Full Stack Software Engineer-Manufacturing Digital Engineering

We are seeking a highly skilled, collaborative, and forward-thinking AI/ML Full Stack Engineer to join our product team. In this role, you will deliver robust full-stack development leveraging cloud-native microservices on GCP, while also driving AI Engineering initiatives designing and integrating GenAI models, agentic workflows, and ML pipelines to solve complex business challenges.

You''ll work closely with a team of engineers who use automated CI/CD pipelines to continuously ship clean, secure, and production-ready code. A key aspect of this role is building strong observability and telemetry into our systems collecting both operational metrics and business metrics through logging, monitoring, tracing, and alerting to ensure performance, reliability, and rapid issue detection across our platforms.

The ideal candidate is passionate about software craftsmanship, building scalable and high-performance applications, and staying current with cutting-edge AI capabilities.

Full Stack Engineering

• Design and develop responsive, performant web applications using Angular/React, TypeScript, and modern frontend frameworks

• Build scalable backend services and RESTful APIs using Spring Boot, Java, and microservices architecture

• Build reusable frameworks and work closely with DevOps to ensure the platform is highly available, scalable, and fault tolerant

• Migrate existing legacy applications to GCP and modernize codebases to current frameworks (Spring Boot, Angular/React)

• Conduct code reviews and ensure adherence to standards, design patterns, and architecture principles

AI/ML Engineering

• Contribute to AI-driven initiatives, including integrating GenAI capabilities and agentic workflows within the GCP ecosystem

• Design, develop, and deploy ML models using Python, TensorFlow, PyTorch, or scikit-learn

• Build end-to-end ML pipelines data preprocessing, feature engineering, model training, evaluation, and deployment on Vertex AI

• Collaborate with product managers and stakeholders to translate business problems into AI/ML solutions

Observability Telemetry

• Build strong observability into the platform, including automated performance monitoring, logging, and distributed tracing (e.g., Splunk, Dynatrace, OpenTelemetry)

• Instrument systems to collect both operational metrics (latency, error rates, throughput) and business metrics (usage patterns, adoption, value delivery)

• Ensure high availability, quick issue detection, and reliable production support through proactive alerting

Quality DevOps

• Actively participate in Test-Driven Development (TDD), CI/CD, and DevOps practices as part of software craftsmanship and Agile XP

• Automate unit, integration, and performance testing (JUnit, Selenium/Playwright) and ensure application security through SAST/DAST practices

• Implement robust CI/CD processes, quality gates, and maintain high code coverage standards

Data Engineering (Supporting)

• Work with data pipelines and cloud-based data storage/processing technologies for handling large datasets

• Leverage GCP data services (BigQuery, Dataflow, Pub/Sub) for analytical and ML workloads

• Apply data preprocessing, cleaning, and feature engineering to prepare data for model training

Required

• Bachelor''s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience)

• 5+ years of professional software development experience

• Strong proficiency in Java (Spring Boot, Spring Cloud, Spring Security) and front-end frameworks (Angular or React, TypeScript)

• Experience building and deploying cloud-native applications on Google Cloud Platform (Cloud Run, App Engine, Cloud Functions, BigQuery, Pub/Sub)

• Hands-on experience with Python for AI/ML development using frameworks such as TensorFlow, PyTorch, or scikit-learn

• Experience with microservices architecture, REST API design, and containerization (Docker, Kubernetes)

• Proven experience with TDD methodology, CI/CD pipelines (GitHub Actions, Jenkins, Tekton), and code quality tools (SonarQube, Checkmarx)

• Experience building observability solutions monitoring, logging, tracing, and alerting for both operational and business metrics

• Proficiency with version control (GitHub) and Infrastructure as Code concepts (Terraform is a plus)

• Strong problem-solving, analytical, and communication skills

• Experience working in Agile/XP environments

Preferred

• Experience with Generative AI/LLM applications, prompt engineering, or agentic AI workflows

• Familiarity with Vertex AI, AI Platform, or similar managed ML services

• Experience with data pipeline tools (Dataflow, DBT, Astronomer/Airflow)

• Knowledge of MLOps practices model versioning, experiment tracking, model serving

• Experience with databases (PostgreSQL, BigQuery, MongoDB) and data modeling

• Familiarity with Tekton and Terraform for CI/CD and infrastructure provisioning

• GCP Professional certifications (Cloud Engineer, ML Engineer, or Data Engineer)