Job Context:
Riseup Labs is seeking a senior Software Engineer to design, build, and maintain production-grade backend services and integrations that enable AI-driven automation and business process execution. This role focuses on delivering scalable, secure, and maintainable components integrated into enterprise systems, with strong emphasis on reliability, observability, and operational readiness. The Software Engineer will work closely with AI Engineers, Data Engineers, Deployment Engineers, and architecture stakeholders to deliver end-to-end capabilities that drive measurable business outcomes (productivity gains, cycle time reduction, ticket reduction, and cost reduction).
Job Responsibilities:
- Design and develop scalable backend services to support automation and AI-enabled workflows.
- Build and maintain robust APIs and service interfaces for internal and external integrations.
- Integrate enterprise systems using appropriate patterns (REST APIs, event-driven messaging, job orchestration, and asynchronous processing where applicable).
- Implement resilient engineering patterns including retries, idempotency, rate limiting, timeout strategies, and graceful failure handling.
- Optimize API latency and throughput to ensure backend services do not become a bottleneck for real-time and near real-time AI interactions.
- Ensure production readiness through strong engineering practices (unit/integration testing, code reviews, clean architecture, performance validation).
- Implement structured logging, metrics, and tracing to enable effective troubleshooting and operational monitoring.
- Collaborate with AI Engineers to expose reliable tool endpoints and service contracts for agentic workflows and function/tool calling.
- Design long-running asynchronous workflows and state management for processes requiring approvals and human-in-the-loop decision points.
- Support UI-driven automation patterns in cases where APIs are not available, aligned with enterprise constraints and operational expectations.
- Maintain configuration and integration assets using enterprise governance practices (versioning, change control, review, and promotion across environments).
- Troubleshoot production issues and contribute to root cause analysis and continuous service improvement.
Educational Requirements:
- B.Sc in Computer Science and Engineering from any reputed public or private university.
Additional Requirements:
- Strong backend engineering experience in production environments.
- Proven experience designing clean, maintainable systems (modularity, service boundaries, API lifecycle management).
- Strong experience building and operating APIs at scale (performance, reliability, security).
- Strong knowledge of software engineering fundamentals (data structures, concurrency basics, error handling, testing discipline).
- Experience working with SQL databases and transactional system patterns.
- Strong troubleshooting and debugging capability, including production incident support.
- Ability to deliver with high ownership, autonomy, and structured execution.
Preferred / Nice to Have:
- Experience supporting AI-enabled workflows, including tool/function calling integrations and orchestration services.
- Familiarity with enterprise authentication and authorization patterns (OAuth2, OIDC, service-to-service auth, RBAC).
- Experience with event-driven architectures and messaging systems (Kafka/Event Hubs- style patterns or equivalent).
- Familiarity with secure configuration and secrets management practices.
- Experience with performance tuning, caching strategies, and reliability engineering concepts.
- Familiarity with containerized environments and cloud-native deployment practices.
- Experience implementing and maintaining service observability standards (metrics, tracing, dashboards, alerting).
Technology Stack:
- Backend development (Python and/or C#/.NET where applicable)
- APIs and enterprise integration patterns
- SQL / relational databases
- Event-driven messaging and asynchronous processing (where applicable)
- Cloud services (Azure-first where applicable)
- Containerization and orchestration (Docker, Kubernetes)
- CI/CD pipelines and release management
- Git-based version control and engineering workflows
- Observability tooling (logging, metrics, tracing)
Cross-Cutting Expectations:
- Strong delivery mindset with a focus on measurable outcomes.
- High ownership and accountability for quality, resilience, and production readiness.
- Ability to collaborate effectively across architecture, engineering, and business stakeholders.
- Structured execution and clear communication suitable for enterprise delivery environments.
Success Measures:
- Delivery of production-ready services and integrations aligned to agreed timelines and operational constraints.
- Stable system behavior in production with predictable performance and low error rates.
- Reduced operational effort through maintainable code, strong observability, and disciplined resilience patterns.
- Effective enablement of AI and automation workflows through reliable service interfaces and integration contracts.
- Demonstrated ability to resolve production issues with structured root cause analysis and corrective actions.
Workplace:
Working Hour:
Salary:
- Negotiable (Based on experience and skills)
Compensation & Other Benefits:
- General Leave: 10 days
- Festival Bonus (2), basic 100%
- Weekly 2 holidays (Sat & Sun)
- Annual Salary Review
- PTO Benefits
- Resignation &/or Termination Benefits: 1 month
The Application Process:
- Telephone Round.
- Interview with the Client.
- Final Interview with the People & Culture.
- Job Offer.
N.B.: Only shortlisted candidates will be communicated in the recruitment process.
