Senior Software Engineer in Hollenstein an der Ybbs

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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:

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

Required Skills & Experience:

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