Software Engineer

• Participates in developing strategies and long-term plans for researching new or projected operating systems and complete software architecture.
• Researches, analyzes and proposes new software architecture designs and evaluates and recommends enhancements to existing software architecture.
• Designs, researches and develops components of software architecture.
• Coordinates and/or provides technical direction on integration of new complex technologies with overall software architecture.

SCOPE OF RESPONSIBILITY:

• Significant impact on execution to budget.

ESSENTIAL JOB FUNCTIONS:

• Experienced in Agile Methodology and has worked on development of software products in sprint based execution
• Has worked in a product development environment for 2+ years delivering revisions and enhancements to base product code with SDLC methodology
• Defines and executes development tracks through epics and stories, tracks JIRAs to completion
• Ensures that the development JIRAs stay updated and smooth communication exists between architect, Program lead and the team
• Leads the team to ensure on time and at budget delivery
• Demonstrates accurate, detailed knowledge of the identified software as we'll as the supply chain domain and business processes related to it
• Provides consistent and timely project status reports to the Program Lead
• Provides timely issue resolution and escalates high priority items when needed
• Provides leadership to software engineers through knowledge sharing, training materials and on-site shadowing when needed
• Works with Sales, Professional Services and Customer Support to improve quality of software and service solutions, consulting proposals and customer satisfaction

Essential Technology Requirements:

• Good technical knowledge of Python, Linux, Elasticsearch, Kibana, Logstash, GraphQL, Practical application of Machine Learning, AI (2+ years of experience desirable)
• Should have good knowledge on web applications developed on Elasticsearch, Kibana and Logstash
• Knowledge on AWS and other Cloud platforms is a big plus
• Knowledge of common scripting languages and tools like Python
• Competent with noSQL databases like MongoDB and Elasticsearch.
• Exposure to ETL tools used to engineer data pipelines and connectors for monitoring / analytics use cases.
• Knowledge on dashboard building technologies like PowerBI, New Relic, ELK stack etc