Job description

SOSi is seeking highly skilled Software Developers to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on an HPC. In this role, you will play a pivotal role in designing, developing, and maintaining MSIC software applications. You will work closely with cross-functional teams to deliver high-quality solutions that meet our clients' needs. Your expertise in Python, Docker, NoSQL, SQL, and Apache Airflow/Kafka will be crucial in driving our projects forward. Essential Job Duties • Design, develop, test, and maintain software applications using Python. • Design, implement, and manage scalable MLOps pipelines and infrastructure. • Develop and manage containerized applications using Docker. • Work with NoSQL and SQL for database management and optimization. • Implement and manage data workflows using Apache Airflow and Kafka. • Automate the training, testing, and deployment of machine learning models. • Implement and manage APIs and ensure their scalability, reliability, and performance. • Implement and manage infrastructure as code and configuration management tools. • Collaborate with data scientists to integrate machine learning models into applications. • Design and develop microservices architecture for scalability and efficiency. • Write clean, scalable, and efficient code. • Participate in the entire software development lifecycle, from concept and design to testing and deployment. • Troubleshoot, debug, and upgrade existing software. • Provides leadership, support and guidance to all AIMS Team Members. • Ensures and promotes the development of the AIMS team through coaching, training, and leadership development. • Provides informal feedback on an ongoing basis and formal feedback in the annual performance evaluation process to identify and develop talent. • Top Secret Security Clearance with SCI eligibility. • 7+ years of experience in software development, MLOps, DevOps, or related roles. • Proficiency in Python and experience with its frameworks. • Extensive knowledge of containerization and orchestration tools (Docker, Kubernetes). • Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI) and automated testing. • Experience with version control systems (Git, SVN). • Hands-on experience with NoSQL and SQL. • Proficient in using Apache Airflow for workflow management. • Proficiency with cloud platforms (AWS, Azure, Google Cloud). • Solid understanding of software architecture and design patterns. • Strong problem-solving skills and attention to detail. • Excellent communication and teamwork skills. • Ability to work independently and manage multiple tasks efficiently. • Experience with agile development methodologies. Preferred Qualifications • Bachelor’s degree in Computer Science, Engineering, or a related field. • Familiarity with event-driven architecture and messaging systems (Kafka, RabbitMQ). • Experience with feature stores and model registries. • Familiarity with big data technologies (Spark, Hadoop) • Knowledge of monitoring and logging tools for machine learning models (Prometheus, Grafana, ELK stack). • Significant experience with petabyte scale data sets. • Significant experience with large-scale, multi-INT analytics. Work Environment • Working conditions are normal for an office environment. • Fast paced, deadline-oriented environment. • May require periods of non-traditional working hours including consecutive nights or weekends (if applicable). Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.

Requirements

Must-haves

Essential Job Duties
Design, develop, test, and maintain software applications using Python.
Design, implement, and manage scalable MLOps pipelines and infrastructure.
Develop and manage containerized applications using Docker.
Work with NoSQL and SQL for database management and optimization.
Implement and manage data workflows using Apache Airflow and Kafka.
Automate the training, testing, and deployment of machine learning models.
Implement and manage APIs and ensure their scalability, reliability, and performance.
Implement and manage infrastructure as code and configuration management tools.
Collaborate with data scientists to integrate machine learning models into applications.
Design and develop microservices architecture for scalability and efficiency.
Write clean, scalable, and efficient code.

Nice-to-haves

Bachelor’s degree in Computer Science, Engineering, or a related field.
Familiarity with event-driven architecture and messaging systems (Kafka, RabbitMQ).
Experience with feature stores and model registries.
Familiarity with big data technologies (Spark, Hadoop)
Knowledge of monitoring and logging tools for machine learning models (Prometheus, Grafana, ELK stack).
Significant experience with petabyte scale data sets.
Significant experience with large-scale, multi-INT analytics.
Work Environment
Working conditions are normal for an office environment.
Fast paced, deadline-oriented environment.
May require periods of non-traditional working hours including consecutive nights or weekends (if applicable).
Working at SOSi

Application prep

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Keywords to mirror

pythondockersqlmachine learningkubernetesci/cdawsazureagile

Platform: smartrecruiters
Effort: medium