apache-kafka jobs in San Diego

Senior Forward Deployed Engineer responsible for deploying, configuring, and troubleshooting complex cloud-native systems in secure, production Government environments. You will serve as the technical bridge between operational edge teams and core development, translating operational needs into clear requirements while diagnosing complex application, networking, and data synchronization issues.…See more You must hold an active TS/SCI clearance and have 5+ years of platform engineering, DevOps, or SRE experience with demonstrated expertise in AWS GovCloud, container orchestration, CI/CD pipelines, and infrastructure-as-code in FedRAMP-authorized environments at IL4/IL5/IL6. You will lead customer discovery sessions, coordinate escalations with software engineering, and communicate technical constraints and remediation plans to both customers and Program Management.

As a Sr Consultant in GCP Cloud Analytics, you will design and implement end-to-end cloud analytics architectures on Google Cloud Platform, supporting clients through full lifecycle data solutions including ingestion, transformation, governance, and analytics enablement. You'll develop optimized cloud-based data solutions using structured and unstructured sources, lead portions of complex technology engagements, and coordinate delivery across geographically distributed teams.…See more The role requires 5+ years of technology consulting or industry experience with GCP, 1+ full lifecycle GCP implementation, 2+ years of SQL and Python, and the ability to lead workstreams with multi-location resources.

Full-stack developer role supporting financial services clients in modernizing systems through distributed software applications. Responsibilities include analyzing business requirements, designing, developing, integrating, testing, and deploying cloud-native and microservices-based solutions across the entire project lifecycle using modern back-end (Java, Python, Node.js) and front-end (React, Angular) technologies.…See more Must demonstrate hands-on capabilities in REST APIs, CI/CD pipelines, cloud platforms (AWS, Azure), containerization, and agile/TDD methodologies, with willingness to travel up to 50%.

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.

Design and develop enterprise-scale routing engines that distribute voice and digital interactions in real time using Java, Spring Boot, and cloud-native technologies. Implement intelligent routing algorithms, optimize for high concurrency and fault tolerance, and design APIs supporting routing configuration and integration.…See more Lead technical architecture decisions, establish engineering standards, and collaborate with product, workforce management, and CX platform teams to translate business requirements into distributed system components.

Sr Staff Software Engineer leading architecture and design across ServiceNow's data fabric platform, including Trino connectors, Kafka streaming, ETL pipelines, and data quality. Requires 12+ years building and operating large-scale distributed systems, deep expertise in query processing, data integration, CDC, streaming pipelines, and Kubernetes-based multi-tenant SaaS.…See more Responsibilities include writing production code, leading cross-team technical reviews, defining performance and scalability strategy, and serving as senior escalation point for complex production issues. Must demonstrate strong hands-on coding in Java, Go, C++, or Scala, with proven track record of leading architecture across multiple teams and influencing without authority.

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.

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.

Design and implement secure, scalable Google SecOps architectures for SIEM and SOAR deployments aligned with enterprise security policies and regulatory requirements (GDPR, PCI DSS). Lead log ingestion pipelines using data fabric technologies, develop threat detection content, translate security operations into automated SOAR playbooks, and mentor junior team members.…See more Requires 7+ years in security operations or threat detection engineering, hands-on experience with Google Chronicle/Siemplify, Python automation, Logstash/Gostash, ETL technologies (Cribl, Bindplane, Kafka), and familiarity with security frameworks like MITRE ATT&CK.

The Software Test Engineer will design, build, test, and deliver integrated software solutions for complex, mission-critical DoD systems. Responsibilities include testing software across mission systems, gathering requirements, developing test plans, and building/maintaining CI/CD pipelines for containerized deployments.…See more The role requires 3+ years of experience with version control, programming languages (C++, Python, Java, JavaScript), containers (Docker/OCI), SQL/relational databases, and Linux command-line usage, plus ability to work with modern frontend frameworks and DevSecOps practices.

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.

Design, build, and maintain real-time data ingestion pipelines that reliably flow streaming data from multiple sources into a data platform while ensuring quality, observability, and scalability. Monitor data health, develop resilient pipelines with proper error-handling and backpressure strategies, and automate monitoring of real-time feeds to alert on timeliness, volume, and distribution issues.…See more Collaborate with data, platform, and software engineers to optimize pipeline configuration, perform root-cause analysis on data outages, and work with security teams on encryption and data classification. Requires 3+ years in data engineering, data operations, or DevOps roles; proficiency with Python and bash; and hands-on experience with tools like Kafka, NiFi, Spark Streaming, Snowflake, Elasticsearch, Grafana, and Prometheus.

Senior Staff Software Engineer leading design and delivery of multi-tenant, distributed data platform services on Kubernetes at scale. You will mentor mid-level and junior engineers, architect highly available stateful workloads (databases, message queues, caches), and integrate AI into infrastructure and operational workflows.…See more The role requires 8+ years building production distributed systems, deep expertise in Kubernetes and at least one hyperscaler (AWS, Azure, GCP), and hands-on experience operating services like Postgres, Kafka, or Redis at scale with explicit HA, failover, and durability targets.

As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on AI agents and platforms across the Software Development Lifecycle. You'll develop scalable, reliable systems with strong proficiency in backend technologies (Java, Go, Python), design RESTful APIs, work with SQL/NoSQL databases, and apply AI/ML technologies including agentic AI and LLMs.…See more The role requires 5+ years of experience in backend services, distributed systems, or data platform development, with hands-on expertise in Kubernetes, containerization, and cloud platforms. You will collaborate with cross-functional teams, mentor engineers, and stay current with emerging AI/ML and cloud-native technologies.

