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founding engineering team lead handson

TechBiz Global GmbH

<div>Berlin &bull; Cybersecurity &amp; AI Startup &bull; Recently Funded
A newly funded cybersecurity startup in Berlin is looking for a Engineering Team Lead to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered risk management platform.
We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli intelligence units. 
We are looking for a hands-on Founding Engineering Team Lead for a hybrid role based in central Berlin. If you are passionate about cybersecurity and AI, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact.
They&rsquo;re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents.<h3 class="jobSectionHeader"> 
Key Responsibilities:</h3><ul><li>
Lead and grow a small, high-performing engineering team while remaining hands-on</li><li>
Design, build, and review production backend and platform code alongside the team</li><li>
Own delivery of the engineering roadmap, balancing speed, quality, and security</li><li>
Act as a technical leader by setting architecture direction and enforcing engineering standards</li><li>
Contribute directly to critical features, integrations, and platform foundations</li><li>
Establish lightweight engineering processes that enable fast execution without bureaucracy</li><li>
Mentor engineers through code reviews, pairing, and technical guidance</li><li>
Contribute hands-on in design and build architecture, configure systems, code 70% of the time in GoLang.</li><li>
Remove blockers and unblock delivery across backend, frontend, data, and DevOps</li><li>
Collaborate closely with CEO, CPTO, and product leadership on technical and execution decisions</li><li>
Support hiring, onboarding, and technical evaluation of engineers</li><li>
Foster a culture of ownership, pragmatism, and low ego</li><li>
Build whole Security platform setup from scratch</li><li>
Partner closely with backend and AI engineers to design secure service boundaries and deployment models</li><li>
Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers</li><li>
Build PoCs and validate infrastructure and security design decisions in an early-stage environment</li><li>
Support compliance readiness by enabling controls, logging, and evidence collection for security frameworks</li><li>
Continuously improve platform cost efficiency, reliability, and operational maturity</li><li>
This role reports directly to CEO &amp; CPTO</li></ul> 
Must have skills<ul><li>
10+ years of professional software engineering experience</li><li>
3+ years of experience leading engineering teams while remaining hands-on</li><li>
3+ years of GoLang experience</li><li>
3+ years experience with AWS in production environments</li><li>
Strong code quality bar and experience with architectural reviews</li><li>
Ability to context-switch between technical topics and people leadership</li><li>
Strong execution mindset and comfort operating under ambiguity</li><li>
Hands-on coding mentality; can build things from scratch including security architecture yourself</li><li>
Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads</li><li>
Experience with CI/CD pipelines (GitHub Actions or similar)</li><li>
Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus)</li><li>
Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.)</li><li>
Knowledge of Experience supporting production SaaS platforms</li><li>
High ownership mentality, startup mindset, and ability to move quickly</li><li>
Experience in startup or scale-up environments</li><li>
Low ego, high commitment, and a true tech startup mentality</li><li>
Excellent English communication skills</li></ul>
Nice-to-have requirements<ul><li>
Previous experience as a founding or early-stage Engineering Manager</li><li>
Experience in cybersecurity, identity, or enterprise SaaS platforms</li><li>
Exposure to DevOps, SRE, or data engineering</li><li>
Experience scaling teams and systems simultaneously</li><li>
Experience with security architecture, identity security, or security engineering</li><li>
Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2)</li><li>
Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts</li><li>
Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID)</li><li>
Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar</li><li>
Experience designing permission models, identity graphs, or access control frameworks</li><li>
Knowledge of tokenization, Zero Trust principles, least privilege, and continuous verification</li><li>
Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast</li><li>
Familiarity with AI agent behavior, LLM security, or agent sandboxing</li><li>
Previous experience in cybersecurity, identity startups</li><li>
You are a fan of rock or metal music</li><li>
Excellent German communication skills</li></ul>
Benefits<ul><li>
Founding Team Member Equity &mdash; ESOPs in a well funded cybersecurity company.</li><li>
Competitive Compensation &mdash; salary aligned with market, flexible early-stage arrangements possible.</li><li>
Founding Team Member Status &mdash; shape the company from day one and own critical security technical decisions.</li><li>
Fresh Funding Secured &mdash; immediate runway to build, hire, and execute fast.</li><li>
Security Contribution &mdash; contribute to security tech architecture across identity, AI agents, and enforcement.</li><li>
High Autonomy &mdash; freedom to design and build without corporate overhead.</li><li>
Work with a Technical CEO and CPTO &mdash; fast iteration, strong alignment, clear direction.</li><li>
Cutting-Edge Domain &mdash; identity security, SaaS-to-SaaS access, AI agent governance.</li><li>
Massive Learning Curve &mdash; quickly gain depth in cybersecurity, identity, and AI systems.</li><li>
Fast Career Path &mdash; opportunity evolve into higher leadership as we scale the engineering team</li><li>
Berlin Location &mdash; top-tier tech environment with strong cybersecurity and AI ecosystems.</li><li>
Direct Impact &mdash; your architecture and code become the foundation of the entire platform.</li><li>
Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one.</li><li>
Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum.</li></ul></div>

