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Job Description
- We are looking for a Lead Software Engineer with strong expertise in ML Ops, distributed systems, and platform engineering to design, build, and scale high-performance infrastructure. You will lead initiatives across software engineering, system reliability, and machine learning operations to deliver robust, production-ready solutions.
- Design & Develop scalable, secure, and reliable microservices using Golang and Python
- Build and maintain containerized environments using Docker and orchestrate them with Kubernetes
- Implement CI/CD pipelines with Jenkins for automated testing, deployment, and monitoring.
- Manage ML workflows with MLflow, ensuring reproducibility, versioning, and deployment of machine learning models.
- Leverage Temporal for orchestrating complex workflows and ensuring fault-tolerant execution of distributed systems.
- Work with AWS cloud services (EC2, S3, IAM, basics of networking) to deploy and manage scalable infrastructure.
- Collaborate with data science and software teams to bridge the gap between ML research and production systems.
- Ensure system reliability and observability through monitoring, logging, and performance optimization.
- Mentor junior engineers and lead best practices for ML Ops, DevOps, and system design.
- Minimum 5+ years of experience.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Strong programming skills in Golang and Python.
- Hands-on experience with Kubernetes and Docker in production environments.
- Proven experience in microservices architecture and distributed systems design.
- Good understanding of AWS fundamentals (EC2, S3, IAM, networking basics).Experience with MLflow for ML model tracking, management, and deployment.
- Proficiency in CI/CD tools (preferably Jenkins).Knowledge of Temporal or similar workflow orchestration tools.
- Strong problem-solving and debugging skills in distributed systems.
- Excellent communication and leadership skills with experience mentoring engineers.
Skills
Software EngineerS3KubernetesPythonMachine LearningArtificial IntelligenceMicroservicesDockerOptimizationIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
AppZen is an artificial intelligence platform for modern finance teams, helping them to reduce spend, comply with policy, and streamline process. AppZen is the leader in Finance AI software empowering autonomous finance operations for modern finance teams. Our patented Mastermind AI accurately. AppZen is a San Jose-based company that provides an AI-based auditing platform for finance teams.
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