aws jobs in San Diego

Lead the design, delivery, and operationalization of enterprise SOAR (Security Orchestration, Automation and Response) solutions for clients, managing technical teams and complex workstreams. Architect security automation integrations across SIEM, EDR/XDR, IAM, cloud, and other enterprise platforms using Python, PowerShell, JavaScript, and REST APIs.…See more Drive SOC process improvements, incident response automation, and governance of production workflows while translating operational requirements into scalable target-state architectures and business cases. Mentor teams, manage client-facing engagements, and communicate technical recommendations to senior stakeholders in a consulting environment.

Senior Full Stack Java Engineer responsible for designing and building microservices for workforce management (forecasting, scheduling, adherence, reporting) using Java/Spring Boot and REST APIs, while developing responsive TypeScript/React frontends. The role requires integrating WFM capabilities with ACD, HR, payroll, and enterprise platforms; modeling complex workforce data in PostgreSQL; containerizing services for cloud deployment; and maintaining CI/CD pipelines with Jenkins.…See more Requires 8+ years of full-stack experience, strong domain knowledge of workforce planning concepts, and proven ability to work with business rules engines, scheduling algorithms, and distributed event-driven architectures.

Entry-level data engineer role focused on designing, developing, testing, and maintaining database solutions while working with large datasets. Candidates will support ETL development, data analysis, and reporting to drive business decisions.…See more The role requires strong SQL proficiency, knowledge of relational databases (SQL Server, Oracle, MySQL, PostgreSQL), and understanding of database design, normalization, and data quality principles. Experience with version control, analytical problem-solving, and familiarity with ETL tools, cloud platforms, or visualization tools is preferred.

Senior ServiceNow ITOM Architect responsible for designing and implementing enterprise-scale ServiceNow IT Operations Management solutions. The role requires deep expertise in ServiceNow platform components (JavaScript, Flow Designer, IntegrationHub, APIs, Workspace, UI Builder, scoped applications, Reporting/Performance Analytics) and CMDB/CSDM data models.…See more You will integrate ServiceNow ITOM with monitoring platforms (Splunk, Datadog, SolarWinds, Dynatrace), public cloud providers (AWS, Azure, GCP), Kubernetes, and network management tools, while leading executive stakeholder discussions and developing business cases for technology initiatives.

Seeking a Senior .NET Full-Stack Developer with 7+ years of hands-on experience across .NET technologies (C#, .NET Core, ASP.NET MVC, Web API, Entity Framework) and 5+ years of modern front-end development (Angular, React, or Vue.js). The role requires expertise in cloud platforms (Azure, AWS, or GCP), integration technologies (RESTful APIs, SOAP, microservices, message queues), and databases (SQL Server, MySQL, PostgreSQL, NoSQL).…See more This is a full-time, on-site position in San Diego focused on enterprise-level full-stack application development and deployment.

Design, develop, and maintain scalable full-stack enterprise applications using Angular, Java Spring Boot, and AWS cloud services. Responsibilities include building responsive front-end UIs, RESTful/SOAP APIs, database schemas, CI/CD pipelines, and supporting application modernization efforts in an Agile environment.…See more Requires 8+ years of enterprise IT experience with hands-on expertise across front-end frameworks, back-end services, SQL/NoSQL databases, and DevOps tooling.

Fuse seeks an experienced early-career DevOps Engineer to design, build, and maintain mission-critical software deployment pipelines and infrastructure. You will own Jenkins and GitLab CI/CD pipelines, container orchestration (Podman/Docker), cloud tooling (AWS/Azure), and development tooling (SonarQube, Nexus, Ansible).…See more Responsibilities include performing code reviews, managing builds and deployments, troubleshooting integration issues, enforcing development processes, and recommending emerging DevOps tooling. The role requires 2–6 years of DevOps experience, 2+ years of hands-on C++, strong Linux knowledge, CI/CD pipeline expertise, and the ability to obtain a US Secret clearance.

Build and ship agent-based AI verification workflows from proof-of-concept to production, designing test cases for non-deterministic agent behavior and hardening code for quality, observability, and cost. Own your slice of the SDLC—implementation, testing, deployment—while building data ingestion pipelines on AWS and collaborating with Product and senior engineers to translate business requirements into features.…See more Requires 2–4 years of software engineering experience, strong Python or backend language skills, SQL/NoSQL knowledge, and hands-on experience building LLM-based projects that call tools, chain steps, or coordinate multiple operations.

