At Cision, we build software that supports large-scale, global enterprise infrastructure. Our teams enable platform, operations, and engineering groups with tools that improve visibility, reliability, automation, and decision-making across complex systems.
We are seeking a Staff Full Stack Software Engineer to lead the design and delivery of internal platforms used by enterprise infrastructure teams. This is a senior individual contributor role for an engineer who thrives in ambiguity, works independently, and owns systems end-to-end—from architecture through production operations.
You will operate as a technical leader within the team, influencing design decisions, setting engineering standards, and delivering high-impact solutions across backend services, data pipelines, and user-facing applications.

What You’ll Do
• Architect, build, and own full-stack software platforms supporting enterprise infrastructure and operations teams.
• Lead the technical design of systems that ingest, process, analyze, and expose infrastructure and operational data at scale.
• Develop backend services and APIs for data collection, enrichment, and querying.
• Build and maintain web interfaces with advanced search, filtering, and usability tailored for technical users.
• Design and implement ETL and data processing pipelines for structured and semi-structured data sources.
• Ensure applications are fully containerized and production-ready using Docker and Kubernetes-based deployment models.
• Act as a technical authority on system design, performance, reliability, and maintainability.
• Collaborate with platform, infrastructure, security, and product stakeholders to shape solutions aligned with long-term platform strategy.
• Set and uphold engineering best practices around testing, code quality, documentation, and operational readiness.
• Review designs and code across the team, providing clear guidance and raising the overall technical bar.
• Identify systemic issues, reduce technical debt, and proactively improve platform scalability and developer experience.

What You’ll Bring
• Extensive experience as a Staff or Senior Full Stack Software Engineer working on complex, production systems.
• Proven ability to operate independently in ambiguous problem spaces and drive solutions to completion.
• Strong backend engineering experience, including API design and data-intensive services.
• Experience building data-driven applications involving ingestion, transformation, and analysis.
• Proficiency in one or more backend languages such as C#, Python, Go, or Java.
• Strong SQL skills and experience with relational databases.
• Hands-on experience with Docker and containerized application delivery.
• Solid understanding of distributed systems fundamentals and cloud-native application design.
• Experience working with CI/CD pipelines and modern software development workflows.
• Excellent technical judgment, communication skills, and ability to influence without authority.

Preferred Experience
• Experience designing and operating systems on Kubernetes.
• Familiarity with PostgreSQL, MySQL, or similar databases.
• Experience with ETL pipelines, analytics platforms, or operational data tooling.
• Exposure to cloud platforms such as GCP or AWS.
• Background building internal platforms or tools for infrastructure, SRE, DevOps, or platform engineering teams.
• Understanding of observability, cost optimization, reliability engineering, or infrastructure automation.
Education & Experience
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• Typically 10+ years of professional software engineering experience, with demonstrated ownership of large or critical systems.

At Cision, we build software that supports large-scale, global enterprise infrastructure. Our teams enable platform, operations, and engineering groups with tools that improve visibility, reliability, automation, and decision-making across complex systems.
We are seeking a Staff Full Stack Software Engineer to lead the design and delivery of internal platforms used by enterprise infrastructure teams. This is a senior individual contributor role for an engineer who thrives in ambiguity, works independently, and owns systems end-to-end—from architecture through production operations.
You will operate as a technical leader within the team, influencing design decisions, setting engineering standards, and delivering high-impact solutions across backend services, data pipelines, and user-facing applications.

What You’ll Do
• Architect, build, and own full-stack software platforms supporting enterprise infrastructure and operations teams.
• Lead the technical design of systems that ingest, process, analyze, and expose infrastructure and operational data at scale.
• Develop backend services and APIs for data collection, enrichment, and querying.
• Build and maintain web interfaces with advanced search, filtering, and usability tailored for technical users.
• Design and implement ETL and data processing pipelines for structured and semi-structured data sources.
• Ensure applications are fully containerized and production-ready using Docker and Kubernetes-based deployment models.
• Act as a technical authority on system design, performance, reliability, and maintainability.
• Collaborate with platform, infrastructure, security, and product stakeholders to shape solutions aligned with long-term platform strategy.
• Set and uphold engineering best practices around testing, code quality, documentation, and operational readiness.
• Review designs and code across the team, providing clear guidance and raising the overall technical bar.
• Identify systemic issues, reduce technical debt, and proactively improve platform scalability and developer experience.

What You’ll Bring
• Extensive experience as a Staff or Senior Full Stack Software Engineer working on complex, production systems.
• Proven ability to operate independently in ambiguous problem spaces and drive solutions to completion.
• Strong backend engineering experience, including API design and data-intensive services.
• Experience building data-driven applications involving ingestion, transformation, and analysis.
• Proficiency in one or more backend languages such as C#, Python, Go, or Java.
• Strong SQL skills and experience with relational databases.
• Hands-on experience with Docker and containerized application delivery.
• Solid understanding of distributed systems fundamentals and cloud-native application design.
• Experience working with CI/CD pipelines and modern software development workflows.
• Excellent technical judgment, communication skills, and ability to influence without authority.

Preferred Experience
• Experience designing and operating systems on Kubernetes.
• Familiarity with PostgreSQL, MySQL, or similar databases.
• Experience with ETL pipelines, analytics platforms, or operational data tooling.
• Exposure to cloud platforms such as GCP or AWS.
• Background building internal platforms or tools for infrastructure, SRE, DevOps, or platform engineering teams.
• Understanding of observability, cost optimization, reliability engineering, or infrastructure automation.
Education & Experience
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• Typically 10+ years of professional software engineering experience, with demonstrated ownership of large or critical systems.

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

We are hiring across multiple teams!

As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. We are currently hiring Senior Software Engineers for the following teams:

- Workload Optimization - Automates workload resource management by dynamically adjusting resource allocations, helping developers significantly reduce costs and improve application reliability.

- Karpenter - The Karpenter team powers the integration between Karpenter and Cast AI, bringing enterprise capabilities to the most popular open source Kubernetes autoscaler. We enhance Karpenter with advanced features that improve application reliability and performance while optimizing costs. By joining the team, you’ll bridge open source innovation with enterprise requirements, directly impacting how organizations run Karpenter at scale.

- Reporting - Builds a scalable reporting system that ingests millions of rows per second into our time-series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.

- Pricing - Drives the synchronization of public and customer cloud resources, availability, and dynamic pricing across all major cloud providers. Empowers autoscaling by leveraging discounts, commitments, and cross-cluster tracking to maximize savings. Provides a reliable source of truth for node pricing, resources, components, discounts, and commitments.

- Autoscaler - Automates Kubernetes node autoscaling to optimize clusters, balance workloads, remove underutilized nodes, and dynamically allocate capacity in real-time, thereby reducing cluster costs by half.

- Identity -  Builds and maintains the trust and access foundation for the entire platform, ensuring every user, service, and workload authenticates and interacts securely and seamlessly at scale.

- Billy -  Powers the critical day-2 operations layer of the platform - from billing and audit trails to notifications and feature flags - ensuring the platform runs reliably, transparently, and at scale for every customer, every day.

Here are some of the tools we use daily:

• Programming Languages: Go
• Cloud & Orchestration: Kubernetes, AWS, GCP, Azure
• Databases & Storage: PostgreSQL, Cloud Object Storage
• Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs
• Observability: Prometheus, Grafana, Loki, Tempo
• CI/CD & GitOps: GitLab CI with ArgoCD.

Requirements:

• Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
• Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) - including real understanding of how compute, networking, and storage work under the hood.
• Understanding of Kubernetes internals - autoscaling and networking.
• You've personally driven a complex project end-to-end.
• Strong debugging, optimization, and performance-tuning skills - including query profiling, index design, and database performance tuning beyond ORM usage.
• You've run observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
• CI/CD and DevOps practices experience.
• Strong English skills, both verbal and written.
• Startup mindset: adaptable, proactive, and comfortable with ambiguity.

Responsibilities:

• Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
• Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
• Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
• Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
• Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
• Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

The Product: MetaDefender MFT

MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete rearchitecture designed for scale, security, and the future. It is built to be:

• A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
• A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
• A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.

You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.

The Position 

At OPSWAT’s Technology Development Centre in Timisoara, we are looking for a talented DevOps Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!

In Timisoara, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies. 
We support professional development through training, mentoring, and real opportunities for advancement. The Timisoara office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Timisoara is the place for you.

As a DevOps Engineer at OPSWAT, you own the on-premise infrastructure that the MFT and MFT Enterprise demo environments run on. You keep CI/CD pipelines green across both products, build the Kubernetes-based deployment foundation for MFT Enterprise, and ensure no critical infrastructure knowledge lives in a single person’s head. You use AI agents to automate repetitive ops work — scripting, config generation, runbook creation — so your leverage grows over time. You are measured by pipeline reliability, environment stability, and recovery speed, not ticket volume. You think in systems: you see how CI/CD, Kubernetes, security, and application delivery fit together — and you build for resilience, not just functionality.

