dynamodb jobs in San Diego

Staff-level backend engineer responsible for designing and maintaining statistical capacity models that forecast infrastructure resource needs (CPU, memory, connections, ElasticCache, DynamoDB, AuroraDB) to support traffic demands during peak sales events. Sets technical strategy for the team, collaborates across product and analytics to ensure system sustainability, owns operational excellence including monitoring and on-call processes, and establishes code review and design standards.…See more Requires 8+ years building highly available distributed systems at scale using Python or Kotlin, AWS, MySQL, Spark, and Kubernetes, with proven experience scaling systems for major sales events like Prime Day and Black Friday.

Senior Data Engineer at Sony to design, build, and maintain scalable data pipelines, dashboards, and reporting solutions supporting PlayStation's payments, subscription, and fraud-prevention systems. Will develop AI-ready data products for analytics, automation, and machine-learning workflows in close partnership with data scientists, analysts, and global payments stakeholders.…See more Requires 7+ years in data engineering or related software/systems work, strong SQL and data modeling, proficiency in Python/Java/scripting languages, and experience operationalizing data for ML and governance. Will mentor team members, communicate technical architectures to executives, and drive platform reliability and security.

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.

Senior Data Engineer responsible for designing and implementing cloud data platforms (Databricks, Snowflake, BigQuery) and enterprise-scale data warehouses using Medallion Architecture. Will develop scalable ETL pipelines, optimize Spark jobs, integrate ML models into data workflows, and implement data governance and lineage tracking.…See more The role requires hands-on expertise in Python, PySpark, SQL, and AWS services, plus experience with AI/ML integration, DevOps practices (Terraform, CI/CD), and mentoring junior engineers and analysts.

Software Engineer II responsible for operating and improving large-scale SQL, NoSQL, streaming, and caching platforms (Cassandra, Aurora, Aerospike, Kafka, Redis, DynamoDB, ElastiCache) with a focus on reliability, automation, and observability. Build self-service developer experiences using Terraform and infrastructure-as-code, participate in on-call incident response, and develop APIs and automated tests for infrastructure tooling.…See more Requires 3+ years in software engineering, database reliability engineering, SRE, or platform engineering, with hands-on Go experience, Terraform proficiency, AWS/GCP knowledge, and Kubernetes familiarity.

Software Engineer II responsible for operating and improving large-scale data platforms (SQL, NoSQL, streaming, caching) with a focus on reliability, automation, and self-service infrastructure. The role involves building observability tooling, participating in on-call incident response, troubleshooting database and infrastructure issues, and collaborating across teams to deliver reliable stateful services.…See more Required skills include Go, Terraform, API design, Kubernetes, and hands-on experience with databases like Cassandra, Aurora, Kafka, Redis, and DynamoDB on AWS or GCP.

Software Engineer II responsible for operating and improving large-scale data platforms (SQL, NoSQL, streaming, caching) with a focus on reliability, automation, and developer experience. The role involves building self-service infrastructure tooling, contributing to observability and SLO definitions, participating in on-call rotations, and automating infrastructure provisioning using Terraform.…See more Requires 3+ years of software or infrastructure engineering experience, production Go development, hands-on Terraform expertise, and deep knowledge of distributed systems concepts and operational practices.

The Site Reliability Engineer owns the reliability, scalability, and operational readiness of production services running on AWS and Kubernetes. Responsibilities include designing highly available infrastructure with Terraform and managed AWS services, building CI/CD pipelines with GitHub Actions and Argo CD, defining SLOs and implementing observability with Prometheus and Grafana, leading incident response, and automating operational work with Python, Go, or Bash.…See more The role requires 3–8 years of hands-on SRE or DevOps experience, production Kubernetes expertise, strong AWS and infrastructure-as-code knowledge, and proficiency with observability and deployment strategies.

Software Engineering Intern III position for Summer 2027 at BAE Systems, supporting defense and aerospace projects. Interns will work alongside experienced engineers on impactful projects using modern full-stack technologies including React/Angular, AWS/Azure/Kubernetes, Spring, and various databases (SQL and NoSQL).…See more The role requires proficiency in Java, C++, C#, Python, or JavaScript, strong fundamentals in data structures and object-oriented programming, and a drive to learn. Participation in BAE Systems' LEAP Internship Program includes career development, mentorship, and networking opportunities.

Cloud Security Engineer III responsible for designing, implementing, and maintaining security controls across the company's infrastructure with a focus on AI/ML platforms. The role involves monitoring AI/ML systems for anomalous behavior, identifying and remediating vulnerabilities in ML pipelines, and collaborating with data scientists to implement secure AI/ML solutions.…See more Requires 8+ years of security engineering experience, 3-5 years of AWS cloud security expertise, AWS Security Certification, and foundational knowledge of ML lifecycle and AI/ML security concepts.

