Hybrid Senior Python Engineer

at Grainger

• Job title: Senior Python Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: $110,500 - $184,100 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Apache, AWS, Azure, Cloud, Distributed Systems, Docker, ETL, Google Cloud Platform, Java, JavaScript, Kafka, Kubernetes, Next.js, OpenShift, Postgres, Python, React, Redis, Spring, Spring Boot, SpringBoot
• Location requirements: Hybrid, Lake Forest, United States

About the role

• Senior Software Engineer at Grainger developing full-stack applications and integrating machine learning models into systems. Collaborating with teams to deliver scalable and reliable backend and frontend services.

Responsibilities

• Develop, test, and deploy high-quality backend applications using Python (preferred) and/or JVM Language(s)
• Write clean, maintainable, and efficient code following best practices and coding standards
• Troubleshoot, debug, and optimize existing systems to improve performance
• Integrate with RESTful APIs and third-party services
• Drive improvements to the CI/CD processes, testing frameworks, and deployment pipelines
• Build high-quality front end web applications using React, or Next.js
• Work closely with AI/ML engineers to integrate machine learning models and algorithms into production applications
• Collaborate with stakeholders such as data and ML teams, design, product, and executive teams, helping on technical issues related to software and data
• Build and maintain data management systems, including databases, data warehouses, lakes, and other accessible structures
• Design and implement caching strategies using tools such as Amazon ElastiCache, Redis, or Memcached to improve application performance and scalability
• Build and maintain low-latency applications that deliver fast response times and high throughput
• Develop real-time integrations using technologies like Apache Kafka and Apache Flink to process and stream data efficiently
• Carry out ETL (Extract, Transform, Load) operations to integrate data from various sources
• Ensure data quality and integrity through rigorous testing and validation
• Mentor interns, sharing your expertise in full-stack development, backend systems, and ML integration
• Optimize applications for performance, reliability, scalability, and integration with machine learning applications seamlessly

Requirements

• Bachelor’s degree in Software Engineering, related degree, or relevant work experience
• 5 years of experience with modern software engineering projects and practices, including designing, building, and deploying scalable software applications
• 3+ years of experience in designing, building, and deploying cloud-native solutions
• Proficiency in containerization platforms (Docker, Kubernetes, or OpenShift), build automation, continuous integration/deployment, and automated monitoring
• Solid experience with Python (preferred), Java, Spring Boot, or similar frameworks for back-end development of APIs
• Proficient in RESTful API-driven design and web frameworks
• Familiarity with data engineering practices and event-driven architecture design principles
• Experience with integrating machine learning models into production applications
• Proficient in a cloud stack (AWS, Google Cloud Platform, Azure)
• Understanding of large-scale distributed systems and experience building high-performance production-grade distributed systems
• Experience with data technologies such as PostgreSQL, Snowflake, or Databricks, and exposure to real-time data streaming technologies like Kafka
• Proficient in TDD practices, testing frameworks, version control systems (e.g., Git), and CI/CD pipelines
• Familiarity with Agile/Scrum methodologies and DevOps practices
• Ability to produce detailed, comprehensive software documentation, including testing plans, requirement specs, design docs, and technical requirements for user stories
• Excellent communication skills and ability to collaborate effectively with team members
• Exposure to designing and implementing caching strategies using tools such as Amazon ElastiCache, Redis, or Memcached to improve application performance and scalability
• Proven ability to build and maintain low-latency applications that deliver fast response times and high throughput
• Hands-on experience developing real-time integrations using technologies like Apache Kafka and Apache Flink for efficient data processing and streaming

Benefits

• Medical, dental, vision, and life insurance plans with coverage starting on day one of employment
• 6 free sessions each year with a licensed therapist to support your emotional wellbeing
• 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date)
• 6 company holidays per year
• 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required
• Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools
• Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents