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Requirements and responsibilities
We're looking for a Senior Integration Engineer to build high-performance, secure, and production-grade API layers, custom Model Context Protocol (MCP) servers, and real-time data delivery services optimized for both human applications and autonomous AI agents. This role requires experience operating at high throughput — thousands of requests per second — and building integration layers that AI agents rely on directly.RequirementsMust-HaveOverall Experience: 8+ years in Backend Software Engineering, Distributed Systems Architecture, or Enterprise Platform EngineeringResiliency Engineering: 4+ years architecting mission-critical systems requiring "four-nines" (99.99%) availability, rigorous traffic shaping, and self-healing systemsAI & Agentic Systems: 2+ years building production-grade integration layers, semantic context gateways, or RAG endpoints consumed by LLMs and autonomous AI agentsProficiency in Advanced API Design & Context OptimizationProduction-level proficiency in one or more of: C# (.NET Core), Java, Python, or Node.js/TypeScriptProficiency in Enterprise Scalability & Traffic ManagementProficiency in Lock & Contention Mitigation (API & Database Tier)Proficiency in Hardened Security, Governance & AI IsolationPreferred ExperienceGraphQL and dynamic JSON/gRPC filtering layers (zero-waste data fetching)Custom MCP server development for LLM context exposureHeterogeneous schema merging for LLM tool-calling (e.g., relational DBs, analytics platforms like Pendo/Hotjar, observability tools)Semantic token-aware API pagination and streamingContext-aware gateways for conditional object graph hydration based on agent intentEdge performance: CloudFront Functions, Lambda@Edge, HTTP/3, WebSocketsPostgreSQL and OpenSearch/Elasticsearch access layers with sub-millisecond cachingReactive streams and rate-limiting for Amazon MSK (Kafka), SQS, and HTTP endpointsCircuit Breakers, Bulkheads, and Retry-with-Exponential-Backoff (Polly, Resilience4j, or equivalent)Amazon MemoryDB / Redis OSS / Valkey for rate limiters, session caches, and semantic query cachingOptimistic Concurrency Control (OCC) via eTags/versions; Pessimistic Locking only where strictly necessaryCQRS separating high-volume writes from intensive read queries in PostgreSQLAsynchronous write delegation for high-contention API writes to Kafka/MSKZero Trust security: OAuth2, OIDC, mTLS, and AWS Lake FormationSecurity proxy layers over Amazon Bedrock (prompt injection filtering, PII redaction, API token quota enforcement)End-to-end API runtime tracing with OpenTelemetry (oTel) and DatadogBenefitsRemote work13 floating holiday15 vacation days per year completedGood working environmentEvery qualified candidate who meets the requirements outlined in the job description will be considered in this hiring process without distinction.Furthermore, Jalasoft is an equal opportunity employer. We wholeheartedly embrace our responsibility to make employment decisions without regard to race, age, marital or social status, national origin, disability, sex, gender identity or expression, or any other characteristic or group of candidates or employees unrelated to their qualifications and suitability for the position. Our management is committed to upholding this policy with respect.
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