CrawlJobs Logo
Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Software Engineer - PostgreSQL for AI Workloads

Spain, Barcelona · Job Posted March 18, 2026
Apply Position
Job Link Share

Job Description

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The Azure PostgreSQL team is building advanced, cloud-native capabilities that extend PostgreSQL into a trusted platform for AI workloads. This includes native support for vector search, semantic and full-text indexing, hybrid search patterns, graph queries, and in-database model integration. We are looking for a Senior Engineer to design and build foundational systems that enable intelligent applications to run directly inside PostgreSQL with performance, reliability, and scale.

Job Responsibility

  • Design and implement AI-native capabilities in PostgreSQL, including vector indexing, semantic and full-text search operators, hybrid search patterns, and graph query features
  • Own or contribute to the design and implementation of major AI-native subsystems, from early technical exploration through production readiness, with guidance from senior engineers as appropriate
  • Build and enhance high-performance PostgreSQL extensions and core engine integrations using C, C++, or Rust, with a strong focus on performance, correctness, and maintainability
  • Contribute to end-to-end development, including performance analysis, debugging, tuning, operability, and service integration in cloud database environments
  • Work effectively in high-ambiguity problem spaces, evaluating technical tradeoffs through experimentation as patterns and best practices emerge
  • Collaborate closely with senior engineers, product managers, and AI researchers to translate requirements into scalable, intuitive, and reliable systems
  • Participate actively in technical design discussions, code reviews, and the evolution of engineering standards, while deepening understanding of PostgreSQL internals and systems design
  • Help shape the developer experience through APIs, control plane integration, and extensibility mechanisms
  • Learn, apply, and promote best practices for building reliable, observable, and operable systems in a production cloud database service
  • Stay informed and curious about research and industry trends in databases, search systems, graph systems, and AI-powered data platforms.

Requirements

  • Bachelor's Degree in Computer Science or related technical field AND equivalent technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Proven technical engineering capabilities in systems-level engineering, including work on database engines, distributed systems, or backend infrastructure
  • Proficiency in one or more systems programming languages such as C, C++, or Rust
  • Experience working with PostgreSQL or similar engines at the extension, indexing, or query execution level
  • Demonstrated ability to design and deliver reliable, performant systems in a collaborative environment
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice to have

  • Experience implementing vector indexes, ANN search algorithms, or semantic retrieval systems
  • Interest or experience in graph data models or graph-aware query execution
  • Familiarity with embedding workflows, model integration, or retrieval-augmented generation patterns
  • Prior contributions to open-source databases, search engines, or AI infrastructure projects
  • Strong problem-solving and communication skills with a collaborative, growth-oriented mindset
  • Commitment to learning, innovation, and inclusive engineering culture
Microsoft Corporation - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Software Engineer - PostgreSQL for AI Workloads

8 matching positions

Software Engineer - PostgreSQL for AI Workloads

Microsoft’s Azure Data engineering team is leading the transformation of analyti...
Location
Location
Spain , Barcelona
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • Proven technical engineering capabilities, including experience working on backend systems, infrastructure, or performance-sensitive components
  • Proficiency in at least one systems programming language such as C, C++, or Rust, or strong fundamentals with demonstrated ability to ramp up quickly
  • Experience building, testing, and maintaining production quality software in a collaborative engineering environment
  • Solid understanding of data structures, algorithms, and systems fundamentals
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Job Responsibility
Job Responsibility
  • Contribute to the design and implementation of AI-native capabilities in PostgreSQL, including vector indexing, semantic and full-text search operators, hybrid search patterns, and graph query features
  • Implement and enhance PostgreSQL extensions and engine-level integrations under the guidance of senior engineers
  • Write high-quality, well-tested code in C, C++, or Rust with a focus on performance, correctness, and maintainability
  • Participate in technical design discussions and code reviews to learn PostgreSQL internals and systems design best practices
  • Collaborate with engineers, product managers, and researchers to translate requirements into working systems
  • Assist with performance analysis, debugging, and tuning of database features in development and production environments
  • Learn and apply best practices for building reliable, observable, and operable systems in a cloud database service
  • Stay curious about research and industry trends in databases, search systems, and AI-powered data platforms
  • Embody our culture and values.
  • Fulltime
Read More
Arrow Right