If you’re interested in working as a DevOps Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have The Opportunity to

• Own CI/CD pipeline stability across MFT and MFT Enterprise — maintaining fast, reliable builds and deployments for both on-premise products.
• Build and baseline the Kubernetes-based on-premise deployment environment for MFT Enterprise — establishing the containerised infrastructure foundation the product will ship and scale on.
• Reduce single-resource dependency on infrastructure — document runbooks, cross-train teammates, and automate institutional knowledge so the team operates without critical bottlenecks.
• Own infrastructure-related escalations reliably — diagnose incidents quickly, resolve with urgency, write post-mortems, and implement systemic fixes that prevent recurrence.
• Use AI agents to automate infrastructure tasks — generating scripts, configuration, and runbooks — so repetitive ops work is delegated to agents and human effort focuses on judgment and architecture.
• Author and maintain infrastructure-as-code and AI context files for every environment you own — treating infrastructure with the same rigour as application code, versioned, reviewed, and agent-readable.
• Collaborate with the engineering team to define on-premise deployment patterns, environment standards, and infrastructure guardrails for MFT Enterprise — so the product ships on a stable, well-understood foundation.
• Help troubleshoot infrastructure issues in customer environments — partnering with the support team to reproduce problems, identify root causes, and deliver fixes that improve environment reliability.
• Act as the security gatekeeper for all infrastructure environments — enforcing secrets management practices, detecting and remediating leaked credentials, and ensuring access to CI/CD pipelines and deployment configurations follows least-privilege principles.

What We Are Looking For  

• AI-Native Fluency: Uses AI agents as core ops tools, not add-ons — generating scripts, configs, and runbooks through agents, and approaching infrastructure automation with an AI-native mindset. Must show real work where agents drove operational velocity.
• CI/CD Expertise: 3+ years hands-on experience building and maintaining CI/CD pipelines (GitHub Actions, TeamCity, or equivalent) at production scale — diagnosing failures fast and shipping fixes without disrupting teams.
• Kubernetes Proficiency: Hands-on experience deploying, configuring, and maintaining Kubernetes-based environments in on-premise contexts — comfortable with cluster management, workload configuration, and troubleshooting in staging and production.
• Infrastructure as Code: 2+ years proficiency with IaC tools (Terraform, Ansible, Helm, or equivalent) — infrastructure is treated as versioned, reviewed code, not manual configuration.
• Reliability Mindset: Proven ability to own and resolve infrastructure incidents under pressure — writes clear post-mortems, drives systemic improvements, and proactively reduces bus factor through documentation and cross-training.

It Would Be Nice If You Had

• Experience with cloud platforms: Exposure to AWS, Azure, or GCP — useful for CI/CD tooling and build infrastructure even where the product itself is on-premise.
• Observability: Experience with monitoring, alerting, and tracing stacks (Prometheus, Grafana, ELK, or equivalent) — making failure visible before users notice it.
• Security-hardened infrastructure: Applying security controls to infrastructure — network policies, secrets management, least-privilege access — in enterprise or compliance-driven environments.
• AI in CI/CD: Running AI agents inside pipelines — auto-generating configs, validating infrastructure changes, or triggering remediation as pipeline steps.
• Home lab or personal projects: A personal infrastructure project — self-hosted Kubernetes, home automation, or anything showing genuine curiosity and hands-on initiative outside of work.

Why You'll Love Working Here 

• Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
• Stable, growing international company background with an exceptional customer group across 50+ countries.
• Modern technology environment with active investment in AI-native engineering practices.
• Professional development through training, mentoring, and real opportunities for advancement.
• Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
• Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
• Attractive compensation with regular performance assessments, and team activities.

The Position

At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented Machine Learning Operations Engineers to join our teams developing and deploying advanced AI-driven cybersecurity solutions that protect critical infrastructure across the globe. If you are knowledgeable, creative, and passionate about building reliable, scalable, and efficient ML pipelines and infrastructure - enabling data scientists to deliver innovative models seamlessly into production - then you could be exactly who we’re looking for! 

In Veszprém, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies.  We support professional development through training, mentoring, and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Veszprém is the place for you.

At OPSWAT, we believe that great talent is always worth getting to know, even when there are no current vacancies. Our Evergreen Machine Learning Operations Engineer position offers continuously open opportunities for enthusiastic and motivated professionals who may join us in the future. It is not tied to a specific vacancy, but it enables us to get to know you and stay in touch, so that when a new opportunity arises, you could be among the first people we reach out to.  

If you’re interested in working as a Machine Learning Operations Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have the Opportunity to

• Build and maintain robust CI/CD pipelines for ML models and data workflows
• Automate and manage the end-to-end lifecycle of machine learning models, from training to deployment and monitoring
• Develop infrastructure to support scalable, reproducible model training and serving in Cloud or on-premise environments
• Monitor model performance in production, detect model/data drift, and implement alerting systems
• Collaborate with Data Scientists and DevOps Engineers to operationalize ML models and integrate them into products
• Drive Infrastructure-as-Code (IaC) and DevOps best practices in ML environments
• Identify and troubleshoot production issues with ML models
• Collaborate with cross-functional and product teams to identify, develop, and test out new ideas
• Build and nourish a culture of data-driven decision making, influencing the mindset of colleagues and management as well

What We Are Looking For

• 3+ years of experience in MLOps, DevOps, or ML Engineering
• Strong programming skills in Python and Bash
• Experience with ML frameworks as training/serving (e.g., Ray, Sagemaker jobs)
• Knowledge of monitoring tools and best practices for production ML systems(eg: Tensorboard, Datadog,Streamlit)
• Hands-on experience with CI/CD tools (e.g., GitHub Actions, Bitbucket pipelines, TeamCity)
• Proficiency with containerization and orchestration (Docker, Kubernetes)
• Experience with Cloud platforms (AWS, GCP, or Azure) and ML services (e.g., SageMaker, Vertex AI, MLflow, Kubeflow) and automation solutions (terraform / ansible / others)
• Knowledge of monitoring tools and best practices for production ML systems
• Solid understanding of the ML model lifecycle, versioning, and reproducibility
• Strong communication skills and the ability to work cross-functionally
• Experience with Linux systems
• Excellent troubleshooting skills and a commitment to document findings

Why You'll Love Working Here

• Stable, growing international company background with an exceptional customer group 
• Opportunity to improve your professional skills 
• The newest technology environment 
• Language course and opportunity for active recreation – kettlebell, football and office massage 
• Attractive working environment – nice office full of accessories (fruits every day, coffee, breakfast, tea etc.)
• Regular team events and Happy Hour activities 

The Product: MetaDefender MFT

MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete rearchitecture designed for scale, security, and the future. It is built to be:

• A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
• A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
• A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.

You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.

The Position 

At OPSWAT’s Technology Development Centre in Veszprém, we are looking for a talented DevOps Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!

In Veszprém, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies. 
We support professional development through training, mentoring, and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Veszprém is the place for you.

As a DevOps Engineer at OPSWAT, you own the on-premise infrastructure that the MFT and MFT Enterprise demo environments run on. You keep CI/CD pipelines green across both products, build the Kubernetes-based deployment foundation for MFT Enterprise, and ensure no critical infrastructure knowledge lives in a single person’s head. You use AI agents to automate repetitive ops work — scripting, config generation, runbook creation — so your leverage grows over time. You are measured by pipeline reliability, environment stability, and recovery speed, not ticket volume. You think in systems: you see how CI/CD, Kubernetes, security, and application delivery fit together — and you build for resilience, not just functionality.

If you’re interested in working as a DevOps Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have The Opportunity to

• Own CI/CD pipeline stability across MFT and MFT Enterprise — maintaining fast, reliable builds and deployments for both on-premise products.
• Build and baseline the Kubernetes-based on-premise deployment environment for MFT Enterprise — establishing the containerised infrastructure foundation the product will ship and scale on.
• Reduce single-resource dependency on infrastructure — document runbooks, cross-train teammates, and automate institutional knowledge so the team operates without critical bottlenecks.
• Own infrastructure-related escalations reliably — diagnose incidents quickly, resolve with urgency, write post-mortems, and implement systemic fixes that prevent recurrence.
• Use AI agents to automate infrastructure tasks — generating scripts, configuration, and runbooks — so repetitive ops work is delegated to agents and human effort focuses on judgment and architecture.
• Author and maintain infrastructure-as-code and AI context files for every environment you own — treating infrastructure with the same rigour as application code, versioned, reviewed, and agent-readable.
• Collaborate with the engineering team to define on-premise deployment patterns, environment standards, and infrastructure guardrails for MFT Enterprise — so the product ships on a stable, well-understood foundation.
• Help troubleshoot infrastructure issues in customer environments — partnering with the support team to reproduce problems, identify root causes, and deliver fixes that improve environment reliability.
• Act as the security gatekeeper for all infrastructure environments — enforcing secrets management practices, detecting and remediating leaked credentials, and ensuring access to CI/CD pipelines and deployment configurations follows least-privilege principles.

