Senior Software Engineer(W2) Job at Snowrelic Inc, San Jose, CA

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  • Snowrelic Inc
  • San Jose, CA

Job Description

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Role : Senior Software Engineer(W2)

Location : RTP or San Jose

Skills : software engineer, hybrid cloud infrastructure, AI, ML, DevOps, Python, Go. UI/UX, SQL

Role: Senior Software Engineer

Location: RTP or San Jose Complete onsite 5 days/ week

Notice period: 2 weeks

Visa: Any (Except OPT and CPT)

Note: Need atleast 1 or 2 resumes by today EOD please try to submit profiles please.

Job Description For Senior Software Engineer

Our team is seeking a software engineer with extensive experience in enterprise-level software development, to join a dynamic and agile team of talented engineers developing platform automation and tools that support hybrid cloud infrastructure and services. You will combine your knowledge of software engineering, AI, and ML to help create a robust experience for users while enhancing the reliability, scalability, and efficiency of our cloud management platforms. You will spearhead new initiatives, capabilities, and features that will positively impact both infrastructures, as well as application and product development teams across the company. You will partner with clients, product managers, and other engineers to drive solutions from conception through delivery and operation.

Responsibilities

  • Develop and deliver software required for building & improving the functionality, reliability, availability, and manageability of applications and cloud platforms using a DevOps model
  • Design, implement, and optimize AI and ML solutions to elevate platform efficiency, scalability, and user experience
  • Collaborate with other developers and related core services team members to define roadmaps, write clear user stories with well-defined acceptance criteria, design, and build solutions
  • Develop intelligent applications and tools using large language models (LLMs) and machine learning to optimize business processes and enhance user experiences
  • Identify, explore and provide thought leadership for integration scenarios and best practices where AI and ML can be leveraged to drive innovation and operational efficiency
  • Design and develop microservices and APIs in a cloud-native model in conjunction with other team members
  • Ensure the quality, performance, robustness, security and scalability of the services you implement
  • Automate the development, testing, and deployment processes through CI/CD pipelines and tools such as Git, Jenkins, SonarQube, Artifactory, and Kubernetes
  • Champion and drive the adoption of Infrastructure as Code (IaC) practices and mindset
  • Provide operational support, troubleshooting, bug fixes and enhancements for live production software to ensure functionality and user satisfaction

Minimum Qualifications

  • 5+ years of solid hands-on software development experience with a focus on continuous delivery and deployment, enterprise application development, and cloud automation using Python and Go. UI/UX experience is preferred but not required
  • Proficient in building cloud-native, container-based, server-side RESTful services, APIs, and automation tools
  • Experience building cloud-based application using microservices hosted in Kubernetes environments
  • Experience with AI and ML solutions (e.g. Assistants, Agents, RAG), using tools and frameworks such as Lang Chain, LangGraph, PyTorch, TensorFlow
  • Strong database experience with a combination of SQL (MySQL or PostgreSQL) and NoSQL (MongoDB, Redis) platforms
  • A drive to get things done in a highly collaborative and agile development environment
  • Strong analytical, communication, and problem-solving skills, agile and results oriented
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    IT Services and IT Consulting

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