Staff Software Engineer, AI Agent Platform

The Geico AI Agent Platform team is seeking an exceptional Staff Software Engine...
Location
Location
United States , Chevy Chase; New York City
Salary
Salary:
115000.00 - 260000.00 USD / Year
geico.com Logo
Geico
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, Engineering, Mathematics, or a related field
  • an advanced degree (master’s or Ph.D.) is highly desirable
  • 6+ years of hands-on experience in designing, implementing, and maintaining multi-tenant AIML systems and platforms in production environments
  • 6+ years of experience working with cloud platforms such as Azure and AWS
  • Extensive expertise in designing and deploying large-scale data pipelines and real-time inference systems and managing the end-to-end AI Agent and/or AIML system development lifecycles, including configuration, evaluation, monitoring, observability and AuthN/AuthR considerations
  • 6+ years of experience working with common backend systems & tools (e.g, Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4J, etc.)
  • Deep understanding of Docker, container optimization, and multi-stage builds
  • Experience with Prometheus, Grafana, Open Telemetry and distributed tracing
  • 3+ years of experience building front-end web applications using frameworks such as React and/or Next.JS
  • Deep proficiency in programming languages such as Python, Java, Go, etc., with a strong emphasis on coding excellence
Job Responsibility
Job Responsibility
  • Architect and implement scalable multi-tenant backend systems for building AI agent workflows, including agent configuration, offline evaluation, synthetic data generation, workflow simulation, agent marketplace, etc. using Azure Kubernetes Service (AKS), FastAPI, etc., ensuring economy of scale and control cost of maintenance
  • Collaborate with Design team to architect and implement frontend experiences and workflows for onboarding both technical and non-technical stakeholders, maximizing user adoption and successful AI agent development
  • Develop observability frameworks to ensure 99.9%+ uptime for AI agent platforms through robust monitoring, alerting, and incident response procedures
  • Evaluate and (if desirable) integrate cutting-edge GenAI frameworks, libraries and vendors to maintain a state-of-the-art technology stack, including hybrid cloud solutions with AWS/GCP as backup or specialized use cases
  • Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows
  • Oversee the end-to-end lifecycle of AI agent applications, ensuring robust testing, deployment, and ongoing monitoring
  • Ensure adherence to company production readiness standards, security protocols, and regulatory compliance throughout the development lifecycle
  • Continuously optimize platform performance, reducing latency and improving throughput for AI agent workloads
  • Design and implement backup, recovery, and business continuity plans for hosted platform applications & services
  • Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps, GitHub Actions, and MLOps tools
What we offer
What we offer
  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
  • Financial benefits including market-competitive compensation
  • a 401K savings plan vested from day one that offers a 6% match
  • performance and recognition-based incentives
  • and tuition assistance
  • Access to additional benefits like mental healthcare as well as fertility and adoption assistance
  • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year
  • Fulltime
Read More
Arrow Right

Intermediate Software Engineer - Artificial Intelligence (AI)

Tucows Domains is the world’s largest wholesale domain registrar, responsible fo...
Location
Location
Canada , Toronto
Salary
Salary:
100350.00 - 111500.00 CAD / Year
tucows.com Logo
Tucows
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Software Engineering, Computer Science, or a related field
  • 3+ years of professional software engineering experience in production environments
  • Strong proficiency in Python and Golang
  • Solid foundation in software design principles, patterns, and service-oriented architecture
  • Experience contributing to scalable systems and component-level architecture
  • Ability to design and build RESTful APIs for model serving and AI-enabled workflows
  • Working knowledge of relational/SQL databases (preferably PostgreSQL) and data modeling for AI use cases
  • Strong understanding of modern LLM concepts, including transformer architectures and attention mechanisms
  • Hands-on experience adapting and deploying open-source models (e.g., LLaMA, Mistral, Mixtral) using tools like Ollama or Hugging Face Transformers
  • Experience with fine-tuning techniques (e.g., LoRA, QLoRA, PEFT) for domain-specific adaptation
Job Responsibility
Job Responsibility
  • Design and build AI-driven features for our domain services platform using Python and Golang
  • Integrate and fine-tune open-source models such as LLaMA 3.2 and similar cutting-edge architectures via tools like Ollama
  • Research, evaluate, and implement emerging AI technologies that align with our vision for smarter, more intuitive products and services
  • Collaborate with internal stakeholders and fellow engineers to rapidly prototype and iterate on machine learning and LLM-based features
  • Contribute to a modern AI development stack, ensuring scalability, performance, and ethical usage of models
  • Actively participate in the open-source ecosystem and bring relevant tools and techniques back to the team
What we offer
What we offer
  • Fair compensation and generous benefits
  • Commitment to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status
  • Reasonable accommodation for individuals with disabilities
  • Fulltime
Read More
Arrow Right

