Sr Software Development Eng
Role details
Job location
Tech stack
Job description
As a Senior Software Engineer in an MLOps and platform-focused role, you will be responsible for designing, optimizing, and operating software platforms that support machine learning and data-driven applications at scale. You will focus on improving performance, reliability, and scalability of systems to ensure they are built for long-term growth. Leveraging modern tools and cloud-native technologies, you will automate deployment, monitoring, and lifecycle management while applying strong software engineering principles to create resilient, future-ready platforms. You are at the edge of adopting emerging technologies and are keen to develop an AI-first coding mentality., This position writes and tests software to aid in development and support of products. Individuals in this role work with Technical Leads on software system architecture and service design and typically leads a module in the system. This position participates in required product development process ceremonies. Employees in this role are responsible for writing and refining technical requirements and technical design documentation.
Job Duties & Responsibilities
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Codes in multiple languages in support of software products and the development of software products
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Conducts system testing and codes unit tests and support features
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Documents technical requirement and other technical documentation
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Works with product team to refine product requirements
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Collaborates on high level software design projects and software system architecture and creates effective component level architectures
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Leads software module construction from architecture and design to implementation and may lead a small team of engineers in building the module
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Performs other job-related duties as assigned
Requirements
Technical skills: Experience building and deploying machine learning models using Python (TensorFlow, PyTorch, or Scikit-learn). Strong SQL and data processing skills (Pandas, Spark). Familiarity with MLOps tools (MLflow, Airflow, or similar) and AWS services (S3, SageMaker, Lambda). Experience with feature engineering, model evaluation, and productionizing ML solutions. Solid understanding of data structures and scalable system design., + Bachelor's Degree or equivalent work experience
- Experience: 7+ years
Preferred Qualifications
- Bachelor's - Engineering