{"schemaVersion":"jobsearcher.job.v1","id":"83b29158dbe9afab3d25316f","url":"https://jobsearcher.com/jobs/83b29158dbe9afab3d25316f","canonicalUrl":"https://jobsearcher.com/jobs/83b29158dbe9afab3d25316f","title":"Staff/Senior Python Engineer","description":"We are looking for a Senior/Staff Backend Engineer to own the core services at the heart of the platform — the data-intensive computation layer that turns curated financial and operational data into correct, reproducible, fully traceable results. This is the structured engineering beneath the product: not dashboards, not an LLM wrapper, but the services that do the heavy computation and stand behind every number the platform produces.\nYou would be responsible for building reusable, configuration-driven computation components, enforcing strong controls and guardrails over automated output, and guaranteeing every result can be reproduced and audited. You provide technical leadership for the backend team and partner with data, AI, and product to translate domain logic into robust, reusable services.\n\nResponsibilities\n\nCore Computation Services (35%)\nOwn the services that perform the platform's core financial and operational computation\nBuild a composable library of reusable computation components driven by configuration\nProduce results that are fully traceable to their source inputs\nCompute the supporting quality and confidence signals around each result\nComputation & Correctness (20%)\nExpress complex logic as correct, performant, set-based computation over the warehouse\nGuarantee results reconcile and are reproducible\nOwn performance and cost of the core services\nConfiguration Runtime (15%)\nBuild the runtime that executes per-domain configuration\nAdd new domains and use cases through configuration — never a bespoke code path\nKeep the component library extensible\nControls & Auditability (15%)\nEnforce guardrails over automated output in code\nBuild the controls / feature-flag system to scope or disable automated behavior per tenant or feature\nBuild audit logging and lineage for end-to-end traceability to source\nMulti-Cloud & Multi-Tenant (10%)\nBuild for a multi-cloud-ready, multi-tenant-ready, customer-hosted deployment model\nServices that run inside a customer's environment with strong isolation and no egress\nTechnical Leadership (5%)\nSet patterns, review designs, and mentor the backend team\nPartner with data, AI, and product on service design\n\nRequirements\n\nLanguages & Services\nPython\nProduction service design & testing\nConfig-driven / rules-engine architectures\nData & Compute\nSQL (window functions, large joins)\nSnowflake / PostgreSQL\nSet-based, reproducible computation\nPlatform\nDocker / Kubernetes / Terraform\nMulti-tenant, customer-hosted deployment\nAudit logging & lineage\nRequired Qualifications\nCore\n8+ years backend engineering (Python / Go / Java or similar), with significant Staff+ time owning complex, data-intensive systems.\nAn passion for correctness, traceability, and testability — \"every result is explainable and reproducible\" as a requirement.\nBachelor’s degree in Computer Science, Business, Engineering, or a related field.\nTechnical Depth\nElite SQL and data modeling — window functions, large-scale joins, and rigorous reasoning about correctness and performance.\nExperience designing configuration-driven, extensible service architectures.\nStrong system design for reliability, isolation, and reproducibility.\n\nNice to have\n\nFinance / accounting / analytics domain, or genuine willingness to learn how financial statements are built and reconciled.\ndbt, Snowflake / PostgreSQL; multi-tenant, customer-hosted deployment; Docker / Kubernetes / Terraform.\nExposure to ML / statistical workflows and LLM application patterns — enough to integrate them well.\nExperience building auditable systems in a regulated environment.\n\nWe offer\n\nOpportunity to work on cutting-edge projects\nWork with a highly motivated and dedicated team\nCompetitive salary\nFlexible schedule\nBenefits package - medical insurance, vision, dental, etc.\nCorporate social events\nProfessional development opportunities\nWell-equipped office\n\nAbout us\nGrid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.","company":"Griddynamics","rawCompany":"griddynamics","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-15T13:11:48.217Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff/Senior Python Engineer","description":"We are looking for a Senior/Staff Backend Engineer to own the core services at the heart of the platform — the data-intensive computation layer that turns curated financial and operational data into correct, reproducible, fully traceable results. This is the structured engineering beneath the product: not dashboards, not an LLM wrapper, but the services that do the heavy computation and stand behind every number the platform produces.\nYou would be responsible for building reusable, configuration-driven computation components, enforcing strong controls and guardrails over automated output, and guaranteeing every result can be reproduced and audited. You provide technical leadership for the backend team and partner with data, AI, and product to translate domain logic into robust, reusable services.\n\nResponsibilities\n\nCore Computation Services (35%)\nOwn the services that perform the platform's core financial and operational computation\nBuild a composable library of reusable computation components driven by configuration\nProduce results that are fully traceable to their source inputs\nCompute the supporting quality and confidence signals around each result\nComputation & Correctness (20%)\nExpress complex logic as correct, performant, set-based computation over the warehouse\nGuarantee results reconcile and are reproducible\nOwn performance and cost of the core services\nConfiguration Runtime (15%)\nBuild the runtime that executes per-domain configuration\nAdd new domains and use cases through configuration — never a bespoke code path\nKeep the component library extensible\nControls & Auditability (15%)\nEnforce guardrails over automated output in code\nBuild the controls / feature-flag system to scope or disable automated behavior per tenant or feature\nBuild audit logging and lineage for end-to-end traceability to source\nMulti-Cloud & Multi-Tenant (10%)\nBuild for a multi-cloud-ready, multi-tenant-ready, customer-hosted deployment model\nServices that run inside a customer's environment with strong isolation and no egress\nTechnical Leadership (5%)\nSet patterns, review designs, and mentor the backend team\nPartner with data, AI, and product on service design\n\nRequirements\n\nLanguages & Services\nPython\nProduction service design & testing\nConfig-driven / rules-engine architectures\nData & Compute\nSQL (window functions, large joins)\nSnowflake / PostgreSQL\nSet-based, reproducible computation\nPlatform\nDocker / Kubernetes / Terraform\nMulti-tenant, customer-hosted deployment\nAudit logging & lineage\nRequired Qualifications\nCore\n8+ years backend engineering (Python / Go / Java or similar), with significant Staff+ time owning complex, data-intensive systems.\nAn passion for correctness, traceability, and testability — \"every result is explainable and reproducible\" as a requirement.\nBachelor’s degree in Computer Science, Business, Engineering, or a related field.\nTechnical Depth\nElite SQL and data modeling — window functions, large-scale joins, and rigorous reasoning about correctness and performance.\nExperience designing configuration-driven, extensible service architectures.\nStrong system design for reliability, isolation, and reproducibility.\n\nNice to have\n\nFinance / accounting / analytics domain, or genuine willingness to learn how financial statements are built and reconciled.\ndbt, Snowflake / PostgreSQL; multi-tenant, customer-hosted deployment; Docker / Kubernetes / Terraform.\nExposure to ML / statistical workflows and LLM application patterns — enough to integrate them well.\nExperience building auditable systems in a regulated environment.\n\nWe offer\n\nOpportunity to work on cutting-edge projects\nWork with a highly motivated and dedicated team\nCompetitive salary\nFlexible schedule\nBenefits package - medical insurance, vision, dental, etc.\nCorporate social events\nProfessional development opportunities\nWell-equipped office\n\nAbout us\nGrid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.","datePosted":"2026-08-15T13:11:48.217Z","dateModified":"2026-08-15T13:11:48.217Z","hiringOrganization":{"@type":"Organization","name":"Griddynamics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"83b29158dbe9afab3d25316f"},"url":"https://jobsearcher.com/jobs/83b29158dbe9afab3d25316f"}}