About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As a Forward Deployed Engineer, DevOps, your mission is to build and scale the dedicated infrastructure that powers our custom agent integrations for our most important customers. You will be the key technical cornerstone of our team, empowering our customer-facing Forward Deployed Engineers to build, deploy, and manage bespoke client solutions with speed and confidence. By creating a robust, automated, and self-service platform, you will directly enable the rapid delivery of high-quality, reliable custom services.

Areas of ownership:

• Design, build, and maintain the cloud infrastructure specifically for hosting custom services developed by the Agent Integration Engineering team.
• Create flexible and reusable CI/CD pipeline templates that the integration team can easily adopt to automate the deployment of their services.
• Champion Infrastructure as Code to create standardized, yet customizable, service environments, ensuring consistency and rapid provisioning for new integrations.
• Manage a Kubernetes-based environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management.
• Implement robust monitoring and observability solutions to provide the integration team with deep visibility into the performance and health of their specific services.
• Serve as the primary DevOps partner for the Forward Deployed Engineering team, understanding their workflow, anticipating their needs, and removing infrastructure-related obstacles.
• Develop automation scripts (Python, Go, Bash) to streamline the entire lifecycle of custom integration services, from creation to decommissioning.
• Support and modernize legacy Azure infrastructure, helping transition workloads to a standardized, Kubernetes-based platform aligned with Parloa’s Engineering practices.

Who you are:

• 5+ years of professional experience in DevOps, infrastructure engineering, or a similar role.
• A strong customer-first mindset, viewing the Forward Deployed Engineering team as your primary customer.
• Proficiency in at least one scripting or programming language like Python, Go, or Bash.
• Hands-on expertise with a major cloud provider (AWS, GCP, or Azure).
• Advanced knowledge of containerization and orchestration, specifically Kubernetes, Helm, and Docker.
• Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, or GitLab CI, and CD/GitOps workflows with tools like Argo CD.
• A strong background in Infrastructure as Code (Terraform is highly preferred).
• Experience building self-service tools and platforms that empower specific development teams.

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

We’re looking for experienced Software Engineers to join various teams within the Merchant Group at Wolt! If you have a strong track record of building and maintaining scalable, production-grade systems and want to drive impact at scale, this is the place for you.

Who We Are

The Merchant Group consists of 150+ engineers across 25+ cross-functional teams, working together to help merchants grow their businesses and streamline operations through innovative technology. Some of us focus on building seamless experiences for our merchants, while others work on the behind-the-scenes magic that makes everything run smoothly.

What You’ll Do

As an engineer in our group, you’ll work on production-level microservices in Kotlin and Go, helping shape how merchants succeed with Wolt. You’ll have opportunities to:

• Design, build, and scale reliable systems that power merchant experiences.
• Work across the full development lifecycle – from business logic and testing to cloud infrastructure and data streaming.
• Collaborate on architecture and technology choices that keep our systems simple, scalable, and efficient.
• Grow your skills and knowledge by working alongside experienced teammates in an environment that values learning and experimentation.

How We Work

• Autonomy & Ownership – Our engineers have end-to-end responsibility for their services, from implementation to production.
• Collaboration – Architecture and working methods are defined together, ensuring we make the best choices for long-term success.
• Scalability & Simplicity – We value pragmatic solutions that keep our systems robust without unnecessary complexity. We use technologies that serve Wolt, our teams, and our engineers best. You’ll have the freedom to experiment and adopt the tools that work.

Find out more by checking out our Kotlin-related Tech Talks below:

• Scaling Kotlin Backend Development Podcast 

• Kotlin at Wolt

• Kotlin Meetup

Our Tech Stack

Our core technologies include Kotlin (Ktor, Koin, Spring, gRPC), PostgreSQL, MongoDB, Kafka, Redis, GitHub Actions, AWS, Docker, and Kubernetes.

Why Join Us?

Wolt is a place where you can learn, teach, and grow. If you’re passionate about building great technology and working in an environment that values teamwork and autonomy, we’d love to hear from you!

📍These open roles are based in our tech hubs in Berlin, Helsinki or Stockholm. We work in distributed teams, but might not be able to offer fully remote work or relocation. 

Our humble expectations

We’re seeking experienced Software Engineers with a strong background in building scalable microservices. While Kotlin is our primary language, experience with Java, Scala, or other JVM backend languages is great. As we are exploring Go, we're looking for people who are confident in their ability to learn and teach! 🛠️

Beyond technical expertise, we value ownership, collaboration, and a mindset for growth. We think you're a great communicator who thrives in tackling complex challenges, questioning conventions, and working closely with teammates to build reliable, scalable systems. 🚀

Next steps

We are hiring for multiple open positions across different teams in the Merchant Group. During the initial screening call our Talent Acquisition Partner will discuss with you your expectations and possible domain preferences as well as share more about the group. After the recruiter screening call, during the rest of the interviewing steps, you’ll meet hiring managers and software engineers from the Merchant group, a specific team being proposed at the end of the process - that’s the moment when you’ll get to meet your possible Team Lead. Throughout the process, we will do our best to match your experience, skills, and aspirations with the most suitable Engineering team!

We’re looking for an experienced Software Engineer join our Go initative within the Merchant Group at Wolt! If you have a strong track record of building and maintaining scalable, production-grade systems you like to drive impact at scale and mentor juniors and peers - this is the place for you!

Who We Are

The Merchant Group consists of 150+ engineers across 25+ cross-functional teams, working together to help merchants grow their businesses and streamline operations through innovative technology. Some of us focus on building seamless experiences for our merchants, while others work on the behind-the-scenes magic that makes everything run smoothly.

What You’ll Do

As a senior engineer in our group, you’ll work your magic in Go or Kotlin (and some Kotlin) helping shape how merchants succeed with Wolt. You’ll have opportunities to:

• Design, build, and scale reliable systems that power merchant experiences.
• Work across the full development lifecycle – from business logic and testing to cloud infrastructure and data streaming.
• Collaborate on architecture and technology choices that keep our systems simple, scalable, and efficient.
• Grow your skills and knowledge by working alongside experienced teammates in an environment that values learning and experimentation.

How We Work

• Autonomy & Ownership – Our engineers have end-to-end responsibility for their services, from implementation to production.
• Collaboration – Architecture and working methods are defined together, ensuring we make the best choices for long-term success.
• Scalability & Simplicity – We value pragmatic solutions that keep our systems robust without unnecessary complexity. We use technologies that serve Wolt, our teams, and our engineers best. You’ll have the freedom to experiment and adopt the tools that work.

Our Tech Stack

Our core technologies include Go, as well as Kotlin (Ktor, Koin, Spring, gRPC), PostgreSQL, MongoDB, Kafka, Redis, GitHub Actions, AWS, Docker, and Kubernetes.

Why Join Us?

Wolt is a place where you can learn, teach, and grow. If you’re passionate about building great technology and working in an environment that values teamwork and autonomy, we’d love to hear from you!
📍This open role are based in our tech hubs in Berlin, Helsinki or Stockholm. We work in distributed teams, but might not be able to offer fully remote work or relocation.

Our humble expectations

We’re seeking an experienced Software Engineer, so we expect that you:

• Not only understand customer problems but can break them down into actionable steps for both yourself and the team. You balance short-term needs with long-term goals, creating high-quality, scalable solutions.
• Lead by example, setting high standards for work quality and managing projects effectively, even in uncertain situations. You take full ownership of your team’s work, making improvements that benefit both customers and colleagues. You regularly spot gaps and provide valuable recommendations to cross-functional partners.
• Are used to being a role model and informal leader, collaborating with partner teams and mentoring both juniors and peers.
• Are an excellent communicator, being succint and to the point. 

Next steps

We are continuously reviewing applications, so don’t hesitate to apply today - you will hear back from us as soon as possible.
You can read more about our recruitment process here.

Join us as a Senior Backend Engineer (all genders) - Vehicle Foundation in our Vehicle Foundation team on a shared journey that matters! 

What you will do

• Research and develop passenger management systems for autonomous mobility services. 
• Bridge the data flow of the AWS-based backend infrastructure and the in-vehicle components using AWS IoT services (e.g., commands, events, metrics, logs). 
• Develop and improve the backend services used to orchestrate a vehicle’s mission. 
• Work in a bottom-up managed, autonomous, cross-functional team together with other talented engineers.  
• Participate in the full development life cycle, from design to implementation, quality assurance and maintenance.  
• Integrate AI coding assistants in the development process 
• Interface with VW Group, vendors, and other partners to align software interfaces, tooling, and hardware. 