What We Are Looking For  

• AI-Native Fluency: Uses AI agents as core ops tools, not add-ons — generating scripts, configs, and runbooks through agents, and approaching infrastructure automation with an AI-native mindset. Must show real work where agents drove operational velocity.
• CI/CD Expertise: 3+ years hands-on experience building and maintaining CI/CD pipelines (GitHub Actions, TeamCity, or equivalent) at production scale — diagnosing failures fast and shipping fixes without disrupting teams.
• Kubernetes Proficiency: Hands-on experience deploying, configuring, and maintaining Kubernetes-based environments in on-premise contexts — comfortable with cluster management, workload configuration, and troubleshooting in staging and production.
• Infrastructure as Code: 2+ years proficiency with IaC tools (Terraform, Ansible, Helm, or equivalent) — infrastructure is treated as versioned, reviewed code, not manual configuration.
• Reliability Mindset: Proven ability to own and resolve infrastructure incidents under pressure — writes clear post-mortems, drives systemic improvements, and proactively reduces bus factor through documentation and cross-training.

It Would Be Nice If You Had

• Experience with cloud platforms: Exposure to AWS, Azure, or GCP — useful for CI/CD tooling and build infrastructure even where the product itself is on-premise.
• Observability: Experience with monitoring, alerting, and tracing stacks (Prometheus, Grafana, ELK, or equivalent) — making failure visible before users notice it.
• Security-hardened infrastructure: Applying security controls to infrastructure — network policies, secrets management, least-privilege access — in enterprise or compliance-driven environments.
• AI in CI/CD: Running AI agents inside pipelines — auto-generating configs, validating infrastructure changes, or triggering remediation as pipeline steps.
• Home lab or personal projects: A personal infrastructure project — self-hosted Kubernetes, home automation, or anything showing genuine curiosity and hands-on initiative outside of work.

Why You'll Love Working Here 

• Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
• Stable, growing international company background with an exceptional customer group across 50+ countries.
• Modern technology environment with active investment in AI-native engineering practices.
• Professional development through training, mentoring, and real opportunities for advancement.
• Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
• Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
• Attractive compensation with regular performance assessments, and team activities.

The Position

At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented Machine Learning Engineers to join our teams developing advanced AI-driven cybersecurity solutions that protect critical infrastructure across the globe.
If you are knowledgeable, creative, and passionate about using data to design and build innovative machine learning models, and you’re eager to tackle complex challenges to create solutions no one else is developing, then you could be exactly who we’re looking for!

In Veszprém, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies.  We support professional development through training, mentoring, and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Veszprém is the place for you.

At OPSWAT, we believe that great talent is always worth getting to know, even when there are no current vacancies. Our Evergreen Machine Learning Engineer position offers continuously open opportunities for enthusiastic and motivated professionals who may join us in the future. It is not tied to a specific vacancy, but it enables us to get to know you and stay in touch, so that when a new opportunity arises, you could be among the first people we reach out to.  

If you’re interested in working as a Machine Learning Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have the Opportunity to

• Taking models (often from data scientists) and integrating them into production systems.
• Designing robust pipelines to feed real-time or batch data into ML models.
• Ensuring models run efficiently in production (speed, scalability, memory usage).
• Setting up CI/CD for ML workflows, monitoring models, retraining, and handling model drift.
• Writing production-quality code, ensuring system reliability and scalability.
• Working closely with data engineers and DevOps to ensure ML services operate reliably in distributed environments.
• Building and testing experimental models as proof-of-concept before full deployment.
• Embedding ML/AI solutions into applications, services, and user-facing products.

What Are We Looking For

• Experience in AI and ML development and operations (MLOps)
• Solid understanding of optimization strategies, ML algorithms, training & testing, performance analysis and evaluation methodologies
• Programming expertise in some relevant language (Python, C++).
• Ability to present findings, work both independently and within small groups
• Strong attention to detail and an ambition to learn & experiment with new things in the field of cybersecurity
• Experience with cloud computing (AWS preferred) and edge computing in the context of ML and AI is nice to have

Why You'll Love Working Here

• Stable, growing international company background with an exceptional customer group 
• Opportunity to improve your professional skills 
• The newest technology environment 
• Language course and opportunity for active recreation – kettlebell, football and office massage 
• Attractive working environment – nice office full of accessories (fruits every day, coffee, breakfast, tea etc.) 
• Regular team events and Happy Hour activities 

Position Overview:  

As a Senior Software Engineer at Diligent, you’ll be hands-on in shaping the future of our platform by designing and delivering secure, scalable, and high-performing microservices that power our SaaS solutions. You’ll have the full power of AWS at your disposal and will work primarily in C#/.Net Core and Angular to build serverless solutions, either from the ground up or by modernizing existing services. 

In this role, you’ll lead by example, owning services end-to-end from development to deployment and monitoring, driving architectural discussions, and mentoring others across the team. You’ll be a key voice in evolving our engineering practices and will actively champion the use of AI-powered tools to streamline development, improve quality, and boost team productivity. 

We’re looking for someone who is not only passionate about building great software but also excited to explore how AI can unlock better ways of working for themselves and their teammates. 

Key Responsibilities: 

• Design and own secure, scalable services, guiding technical decisions and evaluating trade-offs (including AI-driven components) to meet reliability, performance, and cost goals.
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping, while rigorously validating outputs to ensure quality and safety.
• Advise on appropriate AI use (model concepts, prompt patterns, ethical/privacy considerations), embed monitoring and compliance checks into workflows, and document residual risks and mitigations.
• Coach peers on engineering best practices and AI-augmented approaches; partner with Product, Security, DevOps, and other teams to align on features, deployment, and compliance.
• Scout and pilot emerging tools or frameworks (including AI toolchains), integrate automated governance checks into pipelines, and enhance observability and incident response with an eye on productivity, cost, and resilience. 

Required Experience/Skills  

• 5-7 years of professional software engineering in an agile environment, delivering secure, scalable services.
• Understands high-level LLM concepts (e.g., hallucinations, prompt sensitivity) and safe vs. unsafe AI use cases.
• Experienced in using AI tools to accelerate coding, debugging, testing, and prototyping, with critical review of outputs.
• Skilled in prompt engineering—designing reusable prompts and coaching peers.
• Familiar with ethical/cost risks (bias, privacy, vendor lock-in) and embeds basic compliance checks into workflows.
• Proficient in C#, .Net for RESTful APIs (OpenAPI), and hands-on AWS serverless patterns.
• Comfortable with infrastructure as code (CDK/Terraform), containerization (Docker), CI/CD pipelines, and monitoring tools.
• Experience with SQL (PostgreSQL) and/or NoSQL databases; able to design and optimize schemas for performance.
• Applies security best practices in code and deployments (e.g., IAM, secrets management) and reviews AI-assisted suggestions for safety.
• Strong communication of technical and AI-related concepts to diverse stakeholders.
• Proven ability to mentor or guide peers on engineering best practices and AI-augmented workflows.
• Familiarity with Angular to collaborate effectively on end-to-end features.
• Degree in Computer Science/Engineering/related field or equivalent hands-on experience. 

Here’s a summary of the role:   

You’re ready to work at scale — re‑thinking how data is collected, processed and delivered to our customers end‑to‑end. As a Staff Software Engineer working on a  building up a cutting edge data ecosystem, you’ll shape architectures that power feeds, analytics platforms, reports and dashboards used by customers every day. You’ll explore and apply cloud technologies, distributed systems, AI solutions, influencing technical direction while still getting hands‑on with code. This role is for you if you thrive on data pipelines, APIs, cloud‑native services, scalability, performance, and reliability, enjoy technical leadership, and want your engineering decisions to have visible impact from ingestion to insight. 