Build and ship agentic AI capabilities (e.g., Vertex AI-based Discovery Agents) from design through production, owning the full software development lifecycle, implementation, testing, and deployment. Harden proof-of-concept agent code into production-grade quality with strong error handling, observability, and testing.…See more Design test cases and evaluation checks for non-deterministic agent behavior, and build data ingestion pipelines using AWS and big-data tooling. Contribute to production support including monitoring, alerting, and incident response for an AI-driven service.

Associate VP Network Engineer at Deloitte leading enterprise network design, deployment, and modernization across campus, data center, and hybrid cloud environments. Requires 10+ years of enterprise networking (Layer 2–7 protocols, BGP, OSPF, firewalls, load balancers) and 8+ years of consulting/systems integration experience, with proven ability to own full engagement delivery, manage P&L, lead technical teams, and build executive client relationships.…See more Preferred qualifications include network certifications (CCIE, CCNP), hands-on design/implementation expertise, cloud connectivity strategy, SD-WAN/SDN/Zero Trust architecture, network automation (CI/CD, Ansible, Terraform), and advisory experience on technology strategy and legacy-to-modern migrations.

Advanced manager and technical consultant designing and implementing enterprise-scale AI solutions spanning classical ML, generative AI, and agentic AI systems. Responsibilities include architecting AI-powered applications for business transformation (customer service, supply chain, finance, HR, operations), building RAG and autonomous agent workflows, developing ML pipelines, and establishing governance and observability frameworks.…See more Requires 8+ years in AI/ML/data science with 5+ years hands-on experience with Claude, GPT, LLMs, agentic frameworks, and RAG systems, plus deep expertise in prompt engineering, vector databases, and multi-agent architectures.

Lead a full-stack engineering team building AI/ML products at Accenture's QuantAI practice, bridging research algorithms into production systems for trading, investment, and optimization use cases. You will manage engineers across frontend, backend, and ML infrastructure; define quality standards and evaluation frameworks; coach team members; and collaborate with quants and client teams to ship end-to-end products.…See more The role requires 5+ years of shipped software experience, 2+ years of hands-on full-stack depth (frontend, backend, databases, deployment, debugging), and ideally deep experience designing LLM/agentic systems or working in high-stakes decision-support domains.

Senior full-stack .NET developer role requiring 7+ years of hands-on experience with C#, .NET Core, ASP.NET MVC, Web API, and Entity Framework, plus 5+ years of modern front-end development with Angular, React, or Vue.js. The role demands expertise in cloud platforms (Azure, AWS, GCP), integration technologies (REST APIs, SOAP, microservices, message queues), and containerization (Docker, Kubernetes).…See more Responsibilities include full-stack development, cloud-based application deployment, CI/CD pipeline work, and enterprise-level system integrations on an on-site basis in San Diego.

Serve as a forward-deployed technical engineer for banking clients, acting as the primary technical point of contact and architect advisor. Design and prototype scalable microservices and cloud-native solutions, conduct discovery sessions and deep-dive technical workshops, and build production-ready POCs that demonstrate platform value.…See more Translate complex architectures and emerging AI/ML patterns into clear guidance for both technical and non-technical stakeholders, while gathering customer feedback to inform product strategy. Requires 5+ years of software engineering with significant client-facing experience, deep expertise in Java, Spring Boot, microservices architecture, multi-cloud deployment (AWS primary), Kafka-based event-driven systems, and hands-on knowledge of LLM integration and agentic AI frameworks.

Senior DevSecOps Engineer supporting U.S. Navy modernization efforts to build, test, and deploy microservices on container orchestration platforms.…See more You will design and maintain CI/CD pipelines, automate infrastructure, support containerized platforms in secure environments, and collaborate with software and cyber engineers to solve delivery problems. Requires 8+ years of experience (or 6+ with master's degree), strong Kubernetes expertise, Secret clearance or ability to obtain one, CompTIA Security+ certification, and 5+ years with containerization, orchestration, CI/CD tools, infrastructure-as-code, Linux systems, and scripting.

Lead a client-facing solutions engineering role focused on data products and AI/ML integration within financial services. You'll conduct discovery sessions, translate complex architectures into clear narratives, and work hands-on with implementation teams to structure, configure, and publish data products using SQL, Python, and cloud platforms.…See more You'll enable client teams to self-serve data product creation, run training and office hours, and surface product gaps and feature requests back to internal teams while managing multiple concurrent client engagements.

