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Senior Full-Stack Engineer, Chat Portal
hace 4 semanas
Senior Full Stack Engineer (Java/React.js) 2000 Santa Fe, Santa Fe AgileEngine AgileEngine is a top‑ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest‑growing U.S. companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia. If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place – guaranteed :) What you will do Build end‑to‑end solutions, implementing and designing both the GUI and the server‑side designs with high efficiency and quality. Participate in all phases of the software development lifecycle – requirements, architecture, design, development, testing, and deployment. Participate in the project planning process including estimating and process improvements in an Agile environment. Deliver solutions that are highly usable, efficient, secure, and scalable. Strive at all times to do work using best practices – through experience or experimentation. Must haves 5+ years of experience with Java Enterprise Application development. Monolithic application experience. Examples of independently building complex solutioning. Solid skills – independent investigating and solutioning for software feature changes. Experience developing Proof of Concepts for large enterprise applications. Recent steady Java development. Able to hit the ground running. Exposure to large solutions. Current experience and knowledge with Lazy loading, eager loading (Hibernate). Working with exceptions. Solid HTML, JavaScript and CSS experience. Be familiar with SQL Server Query Analyzer and querying multi‑table complex data structures. Experience writing complex queries and performance tuning in large, data‑driven enterprise applications. Upper‑intermediate English level. Nice to haves Diploma or degree in Computer Sciences, IT, or a related field and 5+ years of work experience in a development environment. Experience with Tomcat, Apache, MSSQL Server, RESTful API, and other modern web technologies. A perfectionist streak and dedication to quality software. Strong communication skills and a collaborative mindset. Ownership and a drive to continuously learn and improve. Benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation We match your ever‑growing skills, talent, and contributions with competitive USD‑based compensation and budgets for education, fitness, and team activities. A selection of exciting projects Join projects with modern solutions development and top‑tier clients that include Fortune 500 enterprises and leading product brands. Flextime Tailor your schedule for an optimal work‑life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Work from Home Lead Data Software Engineer 2000 Santa Fe, Santa Fe AgileEngine AgileEngine is a top‑ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest‑growing U.S. companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia. If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place – guaranteed :) What you will do Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals. Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment. Collect, process, and prepare large datasets for analysis, feature engineering, and model training. Implement data quality checks, validation, and monitoring to ensure reliability and accuracy of data used in ML models. Optimize data storage, retrieval, and processing performance for ML workloads. Develop and maintain ETL (Extract, Transform, Load) processes and workflows. Manage data versioning, storage, and access control for ML datasets. Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments. Stay up‑to‑date with emerging technologies, tools, and best practices in data engineering and ML infrastructure. Must haves Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Proven experience as a Data Engineer, preferably supporting Data Scientists. Strong proficiency in programming languages such as Python, Java, or Scala. Proficiency with data storage and processing technologies, including SQL databases, NoSQL databases, and distributed computing frameworks (e.g., Hadoop, Spark). Experience with data warehousing solutions and data integration tools. Experience with data pipeline and workflow management tools: AWS glue, Airflow, etc. Knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and ML model deployment. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes). Excellent problem‑solving skills and a collaborative mindset. Excellent oral and written communication skills with a keen sense of customer service. Nice to haves Experience in ad/marketing environment. Experience working with Data Lakes. Experience with Scala. Experience with Glue/EMR/Redshift/Airflow. Experience with Terraform. Benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation We match your ever‑growing skills, talent, and contributions with competitive USD‑based compensation and budgets for education, fitness, and team activities. A selection of exciting projects Join projects with modern solutions development and top‑tier clients that include Fortune 500 enterprises and leading product brands. Flextime Tailor your schedule for an optimal work‑life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Senior Python Engineer 2000 Santa Fe, Santa Fe AgileEngine AgileEngine is a top‑ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest‑growing U.S. companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia. If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place – guaranteed :) What you will do Help design and implement functional requirements. Build efficient back‑end features in Python. Integrate front‑end components into applications. Manage testing and bug fixes. Prepare technical documentation. Collaborate with UX/UI designers to implement design into the code. Coach junior team members. Implement software enhancements and suggest improvements. Work with a data analytics team at Indeed: produce high‑quality code, communicate with Engineering & Data Analytics management, and align with existing development teams. Must haves Around 4 years of experience in software development. Significant practical experience with Python (ideally 5+ years). Strong Python, Django, REST API, SQL knowledge. Experience deploying Python code into containers (Kubernetes/Docker). Nice to haves AWS experience. ETL development experience: Airflow is a plus. Jupyter Notebooks. Knowledge of JavaScript and the AngularJS framework is a plus. Benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation We match your ever‑growing skills, talent, and contributions with competitive USD‑based compensation and budgets for education, fitness, and team activities. A selection of exciting projects Join projects with modern solutions development and top‑tier clients that include Fortune 500 enterprises and leading product brands. Flextime Tailor your schedule for an optimal work‑life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. #J-18808-Ljbffr