Here’s a breakdown of what you’ll do (not all of it, just the important stuff): 

• Set technical direction across teams, driving ai-native and cloud‑native architecture and long‑term system evolution 

• Lead design of secure, scalable MCP hosts, and AWS microservices, balancing performance, reliability, and cost 

• Influence AI adoption through AI first solution desing, model guidance, prompt strategy, and built‑in governance and monitoring 

• Shape roadmaps with Product, Security, and DevOps to deliver compliant, high‑impact solutions 

• Evaluate and pilot emerging technologies to boost developer productivity and platform capability 

• Mentor engineers, raising engineering standards and fostering ethical, AI‑aware practices 

These are the essentials you’ll need to get an interview: 

• Deep background in enterprise software design, implementation, and operation (OOP, commercial environments) 

• Extensive hands‑on experience with cloud native architecture and services, ideally on AWS 

• Strong foundation in data driven systems: data acquisition, processing pipelines, and customer facing reporting 

• Proven experience with delivering AI based customer solutions to production 

• Familiarity with modern data transformation tools such as dbt 

• Proven expertise with SQL and NoSQL databases, alongside APIs and microservices at scale 

• Senior engineer mindset: proactive problem solver, comfortable owning outcomes 

• Leading multiple concurrent projects and ensuring strong collaboration with a wide range of stakeholders 

• Passion for continuous improvement—sharing knowledge, refining processes, and raising the bar across teams 

• Curiosity for new tools and patterns, with a pragmatic approach to adopting what works best 

 It would be great if you had these to, but we’ll support you if you don’t: 

• Experience with TypeScript and Python in production, ideally across data‑ and service‑oriented systems 

• Hands‑on experience with PostgreSQL and strong SQL workflows 

• Exposure to cloud data platforms, especially Snowflake, at scale 

• Comfortable working across the full data lifecycle—from ingestion to analytics and reporting 

#LIHybrid

We are looking for a Performance Architect to join our Sportsbook Technology organization and take end‑to‑end ownership of performance as a first‑class architectural concern across our platform.

This role has a strong focus on frontend performance, while also requiring solid understanding of infrastructure, networking, and distributed systems, enabling close collaboration with other Architects, DevOps, and engineering teams.

The Performance Architect will work across current and future Sportsbook initiatives, ensuring that performance, scalability, and responsiveness are built in by design, not treated as an afterthought. Previous Sportsbook or high‑traffic real‑time systems experience is considered a strong advantage.

The Wow

Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.

A taster of what you will be involved with: 

Performance Architecture & Strategy

• Define and own the performance architecture for Sportsbook applications, with a primary focus on frontend performance and customer‑perceived latency.
• Establish and maintain performance‑related non‑functional requirements (NFRs) across web, mobile, and platform layers.
• Work with Product, Engineering, and Architecture to ensure performance goals are aligned with business objectives and customer experience.

Frontend Performance Excellence

• Drive best practices for frontend performance including (but not limited to): 
• Rendering and hydration strategies
• Asset loading, caching, and CDN usage
• Web performance metrics (Core Web Vitals, TTFB, LCP, CLS, INP, etc.)
• Collaborate closely with frontend teams to review designs, implementations, and technical decisions from a performance perspective.
• Partner with Solution Architects, Platform Architects, and DevOps to identify performance bottlenecks across: Infrastructure, Networking, Cloud and Kubernetes environments, APIs and backend dependencies
• Contribute to architectural decisions and roadmaps to ensure long‑term scalability and performance sustainability.

Analysis, Measurement & Improvement

• Define and promote performance measurement standards, tooling, and dashboards.
• Lead performance analysis, load testing, and capacity planning activities together with relevant teams.
• Participate in incident reviews and root cause analysis, ensuring performance learnings are fed back into architecture and design.

Communication & Enablement

• Act as a performance ambassador across the organization.
• Communicate complex performance topics clearly to both technical and non‑technical stakeholders.
• Mentor teams and help raise the overall performance maturity of the Sportsbook organization.

What we are looking for

Technical Skills

• Strong experience with frontend performance engineering in large‑scale, high‑traffic systems.
• Solid understanding of:
  • Web architectures and modern frontend frameworks
  • HTTP, networking fundamentals, caching, and CDNs
  • Cloud infrastructure (preferably AWS) and containerized environments (e.g. Kubernetes)
• Experience designing and reviewing systems with performance, scalability, and resilience in mind.

Architectural & Collaboration Skills

• Proven experience working in architectural or cross‑team technical roles.
• Ability to influence architectural decisions without direct authority.
• Comfortable collaborating with multiple teams and architectural disciplines.

Communication

• Excellent communication skills, both written and verbal.
• Ability to explain performance trade‑offs and recommendations clearly to engineering, product, and non‑technical stakeholders.
• Experience working closely with multiple departments in a complex organization.

Nice to have

• Previous Sportsbook, iGaming, or real‑time betting systems experience.
• Experience with high‑availability, low‑latency platforms operating at scale.
• Hands‑on experience with performance tooling, observability, and load‑testing frameworks.

What we offer

• Work on a mission‑critical, real‑time Sportsbook platform operating at significant scale.
• Shape how performance is designed and delivered across both current systems and future initiatives.
• Collaborate with experienced architects and engineering leaders across multiple domains.
• Make a measurable impact on customer experience and platform quality.
• Fitness-wellness allowance  🧗‍♂️
• Company mobile phone for private use with 100 GB  📱
• Annual HUF devaluation compensation  💡
• Hybrid model: 3 days in the office 🏢  & 2 days from home  🏠
• Private Health Insurance  🩺
• Career development  📈
• Technical and soft-skill training opportunities 🎓
• Breakfast, fruits & lunch 🍎
• Team building events  🥳

Challenge accepted?

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Requirements

LastPass is looking for a Staff Kubernetes Engineer:

As a Staff Kubernetes Engineer, you will have a strong focus on Kubernetes operations to design, build, and maintain cloud-native infrastructure using Infrastructure as Code and following GitOps principles and tooling. You will orchestrate scalable containerized applications, streamline cluster operations while ensuring high availability through automated deployments and observability over our infrastructure.

About the Team:

Our team sits at the core of LastPass’s Platform Engineering cluster, delivering a streamlined platform that reduces complexity and speeds up delivery. We manage the company’s entire Kubernetes environment, operating EKS clusters, overseeing container lifecycle and reliability, and providing developer tooling that enables teams to deploy and scale applications efficiently and securely.

If you are passionate about complex problem solving and motivated by scale, then this is the role for you!

Who will you work with?

You will be part of a dedicated team within LastPass, shaping future infrastructure, enabling seamless application delivery, and driving DevOps best practices across the organization. Leveraging your technical expertise, you will collaborate closely with architecture and security teams to ensure services remain secure, reliable, maintainable, and scalable.

What are some of the exciting challenges you will be working on?

• Own the architecture, design, and evolution of our Kubernetes-based platform on AWS, ensuring scalability, resilience, and operational excellence
• Develop, maintain, and optimize Kubernetes infrastructure using Infrastructure as Code (CDK), enforcing best practices and architectural standards
• Act as the technical guide and domain expert for Kubernetes architecture, collaborating closely with the Architecture team to bridge high-level strategy with implementation and guide engineering teams with clear patterns, reference architectures, and best-practice recommendations
• Lead technical decision-making across multiple teams, providing mentorship, design reviews, and hands-on support to drive platform consistency and quality
• Drive proactive improvements across the platform, identifying scaling issues, reliability gaps, or operational inefficiencies before they become problems
• Design and implement secure, compliant, and highly observable Kubernetes environments, integrating monitoring, logging, and alerting systems
• Lead and support the migration of non-cloud-native applications to the new infrastructure, assessing readiness and implementing best practices for scalability and maintainability
• Champion automation and GitOps practices to reduce manual work, eliminate drift, and improve release velocity
• Lead cross-team initiatives and influence technical direction outside your immediate organization, driving adoption of cloud-native best practices
• Participate in on-call rotations and contribute to incident response and root cause analysis

What does it take to work at LastPass?

• Expertise in Kubernetes cluster architecture and operations, including designing and maintaining multi-node clusters for performance, scalability, and fault tolerance
• Proficiency with service mesh technologies to manage observability, security, and traffic routing, along with experience implementing auto-scaling, optimizing resource utilization, and planning rolling upgrades and disaster recovery scenarios with zero downtime
• Solid knowledge of and experience with AWS and EKS
• Ability to assess application readiness and provide migration strategies for different application types while ensuring minimal disruption during transitions
• Automation mindset with the drive to identify and automate repetitive tasks and manual processes
• Experience with observability tools such as DataDog to ensure high uptime and fast issue resolution
• Strong problem-solving and troubleshooting abilities, with a collaborative, team-oriented approach and a can-do attitude
• Effective communication and collaboration skills across stakeholder groups of varied technical backgrounds, with strong written and verbal English proficiency
• Fluency with AI tools and large language models to support platform engineering, automation, and operational efficiency

It’s great, but not required:

• General familiarity with AI tools and large language models (e.g., Claude by Anthropic, AWS Bedrock)
• Experience with multiple IaC languages (CDK with TypeScript, CloudFormation)
• GitOps practices, including ArgoCD experience
• Multi-cloud experience (AWS required, Azure nice to have)

LastPass is looking for a Staff Kubernetes Engineer:

As a Staff Kubernetes Engineer, you will have a strong focus on Kubernetes operations to design, build, and maintain cloud-native infrastructure using Infrastructure as Code and following GitOps principles and tooling. You will orchestrate scalable containerized applications, streamline cluster operations while ensuring high availability through automated deployments and observability over our infrastructure.