Lead data engineering and governance initiatives for enterprise clients, architecting AI-integrated data fabric solutions on cloud platforms like Snowflake, Databricks, and Azure Synapse. Design and deliver ETL/ELT pipelines, data integration strategies, streaming architectures, and metadata governance frameworks.…See more Requires 5+ years in data architecture, enterprise data engineering, or AI platform delivery, with hands-on expertise in cloud data platforms, data modeling, API/streaming design, and enterprise system integration (especially Salesforce). Contribute thought leadership and drive client engagements around enterprise data strategy and AI-ready platforms.

As Production Support Lead for ClaimBeacon, a Deloitte AI-powered claims platform integrated with Guidewire, you'll own L3 production support — reproducing and resolving application bugs, data pipeline failures, AI agent issues, and small enhancements. You'll troubleshoot across the full stack (Java, Python, Flutter, AWS), use logs and monitoring to find root cause, ensure data and AI governance compliance, and decide when to escalate versus fix directly.…See more The role demands 5+ years of production support or software engineering experience, with proven end-to-end ownership of live issues, and strong exposure to agentic AI, DevOps, SQL, and insurance platforms like Guidewire.

Lead Forward Deployed Engineer responsible for architecting and delivering LLM-enabled applications (copilots, agentic workflows, assistants) using enterprise AI platforms like Claude, Gemini, or GPT-4o. Drive end-to-end RAG pipeline design, prompt engineering, evaluation frameworks, and data foundations while mentoring junior engineers and enforcing delivery standards across multi-pod engagements.…See more Require 7+ years software/data engineering experience, 1+ year hands-on GenAI/LLM production deployment, and proven ability to lead project workstreams and translate business problems into AI solutions.

As a Senior Consultant, you will design, configure, and build Amazon Connect contact center solutions, translating client requirements into contact flows, routing logic, IVR systems, and integrations with AWS services and enterprise platforms like Salesforce and ServiceNow. You'll lead technical workstreams end-to-end, manage onshore/offshore development teams, own delivery from design through deployment, and support testing, releases, and post-go-live stabilization.…See more The role requires 6+ years of IT/software delivery experience, including 3+ years of hands-on Amazon Connect implementations and 2+ years leading technical teams with accountability for scope, quality, and timelines.

As a Technical Manager, you will lead the architecture, engineering, and delivery of AWS-based cloud contact center and Generative AI solutions. You'll design scalable solutions using Amazon Connect, Lex, Bedrock, Lambda, and other AWS services, incorporating AI patterns like RAG and agent/tool calling.…See more You'll translate client requirements into technical architectures and integration designs, partnering with stakeholders from design through implementation, testing, deployment, and production support. This role requires 8+ years in technology consulting or cloud architecture, including 4+ years deploying production AWS solutions and designing cloud contact center platforms with Generative AI capabilities.

Design, build, and deploy production agentic AI solutions powered by Claude for enterprise clients, from proof-of-concept through production. Implement multi-agent systems that automate business processes, integrate with enterprise tools, and operate within defined autonomy and guardrails.…See more Modernize existing AI/ML platforms with generative AI capabilities including RAG and agent-based orchestration. Advise clients on generative AI adoption strategy, responsible AI practices, and model selection while partnering with technology, data, and business stakeholders to scope and deliver solutions.

Lead a team of consultants building production AI/ML applications for cybersecurity, with hands-on responsibility for architecture, code review, and integration across SIEM, SOAR, EDR, and other security platforms. Own technical delivery, timelines, and budgets while mentoring engineers and staying engaged in pair programming and troubleshooting.…See more Work with frontier LLM providers to evaluate agentic systems, RAG pipelines, tool-calling agents, and evaluation harnesses for threat detection and incident response automation. Partner with client stakeholders to translate cyber capabilities into engineering requirements and support account growth through proposals, demos, and reusable delivery playbooks.

Build and deploy AI/ML solutions for cybersecurity as a senior consulting engineer at EY. You will design frontier AI models, LLMs, and agentic architectures tailored to client security workflows, integrating them with SIEM, SOAR, EDR, and other security platforms.…See more You'll translate client use cases into engineering tasks, develop evaluation harnesses, build secure AI deployment pipelines, and deliver production-ready solutions with clear documentation and testing. The role requires 3–5 years of hands-on software engineering experience, proficiency in Python and cloud platforms (AWS/Azure/GCP), and demonstrated expertise in building or deploying AI/ML systems within security contexts.