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Backend Engineer
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General Details
Location:
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description
As a Backend Developer, you will be the architect of our application's "brain." You will design, build, and maintain the server-side logic, ensure high performance and responsiveness to requests from the frontend, and manage the complex data orchestration that powers our platform. In 2026, this role specifically requires a "security-first" mindset and experience with distributed, cloud-native environments.
What you'll do:
- System Architecture: Design and implement scalable, resilient backend services using microservices or modular monolithic patterns.
- API Excellence: Build and document robust RESTful, GraphQL, or gRPC APIs that serve as seamless interfaces for web and mobile clients.
- Data Management: Design optimized database schemas (SQL/NoSQL), manage data pipelines, and implement efficient caching strategies (e.g., Redis).
- Security & Compliance: Implement zero-trust security protocols, including OAuth2, JWT, and data encryption at rest and in transit.
- Performance Optimization: Use observability tools (Prometheus, Grafana) to identify bottlenecks and optimize code for low-latency execution.
- Cloud & DevOps: Containerize applications using Docker/Kubernetes and manage CI/CD pipelines to ensure continuous, automated delivery.li>
- AI Integration: Work with AI/ML teams to integrate LLM endpoints and manage the data flows required for generative AI features.
Your Expertise:
- Languages: Proficiency in at least one: Go, Java (Spring Boot), Python (FastAPI/Django), or Node.js.
- Databases: PostgreSQL, MySQL, MongoDB, or Cassandra; experience with vector databases is a plus.
- Infrastructure: Experience with AWS/Azure/GCP, Docker, and Kubernetes.
- Communication: Deep understanding of message brokers like Kafka or RabbitMQ for event-driven architecture.
- Quality: Strong focus on unit, integration, and end-to-end testing (TDD/BDD).
Qualifications:
- Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
- 3+ years (Mid) or 6+ years (Senior) of professional experience in backend development.
- A portfolio or GitHub history demonstrating clean, maintainable, and well-documented code.
Soft Skills
- Analytical Thinking: Ability to decompose complex business requirements into technical tasks.
- Collaboration: Working closely with Frontend Developers to define API contracts and Product Managers to scope features.
- Mentorship: (For Senior roles) Guiding junior developers through code reviews and architectural discussions.
https://www.executiveplacements.com/Jobs/B/Backend-Developer-1266449-Job-Search-02-26-2026-05-00-15-AM.asp?sid=gumtree
Id Subtitle 1350835958
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Executive Placements
Selling for 1 year
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Active Ads5.05K
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Education:Minimum of 4-year tertiary degree in Computer Science, Mathematics, Statistics, Data Science or related fieldMasters Degree in a Data Science, AI/ML, Statistical or related field (preferred)MBA or Masters (advantageous)Experience:5 or more years of relevant work experience as a Data Engineer/ Data Scientist46+ years applied data science; 2+ years owning production AI/ML.At least 3 years experience within a non-traditional FinTech, Banking or Financial Services SectorExperience in Data Science and Data Analysis with a specific focus on AI/ ML models within banking, finance and/or telecommunications industryProven delivery of automated decisioning (recommendation/propensity/fraud/forecasting) with quantified business impact.Experience in Data Engineering within banking or financial services industryUnderstanding of enterprise-scale systems and technologies used in data infrastructuresExperience of working in an Agile/DevOps environmentGitHub or GitLab experience for CI/CDConsistent improvement CI/CD applications for collaborations and enhancement to drive develop once and deploy to many mindset through container repositoriesProficiency in working with Python and its relevant libraries SAS or R / Scala for data clean up and advanced data analyticsWorking knowledge in Hadoop, Apache Spark and related Big Data technologies (MapReduce, PIG, HIVE)Demonstrated experience utilizing software tools to query and report data and being software agnosticHighly proficient in database management systems like Postgres, Oracle, Mongo, MSSQLExperience in data analysis and management, business performance management and/or reporting within the financial sector or banking industryExperience working in a medium to large organizationExperience in ecommerce and electronic payment business is advantageousExperience working across global locations/ regions and have a grasp of political, social, infrastructure and integrity challenges
https://www.jobplacements.com/Jobs/M/Manager-Data-Science-1271726-Job-Search-03-13-2026-10-31-29-AM.asp?sid=gumtree
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