Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer (Location Services) (Geospatial/Backend): Building scalable, reliable, high-performance location-based services and geospatial capabilities with an accent on spatial data modeling, indexing, querying, APIs, and distributed systems. Focus on owning geospatial microservices through production, improving observability and reliability, and solving complex integration and location-accuracy challenges.
Location: Hybrid, one day per week in the office and four days working from home, based at a hirify.global US office in Dallas, Austin, Irvine, or San Diego.
Annual pay range: $111,900–$160,000 USD.
Company
hirify.global provides property intelligence, data, connectivity, and technology for the global property industry.
What you will do
Design, build, and maintain scalable, low-latency, highly available backend services for the Location Services platform.
Lead component-level design and delivery of geospatial features, APIs, and microservices from specification through production.
Apply geospatial expertise to data modeling, spatial indexing, querying, processing, location accuracy, data quality, security, and performance.
Collaborate with product managers, data engineers, infrastructure teams, and partner engineering teams on integrations and technical guidance.
Implement observability, monitoring, alerting, automated testing, CI/CD, and reliability practices; participate in on-call support and root-cause analysis.
Mentor junior and mid-level engineers through pairing, design discussions, and code reviews.
Requirements
5+ years of professional software engineering experience, including production backend systems.
Hands-on geospatial experience and experience building or supporting location-based services, mapping platforms, or spatial data pipelines in production.
Experience designing and building scalable distributed systems and RESTful or gRPC APIs.
Strong proficiency in one or more backend languages, such as Java, C++, Python, or Go.
Experience building and deploying cloud-native applications using platforms such as GCP, AWS, or Azure.
Strong collaboration and communication skills, including the ability to explain technical concepts to technical and non-technical stakeholders.
Nice to have
Experience with real-time or near-real-time location processing pipelines.
Familiarity with geospatial tools and standards such as GDAL, GeoServer, OGC standards, and GeoJSON.
Experience with Docker and Kubernetes.
Familiarity with asynchronous messaging and data streaming, such as Kafka or Pub/Sub.
Experience with performance tuning, load testing, and reliability engineering.
Culture & Benefits
Flexible hybrid working model with generous PTO, 11 paid holidays, well-being time, and volunteer time off.
Up to 16 weeks of fully paid parental leave and a baby stipend.
Medical plan options with mental health and wellness support.
401(k) with company match and vesting after one year.
$400 annual well-being stipend, tuition assistance up to $5,250, recognition rewards, referral bonuses, and discounts.
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