Full Stack Developer (Expert)

Imizizi · Travel required · Python · JavaScript · TypeScript · SQL · ETL/ELT · 8 days ago
Smart Apply
Similar jobs
2,182,029open jobs
140,918companies
242,991added this week
Browse all
Location
In office (Pretoria)
Seniority
Senior
Employment
Full-Time

First seen by Alion on Nov 3, 2026.

Overview
Company
Impact
Profile match

Imizizi

About Imizizi Diversity and growth at our core Imizizi, from mizizi, the Swahili word for "root", is 100% Black female-owned. It was founded on a deeply rooted passion for people, skills development, and service delivery.
imizizi.co.za · HQ: Pretoria, South Africa
Tech stack of Imizizi
Reference: JHB001631-NS-1

ESSENTIAL SKILLS:


  • Expert software engineering capability with a strong record of designing, building, testing, deploying and

  • operating production-grade enterprise solutions.

  • Advanced Python and Java development, including clean code, object-oriented and functional design,

  • concurrency, performance optimisation, packaging and dependency management.

  • Strong data engineering capability across batch and event-driven ingestion, ETL/ELT, data transformation, data

  • modelling, data quality, metadata, lineage and large-scale processing.

  • Hands-on experience with APIs, microservices and integration patterns, including REST, GraphQL, messaging,

  • Kafka and contract-first development.

  • Cloud-native engineering experience, preferably AWS, including serverless, containers, storage, databases,

  • queues, identity, networking and observability.

  • AI engineering capability covering LLM-based applications, agents, retrieval-augmented generation, prompt

  • and context engineering, tool integration, evaluation, guardrails and human approval gates.

  • Ability to use AI-assisted development responsibly across specification, coding, review, testing, documentation

  • and operations while retaining accountability for correctness and security.

  • Strong systems thinking: understand end-to-end behaviour, dependencies, feedback loops, failure modes,

  • trade-offs and the wider organisational impact of technical decisions.

  • Out-of-the-box problem solving with the ability to simplify complex problems, challenge assumptions,

  • prototype alternatives and convert successful approaches into reusable patterns.

  • Engineering excellence across automated testing, secure coding, code review, CI/CD, Infrastructure as Code,

  • version control and production-readiness practices.

  • Ability to translate business and system requirements into maintainable architecture, technical designs,

  • implementation plans and measurable engineering outcomes.

  • Clear communication and technical leadership across multidisciplinary, distributed and multicultural teams.

  • Adaptability to perform additional tasks under the Agile Working Model (AWM) Charter.



ADVANTAGEOUS SKILLS:


  • Experience in automotive, mobility, manufacturing or a large multinational enterprise environment.

  • Knowledge of enterprise data products, federated data platforms, Digital Twin concepts, semantic models,

  • knowledge graphs and ontologies.

  • Experience with Apache Spark, Kafka, SQL and NoSQL technologies, and modern lakehouse or warehouse

  • patterns.

  • Exposure to TypeScript/JavaScript and modern frontend frameworks such as Angular or React.

  • Experience with Docker, Kubernetes, Terraform, GitHub Enterprise and GitHub Actions.

  • Knowledge of observability, SRE, incident management, resilience engineering and service management

  • practices.

  • Understanding of privacy, information protection, data governance, retention, cross-border data handling and

  • responsible AI controls.

  • Ability to mentor engineers, lead technical design reviews and improve engineering standards across teams.

  • High ownership, curiosity, integrity, resilience and a continuous-learning mindset.

  • Willingness and ability to travel internationally when required.

