Senior Industrial Engineer

🏢 Summary: Fully remote Senior Engineering Manager role leading a distributed team of 6–10 engineers building scalable AI products for finance teams. The role combines people leadership, technical oversight, delivery ownership, and engineering-organization scaling. 🗂️ Requirements: Experience managing distributed engineering teams, Software engineering background, Python, TypeScript, Production-scale software delivery, Cloud-native architecture, APIs, Databases, CI/CD, Automated testing, Observability, Stakeholder management, AI tools 📃 Skills: Python, TypeScript, Cloud, APIs, Databases, CI/CD, Testing, Observability, AI, Agile 🏢 Description: Position: Senior Engineering Manager (Team Lead) Type of contract: B2B or UoP Working mode: Fully remote Salary: 33 - 39k PLN/month Role overview: Our client is a fast-scaling B2B AI start-up building reliable, scalable products for finance teams. They are transforming how finance teams work by shaping how AI Agents improve operations at scale. The company is backed by a strong vision to use AI not just for insights, but for meaningful work inside critical business processes with governance and measurable outcomes. Joining them means helping shape the technical foundation, product quality, and engineering culture behind AI Agents that finance teams can trust. Your Mission: You will lead a high-performing engineering team, strengthen delivery practices, and help scale the product and engineering organization. While you may not write every line of code anymore, you still enjoy getting into the details when it matters—reviewing technical decisions, asking architectural questions, and debugging complex issues. You will foster a culture of trust, clarity, and high-autonomy, empowering your team to thrive based on the standards, support, and ownership you put in place. Requirements: Experience: Proven experience managing a distributed team of engineers, setting clear goals, and developing technical talent. Strong background as a software engineer before moving into management. Tech Stack Familiarity: Strong experience across modern software engineering, with familiarity with Python and TypeScript, giving you credibility to lead technical conversations. Delivery Mindset: Experience delivering production-grade software at scale. Strong understanding of cloud-native architecture, APIs, databases, CI/CD, automated testing, and observability. Communication & Stakeholder Management: Excellent communicator working effectively with technical and non-technical stakeholders (Product, Commercial, Customer Success, and leadership). Mindset: Positive attitude with a ‘doer’ approach. You take ownership, move quickly, and solve problems pragmatically in a fast-paced environment. Commercially minded, ensuring engineering decisions support business growth. AI-First Thinker: Embraces innovation and is excited about using AI tools to improve engineering productivity and customer outcomes. Bonus: Experience in finance, accounts receivable, payments, credit, ERP systems, or workflow automation is a strong plus. Responsibilities: Team Leadership: Lead, coach, and develop a distributed team of 6 to 10 engineers, creating a culture of ownership, accountability, collaboration, and continuous improvement. Technical Delivery: Partner closely with Product and Implementation teams to translate customer needs into clear technical plans. Drive agile delivery practices for fast, high-quality product improvements. Point of Contact: Act as the primary point of contact for CS, Sales, and implementation requests, owning triage, estimation, and configuration scoping. Quality Assurance: Own QA and release processes end-to-end to ensure reliable shipping and defect prevention. Organizational Scaling: Work closely with the CTO and leadership to scale the engineering organization, team structure, and operating rhythm. People Management: Support hiring, onboarding, performance management, and career development as the team expands. Benefits: Fully remote role in a globally distributed organization. 23 days of holiday, including flexible bank holidays. Company-wide offsites on a quarterly or semi-annual basis, including visits to international offices in the UK and US. Access to multiple frontier AI tools for daily work and experimentation. Potential share options.

