Engineering Manager

Role & responsibilities

Overview:

As an Engineering Manager at Concentric AI, you will be responsible for leading and managing a team of talented engineers in the development and delivery of high-quality software solutions. You will play a crucial role in driving technical excellence, fostering a collaborative team environment, and ensuring the successful execution of projects.

Responsibilities:

• People Management:

• Lead, mentor, and coach a team of software engineers, fostering a culture of innovation, collaboration, and continuous improvement.
• Set clear goals and objectives for the team and individuals and provide regular feedback and performance evaluations.
• Develop and implement strategies to attract, retain, and develop top engineering talent.
• Manage resource allocation, capacity planning, and workload distribution to optimize team productivity and efficiency.
• Collaborate with other engineering managers and department heads to prioritize initiatives and allocate resources effectively.

• Technical Leadership:

• Provide technical guidance and expertise to the team, ensuring alignment with best practices, architectural standards, and industry trends.
• Collaborate with cross-functional teams to define technical requirements, identify solutions, and drive architectural decisions.
• Totally understand the product and contribute to the product road map.

• Project Management:

• Oversee the planning, execution, and delivery of software projects, ensuring adherence to timelines, budget, and quality standards.
• Work closely with product managers, stakeholders, and customers to understand requirements, prioritize tasks, and mitigate risks.
• Resolve day-to-day project problems or team conflicts, strategize and manage project timelines

Qualifications:

• Bachelor's or master's degree in computer science, Engineering, or related field.
• Minimum of 5 years of experience in software engineering, with expertise in Java Spring boot, Kafka, Kubernetes, Docker -> Good to Have
• Proven track record of at least 2 years in a technical management role, leading high-performing engineering teams.
• Strong understanding of software development lifecycle, methodologies, and best practices.
• Excellent leadership, communication, and interpersonal skills, with the ability to inspire and motivate team members.
• Solid understanding of cloud technologies (AWS, Azure, Google Cloud) is a plus.
• Has good exposure working with high scale Enterprise production applications.
• Knowledge of container-based development & deployment (e.g. Dockers, rkt)
• Should have worked for cloud-based applications, built on micro services-based paradigms, achieving horizontal scaling.
• Good hands on and understanding of Event-Driven Architecture (Kafka, RMQ) Elasticsearch, SQL, NoSQL, K8s, Kafka streams, etc