What will help you to fulfill your role 

• Proficiency in Typescript, or another modern typed programming language used on the backend 
• Experience with AWS IoT and Serverless technologies, ideally such as Lambda, DynamoDB, and SQS. 
• Familiarity with communication protocols used to connect edge devices, such as MQTT. 
• Experience with CICD tools such as Github Actions or AWS CodeBuild. 
• General interest in embedded development. 
• Knowledge of current trends in software design, event-driven architecture, DevOps, and a strong interest in further development. 
• Interest in applying agile development practices and a proactive, flexible, and hands-on mindset.

We welcome applicants from diverse backgrounds — even if you don’t meet every requirement. If you’re excited about the role and MOIA’s mission, we’d love to hear from you!

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

Über IP Fabric 

Werde Teil der treibenden Kraft für Netzwerkautomatisierung! 

Bei IP Fabric ermöglichen wir es unseren Kunden, die Wahrheit über ihre Netzwerke zu erkennen. Entwickelt von Netzwerkprofis und Branchenexperten, verändern unsere innovativen Lösungen die Art und Weise, wie Unternehmen ihre Netzwerke verwalten. Als Unternehmen nach der Series-B-Finanzierung wachsen wir schnell in Europa, den USA und darüber hinaus.  

Über die Rolle 

• Dies ist keine typische „Demo-Jockey“-Position. Es geht darum, potenziellen Kunden zu zeigen, was möglich ist, wenn sie Klarheit, Kontrolle und Vertrauen in ihre Netzwerke haben. 
• Als Senior Solutions Architect bei IP Fabric arbeitest Du mit einigen der komplexesten und anspruchsvollsten Enterprise-Umgebungen in der DACH-Region. Du begleitest unsere Prospects dabei zu verstehen, was moderne Network Assurance wirklich bedeutet, und verbindest tiefes technisches Verständnis mit konkreten geschäftlichen Ergebnissen und Zielorientierung im Vertrieb. 
• Du arbeitest eng mit Sales, Produktmanagement und Engineering zusammen und arbeitest im Vertriebsprozess klar unseren Mehrwert duch KI/Automatisierung, Integrationen und das Zusammenspiel im Ökosystem heraus. Du bringst technische Expertise und souveränes Auftreten auf Managementebene in jede Unterhaltung ein, übersetzt Komplexität in klare Handlungsempfehlungen und hilfst Kunden, schneller bessere Entscheidungen zu treffen. 
• Diese Rolle ist sowohl technisch als auch strategisch. Sie eignet sich ideal für jemanden, der in wirkungsvollen Gesprächen mit IT-Führungskräften von Unternehmen aufblüht und gleichzeitig bereit ist, praktisch Lösungen zu entwickeln, zu testen und zu validieren. 

Deine Aufgaben 

• Durchführung technischer Discovery-Workshops zur Identifikation von Herausforderungen und Ableitung messbarer Ergebnisse  
• Übersetzung von Network-Assurance-Potenzialen in klare Business-Impact-Aussagen (Risikoreduktion, Compliance, Effizienzsteigerung)  
• Konzeption und Umsetzung von Proof-of-Concepts (PoC) zur Demonstration des Mehrwerts von IP Fabric in hybriden und Cloud-Netzwerken  
• Präsentation von Integrationen mit wichtigen Partnern wie ServiceNow, NetBox, Nautobot, Splunk usw.
• Zusammenarbeit mit Produkt- und Engineering-Teams zur strukturierten Weitergabe von Feedback aus dem Feld und zur Mitgestaltung der Product Roadmap  
• Enge Abstimmung mit Account Executives zur Definition technischer Strategien, Planung von PoCs und erfolgreichen Evaluierungen  
• Befähigung interner Teams und Partner durch starke Narrative: wie funktioniert IP Fabric und warum ist es für die Transformation von Unternehmen entscheidend 
• Repräsentation von IP Fabric als echter Partner und „trusted advisdor“ bei Kundenworkshops, Konferenzen und Branchenveranstaltungen  

Dein Profil 

• 6+ Jahre Erfahrung im Enterprise-Networking: Du hast große, globale Netzwerkumgebungen entworfen, betrieben oder automatisiert (Rechenzentren, SDN, Campus, SD-WAN)  
• Fundierte Multi-Domain-Erfahrung in On-Premises-, Hybrid- und Cloud-Netzwerken (AWS, Azure, GCP)  
• Tiefgehendes Verständnis von Architekturprinzipien (z. B. Modularität, Trade-offs, Einfachheit vs. Overengineering, Ausrichtung an Business-Zielen) sowie L2/L3-Protokollen und Konzepten (BGP, OSPF, VRF, ACLs, VLANs)  
• Erfahrung mit relevanten Ökosystemen wie ServiceNow CMDB, NetBox, Nautobot, Ansible, Terraform oder ähnlichen Technologien  
• Nachgewiesene Fähigkeit, technische Komplexität in klare, ergebnisorientierte Gespräche mit Fach- und Führungskräften zu übersetzen  
• Kommunikationsstärke: Du bist souverän sowohl am Whiteboard als auch in Präsentationen vor Führungskräften  
• Erfahrung in der Strukturierung von Discovery-Ergebnissen, Definition von Erfolgskriterien und Erstellung von Value-Narrativen nach PoCs  
• Leidenschaft dafür, Unternehmen bei der Modernisierung, Validierung und Automatisierung ihrer Netzwerke zu unterstützen  
• Deutschkenntnisse auf Muttersprachniveau, verhandlungssicheres Englisch in Wort und Schrift 

Von Vorteil 

• Zertifizierungen wie CCNP/CCDE, DevNet Professional oder vergleichbare Qualifikationen  
• Erfahrung mit Network-Assurance-, Observability- oder Orchestrierungsplattformen (z. B. IP Fabric, Cisco NSO, GitHub Actions)  
• Kenntnisse in Sicherheits-, Compliance- oder Change-Management-Frameworks (NIST, CIS, PCI, HIPAA etc.)  
• Praktische Erfahrung in Automatisierung: Python, REST APIs, Git-Workflows, Jinja, Nornir, YAML/JSON sowie CI/CD  

Benefits & Vorteile 

• 25 Urlaubstage + 5 Flexi-Days 
• Arbeit komplett remote möglich  
• Boni zum Firmenjubiläum  
• Zusammenarbeit mit internationalen Teams  
• Regelmäßige Team- und Firmenevents  

Werde Teil unserer einzigartigen Unternehmenskultur in einem gründergeführten Startup, in der Du aktiv unser Wachstum mitgestaltest und die Möglichkeit hast, echten Mehrwert auf für unsere weltweit führenden Kunden zu stiften. Bei IP Fabric erwartet Dich ein flexibles Arbeitsumfeld mit Fokus auf Work-Life-Balance und Entwicklungsmöglichkeiten. 

We’re a global team of over 400 people, working together to push the boundaries of open-source technology and multi-cloud solutions. Our vision is to help developers, builders, and creators bring their ideas to life with speed and simplicity, by providing a cloud data platform that makes open-source databases, search, streaming, and application infrastructure easily accessible to everyone. 

The Role

We're looking for a Backend Engineer to join our small, focused ClickHouse team. You'll work on the systems that power our managed ClickHouse service – building, scaling, and operating infrastructure that thousands of customers depend on daily.

You'll write Python that orchestrates database lifecycle operations, dig into Linux internals when things get interesting, and ship features through a well-established CI/CD pipeline. You'll work in a modern async-first Python codebase alongside engineers who care about code quality, type safety, and automation.

If you have experience with ClickHouse internals or C++ – even better. But what matters most is strong backend fundamentals and a genuine interest in databases and distributed systems.

What You'll Do

• Design, build, and maintain backend services in Python (FastAPI, asyncio, psycopg2) that manage the ClickHouse service lifecycle
• Work with CI/CD pipelines (Buildkite, GitHub Actions) to ship code reliably and often
• Investigate and resolve production issues across the stack – from Python application code down to Linux system behavior
• Contribute to technical planning within a small team where your input directly shapes the roadmap
• Write well-tested, type-checked code and participate in thorough code reviews
• Use AI coding tools as part of your daily workflow to accelerate development

What We're Looking For

Must have:

• Solid Python development skills -- you write clean, production-grade Python and understand async patterns (asyncio, aiohttp)
• Strong understanding of databases -- you know how relational and analytical databases work under the hood, not just how to query them
• Deep Linux knowledge (Fedora preferred) -- comfortable with systemd, process management, filesystem internals, and debugging at the OS level
• CI/CD experience -- you've built and maintained delivery pipelines, not just used them
• Familiarity with automated testing -- unit, integration, and system tests are part of how you work
• Experience with AI coding tools -- you actively use AI-assisted development in your workflow and understand how to get the most out of it
• Distributed systems awareness -- you understand the challenges of running services across multiple nodes and regions
• Fluent English -- written and verbal

Nice to have:

• ClickHouse experience -- operational knowledge, query optimization, or contributions to the project
• C++ or C -- ability to read and contribute to database engine code
• Cloud infrastructure experience (AWS, GCP, Azure) with Terraform or similar IaC tools
• PostgreSQL operational experience
• Software and network security knowledge

Why This Role

• Small team, big impact. You're not a cog -- you'll shape the technical direction of a product used at scale.
• Real engineering problems. Database orchestration, distributed systems, performance at scale -- not CRUD apps.
• Modern tooling. Strict type checking, automated formatting, security scanning, and AI-assisted development are the norm, not aspirations.
• Berlin-based, hybrid. The team is in the office 3 times per week.

