{"id":3696290,"url":"https://alion.io/job/genesys-software-developer-analytics-data-platform-data-reliability","title":"Software Developer – Analytics Data Platform (Data Reliability)","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":86,"open_postings":28,"ghost_share":0.036,"stale_share":0.393,"repost_share":0.143,"time_to_fill_p50_days":24,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New Brunswick, United States","Canada"],"countries":["US","CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"JUnit","optional":false},{"name":"LangGraph","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Rest-Assured","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Synthetic Data","optional":false},{"name":"TestNG","optional":false},{"name":"AWS Glue","optional":true},{"name":"GDPR","optional":true},{"name":"LangChain","optional":true},{"name":"OpenTelemetry","optional":true}],"status":"live","first_seen_at":"2026-11-03T18:13:14Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-04T20:25:48Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"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.\nRole Overview: (Remote Canada)\nThe Analytics Data Platform team builds the data foundation that powers analytics and insights across Genesys Cloud, processing petabyte-scale customer experience data where correctness, completeness, and timely delivery directly influence the experiences our customers can provide. As a Software Developer, you will own meaningful parts of this platform across data engineering, quality engineering, and production reliability, using Spark, Apache Airflow, Apache Iceberg, Java, Python, and AWS to build scalable batch pipelines, services, and platform capabilities.\nQuality engineering is a core part of the role. You will shape test strategy and architecture, determine how new capabilities are validated, and build the automated tests, realistic test data, data quality controls, and CI/CD gates that give the team confidence to release. You will also follow what you build into production, participate in on-call support, and turn operational lessons into stronger automated safeguards.\nYou will help advance an AI-driven software development lifecycle by moving beyond AI-assisted coding into practical engineering workflows, including MCP tools, agent skills, and agentic solutions that improve debugging, incident triage, and test generation. Your work will influence how the team adopts AI-driven development and testing while maintaining the engineering judgment needed to validate AI-generated output.\nAt Genesys, we use AI-powered experience orchestration to help organizations create more personalized customer and employee experiences. This role gives you exposure to platform-level engineering at significant scale, opportunities to expand your expertise across distributed data systems and AI-enabled engineering, and the ability to influence practices used by teams that depend on the Analytics Data Platform.\nKey Responsibilities:\nDesign, build, and operate scalable Spark batch pipelines, Airflow DAGs, services, and platform tooling on AWS that deliver reliable analytics data across Genesys Cloud\nOwn test strategy and test architecture for new platform capabilities, defining the appropriate unit, integration, API, data pipeline, and end-to-end validation needed for confident releases\nDevelop automated test frameworks and suites using Java and Python, integrating validation into Jenkins CI/CD and AWS-native orchestration such as Step Functions for stateful, multi-step testing\nDefine and generate representative test datasets using sampled and synthetic data, including AI-generated data where appropriate, to validate edge cases, multi-tenant scenarios, privacy requirements, and schema evolution\nImplement data quality controls and release gates that identify correctness, completeness, freshness, and reconciliation issues before they affect downstream teams or customers\nDrive release readiness by reviewing designs and code for testability, risk, scalability, and performance, and by establishing clear evidence that changes are ready for production\nAdvance AI-driven engineering practices by building MCP tools, agent skills, or agentic workflows using technologies such as Strands or LangGraph to improve debugging, triage, and automated test generation\nStrengthen production reliability through on-call participation, root cause analysis, and automated regression tests or data checks that reduce the likelihood of recurring incidents\nPartner with developers, product teams, and platform consumers to define acceptance criteria, align on data quality expectations, and share engineering knowledge across a distributed team\nRequired Qualifications:\nMaster's degree in Computer Science or a related field, or a bachelor's degree in Computer Science or a related field plus 2+ years of experience in software development, quality engineering, or test automation\nStrong proficiency in Java and hands-on development experience with Python\nExperience developing automated tests in code using frameworks such as JUnit, TestNG, pytest, or REST Assured, including integration or end-to-end testing for APIs, services, or data pipelines\nExperience with CI/CD practices using Jenkins or an equivalent platform, along with Git-based development workflows\nWorking knowledge of AWS services such as Amazon S3, Amazon EMR, Amazon EC2, AWS Lambda, AWS Identity and Access Management (IAM), and Amazon CloudWatch\nPractical experience using AI-assisted development tools such as Kiro, Claude, GitHub Copilot, or Cursor, combined with sound judgment in reviewing and validating AI-generated output\nExperience with SQL and demonstrated ability to investigate data, application behaviour, and system signals to identify root causes\nAbility and willingness to participate in an on-call rotation and troubleshoot production incidents\nClear written and verbal communication skills, with the ability to collaborate effectively and work independently within a distributed team\nPreferred Qualifications:\nHands-on experience with Apache Spark for large-scale batch processing, preferably using Amazon EMR\nExperience writing, testing, or operating Apache Airflow DAGs\nFamiliarity with big data technologies such as AWS Glue, Amazon Athena, or Apache Iceberg\nExperience with data quality engineering, including pipeline output validation, reconciliation, data contracts, and schema-evolution testing\nExperience generating test data at scale using sampled, synthetic, or AI-generated datasets while respecting applicable privacy requirements\nExperience with performance or scalability testing for batch processing or distributed systems\nKnowledge of pipeline observability practices, including metrics, logs, tracing with OpenTelemetry, and alerting\nExperience contributing to shared test frameworks or platform tooling used across multiple engineering teams\nExperience with multi-tenant SaaS platforms or privacy-related data lifecycle requirements, including GDPR data deletion\nFamiliarity with building MCP tools, agent skills, or agentic workflows using frameworks such as Strands or LangGraph\nBenefits That Support You:\nWe invest in your well-being, because when you’re at your best, so are the experiences you create.\nComprehensive extended group health coverage\nGenerous paid time off, including vacation and personal leave\nRetirement savings program with employer RRSP matching up to a prescribed maximum amount\nFamily-friendly benefits, including parental leave top-up and adoption assistance\nGrowth and development opportunities through access to learning resources and internal mobility programs\nExact details of these programs, including the conditions for eligibility, the amount of the benefit (including caps on benefits and customary pricing details), the length of the paid time off, etc. will be provided upon hire and is subject to Genesys policies.\nCompensation:\nThis role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.\n$102,900.00 - 135,000.00Working 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.\nThis is an active opening at Genesys. We use Artificial Intelligence to support the hiring process, but every application is reviewed by our Talent Acquisition team, looking beyond keywords to focus on your experience and potential.\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":11749,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Unified Communications","Conversational AI","AI Agents","Customer Support & Help Desk Software"],"lifecycle":[{"event":"open","at":"2026-11-03T18:13:14Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":24,"reasons":["conf:0","velocity","win:early","comp:junior,brand"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/genesys-software-developer-analytics-data-platform-data-reliability","json_url":"https://alion.io/job/genesys-software-developer-analytics-data-platform-data-reliability.json","meta":{"generated_at":"2026-11-05T00:51:32Z","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":1035,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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-software-developer-analytics-data-platform-data-reliability"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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-software-developer-analytics-data-platform-data-reliability"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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-software-developer-analytics-data-platform-data-reliability"},{"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-software-developer-analytics-data-platform-data-reliability\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgenesys-software-developer-analytics-data-platform-data-reliability"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3696290}},{"tool":"search_jobs","arguments":{"company":"genesys.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3696290},"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. 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