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Senior Software Engineer (Tech Lead, Data Platform)
Phaidra
Engineering & Technology
IT & Telecoms
GHS
Confidential
1 month ago
Job Summary
We are looking for a driven Software Engineer (Backend) to be a part of our growing Data Platform team. You are bold and creative, and have deep empathy for customers who may not be tech-savvy. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.
- Minimum Qualification: Degree
- Experience Level: Senior level
- Experience Length: 7 years
Job Description/Requirements
Responsibilities
- Build and design scalable components for the Data platform to allow high throughput data ingestion & data processing, which feeds the data into agents doing realtime inference for autonomous control of industrial systems.
- Design and develop systems to store and serve batch data for agent training or analytics.
- Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.
- Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.
- Design and optimize data storage & retrieval mechanisms for high throughput, security & ease of access.
- Perform DevOps duties of CI/CD, Release & Deployment management.
- Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.
- Lead cross-functional initiatives and collaborating with engineers, product managers and TPM across teams.
- Mentor your peers and be a technical role-model in the team.
Key Qualifications
- 7+ years of work experience.
- Bachelors or Masters in Computer Science, or equivalent experience.
- Expertise with production Software Engineering - relational and non-relational data modeling, micro-services, understanding of event driven systems, etc.
- Strong experience building large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and statistics/metrics collection.
- Exposure to distributed data processing in python using frameworks like Spark, Pandas, Ray, Modin or Dask.
- Experience as a service owner of a realtime production system - operating & monitoring services in production, including using observability tooling such as Prometheus, Grafana, Tempo or equivalent offerings and incident management.
- Share our company values: curiosity, ownership, transparency & directness, outcome-based performance, and customer empathy.
- Experience with building applications that can be deployed in cloud, hybrid or on-prem environments.
- Experience with latest batch & realtime data processing, storage & service technologies.
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