Senior Software Engineer in Weissenbach an der Triesting

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Seeking senior software engineer with substantial experience in software developer with deep expertise across quantitative development, infrastructure engineering, and full-stack development. The candidate should be able to take on a leadership role, mentor junior engineers, contribute to the design and implementation and maintenance of complex software. The candidate should have a good understanding of software engineering principles and methodologies, including agile frameworks, and proficient in multiple technologies and programming languages.

Responsibilities:

Communication and Collaboration Skills: Ability to effectively communicate technical concepts and collaborate.
Software Architecture: Knowledge of different software architectures, including microservices, cloud-based systems, and distributed systems.
Familiarity with monitoring/logging tools (e.g., Prometheus, Grafana, ELK stack).
Ensure high code quality through code reviews, CI/CD, test automation, and Git-based workflows.
Experience working in or with quantitative research, HFT, or hedge fund teams is highly desirable.
Own deployment pipelines across cloud providers (AWS, GCP, Azure) using containerization (Docker, Kubernetes).
Software Design and Implementation: Lead architecture, design, and development of complex features and internal developer tools.
Code Quality and Review: Ensure code quality through code reviews, adhering to coding standards, and implementing best practices.
Ability to translate business and research needs into engineering roadmaps.
Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
Prior work in a fintech, hedge fund, or proprietary trading firm environment. Crypto-native a plus
Familiarity with financial APIs, FIX protocol, or trading exchange integrations.
Expertise in modern web development with React, Node.js, MongoDB, and SQL (Postgres, MySQL).
Agile Methodologies: Experience working in Agile environments and implementing Agile frameworks.
Solid understanding of trading infrastructure, latency optimization, execution systems, and market data feeds.
Frameworks and Tools: Experience with various software frameworks and tools, such as REST APIs, databases (SQL, NoSQL), and cloud platforms (AWS, Azure, GCP).
Strong understanding of Git/GitHub, CI/CD workflows, code branching strategies, and code ownership.
Work with data at scale (market data ingestion, real-time analytics, historical storage).
Collaborative mindset, capable of interfacing with multi-disciplinary teams.
Proven experience managing and mentoring a team of 3–10 engineers.
Problem Solving and Debugging: Strong problem-solving abilities and the ability to analyze and resolve complex issues.
Experience with Redis, Kafka, or similar real-time streaming/data platforms is ideal.
Production experience with Kubernetes and cloud-native deployment strategies.
Hands-on with AWS, GCP, and Azure for compute, networking, and storage configurations.
5+ years of experience in software development, with exposure to both backend and frontend stacks.
Maintain and optimize trading infrastructure (low-latency systems, data pipelines, monitoring, etc.).
Design and implement microservices and APIs for internal tools and external integrations.
Proficiency in multiple programming languages, such as Java, Python, C++, C#, JavaScript, and other
Technical Leadership: team of software engineers, mentor junior developers, guide technical decisions, and mentor junior developers.

Required Skills & Experience:

Communication and Collaboration Skills: Ability to effectively communicate technical concepts and collaborate.
Software Architecture: Knowledge of different software architectures, including microservices, cloud-based systems, and distributed systems.
Familiarity with monitoring/logging tools (e.g., Prometheus, Grafana, ELK stack).
Ensure high code quality through code reviews, CI/CD, test automation, and Git-based workflows.
Experience working in or with quantitative research, HFT, or hedge fund teams is highly desirable.
Own deployment pipelines across cloud providers (AWS, GCP, Azure) using containerization (Docker, Kubernetes).
Software Design and Implementation: Lead architecture, design, and development of complex features and internal developer tools.
Code Quality and Review: Ensure code quality through code reviews, adhering to coding standards, and implementing best practices.
Ability to translate business and research needs into engineering roadmaps.
Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
Prior work in a fintech, hedge fund, or proprietary trading firm environment. Crypto-native a plus
Familiarity with financial APIs, FIX protocol, or trading exchange integrations.
Expertise in modern web development with React, Node.js, MongoDB, and SQL (Postgres, MySQL).
Agile Methodologies: Experience working in Agile environments and implementing Agile frameworks.
Solid understanding of trading infrastructure, latency optimization, execution systems, and market data feeds.
Frameworks and Tools: Experience with various software frameworks and tools, such as REST APIs, databases (SQL, NoSQL), and cloud platforms (AWS, Azure, GCP).
Strong understanding of Git/GitHub, CI/CD workflows, code branching strategies, and code ownership.
Work with data at scale (market data ingestion, real-time analytics, historical storage).
Collaborative mindset, capable of interfacing with multi-disciplinary teams.
Proven experience managing and mentoring a team of 3–10 engineers.
Problem Solving and Debugging: Strong problem-solving abilities and the ability to analyze and resolve complex issues.
Experience with Redis, Kafka, or similar real-time streaming/data platforms is ideal.
Production experience with Kubernetes and cloud-native deployment strategies.
Hands-on with AWS, GCP, and Azure for compute, networking, and storage configurations.
5+ years of experience in software development, with exposure to both backend and frontend stacks.
Maintain and optimize trading infrastructure (low-latency systems, data pipelines, monitoring, etc.).
Design and implement microservices and APIs for internal tools and external integrations.
Proficiency in multiple programming languages, such as Java, Python, C++, C#, JavaScript, and other
Technical Leadership: team of software engineers, mentor junior developers, guide technical decisions, and mentor junior developers.