About the Team:

Our team sits at the core of LastPass’s Platform Engineering cluster, delivering a streamlined platform that reduces complexity and speeds up delivery. We manage the company’s entire Kubernetes environment, operating EKS clusters, overseeing container lifecycle and reliability, and providing developer tooling that enables teams to deploy and scale applications efficiently and securely.

If you are passionate about complex problem solving and motivated by scale, then this is the role for you!

Who will you work with?

You will be part of a dedicated team within LastPass, shaping future infrastructure, enabling seamless application delivery, and driving DevOps best practices across the organization. Leveraging your technical expertise, you will collaborate closely with architecture and security teams to ensure services remain secure, reliable, maintainable, and scalable.

What are some of the exciting challenges you will be working on?

• Own the architecture, design, and evolution of our Kubernetes-based platform on AWS, ensuring scalability, resilience, and operational excellence
• Develop, maintain, and optimize Kubernetes infrastructure using Infrastructure as Code (CDK), enforcing best practices and architectural standards
• Act as the technical guide and domain expert for Kubernetes architecture, collaborating closely with the Architecture team to bridge high-level strategy with implementation and guide engineering teams with clear patterns, reference architectures, and best-practice recommendations
• Lead technical decision-making across multiple teams, providing mentorship, design reviews, and hands-on support to drive platform consistency and quality
• Drive proactive improvements across the platform, identifying scaling issues, reliability gaps, or operational inefficiencies before they become problems
• Design and implement secure, compliant, and highly observable Kubernetes environments, integrating monitoring, logging, and alerting systems
• Lead and support the migration of non-cloud-native applications to the new infrastructure, assessing readiness and implementing best practices for scalability and maintainability
• Champion automation and GitOps practices to reduce manual work, eliminate drift, and improve release velocity
• Lead cross-team initiatives and influence technical direction outside your immediate organization, driving adoption of cloud-native best practices
• Participate in on-call rotations and contribute to incident response and root cause analysis

What does it take to work at LastPass?

• Expertise in Kubernetes cluster architecture and operations, including designing and maintaining multi-node clusters for performance, scalability, and fault tolerance
• Proficiency with service mesh technologies to manage observability, security, and traffic routing, along with experience implementing auto-scaling, optimizing resource utilization, and planning rolling upgrades and disaster recovery scenarios with zero downtime
• Solid knowledge of and experience with AWS and EKS
• Ability to assess application readiness and provide migration strategies for different application types while ensuring minimal disruption during transitions
• Automation mindset with the drive to identify and automate repetitive tasks and manual processes
• Experience with observability tools such as DataDog to ensure high uptime and fast issue resolution
• Strong problem-solving and troubleshooting abilities, with a collaborative, team-oriented approach and a can-do attitude
• Effective communication and collaboration skills across stakeholder groups of varied technical backgrounds, with strong written and verbal English proficiency
• Fluency with AI tools and large language models to support platform engineering, automation, and operational efficiency

It’s great, but not required:

• General familiarity with AI tools and large language models (e.g., Claude by Anthropic, AWS Bedrock)
• Experience with multiple IaC languages (CDK with TypeScript, CloudFormation)
• GitOps practices, including ArgoCD experience
• Multi-cloud experience (AWS required, Azure nice to have)

Position Overview  

We are looking for a Staff iOS Software Engineer with strong expertise in native iOS development (Objective-C, Swift) and a solid understanding of backend technologies, to join our Boards Mobile team at the Center for Global Product Innovation in Budapest.  

This role goes beyond traditional mobile engineering: we are seeking someone passionate about leveraging AI-driven technologies, automation, and modern development practices to deliver smarter, more intuitive mobile solutions.  

The ideal candidate thrives in complex technical environments, is highly collaborative, and brings an innovative mindset to solve challenges using both proven software engineering practices and emerging AI-powered approaches.  

Key Responsibilities  

• Take ownership of technical challenges, bringing curiosity and resourcefulness to ambiguous problems.  

• Define and drive the development of complex features ensuring scalability, reliability, and security. 

• Strong product partnership: translating business requirements into clear technical plans, communicating risk/impact crisply. 

• Tackle high-impact problems, producing clear plans, prototypes, and production-ready solutions. 

• Integrate AI and automation where appropriate to improve app functionality, personalization, or developer productivity. 

• Raise the quality bar through rigorous code reviews, observability, and operational excellence. 

• Drive tooling, hosting, DevOps, and quality assurance automation initiatives to improve velocity and reliability. 

• Communicate clearly on strategy, progress, and risks. 

• Mentor senior and mid-level peer engineers. 

• Contribute to high-quality system documentation, operational guidelines, and knowledge sharing. 

Required Experience & Skills  

• 7+ years of professional iOS development with Swift, including modern Swift Concurrency (async/await, actors) and pragmatic UIKit and/or SwiftUI experience. 

• Proven track record shipping and operating at least one large-scale, consumer- or enterprise-grade iOS app, with ownership across design, implementation, release, and post-launch iteration. 

• Experience designing modular architectures (e.g., MVVM/C, Clean, TCA) and evolving legacy codebases safely through migrations. 

• Deep performance and reliability skills: profiling with Instruments, launch-time tuning, memory/leak debugging and network efficiency. 

• Secure mobile development: Keychain, biometrics, secure storage, TLS/ATS, certificate pinning and data-protection best practices. 

• Experience with background tasks, conflict resolution, data modeling, and migration strategies. 

• API and contract design: strong REST/GraphQL/gRPC fundamentals, versioning, pagination, and close collaboration with backend services on auth and performance. 

• Testing at scale: XCTest/XCUITest, snapshot tests, dependency injection for testability, quality gates for CI/CD pipelines. 

• Observability: Logging, crash analytics, dashboards/alerting, and SLO-driven ownership. 

• Build and release engineering: Fastlane/Xcode Cloud/Bitrise, code signing/provisioning, TestFlight, phased rollouts, feature flags, and rollback plans. 
  

#LI-Hybrid

Here’s a summary of the role: 

In this role, you will shape the future of governance, risk, and compliance by leading engineering teams to build the next generation of GRC products that turn compliance from a reactive obligation into a strategic engine for resilience, innovation, and value creation. You will use your technical leadership to drive technical strategy for AI-first, data-driven, and integrated GRC platforms that predict risks, orchestrate intelligent workflows, and provide real-time visibility across cyber, ESG, and operational domains. Drawing on your passion for leveraging AI and automation tools, you will partner closely with product and risk leaders to design agentic and generative AI capabilities that make complex regulatory landscapes manageable and keep organizations both compliant and resilient in a rapidly changing world. At the same time, you’ll be coaching engineers to grow as architects, innovators, and owners - creating a culture where modern engineering practices, ethical governance, and human-centered decision-making are at the heart of every solution you deliver. 

Here’s a breakdown of what you’ll do (not all of it, just the important stuff): 

• Lead and grow multiple agile engineering teams, fostering collaboration, accountability, and an inclusive, high-performing culture. 

• Define and own the technical roadmap with stakeholders, ensuring timely delivery of scalable, maintainable solutions. 

• Champion responsible use of AI and automation, integrating models, APIs, and AI-assisted tools to boost efficiency and product capabilities. 

• Align technical strategy with business goals, representing engineering in cross-functional initiatives and promoting a transparent, impact-driven culture. 

• Mentor and coach engineers at all levels, driving continuous learning, feedback, and career development. 

These are the essentials you’ll need to get an interview: 

• 12+ years of total software development experience 

• 6+ years in a people management or technical leadership role 

• Extensive experience with large-scale distributed systems, cloud computing (AWS), and infrastructure 

• Proven experience with CI/CD, DevOps practices, and agile/scrum methodologies 

• Familiarity with AI concepts and practical use cases in software development 
  
• Experience hiring, mentoring, and fostering team career growth                    

It would be great if you had these to, but we’ll support you if you don’t: 

• Practical experience shaping software architecture, tuning performance, and strengthening application security 

• Familiarity with modern web stacks, ideally including Node.js, React, and TypeScript 

• Exposure to serverless patterns and infrastructure-as-code on AWS, preferably using CDK 

• Background in designing and operating robust data integration workflows 

• Experience working in regulated, audit-heavy environments where evidence, controls, and traceability matter 
  

#LI-Hybrid

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

At Formlabs, software is at the heart of our product development, transforming digital models into beautiful physical forms through the power of 3D printing. The Formlabs Software Team is looking for a Software Engineering Manager to lead our DevOps Team, a critical function dedicated to empowering our engineers with the best tools, infrastructure, and practices to deliver exceptional software.

