automation engineer

Protolabs

<div><div>Be yourself at Protolabs</div><div>
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace. So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply! You can help make our company even better. We do not discriminate based on race, color, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself. We strongly believe diversity makes for more successful teams.</div><div></div><div> 
Why Protolabs?</div><div>
We are the leaders in digital manufacturing. We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit. Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds. We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do. It&rsquo;s our people who fuel our creativity and make our culture feel like home.</div><div></div><h2 class="jobSectionHeader"> 
We are looking for a Senior QA Engineer to join our team!</h2>
<div>This is a hybrid role, and we are accepting applications from candidates based in the Netherlands.</div>
<div>
The Pricing Team at Protolabs is responsible for building, and maintaining, the intelligence behind how we quote production of custom-manufactured parts. We operate at the intersection of a complex two-sided marketplace; at the time of pricing, a customer uploads a CAD file and receives an instant quote, before we know which Manufacturing Partner will produce the part or at 
what cost.

We are looking for a Senior QA Engineer who will own quality across our pricing platform -backend services, APIs, data pipelines, and ML-driven estimates. You will design test strategies, build/maintain automation in our delivery pipelines, and give the team confidence to ship fast without sacrificing correctness in revenue-critical flows. You will work closely with software 
engineers, ML engineers, product, and business stakeholders (Finance, Sales) to turn requirements into verifiable, repeatable quality gates.
</div>
<h3 class="jobSectionHeader">What you&rsquo;ll do
</h3><div><ul><li>Support and evolve the test strategy for the Pricing domain, covering functional, integration, contract, regression, and non‑functional testing such as performance, reliability, and ML quality gating across services and APIs</li>
<li>Design, implement, and maintain automated test suites for APIs, events, integrations, and targeted end‑to‑end and performance scenarios aligned with the team&rsquo;s architecture, including API and event‑driven components and cloud deployments</li>
<li>Own and extend continuous testing within GitHub Actions or Azure DevOps CI/CD pipelines, ensuring test execution on PRs, enforcing quality gates, reporting results, managing flaky tests, and integrating with deployment workflows.</li>
<li>Validate pricing and ML outputs for correctness, edge cases, and regression, including geometry‑driven estimates, probabilistic forecasts, and model‑serving behaviour where applicable</li>
<li>Partner with engineers to improve testability through clear acceptance criteria, observable systems, contract testing between services, and shift‑left practices during code reviews. Investigate defects in production and pre‑production environments, perform root cause analysis, and drive preventative improvements such as closing automation gaps, increasing coverage, and enhancing processes</li>
<li>Contribute to release readiness by assessing risks, defining regression scope, providing go or no‑go input, and verifying system behaviour after release for pricing‑critical changes</li>
<li>Monitor quality metrics including coverage trends, defect escape rates, pipeline stability, and SLA‑related signals, and communicate status clearly to engineering and product leadership while automating post‑release monitoring</li>
<li>Mentor QA engineers and SDETs, promote testing standards, establish coding conventions for tests, and drive shared ownership of quality and testing frameworks across the engineering organisation. Participate in on‑call or incident support rotations when needed, focusing on reproductions, adding automated regression coverage, and ensuring long‑term fixes</li>
<li>Ensure the test approach aligns with relevant regulatory, audit, and data handling requirements, especially in the context of commercial pricing systems</li>
</ul></div><h3 class="jobSectionHeader">What you&rsquo;ll bring
</h3><ul><li><div>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience</div>
</li><li><div>7+ years of experience in software quality assurance, test automation, or SDET roles in a SaaS or production environment</div>
</li><li><div>Experience owning test automation and CI integration for backend or platform teams</div>
</li><li><div>Proven track record of leading test strategy or automation initiatives across cross functional products</div>
</li><li><div>Strong programming skills for test automation, especially in Python, with C# as a plus, and comfortable working directly in engineering codebases including reviews, fixes, shared libraries, and build pipelines</div>
</li><li><div>Solid experience with API and UI testing, along with component integration and service level integration testing</div>
</li><li><div>Hands on experience designing and maintaining GitHub Actions or similar CI pipelines, including parallel jobs, artefacts, secrets management, branch protections, and failure triage</div>
</li><li><div>Good understanding of databases such as PostgreSQL or MySQL, including writing data setup and assertions, understanding migration impacts, ensuring test isolation, and writing complex SQL queries</div>
</li><li><div>Experience working in cloud environments such as AWS, GCP, or Azure, and familiarity with containerised workloads including</div>
</li><li><div>Docker and basic Kubernetes concepts for test environments</div>
</li><li><div>ISTQB certification at foundation or advanced level, or equivalent formal QA training, with practical application of structured test design techniques such as equivalence partitioning, boundary value analysis, risk based testing, traceability, and quality modelling</div>
</li><li><div>Strong analytical skills when working in ambiguous domains, with the ability to translate finance, sales, and business rules into clear test cases and automation</div>
</li><li><div>A strong quality mindset with attention to detail, especially around pricing rules and regression in revenue impacting flows</div>
</li></ul><div>Nice to have</div>
<ul><li>Exposure to ML and MLOps testing, including model validation, A B or backtesting support, monitoring inference pipelines, and ensuring data quality</li>
<li>Experience with tools such as pytest, Playwright or similar for selective UI and API flows, Postman or Newman, contract testing frameworks, and performance tools like Locust</li>
<li>Familiarity with observability practices including logs, metrics, and traces for test failure diagnosis and production like verification</li>
<li>Experience participating in on call or incident response within a platform team</li>
<li>Experience with DBT or data testing frameworks</li>
</ul>
<div></div><h3 class="jobSectionHeader">What's in it for you?</h3><div>
<ul><li>Part of our incredible journey is clearly down to our amazing team, and we strongly believe in giving people a space to truly, authentically be themselves. We also believe that treating our employees well and sprinkling a great place to work with some nice perks can make work a little sweeter.</li>
<li>Annual company bonus. We celebrate success together! Employees are not only rewarded for their achievements but also for contributing to the overall success of the business.</li>
<li>Wellness and well-being with access to OpenUp psychologists, practice mindfulness with Headspace and tons more.</li>
<li>Doggo-friendly office. We are big pet lovers and fully encourage hanging out with your (and your colleagues&rsquo;) furry friends in the office</li>
<li>Daily Lunch and snacks are provided in the office; it's a moment for our teams to connect and recharge. Shared meals strengthen our bonds and fuel collaboration.</li>
<li>We offer learning and development days to be used for training or on volunteering, money to spend on learning courses, events, trainings, Access to our in-house LEARN platform with diverse courses, training, and workshops, In-house 3D Printing and much more!</li>
<li>Follow us on Instagram to see what Life at Protolabs is all about!</li></ul></div></div>

