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# Software Engineer

- **Company:** TUNDRA TECHNICAL
- **Location:** Redmond, WA, United States
- **Experience:** Experienced
- **Salary:** $168,480.0 - $180,960.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Geographic Information Systems, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Computer Programming, Databases, Extract Transform Load (ETL), Data Structures, Data Warehousing, Software Design Patterns, DevOps, Distributed Systems, Amazon DynamoDB, Monitoring of Systems, Python (Programming Language), PostgreSQL, Machine Learning, MySQL, Network Protocols, NoSQL, Operational Data Store, Open Source Technology, Query Optimization, Tensorflow, Software Engineering, SQL Databases, TypeScript, Data Processing, Cloud Platform System, Real Time Systems, Pytorch, Large Language Models, Grafana, Database Optimization, Apache Spark, Reliability of Systems, Database Performance, Electronic Medical Records, Database Migration, Amazon Relational Database Service, Gitlab-ci, Scikit Learn, Kubernetes, Information Technology, Low Latency, Apache Kafka, Machine Learning Operations, Multiaccess Edge Computing, Functional Programming, Cloudwatch, Software Version Control, Docker, Network Optimization, Microservices
- **Published:** October 22, 2026
- **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-10A36752F8AA65F51B/

## About the Role

* Core Software Development
 * Bachelor's degree in Computer Science, Engineering, or related technical field
 * 3+ years of professional software development experience in production environments
 * MUST- Proficiency in programming languages: Python, Java, JavaScript/TypeScript
 * Strong understanding of software design patterns, data structures, and algorithms
 * MUST- Experience with version control systems and CI/CD pipelines
 * MUST- Knowledge of distributed systems, microservices architecture, and cloud computing platforms (AWS preferred)
 * MUST- Experience with DevOps tools: Docker, Kubernetes, GitLab CI
 * MUST-Experience with monitoring tools: CloudWatch, Grafana

Database Building Experience

 * 2+ years of hands-on experience designing and implementing database systems
 * MUST- Proficiency with both SQL and NoSQL databases (PostgreSQL, MySQL, DynamoDB
 * MUST- Experience with database performance optimization, indexing strategies, and query tuning
 * MUST- Knowledge of data modeling, schema design, and database migration strategies
 * MUST- Experience with data warehousing concepts and ETL/ELT processes

Machine Learning & LLM Knowledge

 * MUST- Solid understanding of machine learning fundamentals and statistical methods
 * Experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn)
 * MUST-Knowledge of Large Language Models (LLMs) and their applications
 * Experience with natural language processing (NLP) techniques and tools
 * Understanding of model training, evaluation, and deployment in production environments
 * Familiarity with MLOps practices and tools for model lifecycle management
 * MUST-Experience with ML/AI tools: TensorFlow, Bedrock
 * MUST- Experience with cloud platforms: AWS (EC2, S3, Lambda, RDS, EMR, SageMaker)
 * MUST- Experience with data processing: Apache Spark, Kafka, Kinesis, * Master's degree in Computer Science, Machine Learning, or related field
 * MUST- Experience with satellite communication systems or aerospace applications
 * MUST- Knowledge of Real Time systems and low-latency network protocols
 * Knowledge of network protocols and telecommunications systems
 * Experience with geospatial data processing and analysis
 * Contributions to open-source projects or published research in relevant fields

## Description

We are seeking a talented Software Development Engineer to join the Fortune 5 Client's team This role requires a strong foundation in production software development, database architecture, and cutting-edge machine learning technologies., * Design, develop, and maintain large-scale distributed systems for satellite communication infrastructure

 * Build and optimize high-performance databases to handle massive volumes of telemetry and operational data
 * Implement machine learning models and LLM-based solutions for network optimization and predictive maintenance
 * Collaborate with cross-functional teams including hardware engineers, network architects, and data scientists
 * Ensure system reliability, scalability, and performance in a mission-critical environment