Duties & Responsibilities ROLE & RESPONSIBILITIES:
  • Design, build, test, deploy and operate secure, scalable and maintainable DVF software, data products and platform capabilities.
  • Own technical delivery from discovery and design through implementation, release, monitoring, support and continuous improvement.
  • Develop high-quality Python and Java components for data processing, APIs, microservices, automation, integration and platform services.
  • Engineer reliable batch and event-driven data pipelines with clear contracts, validation, observability, lineage
  • and recoverability.
  • Build AI-enabled solutions and reusable engineering accelerators, including agents, RAG patterns, tools,
  • prompts, context packages, evaluations and guardrails.
  • Apply specification-driven and AI-assisted development practices, using human approval gates for
  • architecture, security, quality and production changes.
  • Take a systems view of DVF, identifying cross-subsystem impacts, dependencies, bottlenecks, failure modes
  • and opportunities to simplify the landscape.
  • Challenge conventional approaches, rapidly prototype options and turn validated ideas into governed, reusable
  • patterns and production solutions.
  • Produce and maintain architecture views, technical designs, interface contracts, decision records, runbooks and implementation documentation.
  • Implement automated unit, integration, contract, component, performance and regression tests as appropriate.
  • Build and maintain CI/CD pipelines, Infrastructure as Code, security scanning, dependency management and quality gates.
  • Ensure solutions meet requirements for security, privacy, data governance, information protection, auditability,
  • resilience and operational support.
  • Use telemetry and operational feedback to improve reliability, performance, cost efficiency and developer experience.
  • Lead code reviews and technical design reviews, mentor engineers and promote consistent engineering standards and reusable solutions.
  • Collaborate with Product Owners, Systems Analysts, Architects, Data Engineers, Test Engineers, Operations and Security to resolve ambiguity and deliver measurable outcomes.
  • Support PI planning and sprint execution by refining technical work, identifying dependencies and risks, and
  • providing realistic implementation options.
  • Communicate technical decisions, progress, risks and trade-offs clearly to technical and non-technical stakeholders.
  • Contribute to the evolution of DVF into an AI-native, federated data-product organisation with shared platform, quality and AI enablement capabilities.

QUALIFICATIONS/EXPERIENCE:
  • Relevant degree or diploma in Computer Science, Software Engineering, Information Technology, Data
  • Engineering or a related field.
  • Typically, seven or more years of relevant software engineering experience, including responsibility for complex production systems.
  • Demonstrable expert-level delivery using Python and/or Java, with strong data and integration engineering experience.
  • Practical evidence of AI-assisted or AI-native engineering, including evaluation, governance and accountable human review.
  • AWS, Java, Python, data engineering, architecture, DevOps, Kubernetes, Terraform, Agile or AI-related certifications are advantageous.

Submit your CV to: [email protected] and Subject line Role title
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,182,029 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Backend
Similar stack
Same company
Pretoria
Remote (South Africa) · Full-Time · Johannesburg
Java
Apply
$22k – $47k per year (gross) · In office · Full-Time · Centurion
Python
Java
SQL
Python
Flask
FastAPI
Django
Java
Spring Boot
AI/ML
Machine Learning
DevOps
Rest API
CI/CD
Git
Docker
Kubernetes
Management
Agile
Apply
In office · Full-Time · South Africa
Analytics
Microsoft Excel
Apply
In office · Full-Time · South Africa
Python
JavaScript
TypeScript
SQL
Node JS
Databases
PostgreSQL
Redis
DevOps
Rest API
CI/CD
Git
AWS
Docker
Apply
Application Developer 10 hours ago
In office · Full-Time · Cape Town
SQL
C#
C#
.NET
Databases
MS SQL
Management
Agile
Apply
In office · Full-Time · Pretoria
Python
JavaScript
SQL
C#
DevOps
Rest API
Analytics
Microsoft Excel
Apply
In office · 5+ years exp · Pretoria
DevOps
SOPS
Apply
In office · 2+ years exp · Pretoria
Apply
In office · 6+ years exp · Bachelor's Degree · Pretoria
Apply
In office · 3+ years exp · Pretoria
Analytics
Microsoft Excel
Apply
See all jobs
This is one of many
2,182,029 more open roles from verified company boards, updated every day.
Browse all jobs Get matched roles