Internal IT Infrastructure & Security Engineer (m/w/d)

Maltego

WHY WE NEED YOU Maltego is an Open Source Intelligence (OSINT) and investigative analysis platform used by security professionals, law enforcement, cyber threat intelligence teams, and investigative journalists worldwide. The platform enables users to collect, correlate, and visually analyse data from many disparate sources, turning large and complex datasets into meaningful, actionable intelligence.  As a Senior Platform Engineer at Maltego, you can expect to work on a production‑grade, security‑focused SaaS platform with global users and high availability requirements. Opportunities for professional development, including training, certification, and career advancement. The role is deeply hands‑on and infrastructure‑centric, with a strong focus on automation, scalability, and operational resilience. This role treats the platform as a product, with developers as customers, focusing on usability, standardization, and productivity gains. WHAT TO EXPECT Key responsibilities include: * Operate and support cloud infrastructure (primarily Azure) for a production-grade SaaS platform. * Manage Kubernetes clusters, including event-driven autoscaling and reliability best practices. * Maintain Infrastructure as Code (IaC) and configuration management to ensure repeatable, auditable environments. * Design, operate, and troubleshoot CI/CD—especially Azure Pipelines—to enable continuous delivery. * Optimize build and release pipelines for scalability, efficiency, and cost-effectiveness. * Operate and troubleshoot enterprise platform components (e.g., API gateways, message queues) in line with existing standards. * Build internal platform tools, automations, and self-service capabilities to reduce operational overhead and improve developer experience. * Participate in on-call rotations and collaborate with product/engineering teams on provisioning, automation, lifecycle management, and safe adoption of AI/ML-enabled tooling. YOUR PROFILE IN SHORT * Degree in Computer Science, Software Engineering, or equivalent work experience. * 3+ years as a Site Reliability Engineer, DevOps Engineer, or Infrastructure Engineer. * Hands-on experience with at least one major cloud provider  (Azure/AWS/GCP). * Experience in operating applications on Kubernetes and integrating tools like Argo CD, Helm, etc. * Practical experience working with applications written in Java, Python, Go, Node, etc. * Coding ability in with one or a similar one of the following: Java, Python, Rust, or Go. * Proficiency in Python and Bash scripting * Understanding Unix/Linux, and optionally Windows operating systems. * Experience working with Infrastructure as Code / Automation tools (Ansible, Terraform). * Experience in managing CI/CD (Azure DevOps, Jenkins, etc.) * Experience with monitoring platforms such as Azure Monitor, Prometheus, and Grafana to comprehend service health and create dashboards; * Understanding of Azure and Hybrid Networking across Kubernetes and Virtualization technology.  * Familiarity with data engineering practices and tools. YOUR TECH SKILLS * Certified Kubernetes Administrator (CKA) or willing to do it soon * AWS or Azure Certification ABOUT THIS OPENING IMPORTANT: Willingness to undergo security clearance, if required. WHY YOU WILL LOVE MALTEGO Here are some of the reasons why you will love Maltego: * Insights into the daily operations of a fast-growing tech scale-up. * Competitive compensation with a bonus/commission structure based on pipeline creation. * Inclusive, diverse culture, where your voice and contributions matter. * Supported language courses  * Mental health support via .nilo (psychologists & digital tools) At Maltego, we are committed to supporting diversity and inclusion in our organization. We are an equal opportunity employer. We welcome applications from all individuals regardless of race, religion, color, nationality, gender, sexual orientation, age, or disability. LOCATION Our Munich office REQUIRED DOCUMENTS / INFORMATION Please submit a resume and a cover letter detailing your experience and motivation to be part of Maltego!