Amazing! What’s next:

If you think Aiven is the place for you and that our Values align with yours, send us your resume and we’ll get in touch!

Global Benefits:

Our global benefits are designed to help you thrive and grow, personally and professionally:

• Participate in Aiven’s equity plan.
• Balance work and life with our hybrid work policy.
• Choose the equipment you need to set yourself up for success.
• Use your Professional Development Plan budget for learning opportunities.
• Receive holistic wellbeing support through our global Employee Assistance Program.
• Inquire about our Global Time Off Commitment (Parental and Sick Leave, as well as Personal Time)
• Enjoy country-specific benefits for our global cast.

How to Recognize and Avoid Employment Scams:

There has been a rise in fake job postings used by scammers to get personal information. At Aiven, all of our emails relating to recruitment come from an @aiven.io, @greenhouse.io or @eu.greenhouse.io domain and all of our interviews are conducted by video call or in person.  Our interviews will never occur via text or chat. If you’re unsure of the legitimacy of a job opportunity/offer pertaining to Aiven, please don’t hesitate to reach out to us at recruitment@aiven.io.

Equal Opportunities:

Aiven provides equal employment opportunities to all qualified employees and applicants for employment without regard to age, gender identity, national or ethnic origin, religion, sexual orientation, physical and mental ability, marital and family status or without regard to any other similar personal attributes. Aiven complies with applicable local laws governing non-discrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, training and any other terms and conditions related to employment.

At Aiven we are committed to providing reasonable accommodations for qualified individuals with disabilities or special needs in our working environment and job application procedures. We make all reasonable accommodations for persons with disabilities or who otherwise need support to thrive in the workplace. We are committed to continuously improving workplace accessibility. There is an option to request a discussion in the application process but if you have any questions before applying please write to us at recruitment@aiven.io.

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

WongDoody creates human experiences at 22 studios across 4 continents. We believe the future can be molded. And by shaping human experiences through creativity and tech, we work to build a future we believe in.

For us, this starts with our own culture. We strive to create an inclusive environment where every human can bring their whole self to work. Our clients are brands we believe in, from global big players to local heroes to startups we love. With each of our partners, we embark on a journey of co-creation, pushing the boundaries of what's possible and exploring the space where creativity and tech meet.

Our team of fun, welcoming, values-driven, and collaborative problem solvers has one focus at the heart of everything we do: human experience. Human experiences are the touchpoints where brands connect with customers. And we transform businesses by creating engaging, inspiring moments using strategy, creativity, data and technology - all backed by the global technological power of Infosys.

Experience, Tech & AI

We are a cross-unit and cross-location AI, tech and experience team. With more than 50 developers, AI & Fullstack engineers, UX designers and consultants working directly with other WongDoody teams, we are team players and specialists - oth in frontend and backend. As part of Infosys, we belong to a leading global technology company with access to solutions and extensive know-how in the fields of commerce, marketing automation and AI, among others.

We are now looking for a Senior DevSecOps Engineer who connects platform engineering, security, and automation to build robust, scalable foundations for modern digital and AI-driven systems.

Our local benefits

• Flexible working hours and 100% overtime compensation
• Work where it works for you. At home or in the office, or any mix you like
• Working for strong brands and clients we believe in
• 30 days vacation per year
• Company Benefits
• Urban Sports Club
• Nice people in welcoming teams

What you can expect

Cloud, Platform & Automation

• Design and operate scalable cloud infrastructures and platform setups
• Automate deployments, environments, and operational processes
• Build reliable foundations for fast, stable, and traceable releases 

Security by Design

• Integrate security early into development and operations
• Define and enforce standards across infrastructure, access, secrets, and data flows
• Identify risks early and implement pragmatic, maintainable solutions 

Reliability, Monitoring & Collaboration

• Ensure observability, availability, and resilience of systems
• Collaborate with engineering, architecture, and product teams
• Bring structure to complex environments and balance speed with quality

What we'd love to see

• Several years of experience in DevOps, DevSecOps, Platform Engineering, or Cloud Operations
• Strong knowledge of CI/CD, Infrastructure as Code, and cloud architectures
• Experience with container technologies and automated deployment pipelines
• Solid understanding of security principles, IAM, secrets management, and distributed systems security
• Hands-on experience with monitoring, logging, incident handling, and troubleshooting
• Familiarity with tools like Terraform, GitHub Actions, GitLab CI, or similar
• Experience with GCP, Kubernetes, or Cloud Run is a plus
• Exposure to security automation, policy enforcement, or vulnerability scanning
• Experience with AI/data platforms or production AI systems is a plus
• Understanding of FinOps and cost-aware infrastructure is beneficial
• Clear, pragmatic communication of complex technical topics
• Fluent in German and/or English (B2–C1)
• Work permit for Germany and at least one year of work onsite in Germany

You’ll be the backbone of secure and scalable delivery, bridging internal platforms and client projects. By embedding security, automation, and reliability into every layer, you enable teams to ship faster, operate safely, and scale with confidence.

We care about your personality and professional skills. We don't care about your gender, age, nationality or appearance and are open to working with everyone.

Please note: This is a job ad by WongDoody GmbH based in Germany. Through our website or other sources, you may find job ads published by one of our WongDoody sister companies around the globe with whom we act jointly under the band “WongDoody”. For each job offer, only the entity is responsible, which has published the ad. Contact persons, required information and applicable terms may differ. You can inform yourself how WongDoody GmbH is processing your personal data provided in the application process here.

If you have any questions about the application process, feel free to contact our People & Culture Team directly under job@odt.net

About the Position: 

As a Staff DevOps Engineer, you’ll take the lead in building and maintaining the cloud infrastructure that powers our products. You’ll be responsible for architecting, implementing, and optimizing scalable, secure, and high-performance systems that support a dynamic and fast-growing tech stack - from React and Next.js applications to Python data pipelines, orchestrated across a complex AWS ecosystem.

This role combines traditional DevOps responsibilities with a strong focus on Release Engineering and infrastructure governance, ensuring reliable and scalable software delivery as we grow. You’ll work closely with cross-functional teams, including engineers and product managers, to streamline development workflows, improve deployment reliability, and ensure system resilience and observability.  As the team scales rapidly, you’ll play a key role in defining infrastructure standards, best practices, and policies that enable engineering teams to move fast while maintaining stability and security. You’ll also play a key role in driving information security and compliance initiatives across infrastructure and operations, ensuring that our systems are built with security and regulatory readiness from the ground up. 

This role is remote in Germany.  

What you’ll be doing: 

• Design and maintain AWS infrastructure using best practices (e.g., IaC, security, cost optimization, monitoring). 
• Define and implement infrastructure standards, policies, and governance (e.g., IAM, group permissions, access control) 
• Develop, operate, and improve CI/CD pipelines using GitHub Actions and other tools to support fast and safe deployment of our applications and services. 
• Collaborate with engineering teams to define infrastructure requirements and help shape deployment strategies for frontend and backend applications. 
• Proactively monitor system performance, availability, and reliability. Implement observability tooling and incident response processes. 
• Automate provisioning, scaling, and recovery of infrastructure using tools like Terraform. 
• Identify and resolve infrastructure bottlenecks (e.g., database scaling, system performance constraints). 
• Lead initiatives around infrastructure security and compliance, including access control, vulnerability management, secrets management, encryption, and audit readiness.
• Ensure systems meet relevant security and compliance standards (e.g., ISO 27001, SOC 2, GDPR), and support internal and external audits. 
• Mentor engineers on DevOps best practices, advocate for clean and scalable infrastructure design, and help build a strong engineering culture. 