The Site Reliability Engineer owns the systems and practices that keep production services available, performant, and recoverable at scale, focusing on Kubernetes-based workloads, cloud infrastructure, observability, and incident response. The role requires designing and operating highly available infrastructure on AWS or GCP using Kubernetes, Terraform, and infrastructure-as-code; building observability across services using Prometheus, Grafana, OpenTelemetry, and centralized logging; and automating deployment, scaling, backup, and recovery workflows through CI/CD pipelines.…See more The engineer will define SLIs and SLOs, lead incident response and root-cause analysis, harden systems through access controls and disaster recovery testing, and partner with application teams to improve service design and operational readiness. The position requires 3–8 years of DevOps or platform engineering experience, hands-on Kubernetes and containerized services operation, strong Linux and networking fundamentals, proficiency with Terraform or equivalent infrastructure-as-code, observability implementation experience, and strong scripting or programming skills in Python, Go, or Bash.

Lead the design and development of an enterprise-grade payment hub and cash management platform for a wealth management client, architecting microservices, API-first, and cloud-native solutions. Drive end-to-end technical design including integrations with banking and fintech systems using middleware like PortX, ThoughtMachine, and API management platforms.…See more Provide technical leadership and mentorship to engineering teams, define architecture standards, and ensure security, scalability, and performance benchmarks across payment and treasury workflows.

Senior Data Architect with 15+ years of experience designing and implementing enterprise data platforms that support modern AI/ML and Generative AI applications. Must have strong hands-on expertise in ETL/ELT, Python, SQL, and enterprise data warehousing, with production experience in Treasure Data, real-time analytics, streaming pipelines (Apache Kafka), and AI-ready data architectures including RAG, vector databases, and LLM integrations (LangChain, LangGraph, Azure OpenAI, AWS Bedrock).…See more Will design batch and real-time enterprise data architectures on cloud platforms (AWS, Azure, GCP, Snowflake, Databricks) with CDC/Debezium incremental processing capabilities.

Staff Engineer who will design, build, and operate the Forge Platform—a distributed-systems foundation serving autonomy, ML Ops, simulation, and application teams. You will own architecture and technical standards for workflow orchestration, asynchronous processing, event-driven systems, and long-running service workflows while remaining hands-on in implementation, production troubleshooting, and reliability improvement.…See more Required: strong production experience with distributed systems, cloud-native platforms, or backend infrastructure; fluency in Go and Python; deep understanding of failure handling, consistency, fault tolerance, and state management; and ability to turn recurring infrastructure needs into reusable platform capabilities. You will work across Kubernetes, service networking, observability, and data pipelines to enable downstream teams to move faster on mission-critical systems.

Staff Engineer responsible for designing, building, and operating the Forge Platform—a distributed-systems foundation serving autonomy, ML, simulation, and test teams. You will architect cloud-native backend infrastructure, establish reusable platform capabilities, define technical standards, and remain hands-on in production troubleshooting, performance analysis, and reliability improvement.…See more Required: deep expertise in production distributed systems, Go and Python, workflow orchestration, and the ability to translate complex architecture into usable interfaces across multiple downstream teams.

This entry-level backend software engineer role involves designing, developing, and maintaining microservices and APIs for Qualcomm's Compute Sentra SaaS platform, which powers device management and IoT security. You will implement REST APIs, event listeners, and data models in object-oriented languages (Java, Kotlin, C#), work with relational databases and SQL, and deploy services to cloud environments.…See more The role includes code reviews, testing, debugging, and cross-functional collaboration with product and QA teams, with exposure to modern AI-assisted development tools.

Entry-level backend software engineer role building cloud-native microservices for Qualcomm's Compute Sentra SaaS platform, which powers device management and IoT security. You will implement REST APIs, event listeners, and data models; write tested code; participate in code reviews; and troubleshoot services in cloud environments.…See more The role emphasizes learning modern development practices, including AI-assisted coding tools, alongside experienced engineers.

Senior Software Engineer on the Pyxis ES Development team, responsible for designing and implementing scalable enterprise software solutions in microservices-based architectures. The role requires 5+ years of coding experience in languages like Python, Java, Go, C, or C++, with hands-on expertise in modern web technologies (React, Node.js, Spring, Ruby), containerization, messaging platforms (Kafka, RabbitMQ), and relational databases.…See more You will conduct software testing and evaluation, provide technical documentation, participate in design reviews, and work collaboratively with cross-functional teams in Agile environments. Strong analytical and problem-solving abilities, plus experience with cloud platforms and infrastructure-as-code tools, are essential.

Design, create, and implement production-grade AI/ML systems for Defense and Intelligence clients. You'll architect scalable machine learning solutions handling fast-moving data, deploy models across multiple data modalities using frameworks like TensorFlow and PyTorch, and integrate solutions into mission environments.…See more The role requires 2+ years of ML engineering or data science experience, proficiency with ML frameworks and programming, and hands-on work in deep learning, computer vision, NLP, or signal processing.

BAE Systems seeks entry-level software engineers (Bachelor's or Master's degree expected by June 2027, <6 months experience) to develop C4ISR and geospatial intelligence applications for defense customers. You will apply Java, OOP, and software design principles in a collaborative, agile environment.…See more The role offers mentorship, onboarding, and exposure to full-stack development, cloud platforms, DevOps, and modern software architecture as part of a structured Year One program.