Mindbox

Engineering Tech Lead

1550 - 1750 PLN/ dzień./ dzień.B2BB2B (netto)

SeniorHybryda·KrakówFull-time·B2B

#410770·Dodano dwa miesiące temu·6

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Java Spring Boot REST APISecurityPerformance tuningReactAPIUIPostgreSQL RedisPrototypesWindowsJSONKubernetesRBACHelmKustomizeAutoscalingGitHub Actions GitLab JenkinsIaCTerraformCloudAWS GCP AzureTestingAIGatewayKafka

Firma i stanowisko

Mindbox connects top IT talents with technology projects for leading enterprises across Europe. The company focuses on consulting, engineering, and talent to build meaningful digital solutions.

Wymagania

Strong proficiency in Java (Spring Boot) for REST APIs, asynchronous/event-driven services, security, and performance tuning.
Advanced front-end experience with React, API integration, and modern UI patterns.
Database expertise in PostgreSQL and in-memory databases like Redis.
Experience with streaming/messaging platforms, preferably Kafka.
Proven hands-on experience with production LLM applications beyond prototypes.
Deep understanding of tokenization, context windows, temperature adjustments, and model limitations across major LLM providers.
Strong capability in designing structured prompts for function/tool calling, generating structured JSON, and handling multi-turn conversations.
Experience with Kubernetes including deployments, services, RBAC, Helm, Kustomize, autoscaling, and observability.
Proficiency with CI/CD tools like GitHub Actions, GitLab, and Jenkins.
Infrastructure as Code experience with Terraform.
Cloud Infrastructure experience with AWS or GCP.
Familiarity with LangChain, OpenAI/Azure OpenAI, Anthropic, or comparable LLM ecosystems.
Understanding of model benchmark testing and risk classification in AI workflows.
Knowledge of secure API/LLM gateway design.

Obowiązki

Design, build, and deliver production-quality services ensuring compliance with enterprise controls and security standards.
Enhance and optimize DecOps pipelines including CI/CD automation, testing frameworks, and system observability.
Architect and maintain robust systems for high traffic and fault tolerance with efficient resource allocation.
Design and iterate on prompts for diverse LLM tasks such as instruction-following, structured outputs, summarisation, reasoning, classification, and code generation.
Manage prompt libraries with version control treating prompts as engineering artifacts.
Implement evaluation pipelines for prompt performance using frameworks like PromptFlow and LangSmith.
Architect and implement autonomous agent systems, multi-agent workflows, tool calling orchestration, and planning loops with memory-augmented reasoning.
Integrate LLM observability including logging, tracing, evaluation, and automated guardrails to ensure production quality.
Advise on Responsible AI deployment including output validation, human-in-the-loop strategies, and risk mitigation.
Build and optimize Kubernetes deployments (Helm, Kustomize), implement autoscaling, RBAC, and secure ingress.
Maintain and improve CI/CD pipelines using GitHub Actions, GitLab CI, and Jenkins.
Apply Infrastructure as Code with Terraform deploying across AWS or GCP environments.

Benefity

Flexible cooperation model.
Hybrid work setup with 1 day from the office per week.
Collaborative team culture with experienced professionals.
Continuous development access to training platforms and growth opportunities.
Comprehensive benefits including Interpolska Health Care, Multisport card, and Warta Insurance.
High-quality equipment including laptop and essential software provided.

Elastyczne godziny

Spotkania integracyjne

Budżet konferencyjny

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Opieka zdrowotna

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Ubezpieczenie

Mindbox

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