The DevOps Engineering Team at Formlabs is committed to building and maintaining a unified, efficient, and scalable platform for our engineering operations. Our mission is to enhance productivity, collaboration, and innovation by equipping our software engineers with state-of-the-art tools, infrastructure, and processes to build, test, and deploy software efficiently and effectively..

If you're passionate about building tools and processes that elevate engineering productivity and quality, and if you thrive in a dynamic and innovative environment, we'd love to hear from you. Join us at Formlabs to help us ship products that ship products!

Your Responsibilities:

• Oversee the operation, maintenance, and security of Formlabs’ cloud infrastructure.
• Develop and promote software engineering tools such as build systems, deployment pipelines, and CI/CD frameworks.
• Establish and champion standardized engineering processes across teams.
• Define and implement monitoring, analytics, and reporting for products, engineering tools, and infrastructure.
• Create and maintain technical documentation and provide training for engineers.
• Foster a culture of innovation, continuous improvement, and engineering excellence.

Your Skills & Experience:

• Proven track record of leading engineers in a dynamic, fast-paced environment.
• Deep passion for enabling teams to deliver better software faster.
• Expertise in modern build systems, deployment pipelines, and CI/CD practices.
• Exceptional problem-solving skills with the ability to troubleshoot and resolve complex technical challenges.
• Strong communication and interpersonal skills, with a collaborative mindset and the ability to work effectively with stakeholders across the organization.
• Demonstrated experience driving continuous improvement in engineering tools and processes.
• Proficiency in creating and maintaining clear, concise technical documentation.
• Commitment to fostering a culture of quality, efficiency, and collaboration.
• Ability to adapt to evolving technologies and stay current with industry best practices.

We Offer:

• Hybrid work
• Catered lunch at the office 3 days per week
• Private health insurance with Medicover (Blue package + hospital coverage)
• A monthly or quarterly public transportation pass for Budapest
• Shares in the company (we're a double unicorn company!)
• Free beverages and snacks at the office
• All You Can Move sports pass
• Free 3D prints
• An inclusive, dog-friendly office with diverse and inspiring colleagues
• Development opportunities both in-house and off-site
• Fun team events
  

We build amazing things. Come join us!

We are an equal opportunity employer and value diversity in our company.  We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

Your personal data is processed in accordance with our Privacy Policy. If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at  privacy@formlabs.com.

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Staff Software Engineer to serve as a senior technical leader on the Vantage platform. You will drive the design and delivery of complex, cross-cutting capabilities – spanning document AI pipelines, LLM integrations, compliance infrastructure, analytics, and platform extensibility. Beyond your own code, you will act as a technical multiplier: influencing architectural decisions, setting quality standards, and developing the engineers around you. This is a role for someone who leads through depth, judgment, and impact.

Job Responsibilities:

• Technical Leadership: Drive the technical design and delivery of significant Vantage platform capabilities, from architecture and API contracts through deployment, monitoring, and iteration.
• Quality & Standards: Define and uphold engineering standards for the Vantage codebase – covering code quality, service reliability, performance, security, and compliance – and drive their adoption across teams.
• Strategic Collaboration: Act as a senior technical voice in cross-functional planning with product management, ML engineering, cloud architecture, and engineering leadership; translate business priorities into actionable technical roadmaps.
• Platform Improvement: Lead initiatives to improve Vantage platform health at scale: service decomposition, observability, CI/CD maturity, and developer productivity.
• Operational Excellence: Own high-severity incident response for Vantage cloud services; drive post-mortems and systemic reliability improvements.
• Engineering Mentorship: Mentor Senior and Principal Engineers on the Vantage team; build a culture of technical rigor, shared ownership, and continuous learning.
• Technical Innovation: Evaluate and champion adoption of new technologies – from GenAI model integrations to cloud-native tooling – that strengthen ABBYY's Document AI differentiation.

Job Requirements:

• 10–13 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Strong command of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated ability to mentor Senior and Mid-level Engineers and partner with Engineering Managers on technical direction
• Experience leading technical design reviews and influencing architectural decisions across team and product boundaries

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Track record of delivering production-grade systems that meet enterprise compliance, security, and reliability standards
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Staff Software Engineer to serve as a senior technical leader on the Vantage platform. You will drive the design and delivery of complex, cross-cutting capabilities – spanning document AI pipelines, LLM integrations, compliance infrastructure, analytics, and platform extensibility. Beyond your own code, you will act as a technical multiplier: influencing architectural decisions, setting quality standards, and developing the engineers around you. This is a role for someone who leads through depth, judgment, and impact.

Job Responsibilities:

• Technical Leadership: Drive the technical design and delivery of significant Vantage platform capabilities, from architecture and API contracts through deployment, monitoring, and iteration.
• Quality & Standards: Define and uphold engineering standards for the Vantage codebase – covering code quality, service reliability, performance, security, and compliance – and drive their adoption across teams.
• Strategic Collaboration: Act as a senior technical voice in cross-functional planning with product management, ML engineering, cloud architecture, and engineering leadership; translate business priorities into actionable technical roadmaps.
• Platform Improvement: Lead initiatives to improve Vantage platform health at scale: service decomposition, observability, CI/CD maturity, and developer productivity.
• Operational Excellence: Own high-severity incident response for Vantage cloud services; drive post-mortems and systemic reliability improvements.
• Engineering Mentorship: Mentor Senior and Principal Engineers on the Vantage team; build a culture of technical rigor, shared ownership, and continuous learning.
• Technical Innovation: Evaluate and champion adoption of new technologies – from GenAI model integrations to cloud-native tooling – that strengthen ABBYY's Document AI differentiation.

Job Requirements:

• 10–13 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Strong command of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated ability to mentor Senior and Mid-level Engineers and partner with Engineering Managers on technical direction
• Experience leading technical design reviews and influencing architectural decisions across team and product boundaries

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Track record of delivering production-grade systems that meet enterprise compliance, security, and reliability standards
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

Here are some of our local benefits:

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Senior Software Engineer to join the Vantage engineering team. You will be a hands-on contributor building and evolving the services that power Vantage's document AI capabilities – from OCR pipelines and skill training workflows to API integrations and analytics infrastructure. You bring strong engineering fundamentals, a quality-first mindset, and a drive to deliver reliable, scalable software in a cloud-native environment.

Job Responsibilities:

• End-to-End Development: Design, develop, test, and deploy features and services within the Vantage platform, contributing to areas such as document processing pipelines, AI skill management, cloud infrastructure, and API layers.
• Code Quality: Write clean, maintainable, well-tested code; actively participate in code reviews and champion engineering best practices across your team.
• Cross-Functional Collaboration: Work closely with product managers, UX designers, ML engineers, and fellow software engineers to translate Vantage feature requirements into well-architected solutions.
• Continuous Improvement: Identify and surface improvements to existing Vantage services, tooling, and delivery workflows; contribute to reducing technical debt and increasing engineering velocity.
• System Reliability: Monitor the health and performance of Vantage cloud services; investigate and resolve production incidents in a timely manner.
• Technical Growth: Stay current with advances in Document AI, cloud-native patterns, and GenAI integration approaches that could enhance the Vantage platform.

Job Requirements:

• 5–9 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Good understanding of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated track record of delivering high-quality, testable code
• Strong analytical and debugging skills with the ability to investigate complex issues across distributed systems

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Familiarity with OCR, NLP and computer vision technologies
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Senior Software Engineer to join the Vantage engineering team. You will be a hands-on contributor building and evolving the services that power Vantage's document AI capabilities – from OCR pipelines and skill training workflows to API integrations and analytics infrastructure. You bring strong engineering fundamentals, a quality-first mindset, and a drive to deliver reliable, scalable software in a cloud-native environment.

Job Responsibilities:

• End-to-End Development: Design, develop, test, and deploy features and services within the Vantage platform, contributing to areas such as document processing pipelines, AI skill management, cloud infrastructure, and API layers.
• Code Quality: Write clean, maintainable, well-tested code; actively participate in code reviews and champion engineering best practices across your team.
• Cross-Functional Collaboration: Work closely with product managers, UX designers, ML engineers, and fellow software engineers to translate Vantage feature requirements into well-architected solutions.
• Continuous Improvement: Identify and surface improvements to existing Vantage services, tooling, and delivery workflows; contribute to reducing technical debt and increasing engineering velocity.
• System Reliability: Monitor the health and performance of Vantage cloud services; investigate and resolve production incidents in a timely manner.
• Technical Growth: Stay current with advances in Document AI, cloud-native patterns, and GenAI integration approaches that could enhance the Vantage platform.

