Fullstack Developer

Shift: 12:30 PM-9:30 PM

Notice period: Immediate to 15 days

Lead/Manager, Full Stack Development

Lead/Manager, Full Stack Development

Responsibilities

• Lead and mentor a team of full stack engineers, fostering a culture of technical excellence and collaboration.
• Architect, design, and develop scalable and robust full stack applications using

  Python

  and

  GoLang

  for backend services and

  React.js

  for front-end development.
• Manage the entire software development lifecycle, including planning, coding, testing, deployment, and maintenance.
• Design and manage databases using

  PostgreSQL

  , ensuring data integrity and performance.
• Utilize and manage services on

  AWS (Amazon Web Services)

  , including EC2, S3, RDS, and others, to deploy and scale applications.
• Implement and manage data processing pipelines using technologies like

  Apache Hadoop

  ,

  Apache Spark

  , and

  Apache Kafka

  .
• Develop and integrate machine learning models using

  TensorFlow

  to enhance application functionality.
• Build and maintain logging and monitoring systems using the

  Elastic Stack

  (

  Elasticsearch

  ,

  Logstash

  ,

  Kibana

  ).
• Collaborate with product managers, designers, and other stakeholders to translate business requirements into technical solutions.
• Conduct code reviews and ensure adherence to coding standards, best practices, and security protocols.

Qualifications

• 10-12 years

  of technical experience in software development, with a significant focus on full stack roles.
• Proven experience in a leadership or management position, leading a team of 5 or more engineers.
• Expertise in

  Python

  and

  GoLang

  for backend development.
• Strong proficiency in

  React.js

  and its ecosystem for front-end development.
• Extensive experience with relational databases, specifically

  PostgreSQL

  .
• Deep knowledge of

  AWS

  cloud services and architecture.
• Hands-on experience with big data technologies like

  Apache Hadoop

  ,

  Apache Spark

  , and

  Apache Kafka

  .
• Experience with machine learning frameworks, particularly

  TensorFlow

  .
• Familiarity with the

  Elastic Stack

  for data logging and analysis.
• Excellent problem-solving, communication, and interpersonal skills.
• A bachelors or masters degree in computer science or a related field.