Senior Software Engineer, Full-Stack

360factors, Inc.; Karachi Division; In loco; PKR 2.500.000 - 4.500.000; Tempo pieno

Descrizione del lavoro

360factors, Inc. in Karachi, Pakistan, seeks a high-impact engineer to own end-to-end delivery of full-stack features across the enterprise GRC product suite.

You will work on Angular front end, Java services, APIs, data, and tests, migrating across platform generations amid a live estate, focusing on rapid productivity in the first sprint. You will build and operate AI agents across the SDLC, ensuring code quality and governance, with strong collaboration across product, architecture, QA, and

Competenze

• 7+ years backend Java, production ownership of Spring Boot 3.x services (Maven, REST, Flyway) and older codebases.
• Recent delivery with Angular/TypeScript in an enterprise setting using data-grid libraries (PrimeNG, AG Grid) and RxJS.
• Deep SQL Server/Azure SQL experience, multi-tenant design, migrations, and query optimization.
• Experience with BPMN/workflow engines (Flowable, Camunda, Activiti) or similar configuration-driven platforms.
• Experience building and operating AI agents across the SDLC and writing precise prompts.
• Ability to read large, sparsely documented code to establish intent and extend safely.

Mansioni

• Owns end-to-end delivery of assigned full-stack features — frontend, services, APIs, data, and tests.
• Builds and operates multiple AI agents across the SDLC, and reviews everything they produce before it ships.
• Delivers migration and integration work between platform generations without regressing customer functionality.
• Owns triage and root-cause resolution of customer-reported issues on assigned modules.
• Collaborates with product, architecture, QA, and UX on requirements and standards, and documents architecture and decisions as they are recovered or created.

Conoscenze

Java + Spring Boot

Angular + TypeScript

SQL/Relational DB

Workflow engines

AI agents

Codebase archaeology

Strumenti

GitHub Actions

Docker

Karma/Jasmine

Playwright

Descrizione del lavoro

Products — Engineering Karachi, Pakistan

Job Summary

Owns end-to-end delivery of full-stack features across 360factors’ enterprise GRC product suite — Angular front end, Java services, APIs, data, and tests. Assignments move between product lines and modules by business priority, on a live estate with a platform migration underway, so the role is built for someone productive in the first sprint rather than after a long ramp. Delivery output is expected to be multiplied through AI agents, with full personal accountability for what ships.

Key Responsibilities

• Owns end-to-end delivery of assigned full-stack features —frontend, services, APIs, data, and tests.
• Builds and operates multiple AI agents across the SDLC, and reviews everything they produce before it ships.
• Delivers migration and integration work between platform generations without regressing customer functionality.
• Owns triage and root-cause resolution of customer-reported issues on assigned modules.
• Collaborates with product, architecture, QA, and UX on requirements and standards, and documents architecture and decisions as they are recovered or created.

Must-Have Requirements

• Java + Spring Boot: 7+ years backend Java, production ownership of Spring Boot 3.x services (Maven, REST, Flyway); comfortable in older Java codebases too.
• Angular + TypeScript: recent delivery on a current major version with enterprise component and data-grid libraries (PrimeNG, AG Grid or equivalent) and RxJS.
• Relational depth: SQL Server / Azure SQL — or comparable RDBMS depth and able to switch immediately — including multi-tenant design, migrations, and query optimization.
• Workflow engines: BPMN or workflow engine experience (Flowable, Camunda, Activiti or similar), or equivalent configuration-driven platform work.
• AI agents: builds and operates multiple agents across the SDLC to multiply personal output, writes precise token-efficient prompts, and reviews every line before it ships.
• Codebase archaeology: becomes productive fast in large, sparsely documented code written by others — reads source to establish intent, then extends it safely.

Required Skills & Technologies

Strength in the must-haves plus fast ramp-up matters more than coverage of everything below.

• Backend: Java 17/21, Spring Boot 3.x, Spring Cloud, Maven, Flowable 7, Flyway, OpenAPI, Apache POI, Eureka, API Gateway, Zipkin. Legacy core on Java 8 / Ant / Tomcat with Velocity and jQuery.
• Data: SQL Server and Azure SQL with per-tenant projection databases, MySQL and PostgreSQL in older components, Redis, Milvus vectors.
• AI services: Python 3.12 / FastAPI embedding gateways, PyMilvus, OpenAI- and OpenRouter-compatible APIs.
• DevOps + test: GitHub Actions, Docker Compose, Nginx, Azure, Playwright, Karma/Jasmine, JaCoCo and Istanbul coverage gates, Testcontainers, SonarQube.

Modules are migrating off legacy platforms on a committed schedule, so migration and integration work is a large share of the role. Architecture is being reconstructed from source where original authors have moved on — expect to establish intent from code and document what you learn. Modules run inside a host platform shell, so tenant context, permissions, and ACLs are shared concerns. Customers are regulated financial institutions: audit trails, access control, and evidence integrity are functional requirements, and customer-specific customization is routine.

Nice to Have

Atlassian Jira platform customization and administration; Power BI / Microsoft Fabric datasets and embedded reporting; document collaboration protocols; vector search and RAG; legacy modernization delivery; GRC, audit, or banking domain exposure and SOC 2 awareness.

Performance Expectations

• Ramp: shipping production tickets independently within 30 days.
• 95% of committed story points delivered on schedule; defect escape rate 5% or less per release; customer issues triaged within 4 hours. (Industry benchmarks, reviewed monthly.)

Required Behavioral Traits

• Integrity and accountability — honest about status, estimates, and mistakes.
• Openness to new tools, technologies, and challenges; quick to adopt what works.
• Reverse‑engineers product areas that have limited, outdated, or no documentation — reads the source, asks the right questions of the people who still hold the context, and uses AI tooling to reconstruct how something actually works, then writes it down for the next person.
• Dependable and self‑motivated, with strong judgement in ambiguous problems, and clear communication across engineering, QA, UX, and product.