Software Development Engineer - I

Software Development Engineer - I

What’s in it for you?

• Understand and analyze the business needs of customers, as well as their technical requirements.
• Develop and implement custom integrations, solutions, and reporting features throughout the customer lifecycle.
• Create data visualization dashboards tailored to specific customer requirements, based on the analysis of large datasets.
• Perform small enhancements to the product UI to address customers' business needs.
• Coordinate the deployment of user management integration with Mindtickle, collaborating closely with customers' technical teams.
• Implement and maintain integration workflows using ETL tools.
• Perform quality assurance and troubleshoot issues related to custom dashboards and integrations in collaboration with the product and development teams.
• Develop automation for custom integrations and implement effective alerting mechanisms.
• Collaborate with the product team to represent customer trends for consideration in the product roadmap.
• Identify and define opportunities for process improvement.

We’d love to hear from you, if you:

• 4–6 years of experience in enterprise software implementation or development with a proven track record of delivering high-quality solutions on time.
• Strong ownership and accountability across the full solution lifecycle, including scoping, development, deployment, and ongoing support.
• Exceptional communication and stakeholder engagement skills, with experience working closely with internal and customer-facing teams.
• Proficiency in Python and experience with frameworks/libraries like Flask, FastAPI, Pandas, PySpark, and NumPy.
• Hands-on experience building and maintaining scalable workflows and pipelines using Apache Airflow or equivalent orchestration tools.
• Advanced proficiency in writing complex SQL queries and working with relational databases such as MySQL, PostgreSQL, or SQL Server.
• Strong debugging skills and experience working with Unix/Linux systems, system calls, and log analysis.
• Experience developing and consuming REST APIs, with understanding of authentication standards like OAuth, SAML, JWT, and secure file exchange via SFTP.
• Working knowledge of AWS services, including EC2, S3, RDS, Lambda, VPC, and IAM, with experience deploying and managing solutions in cloud environments.
• Familiarity with logging and monitoring tools like Grafana, Loki, and AWS CloudWatch for system observability.
• Experience with AI/ML concepts such as classification, summarization, and recommendations, including practical integration of LLMs and GenAI workflows.
• Experience in web technologies including HTML, CSS, and JavaScript. Exposure to React or Golang is a plus.
• Proven ability to convert AI/ML models into APIs or embed into real-time decision workflows.
• Strong background in building data pipelines and performing ETL/ELT using Python or ETL platforms like Workato, Jitterbit, Informatica, or Dell Boomi.
• Experience with data lakes and cloud data warehouses like Snowflake, Redshift, or BigQuery is preferred.
• Hands-on experience in data visualization tools such as Tableau, JasperSoft, or Power BI, with the ability to create business-friendly dashboards.
• Comfortable working with analytics workflows involving A/B testing, funnel analysis, and KPI reporting.
• Experience integrating with external platforms or CRMs (e.g., Salesforce) and working on large-scale SaaS product ecosystems.
• Strong task management, prioritization, and ability to thrive in a fast-paced, ambiguous, cross-functional environment.
• Familiarity with usage analytics and reporting layer integration in products.
• Self-motivated and able to work independently with minimal supervision.
• Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or a relevant technical discipline.
 

Experience Level