Senior QA Engineer

Tribe28

<div>
 
 We are seeking a DevOps engineer who specializes in the integration and automation of software development and IT operations. As a DevOps engineer, you work to streamline the software delivery process, from development to deployment, by utilizing various tools and methodologies that help to automate and optimize workflows.
 
 
 
 
 
 Your primary responsibility is to facilitate collaboration between development and operations teams. You will use your expertise in software development, system administration, and automation to build and maintain automated systems that can deploy, manage, and monitor software applications in production environments.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, create, own, and maintain systems and service deployments
 </li>
 <li>
 Continuously improve infrastructure for better scalability, security, and
 </li>
 </ul>
 
 fault tolerance
 
 <ul>
 <li>
 Integrate DevOps methodology into development, deployment, and
 </li>
 </ul>
 
 operations lifecycle
 
 <ul>
 <li>
 Create super clean, well-structured, efficient deployment, monitoring, and
 </li>
 </ul>
 
 application management scripts
 
 <ul>
 <li>
 Enable rapid deployment of new product features with the necessary
 </li>
 </ul>
 
 safeguards to maintain stability, high availability, and performance
 
 <ul>
 <li>
 Optimize infrastructure and phase out legacy systems.
 </li>
 <li>
 Monitor and proactively troubleshoot cloud and infra resources.
 </li>
 <li>
 Share your knowledge with regular knowledge-sharing sessions
 </li>
 <li>
 Clear documentation of your work.
 </li>
 <li>
 Keep application compliance with IT risk policies
 </li>
 <li>
 Maintain access matrix
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Strong experience managing, maintaining, and automating infrastructure (IaC)
 </li>
 <li>
 Proficient in at least one higher-order scripting language (e.g. Python)
 </li>
 <li>
 Strong experience in Container technologies.
 </li>
 <li>
 Strong experience with Container Orchestration tools. (OpenShift, Kubernetes)
 </li>
 <li>
 Strong experience automating the integration and deployment of
 </li>
 </ul>
 
 software (preferably via Azure Devops)
 
 <ul>
 <li>
 Strong experience using logging and monitoring tools to improve observability
 </li>
 </ul>
 
 across systems (e.g.(Grafana, Kibana, Prometheus, Collected)
 
