Job Summary
We’re seeking a Senior Systems Developer / CloudOps Engineer to architect, implement, and manage the AWS infrastructure supporting our data‑driven operations. You’ll own our cloud systems, ensuring they are scalable, secure, resilient, and optimized for both performance and cost efficiency.
Key Responsibilities
- Architect and maintain cloud infrastructure on AWS, including networking, IAM, compute resources, containerization, databases, and storage solutions, ensuring high availability and fault tolerance.
- Implement and optimize CI / CD pipelines using services such as CodePipeline, GitHub Actions, ECS, ECR, and SageMaker to facilitate rapid, reliable software and model deployments.
- Use infrastructure‑as‑code tools (Pulumi or Terraform) to create reproducible, version‑controlled environments, automating operational tasks, monitoring, and self‑healing mechanisms.
- Ensure infrastructure adheres to best practices for security, encryption (KMS), access control, and compliance, implementing comprehensive logging, monitoring, auditing, and alerting frameworks.
- Collaborate with data engineering and machine learning teams to optimize services such as Glue, Lambda, Athena, Step Functions, and SageMaker for performance, cost, and scalability.
- Develop robust backup, disaster recovery, and business continuity plans, regularly testing failover mechanisms and data recovery scenarios.
- Work effectively with engineering, analytics, and credit risk teams to translate operational challenges into resilient cloud solutions.
Required Skills & Experience
Strong ownership mindset (end‑to‑end accountability)Passionate about continuous learning and improvement5+ years in cloud operations, DevOps, or infrastructure engineering rolesDeep expertise with AWS : VPC, VPN, EC2, ECS, Lambda, S3, EBS, IAM, KMS, CloudWatch, CloudTrailStrong skills in infrastructure‑as‑code (Pulumi preferred, Terraform acceptable)Proficiency in Python, Bash scripting, and automation toolsExperience in CI / CD pipelines (CodePipeline, GitHub Actions, Jenkins)Solid understanding of container orchestration (Docker, ECS, Kubernetes)Demonstrated knowledge of secure cloud architectures and data anonymization best practicesNice to Have
Experience with event‑driven architectures (Kafka, EventBridge)Familiarity with AWS SageMaker, including Feature Store and PipelinesPrevious experience in fintech, financial services, or mobile money ecosystemsInterest in ethical AI, responsible data practices, and financial inclusion#J-18808-Ljbffr