Jobgether is looking for a Senior Software Developer to build and scale advanced recommendation and personalized search systems. You will be responsible for developing, deploying, and maintaining AI/ML-driven solutions that serve thousands of real-time queries, leveraging cloud technologies, big data pipelines, and machine learning models.

What You'll Do

Own the end-to-end development and operation of recommendation and search personalization systems, including data ingestion, model training, deployment, and low-latency serving.
Design, build, and optimize batch and streaming pipelines using big data technologies such as Spark, ensuring multi-tenant scalability.
Train, fine-tune, and deploy machine learning models for recommendations, re-ranking, and personalization.
Integrate real-time user signals into features and ranking algorithms while balancing performance and query-triggered constraints.
Develop offline and online evaluation frameworks, define metrics, run A/B tests, and analyze results to optimize personalization strategies.
Build and maintain backend APIs and services, ensuring high-quality, tested, and observable code in production.
Collaborate with product, data science, and infrastructure teams to translate business objectives into technical solutions.
Troubleshoot production issues, perform root-cause analyses, document solutions, and mentor peers on best practices.

What We're Looking For

Bachelor’s or Master’s degree in Computer Science or a related field.
4+ years of experience building enterprise software applications and distributed systems using Python.
4+ years of experience working with AWS or other cloud platforms.
Hands-on experience training, deploying, and productionizing machine learning models.
Strong data analysis skills, with the ability to generate actionable insights.
Experience in recommendation systems, search, or personalization domains.
Proficiency with backend and distributed system development at scale.
Strong collaboration skills, with experience working in cross-functional teams.
Excellent problem-solving abilities and a commitment to writing high-quality, maintainable code.

Nice to Have

Familiarity with big data pipelines, streaming systems, and performance optimization techniques.

Technical Stack

Python
AWS
Spark
Machine Learning

Team & Environment

You will be part of a high-performing engineering team, collaborating with cross-functional teams.

Benefits & Compensation

Competitive salary and performance-based bonuses.
Flexible, remote-first working environment.
Opportunities for professional development and continuous learning.
Access to mentorship, coaching, and personal growth programs.
Wellness programs, including meditation, sports, and employee assistance services.
Extended parental leave and comprehensive health coverage.
Participation in company success through stock options or restricted stock units.
Paid volunteering days and cultural engagement initiatives.