About KX:
At KX, we build time-series, vector-native database solutions our customers use to unlock knowledge and predictive power they can act on with confidence. By simultaneously supporting unstructured and structured data, KX powers accurate, highly contextual results for AI and automation applications with transformative speed, unlimited scalability, and extremely low computing costs. Customers across financial services, manufacturing, telecommunications, life sciences, and aerospace and defence industries use KX to enable real-time processing of vast time-series datasets, improve operational efficiency, speed up discovery, and enhance real-time situational awareness and cybersecurity. With a proven track record of years of customer success, KX operates from more than offices across North America, Europe, and Asia Pacific.
Role Overview:
As an Engineering Manager for Real-Time Analytics at KX, you'll lead a team dedicated to developing and enhancing our high-performance, scalable solutions for real-time data processing. Your leadership will be instrumental in driving the technical direction and growth of our real-time analytics offerings, ensuring they exceed the expectations of our diverse, global clientele.
Responsibilities:
• Lead the development and delivery of scalable, high-performance real-time analytics solutions using KX technology.
• Mentor and manage a team of software engineers, fostering a culture of innovation and continuous improvement.
• Collaborate with product management and other stakeholders to define product vision and roadmap for real-time analytics capabilities.
• Ensure software development best practices are maintained, including agile methodologies, code reviews, and automated testing.
• Drive technical excellence, pushing for innovations and optimizations that meet the challenges of processing large-scale time-series data.
• Engage with customers and partners to gather feedback and ensure our solutions meet market needs and expectations.
• Stay abreast of the latest trends and technologies in real-time analytics and time-series databases, incorporating them into our strategy and products.
Requirements:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of years of experience in software development, with at least years in a leadership role.
• Strong background in developing real-time analytics solutions, preferably with experience in time-series databases.
• Proficiency in technologies relevant to real-time analytics, such as KX, Kafka, Spark, Flink, and real-time visualization tools.
• Demonstrated ability to lead and mentor software engineering teams.
• Excellent problem-solving skills and the ability to work collaboratively across teams.
• Strong communication skills, capable of engaging with both technical and non-technical stakeholders.
Benefits:
• A salary that reflects the candidate’s experience, our pay policy, and the labor market.
• Individually tailored training and skills development.
• Private healthcare package, including coverage for partners and children.
• Employee Assistance Programme providing access to mental health support.
• Generous maternity and paternity package.
• "KX For Good" Program, offering Volunteer Days to actively participate in initiatives that make a positive impact in our local communities.
Why Choose KX?
• Curious by Nature: Engage in dedicated weekly learning sessions, exploring uncharted domains and acquiring data-driven expertise.
• In it Together: Make a positive difference through our "KX For Good" volunteer initiatives.
• Recognize & Celebrate: Benefit from our reward and recognition framework, celebrating every milestone in your journey.
Join the KX family and contribute to shaping the future of technology. To learn more about KX and apply, please visit
Note: Candidate personal data will be handled according to our Global Candidate Privacy Notice. KX is an equal opportunity employer committed to OFCCP compliance.