Senior Software Engineer - Full Stack Development

Job Description

Your Role :

We are expanding globally and so we are looking for Senior Software Engineers.

Your role will sit within an Agile team developing products deal with a variety of applications and broad set of technologies, datasets and cross industry requirements. You will help drive the development and integration of these products. We will need you to ensure adherence to best practice in building modern software architectures with well-designed APIs.

Main Responsibilities

 

• Lead implementation and delivery ensuring coding, unit testing, system integration, defect resolution, and technical documentation adheres to our standards.
• Proactively identify problems with requirements and communicates these issues early to help course correct.
• Assist in troubleshooting and support efforts for existing systems and applications, focused on improving our existing systems and applications.
• Promote shared ownership of code though code reviews, standards, and documentation.
• Participate in the definition and implementation of the engineering team roadmap.
• Provide coaching and mentoring to junior engineering team members.
  
   

Qualifications

 

• 5+ years of proven experience in full stack software development
• Strong background in a combination of the following: Python, TypeScript, AWS serverless technologies, Glue, Athena.
• Solid knowledge of modern enterprise and cloud architectures (e.g. microservices, serverless, event driven, reactive) and containerization methodologies.
• Hands on experience with AWS cloud services.
• Expert level knowledge of multiple technology stacks, object-oriented design approaches and enterprise design patterns.
• Strong data engineering foundation gained in developing commercial applications with traditional (Postgres) and NOSQL databases (DynamoDB).
• Strong experience of modern CI/CD practices.
• Hands on experience with application optimization, scaling, and security. Particularly caching strategies, and large-scale distributed computing.
• Good written and oral communication skills.
• Good analytical and problem-solving skills.
  
   

Expectations

 

• Excellent analytical and problem-solving skills with strong attention to details
• Strong written and oral communication skills
• Strong organization and planning skills, with the ability to manage multiple priorities simultaneously.
• Commitment to excellence and meeting high quality standards expected by our clients
• Experience in working in different delivery methodologies and an understanding of their benefits/constraints.
• We are a hybrid working company and the successful applicant will be expected to be physically present in the office at least 2 days per week to foster and contribute to a collaborative environment, but this may be subject to change in the future.
• Due to the global nature of the team, a degree of flexible working will be required to accommodate different time zones.
  
   

Leadership

 

• Lead a culture of product development where solving problems for our customers is the highest priority.
• Act as and be seen as a respected and trusted technology advisor within technology and across the business.
• Identify emerging technologies or applications and the opportunities to integrate them into our operations and activities.
• Communicate effectively across functions as required.
  
   

Collaboration

 

• Work in collaboration with team members to perform scoping, estimation, and technology feasibility tasks for the intended solution.
• Manage dependencies among engineering activities and constantly monitor, assess, and control the technical execution.
• Address technical queries and elicit, prioritize, and negotiate changes to requirements and defects.
• Contribute to system and data issue identification and resolution within teams across the organization.
  
   

Quality

 

• Anticipating technical problems that will fall out of major products and designing solutions to overcome those problems.
• Promote a culture of code quality and continuous improvement.
• Drive the importance of data accuracy from internal and external sources.