Software Engineer V

Omnicell•Milpitas, CA

38d•Hybrid

About The Position

Experienced Senior Engineer with 10+ years of expertise in software development and cloud computing. As a senior technical leader, you will work closely with architects to drive architectural decisions, mentor junior developers, oversee large-scale development efforts, and ensure high-quality software delivery. This role demands deep technical proficiency, strategic thinking, and hands-on development in edge computing, IoT, cloud infrastructure, event-driven architectures, and container orchestration.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field
10+ years of experience in software development, with a strong focus on cloud infrastructure and distributed systems
10+ years of experience designing, developing, and deploying microservices-based applications
Expertise in .NET and REST API development, with a strong foundation in distributed system design
Extensive experience in Kafka and event-driven architectures, ensuring real-time and scalable data processing
Advanced proficiency in Kubernetes for managing containerized workloads, ensuring scalability and high availability
Strong PostgreSQL and SQL database management expertise, including schema design and query optimization
Hands-on experience with Linux OS, shell scripting, and debugging applications in Kubernetes environments
Track record in building large-scale, production-grade software systems
Experience with cloud platforms (AWS, Azure), including serverless computing, edge computing, and cloud security
Strong problem-solving abilities and experience troubleshooting complex distributed systems
Expertise in C# (OR Rust) AND Angular
Ability to pass background and employment verification checks
Able to work hybridly from the assigned location 1-2 days per week

Nice To Haves

Familiarity with IoT security best practices and compliance standards
Experience working with large teams and enterprise-scale projects
Certifications in AWS, Kubernetes (CKA/CKS), or Cloud Architecture
Knowledge of modern DevOps practices, CI/CD pipelines, and automation strategies

Responsibilities

Work with architects on the design and architecture of complex edge computing, IoT, and cloud-based systems, ensuring high performance and scalability
Define and enforce technical best practices, coding standards, and architectural guidelines for development teams
Own the end-to-end system design, ensuring efficient integration between edge devices, cloud services, and data pipelines
Drive continuous improvements in system performance, security, and scalability
Evaluate new technologies and recommend adoption to keep the system cutting-edge and future-proof
Actively develop, optimize, and maintain high-performance software solutions
Architect and implement RESTful APIs, ensuring seamless integration between edge and cloud infrastructure
Implementation of event-driven architectures using Kafka for real-time data processing and analytics
Design, deploy, and manage microservices-based applications in Kubernetes with best-in-class scalability and reliability
Ensure efficient database architecture, schema design, and performance optimization for PostgreSQL and SQL-based solutions
Implement and oversee best practices for unit testing, automation, CI/CD, and DevOps pipelines
Mentor and coach junior and mid-level developers, ensuring knowledge transfer and skill development
Lead technical discussions, design reviews, and code reviews to maintain high software quality
Provide technical guidance and assist in troubleshooting complex issues
Foster a culture of collaboration, innovation, and engineering excellence across the team
Work closely with Product, Engineering, and DevOps teams to align software development with business objectives
Collaborate with stakeholders to define roadmaps, priorities, and architectural strategies for the development team
Identify and mitigate technical risks early in the development lifecycle
Advocate for best practices in security, scalability, and system reliability