 <ul>
 <li>
 Experience with ansible and/or other configuration management systems.
 </li>
 <li>
 Experience with Databases (e.g. Oracle, Mssql).
 </li>
 <li>
 Experience with Cloud (Azure, AWS).
 </li>
 <li>
 Experience with Linux
 </li>
 </ul>
 
 
 
 
 Tribe28 offers a competitive salary and a dynamic work environment that fosters growth and creativity. Join this team if you want to be a part of something big. We are not just looking for an employee, we&rsquo;re looking for a problem solver and an innovator but mostly a collaborator. If you have a passion for IT and enjoy working on challenging projects that can and will inspire you, apply now and make something amazing!
 
</div>

DevOps Engineer

Workato

<div>
 
 About Workato
 
 
 
 Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato&rsquo;s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
 
 
 
 Why join us?
 
 
 
 Ultimately, Workato believes in fostering a
 
 flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
 
 . We are driven by
 
 innovation
 
 and looking for
 
 team players
 
 who want to actively build our company.
 
 
 But, we also believe in
 
 balancing productivity with self-care
 
 . That&rsquo;s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
 
 
 If this sounds right up your alley, please submit an application. We look forward to getting to know you!
 
 
 
 Also, Feel Free To Check Out Why
 
 
 
 <ul>
 <li>
 Business Insider named us an &ldquo;enterprise startup to bet your career on&rdquo;
 </li>
 <li>
 Forbes&rsquo; Cloud 100 recognized us as one of the top 100 private cloud companies in the world
 </li>
 <li>
 Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
 </li>
 <li>
 Quartz ranked us the #1 best company for remote workers
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 We are looking for a
 
 Staff AI Engineer
 
 to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:
 
 
 <ul>
 <li>
 Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.
 </li>
 <li>
 Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.
 </li>
 <li>
 Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.
 </li>
 <li>
 Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
 </li>
 <li>
 Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
 </li>
 <li>
 Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
 </li>
 <li>
 Develop and enhance monitoring, validation, and observability for production-grade AI solutions.
 </li>
 <li>
 Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.
 </li>
 <li>
 Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.
 </li>
 <li>
 Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.
 
 
 </li>
 </ul>
 
 Example Projects
 
 
 
 <ul>
 <li>
 Building an evaluation and observability framework for AI model performance and reliability.
 </li>
 <li>
 Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.
 </li>
 <li>
 Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.
 </li>
 <li>
 Designing AI services that process and reason over high-volume real-world data at scale.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Qualifications / Experience / Technical Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
 </li>
 <li>
 5+ years of experience as a Software Engineer, with strong proficiency in Python.
 </li>
 <li>
 Proven track record of building and maintaining production-grade systems using Python.
 </li>
 <li>
 Strong understanding of distributed systems, API design, and data-driven architectures.
 </li>
 <li>
 Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
 </li>
 <li>
 Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
 </li>
 <li>
 Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).
 </li>
 <li>
 Python
 </li>
 <li>
 FastAPI
 </li>
 <li>
 LLM APIs (OpenAI, Anthropic, Qwen, OSS)
 </li>
 <li>
 LiteLLM
 </li>
 <li>
 Qdrant
 </li>
 <li>
 PostgreSQL
 </li>
 <li>
 ElasticSearch
 </li>
 <li>
 Langfuse
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 GitHub Actions
 </li>
 <li>
 ArgoCD
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).
 </li>
 <li>
 Background in developer platforms or AI infrastructure services.
 </li>
 <li>
 Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.
 </li>
 <li>
 Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.
 </li>
 <li>
 Experience developing enterprise-scale SaaS or distributed backend systems.
 </li>
 <li>
 Contributions to open-source projects in Python, AI, or infrastructure engineering.
 
 
 </li>
 </ul>
 
 Soft Skills / Personal Characteristics
 
 
 
 <ul>
 <li>
 Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.
 </li>
 <li>
 Collaborative and proactive approach, comfortable working across teams in a dynamic environment.
 </li>
 <li>
 Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.
 </li>
 <li>
 Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.
 
 
 </li>
 </ul>
 
 (REQ ID: 2460)
 
</div>

Staff AI Engineer

IMC Trading

<div>
 As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.
 
 
 This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC&rsquo;s technology and trading capabilities.
 