Job Requirements:

• 5–9 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Good understanding of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated track record of delivering high-quality, testable code
• Strong analytical and debugging skills with the ability to investigate complex issues across distributed systems

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Familiarity with OCR, NLP and computer vision technologies
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

Here are some of our local benefits:

Position Overview 

Spend your days making a difference, not just working for a living. We do that by creating Security, Risk management, Compliance, and audit software that uncovers fraud, waste, environmental risk, and abuse in their organizations. Our collaborative R&D teams use Serverless AWS technologies to build our SaaS platform and tackle strategic business challenges, creating highly impactful solutions for today and for our future to support Modern Governance.  

The ideal candidate will have proven ability to apply effective analysis, design, programming, and testing skills to produce and maintain scaled SaaS software solutions. You will work as part of an established team who are used to working together to achieve excellent results. You'll have the chance to take ownership of the features you're working on, actively suggest improvements to how we design and build software, and support more junior team members by sharing your knowledge and helping the team grow and perform even better over time.

 
Key Responsibilities 

• Design, code, review, and test assigned features and user stories in alignment with Diligent’s agile development methodology, leveraging AI tools where appropriate to enhance development efficiency. 

• Produce high-level technical design artifacts for major stories, incorporating insights and optimizations informed. 

• Influence the future architecture of the product by defining and refining major components and sub-systems, including the delivery of back-end prototypes—potentially accelerating prototyping with AI-based development tools. 

• Collaborate effectively with other development teams, production operations, and cross-functional technology groups to ensure smooth, regular delivery of high-quality software, to streamline communication and task coordination. 

• Ensure all work is completed and documented according to required standards, methods, and procedures, while adopting AI tools to enhance knowledge sharing and documentation efficiency. 

• Manage personal workflow and task prioritization to meet deadlines, to support time management and productivity tracking. 

• Serve as the technical owner of Epics, including complex initiatives that span multiple workstreams, in breaking down and organizing work. 

• Lead technical architecture and implementation of platform-level initiatives, exploring AI-driven design tools where beneficial. 

• Demonstrate reliability in handling complex tasks with minimal supervision while knowing when to delegate effectively; ensure completion of work with end-to-end ownership, supported by intelligent task management tools. 
• Actively participate in continuous process improvement by identifying opportunities and proposing enhancements during retrospectives—encouraging and applying AI-driven insights to refine team workflows. 

Required Experience/Skills

• Strong experience in a hands-on development role at a commercial software company 

• Demonstrable experience of devising and delivering changes to large/complex products 

• Excellent understanding one of (or all) our technologies: NodeJS, TypeScript, React
  
  
• Experience in API and web development 

• Problem-solver attitude - Technology agnostic approach  

• Experience of designing and delivering security solutions in an environment that embraces DevOps and IaC concepts and common technologies, with a focus on pipeline security automation (DevSecOps) 

• Experience with Microservices architecture 

• Commitment to producing well tested and documented code 

• Good understanding of RESTFul Services 

• Strong code review, mentoring and refactoring skills 

• Creative and innovative problem-solving skills 

• Experience working on an agile team, providing estimates and reporting progress 

• Able to communicate effectively with technical and non-technical teams 

• Keen to improve processes and share knowledge across the team 

• Familiarity with Source Code Control Systems (esp Git, GitHub) and common branching models such as GitFlow 

• Be passionate about delivering value to our customers 

• Good mentoring skills  

• Experience using AI-powered tools (e.g., for code generation, static analysis, or testing) to enhance development speed and reduce manual effort is a plus. 

#LI-Hybrid

Position Overview

Lead the Future of GRC (Governance Risk & Compliance) Technology!

We’re looking for a strategic technical leader with a track record of building great teams, delivering scalable systems, and transforming engineering organizations. If you thrive in complex problem spaces, love building world-class platforms, and want to play a key role in our AI-native transformation, we want to talk to you. 

Key Responsibilities

• Build high-performing, AI-enabled teams that deliver real value fast—especially within our Budapest Global Center for Product Innovation
• Lead engineering for one or more of our strategic products, driving design, delivery, and quality across multiple agile teams
• Architect for the future: Define technical strategy, system architecture, and integration of AI/ML-powered components
• Champion engineering best practices—from design and security reviews to continuous delivery and reliability
• Infuse AI into the product: Identify, prioritize, and implement opportunities for machine learning, NLP, and intelligent automation
• Be a cultural builder: Create a space for innovation, ownership, and continuous learning
• Partner across disciplines—Product, Design, Data Science—to deliver high-impact outcomes
• Ensure ethical, secure, and privacy-conscious implementation of AI and data capabilities
• Inspire through leadership: Mobilize the team in moments that matter, from solving critical customer issues to celebrating key wins
• Contribute to company-wide strategy and help shape the future of Diligent's global technology organization 

Requiered Experiences/Skills

• 7+ years of engineering leadership experience, including multiple years building SaaS products
• A strong track record of scaling products and teams, especially in fast-moving, innovative companies
• Passion for mentoring engineering leaders and building inclusive, high-performance cultures
• Deep familiarity with modern cloud-native architecture
• Experience with AI/ML platforms and integrating AI into customer-facing products
• Understanding of AI ethics, data governance, and responsible AI principles
• Proven success in leading agile delivery at scale and fostering DevOps/SRE mindsets
• Sharp business instincts, with the ability to collaborate cross-functionally and drive product strategy
• Excellent communication and influence skills at executive and organizational levels 

#LI-Hybrid

Position overview:

We’re looking for a Software Engineering Manager who blends technical depth with product intuition — someone who doesn’t just deliver features, but cares deeply about how they work, feel, and perform. 

You’ll lead a cross-functional engineering team modernizing one of the world’s most trusted governance, risk, and compliance platforms as we move forward to the direction of the AI native software development. 

This is not a pure “people manager” or “ticket shepherd” role. We’re looking for someone who: 

• Enjoys getting close to the product, collaborating daily with Product and UX to craft exceptional user experiences. 

• Brings a QA mindset — cares about stability, edge cases, and how things actually behave in users’ hands. 

• Thrives in uncertainty and isn’t afraid to explore new paths or challenge assumptions. 

• Wants to lead by example and elevate the team — technically, culturally, and strategically. 

Key Responsibilities 

• Lead and grow a cross-functional engineering team, combining developers and QA engineers into a high-performing unit with shared accountability for quality and delivery. 

• Collaborate closely with Product Managers and Designers to shape features from ideation to delivery — focusing on usability, performance, and customer value. 

• Raise the engineering bar through thoughtful code reviews, mentoring, and continuous improvement practices. 

• Drive technical direction: influence architecture, cloud strategy, observability, and test automation approaches. 

• Cultivate quality ownership: partner with QA to evolve testing frameworks, increase automation coverage, and make quality everyone’s responsibility. 

• Leverage AI and automation to remove friction from development, testing, and operations — identifying opportunities for intelligent tooling and integration. 

• Champion responsible AI practices, ensuring transparency, explainability, and control in every AI-assisted capability. 

• Foster a culture of curiosity and experimentation — encouraging engineers to prototype, measure, and iterate rapidly. 
• Contribute hands-on when needed (code reviews, architecture discussions, proof-of-concepts) while empowering your team to own their solutions. 

What You’ll Bring 

• 7+ years of professional software engineering experience, including 3+ years in a people management role. 

• A solid technical foundation — comfortable discussing system design, code quality, and architectural trade-offs. 

• A product-focused mindset — you think in terms of user impact and aren’t satisfied until the experience feels right. 

• Strong experience leading teams in agile environments, balancing delivery speed with technical quality. 

• Experience with modern development practices: CI/CD, trunk-based development, infrastructure-as-code, etc. 

• Understanding of QA practices and automation, and an appreciation for testing as a first-class citizen in software development. 

• Familiarity with AI/ML concepts and curiosity about practical applications (you don’t need to be a data scientist, but you should know what’s possible). 

• Excellent communication skills — you can translate between product, design, and engineering worlds effortlessly. 

Preferred Experience 

• Hands-on background in .NET, Angular, Python or Node.js 

• Experience with Cloud (AWS/Azure/GCP), CICD, DevOps, SQL/NoSQL databases 

• Use of AI-assisted developer tools such as Copilot, CodeWhisperer, or automated code review systems. 

• Track record of shipping high-quality, user-centered products. 

• A natural drive to push boundaries, learn fast, and make others better around you. 

