A.P.T  Portfolio  is  a  high  frequency  trading  firm  that  specialises  in  Quantitative  Trading  & 
Investment.  The  Data  Engineering  team  works  on  the  integration,  consolidation, 
management  and  analysis  of  the  different  kinds  of  data  that  is  collected  from  the  firm's 
trading  activities   and   different   exchanges   we   trade   with.   The   team   also   works   on 
developing   the   firm's   quantitative   research,  modelling and  high-performance  computing 
infrastructure  for back-testing  and simulations  of  strategies. 
 
You  will be  part  of  a  team  that  is intellectually curious, creative, analytical, and passionate 
about building complex data infrastructure and digging into data for analysis and/or market 
research. 
 
Core Responsibilities: 
Responsible for the development, optimization, maintenance, configuration, and reliable 
operation of data processing and research pipelines on a large scale.  
 
• Configuration and Management of tools, open source software and in-house 
application binaries.  
• Explore latest data infrastructure, storage and automation tools and develop POCs 
for integration. 
• Improve on existing CI/CD pipelines and work towards developing a self-monitoring 
and self-resolving infrastructure. 
• Work on System Resiliency by setting up regular backup operations and 
implementing processes for data protection, disaster recovery, and failover 
procedures 
• Troubleshoot hardware and software errors by running diagnostics, documenting 
problems and resolutions, and assessing impact of issues 
• Dive into complex use cases of Kubernetes, Docker, Jenkins, Git, Nexus, Argo-CD, and 
any other new tools and technologies developed or adopted by the firm.  
• Take up extensive automation efforts using python, bash, Ansible, etc. to ensure that 
failures are minimized, alerts are improved and generated in time and appropriate 
stakeholders are informed. 
• Take up daily operations responsibilities in the team to monitor and support the 
data, analytics and research pipelines and triage with the product owners and 
developers to ensure zero production downtime.

Required Qualification / Skill Set: 
• Bachelors or Masters Degree, preferably in CS/IT with 3-5 years of relevant 
experience. 
• Understanding of the concepts and principles behind DevOps, Continuous Delivery, 
Agile, Lean, etc. 
• Strong Linux administration/Scripting/Debugging skills; preferably Bash and Python 
• Knowledge about Configuration Management tools like Ansible, Chef etc.
A proper understanding of Operating Systems and Networks.
• Must have strong grasp of automation & Scripting tools.
• Aptitude for quick analytical thinking along with debugging and troubleshooting
skills.
• Professional attitude, co-operative and mature approach to work, must be focused,
and structured.
• Exhibit a high level of individual initiative and ownership, effectively collaborate with
other team members.