Senior Java Developer – AI Gateway

Sensedia

Software Developer enhancing the Sensedia AI Gateway, managing AI integrations. Collaborating with diverse teams in a fully remote setting.

Posted 7/8/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Java and Spring Boot for backend development, with a strong focus on Kubernetes and cloud-native architectures. Capable of translating product needs into scalable technical solutions while ensuring security, resilience, and observability.

Highest-signal resume keywords

Java DevelopmentSpring BootKubernetesOAuth 2.0OpenAPI/Swagger

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Hard Skills

JavaSpring BootKubernetesREST APIsOAuth 2.0JWTOpenAPI/SwaggerMicroservicesAutomated TestingDistributed Systems

Soft Skills

CollaborationTechnical CommunicationProblem SolvingOwnershipAdaptability

Tools & Technologies

KeycloakOpenTelemetryCI/CDMCPA2A

Industry Keywords

Digital ProductsCloud-Native PlatformsDistributed ArchitecturesControl PlaneData Plane

Tech Stack

Tools & technologies

AzureCloudJavaKubernetesMicroservicesSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

Act technically on the evolution of the Sensedia AI Gateway, the intelligent layer that governs, protects and scales the use of Artificial Intelligence and agents in companies.
Act as a technical reference within the AI Gateway development team, contributing to relevant technical decisions in the product's evolution.
Design, develop and evolve the product's control plane (Java/Spring Boot), responsible for translating management operations into Kubernetes resources (CRDs) that configure the data plane at runtime.
Contribute to the evolution of the product's core capabilities: routing to LLM Providers with failover, guardrail policies (Prompt Guard, Prompt Enrichment, Rate Limiting), exposure of corporate APIs as MCP Servers, management of AI Agents, scopes and credentials.
Collaborate with architects, team leaders, Product Managers and other team members to transform product needs into viable, scalable and sustainable implementations.
Participate in technical analyses, trade-off discussions, technical discovery and proofs of concept to validate implementation paths and reduce risks.
Evolve integrations with multiple LLM providers (OpenAI, Anthropic, Google, Azure, Bedrock and open-source models).
Develop and evolve secure authentication and authorization flows based on OAuth, JWT/JWKS and scopes, including integration with Keycloak and customers' external auth servers.
Apply best practices for resilience, observability (OpenTelemetry), security, governance and operational excellence in developed solutions.
Contribute technically to the evolution of the solution, helping identify opportunities for improvement, complexity reduction, scalability gains and risk mitigation.
Work collaboratively with the engineering team, supporting technical decisions, code reviews, refinements and continuous improvement of technical quality.
Support the dissemination of best practices in development, architecture, testing, observability and operations within the team.
Investigate technical problems, propose solutions and act in the evolutionary maintenance of the platform with a focus on quality, stability and scalability.

Requirements

What you’ll need

Solid experience as a senior developer in digital products, cloud-native platforms or distributed systems.
Strong experience with Java (recent versions) and Spring Boot in developing REST APIs and backend product services.
Hands-on experience with Kubernetes as a runtime platform, including concepts of operators, CRDs (Custom Resource Definitions), ConfigMaps, Secrets and workload lifecycle.
Experience with distributed architectures, microservices, REST APIs and architectural patterns such as control plane / data plane and hexagonal architecture.
Strong knowledge of OpenAPI/Swagger, contract design, versioning and API lifecycle.
Experience with authentication and authorization in digital platforms: OAuth 2.0 (client credentials), JWT, validation via JWKS and modeling of scopes.
Interest and familiarity with the generative AI and agentic ecosystem: consumption of LLM APIs, prompt engineering, guardrails and emerging protocols such as MCP (Model Context Protocol) and A2A.
Knowledge of scalability, resilience, security and observability practices in digital platforms.
Experience with automated testing practices (unit, integration and E2E), CI/CD and code review.
Ability to understand product needs and translate them into clear, sustainable and well-implemented technical solutions.
Experience working side by side with product, architecture and engineering teams, with a collaborative attitude and sense of ownership.
Ability to participate in POCs, assess technical risks and contribute to implementation decisions based on technical grounds.
Good technical communication and ability to collaborate with different profiles within the team.

Benefits

Comp & perks

Meal Allowance / Food Voucher (Flash benefits Card)
Health Plan
Dental Plan
Life Insurance
PPR
TotalPass
Childcare Assistance
Well-Being Program (for physical and mental health)
Corporate University (our #SensediaAcademy), with several development tracks
Cultural and educational partners, with special discounts
Extended maternity and paternity leave
Flexible work model