Qualifications: 

• Proven experience in a DevOps, Site Reliability, or Infrastructure Engineering role, ideally in a startup or product-focused environment. 
• Deep expertise in AWS services (EC2, ECS, Lambda, RDS, S3, IAM, SQS, SNS etc.) and cloud-native architecture. 
• Strong experience with CI/CD tools and practices, ideally GitHub Actions. 
• Proficiency with infrastructure-as-code tools (Terraform) and scripting languages (Python, Bash). 
• Familiarity with containerization (Docker) and orchestration (ECS/EKS/Kubernetes). 
• Solid understanding of networking, security best practices, and system performance monitoring. 
• Experience implementing and managing security controls and compliance requirements (e.g., ISO 27001, GDPR, SOC 2), including hands-on work with identity management, encryption, and audit logging. 
• Experience supporting modern web stacks, especially applications built with React, Next.js, and Python-based services. 

About Bluefish: 

Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.  

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York.  

Why Bluefish & Our Values: 

• Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI  
• Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry  
• Join an experienced high-performing team where you will have immediate ownership and impact  
• Experience a true meritocracy with significant career growth upside as the business scales  

Our Values: 

• Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren’t afraid to roll up your sleeves in a fast-paced, evolving environment. 
• Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value. 
• Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes. 
• Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind. 
• Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals. 
• Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done. 

At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the most effective developer tools on earth. Our tools speed up production by automating routine checks and corrections, freeing developers to grow, discover, and create.

The JetBrains Cloud Platform team develops a cloud-based service that helps organizations manage JetBrains products and services with a focus on encouraging the adoption of AI-powered development tools. JCP provides centralized management, usage-based billing, and visibility into AI consumption patterns.

We are currently seeking a skilled Performance QA Engineer to join our team and improve the reliability of our system. In this role, you will be responsible for ensuring the scalability and stability of our distributed systems through rigorous performance testing and analysis.

As part of our team, you will:

• Design, develop, and maintain automated performance test suites for complex distributed systems.
• Identify system bottlenecks, conduct root-cause analysis, and partner with engineering teams to implement remediation strategies.
• Generate high-quality performance reports with actionable recommendations and communicate findings to both technical and non-technical stakeholders.
• Work closely with cross-functional development teams to identify performance-critical components and define SLAs, performance criteria, and workload models.
• Design and enhance frameworks for performance test execution, test results collection, analysis, visualization, and reporting.
• Integrate performance testing into CI/CD pipelines.

We’ll be happy to have you on our team if you have:

• 5+ years of experience in performance testing or engineering.
• Strong hands-on experience with at least one major performance testing tool – K6, JMeter, Gatling, Locust, or LoadRunner (code-based tools are preferred, but git knowledge is a must).
• Solid programming or scripting skills in languages such as Java, Python, JavaScript/TypeScript, or Go.
• A strong understanding of distributed systems, API performance, databases, caching, and networking fundamentals.
• The proven ability to analyze performance metrics, identify bottlenecks, and recommend improvements.
• Experience testing high-traffic or mission-critical applications.
• Strong analytical skills and the ability to communicate technical findings clearly.
• Proficiency in English, both written and spoken.

We’ll be especially thrilled if you have:

• Experience with observability platforms (Prometheus/Grafana and Elastic).
• Experience with containerized and cloud-native environments (Docker, Kubernetes, and AWS/GCP/Azure).
• Familiarity with event-driven systems, streaming platforms (Kafka), and microservice architectures.
• Knowledge of CI/CD automation (TeamCity, GitHub Actions, etc.).

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

Responsibilities:

• Developer Toolchain. Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
• Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
• Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
• Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
• Automate operations and engineering. Focus on automation so we can spend energy where it matters.
• Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

What we are looking for:

Responsibilities:

• Developer Toolchain. Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
• Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
• Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
• Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
• Automate operations and engineering. Focus on automation so we can spend energy where it matters.
• Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

What we are looking for:

The Role 

The Senior Systems Software Engineer will be a member of the core team building the Quantum Key Distribution system. The focus is on high-performance Python services on Linux, algorithm optimization and acceleration (also via hardware offload), and the role spans defining software architecture, integrating with FPGA/embedded subsystems, and turning requirements into reliable, observable software.  

The Senior Systems Software Engineer leads and co-owns the overall internal QKD software architecture and client-facing software API. By setting engineering standards, mentoring, and unblocking delivery, they ensure predictable releases and a strong execution cadence. 

The Responsibilities 

The Senior Systems Software Engineer should expect to work in the following activities. 

• System architecture
  • Leading and co-owning the QKD software architecture: control plane services, key sifting/postprocessing integration, configuration management, monitoring, and external interfaces 
  • Defining module boundaries and service APIs; evolving the system toward clear data/control-plane separation 

• Efficient implementation and hardware/software integration
  • Designing and implementing high-performance Python services on Linux (asyncio, WebSockets, NumPy); profiling and tuning for latency and throughput
  • Developing, profiling, and optimizing QKD sifting and postprocessing algorithms (signal handling/processing, error correction/information reconciliation, LDPC, privacy amplification) to maximize key rate and minimize end-to-end latency; applying algorithmic improvements and implementation techniques (vectorization, concurrency/async, memory/layout tuning, C/C++ extensions, SIMD/CUDA/GPU/FPGA offload where appropriate)
  • Defining and maintaining robust interfaces with embedded/FPGA system components over UART/USB/PCIe/Ethernet; respecting realtime constraints and failure modes 
  • Guiding downstream system integration (WebSockets/gRPC/REST) and ensuring clear contracts and backward compatibility
  • Designing for test – building mocks/simulators and automated test systems 

• DevOps
  • Building and maintaining CI/CD with Docker and GitHub Actions; automated tests, static analysis, artifact management, and release pipelines
  • Establishing observability (structured logging, metrics, tracing) and operational runbooks; improving reliability and debuggability with SLOs/alerts
  • Embedding security and crypto hygiene by default: secure transport, secrets management, key handling, and coordination with cryptography stakeholders
  • Adding performance benchmarking and regression tracking for key rate and end-to-end latency; integrating profiling/flame graphs into CI and enforcing performance budgets 

The Requirements 

The Senior Systems Software Engineer is expected to have the following qualifications and experience. 

• 5+ years of Python development; 3+ years leading or co‑owning service/system architecture for a hardware‑first product 

• Strong Linux async Python (asyncio, WebSockets), concurrency (threads/processes), profiling/tuning 

• Proven custom hardware integration (MCU, FPGA) over UART/USB/PCIe/Ethernet 

• CI/CD with Docker and GitHub Actions; automated testing, static analysis, artifact management 

• Experience with GPU & CUDA acceleration/optimization; SIMD familiarity 

• Production observability (logging/metrics/tracing) and incident/debug practices 

• Working knowledge of relational/key-value/time-series stores (PostgreSQL/Redis/Prometheus)  

• Security by Default mindset: secrets, secure transport, key/crypto hygiene 

• Proficiency in written and spoken English 

• Ability to be on-site in Munich office several times per week 

• Applicants must have the right to work in Germany at the time of application. We do not provide visa sponsorship. 
• Must be eligible to obtain and maintain either (a) a U.S. Secret (or higher) security clearance or (b) an EU SECRET (or national equivalent) personnel security clearance. Employment is contingent on meeting applicable government security requirements; eligibility is determined by the competent authorities.

Good to have: 

• Experience with QKD systems, cryptography, or high‑rate data pipelines  

• Exposure to C/C++ for low‑level interfacing and FPGA/embedded ecosystems  

• Familiarity with gRPC/Protobuf, schema/versioning strategies, and Kubernetes 

The Role 

The Senior FPGA Developer will be a member of the core team building the Quantum Key Distribution system. The focus is end‑to‑end RTL ownership on AMD/Xilinx (Artix‑7, Kintex UltraScale): architect, implement, verify, and close timing on high‑rate interfaces and deterministic pipelines. The role also sets engineering discipline for FPGA development and mentors a junior engineer. 

The Senior FPGA Developer owns the FPGA architecture/codebase and collaborates closely with embedded/software to define clean contracts, ensure reliable bring‑up, and deliver reproducible, versioned bitstreams. 

The Responsibilities 

The Senior FPGA Developer should expect to work in the following activities. 

• RTL architecture, interfaces, and rather high-speed datapaths
  • Owning SystemVerilog RTL architecture/implementation for Artix‑7 and Kintex UltraScale (SystemVerilog, Vivado)
  • Implementing DDR3/DDR4 controllers integration, PCIe endpoint/DMA, and Ethernet/SFP paths; evaluating/integrating third‑party MAC/PCS IP
  • Building deterministic acquisition/timing/sifting layers — packetization, buffering, alignment; robust clocking/CDC/reset; custom low‑level protocols —  and bridging them to high‑throughput interfaces (DDR/PCIe)
  • Defining clear AXI/AXI‑Stream boundaries and register maps for SW/FW integration 

• Constraints, timing closure, and floorplanning
  • Authoring and maintaining XDC constraints (clocks, I/O, exceptions); achieving consistent timing closure across corners
  • Applying practical floorplanning (pblocks, placement guidance) and CDC methodology; analyzing reports and iterating for margin 

• Verification and CI
  • Establishing a professional verification environment with ModelSim/Questa; developing self‑checking testbenches and regression suites; integrating Python/cocotb co‑simulation with software harnesses/mocks; defining coverage goals (OSVVM/UVM as appropriate)
  • Building CI for lint/sim/synth/impl; archiving reports/bitstreams; automating regressions (including cocotb) and basic HW‑in‑the‑loop smoke tests 

• Bring-up, debug, and releases
  • Board bring-up and debug using ILA/logic analyzers; link training, memory calib, and protocol bring-up
  • Owning bitstream packaging, versioning, and release notes; ensuring reproducible builds and traceable artifacts 

• Cross-team collaboration and mentoring
  • Driving system integration with SW/FW: register/driver contracts, throughput/latency budgets, HIL
  • Mentoring a junior engineer; codifying style guides, reviews, and design documentation 

The Requirements 

The Senior FPGA Developer is expected to have the following qualifications and experience. 

• 5+ years production FPGA on AMD/Xilinx; expert SystemVerilog RTL 

• Demonstrated mentoring of junior engineers 

• Strong constraints/timing (XDC), CDC/reset, and practical floorplanning; consistent timing closure 

• Hands‑on DDR3/DDR4, PCIe endpoints/DMA, Ethernet/SFP; integrating/evaluating third‑party MAC/PCS IP 

• Strong verification background; experience with self-checking testbenches and regression testing, proficiency with ModelSim/Questa. Knowledge of OSVVM/UVM is a plus 

• CI for HDL: scripted sim/synth/impl (Tcl/Make/Python), lint, artifact/version management; board bring‑up and ILA‑based debug 

• System integration with SW/FW: register maps, driver contracts, HIL 

• Proficiency in written and spoken English 

• Ability to be on-site in Munich or Potsdam offices to work with hardware, when required
• Applicants must have the right to work in Germany at the time of application. We do not provide visa sponsorship.
• Must be eligible to obtain and maintain either (a) a U.S. Secret (or higher) security clearance or (b) an EU SECRET (or national equivalent) personnel security clearance. Employment is contingent on meeting applicable government security requirements; eligibility is determined by the competent authorities.

Good to have: 

• AXI4/AXI‑Stream expertise and DMA performance tuning 

• Formal verification exposure 

• Scripting for automation (Python/Tcl) and CI systems (GitHub Actions/Jenkins) 

• MicroBlaze/Zynq ecosystems and low‑level FW/C driver collaboration 

• Proven delivery on Artix‑7 and/or Kintex UltraScale with Vivado 
   

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

About the Initiative

JetBrains is evolving beyond standalone developer tools toward a unified, AI-native platform for software development.

AI is no longer just an assistant inside the editor –  it is becoming an active participant in how software is planned, built, reviewed, and operated across teams and organizations. This shift introduces new challenges that cannot be solved at the level of individual tools alone: governance, security, cost control, observability, and coordinated work between humans and autonomous agents.

Our goal is to build a platform that enables companies to adopt AI in software development in a structured, scalable, and economically efficient manner – without locking them into closed ecosystems.

We are building the foundation that connects developer workflows, team-level collaboration, and organizational control into a single coherent system.

This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments.

This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Principal Engineer (JetBrains Cloud Platform, Developer Experience) to drive large-scale improvements to the development experience across the JCP.

This role focuses on making JCP engineers faster and more productive by improving build systems, CI/CD pipelines, local development workflows, tooling infrastructure, and AI pipelines. You will own the developer experience end to end – from how engineers develop, build, and test locally to how code moves through CI and reaches production. As this is a rapidly growing platform, many workflows and processes are still maturing. You will define what a great development experience looks like and drive the organization toward it.

As part of the team, you will:

- Own and drive the strategy for developer experience improvements across the entire JCP platform.

- Optimize build systems (Gradle, Nx, and others) for faster builds, better caching, and reliable reproducibility at scale.

- Set up AI development pipelines, managing context, agents, and handoffs, and leveraging tools developed within the JCP.

- Improve CI/CD pipelines – reduce build times, increase reliability, optimize resource usage, and shorten feedback loops across TeamCity and GitHub.

- Improve containerized development workflows (Docker, Dev Containers) to ensure fast and consistent local environments.

- Identify and eliminate bottlenecks in the development cycle – from code commit to production deployment.

- Establish best practices, tooling standards, and shared infrastructure that enable all teams to move faster.

- Collaborate with platform and product teams to understand pain points and deliver high-impact improvements.

We are looking for someone who:

- Has extensive experience with build systems (Gradle, Maven, or Bazel) and a track record of optimizing them at scale.

- Has strong expertise in CI/CD systems (GitHub Actions, TeamCity, Jenkins, or similar) and knows how to ensure high performance and reliability.

- Has hands-on experience with Docker and containerized development workflows.

- Understands the full software development life cycle and can reason about developer productivity holistically.

- Is able to drive cross-team initiatives and influence engineering practices across a large organization.

- Is motivated by making other engineers more productive and removing friction from their daily work.

We'd be particularly thrilled if you:

- Have experience improving the developer experience at scale in a platform or infrastructure organization.

- Have worked on AI-driven development pipelines.

- Have expertise in build caching, remote execution, and incremental build strategies.

- Have contributed to or maintained open-source build tooling or CI/CD infrastructure.

- Enjoy digging into performance problems and turning slow, flaky processes into fast, reliable ones.

#LI-MP1

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

About the Initiative

JetBrains is evolving beyond standalone developer tools toward a unified, AI-native platform for software development.

AI is no longer just an assistant inside the editor –  it is becoming an active participant in how software is planned, built, reviewed, and operated across teams and organizations. This shift introduces new challenges that cannot be solved at the level of individual tools alone: governance, security, cost control, observability, and coordinated work between humans and autonomous agents.

Our goal is to build a platform that enables companies to adopt AI in software development in a structured, scalable, and economically efficient manner – without locking them into closed ecosystems.

We are building the foundation that connects developer workflows, team-level collaboration, and organizational control into a single coherent system.

This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments.

This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Developer Experience Lead to drive large-scale improvements to the development experience across the JCP.

This role focuses on making JCP engineers faster and more productive by improving build systems, CI/CD pipelines, local development workflows, tooling infrastructure, and AI pipelines. You will own the developer experience end to end – from how engineers develop, build, and test locally to how code moves through CI and reaches production. As this is a rapidly growing platform, many workflows and processes are still maturing. You will define what a great development experience looks like and drive the organization toward it.

As part of the team, you will:

- Own and drive the strategy for developer experience improvements across the entire JCP platform.

- Optimize build systems (Gradle, Nx, and others) for faster builds, better caching, and reliable reproducibility at scale.

- Set up AI development pipelines, managing context, agents, and handoffs, and leveraging tools developed within the JCP.

- Improve CI/CD pipelines – reduce build times, increase reliability, optimize resource usage, and shorten feedback loops across TeamCity and GitHub.

- Improve containerized development workflows (Docker, Dev Containers) to ensure fast and consistent local environments.

- Identify and eliminate bottlenecks in the development cycle – from code commit to production deployment.

- Establish best practices, tooling standards, and shared infrastructure that enable all teams to move faster.

- Collaborate with platform and product teams to understand pain points and deliver high-impact improvements.

We are looking for someone who:

- Has extensive experience with build systems (Gradle, Maven, or Bazel) and a track record of optimizing them at scale.

- Has strong expertise in CI/CD systems (GitHub Actions, TeamCity, Jenkins, or similar) and knows how to ensure high performance and reliability.

- Has hands-on experience with Docker and containerized development workflows.

- Understands the full software development life cycle and can reason about developer productivity holistically.

- Is able to drive cross-team initiatives and influence engineering practices across a large organization.

- Is motivated by making other engineers more productive and removing friction from their daily work.

We'd be particularly thrilled if you:

- Have experience improving the developer experience at scale in a platform or infrastructure organization.

- Have worked on AI-driven development pipelines.

- Have expertise in build caching, remote execution, and incremental build strategies.

- Have contributed to or maintained open-source build tooling or CI/CD infrastructure.

- Enjoy digging into performance problems and turning slow, flaky processes into fast, reliable ones.

#LI-MP1

Kineto is a next-generation platform that enables creators, educators, and small businesses to generate, deploy, and operate fully functional AI-powered web applications – instantly and at scale. It combines LLM-driven code generation, multi-tenant Postgres (Neon), dynamic hosting (GKE and Knative), automated deployments (Flux), analytics, billing, and a seamless chat-based UX to make software creation accessible to everyone. Our team is growing rapidly, and we’re now seeking an experienced Infrastructure Engineer who can design, build, and maintain our cloud-native platform, with a focus on scalability, reliability, and automated operations.

What you’ll do:

Cloud and platform engineering (DevOps):

• Design, implement, and manage the core infrastructure powering Kineto's platform on Google Cloud Platform (GCP), including networking, security, and identity management.
• Build and operate resilient, highly available distributed systems using Kubernetes (GKE), Knative, Istio, and related cloud-native technologies.
• Automate the entire infrastructure life cycle (IaC) using Terraform and Terragrunt, ensuring secure, reproducible, and auditable environments.
• Implement and maintain CI/CD pipelines (e.g. GitHub Actions and TeamCity) and deployment tools like Flux and Helm for GitOps-driven application delivery.
• Optimize and manage the multi-tenant data layer on Postgres and Neon, focusing on robust tenant isolation, performance, backups, and safe schema management.

Operational excellence and reliability:

• Drive site reliability engineering (SRE) practices, including monitoring, alerting (Prometheus, Grafana), logging (Loki), and incident response.
• Solve complex operational challenges, such as optimizing scale to zero for cost efficiency, minimizing cold starts, enhancing autoscaling behavior, and managing queue backpressure.
• Implement platform-wide performance tuning (e.g. container resource limits, distributed locks, caching strategies, and GC configurations).
• Ensure platform security and compliance by implementing best practices for secrets management, network segmentation, and vulnerability scanning.

Technical leadership:

• Own major infrastructure roadmap items, including multi-region deployments, disaster recovery planning, advanced tenancy separation, and ephemeral preview environments.
• Champion DevOps and SRE principles across the engineering team, mentoring engineers on cloud-native best practices, operational readiness, and debugging complex distributed systems.
• Collaborate with product and engineering teams to define the long-term vision for the platform's architecture and operational model.

We’d be glad to have you on our team if you:

• Have five or more years of experience building and operating large-scale, commercial cloud-native infrastructure, with a strong focus on DevOps/SRE practices.
• Possess deep, hands-on expertise with GCP (or AWS/Azure) and Kubernetes administration and operations (GKE experience is a strong plus).
• Are proficient with infrastructure-as-code (IaC) tools, particularly Terraform, for managing complex environments.
• Have a solid understanding of Linux internals, networking (CNI and service mesh), security, and distributed system design.
• Are familiar with CI/CD tools, GitOps (e.g. Flux), monitoring stacks (Prometheus/Grafana), and logging systems.
• Thrive in cross-functional teams and excel at communicating complex infrastructure ideas clearly.

#LI-YY1

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As part of our team, you will:

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

We’ll be happy to have you on our team if you have:

• Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
• A solid understanding of the ML lifecycle from idea to the customer-facing application.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
• Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
• At least three years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
• Developing infrastructure components and services using cluster solutions like Kubernetes.
• The development of Python-based backend services.
• Creating and maintaining ML pipelines, including legacy ones.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
• Writing and maintaining Python libraries used by internal (or external) ML engineers.
• A strong theoretical background in NLP and transformer-based approaches.
• Writing code in Java and/or Kotlin.

#LI-HYBRID
#LI-MR1

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

We’re now looking for an experienced and proactive Full-stack QA Engineer to join our team to help us with functional and performance testing.

Your responsibilities will include: 

• Developing and maintaining an automated testing infrastructure, setting up CI/CD pipelines, selecting and integrating existing tools, and designing new ones.
• Writing and improving automated tests, particularly for APIs.
• Collaborating with the QA and Development teams to design and execute test scenarios.
• Working with logs and monitoring tools (e.g. Kibana, Grafana) to detect functional issues and performance anomalies.
• Ensuring the quality of our distributed AI-powered systems by validating integrations with various language models and APIs.

We would like you on our team if you: 

• Have at least three years of experience in software testing (manual and automated).
• Possess a solid understanding of REST APIs, request/response structures, status codes, and typical scenarios.
• Have hands-on experience with Postman or similar API testing tools.
• Are familiar with writing automated tests for APIs using any programming language or framework.
• Understand distributed systems and microservice architectures.
• Have basic Docker skills (running containers, working with Docker Compose).
• Are comfortable reading and interpreting OpenAPI/Swagger specifications.
• Have a basic understanding of authentication and authorization protocols (e.g. OAuth 2.0, API keys, and JWT).
• Can work well both independently and within a team, demonstrating strong self-management skills.
• Have a good command of English, both spoken and written.

We’d be especially thrilled if you: 

• Have hands-on experience with cloud computing platforms (AWS, GCP) and container orchestration tools (Kubernetes, Helm).
• Have experience with CI/CD tools (e.g. TeamCity or GitHub Actions).
• Have experience with performance testing tools (e.g. k6).
• Are familiar with TypeScript and/or JavaScript.
• Have worked with automated testing infrastructure and processes.
• Enjoy digging into logs and debugging distributed systems.

Main focus: 

• Quality assurance of new features
• Automation of regression testing
• Performance testing

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI 

Your Impact

What you'll build

• Build and operate scalable backend services in Node.js/TypeScript with additional exposure to Python
• Ship cloud-native systems on Kubernetes and major Cloud Services (AWS/Azure/GCP)
• Set up and evolve CI/CD pipelines with GitHub Actions while maintaining a high testing standard (unit, integration, e2e)
• Debug and improve distributed systems in production with strong observability practices
• Learn and apply VoIP telephony fundamentals (SIP, RTP, etc.) to power real-time communication features
• Own roadmap items end-to-end and contribute to pragmatic, secure architecture decisions
• Design data models and drive database migrations and performance tuning for real-time workloads using PostgreSQL

What you'll bring

• You have at least 5+ years of backend engineering experience
• You have the ability to design, build, and maintain scalable, resilient backend systems using Node.js/TypeScript with some Python
• You have proven experience deploying and operating services on Kubernetes within at least one major Cloud Service (AWS, Azure, or GCP)
• You have experience with CI/CD (e.g., GitHub Actions) and maintain a strong testing culture (unit/integration/e2e)
• You have solid debugging skills for microservices and distributed systems
• You have working knowledge of relational databases (PostgreSQL/MySQL) and schema design
• You have an interest in or exposure to VoIP telephony basics (SIP, RTP/SRTP, SBCs, SIP trunks)

• You have experience with real-time communication systems (WebRTC, streaming, etc.)
• You have worked with event-driven architectures and message brokers (Kafka/RabbitMQ/NATS/Redis Streams)
• You are familiar with software design patterns; Domain-Driven Design is a plus
• You have experience with PostgreSQL (migrations, EXPLAIN/ANALYZE, indexing strategies, connection pooling) and Redis (caching, short-lived state, queues)

Life at Doctolib Tech

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here.

What we offer

• A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib
• 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days)
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Company health insurance with great supplementary benefits through our partner Allianz
• Company pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period)
• The Doctolib Parent Care program, which includes one month additional parental leave and much more
• Free mental health and coaching services through our partner Moka.care
• Subsidized sports membership through our partner Urban Sports Club
• A flexible workplace policy offering both hybrid and office-based mode
• Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Relocation support in case of international mobility
• Access to the best AI tools for coding, development and dedicated training

Our interview process

• Recruiter Interview
• Live coding interview
• System Design interview
• Behavioral interview
• At least one reference check

Job details

• Permanent position
• Tech stack: Node.js, TypeScript, Python, Kubernetes, PostgreSQL
• Full-time
• Hybrid work mode: 3 days/week in the office
• Location: Berlin, Germany
• Start date: as soon as possible

We welcome everyone

We are looking for a Senior Software Engineer to join the TIGAH team in our Patient Relationship Management domain.

Your Impact

As a Senior Software Engineer, your mission will be to work on Document Management, Patient Qualification and Patient Intake. These features are key to streamline patient care journeys inside healthcare practices, improving health professionals' work life with reduced paperwork, while ensuring best care delivery to patients.

Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams.

What you'll do

Build and ship features across both the discovery and delivery phases of product developmentDevelop the Ruby on Rails monolith with React (TypeScript) frontend as well as work on newly created services in Java/KotlinShare your knowledge proactively via pair- and mob-programming sessionsWork on infrastructure topics like observability (metrics/alerts in DataDog) and scalabilityWrite test-driven pragmatically engineered code

Who you are

You have:

At least 6 years of experience in Software EngineeringProficiency with Java/Kotlin or Ruby on Rails developmentProficiency with React developmentA proactive, involved, curious, and collaborative mindset

It would be fantastic if you:

• Have experience shipping cloud-native systems on Kubernetes and Cloud Services (AWS/Azure/GCP)
• Can set up and evolve CI/CD with GitHub Actions
• Keep a high testing bar (unit, integration, e2e) and design for testability
• Can debug and improve distributed systems in production with strong observability
• Have expertise in designing data models and driving database migrations and performance tuning for real-time workloads (PostgreSQL preferred: connection pooling, indexing, query optimization)

Life at Doctolib Tech

Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components.Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here and learn about our first AI hackathon here!

Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.

What we offer  

• Company health insurance through our partner Allianz
• Minimum 28 days of paid leave
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• Free mental health and coaching services through our partner Moka.care
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• A flexible workplace policy offering both hybrid and office-based mode
• Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
• Reimbursement of public transportation

  The interview process  

• Recruiter Interview
• Live coding interview
• System Design interview
• Behavioral interview
• Offer!

 Job details 

• Permanent position
• Full Time 
• Hybrid work mode: 3 days/week in the office
• Workplace : Berlin
• Start date: asap

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, or ethnicity, and whether or not you have a disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com to exercise your rights (but not for applications).

About the Role

As a Senior/Staff Software Engineer at Ledgy, you’ll design and build elegant, scalable systems that power how companies manage their equity. You’ll collaborate with fellow engineers (based mainly in Zurich and London), product managers, and designers to develop industry-leading automation and experiences — while many in our space still rely on manual processes.

In the first 30 days:

• Be paired with an onboarding buddy who will introduce you to the world of equity management
• Get to know our engineering team, product managers, and designers
• Understand how your team’s surface area connects to the broader Ledgy platform
• Start contributing to the codebase with the guidance of experienced team members

In the first 3 months:

• Ship independently on impactful product features and improvements
• Participate in architecture discussions around scaling workflows, data models, and integrations
• Work alongside other engineers to implement robust, reliable data flows
• Develop a deep understanding of how companies manage and automate equity
• Participate in code reviews and help maintain our engineering standards

In the first 6–12 months:

• Take ownership of key features and improvements within your team’s domain
• Help shape the technical direction and architecture of Ledgy’s equity platform
• Collaborate with Product and Design to deliver polished, user-centric experiences
• Mentor other engineers and share expertise in automation, data modeling, and scalability

Teams we’re hiring for

Core Equity — Owns the foundational logic that powers Ledgy’s equity engine. Every equity-related event  such as issuing shares, creating new pools, or adjusting ownership — generates transactions. This team defines and maintains the transaction logic, data model, and core domain behaviour that ensure Ledgy’s platform remains accurate, scalable, and compliant.

Workflows & Automation — Focuses on automating complex equity workflows and integrating with third-party services, including the trading exchange. The team builds systems that help company admins efficiently onboard and offboard employees, automate equity grants and terminations, and enable employees to sell their shares seamlessly once vested.

Reporting — Transforms Ledgy’s core equity data into financial, operational, and compliance reports. The team manages large, complex datasets and ensures reporting is accurate, performant, and reliable across jurisdictions and company structures. Their work powers the insights companies and auditors rely on for decision-making and transparency.

The job is a good fit if:

• You have 7+ years of experience working as a Software Engineer
• You're excited about the impact of equity on entrepreneurship and its real-world impact for companies
• You enjoy tackling complex financial data transformations and compliance requirements
• You enjoy writing clean, maintainable TypeScript code, both in the backend and frontend
• You are excited to work with React, NodeJS, and MongoDB
• You thrive in collaborative environments and enjoy pair programming
• You take pride in creating robust, tested solutions for critical business operations

Being part of Ledgy means:

• Recharge and re-energize with flexible working hours, 25 days of vacation, and up to 40 days of remote work from outside your home country.
• We make space for your own professional development, with a generous yearly learning & development budget.
• This role will receive a competitive salary + benefits + equity. All salaries are aligned with competitively benchmarked ranges based on work location and levelling.
• For candidates based in London or Zurich we use a hybrid work model of 1 day in the office per week.

Our tech stack:

We have a modern, cohesive stack that lets us move fast while maintaining quality:

• Language: TypeScript
• Frontend: React, Tailwind CSS, tRPC
• Backend: tRPC, Node.js, MongoDB
• Infrastructure: GCP, Terraform Cloud, Kubernetes, Docker, Github Actions

The interview process:

• CV Review: we review your resume to see if we might be a good fit
• Getting to know you (30 min): meet with someone from our people team to talk about your experience and to answer questions about the role
• Live Coding (75 min): We'll present you with an equity domain problem to solve collaboratively using your preferred language and IDE
• System Design (60 min): You'll walk us through an architecture you've significantly contributed to in the past, and we'll explore different aspects based on your experience
• Culture Interview: A chance to meet one of our founders for a 30 minute chat about Ledgy’s mission and values
• Offer 🎉

Als globale Unternehmensberatung mit Fokus auf die Finanzdienstleistungsbranche kombinieren wir bei Capco innovatives Denken mit einzigartigem Know-How. So divers wie unsere Mitarbeiter*, sind auch unsere Lösungen, die wir unseren Kunden anbieten. Bringe Dich ein und setze Deine Ideen bei Capco in die Tat um als…

(Senior) GenAI Engineer

In Frankfurt am Main, Düsseldorf oder Berlin

Deine Capco Benefits 

Du bist uns wichtig! Daher bekommst Du einen persönlichen Coach an Deine Seite gestellt, der Dich individuell fördert und unterstützt. Zudem bieten wir Dir ein umfangreiches Trainingsangebot sowie anerkannte Zertifizierungen. Mit unserer Start-Up-Mentalität und unseren flachen Hierarchien, stehen Dir alle Möglichkeiten offen. Nach Feierabend hast Du bei Teamevents oder gemeinsamen Aktivitäten die Chance, Dein Netzwerk zu erweitern und Deine Hobbies mit Kollegen* zu teilen.

• Capco Benefits Card mit monatlicher Gutschrift
• Bike Leasing Programm und geförderte Gesundheitschecks
• Attraktives Mitarbeiterempfehlungsprogramm
• Flexible Arbeitsmodelle
• Unser Office Management in der City in FFM, direkt am Opernplatz, hält immer Erfrischungen und Überraschungen bereit

Deine Capco Aufgaben

• Du entwirfst und implementierst skalierbare, einsatzbereite Python-Anwendungen. Dein Schwerpunkt liegt dabei auf GenAI, insbesondere auf großen Sprachmodellen (LLMs) und der Vektorsuche, um die Datenverarbeitung und Dokumentensuche zu optimieren
• Du setzt neuartige Techniken zur Dokumentenaufteilung und Einbettung ein, um optimale Suchleistungen und eine hohe Relevanz sicherzustellen
• Die Entwicklung intuitiver Benutzeroberflächen erfolgt idealerweise mit Angular oder React, um eine nahtlose Integration in die Anwendungen zu gewährleisten
• Du integrierst GenAI-Technologien in Anwendungen und sondierst kontinuierlich neue Technologien und Methoden, um die Ergebnisse von Projekten zu verbessern
• In enger Zusammenarbeit mit Stakeholdern stellst du sicher, dass die Best Practices bei allen Aktivitäten eingehalten werden, um höchste Qualitätsstandards zu gewährleisten

Dein Capco Profil

• Über 5 Jahre Erfahrung in der Entwicklung von unternehmensgerechten, skalierbaren Python-Anwendungen mit nachweislicher Erfolgsbilanz in der Bereitstellung hochwertiger Softwarelösungen
• Über 1 Jahr Erfahrung in der Entwicklung und Bereitstellung von Kundenlösungen, die durch GenAI-Technologien unterstützt werden
• Expertise in der Anwendung von großen Sprachmodellen und Vektorsuchtechnologien, mit der Fähigkeit, diese Werkzeuge zur Lösung komplexer Herausforderungen in der Datenextraktion und -analyse einzusetzen
• Nachgewiesene Erfahrung in der Anwendung verschiedener Architekturen und Methoden zur Extraktion, Aufteilung und Einbettung unstrukturierter Daten für optimale Suchergebnisse, was ein tiefes Verständnis für Datenverarbeitung und Optimierungstechniken für GenAI-Retrieval zeigt
• Nachgewiesene Erfahrung in der Anwendung verschiedener Ansätze zur Vermeidung von „falschen Positiven“ während des Retrieval-Prozesses
• Kenntnisse in der Frontend-Entwicklung mit Angular oder React sind von Vorteil, mit der Fähigkeit, ansprechende Benutzeroberflächen zu erstellen, die AI-gestützte Anwendungen ergänzen
• Vertrautheit mit Cloud-Infrastrukturmanagement und -bereitstellung (Docker, Terraform, GitHub Actions) ist von Vorteil
• Kenntnisse in der Azure-Infrastruktur (Netzwerkressourcen, Überwachung und Beobachtbarkeit) werden ebenfalls als Vorteil angesehen
• Deine fließenden Deutsch- und Englischkenntnisse sowie eine uneingeschränkte Mobilität im (inter-)nationalen Raum runden Dein Profil ab

Bewirb Dich jetzt - alles was wir brauchen, ist Dein CV!