charles

PLATFORM ENGINEER (M/W/D) PERMANENT EMPLOYEE, FULL-TIME · BERLIN (HYBRID)  THE IMPACT YOU WILL MAKE From socks, and petfood, to cosmetics, charles is helping countless brands reach their loyal customers every day, one conversation at a time. As a Platform Engineer at charles, you’ll help drive our product and infrastructure forward, enabling us to revolutionize conversational commerce. You’re a generalist with a passion for infrastructure and operations. You’ll work closely with the other Engineers to build scalable, high-performing systems, while improving system architecture, resolving tech debt, and ensuring seamless user experiences. Your contributions will result in reliable, data-driven solutions that support millions of users and push the boundaries of messaging-driven commerce. THIS IS WHAT YOU WILL BE DOING You'll build and operate our internal developer platform: the core services, APIs, and infrastructure that every product team builds on top of. That means writing software, not just configuring it, and standing up infrastructure that holds up under real production load. * You will be a part of a team that designs, develops, and operates the core services, APIs, and infrastructure that every product team builds on top of. Examples: building a billing API, maintaining Kubernetes operators, building an authentication broker, optimizing performance in our core monolith, and improving security in our link shortening service. * You will regularly partner with product teams to investigate issues, learn their use cases, and ship platform changes that hold up in production. * You'll join our on-call rotation as part of our "you build it, you run it" philosophy. * You'll have real room to drive cost and reliability initiatives that have measurable, company-wide impact. * You'll build the automations that make our whole software development lifecycle faster and more robust. YOU'LL FIT GREAT WITH THESE SKILLS AND VALUES * 3+ years of software engineering experience. You're a generalist - comfortable moving between writing a service, debugging infrastructure, and improving a pipeline in the same week. * You can build and ship production services in Go or TypeScript; not just scripts and glue. You also know Bash and have the judgment to pick the right tool instead of forcing your favorite one. * You can build and operate cloud infrastructure that survives real production workloads, ideally on GCP. * You've worked with GitHub Actions or similar CI/CD tools, and you know what a healthy and efficient pipeline looks like. * You have a solid grasp of scalable system design, distributed systems, cloud technologies, and how to roll out infrastructure changes. * You're comfortable with remote work and asynchronous communication. You also know that good collaboration needs visibility and cooperation, not just output. * You use AI tools effectively without handing over the steering wheel. * Product and business sense: you understand customer needs and focus on solving the right problems, not just building technically interesting solutions. * You're a self-directed learner. You don't need to know our whole stack on day one, but when you hit something unfamiliar, you dig in, ask good questions, and follow through. We'll give you room and context to grow; you bring the drive. Meeting all requirements is not necessary to apply. We encourage candidates who meet some but not all of these qualifications to submit their application. THINGS WE OFFER * Working on challenging and impactful projects at the forefront of one of the most innovative industries in Europe * Collaborating with some of the leading experts in Conversational Commerce and disrupting a fast-growing industry * Joining forces with a unique community of Tech, Product, Sales, Success, and Marketing experts committed to building the best product in Conversational Commerce. * High autonomy and visibility across the business with the option to own and drive new initiatives * Celebrating our major and micro-wins as well as getting to know each other better at regular team-building events * Sharing VSOP (virtual stock options) in the ownership and success of Charles * Working in a vibrant office in the heart of Berlin overlooking the Wall memorial * Flexible working model: Hybrid setup with remote work options and flexible hours * Earning a competitive compensation package What else we offer? * Urban Sports Club membership * Mental Health support through OpenUp * Free company lunch on Thursdays * A friendly, open, multicultural work environment * Dog-friendly office * Discounts on BVG tickets About us It’s better to have a conversation charles is a conversational AI and CRM for consumer brands that attracts, converts, services, and retains customers via AI agents, marketing automations, bulk campaigns, or an inbox for human agents. We help brands to maximize customer engagement and revenue through conversational channels such as WhatsApp. Businesses can reach customers in an interactive way, collect data to expand customer understanding and guide them to targeted offers that convert. charles’ AI Agents deliver hyperpersonalized experiences at scale while ensuring enterprise-grade security and GDPR compliance. Founded by Kapten & Son co-founder, Artjem Weissbeck, and ex-McKinsey ecommerce lead, Andreas Tussing. charles is backed by Salesforce Ventures, Accel and HV Capital and has raised over EUR 30 million to build the global leader in conversational marketing SaaS for global consumer brands. Charles and diversity: be yourself and no-one else Different perspectives bring innovation and richer work environments. We’re committed to building an inclusive company where you always feel like you belong, whatever your age, gender identity, ethnicity, religion, sexual orientation, disability, status or neurodiversity. These values sit at the heart of our hiring process, so we can create a welcoming workplace where everyone feels valued and heard.

Langdock

HELP US CHANGE THE WAY THE WORLD WORKS BUILD SOMETHING THAT MATTERS. Langdock exists to change the way the world works, bridging the gap between what technology can do and what people actually do with it. We bring all leading AI models into one secure, model-agnostic platform and make them usable across entire organizations. Over 6,000 companies use our platform every day, from fast-growing startups to some of Europe's largest enterprises. Their employees open Langdock to draft strategies, analyze documents, or automate workflows - helping them to work smarter, think more creatively, and reach their full potential. THE ROLE Platform Engineers at Langdock work on shared backend systems that many product features depend on. This includes the AI engine, queues, document processing, integrations, code execution, authentication, and billing. The job is to make these systems reliable and understandable enough that other engineers can build on them. That means designing clear APIs, choosing the right data models, handling failure cases, writing tests for important invariants, adding useful observability, and keeping abstractions simple enough to maintain. Typical problems include deciding which parts of a long conversation to keep in context, retrying background jobs without running the same side effect twice, handling model-provider failures during streaming responses, refreshing integration tokens before they expire, and enforcing tenant boundaries in shared services. WHAT YOU WILL WORK ON Examples of the kind of systems Platform Engineers own: * The AI engine at the core of the platform. It handles the prompts users send through Langdock and abstracts over providers such as OpenAI, Anthropic, Google, Azure, Bedrock, Mistral, and open-source models. The work includes prompt caching, routing, failover across model deployments, and normalizing provider-specific behavior behind a stable internal interface. * The workflow runtime. Workflows need to execute reliably across agent steps, conditions, loops, structured-output extraction, human-in-the-loop pauses, and actions across hundreds of integrations. The platform work is about making that execution model predictable, observable, and safe to extend. * Context-window optimization. Long conversations, uploaded files, and tool calls need to stay correct while model costs stay under control. This is one of the most cost-sensitive parts of the platform. * A code execution service for running untrusted customer code. Today this means JavaScript in some places, but the direction includes broader execution environments such as Bash. The hard part is clear isolation: secrets, filesystem access, outbound network access, and tenant boundaries need to be controlled explicitly. * A flexible integration layer for connecting Langdock to external services. Most integrations are standard REST APIs, but the platform also needs to support industry standards for tools and agents, including Model Context Protocol (MCP) and agent-to-agent (A2A) communication. You will pick up a platform area over time and can shape where it goes next. TECH STACK * TypeScript across a Turborepo monorepo * Next.js, React, and Tailwind on the front end * Node.js services and workers on the back end * PostgreSQL with Prisma; Redis with BullMQ * A multi-provider model abstraction across OpenAI, Anthropic, Google, Azure, Bedrock, Mistral, and open-source models * Sandboxed Node.js for code execution * Multi-cloud storage abstraction over AWS S3, Azure File Share, and GCS * Terraform for infrastructure orchestration * Kubernetes for workloads that need portable deployment across cloud providers * Linear for ticket management * Datadog and Sentry for observability You should be familiar with most of this. We trust you to pick up the rest quickly. HOW WE SHIP * Small temporary squads of 2 to 3 engineers around a topic. Squads form, ship, and dissolve. * Every change is linked to a Linear ticket and ships via PR. CI runs lint, tests, and AI review. * We deploy continuously to production. * We use AI tools heavily in engineering. You have freedom in the tools to use (eg. Cursor, Claude, Codex). We are building a strong harness that allows engineers to move fast while shipping high quality software. * We are building a strong operating system around AI-assisted shipping: clear ticket context, focused branches, AI review before human review, explicit rollout notes for risky changes, and production verification after release. * The engineer who ships a change owns it in production. If something breaks, you lead the fix. WHAT WE ARE LOOKING FOR * 3 to 6 years of experience building back-end systems that handle real load: queues, caches, databases, streaming pipelines, distributed schedulers. You can talk through failure modes and tradeoffs from systems you have actually run. * Strong in TypeScript and Node. Opinionated about API design, abstractions, and where boundaries should sit. * Some infrastructure experience: Terraform, Kubernetes, cloud deployments, networking, or operating services across AWS, Azure, or GCP. * Very driven. You have high standards for yourself, move fast without needing to be pushed, and want to do the best work of your career. * Working knowledge of the LLM ecosystem at a technical level: context windows, tool calling, streaming protocols, provider quirks, prompt caching. * Habit of adding metrics, traces, and structured logs because you have been on call before and know you will need them. * Security-first mindset. Multi-tenant data isolation is a design constraint, not a postscript. * Heavy user of AI tooling in your own development workflow, with opinions on what works and what does not. We are looking for people who are already compounding their output with AI. WORKING HERE We work from one office in Berlin, Greifswalder Str. 212. Engineering is fully in person; we believe the hardest problems get solved faster at a whiteboard than in a Slack thread. Most engineers start around 8:30. Lunch and dinner are together when people stay. Running and gym are part of the routine for many of us. COMPENSATION Top of market, transparent levels, all roles include equity. Levels are tied to scope, not negotiation or years of experience. We narrow down the range early in the process. NEXT STEPS If this sounds like your kind of work, we would like to meet you. We move fast. Most processes complete within two weeks.