Senior Software Engineer

RTS Labs is hiring a Senior Software Engineer to lead the design and implementation of scalable, reliable software solutions. The role provides technical direction, solves complex engineering problems, delivers major projects, and mentors engineers while collaborating across teams.

Responsibilities:

• Lead the design and development of large-scale, complex software systems with contributions from multiple teams
• Influence architectural decisions and set technical direction for critical projects, ensuring scalability, performance, and security
• Solve the most challenging technical problems, breaking down complexity into actionable solutions
• Consistently deliver large projects on time and at a high level of quality, managing risks and aligning with business objectives
• Anticipate broad changes in technology and propose forward-thinking solutions to keep RTS ahead of the curve
• Mentor and coach peers across immediate and adjacent teams, fostering a culture of continuous learning and improvement
• Actively contribute to cross-functional collaboration, working with product managers, data engineers, and other stakeholders to deliver high-quality solutions
• Develop and introduce systems, tools, or policies that enhance productivity and operational efficiency
• Stay abreast of emerging technologies, bringing innovative ideas to the team that enable multiple potential futures
• Lead discussions on major functional directions and strategic initiatives, influencing decisions that have a direct impact on the company's long-term success
• Support a positive, inclusive, and engaging culture within the team and the broader organization

Requirements:

• 5-8 years of professional experience in software engineering, with a proven track record of leading large, complex projects
• Broad expertise in software architecture, cloud platforms (AWS, Azure, Google Cloud), and modern development frameworks
• Proficiency in programming languages such as Python, Java, or JavaScript, and familiarity with containerization tools (Docker, Kubernetes)
• Deep understanding of data structures, algorithms, and system design principles
• Strong problem-solving skills with the ability to quickly break down complex issues into actionable solutions
• Experience mentoring and coaching engineers, fostering a culture of growth and collaboration
• Experience with big data technologies (Hadoop, Spark) and database management (SQL, NoSQL)
• Familiarity with CI/CD pipelines and DevOps practices
• Knowledge of machine learning and AI integration in software applications
• Agile project management experience (Scrum, Kanban)