Founding Engineering Team Lead (HandsOn)

Telli

<div><h1 class="jobSectionHeader">about us</h1> 
Every 10 minutes, 18 million conversations happen between businesses and consumers around the world. 
For decades, the consumer side of those conversations sucked: long queues, robotic menus, repeated explanations, and advice that is often unhelpful. Most people today still cannot simply say what their problem is in natural language when communicating with businesses. 
AI changes that. For the first time, companies can have natural conversations with customers at massive scale. Every B2C company - from energy providers to telcos to insurers - will use AI agents to talk to their customers. The number of conversations businesses will handle is going to explode in the coming years. 
At telli, we are solving the challenges that come with that shift. Today, leading B2C companies like Sky are already using telli to deploy thousands of voice agents to provide their customers with a new experience. But building a first voice agent is easy, getting it to drive real outcomes for customers and businesses is the hard part. telli helps companies build, deploy, and improve consumer-facing AI voice agents at scale. This will become one of the most important software categories of the next decade, and we intend to win it. 
We are a small, AI-pilled team that likes to solve hard problems. Be it engineering, product, or GTM - we build, experiment, and move fast, while heavily leveraging the capabilities of AI models. All of us like to challenge ourselves and take real ownership over what we do, all while still staying humble and keeping a low-ego culture. 
Check out our principles to see how we work.<h2 class="jobSectionHeader"> 
Your mission</h2>
As the Founding GTM Engineer you build the foundation to scale telli's go-to-market. You shape the telli playbook and turn it into a scalable, automated system. As the GTM counterpart to the founding team and GTM lead, you power the sales function to help telli grow.<h2 class="jobSectionHeader">
what you'll do</h2><ul><li>
Build our GTM system: you build and scale the infrastructure our sales team needs to achieve their targets by building a signal &amp; prospecting infrastructure that the sales team can convert into opportunites</li><li>
Automate processes: you build scalable, automated processes for our go-to-market motion</li><li>
Sales enablement: you own what we show customers. Demos, sales decks, materials, and assets stay sharp and up to date because of you</li><li>
Own the CRM: you make sure our data is clean, structured, and reliable. The team trusts the numbers because you keep them honest</li><li>
Track performance and build dashboards: you work with the founding team and GTM lead to track the right metrics and make sure we are hitting our targets</li><li>
Shape the playbook: you shape telli&rsquo;s gtm playbook learning from customer interactions and data</li></ul><h2 class="jobSectionHeader">
what makes you a great fit</h2><ul><li>
1+ years of experience in Revenue Operations, Sales Automation, or Go-to-Market Engineering</li><li>
You're analytical: you think in systems and numbers, you approach problems based on facts and data</li><li>
You're automation-first: you have demonstrated success using AI tools (e.g. Claude Code, Clay, n8n) to enhance processes</li><li>
You understand products fast:** you pick up technical concepts fast and know how to use the product to make customers successful</li><li>
You are passionate about gtm tech: you live and breathe the GTM space and stay on top of the latest tools, systems, and influencers</li><li>
You have business sense: you understand how sales works and build systems that move deals forward, not just clean tooling</li><li>
You're hands-on and technical: you're comfortable with tools like CRMs (Hubspot expert) and other automation or gtm tools</li><li>
You have high agency: you don't get blocked by outside factors but find ways to unblock yourself and ship</li><li>
You speak business-level German and English</li><li>
You want to work on-site 5 days a week in Berlin</li></ul><h2 class="jobSectionHeader">
you may not be a good fit if&hellip;</h2><ul><li>
You wait for detailed briefs and shy away from owning a function end-to-end</li><li>
You like building systems in theory but don't understand how sales actually works</li><li>
You automate for the sake of it instead of fixing the underlying process first</li><li>
You only want the &quot;strategic&quot; parts and skip manual work</li><li>
You want to work remotely. We're an in-person team</li><li>
You think this role looks like a 9-to-5 job</li></ul>
Compensation Range: &euro;75K - &euro;95K</div>

GTM Engineer

NexTexAI

<div>
 
 NexTex AI is a Berlin-based deep-tech startup building an AI-powered intelligence layer for textile manufacturing.
 
