Platform / DevOps Engineer

About Meridian Softworks Founded in 2016 in Kraków, Poland , Meridian Softworks is a technological company working with major European banking , insurance , and telco enterprises . The company was set up with an ambitious goal of providing the best customer service in the world . Lekta stands out from the crowd of conversational AI companies because we combine technological expertise with domain-specific knowledge from contact center industry veterans . Through the use of our proprietary conversational neurosymbolic engine and backend integrations , our systems are intent- and context-aware , handling over 1.5 million conversations every month . Today, with offices in Poland and Spain , Lekta is rapidly expanding its business division to scale operations internationally . About the role Lekta is hiring a Platform / DevOps Engineer to own the infrastructure that carries our platform end-to-end — runtime, IDE, and the layers beneath . You'll work across both public cloud and private cloud deployments , because the customers we serve span both. Infrastructure decisions in this domain land directly in product quality: sub-second latency , multi-tenant isolation , deterministic compliance , and inference cost at scale all live in your remit. The systems you design now will shape how Lekta scales for years to come . We are building the next generation of conversational AI — a platform where the creator's experience is itself AI-native . Think of what Lovable did for app-building, applied to conversational agents: a visual IDE , a copilot that helps the user shape, refine and evolve the agent, and a runtime engineered to deploy what gets built into enterprise production . What makes the engineering genuinely hard is the combination our agents have to deliver simultaneously: fluent (natural language, real conversation), fast (sub-second on live voice channels), and reliable (predictable behaviour under real customer pressure, every time). Most stacks force a choice between two of those at the cost of the third. We don't , and that constraint shapes almost every engineering problem we work on. AI is a power tool , and we treat it like one. Lekta engineers are encouraged — and equipped — to use AI deeply across their work: Claude Code , model APIs , copilot tooling . We invest in the accounts, tooling, and time it takes to get fluent with them. We don't measure people on lines committed ; we measure on what gets delivered and how well it holds up in production . We are not an agentic-workflow company . AI generates; the engineer directs and reviews. Every change going out under your name has been read, understood, and signed off by you . Responsibilities Design, run and evolve Lekta's multi-tenant production infrastructure on Kubernetes across public and private cloud environments Own the infrastructure for real-time conversational channels , where latency is part of the product spec Build the routing, fallback, and reliability layer for inference workloads across multiple model providers Run cost engineering for the platform — per-tenant attribution , budgets , and optimisation of inference and infrastructure spend Establish observability that lets on-call engineers reason about agent behaviour , not just request timing Own the CI/CD pipeline that protects production deploys, with quality and regression gates Establish the compliance baseline for regulated enterprise customers — secrets , PII handling , audit trails Qualities Significant production experience running Kubernetes at meaningful scale Multi-tenant SaaS architecture background, with a clear view on isolation and pooling trade-offs Hands-on experience operating across both public and private cloud environments Strong database skills — replication, indexing, partitioning, tuning IaC fluency and configuration-level networking depth ( ingress, mTLS, service mesh, DNS ) — debugged, not just read about Articulated view on when to use managed services and when to self-host , grounded in both Track record of shipping production work with AI in your daily loop , and reviewing what it produces Real-time audio infrastructure ( SIP / WebRTC / RTP ), inference cost optimisation , or banking / fintech compliance is a plus Fluent in English (B2) and Polish (C1) ; other languages are a plus Why join us Visible impact — your engineering decisions land in real customer experience , not in roadmap slides Real ownership — few layers between you and production, and close work with engineering leadership and founders AI-first workflow with company-paid tooling — Claude Code , model access , IDEs of your choice Flexible contract types ( B2B / Employment Contract ), work arrangements , and working hours Remote, hybrid or in-office — from a location of your choice Direct, low-bureaucracy, results-oriented culture ; no micromanagement Competitive salary , with an honest conversation about trajectory as Lekta scales