 
 
 Your Core Responsibilities
 
 
 
 <ul>
 <li>
 The opportunity to be in a brand new position in a growing team
 </li>
 <li>
 Develop large-scale distributed training pipelines to manage datasets and complex models
 </li>
 <li>
 Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
 </li>
 <li>
 Develop libraries to improve the performance of machine learning frameworks
 </li>
 <li>
 Maximize performance in training and inference using GPU hardware and acceleration libraries
 </li>
 <li>
 Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
 </li>
 <li>
 Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
 </li>
 <li>
 Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
 </li>
 <li>
 Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
 </li>
 <li>
 Dig into the internals of open-source ML tools to extend their capabilities and improve performance
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 5+ years of experience in machine learning with a focus on training or inference systems
 </li>
 <li>
 Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
 </li>
 <li>
 Strong engineering skills, including Python, CUDA, or C++
 </li>
 <li>
 Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
 </li>
 <li>
 Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
 </li>
 <li>
 Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
 </li>
 <li>
 Exposure to cloud platforms and orchestration tools
 </li>
 <li>
 A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
</div>

Machine Learning Engineer

HCLTech

Amsterdam, Noord-Holland
 Job Summary
 
Need a secure access file transfer engineer with Devops knowlege
 
Key Responsibilities
 
Job Responsibilities : Design and operate the interactive access service based on Apache Guacamole, containerized on OpenShift, translating HTTPS to native protocols (SSH, RDP, SQL, VNC) Build and maintain the file transfer service using S3 presigned URLs with time-bound expiry and tenant-scoped bucket/path access controls Engineer tenant isolation within shared SaaS-style deployments, ensuring each consuming team only accesses their own targets through predefined connections and network-level controls Design credential lifecycle automation: retrieval/seeding at session start, reset/removal at session stop, integrated with Privileged Access Management and credential stores Build session recording and logging pipelines shipping audit data to tenant-specified log repositories (Kafka, S3, Git) Implement metering and billing event generation for per-tenant consumption tracking Develop CI/CD pipelines for automated platform lifecycle management: provisioning, start, stop, decommissioning (immutable infrastructure / cattle model) Collaborate with security teams to refine detection scenarios every sprint and maintain audited control reporting (Seven IT Risk Controls, COBIT framework) Define and monitor SLIs/SLOs: start latency, session success rate, recording completeness, tenant isolation violations, credential reset compliance
 
Skill Requirements
 
Skill Requirement : 3+ years hands-on experience with Kubernetes/OpenShift in production (deployment, networking, RBAC, persistent storage, operators) Proficiency in Go and Python for platform service development, automation, and tooling Strong Linux systems engineering (SSH, networking, security hardening, systemd) Container orchestration and CI/CD pipeline design (Helm, ArgoCD, Tekton, or equivalent) S3-compatible object storage (MinIO or AWS S3): presigned URLs, bucket policies, IAM integration Azure DevOps for backlog management, CI/CD pipelines, and release workflows Infrastructure as Code: Terraform, Ansible, or equivalent Understanding of security principles: zero-trust, defence-in-depth, protocol insulation, MFA, credential management Experience with IAM systems, directory services integration, and conditional access policies Familiarity with logging and monitoring stacks (Kafka, Elasticsearch, Prometheus/Grafana)
 
Other Requirements
 
Other Requirement : VMware Cloud Foundation (VCF) experience or familiarity with VCF-based infrastructure Experience with Privileged Access Management tooling (CyberArk, HashiCorp Vault) Experience with Apache Guacamole or similar remote access gateway technologies RDP and Windows Server administration knowledge Experience in regulated financial services environments (DORA, NIS2, or equivalent regulatory frameworks) Understanding of network segmentation and firewall rule management SOC2 Type 2 reporting or equivalent security assurance frameworks Experience designing metering/billing event pipelines for internal platform products
 
#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-

SME - Microsoft Azure - IaaS, Azure Kubernetes Service

Canyon Bicycles GmbH

We are a community open to everyone. One global team where everyone counts.
 
Join the Canyon team and work at the cutting edge of the bike industry, with a job as versatile and exciting as the bikes we develop. All in an open, international atmosphere where teamwork, collaboration, true innovation, and a dynamic workplace are all part of our everyday. Ready to ride with us?
 
Stellenbeschreibung
 
THE ROLE
 
As a direct-to-consumer e-commerce company, our digital products are part of the Canyon DNA and a key factor in delivering our brand experience to our customers. We're looking for a DevOps Engineer (m/f/d) who owns the infrastructure behind our apps — including our Backend for Frontend architecture in Azure — and the deployment processes that ship them. You will act as an important interface between our various digital products, and you'll value active contribution and the continuous optimisation of existing processes to improve ourselves as a team and, above all, our solutions.
 