 
 
 Our platform combines industrial cameras, retrofit sensors, PLC/SCADA signals, edge computing and artificial intelligence to detect textile defects, optimize production processes and generate sustainability KPIs for CSRD and EU Green Deal compliance.
 
 
 
 We are currently preparing our EXIST Startup Grant application and a ProFIT Berlin R&amp;D funding application. Our goal is to build and validate an MVP with pilot textile manufacturers during the first year and scale into one of Europe's leading industrial AI platforms for textile production.
 
 
 
 We are looking for a Founding Software Engineer who wants to join the founding team and help build the technical backbone of the company from day one.
 
 
 Tasks
 
 
 As a Founding Software Engineer, you will be responsible for designing and building the backend systems, cloud infrastructure and AI deployment architecture behind NexTex AI.
 
 
 
 You will work closely with the founders, machine learning engineers and future computer vision engineers to create a scalable edge-to-cloud platform for industrial AI applications.
 
 
 
 Your responsibilities include:
 
 
 
 &bull; Building cloud-native infrastructure and deployment pipelines
 
 
 
 &bull; Designing and developing scalable backend services and APIs
 
 
 
 &bull; Building dashboards, analytics systems and internal tools
 
 
 
 &bull; Developing industrial data pipelines for machine, sensor and camera data
 
 
 
 &bull; Supporting edge-to-cloud communication and industrial integrations
 
 
 
 &bull; Supporting AI model deployment, monitoring and inference workflows
 
 
 
 &bull; Structuring textile production data, defect classifications and sustainability KPIs
 
 
 
 &bull; Working directly with pilot factories and industrial partners
 
 
 
 &bull; Contributing to product architecture and technical strategy
 
 
 Requirements
 
 
 Strong software engineering background
 
 
 
 &bull; Strong Python and C++ programming skills
 
 
 
 &bull; Experience with FastAPI, Django, Flask, Node.js or similar frameworks
 
 
 
 &bull; Experience with PostgreSQL or similar database systems
 
 
 
 &bull; Experience with Docker and containerized environments
 
 
 
 &bull; Experience with AWS, Azure or Google Cloud
 
 
 
 &bull; Understanding of REST APIs and scalable software architectures
 
 
 
 &bull; Fluent English
 
 
 
 &bull; Ability to work independently in an early-stage startup environment
 
 
 
 Preferred Qualifications
 
 
 
 &bull; Located in Berlin or willing to relocate to Berlin
 
 
 
 &bull; Professional working proficiency in German (prior work experience in a German-speaking environment preferred)
 
 
 
 &bull; Experience with Computer Vision and Machine Learning systems (using frameworks such as PyTorch, TensorFlow or ONNX)
 
 
 
 &bull; Experience with MLOps and model deployment pipelines
 
 
 
 &bull; Experience with Edge AI deployments (NVIDIA Jetson, CUDA or TensorRT)
 
 
 
 &bull; Experience with Industrial IoT, PLC/SCADA systems or manufacturing environments
 
 
 
 &bull; Startup or founding-team experience
 
 
 
 &bull; Interest in textile manufacturing, sustainability and Industry 4.0
 
 
 Benefits
 
 
 &bull; 10% equity participation as a founding team member
 
 
 
 &bull; Approx. &euro;2,500/month through the German Federal EXIST Startup Grant during the first year
 
 
 
 &bull; Significant compensation increase planned following successful MVP validation and funding milestones
 
 
 
 &bull; Opportunity to build a deep-tech startup from day one
 
 
 
 &bull; Direct impact on product, technology and company strategy
 
 
 
 &bull; Access to real industrial production environments and pilot textile factories
 
 
 
 &bull; Work on AI, Computer Vision, Edge AI, Industrial IoT and Sustainability Intelligence
 
 
 
 &bull; Direct collaboration with experienced founders, academic advisors and industry partners
 
 
 
 &bull; Startup coaching, legal support and mentoring through EXIST and ProFIT Berlin
 
 
 
 &bull; Opportunity to shape both the product and company from an early stage
 
 
 
 &bull; Flexible working environment
 
 
 
 &bull; Potential CTO-level growth opportunities as the company scales
 
 
 
 We are looking for ambitious engineers who want to build something meaningful from the ground up. If you are excited about AI, industrial systems, sustainability and entrepreneurship, we would love to hear from you.
 
 
 
 To apply, please submit:
 
 
 
 &bull; Your CV
 
 
 
 &bull; LinkedIn profile
 
 
 
 &bull; A short introduction explaining why you are interested in joining NexTex AI
 
 
 
 Selected candidates will be invited to:
 
 
 
 1. Introductory discussion with the founders
 
 
 
 2. Technical discussion and architecture review
 
 
 
 3. Final founder meeting
 
 
 
 If successful, you will join NexTex AI as a founding team member with 10% equity and play a key role in building the future of industrial AI for textile manufacturing.
 
 
 
 We look forward to hearing from you.
 
</div>

Founding Software Engineer (Backend, Cloud & AI Infrastructure)

NextexAI

<div>NexTex AI is a Berlin-based deep-tech startup building an AI-powered intelligence layer for textile manufacturing.

Our platform combines industrial cameras, retrofit sensors, PLC/SCADA signals, edge computing and artificial intelligence to detect textile defects, optimize production processes and generate sustainability KPIs for CSRD and EU Green Deal compliance.

We are currently preparing our EXIST Startup Grant application and a ProFIT Berlin R&amp;D funding application. Our goal is to build and validate an MVP with pilot textile manufacturers during the first year and scale into one of Europe's leading industrial AI platforms for textile production.

We are looking for a Founding Software Engineer who wants to join the founding team and help build the technical backbone of the company from day one.
<h2 class="jobSectionHeader">
Tasks</h2>

As a Founding Software Engineer, you will be responsible for designing and building the backend systems, cloud infrastructure and AI deployment architecture behind NexTex AI.

You will work closely with the founders, machine learning engineers and future computer vision engineers to create a scalable edge-to-cloud platform for industrial AI applications.

Your responsibilities include:
<ul><li>Building cloud-native infrastructure and deployment pipelines</li></ul>
<ul><li>Designing and developing scalable backend services and APIs</li></ul>
<ul><li>Building dashboards, analytics systems and internal tools</li></ul>
<ul><li>Developing industrial data pipelines for machine, sensor and camera data</li></ul>
<ul><li>Supporting edge-to-cloud communication and industrial integrations</li></ul>
<ul><li>Supporting AI model deployment, monitoring and inference workflows</li></ul>
<ul><li>Structuring textile production data, defect classifications and sustainability KPIs</li></ul>
<ul><li>Working directly with pilot factories and industrial partners</li></ul>
<ul><li>Contributing to product architecture and technical strategy</li></ul>
<h2 class="jobSectionHeader">
Requirements</h2>

Strong software engineering background
<ul><li>Strong Python and C++ programming skills</li></ul>
<ul><li>Experience with FastAPI, Django, Flask, Node.js or similar frameworks</li></ul>
<ul><li>Experience with PostgreSQL or similar database systems</li></ul>
<ul><li>Experience with Docker and containerized environments</li></ul>
<ul><li>Experience with AWS, Azure or Google Cloud</li></ul>
<ul><li>Understanding of REST APIs and scalable software architectures</li></ul>
<ul><li>Fluent English</li></ul>
<ul><li>Ability to work independently in an early-stage startup environment</li></ul>

Preferred Qualifications
<ul><li>Located in Berlin or willing to relocate to Berlin</li></ul>
<ul><li>Professional working proficiency in German (prior work experience in a German-speaking environment preferred)</li></ul>
<ul><li>Experience with Computer Vision and Machine Learning systems (using frameworks such as PyTorch, TensorFlow or ONNX)</li></ul>
<ul><li>Experience with MLOps and model deployment pipelines</li></ul>
<ul><li>Experience with Edge AI deployments (NVIDIA Jetson, CUDA or TensorRT)</li></ul>
<ul><li>Experience with Industrial IoT, PLC/SCADA systems or manufacturing environments</li></ul>
<ul><li>Startup or founding-team experience</li></ul>
<ul><li>Interest in textile manufacturing, sustainability and Industry 4.0</li></ul>
<h2 class="jobSectionHeader">
Benefits</h2>
<ul><li>10% equity participation as a founding team member</li></ul>
<ul><li>Approx. &euro;2,500/month through the German Federal EXIST Startup Grant during the first year</li></ul>
<ul><li>Significant compensation increase planned following successful MVP validation and funding milestones</li></ul>
<ul><li>Opportunity to build a deep-tech startup from day one</li></ul>
<ul><li>Direct impact on product, technology and company strategy</li></ul>
<ul><li>Access to real industrial production environments and pilot textile factories</li></ul>
<ul><li>Work on AI, Computer Vision, Edge AI, Industrial IoT and Sustainability Intelligence</li></ul>
<ul><li>Direct collaboration with experienced founders, academic advisors and industry partners</li></ul>
<ul><li>Startup coaching, legal support and mentoring through EXIST and ProFIT Berlin</li></ul>
<ul><li>Opportunity to shape both the product and company from an early stage</li></ul>
<ul><li>Flexible working environment</li></ul>
<ul><li>Potential CTO-level growth opportunities as the company scales</li></ul>

We are looking for ambitious engineers who want to build something meaningful from the ground up. If you are excited about AI, industrial systems, sustainability and entrepreneurship, we would love to hear from you.

To apply, please submit:
<ul><li>Your CV</li></ul>
<ul><li>LinkedIn profile</li></ul>
<ul><li>A short introduction explaining why you are interested in joining NexTex AI</li></ul>

Selected candidates will be invited to:

1. Introductory discussion with the founders

2. Technical discussion and architecture review

3. Final founder meeting

If successful, you will join NexTex AI as a founding team member with 10% equity and play a key role in building the future of industrial AI for textile manufacturing.

We look forward to hearing from you.</div>

Vanilla Steel GmbH

<div><h4 class="jobSectionHeader">Your mission</h4>
We are a Berlin-based startup transforming how industrial materials are bought and sold across Europe. One of the oldest industries in the world still runs on Excel, PDF and email. We are replacing that with AI that runs the buying and selling workflow end to end, increasing liquidity, speeding up transactions and reducing waste for hundreds of steel and metal distributors. 
 
We have strong early traction, real enterprise customers and committed investors. We are a lean, technical team scaling our enterprise pilots and building the AI infrastructure underneath them. 
 
Your job as Senior Product Engineer is to make sure we deliver on that traction and stay ahead. You partner closely with Co-founder Simon, who owns sales; you own that we ship, that enterprise customers succeed, and that the product stays in front. This is a senior, hands-on role with three pillars. 
 
1. Build and ship with AI 
<ul><li>
Ship production software using AI as a force multiplier &mdash; prototypes, integrations, customer-facing flows &mdash; and get them live, not just specified.</li><li>
Move our AI from assisting people to running the buying and selling workflow as autonomous agents.</li><li>
Integrate our pipeline deep into customer systems and ERPs (SAP, Odoo, Microsoft Dynamics), and design for fast onboarding so a new customer reaches value in days, not months.</li><li>
Our stack: Python, FastAPI, Pydantic AI, Pydantic Logfire, JavaScript/Node, React, GCP, Kubernetes. You won't be expected to master all of it on day one, but you should be comfortable navigating it with AI tooling.</li></ul>
2. Lead technical communication with enterprise customers 
<ul><li>
Own the technical relationship with three to five enterprise customers: run the discovery workshops, scope the work, run first-line UAT, and steer executive, procurement and IT conversations.</li><li>
Translate customer reality into clear build decisions and engineering reality into clear customer expectations. Hold the line on scope when a request will not move the metric that matters.</li><li>
Represent the product credibly to senior stakeholders, and to investors when a customer also sits on our cap table.</li></ul>
3. Help build the product org 
<ul><li>
Drive the shipping cadence: a weekly or biweekly release rhythm with engineering, and sequence delivery against engineering capacity with our Head of Tech.</li><li>
Make the strategic product calls &mdash; what we build next, and what we deliberately do not.</li><li>
As we scale enterprise customers, help grow how the team works and the product function around you.</li></ul><h4 class="jobSectionHeader">
Your profile</h4>
You are a builder who ships with AI and can run an enterprise customer relationship and help shape how we build. Two non-negotiables: technical capability and product sense. Everything else sits behind those. 
<ul><li>
Excellent written and verbal communication in English and in German (C1 or C2 must have, native not required). You can run a technical workshop with a German industrial customer end to end.</li><li>
Berlin-based or willing to relocate. The role also includes regular travel to customer sites in Central Germany (~2&ndash;3 days per month).</li><li>
5+ years building product, with at least 2 years in genuinely technical roles (engineering, technical PM at a real engineering company, solutions architect, forward-deployed engineer).</li><li>
Deep LLM/AI experience: you build and ship real software with LLMs and agents in production, not just prototype or chat with them. You can walk us through something you shipped and how you built it. Bonus if you have shipped an agentic or autonomous system.</li><li>
AI coding tools: you use Cursor, Claude Code or comparable as your primary development environment - not occasionally, but as the way you build. This is how you ship independently without engineering support.</li><li>
Strong technical instincts: you read code, evaluate an architecture, and hold your own in a design review with engineering.</li><li>
First-line UAT discipline: you have personally signed off (or rejected) enterprise releases and can describe the framework you used.</li><li>
Comfortable owning several enterprise customers in parallel without dropping balls, and pushing back on scope when needed.</li><li>
Able to simplify complexity and make fast, sound decisions under pressure.</li></ul>
Nice-to-have: background in an AI-first company; ERP integrations (SAP, Odoo, Microsoft Dynamics) or procurement / order-management workflows; early-stage or founding-engineer experience, industrial B2B, metals, supply chain or manufacturing experience.<h4 class="jobSectionHeader">
Why us?</h4><ul><li>
Ownership of named enterprise accounts, judged on outcomes rather than hours.</li><li>
Direct technical impact: you see what you ship in production within weeks.</li><li>
Senior co-founders who are technical operators, not pitch-deck founders. Decisions happen fast.</li><li>
Competitive base, performance bonus, and meaningful equity at a Series A company.</li><li>
Regular travel to customer sites (mainly Central Germany).</li><li>
Subsidised Urban Sports Club membership and Deutschlandticket.</li><li>
Hybrid work format, office in the heart of Prenzlauer Berg, Berlin.</li><li>
Regular team events, company breakfasts and Friday drinks.</li></ul><h4 class="jobSectionHeader">
About us</h4>
We are a Berlin-based startup that has successfully established a leading digital-first trading company for industrial metals across Europe.
The multi-billion-euro metal trading industry is operated on Excel, PDF and Email. Our mission is to integrate smart technology and data to drive every decision, transaction, and workflow in the steel industry. Our technologies &amp; services increase liquidity, accelerate transactions, reduce scrapping rates and enhance trading convenience for hundreds of steel and metal distributors across Europe.</div>

Senior Product Engineer

Scalable

<div>Company Description 
Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company&rsquo;s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than &euro;30 billion to the platform. 
 
Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.
Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say. 
 
Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English). 
Job Description 
This role can be based in either Berlin or Munich.
Scalable Capital was built in the cloud from day one. Our services leverage a variety of serverless technologies, including Fargate and Lambda. We additionally use a multi account strategy for logical separation of workloads.
The Network Engineering team is part of the Core Tribe, which manages the cloud platform that underpins Scalable's entire infrastructure. The team delivers all core network services at scale, leveraging the latest cloud-native technologies and maintaining highly available connections to external partners. In addition, the Network Engineering team designs and maintains reusable infrastructure components and provides support to development teams. Together, these efforts provide a strong foundation for building innovative financial services.
As part of the Network Engineering team:<ul><li>
You will design, maintain, and operate multiple cloud networks on AWS, providing a secure and highly available environment for our internal development teams</li><li>
You will be responsible for improving Scalable's cloud infrastructure and automation using AWS, Terraform, and Python</li><li>
You will ensure high-availability connectivity for our most critical applications and partner integrations</li><li>
You will support, guide and empower our engineering teams to further strengthen our DevOps culture</li></ul> 

Qualifications 
<ul><li>
Experience with core AWS networking services, such as: VPC, ELB, PrivateLink, Route 53 is a must</li><li>
Proficient with Infrastructure as Code, ideally Terraform</li><li>
Proficient in at least one general-purpose programming language</li><li>
Nice to have: Experience with broader AWS services, network management, and network troubleshooting</li><li>
A passion for automating and improving processes while keeping security and reliability in mind</li><li>
A degree in a relevant field of study (e.g. computer science, engineering, sciences) or work experience in a role that typically requires a university degree</li><li>
Ability to communicate effectively and concisely in an international English-speaking environment</li></ul> 