🏢 Summary: Senior Infrastructure Engineer role for an on-site core team building an AI-powered developer platform. The offer focuses on end-to-end ownership of scalable cloud infrastructure, Kubernetes orchestration, distributed workflows, CI/CD, observability, and production TypeScript services, with compensation of 34,000–36,000 PLN net B2B or 31,000–32,000 PLN gross under an employment contract. 🗂️ Requirements: 8+ years of software engineering experience, 3+ years of cloud infrastructure or platform engineering experience, 3+ years of React development experience, 3+ years of enterprise CI/CD pipeline experience, Production experience with complex multi-service applications at scale, End-to-end ownership of cloud infrastructure decisions and delivery, Expert TypeScript, Node.js, React, and Next.js skills, AWS experience with EKS, networking, IAM, and secrets management, Production Kubernetes experience, Monorepo architecture experience, Hands-on on-site collaboration experience, Technical mentoring and architectural guidance skills 📃 Skills: TypeScript, Node.js, React, Next.js, AWS, EKS, Kubernetes, Nx, IAM, CI/CD, APIs, Microservices, Webhooks, Monorepos 🏢 Description: Position: Senior Infrastructure Engineer Working model: on-site only Location: Kraków (full time office) Salary: 34,000 – 36,000 PLN netto (B2B) or 31,000 – 32, 000 PLN brutto (UoP) Role overview: Our client does not just build software; they engineer competitive advantages. They are building a proprietary, near-deterministic AI-powered development platform designed for broad developer adoption, operating at the absolute frontier of technology alongside the world’s leading AI labs. They are looking for a Senior Infrastructure Engineer to join their core team to drive system design and take full ownership of infrastructure delivery. In this role, you will lead the architecture, construction, and operation of everything from container orchestration and distributed job queues to infrastructure-as-code patterns and production telemetry. This is a highly hands-on platform and infrastructure engineering role. You will routinely write production-grade TypeScript backend services, stand up scalable cloud infrastructure, and ensure that long-running, resource-intensive developer workflows remain completely reliable, highly observable, and thoroughly secure under heavy load. Requirements: Experience 8+ years of hard-core software engineering experience. 3+ years of dedicated cloud infrastructure or platform engineering experience. 3+ years of practical experience building responsive React applications. 3+ years building, maintaining, and optimizing enterprise-grade CI/CD automation pipelines. Proven track record of shipping and operating complex, multi-service production applications at scale. Complete comfort owning major cloud infrastructure decisions and delivery end to end. Technical Depth & Skills Absolute expertise in TypeScript, Node.js, React, and Next.js. Deep understanding of modern monorepo architectures (such as Nx) and why massive codebases rely on structured monorepo methodologies. Strong AWS cloud experience, specifically spanning Amazon EKS, complex networking, IAM policies, and secure secrets management. Production-grade Kubernetes experience—including deployments, custom ingress routing, advanced health checks, and autoscaling policies. Familiarity with the modern developer tools ecosystem, including IDE extensions, custom CLIs, and third-party developer integrations. Extreme ownership You actively monitor staging and production environments, identifying infrastructural gaps and closing them before they impact users. You design systems for failure from day one, planning for worker crashes, duplicate webhooks, cache restarts, and transient cloud outages. You focus entirely on delivering rock-solid, working systems in production rather than structural diagrams that never ship. Mentoring & Collaboration Ability to elevate the entire engineering team through high technical standards and clear architectural guidance. Confidence collaborating hands-on in a shared office environment through pair programming, interactive design discussions, and direct exchange. Skill in helping fellow engineers grow into entirely independent problem solvers. Business DNA Deep understanding that code serves core business objectives and strategic ROI, not just technical elegance. Ability to create durable operating leverage through sound technical choices and future-proof design. Strong instinct for connecting low-level system architecture choices directly with company value. What you can expect Frontier Product: Building state-of-the-art systems and state-machine architectures that redefine how modern developers interact with AI workflows. Elite Environment: Working alongside C-level executives, industry visionaries, and core platform architects with no corporate theater or bureaucratic overhead. Responsibilities: Platform APIs & Orchestration: Build, optimize, and deploy orchestrator-style APIs on Kubernetes (managing operations like agent initialization, suspension, state synchronization, and secure reads). Asynchronous Distributed Jobs: Implement and scale distributed job queues and background workers for long-running indexing, code building, and release management tasks. Data Layer Architecture: Design, scale, and evolve the platform’s data layer—including database boundaries, optimized access patterns, and strong consistency models at scale. System Integrations: Seamlessly connect internal microservices and external webhooks with reliable event handling, transactional callbacks, and distributed handoffs. Production Operations: Own and advance logging, distributed tracing, alerting frameworks, and modern incident response workflows across production environments. Developer Experience (DX): Take ownership of local development environments, monorepo tooling, and internal productivity scripts. Monorepo Structural Evolving: Plan and execute large-scale codebase structural migrations without freezing product delivery timelines. CI/CD Pipelines: Own the architecture and continuous execution of deployment and integration pipelines end to end. Perks in the office: Premium coffee selection Secure bike parking On-site shower facilities Free selection of beverages Complimentary snacks Modern, high-end office space No dress code policy Dedicated playroom and relaxation area Benefits: Dedicated conference and professional development budget Flexible working hours