Technical Manager

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).