Engineering Manager
Engineering Manager
HuntingCube10-12 Years
- Posted 9 hours ago
- Be among the first 10 applicants
Job Description
Job Description
About the job Responsibilities Lead, mentor, and manage a team of 5–10 engineers, driving collaboration and technical excellence. Provide architectural vision and hands-on guidance in system design, performance optimization, and code reviews. Own the roadmap for core backend systems — from planning to execution and delivery. Partner with AI/ML, product, and cross-functional teams to design scalable, secure, and fault-tolerant solutions. Establish and uphold engineering best practices in testing, CI/CD, observability, and Agile methodologies. Build and scale distributed systems ensuring high availability and performance. Play an instrumental role in hiring and developing technical talent within the engineering team. Requirements 10+ years of full-time engineering experience, including at least 3-4 years of people management. Strong proficiency in Java (Core, Spring Boot, Spring MVC); Python is a plus. Deep understanding of distributed systems, microservices, and scalable backend architecture. Proven success in 0–1 product journeys and high-scale B2C environments (acquisition, conversion, retention). Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Exposure to LLM fine-tuning and vector databases is an advantage. Strong grasp of CI/CD pipelines, Git, and Agile delivery processes. Excellent leadership, problem-solving, and communication skills with the ability to collaborate cross-functionally.
Required Skills
[Python Java]
Additional Information
NA
About the job Responsibilities Lead, mentor, and manage a team of 5–10 engineers, driving collaboration and technical excellence. Provide architectural vision and hands-on guidance in system design, performance optimization, and code reviews. Own the roadmap for core backend systems — from planning to execution and delivery. Partner with AI/ML, product, and cross-functional teams to design scalable, secure, and fault-tolerant solutions. Establish and uphold engineering best practices in testing, CI/CD, observability, and Agile methodologies. Build and scale distributed systems ensuring high availability and performance. Play an instrumental role in hiring and developing technical talent within the engineering team. Requirements 10+ years of full-time engineering experience, including at least 3-4 years of people management. Strong proficiency in Java (Core, Spring Boot, Spring MVC); Python is a plus. Deep understanding of distributed systems, microservices, and scalable backend architecture. Proven success in 0–1 product journeys and high-scale B2C environments (acquisition, conversion, retention). Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Exposure to LLM fine-tuning and vector databases is an advantage. Strong grasp of CI/CD pipelines, Git, and Agile delivery processes. Excellent leadership, problem-solving, and communication skills with the ability to collaborate cross-functionally.
Required Skills
[Python Java]
Additional Information
NA
More Info
Key Skills
CI CD
Scalable Backend Architecture
About Company
Skills:
data compression , Java, Machine Learning, Distributed Computing, C++, CSS, Networking, HTML, Typescript, Javascript, System Design, User Interface Design, Python, GenAI, Generative AI, Go, Security, Precision recall
Skills:
containerization , Storm, Orchestration, Cassandra, Kafka, Informatica, Spark Core, Azure Cloud, Sqoop, Talend, Python, Java, Flume, Scala, Dynamodb, HBase, Kubernetes, Big Data Architecture Patterns, Flink, Pub Sub, Big Table, CI CD pipelines, Pulsar, NiFI
Skills:
data vault , snowflake , Ml, Kafka, Sql, Gcp, Spark, Python, AWS, Airflow, GenAI, Ai, dbt
Skills:
containerization , Java, C#, Javascript, Gcp, Azure, Python, AWS, Agile Scrum methodologies, DevOps practices, Microservices architecture, CI/CD
Skills:
Databases, Algorithms, Distributed Technologies, Graphql, API design, Distributed Systems, Apache Kafka, Kubernetes, Pinot, systems-design, large-scale systems, Venice, Datahub, Azkaban, Samza, Backend APIs, Feather, GRPC