Dein Capco Recruiting Team

*Wichtig ist nur, dass wir zueinander passen (m/w/d) #beyourselfatwork

Our Data & Engineering community is growing, and we’re now looking for a Senior Data Consultant (m/f/*) to join our team in Germany, supporting our global growth.

As a Senior Data Consultant, you will combine deep hands-on experience in modern data platforms — particularly Databricks — with a strategic, client-oriented mindset. You’ll advise organizations on how to design, implement, and scale data-driven architectures, while guiding them through every stage of their digital transformation journey.

WHAT WE OFFER

• Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Germany)
• The chance to accelerate your career and work with outstanding colleagues in a collaborative, global learning community across three continents
• Opportunities to shape cutting-edge data projects and see your ideas implemented in real-world solutions
• Balance your work and personal life: choose to work from home, in the office, or in a hybrid setup
• Annual performance reviews and continuous feedback focused on collaboration and growth, not hierarchy
• A personalized development plan and professional advancement opportunities
• Access to learning resources — paid certifications, unlimited Udemy Business, and more
• Local, virtual, and global team events to connect with colleagues worldwide

WHAT YOU’LL DO

• Advise clients on the design and implementation of scalable data architectures using Databricks Lakehouse Platform, with a strong focus on Apache Spark, Delta Lake, and Unity Catalog
• Translate complex business requirements into data strategies, architecture blueprints, and technical roadmaps
• Design, implement, and optimize data pipelines for analytics, machine learning, and business intelligence workloads
• Collaborate with stakeholders — from executives to technical teams — to align data initiatives with business goals
• Ensure data quality, governance, and security best practices within Databricks and related ecosystems
• Support pre-sales and discovery activities by identifying client needs and defining technical approaches
• Mentor junior consultants and contribute to the growth of our Databricks and data consulting expertise
• Stay current with emerging technologies and trends in cloud data platforms and AI-driven analytics

WHAT YOU’LL BRING

• Proven experience in data consulting or architecture, with hands-on expertise in Databricks on Azure, AWS, or GCP
• Deep knowledge of Spark (PySpark/Scala), Delta Lake, and MLflow
• Strong programming skills in Python or Scala, and experience with CI/CD pipelines (GitHub Actions, Azure DevOps, etc.)
• Solid understanding of data modeling, distributed computing, and performance optimization in cloud environments
• Experience advising or working directly with enterprise clients on data modernization or cloud migration projects
• Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure-as-code (e.g., Terraform)
• Excellent communication and stakeholder management skills, with the ability to translate technical solutions into business value
• Professional proficiency in German and English (C1 level, written and spoken)

Did we pique your interest, or do you have any questions?
We’d love to hear from you — contact us at recruiting@ultratendency.com

At Superchat, we’re reimagining how businesses communicate with their customers. Our mission is simple: Communicating with a business should be as easy and natural as talking to a friend.

What you'll do:

• You take ownership by building and delivering new features to our customers on your own
• You improve the performance of our platform to enhance the user experience for our customers
• You participate in discussions about the long-term architecture of Superchat
• You shape internal development processes and best practices that allow the engineering team to scale over time
• You bring your own ideas to the table to help shape our product

What you'll bring:

• You have 3+ years of hands-on experience in backend development, preferably within the JVM ecosystem
• You have experience with AWS (or other cloud providers) and Infrastructure as Code (Terraform)
• You have a strong understanding of version control systems, particularly Git
• You are able to plan, manage, and deliver projects independently and on time
• You are professionally fluent in written and spoken English

Tech stack:

• Kotlin with the Quarkus Framework. You have used Java/Spring Boot instead? Don't worry, we will get you into Kotlin/Quarkus very quickly
• AWS: RDS with Postgres, S3, SQS, SNS, SES, Lambda, Cloudfront
• OpenSearch
• LangGraph (AI infrastructure)
• GitHub Actions for CI/CD
• Linear (project management)
• LaunchDarkly (feature flagging)
• Doppler (secret management)
• DataDog / Sentry / BetterUptime to monitor our services
• Typescript / React / NextJS / TailwindCSS for our web application
• Typescript and React Native for our mobile application

Why Superchat:

Aside from our people, culture and mission, there are a variety of additional benefits that help make Superchat a great place to work!

• 26 days of paid vacation + 2 days off for Christmas and New Year's Eve (because we love what we do, but we also love vacation!)
• Regular company and team events like pizza & beer evenings, sport activities, legendary parties, and more!
• Annual personal development budget for conferences, courses, books, career coach, etc.
• An inclusive and exciting start-up environment culture that offers accelerated career and personal growth
• Beautiful office in the heart of Berlin (Prenzlauer Berg) equipped with ergonomic chairs, height adjustable desks, free snacks, beverages and overall good vibes

Superchat is the most comprehensive messaging-suite for small and medium-sized businesses. Using our platform, businesses of all sizes can connect with customers via any channel (WhatsApp, Facebook Messenger, Instagram, Telegram and many more) and send out payment requests, collect reviews and sell products in a modern and convenient way.

Superchat raised over $16.5 million in capital from leading Venture Capital funds Blossom Capital and 468 Capital as well as angel investors including the founders of Trivago, Lieferando and Lovoo.

This is an on-site role in Berlin. We are offering a hybrid model with 2 days home office per week.

You have to move? - relocation without stress. If you’re looking to relocate to Berlin, we’re ready to assist you with all the tips we have and an agency that can help you with all your needs. You’ll feel home in no time!

At Superchat, we're looking for people with passion, grit, and integrity. You're encouraged to apply, even if your experience doesn't precisely match the job description. Your skills and passion will stand out - and set you apart - especially if your career has taken some extraordinary twists and turns. At Superchat, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us!

We are looking forward to your application! 🙂

With your application you agree to our privacy policy.

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

Given our continued growth, we always have room for more intellect, energy, and enthusiasm - join our global team and see why it's so special to be a part of Mitratech!

Job Overview 

Responsibilities

• Design, deploy, and maintain scalable and secure infrastructure supporting AI and ML workloads.

• Build and maintain AWS cloud environments for compute (EC2, ECS/EKS, Lambda), storage (S3, EFS, FSx), and networking (VPC, Transit Gateway, PrivateLink, Route 53, load balancers).

• Implement security best practices using IAM, KMS, Secrets Manager, GuardDuty, and Security Hub.

• Support and optimize AI/ML workloads across AWS services (SageMaker, Bedrock, Batch, Step Functions).

• Develop and maintain Infrastructure as Code (IaC) using Terraform, AWS CDK, and CloudFormation.

• Manage containerized workloads and orchestration platforms (Docker, EKS, Fargate), including GPU scheduling and scaling.

• Set up and maintain monitoring and observability frameworks using CloudWatch and OpenTelemetry.

• Build and manage CI/CD pipelines (CircleCI, GitHub Actions, GitLab CI) for infrastructure automation and ML/Gen AI deployments.

• Collaborate with ML and Generative AI teams to scale models, optimize performance, and design efficient prompt or inference pipelines.

• Develop runbooks and SOPs for AI service deployment, troubleshooting, and performance optimization.

• Ensure security, compliance, and data protection across AI datasets and environments.

Required Skills & Experience

• Strong proficiency in Linux administration and systems-level troubleshooting.

• Deep expertise in AWS cloud services, with experience in compute, storage, networking, and security domains.

• Proficiency in container orchestration (Kubernetes/EKS) and infrastructure automation tools.

• Hands-on experience with IaC tools such as Terraform, AWS CDK, or CloudFormation.

• Familiarity with monitoring, logging, and observability stacks (Prometheus, Grafana, OpenTelemetry).

• Experience implementing CI/CD pipelines for automated deployment and testing.

• Understanding of AI/ML concepts, including model deployment, inference scaling, and LLM performance tuning.

• Working knowledge of security best practices, IAM roles, encryption, and compliance controls.

• Excellent collaboration and communication skills to partner with ML engineers, data scientists, and product teams.

Education:                         

• A Master’s degree in Machine Learning, Computer Science with a preference for specialization in the NLP domain.

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.