Senior Software Engineer: Signal Processing at Entersekt

The Ideal Candidate

We are seeking a passionate Senior Software Engineer who thrives in designing and implementing high-performance systems. You'll join our Signal Processing team, part of the Advice & Intelligence POD, where you’ll work on cutting-edge technologies that process vast amounts of data to provide secure, real-time insights. This is a strategic role with a future path to becoming a Team Lead.

You should be excited about cloud technologies like AWS, machine learning (ML), and large-scale data processing. If you enjoy working in an agile environment and solving complex problems, you’ll be a great fit for this team.

The Role

As a Senior Software Engineer, you will play a key role in building and enhancing the products the Signal Processing team develops, which are crucial to the future of Entersekt’s innovation pipeline. This team is responsible for processing signals and data at scale to improve the accuracy and efficiency of our authentication and fraud detection systems. You will contribute to the development of secure, scalable microservices, and have input on technical direction, including best practices, architecture, and design.

You’ll collaborate with software engineers, data scientists, and quality assurance engineers, while closely working with cloud-based infrastructure and machine learning tools to build solutions that process and analyze data streams in real-time.

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.

Skills and Experience

Successful candidates for this role will generally possess the following qualifications and skills:

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

Personality Attributes

• Strong problem-solving skills and a passion for finding creative solutions.
• Eager to take on responsibility, with an eye towards a future leadership role.
• Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical teams.
• A collaborative mindset and willingness to work as part of a cross-functional team.
• A drive for innovation, always looking to improve products and processes.
• Pride in delivering high-quality, secure, and efficient code.