Sr Full Stack EngineerKore1 • Irvine, CA, US

Sr Full Stack Engineer

Kore1 • Irvine, CA, US

[job_card.variable_days_ago]

[job_preview.job_type]

[job_card.full_time]

[job_card.job_description]

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for Sr Software Engineer in Irvine, CA

Sr Software Engineer, Innovations play a pivotal role in designing, developing, and deploying cloud-native applications that leverage the latest technologies and architectural principles.

Responsibilities

Architect, design, and develop microservices-based applications to maintain and enhance scalability.
Utilize containerization technologies to package and deploy application components consistently across various environments.
Implement and manage container orchestration for automated deployment, scaling, and operation of application services.
Collaborate with cross-functional teams to implement DevOps practices, including Continuous Integration / Continuous Deployment pipelines, infrastructure as code (IaC), and automated testing.
Architect and implement solutions that scale horizontally to meet dynamic and changing workloads while optimizing resource utilization.
Design and implement resilient and fault-tolerant applications, ensuring high availability and quick recovery from failures.
Implement robust monitoring and logging practices, leveraging tools like Prometheus and Grafana to ensure visibility into application performance.
Champion API-first design principles, creating well-defined and documented APIs to facilitate seamless communication between microservices and external systems.
Embrace and apply agile methodologies for rapid and iterative development cycles, responding quickly to changing requirements and delivering high-quality software.
Document work clearly and follow established coding standards and practices.
Mentor and guide other developers, conducting code reviews, design reviews, and fostering a culture of engineering excellence and continuous learning.
Other duties and responsibilities as assigned.

Required

Master's degree in Computer Science or related field of study from an accredited college or university. In lieu of degree, 6+ years of experience.

6+ years of experience in software development, designing, developing and deploying cloud-native applications.

Expertise in utilizing AI for increased productivity and software quality, including code generation, debugging, test automation, and log anomaly detection.

Expertise in multiple programming languages such as C#, Rust, Python, or similar, and proficiency in relevant frameworks and libraries.

Expertise in backend development and working knowledge of databases (e.g., SQL, NoSQL).

Expertise in JavaScript frameworks like Angular.js, Vue.js or React.js for building single-page applications.

Experience with scalable and resilient system design.

Experience in Enterprise software design principles : cloud native application design (i.e., SOLID, 12 Factor applications, or similar), distributed message and event processing, API gateway, service mesh, serverless applications.

Experience with event-driven architecture and real-time data processing using technologies like Kafka or RabbitMQ for building responsive, scalable systems.

Experience with integrating machine learning and AI models into software applications.

Knowledge of ISO standards such as ISO 27001 (information security), ISO 9001 (quality management), or related frameworks.

Strong knowledge of microservices security, including OAuth 2.0, OpenID Connect, secrets management, zero-trust architecture, and secure API design.

Preferred

Knowledge in Python and relevant libraries / frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, and LangChain.

Hands-on experience with GenAI and LLMs, including fine-tuning, prompt engineering, and deploying RAG-based solutions.

Knowledge / Skills / Abilities

Skilled in developing and consuming RESTful APIs, and GraphQL

In-depth knowledge in microservices architecture, containerization, and orchestration tools (e.g., Docker, Kubernetes.

In-depth understanding of DevOps practices, CI / CD pipelines, and infrastructure automation.

Experience in cloud platforms (e.g., AWS, Azure, GCP) and infrastructure-as-a-service (IaaS) offerings.

Experience in with monitoring, logging, and observability tools like Prometheus and Grafana.

Demonstrated effective interpersonal, verbal and written communication skills.

Interest in AI ethics, data privacy, and compliance standards (e.g., HIPAA).

Benefits

Medical, dental, and vision insurance

Paid time off

Tuition Reimbursement

401K

Paid time to volunteer in your local community

Compensation depends on experience but is typically 130-168k

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