production-ready solutions.\nApply strong networking and Linux systems skills to develop, integrate, and troubleshoot real-time communications workloads.\nApply deep understanding of multithreading, concurrency, and thread-safety to design and troubleshoot high-throughput, low-latency services.\nBuild fluency in SIP/VoIP and Genesys voice-platform concepts and apply them effectively in your work.\nOwn troubleshooting of complex production issues spanning networking, systems, and service layers; drive root-cause analysis and lasting fixes using observability tooling such as SumoLogic and New Relic.\nDrive strong system design: translate ambiguous requirements into clear architecture, make sound trade-offs, and document decisions for scalability, fault tolerance, and maintainability.\nCollaborate with product, architecture, DevOps, QA, security, and operations to translate business and platform needs into durable technical solutions.\nChampion engineering best practices for design, code quality, CI/CD, testing, monitoring, logging, tracing, and production operations.\nProvide technical guidance and mentorship through design reviews, code reviews, and hands-on collaboration (individual contributor; no direct reports).\nDrive continuous improvement in system performance, availability, scalability, fault tolerance, and maintainability across the voice platform.\nMinimum Requirements\n7+ years of professional software engineering experience as a hands-on individual contributor, including staff/principal-level technical impact.\nProven ability to drive technical initiatives from architecture through production delivery.\nAbility to provide technical guidance and influence engineering direction without formal authority.\nStrong communication skills across engineering, product, and operations.\nExperience supporting mission-critical, high-availability production systems.\nStrong system design and analytical/problem-solving skills.\nAbility to learn SIP/VoIP and real-time communications concepts quickly.\nAbility to balance quality, performance, security, and delivery timelines.\nAI-Assisted Engineering: Proficient with AI coding assistants and agentic dev tools (e.g. GitHub Copilot, Cursor, Kiro, Claude, ChatGPT) across the SDLC - design exploration, code generation, test and documentation generation, large-scale refactoring, log and incident analysis. Strong judgment on when to trust, verify, or reject AI output, with attention to correctness, security, licensing, and data-privacy.\nIn depth knowledge of SIP, VoIP, RTP/SRTP.\nMust Have (Core Technical Skills)\nLanguages: Java (strong), Python, C (systems/network-oriented software, or proven ability to ramp quickly).\nFramework: Spring Boot, Spring; REST API design.\nExperience building AI-powered features or internal tooling: integrating LLM APIs (AWS Bedrock), MCP servers/agents, RAG pipelines, embeddings, or vector databases. Experience applying AI/LLMs to observability and operations (e.g. automated log analysis, incident summarization, runbook generation). Awareness of AI safety, prompt-injection risks, and secure handling of code and data with third-party AI tools.\nArchitecture: Microservices and distributed systems design and operation.\nConcurrency: Deep understanding of multithreading, thread lifecycle, synchronization, and thread-safety.\n AWS: Hands-on building and operating services on AWS - EC2, Lambda, DynamoDB, RDS/PostgreSQL, S3, SNS/SQS, ElastiCache (Redis), IAM, CloudWatch.\nNetworking: Strong fundamentals - TCP/IP, UDP, DNS, TLS/mTLS, sockets, HTTP, and network debugging.\nOS: Strong Linux experience in development and production environments.\nObservability: Production issue analysis and root-cause using SumoLogic and New Relic.\n CI/CD: Pipeline-as-code, automated testing and deployment (e.g. Jenkins).\nNice to Have (Bonus)\n Voice/Telecom: open-source telecom platforms (OpenSIPS, Kamailio, Asterisk, FreeSWITCH).\nDomain: Genesys Cloud CX, contact-center, carrier, CCaaS, UCaaS, or CPaaS experience.\nFront-end: React for operational and customer-facing tooling.\n AWS (extended): ECS/EKS, API Gateway, VPC/PrivateLink, Route 53, Secrets Manager, KMS.\nIaC: Terraform, CloudFormation, CDK, Serverless Framework, Ansible.\nMessaging/Streaming: Kafka/MSK or equivalent.\n Networking/Security: TLS 1.3, SRTP, network segmentation, service mesh (e.g. Envoy), multi-region deployments, Kubernetes.\nWorking at Genesys\nAI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.\nA flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.\nGrowth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support.\nTime to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.\nRecognized globally - Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.\nLearn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.\nWhat Happens After You Apply\nAfter you apply, here's what you can typically expect:\nOur Talent Acquisition team reviews your application with the hiring team.\nA Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. \nNext, you'll meet the hiring manager and other members of the interview team.\nWe aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.\nAfter interviews are complete, our team will follow up with the final steps.\nEvery application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.\nStay Connected\nStay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.\nGet notified about relevant opportunities.\nBe the one building what's next - where AI, experience and impact come together.\nEmployee Referral\nIf a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.\nAbout Genesys:\nGenesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud™ is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.ai.\nReasonable Accommodations:\nIf you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us .\nYou can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.\nThis email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response.\nGenesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.\nPlease note that recruiters will never ask for sensitive personal or financial information during the application phase.","description_format":"text","description_chars":10727,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Unified Communications","Conversational AI","AI Agents","Customer Support & Help Desk Software"],"lifecycle":[{"event":"open","at":"2026-11-09T14:09:17Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":24,"reasons":["conf:5","win:early","comp:brand"],"computed_at":"2026-11-09T19:20:30Z"},"pay":null,"html_url":"https://alion.io/job/genesys-staff-software-engineer-4","json_url":"https://alion.io/job/genesys-staff-software-engineer-4.json","meta":{"generated_at":"2026-11-09T19:20:30Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5026,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":660},"rest":"https://alion.io/mcp/rest/get_company?id=660"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgenesys-staff-software-engineer-4"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgenesys-staff-software-engineer-4"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgenesys-staff-software-engineer-4"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/genesys-staff-software-engineer-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgenesys-staff-software-engineer-4"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3965828}},{"tool":"search_jobs","arguments":{"company":"genesys.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3965828},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}