812 Postgresql jobs available for remote work from home. Apply for positions such as Backend Engineer, Senior Full-Stack AI Engineer (Agentic Systems), AI -Full stack developer, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Develop backend services using Java and Spring Boot within modern microservices and cloud architectures. Apply current development practices, including reactive programming, domain-driven design, messaging, and comprehensive testing.
The Senior Full-Stack AI Engineer will design, build, and ship production-ready software features across the full stack, including frontend, backend, and AI services. They will specifically focus on developing agentic workflows, retrieval-augmented generation (RAG), and integrating large language models into enterprise cybersecurity compliance platforms.
You will build and extend full-stack features using React, Node.js, and Go while modernizing legacy codebases. You will also collaborate with stakeholders to design scalable solutions and maintain high-quality unit and integration tests.
Design and build full-stack applications, including React and TypeScript front ends, Python back-end services, and scalable APIs on AWS. Optimize database queries, implement automated testing, manage containerization and CI/CD deployments, and collaborate with stakeholders to deliver production-ready solutions.
Develop and maintain Python and Django backend services, data pipelines, feed ingestion systems, and background processing, while integrating with third-party ATS platforms. Optimize PostgreSQL and backend performance, troubleshoot complex or legacy systems, and own backend features through delivery in collaboration with cross-functional teams.
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Design, build, and ship production features across the TypeScript stack, owning backend services, APIs, integrations, data flows, and AWS serverless infrastructure while contributing to the frontend as needed. Work directly with enterprise customers to translate their needs into maintainable product capabilities, review AI-generated code, and help shape engineering practices and technical direction.
You will investigate and resolve advanced customer issues related to the Supabase platform, including Postgres, Auth, and Edge Functions. Additionally, you will provide proactive advice to optimize workloads and collaborate with engineering to improve product quality.
You will act as a technical reference for the Sensedia AI Gateway, designing and evolving the control plane to manage AI agents and LLM integrations. You will collaborate with multidisciplinary teams to ensure the platform is scalable, secure, and resilient while implementing advanced features like guardrails and API governance.
You will own the end-to-end data lifecycle, from scraping and ingestion to modeling and exposing data through the platform's AI and API features. You will also manage the data platform's reliability, build analytical layers, and collaborate with product and AI squads to improve data-driven features.
You will be responsible for the administration, maintenance, and optimization of PostgreSQL databases in cloud environments. This includes designing scalable data structures, automating maintenance tasks, and collaborating with development teams to ensure high availability and performance.
Build and maintain scalable full-stack applications, Angular frontends, APIs, and real-time data systems, including migrating services to edge runtimes with Cloudflare Workers. Shape long-term architecture and collaborate with design, product, and operations to improve customer-facing experiences and platform performance.
You will develop and maintain the VoiceBot platform by integrating LLM, ASR, and TTS engines to improve dialogue quality and system architecture. Additionally, you will manage the release cycle, optimize backend performance, and resolve technical incidents to ensure high-quality service delivery.
Design and develop high-load, distributed backend services for financial operations and payment lifecycle management. Actively shape system architecture while implementing observability and ensuring platform reliability and scalability.
The Team Leader will manage the SRE team's career development, performance, and hiring while steering the team's focus toward company goals. They will also oversee core infrastructure, reliability practices, and act as a spokesperson for the team across the engineering organization.
The role involves leading the design and development of foundational features for the DocumentDB engine, focusing on PostgreSQL internals and query engine extensions. You will collaborate with open-source communities to align on roadmaps and optimize distributed systems for large-scale document workloads.
You will own the end-to-end reporting lifecycle, including data modeling, metric definitions, and the creation of dashboards for operations teams and enterprise clients. Additionally, you will ensure data quality and reconciliation while driving improvements across the company's product suite.
You will build, operate, and scale petabyte-scale relational database infrastructure to support high-availability product services. This includes optimizing query performance, managing CDC pipelines, and automating routine database operations using AI-assisted workflows.
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You will define and implement a scalable, resilient database platform strategy across the organization while leading cross-functional technical initiatives. This role involves hands-on production coding, building automation tooling, and establishing architectural standards for database operations.
Develop and ship end-to-end web and backend features while building AI-powered systems including custom agents and RAG pipelines. Collaborate within an autonomous remote environment to transform product requirements into scalable, production-grade solutions.
The Senior Database Administrator is responsible for ensuring the availability, integrity, and performance of complex data assets while collaborating with cross-functional teams. Key duties include installing and maintaining database systems, implementing security measures, and designing robust backup and disaster recovery strategies.
You will build and activate a strategic OT systems integrator ecosystem to drive the adoption of TigerData's technology in industrial environments. This involves developing go-to-market motions, managing partner enablement, and executing joint sales strategies to generate pipeline and revenue.
You will design, build, and optimize robust ETL/ELT data pipelines and models to support organizational analytics. Additionally, you will mentor junior engineers and collaborate with stakeholders to translate business needs into scalable technical solutions.
You will design and implement scalable backend services and integration workflows for digital payment systems using Java, Spring Boot, and event-driven architectures. Additionally, you will lead performance testing initiatives and contribute to cloud-native modernization efforts within a high-impact financial services environment.
You will build and maintain Python-based data pipelines to integrate third-party marketing APIs into the company's ELT platform. This involves managing API authentication, rate limits, and data normalization to ensure reliable data delivery at scale.
The role involves designing and developing SQL code, ETL processes, and automated solutions while performing data analysis to support business investigations. You will also be responsible for performance monitoring, troubleshooting failures, and engaging with subject matter experts to define key performance indicators.
You will own the distributed backend data engine end-to-end, ensuring precision, performance, and scale for complex crypto tax data. You will also lead architectural decisions and collaborate with product and engineering teams to maintain high-quality code standards.
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Lead the technical architecture and implementation of a large-scale Drupal 11 platform for government modernization. Define technical standards, content models, and integration strategies while mentoring engineering teams and aligning stakeholders.
The Senior Data Engineer will design, document, and integrate complex environmental datasets while supporting legacy database analysis. They will also collaborate with stakeholders to build API integrations and ensure accurate data representation within the AirHub system.
You will improve the scalability, reliability, and performance of the Ruby on Rails application while designing and optimizing data storage systems. Additionally, you will build features for developer communities and develop integrations with external platforms to extend the product ecosystem.
The Associate Architect will lead the end-to-end development lifecycle, designing and building scalable web applications using Java and Spring Boot. They will also perform deep-system analysis, troubleshoot complex technical issues, and ensure high-quality code through test-driven development and AI-augmented tools.
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