Staff Software Engineer - Platform

At Seeq, we develop advanced analytics solutions for industrial process data, enabling companies in pharmaceuticals, energy, and manufacturing to derive actionable insights. Our innovative platform integrates cutting-edge technologies and data-processing capabilities, connecting to complex data sources and delivering impactful analytics.

As a Staff Software Engineer - Platform, you will be instrumental in designing and building the core platform services that support scalable data analytics and efficient user experiences. Working as a key technical leader, you will collaborate closely with cross-functional teams including product management, UX, and fellow engineers to architect and implement robust, high-performance platform components.

You will focus on enhancing platform scalability, reliability, and extensibility, introducing modern cloud-native solutions and microservices architectures. Your responsibilities include evolving APIs, optimizing data pipelines, supporting multi-tenant environments, and integrating security best practices. You will also mentor and guide engineering teammates, ensuring high technical standards and effective collaboration.

Your Qualifications & Skills:

• Proficient in backend technologies with strong experience in JVM languages, particularly Java and Kotlin
• Deep understanding of distributed systems, microservices, and cloud platforms such as AWS, Azure, or GCP
• Experience building scalable, reliable platform services supporting data-intensive applications
• Expertise in API design, data pipelines, and integrating security practices in platform development
• Strong background in software design patterns, system architecture, and performance optimization
• Demonstrated leadership and mentoring skills, with experience guiding engineering teams
• Excellent communication and collaboration skills in a cross-functional and remote work environment
• Passion for continuous improvement and adopting modern development methodologies like Agile and CI/CD

You will thrive in a fast-paced, innovative environment where your contributions significantly impact the product and customers. A bachelor’s degree in Computer Science or equivalent experience, along with multiple years of senior software engineering experience, is expected.

At Seeq, we develop advanced analytics solutions for industrial process data, enabling companies in pharmaceuticals, energy, and manufacturing to derive actionable insights. Our innovative platform integrates cutting-edge technologies and data-processi...

• Bachelor’s or master’s degree in computer science, software engineering, or a related field, or equivalent experience
• Minimum of 8 years of software engineering experience, including backend and platform development
• Proficiency in JVM languages such as Java or Kotlin
• Strong knowledge of distributed systems, microservices, and cloud-native architectures on AWS, Azure, or GCP
• Experience designing and implementing scalable, reliable platform services for data-intensive applications
• Familiarity with API development, secure coding standards, and performance tuning
• Leadership experience mentoring and guiding engineering teams
• Strong collaboration and communication skills for cross-functional and remote teams
• Knowledge of Agile methodologies, CI/CD pipelines, and software testing best practices
• Experience in industrial process data analytics or related domains is a plus

At Seeq, we develop advanced analytics solutions for industrial process data, enabling companies in pharmaceuticals, energy, and manufacturing to derive actionable insights. Our innovative platform integrates cutting-edge technologies and data-processing capabilities, connecting to complex data sources and delivering impactful analytics.

As a Staff Software Engineer - Platform, you will be instrumental in designing and building the core platform services that support scalable data analytics and efficient user experiences. Working as a key technical leader, you will collaborate closely with cross-functional teams including product management, UX, and fellow engineers to architect and implement robust, high-performance platform components.

You will focus on enhancing platform scalability, reliability, and extensibility, introducing modern cloud-native solutions and microservices architectures. Your responsibilities include evolving APIs, optimizing data pipelines, supporting multi-tenant environments, and integrating security best practices. You will also mentor and guide engineering teammates, ensuring high technical standards and effective collaboration.

Your Qualifications & Skills:

• Proficient in backend technologies with strong experience in JVM languages, particularly Java and Kotlin
• Deep understanding of distributed systems, microservices, and cloud platforms such as AWS, Azure, or GCP
• Experience building scalable, reliable platform services supporting data-intensive applications
• Expertise in API design, data pipelines, and integrating security practices in platform development
• Strong background in software design patterns, system architecture, and performance optimization
• Demonstrated leadership and mentoring skills, with experience guiding engineering teams
• Excellent communication and collaboration skills in a cross-functional and remote work environment
• Passion for continuous improvement and adopting modern development methodologies like Agile and CI/CD

You will thrive in a fast-paced, innovative environment where your contributions significantly impact the product and customers. A bachelor’s degree in Computer Science or equivalent experience, along with multiple years of senior software engineering experience, is expected.

At Seeq, we develop advanced analytics solutions for industrial process data, enabling companies in pharmaceuticals, energy, and manufacturing to derive actionable insights. Our innovative platform integrates cutting-edge technologies and data-processi...

• Bachelor’s or master’s degree in computer science, software engineering, or a related field, or equivalent experience
• Minimum of 8 years of software engineering experience, including backend and platform development
• Proficiency in JVM languages such as Java or Kotlin
• Strong knowledge of distributed systems, microservices, and cloud-native architectures on AWS, Azure, or GCP
• Experience designing and implementing scalable, reliable platform services for data-intensive applications
• Familiarity with API development, secure coding standards, and performance tuning
• Leadership experience mentoring and guiding engineering teams
• Strong collaboration and communication skills for cross-functional and remote teams
• Knowledge of Agile methodologies, CI/CD pipelines, and software testing best practices
• Experience in industrial process data analytics or related domains is a plus