Additional Information 
<ul><li>
Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers</li><li>
Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients</li><li>
Work from our centrally located offices in the heart of Munich or Berlin, nestled in lively neighborhoods filled with vibrant restaurants, cozy caf&eacute;s, and a wide range of convenient amenities</li><li>
Be productive with the latest hardware and tools</li><li>
Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget</li><li>
Learn and experience German culture first hand by joining our free German language classes</li><li>
International relocation support is provided if required</li><li>
Opportunity to work from abroad</li><li>
Benefit from an attractive compensation package and from the company pension scheme</li><li>
Monthly contribution of 50% for the &lsquo;Deutschland Jobticket&rsquo;</li><li>
Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker</li><li>
Enjoy flexible and discounted sports activities with Urban Sports Club</li></ul></div>

(Junior) Cloud Site Reliability Engineer (Network) (m/f/x)

<div>Company Description 
Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company&rsquo;s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than &euro;30 billion to the platform. 
 
Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.
Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say. 
 
Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English). 
Job Description 
Our team's mission is to ensure that teams can scale up their services while being performant, reliable and cost optimised through self-service tooling and transferring best-practices for observability, load-testing, services discoverability, chaos engineering and FinOps.
Scalable Capital was built in the cloud from day one. Our services currently run on various AWS services like ECS, Fargate and Lambda and are distributed across multiple accounts. We embrace a DevOps culture where the development teams manage their CI/CD pipelines and cloud infrastructure for their services themself. Our Scalability Engineering Team focuses on providing everything necessary to ensure Reliability and Scalability of our services and storages while being cost efficient. This includes solutions for Monitoring, AutoScaling, Load Testing, Chaos Engineering and FinOps.<ul><li>
Shape the way how Scalable runs microservices in the most performant, secure and cost efficient way.</li><li>
Collaborate with cross-functional teams to identify and understand scalability requirements for our platform, both in terms of user growth and increasing data volume.</li><li>
Design and rollout Monitoring best practices in Datadog including SLI, SLO and SLAs</li><li>
Research and develop service and storage improvements by using serverless technologies and optimise our services and CICD to optimise scalability, cost and performance</li><li>
Develop and maintain internal tooling around Monitoring, Developer Portal and Load Testing</li><li>
Mentor and enable our software development teams to further foster our DevOps culture by educating them and providing reusable and unified building blocks which can be used to improve scalability, reliability and performance of existing and new services</li><li>
Stay up-to-date with the latest industry trends, tools, and techniques related to scalability and performance engineering.</li><li>
Design and implement best practices around auto scaling of our infrastructure</li><li>
Run chaos engineering experiments to improve resilience of our services</li></ul> 

Qualifications 
<ul><li>
Multiple years of experience with AWS and infrastructure as code (preferably Terraform)</li><li>
Solid experience in Monitoring, Container Orchestration and Microservice setups is required</li><li>
Good working knowledge with Python, at least one additional general purpose programming language (Preferably Java/Kotlin or JavaScript/Node.js) and build automations tools</li><li>
Solid understanding of scalable system design principles, distributed systems, and cloud technologies</li><li>
Experience with GitHub Actions and Jenkins would be beneficial</li><li>
A passion for automating, improving processes and working together with other developer teams</li><li>
A degree in a relevant field of study (e.g. computer science, engineering, sciences) or work experience in a role that typically requires a university degree</li><li>
Full professional proficiency in English and the ability to communicate concisely in an international English-speaking environment</li><li>
Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.</li></ul> 

Additional Information 
<ul><li>
Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers</li><li>
Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients</li><li>
Work from our centrally located offices in the heart of Munich or Berlin, nestled in lively neighborhoods filled with vibrant restaurants, cozy caf&eacute;s, and a wide range of convenient amenities or choose to work remotely within Germany (if eligible for the job)</li><li>
Be productive with the latest hardware and tools</li><li>
Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget</li><li>
Learn and experience German culture first hand by joining our free German language classes</li><li>
International relocation support is provided if required</li><li>
Flexible vacation policy and the opportunity to work from abroad</li><li>
Benefit from an attractive compensation package and from the company pension scheme</li><li>
Monthly contribution of 50% for the &lsquo;Deutschland Jobticket&rsquo;</li><li>
Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker</li><li>
Enjoy flexible and discounted sports activities with Urban Sports Club</li></ul></div>

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