Software Engineer (Backend), Enterprise

At Scale AI, we’re not just building AI tools—we’re pioneering the next era of e...
Location
Location
Hungary , Budapest
Salary
Salary:
Not provided
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability
  • Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS
  • Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform
  • Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications
  • Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production
  • Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments
  • Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments
  • Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale
Job Responsibility
Job Responsibility
  • Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure
  • Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption
  • Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads
  • Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments
  • Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments
  • Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks
  • Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready
  • Fulltime
Read More
Arrow Right

Principal Software Engineer

Microsoft’s Azure Data engineering team is leading the transformation of analyti...
Location
Location
United States , Multiple Locations
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Design and lead the development of core AI capabilities in PostgreSQL including vector indexing, approximate nearest neighbor search, semantic query operators, and graph-native features
  • Architect in-database support for embedding pipelines and model integration to enable retrieval, reasoning, and inference
  • Lead system-level design efforts that span the PostgreSQL engine, extension frameworks, storage abstractions, and control plane surfaces
  • Collaborate with product managers, applied AI researchers, and platform teams to define use cases and translate them into scalable and intuitive capabilities
  • Contribute to production-grade implementation of complex systems, ensuring performance, reliability, and operability
  • Set technical direction and engineering quality standards through code and design reviews, prototyping, and mentorship
  • Act as a technical connector across teams, driving alignment on design, extensibility patterns, and developer experience
  • Stay current on trends in vector databases, graph systems, and AI workloads, applying academic and open-source innovation to real-world engineering
  • Embody our culture and values
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, Backend

Location
Location
United States , Philadelphia
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of professional software engineering experience
  • Strong proficiency in Python 3.10+, writing idiomatic, well‑structured code
  • Deep experience with FastAPI or similar async web frameworks
  • Solid understanding of relational databases (PostgreSQL preferred), ORM patterns, and schema migration tools
  • Experience working with large‑scale datasets and maintaining strong data integrity
  • Working knowledge of concurrency, distributed execution, and async processing models
  • Hands‑on experience with AWS services, containerization, and CI/CD pipelines
  • Strong communication skills and experience working in Agile environments
Job Responsibility
Job Responsibility
  • Design, build, and maintain backend services and data pipelines that ingest, normalize, and analyze large volumes of cloud and security data
  • Write production‑quality Python code using established architectural patterns, testing practices, and documentation standards
  • Design and own medium‑complexity systems, including data models, API contracts, orchestration logic, and integrations
  • Leverage AI coding agents daily to accelerate development while maintaining code quality and architectural consistency
  • Craft structured prompts aligned with project conventions and critically evaluate AI‑generated output for correctness, security, and maintainability
  • Apply judgment to determine when to hand‑code versus delegate tasks to AI agents
  • Build and maintain services running on AWS, including containerized workloads and supporting cloud services
  • Implement resilient, long‑running processes with robust retry logic, progress tracking, and failure handling
  • Contribute to Infrastructure as Code and CI/CD pipelines supporting multi‑environment deployments and security scanning
  • Conduct thorough code reviews evaluating design intent, correctness, security, and long‑term sustainability
What we offer
What we offer
  • Access to top jobs, competitive compensation and benefits, and free online training
  • Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance
  • Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan
Read More
Arrow Right

Software Engineer, Enterprise

At Scale AI, we’re not just building AI tools—we’re pioneering the next era of e...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability
  • Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS
  • Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform
  • Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications
  • Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production
  • Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments
  • Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments
  • Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale
Job Responsibility
Job Responsibility
  • Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure
  • Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption
  • Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads
  • Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments
  • Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments
  • Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks
  • Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready
Read More
Arrow Right

Software Engineer, Backend

You'll build and scale the backend systems that power millions users creating co...
Location
Location
United States , San Francisco
Salary
Salary:
180000.00 - 275000.00 USD / Year
gamma.app Logo
Gamma
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years building production backend systems with strong fundamentals in distributed systems, databases, and API design
  • Deep proficiency in TypeScript/Node.js or similar backend languages, with eagerness to work in our TypeScript stack
  • Experience scaling systems to handle millions of users and high throughput workloads
  • Strong understanding of PostgreSQL, Redis, or similar database technologies
  • Passion for building APIs, scaling complex systems, and creating excellent web applications
Job Responsibility
Job Responsibility
  • Scale backend systems to hundreds of millions of users while maintaining high performance and availability
  • Build and optimize APIs that power real-time collaborative editing and AI content generation
  • Design and implement distributed systems that handle massive scale with reliability
  • Ship features across the full stack, working closely with frontend engineers to deliver polished experiences
  • Architect solutions for complex technical challenges in areas like data consistency, caching, and query optimization
  • Collaborate with product and design to turn ideas into production-ready features
What we offer
What we offer
  • competitive equity
  • Fulltime
Read More
Arrow Right