Posted:16 hours ago|
Platform:
On-site
Full Time
As a Senior Engineering Manager at IOL, you will lead a high-performing engineering team
responsible for building and scaling our B2B hospitality marketplace, which processes
billions of searches, price verifications, and bookings daily. This role combines technical
leadership with hands-on contributions, including code reviews and building proofs of
concept (PoCs). You will mentor engineers, drive hiring initiatives, and shape the technical
vision for our platform, ensuring robust, scalable, and innovative solutions. With a focus on
technologies like Golang, Python, and Elasticsearch, you will guide the team in optimizing
performance and delivering seamless experiences for our demand and supply partners.
o 10+ years of software engineering experience, with at least 3 years in a technical leadership or engineering management role.
o Proven track record of hiring, mentoring, and scaling high-performing engineering teams.
o Extensive hands-on experience with Golang and Python in production environments.
o Strong background in performing code reviews and building PoCs to drive technical decisions.
o Deep expertise in Golang and Python for building scalable, high-performance systems.
o Proficiency with Elasticsearch for search, indexing, and analytics in large- scale datasets.
o Familiarity with distributed systems and big data technologies (e.g., Apache Spark, Kafka, Redis).
o Experience with cloud platforms (e.g., AWS, Azure, GCP) for deployment and scaling.
o Knowledge of version control systems (e.g., Git) and CI/CD pipelines (e.g., Azure DevOps).
o Exceptional ability to mentor engineers, resolve conflicts, and foster professional growth.
o Strong problem-solving skills to address complex technical and team challenges.
o Excellent communication skills to collaborate with cross-functional teams and present to stakeholders.
• Experience in the hospitality or travel industry, particularly with search or booking systems.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) or predictive modeling.
• Knowledge of real-time data streaming and event-driven architectures (e.g., Apache Kafka).
• Exposure to Azure cloud services (e.g., Azure App Service, Azure SQL Database, KeyVault).
• Experience optimizing systems for resource-constrained or low-latency environments.
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