Senior AI & Cloud-Native Software (108-10SENG-01)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 4h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 3d ago
The date the source published, not the day we noticed it (2026-10-09). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Recruitee employer's own board first seen 4h ago · last seen 1h ago
The listing
This role owns the software and cloud-native architecture of AI-enabled applications and retrieval systems, from design to production. It combines architectural leadership with hands-on engineering: designing GenAI and RAG solutions, building cloud-native backend services, and ensuring the security, reliability, and observability required for production workloads.
What you will do
Design scalable, secure, and resilient architectures for AI-enabled applications, defining service boundaries, data flows, APIs, and integration patterns.
Define cloud-native patterns across microservices, containers, serverless, and event-driven systems.
Design and productionize GenAI and RAG solutions: model selection and routing, retrieval strategy, evaluation, guardrails, and cost/latency optimization.
Build backend services in TypeScript/Node.js and/or Python, and event-driven workflows with queues, workers, and webhooks.
Define non-functional requirements, evaluate trade-offs, and document decisions in ADRs.
Translate business use cases into technical designs, assessments, and executive summaries.
Own the architecture from discovery to go-live, guiding engineers through architecture and code reviews.
Implement observability and secure CI/CD pipelines.
Job requirements
7+ years of software engineering experience.
Proven experience owning the architecture of production distributed systems (microservices, domain-driven design, REST and asynchronous APIs).
Hands-on delivery of production GenAI or LLM applications, including evaluation and AI safety controls.
Experience with RAG, embeddings, and vector databases (pgvector, OpenSearch, or equivalent).
Strong TypeScript/Node.js or Python engineering experience.
Deep knowledge of cloud-native patterns: containers and Kubernetes, serverless, event-driven messaging, and resilience patterns.
Strong understanding of security in cloud-native systems: identity, authorization, secrets management, and data protection.
Docker, CI/CD, automated testing, and observability (OpenTelemetry, Grafana, Datadog, or CloudWatch).
Nice to have
AWS: Bedrock, Lambda, API Gateway, SQS, EventBridge, Step Functions, ECS/EKS, Aurora PostgreSQL, DynamoDB.
Conversational and contact center: WhatsApp Business API, Amazon Connect, Amazon Lex, Twilio, voice bots.
Terraform, CloudFormation, or CDK.
AWS Certified Solutions Architect – Professional or equivalent.
Customer-facing consulting experience and comfort presenting to executive stakeholders.
Engagement details
Part time
Remote
Contractor Hourly
Start: ASAP