This role can be hired in Koblenz, Amsterdam or Barcelona.
 
YOUR JOB AS PART OF THE CANYON CREW
 
In your first months: 
Infrastructure Provisioning
 
: Provision, set up, and operate the infrastructure for our apps, including our Backend for Frontend architecture in Azure.
 
CI/CD Optimization
 
: Maintain and improve our Continuous Integration (CI) and Continuous Delivery (CD) tooling.
 
Process Automation
 
: Automate build, deployment, and release processes to make shipping safe and repeatable.
 
Infrastructure as Code (IaC)
 
: Manage infrastructure as code with Terraform across our Azure environments.
 
As you grow into the role: 
Strategic Infrastructure Ownership
 
: Own the strategy, provisioning, and administration of the infrastructure behind our deployment, monitoring, and test automation processes.
 
Platform Development
 
: Continuously develop and optimise our processes and software platforms.
 
Interface Management
 
: Act as the interface between app development and our e-commerce and CRM systems.
 
Observability & Operational Readiness
 
: Strengthen observability and operational readiness through structured monitoring, logging, and alerting.
 
Reliability Engineering
 
: Improve reliability through automation, reducing manual operational toil.
 
Technical Environment
 
We build and operate our platforms on Azure and automate everything we can. Specific experience with these tools is a plus, but strong fundamentals matter most.
 
Cloud & Infrastructure
 
Microsoft Azure
 
Infrastructure as Code with Terraform
 
Backend for Frontend architecture in Azure
 
Server systems (Windows, Mac, Linux)
 
CI/CD & Automation
 
Continuous Integration and Continuous Delivery pipelines
 
Automated build, deployment, and release processes
 
DevOps tooling (e.g. Azure DevOps, Bitbucket)
 
Scripting (e.g. Java, JavaScript, Python, Ruby)
 
Observability & Operations
 
Monitoring, structured logging, and alerting (Grafana Cloud)
 
Test automation infrastructure
 
HOW YOU BECOME PART OF THE RACE
 
At least three years of professional experience in a DevOps, infrastructure, or platform role
 
Solid knowledge of scripting languages
 
Strong knowledge of MS Azure and hands-on experience with Terraform
 
Experience with DevOps tooling
 
Knowledge of various server systems
 
Familiarity with agile methodologies in your day-to-day work
 
A self-driven, independent working style combined with strong professional communication within and beyond your team
 
Excellent written and spoken English
 
A completed degree in computer science, business informatics (or a comparable field), or a vocational qualification in IT
 
Nice to Have
 
Experience supporting e-commerce and CRM systems
 
Containerisation and orchestration experience
 
Cost-awareness and performance optimisation in cloud environments
 
Comfort working with AI-assisted development tools (e.g. Codex, Claude, or similar agentic coding environments)
 
Interest in connected products or the cycling domain
 
HIGHLIGHTS ON YOUR CANYON TOUR
 
The Canyon Crew & Culture: 
Combine energy and transparency in a global team. We promote a strong feedback culture, unique Canyon events, and inspiring crew rides. Your voice matters in creating an inclusive workplace where well-being is a priority.
 
Feel Canyon (Product Perks): 
Unlock your passion for cycling! Enjoy exclusive discounts on bikes, gear, and apparel as part of our commitment to fueling your journey.
 
Compensation & Rewards: 
Experience a rewarding career with a competitive market-based salary and generous paid time off. Your satisfaction is our priority.
 
Life-Work Integration: 
Join us for a career that prioritizes balance through flexible and hybrid work options in a family-friendly environment.
 
Impact & Development: 
Shape the future of mobility. We offer diverse career paths across operational, strategic, creative, or technical roles, where innovation and sustainability consistently challenge and inspire you.

DevOps ENGINEER (M/F/D)

PRACYVA

<div>
 
 We are seeking an experienced
 
 Senior AS400 Engineer
 
 to join the DevOps team. The role focuses on maintaining, enhancing, and supporting AS400 (IBM i) applications while ensuring business continuity and operational stability. The ideal candidate will have strong expertise in RPG development, production support, DevOps practices, and legacy system modernization.
 
