Contribute immediately as a hands-on engineer, building enterprise-grade backend systems, and integrating AI-driven logic to enhance decision-making in high-risk workflows.
Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.
Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships.
We are seeking a Senior Backend Engineer to join an active agile delivery team and contribute almost immediately. This is a hands-on individual contributor role focused on building and extending backend-heavy, enterprise-grade systems in production.
The ideal candidate has prior experience designing, building, and operating systems that ingest real-world inputs, apply business rules and AI-driven logic, and generate recommendations to support human decision-making in regulated or high-risk workflows.
This role requires someone who can take ownership of backend functionality end-to-end within an existing architecture and deliver predictably with minimal ramp-up.
Key Responsibilities:
- Own and deliver backend features end-to-end within an AWS serverless architecture
- Design, implement, and extend Lambda-based backend services using TypeScript
- Build and maintain REST APIs supporting document ingestion, extraction workflows, recommendation services, and audit logging
- Implement event-driven and asynchronous processing workflows
- Integrate with AWS-managed services such as: Amazon S3, DynamoDB, Textract or similar document processing services
- Manage workflow state, retries, branching logic, and partial failure handling in code
- Apply best practices around idempotency, error handling, and defensive coding
- Add structured logging, metrics, and observability to backend services
- Debug and resolve integration issues across distributed services
- Deploy services using existing CI/CD pipelines and understand production behavior
Hard Skills
Strong hands-on experience building and operating AWS Lambda–based services in production
Experience with event-driven or asynchronous processing patterns
Solid experience designing and consuming REST APIs
Hands-on use of: Amazon S3 for object storage workflows, DynamoDB as a primary persistence layer
Experience managing workflow orchestration directly in code
(Familiarity with AWS Step Functions is a plus)
Proven ability to manage explicit workflow state
Experience handling retries, branching logic, and partial failures
Strong understanding of idempotency and execution order
Ability to contribute effectively within an existing backend architecture
Experience working within Scrum or Scrum-like agile frameworks
Active participation in backlog refinement, sprint planning, standups, and sprint reviews
Soft Skills:
Ability to break down work, estimate tasks realistically, and deliver within sprint commitments
Proactive in asking clarifying questions around requirements and acceptance criteria
Able to self-unblock and independently investigate issues
Communicates progress and blockers clearly and early
Collaborates effectively with engineers, product, and stakeholders
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