Implementation Developer - Jersey City, NJ

As an Implementation Developer at SCM in Jersey City, your primary responsibilities will include developing and supporting multi-threaded applications with a strong emphasis on high performance. You will also optimize our trading strategy implementation and performance analysis platform, create tools for processing and analyzing financial data, and collaborate closely with our quantitative research analysts and engineers to deliver effective software solutions.

To qualify for the Implementation Developer role at SCM, candidates should have professional-level C++ programming experience in a Linux environment. Additionally, a degree in Computer Science or Mathematics is required. Strong problem-solving skills are essential, while familiarity with shell scripts and languages like Perl or SQL, as well as GUI design, can be advantageous.

While not mandatory, having experience with relational databases such as Sybase, SQL Server, or Oracle is certainly a plus for the Implementation Developer position at SCM. Those with this background will be better equipped to handle the data analysis and database interactions typical in the role.

The anticipated annual base salary for the Implementation Developer role at SCM ranges from $100,000 to $250,000. The actual compensation may vary based on your skills, qualifications, and experience, and it is complemented by additional benefits such as bonuses, health coverage, and participation in a 401(k) profit sharing program.

SCM prides itself on a workplace culture that emphasizes diversity, inclusion, and collaboration. As an Implementation Developer, you will find yourself in an environment where every employee's voice is valued and where professional growth and contribution to team success are highly encouraged. The pace is dynamic, suited for those who thrive in fast-paced settings!

When developing multi-threaded applications, I focus on ensuring thread safety by using synchronization mechanisms effectively. I also profile the application to identify bottlenecks and optimize performance, while thoroughly testing to prevent race conditions or deadlocks.

I have extensive experience using C++ in a Linux environment, particularly in performance-critical applications. I am well-versed in using tools like gdb for debugging and valgrind for memory management, ensuring efficient and robust code production.

In a previous project, I identified slow database queries as a bottleneck in our application. I optimized the SQL queries by adding appropriate indexing, which reduced the load time from several seconds to milliseconds, greatly enhancing user experience.

I believe effective communication is key when collaborating with quantitative analysts. I make sure to understand their requirements clearly and share my technical insights to propose feasible software solutions. Regular updates and feedback sessions help us align better.

I utilize profiling tools like gprof and valgrind for performance analysis, alongside system monitoring tools such as top and htop to track resource usage, enabling me to identify where optimizations can be made in our trading systems.

Testing is foundational in my development process. I implement unit tests to ensure code reliability and integration testing to confirm that components work together. This proactive approach helps in catching issues early and ensures quality delivery.

I stay updated by attending industry conferences, participating in coding forums, following tech blogs, and engaging in online courses. This continuous learning helps me incorporate modern practices and tools into my development work.

I am drawn to the Implementation Developer position at SCM due to its emphasis on innovation and collaboration in a fast-paced environment. I admire SCM's commitment to diversity and inclusion, and I believe my skills and passion will contribute to the company’s success.

I prioritize tasks by assessing their impact and urgency, communicating with stakeholders to align on priorities. Tools like Kanban boards help me track progress visually, which is effective in managing multiple projects efficiently.

When debugging complex issues, I take a systematic approach by reproducing the problem reliably, analyzing logs, and using debuggers to step through the code. I also involve peers for their perspectives, which often shed light on overlooked aspects.