{"id":156338,"url":"https://alion.io/job/databricks-staff-software-engineer-customer-experience-intelligence-cxi","title":"Staff Software Engineer – Customer Experience Intelligence","company":{"id":15,"name":"Databricks","domain":"databricks.com","url":"https://alion.io/company/databricks","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":826,"ghost_share":0,"stale_share":0.26,"repost_share":0.005,"time_to_fill_p50_days":82,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":190000,"max":261250,"currency":"USD","period":"year","gross":null,"usd_annual":261250},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Scala","optional":false}],"status":"live","first_seen_at":"2026-02-25T01:06:07Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T18:06:35Z","board_verified":true,"closed_at":null,"days_open":259,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":259},"description":"P-1652\nAt Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.\nThe CXI team builds intelligent systems that orchestrate AI agents, humans, and enterprise tools to automate complex, high-volume workflows in business-critical domains. Starting with Databricks Support, the team develops agents that triage, diagnose, and resolve technical issues across distributed computing environments. The modular agent platform combines reliable infrastructure, robust observability, and continuous learning to evolve from human-guided workflows toward fully automated execution.\nThe Impact You Will Have\nLead the design and implementation of intelligent agent systems that automate complex technical workflows across distributed computing environments.\nDefine technical strategy and architectural direction for the agent platform, balancing reliability, scalability, and continuous learning capabilities.\nDrive cross-team technical initiatives to integrate AI agents with enterprise tools and human workflows.\nOwn critical system reliability, observability, and performance at scale as the platform evolves toward full automation.\nMentor senior engineers and raise the technical bar across the organization through design reviews and technical guidance.\nWhat We Look For\n8+ years of software engineering experience.\nExperience building and operating large-scale distributed systems in production environments.\nStrong proficiency in systems programming languages including Java, Scala, C++, or Go.\nTrack record of leading complex technical projects from conception through delivery, involving multiple teams or system boundaries.\nExperience with cloud technologies including AWS, Azure, GCP, Docker, or Kubernetes.\nAbility to influence technical direction through strong technical judgment and clear communication with both technical and non-technical stakeholders.\nExperience with software security and systems that handle sensitive data.\nB.S., M.S., or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience.\nPay Range Transparency\nDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.\nLocal Pay Range\n$190,000—$261,250 USD\nAbout Databricks\nDatabricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.\nBenefits\n At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.\nOur Commitment to Diversity and Inclusion\nAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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