aws-s3 jobs in San Diego

This role blends data science expertise with hands-on automation engineering to design and deploy intelligent process automation solutions across business units. You will build, train, and validate both classical ML and LLM-based models — including fine-tuning and RAG — and architect end-to-end systems connecting CRM, APIs, and AI services on AWS infrastructure.…See more Responsibilities span solution design, CI/CD implementation with Jenkins, Python development, agentic AI capabilities, and business translation, with emphasis on measurable business outcomes and compliance.

This role combines Business Intelligence development with Navy ERP (SAP) functional expertise to design and sustain reporting solutions, dashboards, and automated data pipelines for Navy financial operations. The developer will use Databricks, Qlik, Tableau, SQL, Spark, and Python to build analytics tools and data models while applying deep functional knowledge of SAP modules (FM, FI, CO, PS, MM, WM, SD, WFM) and financial business rules.…See more Responsibilities include developing executive dashboards, creating automated data delivery workflows via AWS S3 and email, integrating data from multiple systems (Jupiter, Navy ERP, Oracle), and supporting user acceptance testing and stakeholder training. The role requires hands-on BI development, SAP functional analysis, application development using NetWeaver and ABAP, and collaboration across functional teams to ensure data quality and audit compliance.

Incedo seeks a .NET Architect with 12–18 years of IT experience to lead enterprise-scale digital banking solutions on AWS. The role requires designing cloud-native, microservices-based architectures using .NET Core/.NET 6+, establishing architecture standards, conducting code and design reviews, and ensuring compliance with banking regulations.…See more The candidate must hold an AWS Solutions Architect certification, mentor engineering teams, and drive CI/CD, DevOps, and observability best practices across mission-critical applications.

This Technical Lead role focuses on architecting, developing, and deploying production-grade Agentic AI solutions on AWS using .NET/C#. The ideal candidate will have hands-on expertise in LLMs, generative AI, RAG, prompt engineering, and agent frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen), combined with strong .NET enterprise development and AWS cloud-native skills.…See more Responsibilities include taking AI solutions from POC to production, designing microservices and REST APIs, and ensuring AI evaluation, monitoring, observability, and governance. Technical leadership, stakeholder management, and system design fundamentals are essential.

Principal AI Platform Engineer leading enterprise AI infrastructure strategy and governance at the platform boundary. Responsible for implementing and maintaining Bedrock Guardrails and Microsoft Purview DLP controls, managing AI vendor relationships with Microsoft and AWS, producing governance artifacts and runbooks, and leading internal AI adoption through community building and enablement.…See more Requires 7–10 years of cloud/DevOps experience with hands-on production expertise in AWS Bedrock (Agents, Knowledge Bases, Guardrails) and Microsoft 365 Copilot deployment in enterprise environments, including data integration, RAG architecture, and AI security controls.

Software engineer supporting mission-critical DoD systems in secure, containerized environments. Responsibilities include Linux (Red Hat) system administration, container orchestration (Docker, Kubernetes, OpenShift), AWS infrastructure management, PKI administration, and infrastructure automation using Ansible and scripting.…See more The role requires 8+ years in DoD systems engineering, active TS/SCI clearance, DoD 8570 IAT Level II certification, and willingness to travel for shipboard deployments (~10% annually). May lead small teams and mentor junior engineers.

The Applied AI Engineer develops, deploys, and maintains generative AI solutions for insurance products and customer experiences. Responsibilities include implementing end-to-end AI/ML pipelines using AWS services (SageMaker, Lambda, ECS/EKS), feature engineering with Snowflake, model fine-tuning and testing, and monitoring production performance.…See more The role requires 3+ years of AI/ML experience with 1–2 years in generative AI or LLMs, hands-on cloud deployment experience, and proficiency in Python, PyTorch, TensorFlow, or Hugging Face Transformers.

Principal Software Engineer role focused on designing highly complex enterprise-level web applications with deep expertise in microservices, serverless architectures, and cloud platforms. The engineer will serve as an architectural subject matter expert, providing guidance on system design, performance, scalability, and security across multiple teams at CoStar.…See more Requires 10+ years of hands-on experience with expert-level proficiency in C#, Java, Python, or JavaScript/TypeScript, plus significant hands-on experience designing and implementing AWS solutions. Responsibilities include creating architectural documentation, mentoring technical staff, staying current with emerging technologies, and advocating for security and observability best practices.

This Data Engineer II role focuses on data operations and infrastructure, supporting the transition of data systems from development to production. The engineer will administer data lakehouse/warehouse platforms (Snowflake, Databricks, Redshift, BigQuery, Azure Synapse), manage RBAC and user governance, monitor and troubleshoot data pipelines, and contribute to data governance and quality best practices.…See more Key responsibilities include orchestration tool administration (Apache Airflow, dbt), observability framework development, incident management, and hands-on SQL and Python work to maintain and optimize production data systems.

Cloud Engineer III responsible for designing, deploying, and sustaining secure cloud solutions across AWS, Azure, AWS GovCloud, and Azure Government environments. The role requires expertise in cloud architecture, Infrastructure as Code, DevSecOps, containerization, and Kubernetes, with a focus on mission-critical defense applications.…See more Candidates must demonstrate strong cloud networking, identity, storage, compute, and security capabilities, and communicate technical decisions to cross-functional teams including engineers, operators, cybersecurity personnel, and government stakeholders.

Sr. Site Reliability Engineer responsible for building and improving observability infrastructure, monitoring systems, and reliability patterns across AppFolio's Real Estate Platform.…See more You'll work with engineering teams to implement SLIs/SLOs, diagnose performance issues across the full stack, and manage infrastructure-as-code deployments on Kubernetes and AWS. Strong coding skills (Go, Ruby, or Python) and 5+ years of industry experience required; you'll be on-call and expected to help teams become self-sufficient in reliability practices.

Lead the design, deployment, and governance of an enterprise AI platform integrating AWS Bedrock, Microsoft 365 Copilot, and structured/unstructured data sources. Act as the primary technical authority for AI infrastructure, RAG architecture, security controls, and AI adoption across business units, with responsibility for platform budget, vendor contracts, and internal capability building through mentoring and community-of-practice leadership.…See more Requires hands-on production experience with Bedrock (Agents, Knowledge Bases, Guardrails), M365 Copilot enterprise deployment, and proven ability to operate as a solo platform owner in a matrixed organization without direct reports.

The Applied AI Engineer develops, deploys, and maintains generative AI solutions for insurance products and internal workflows. The role involves implementing end-to-end AI pipelines using AWS services (SageMaker, Lambda, ECS/EKS, S3), building feature engineering workflows in Snowflake, and collaborating with cloud and MLOps teams.…See more Candidates need 3+ years of AI/ML engineering experience with 1–2 years focused on generative AI or LLMs, proficiency in Python and frameworks like PyTorch or Hugging Face Transformers, and hands-on cloud deployment experience. The position requires monitoring model performance, ensuring security and compliance, and supporting AI architecture reviews.

Design, develop, customize, and maintain websites built on the .NET framework in an AWS cloud environment. Gather requirements from users, write unit and integration tests, troubleshoot system-level issues independently, and create technical documentation.…See more Requires 3+ years of web development experience with .NET, C#, JavaScript, WebAPI.NET, HTML, CSS, GitHub, IIS, SQL/MySQL, and AWS services including Glue Jobs and S3.