 
 
 Key Responsibilities
 
 
 
 
 Application Development &amp; Maintenance
 
 
 <ul>
 <li>
 Maintain, enhance, and support existing AS400 (IBM i) applications.
 </li>
 <li>
 Develop fixes and new enhancements for legacy applications.
 </li>
 <li>
 Perform code analysis, debugging, and application optimization.
 </li>
 <li>
 Ensure high application availability and business continuity.
 </li>
 </ul>
 
 
 Production Support
 
 
 <ul>
 <li>
 Perform incident triage, troubleshooting, and issue resolution.
 </li>
 <li>
 Conduct Root Cause Analysis (RCA) for production issues.
 </li>
 <li>
 Manage ITSM tickets while meeting SLA, MTTR, and incident reduction targets.
 </li>
 <li>
 Support batch jobs, job scheduling, and system monitoring.
 </li>
 </ul>
 
 
 Technical Leadership
 
 
 <ul>
 <li>
 Mentor junior engineers and provide technical guidance.
 </li>
 <li>
 Act as Team Lead whenever required.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure smooth project delivery.
 </li>
 </ul>
 
 
 Integration &amp; Legacy Systems
 
 
 <ul>
 <li>
 Support integrations between AS400 and enterprise systems such as SAP, POS, and logistics platforms.
 </li>
 <li>
 Analyze APIs, data flows, and system dependencies.
 </li>
 <li>
 Work with custom-built ERP and legacy applications.
 </li>
 </ul>
 
 
 Modernization &amp; DevOps
 
 
 <ul>
 <li>
 Support AS400 modernization initiatives and SAP S/4HANA migration programs.
 </li>
 <li>
 Contribute to DevSecOps initiatives and improve deployment processes.
 </li>
 <li>
 Understand coexistence strategies during AS400 to SAP transitions.
 </li>
 <li>
 Support monitoring, observability, CI/CD, and release management practices.
 </li>
 </ul>
 
 
 Required Technical Skills
 
 
 
 
 AS400 / IBM i
 
 
 <ul>
 <li>
 RPG III
 </li>
 <li>
 RPG IV
 </li>
 <li>
 RPG ILE
 </li>
 <li>
 RPG Free Format
 </li>
 <li>
 CLP Programming
 </li>
 <li>
 LANSA
 </li>
 <li>
 DB2/400 (DB400)
 </li>
 <li>
 Embedded SQL
 </li>
 </ul>
 
 
 System Knowledge
 
 
 <ul>
 <li>
 AS400 Job Processing
 </li>
 <li>
 Batch Processing &amp; Scheduling
 </li>
 <li>
 Database Design
 </li>
 <li>
 File Systems &amp; Data Structures
 </li>
 <li>
 Legacy ERP Systems
 </li>
 <li>
 Custom Applications
 </li>
 </ul>
 
 
 Production Support
 
 
 <ul>
 <li>
 Incident Management
 </li>
 <li>
 Root Cause Analysis (RCA)
 </li>
 <li>
 ITSM Tools
 </li>
 <li>
 Ticket Management
 </li>
 <li>
 SLA &amp; MTTR Management
 </li>
 </ul>
 
 
 Good to Have Skills
 
 
 <ul>
 <li>
 SAP S/4HANA Migration
 </li>
 <li>
 Legacy System Modernization
 </li>
 <li>
 Automation Tools
 </li>
 <li>
 AI-Assisted Troubleshooting
 </li>
 <li>
 Knowledge Graph &amp; Documentation Tools
 </li>
 <li>
 DevOps Practices
 </li>
 <li>
 Monitoring &amp; Observability
 </li>
 <li>
 CI/CD
 </li>
 <li>
 Release Management
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to work with poorly documented legacy systems.
 </li>
 <li>
 Experience in reverse engineering applications.
 </li>
 <li>
 Strong stakeholder management and collaboration skills.
 </li>
 <li>
 Ability to work with Business SMEs, SAP teams, vendors, and multi-vendor environments.
 </li>
 <li>
 Ownership mindset with a strong focus on system stability and business continuity.
 </li>
 <li>
 Quick learner with the ability to understand complex legacy applications.
 </li>
 </ul>
 
 
 Key Performance Indicators (KPIs)
 
 
 <ul>
 <li>
 SLA Compliance
 </li>
 <li>
 MTTR (Mean Time to Resolution)
 </li>
 <li>
 Incident Reduction
 </li>
 <li>
 Escalation Management
 </li>
 <li>
 DORA Metrics
 </li>
 <li>
 Change Deployment Rate
 </li>
 <li>
 Business Continuity &amp; Operational Stability
 </li>
 </ul>
 
 
 
</div>

AS400

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