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ProsperOps
ProsperOps
51 – 200 Darbinieki
B2BSaaSUzņēmums
ProsperOps ir SaaS uzņēmums, kas koncentrējas uz autonomu FinOps automatizāciju organizācijām, kuras izmanto darba slodzes AWS, Google Cloud un Microsoft Azure platformās. Tā platforma palīdz FinOps un DevOps komandām pārvaldīt mākoņdatošanas izdevumus, izmantojot ar mākslīgo intelektu darbinātu tarifu optimizāciju, automātisku saistību pārvaldību, resursu plānošanu un darba slodžu optimizāciju. Nepārtraukti analizējot norēķinu datus un pielāgojot saistības un grafikus, ProsperOps cenšas uzlabot mākoņdatošanas efektivitāti, ierobežot piesaistes vienam pakalpojumu sniedzējam risku un samazināt nevajadzīgus izdevumus. Uzņēmums nodrošina arī pārskatu, salīdzinošās analīzes un showback funkcijas, lai atbalstītu skaidrāku izmaksu pārskatāmību un ar mākoņdatošanas finansēm saistītu lēmumu pieņemšanu.
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Vakances uzņēmumā

Staff Data Engineer

Lead the design of Python APIs and scalable data platforms for cloud cost optimization, using PostgreSQL and Databricks. Drive backend architecture, AI workflows, and production operations.

INIndijaHibrīdiPilna slodzeVadošais speciālistsNepieciešamā Valoda: angļuDatu inženieris
AWSAzureFlaskMākonisPostgresPythonRDBMSSparkTerraform

Apraksts

  • Architect and evolve scalable, cloud native backend systems and APIs.
  • Build and own Python API services, such as FastAPI, that make data platform capabilities available.
  • Design PostgreSQL schemas and improve indexing, query performance, and migrations.
  • Set technical direction for reliability, scale, performance, and cost efficiency across data intensive workloads.
  • Lead complex backend initiatives from initial design through production launch and operational maturity.
  • Maintain CI/CD pipelines with GitHub Actions and Terraform, and deploy changes to production.
  • Diagnose issues across APIs, databases, and data pipelines.
  • Work with data engineering, frontend, platform, and SRE teams.
  • Shape engineering standards for code quality, testing, CI/CD, observability, and operations.
  • Review and provide guidance on designs and implementations across teams.
  • Mentor engineers at different levels of experience.
  • Apply industry developments in backend systems, cloud platforms, and data engineering at scale.

Prasības

  • Bachelor's or master's degree in computer science, engineering, or equivalent practical experience.
  • At least eight years of backend engineering experience.
  • Practical Python application and service development, including production APIs and services.
  • Strong relational database experience, ideally with PostgreSQL.
  • Experience with schema design, complex query development and optimization, migration tools such as Flyway, and query plan performance debugging.
  • Experience designing, building, deploying, and operating REST APIs with FastAPI, Flask, or an equivalent framework.
  • Experience building and maintaining CI/CD deployment automation with GitHub Actions, Azure DevOps, or similar tools.
  • Infrastructure as code experience with Terraform or a comparable tool.
  • Experience building large scale data or analytics platforms.
  • Strong knowledge of observability, monitoring, distributed tracing, query profiling, and latency diagnosis.
  • Experience with security, compliance, and enterprise SaaS requirements.
  • Previous experience in FinOps, cloud cost optimization, or enterprise SaaS platforms.
  • AWS experience, including ECS/Fargate, RDS, S3, IAM, and Secrets Manager.
  • Experience building AI enabled backend systems, including LLM based or agent driven workflows.
  • Preferred, not required: Power BI Direct Lake mode and semantic modeling for lakehouse analytics.
  • Preferred, not required: Mosaic AI, Databricks GenAI capabilities, or Feature Store implementations.
  • Preferred, not required: Contributions to open source Spark, Databricks community content, or certifications such as Databricks Certified Data Engineer Professional.

Priekšrocības

  • Competitive compensation.
  • Flexible work arrangements.
  • Defined growth paths for senior technical leaders.
  • Remote team structure within the region where the role is advertised.
  • Equal opportunity employer.
  • Accommodations are available for candidates who need them.

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