Senior Software Engineer

Summary

Join Entersekt's Signal Processing team as a Senior Software Engineer and contribute to building and enhancing high-performance, secure systems. You will design, implement, and optimize machine learning pipelines within an AWS cloud environment, working with large-scale data processing technologies. This role involves collaboration with cross-functional teams, mentoring junior engineers, and driving architectural improvements. The ideal candidate possesses extensive experience in software development, cloud technologies, and machine learning, along with strong problem-solving and communication skills. This is a strategic role with a clear path to becoming a Team Lead, offering flexible hours and remote work opportunities.

Requirements

• 5+ years of experience with one or more general-purpose programming languages, such as Java, Python, or Golang, with a strong grasp of object-oriented programming and design principles
• Experience with cloud platforms, particularly AWS. You should be familiar with key AWS services like Lambda, DynamoDB and S3, and experience deploying and managing applications in cloud environments
• Knowledge of large-scale data processing technologies, such as Apache Kafka or AWS Kinesis, for handling real-time data streams and integrating them into scalable solutions
• Experience with containerization and orchestration technologies, such as Docker and Kubernetes, for managing microservices-based architectures
• Exposure to machine learning workflows and an understanding of how to integrate ML models into production systems
• Strong understanding of software architecture, with experience building and scaling microservices for high-performance environments
• Familiarity with security best practices, including knowledge of cryptography, public key infrastructure (PKI), and secure system design
• Experience with automated testing, including unit, integration, and performance tests, to ensure software quality and stability
• Agile experience: Familiarity with Scrum or Kanban methodologies, contributing effectively in cross-functional, agile teams
• Proven experience in mentoring junior engineers and providing technical leadership, with an eye toward transitioning into a Team Lead role

Responsibilities

• Develop, test, and maintain robust, scalable microservices that process large volumes of data in real-time
• Design, implement, and optimize machine learning pipelines that integrate with AWS cloud infrastructure
• Lead the design of new features, ensuring high-performance and secure implementations
• Mentor and guide junior engineers, preparing to transition into a future Team Lead role
• Collaborate with cross-functional teams to define and implement innovative data-driven solutions
• Work with DevOps to ensure smooth deployment and scaling of microservices in cloud environments (AWS)
• Drive architectural improvements for high-performance, fault-tolerant systems

Preferred Qualifications

A bachelor’s degree in computer science, Engineering, or a related field is preferred, though relevant experience is highly valued

Benefits

• Flexible hours
• Remote work
• Plenty of growth opportunities