Key Responsibilities:

Technical Leadership: Lead and manage the full software development lifecycle, including architecture, design, coding, testing, and deployment of GreyMatter solutions.
Product Development: Collaborate with product management, design, and cross-functional engineering teams to deliver scalable, high-performance solutions that meet business needs.
Team Management: Mentor and guide software engineers by promoting best development practices, conducting code reviews, and driving technical excellence. Foster a culture of collaboration, continuous learning, and innovation.
Platform Optimization: Define and drive the architectural direction for platform scalability, reliability, and maintainability. Ensure software systems handle high transaction volumes, complex workflows, and real-time data processing efficiently.
Project Management: Oversee multiple development projects, ensuring timely delivery, quality compliance, and risk mitigation. Manage sprints, backlogs, and resource planning to meet delivery commitments.
Innovation: Stay abreast of emerging technologies across AI, cloud, and software engineering domains. Encourage experimentation and adoption of innovative tools and processes to improve performance and scalability.

Key Requirements:

Experience: Minimum 10 years of software development experience, including 2+ years in a technical leadership or managerial role.
Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Technical Expertise:

Strong proficiency in Java, Python, Golang, or Erlang.
Expertise in distributed systems, microservices, and API design.
Hands-on experience with RESTful and asynchronous API integrations.
Deep understanding of SQL and NoSQL databases, real-time data pipelines, and messaging systems (Kafka, RabbitMQ, etc.).
Proficiency in containerization (Docker, Kubernetes) and DevOps tools for CI/CD, automation, and monitoring.
Strong understanding of IoT frameworks and communication protocols (MQTT, CoAP, HTTP) and their integration with cloud and real-time systems.
Familiarity with version control, build management, testing tools, and scalable architecture design principles.

Leadership Skills:

Proven ability to lead and scale high-performing engineering teams.
Strong decision-making skills and capability to solve complex technical problems under pressure.
Excellent communication and collaboration skills across technical and non-technical teams.

Good to Have:

Exposure to serverless architectures and machine learning applications.
Experience with PostgreSQL, Redis, Kafka, RabbitMQ, Elastic, and other messaging technologies.
Knowledge of cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes).
Familiarity with Python or Shell scripting and time-series databases (e.g., InfluxDB).

Technical Manager