Senior Engineer II, Python

MACHINE LEARNING TECHNOLOGIES LLC; Seattle (WA); On-site; USD 140,000 - 200,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Senior Engineer II, Python, to design, build, and maintain scalable backend services and APIs. You will manage Kafka-based messaging systems, drive performance optimizations, and collaborate with cross-functional teams to translate business needs into robust solutions.

You will develop cloud-native applications on AWS/Azure/GCP, lead architectural discussions, and mentor junior engineers to uphold high code quality, reliability, and security in an

Qualifications

• 8+ years of backend development experience.
• Strong Python production experience.
• Deep Kafka expertise in high-scale environments.
• Cloud-native apps on AWS/Azure/GCP.
• Proficient in Docker and Kubernetes.
• Experience with microservices and RESTful APIs.
• Knowledge of CI/CD pipelines, Git, and automated testing.
• Leadership or mentoring of engineering teams.

Responsibilities

• Design, develop, and maintain scalable backend services and APIs in Python.
• Manage Kafka-based messaging and distributed event-driven systems.
• Collaborate with cross-functional teams to translate requirements into solutions.
• Develop cloud-native apps on AWS/Azure/GCP.
• Optimize Kafka configurations for performance and scalability.
• Mentor engineers and lead technical direction and reviews.
• Oversee CI/CD, code quality, and cloud architecture best practices.
• Troubleshoot production issues in backend services and Kafka.

Skills

Python backend development

Kafka experience

Cloud platforms

Docker & Kubernetes

CI/CD & Git

Mentoring/leadership

RESTful APIs

Security practices

Tools

Kafka

Docker

Kubernetes

Git

CI/CD tools

Job description

Job Description

Job Overview

• Job ID: J52163
• Job Title: Senior Engineer II, Python
• Location: Seattle, ID
• Duration: 24 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Senior Engineer II, Python

• Design, develop, and maintain highly scalable backend services and APIs using Python.
• Implement and manage Kafka-based messaging systems, handling high-throughput, low-latency, and distributed event-driven architectures.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Develop cloud-native applications and services using AWS, Azure, or GCP.
• Lead efforts in optimizing Kafka configurations for performance and scalability, including topic design, partitioning, consumer group management, and message retention strategies.
• Mentor junior engineers and provide technical leadership, ensuring a high standard of code quality, performance, and reliability.
• Conduct code reviews, design discussions, and drive best practices for software design, CI/CD pipelines, and cloud architecture.
• Troubleshoot and resolve production issues related to both backend services and Kafka message processing.
• Contribute to architectural decision-making and ensure solutions are maintainable, extensible, and secure.
• Implement automated testing frameworks and work within an agile software development lifecycle.

Qualification

• 8+ years of professional backend development experience.
• Strong experience with Python in building production-grade systems.
• Deep understanding of Kafka and experience working with Kafka in a high-scale production environment (e.g., Kafka clusters, message processing, schema management).
• Experience designing, deploying, and maintaining cloud-native applications on AWS (preferred), Azure, or GCP.
• Proficient in containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with microservices architecture, RESTful APIs, and event-driven systems.
• Solid understanding of CI/CD pipelines, version control systems (e.g., Git), and automated testing practices.
• Experience leading or mentoring engineering teams, setting technical direction, and fostering a collaborative and productive environment.
• Strong communication skills, capable of working with both technical and non-technical stakeholders to deliver clear, actionable solutions.
• Experience with event-driven architecture using Kafka or similar tools.
• Familiarity with serverless computing or edge computing technologies.
• Contributions to open-source projects or a strong GitHub portfolio.
• Knowledge of security best practices for backend services, data protection, and authentication protocols.

Must Haves

• Acknowledge the presence of choice in every moment and take personal responsibility for your life.
• Possess an entrepreneurial spirit and continuously innovate to achieve great results.
• Communicate with honesty and kindness and create the space for others to do the same.
• Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.
• Foster connection by putting people first and building trusting relationships.
• Integrate fun and joy as a way of being and working, aka doesn't take yourself too seriously.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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