
51 - 200 employees
Founded 2008
💼 Consulting
🏢 Enterprise
Consulting • Enterprise • Data
Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.
🕒 June 10
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51 - 200 employees
Founded 2008
💼 Consulting
🏢 Enterprise
Consulting • Enterprise • Data
Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.
• Build and ship specialized agents in the Aedeon fleet: parsers, business-rule extractors, dependency mappers, test synthesizers, behavior replayers, and the orchestration that wires them together. • Own the full delivery of assigned agents from prototype through deployment and post-release validation. • Practice test-driven development. Write the tests for the agent's contract, governance constraints, and equivalence checks before the agent code that satisfies them. • Write clear, maintainable Python with adequate documentation. Review pull requests thoroughly and provide constructive feedback. • Document agent contracts, prompt structures, decision logic, and verification approaches in Confluence or equivalent.
• Strong Python (4+ years production), async (asyncio), performance optimization, idiomatic code. • Solid grasp of distributed systems concepts: state machines, retries, idempotency, eventual consistency. • Experience integrating with LLM APIs (Anthropic, OpenAI, or similar) from production code: streaming, function calling, structured output, retries, prompt management. • Comfort with FastAPI or equivalent async web frameworks. • Working knowledge of AWS services: EKS, ECS Fargate, S3, DynamoDB, Lambda, Secrets Manager, CloudWatch. • Experience with Docker and Kubernetes: writing Dockerfiles, Helm charts, and Kubernetes manifests. • Comfort with CI/CD pipelines, GitHub Actions preferred. • Comfort navigating multi-account AWS environments (dev, uat, prod). • Test-driven development as a discipline. Tests written before the code, not after. • Hands-on experience with pytest, integration testing, and E2E testing. • Ability to design behavior-verification harnesses: dual-run, output comparison, equivalence proof. • Experience using AI tools (Claude, Copilot, LLM-based test generators) to accelerate and improve test case quality. • Experience integrating automated tests into CI/CD pipelines. • Test-first, release-disciplined, ownership-driven. • Strong written and spoken English. You'll be in product reviews and customer-impacting design discussions. • Available to work with US business-hour overlap from India.
• Equal opportunities in all employment practices • No discrimination based on race, religion, gender, and other categories
Apply Now🕒 June 10
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