#LI-Hybrid

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

At Formlabs, software is at the heart of our product development, transforming digital models into beautiful physical forms through the power of 3D printing. The Formlabs Software Team is looking for a Software Engineering Manager to lead our DevOps Team, a critical function dedicated to empowering our engineers with the best tools, infrastructure, and practices to deliver exceptional software.

The DevOps Engineering Team at Formlabs is committed to building and maintaining a unified, efficient, and scalable platform for our engineering operations. Our mission is to enhance productivity, collaboration, and innovation by equipping our software engineers with state-of-the-art tools, infrastructure, and processes to build, test, and deploy software efficiently and effectively..

If you're passionate about building tools and processes that elevate engineering productivity and quality, and if you thrive in a dynamic and innovative environment, we'd love to hear from you. Join us at Formlabs to help us ship products that ship products!

Your Responsibilities:

• Oversee the operation, maintenance, and security of Formlabs’ cloud infrastructure.
• Develop and promote software engineering tools such as build systems, deployment pipelines, and CI/CD frameworks.
• Establish and champion standardized engineering processes across teams.
• Define and implement monitoring, analytics, and reporting for products, engineering tools, and infrastructure.
• Create and maintain technical documentation and provide training for engineers.
• Foster a culture of innovation, continuous improvement, and engineering excellence.

Your Skills & Experience:

• Proven track record of leading engineers in a dynamic, fast-paced environment.
• Deep passion for enabling teams to deliver better software faster.
• Expertise in modern build systems, deployment pipelines, and CI/CD practices.
• Exceptional problem-solving skills with the ability to troubleshoot and resolve complex technical challenges.
• Strong communication and interpersonal skills, with a collaborative mindset and the ability to work effectively with stakeholders across the organization.
• Demonstrated experience driving continuous improvement in engineering tools and processes.
• Proficiency in creating and maintaining clear, concise technical documentation.
• Commitment to fostering a culture of quality, efficiency, and collaboration.
• Ability to adapt to evolving technologies and stay current with industry best practices.

We Offer:

• Hybrid work
• Catered lunch at the office 3 days per week
• Private health insurance with Medicover (Blue package + hospital coverage)
• A monthly or quarterly public transportation pass for Budapest
• Shares in the company (we're a double unicorn company!)
• Free beverages and snacks at the office
• All You Can Move sports pass
• Free 3D prints
• An inclusive, dog-friendly office with diverse and inspiring colleagues
• Development opportunities both in-house and off-site
• Fun team events
  

We build amazing things. Come join us!

We are an equal opportunity employer and value diversity in our company.  We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

Your personal data is processed in accordance with our Privacy Policy. If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at  privacy@formlabs.com.

LastPass is looking for a Staff Cloud Security Engineer:

In this role, you will collaborate closely with our DevOps, CI/CD engineers, and Architecture team to implement and maintain security best practices across our infrastructure.

About the Team:

If you are passionate about complex problem solving and motivated by scale, then this is the role for you!

Who will you work with?

What are some of the exciting challenges you will be working on?

What does it take to work at LastPass?

It's great, but not required:

LastPass is looking for a Staff Cloud Security Engineer:

In this role, you will collaborate closely with our DevOps, CI/CD engineers, and Architecture team to implement and maintain security best practices across our infrastructure.

About the Team:

If you are passionate about complex problem solving and motivated by scale, then this is the role for you!

Who will you work with?

What are some of the exciting challenges you will be working on?

What does it take to work at LastPass?

It's great, but not required:

LastPass is looking for a Staff Cloud Security Engineer:

In this role, you will collaborate closely with our DevOps, CI/CD engineers, and Architecture team to implement and maintain security best practices across our infrastructure.

About the Team:

If you are passionate about complex problem solving and motivated by scale, then this is the role for you!

Who will you work with?

What are some of the exciting challenges you will be working on?

What does it take to work at LastPass?

It's great, but not required:

LastPass is looking for a Staff Cloud Security Engineer:

In this role, you will collaborate closely with our DevOps, CI/CD engineers, and Architecture team to implement and maintain security best practices across our infrastructure.

About the Team:

If you are passionate about complex problem solving and motivated by scale, then this is the role for you!

Who will you work with?

What are some of the exciting challenges you will be working on?

What does it take to work at LastPass?

It's great, but not required:

This role is located in Budapest, Hungary - We are a hybrid work environment and are in the office 3+ days/per week.

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip’s cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage’s Top Workplaces USA, and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work.”

About You:

• You are an engineer at heart who finds joy in building the software that other software runs on
• You believe that a platform should be a set of robust, resilient, and intuitive libraries, not just a collection of scripts
• You are excited about software design patterns and know when they are helping or getting in the way

What skills do I need? 

• 7+ years of software engineering experience, building complex backend solutions in a SaaS environment
• Expert skills in at least one of Node.js, Typescript, or Go
• Proficiency in relational and nonrelational databases
• Strong understanding of cloud native or cloud hybrid solutions
• Excellent written and verbal communication skills

Nice to haves

• Familiarity with our other parts of our tech stack - including React, Typescript, Golang, RabbitMQ, MongoDB, Postgres, AWS
• Prior experience developing tools to improve the developer experience 
• Experience building CI/CD pipelines
• Previous experience mentoring junior engineers

Key Responsibilities:

• Write and maintain clean, high-quality, efficient and well tested code that aligns with project specifications
• Architect and implement key abstractions that bridge the gap between Software Engineering and DevOps
• Proactively identify pain points in the platform and propose elegant solutions
• Collaborate with Product and Engineering counterparts to build robust and reliable tooling
• Develop and maintain thorough technical documentation for our platform

Key Collaborators:

• Engineering
• DevOps
• Product Management

Working At Tulip

We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered. 

We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:

• Direct impact on product and culture
• Private Healthcare insurance 
• Company equity
• Virtual company events and happy hours
• Flexible work schedule and unlimited vacation policy
• Team Lunches in KFT Hub and office snacks
• Learning & Development benefits 
• HU Eyeglass Benefit
• An inclusive, dog-friendly office with diverse and inspiring colleagues

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations. 

Position Overview:  

As a Staff Software Engineer at Diligent, you’ll create robust, scalable, and secure microservices that power our SaaS platform for governance. You’ll leverage AWS (serverless or migrations) with TypeScript, own services end-to-end (code, deployment, monitoring), drive architecture discussions, and regularly demo to the department. A critical part of this role is shaping our AI strategy: you’ll lead design decisions, embed AI responsibly into systems, and mentor teams on AI capabilities, safety, and governance. 

Key Responsibilities: 

• Champion the design and delivery of secure, high-performance microservices on AWS, driving architecture decisions and empowering team members through mentorship.
• Set technical direction across multiple teams, spotting system pain points and proposing improvements.
• Pioneer AI-driven solutions by advising on model capabilities, crafting effective prompt strategies, and embedding governance and monitoring into development workflows.
• Partner with Product, Security, and DevOps to shape technical roadmaps, ensure compliance, and seamlessly integrate AI features that deliver real business value.
• Continuously elevate our toolkit by evaluating and piloting cutting-edge technologies (including AI toolchains), optimizing for performance, cost efficiency, and developer productivity.
• Own projects end-to-end—from ideation and prototyping to deployment, monitoring, and iteration—ensuring resilient, maintainable systems and top-notch code quality.
• Mentor engineers in best practices and AI-augmented workflows, fostering a culture of experimentation, learning, and ethical AI adoption.
• Stay ahead of emerging AI trends and regulations, proactively adapting designs and practices to meet evolving standards and steer future innovation. 

Required Experience/Skills  

• 7–10 years delivering secure, scalable applications in agile environments.
• Understanding of model architectures (e.g., transformer vs. retrieval-augmented), bias and safety concerns, prompt engineering, and proven experience shaping AI strategy and mentoring teams on responsible AI use. Ability to architect AI systems with embedded monitoring and governance.
• Design and review scalable, high-performance system architectures, APIs, and data models, while writing high-quality, testable code in Node.js, React, and TypeScript/JavaScript, including reusable libraries and frameworks.
• Lead end-to-end DevOps and platform engineering, including CI/CD pipeline design with strong guardrails, infrastructure-as-code and modern deployment strategies, cloud observability and incident response, and cost-aware architecture and capacity planning across AWS, Azure, and GCP
• Integrates security best practices (IAM, secrets management) into all work, including AI components, and embeds bias/privacy checks in delivery pipelines.
• Strong communication of technical and AI-related concepts to diverse stakeholders; proven ability to lead projects, influence engineering culture, and mentor peers in AI-augmented workflows.
• Degree in Computer Science, Engineering, Mathematics, or equivalent experience.