Senior Software Engineer role at CoStar focused on designing and building production applications using C# and .NET on AWS cloud infrastructure. The position emphasizes leveraging Claude AI for code generation, refactoring, and analysis, while building and operating scalable, cloud-native solutions.…See more Requires strong AWS hands-on experience (EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudWatch), API and backend service development, and solid software design principles. Preferred qualifications include Databricks experience, microservices/distributed systems knowledge, CI/CD and DevOps practices, and Infrastructure-as-Code tools like Terraform and CloudFormation.

CoStar seeks a Senior Software Engineer to design and build production applications using C# and .NET on AWS, with hands-on experience leveraging Claude for AI-assisted development. The role focuses on building scalable, cloud-native solutions and involves building APIs, backend services, system design, code reviews, and mentoring.…See more Required skills include strong C# and .NET expertise, hands-on AWS experience (EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudWatch), Git workflows, and software design principles. Preferred qualifications include practical Claude experience, Databricks, microservices, CI/CD pipelines, and infrastructure-as-code tools like Terraform or CloudFormation.

Python developer role focused on building and maintaining serverless AWS applications using Lambda, S3, and DynamoDB, with responsibilities spanning infrastructure automation, security (IAM, credential rotation), monitoring (CloudWatch, Splunk), and test automation using BDD frameworks. Requires 2 years of Python/Django development experience, 2 years as a software engineer or consultant, and familiarity with Social Capital Report Platform maintenance.…See more The role involves cross-regional failover implementation, legacy codebase refactoring, and API quality assurance across multiple environments.

AI Architect role requires designing and delivering enterprise-scale AI/ML solutions on AWS, with 5–7 years of cloud experience and 2–3 years hands-on with LLMs, agentic frameworks, and AI/ML services. The position demands deep expertise in AWS AI services (Bedrock, SageMaker, Kendra), orchestration frameworks (LangChain, LangGraph), RAG pipelines, MLOps tooling, and responsible AI principles.…See more Candidates must architect scalable, cost-optimized solutions integrating AI with cloud infrastructure, data platforms, and microservices, and communicate complex technical concepts to executive and technical audiences.

The Backend Engineer will design, develop, and scale core backend services and APIs for high-throughput applications using Node.js, Python, or Go. Responsibilities include architecting relational and NoSQL databases for high availability, building data pipelines and asynchronous processing systems, and deploying cloud infrastructure on AWS with Docker, Kubernetes, and Terraform.…See more The role requires 3–6 years of experience building distributed systems at scale, with deep expertise in database design, caching strategies, and cloud platforms. You'll also own monitoring, performance optimization, and comprehensive testing across unit, integration, and end-to-end scenarios.

The AI Architect II is a senior technical leadership role responsible for establishing architectural standards and patterns for AI solutions, including RAG pipelines, agentic workflows, and model serving. The role involves designing scalable AWS cloud architectures, defining MLOps practices, implementing responsible AI governance, and translating business requirements into enterprise AI and cloud strategies.…See more The position requires hands-on technical expertise to evaluate and integrate AI/ML services, lead systems design across microservices and event-driven architectures, and mentor engineering teams on cloud and AI best practices. This role drives technology decisions with real business impact while modernizing the company's platform through cloud-native and AI transformation initiatives.

Design and implement Infrastructure as Code to automate provisioning, monitoring, and lifecycle management of NoSQL, Streaming, and Caching platforms (Cassandra, Aerospike, Kafka, Redis) across AWS and GCP. Build highly available, self-healing systems with automated failover and scaling, develop comprehensive observability solutions, and lead incident response for critical data platform issues.…See more Drive automation-first practices and apply AI/ML approaches such as anomaly detection and predictive scaling to enhance reliability and reduce manual toil. Partner with engineering and platform teams to ensure resilient infrastructure supporting billions of transactions and millions of players globally.

Own and deliver small to medium machine learning system components from design through production deployment, including building data pipelines, training and evaluating models, and implementing MLOps monitoring. Write high-quality Python code to translate technical requirements into maintainable solutions, working with frameworks like scikit-learn, TensorFlow, PyTorch, and HuggingFace.…See more Design and deploy ML models as microservices, APIs, batch jobs, or streaming components on AWS, with responsibility for model performance metrics, data drift detection, and retraining triggers. Collaborate across Data Engineers, Software Engineers, Data Scientists, and product stakeholders to deliver project objectives.

BAE Systems seeks a Software Engineering Intern III for Summer 2027 to develop new code, resolve critical problems, and improve system stability within the Electronic Systems division. The intern will work alongside experienced engineers on real-world aerospace and defense projects, gaining hands-on experience with modern software architectures, frameworks, and databases.…See more Required skills include proficiency in Java, C++, C#, Python, or JavaScript, along with knowledge of data structures and object-oriented programming. The role offers exposure to cloud platforms (AWS, Azure), containerization (Kubernetes, Docker), frontend frameworks (React, Angular), backend tools (Spring, Gradle), and various databases (SQL, NoSQL).