Technical Manager - Distributed Systems

Role Overview :

We are looking for a Technical Manager to lead the Software Development efforts for GreyMatter Solutions.

As the Technical Manager, you will spearhead the development, focusing on designing, developing, and scaling highly reliable and robust software that powers the core functionalities of our GreyMatter product.

Your role will be pivotal in guiding the team to deliver high-quality software solutions that enhance our platform's ability to handle the complex, real-time demands of modern warehouse operations.

This role is ideal for a technically strong leader with hands-on software development experience, a passion for innovation, and proven expertise in managing teams to build world-class software products.

Key Responsibilities :

1. Technical Leadership :

- Lead and manage the software development life cycle of the team, including architecture, design, coding, testing, and deployment of GreyMatter solutions.

2. Product Development :

- Work closely with product management, design, and other engineering teams to develop scalable solutions that align with business needs and deliver seamless performance in high-stakes environments.

3. Team Management :

- Mentor and lead a team of software engineers, providing guidance in best practices for software development, code reviews, and technology stack choices.

- Foster a culture of collaboration, continuous learning, and innovation within the team.

4. Platform Optimization :

- Drive the architectural direction for our platform, focusing on scalability, reliability, and maintainability.

- Ensure that the software components are designed to handle high transaction volumes, complex workflows, and real-time processing.

5. Project Management :

- Manage multiple development projects, ensuring timely delivery of features, adherence to quality standards, and risk mitigation.

- Oversee sprint planning, backlog management, and resource allocation.

6. Innovation :

- Stay up-to-date with the latest trends in AI, cloud technologies, and software engineering practices.

- Drive innovation by experimenting with new technologies and processes to enhance performance and capabilities.

Requirements :

1. Experience :

- 10+ years of software development experience with at least 2+ years in a technical leadership or management role.

2. Education :

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

3. Technical Expertise :

- Strong proficiency in programming languages such as Java, Python, Golang OR Erlang.

- Expertise in designing and developing distributed systems, microservices, and APIs.

- Experience working on REST and asynchronous API integration.

- Deep understanding of database technologies (SQL, NoSQL), real-time data processing, and messaging systems (Kafka, RabbitMQ, etc.).

- Strong knowledge of containerization (Docker, Kubernetes) and DevOps practices (CI/CD, monitoring, automation).

- Experience with IoT (Internet of Things) technologies: Strong understanding of IoT frameworks and communication protocols (e.g., MQTT, CoAP, HTTP), and how these technologies integrate with cloud platforms and real-time systems.

- Good understanding of version control systems, build management and testing technologies.

- Design principles for scalable architecture.

4. Leadership Skills :

- Proven experience in managing and growing high-performing engineering teams, fostering collaboration, and driving engineering excellence.

5. Problem-Solving Skills :

- Ability to handle complex technical challenges, make sound decisions under pressure, and creatively solve problems with a focus on results.

6. Communication Skills :

- Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

Good to Have :

- Exposure to serverless technologies.

- Application of machine learning for problem solving.

- Exposure to various databases and messaging technologies like PostgreSQL, Redis, Kafka, RabbitMQ, Elastic etc.

- Knowledge of Container, Kubernetes and cloud-based deployment environments (AWS, GCP, Azure Cloud etc.).

- Knowledge of developing scripts in Python, Shell etc.

- Knowledge of working with Time Series databases (Influx etc.).

Skills

Python, Golang, Erlang, Distributed Systems, Microservices Architecture, SQL, Kafka, RabbitMQ, Redis, System Design