We are seeking a talented Software Developer to join our engineering team. The ideal candidate will take end-to-end ownership of applications and systems, bridging the gap between infrastructure and feature development. You will build and maintain cloud-native solutions using modern AWS services and Databricks, with a focus on scalability, reliability, and operational excellence. This role combines development expertise with operational accountability, you own the code, the infrastructure, and the impact.
Role & responsibilities
Development & Architecture
Design and build scalable backend services leveraging AWS Lambda, ECS, and AWS Copilot for deployment and orchestration.
Architect data pipelines and analytics solutions using Databricks, Unity Catalog, and Apache Spark to process large-scale energy market and operational data.
Design and implement data storage strategies using S3 for data lakes, DynamoDB for high-performance NoSQL workloads, and RDS/MongoDB Atlas for relational and document databases.
Ownership & Operations
Own the full lifecycle of assigned solutions: from design through production support, including monitoring, alerting, and incident response.
Proactively identify and resolve production issues, conducting root cause analysis and implementing preventive measures.
Leverage observability stacks (e.g., Elastic) and AWS CloudWatch to monitor application and data pipeline performance, set up dashboards, and maintain system up time.
Establish and maintain operational runbooks, alerting policies, and SLAs for systems under your ownership.
Collaboration & Continuous Improvement
Work closely with cross-functional teams (product, data engineering, platform teams) to deliver integrated solutions.
Establish best practices for development, testing, and deployment, advocate for process improvements and tooling enhancements.
Participate in design reviews, code reviews, and architectural discussions to maintain high standards of code quality and system design.
Share knowledge with the team through documentation, pair programming, and knowledge-sharing sessions.