Developer - 2

Job Description The Developer will support the Capability Manager in building and maintaining FNB’s enterprise‑grade data pipelines, API integrations, and intelligent digitisation solutions.

Minimum Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
• 3–7+ years of experience in software, data, or API engineering.
• Hands‑on experience in AI‑based digitisation, OCR, or ML model integration advantageous.
• Previous experience in financial services, digital platforms, or regulated industries beneficial.

Responsibilities

• Design, build, test, and deploy high‑performance data pipelines (batch, near‑real‑time, streaming).
• Implement data quality validations, lineage tracking, and metadata/catalogue integration.
• Optimise dataflows for performance, scalability, observability, and cost efficiency.
• Automate ingestion from structured, semi‑structured, and unstructured sources.
• Develop secure, reusable, well‑documented REST/GraphQL/gRPC APIs.
• Implement API lifecycle processes including versioning, testing, publishing, and monitoring.
• Integrate APIs with internal systems, digital channels, and partner ecosystems.
• Apply FNB API governance standards, security patterns, and architectural principles.
• Build and fine‑tune OCR, computer vision, and LLM‑based extraction models.
• Develop intelligent agents capable of performing validation, classification, and contextual reasoning.
• Implement pipelines for structured data extraction from: ID documents
• Payslips
• Bank statements
• Proof of address
• Handwritten documents
• Assist with accuracy testing, model retraining loops, and MLOps monitoring.
• Develop solutions for Azure/AWS/GCP cloud environments.
• Implement CI/CD pipelines, automated testing, containerisation, and orchestration (Docker/Kubernetes).
• Apply infrastructure‑as‑code (IaC) where required (e.g., Terraform, ARM, CloudFormation).
• Support MLOps pipelines for packaging, deploying, and monitoring models.
• Write clean, maintainable code following FNB’s coding, security, and architectural guidelines.
• Conduct code reviews, peer validations, and participate in design discussions.
• Ensure SLA‑aligned monitoring, alerting, observability, and operational excellence.
• Support the Capability Owner in maintaining the engineering standards playbook.
• Work within Agile squads (Scrum/Kanban) to deliver sprint commitments.
• Translate business and capability requirements into technical solutions.
• Collaborate with architecture, security, risk, compliance, and business stakeholders.
• Support backlog refinement, estimation, solution design, and technical documentation.
• Implement secure coding practices, encryption standards, and IAM patterns.
• Adhere to POPIA, internal audit, and regulatory requirements.
• Apply responsible AI principles when working with document extraction models.
• Maintain documentation required for risk management and IT governance.
• Proficiency in Python , Java , or Scala for data and API engineering.
• Experience with modern data engineering tools such as: Spark, Kafka, Airflow, Databricks, Azure Data Factory
• API frameworks and standards: REST, GraphQL, gRPC , OpenAPI/Swagger
• Cloud platforms (one or more): Azure, AWS, GCP
• Containerisation & orchestration: Docker, Kubernetes
• CI/CD and DevOps tooling (Git, Jenkins, Azure DevOps, Argo, etc.)
• OCR frameworks: Tesseract, Azure OCR, AWS Textract, Google Vision
• Computer vision libraries: OpenCV, TensorFlow, PyTorch
• LLM/agent frameworks: LangChain, Hugging Face, OpenAI APIs
• Experience with data extraction from complex financial/ID documents is a strong advantage.
• SQL/NoSQL databases
• Data modelling & ETL design
• Logging & monitoring: ELK, Prometheus, Grafana, Splunk
• Strong analytical and problem‑solving skills.
• Ability to work independently and within collaborative teams.
• Clear and structured communicator.
• High attention to detail and quality assurance.
• Customer‑centric and business‑outcome‑focused mindset.
• Willingness to learn emerging technologies (LLMs, intelligent agents, cloud engineering).
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
• 3–7+ years of experience in software, data, or API engineering.
• Hands‑on experience in AI‑based digitisation, OCR, or ML model integration advantageous.
• Previous experience in financial services, digital platforms, or regulated industries beneficial.
• Data Engineers
• API Engineers
• Machine Learning Engineers
• Architects
• Security & Risk Teams
• Business Product Owners
• Intelligent Automation Squads