Software Engineer (Backend), Enterprise

Scale AI · Budapest, Hungary

Enterprise Engineering Budapest, Hungary Posted May 8, 2026

At Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale.

We’re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you’ll build the core infrastructure that powers AI products for some of the world’s largest enterprises—designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance.

This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.

At Scale, we don’t just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.

You Will:

Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure.
Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.
Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.
Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.
Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments.
Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.
Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready.

Ideally, You Have:

4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability.
Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.
Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.
Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications.
Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production.
Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments.
Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments.

Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Sr. Staff Full Stack Software Engineer – Infrastructure Platforms

Brandwatch · Remote - Hungary; Sofia, Bulgaria

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710 - Software Product Engr Sofia, Bulgaria Budapest, Hungary Posted May 7, 2026

At Cision, we believe in empowering every individual to make an impact. Here, your voice is heard, your ideas are valued, and your unique perspective fuels our collective success. As part of our global team, you'll thrive in an environment that champions curiosity, collaboration, and innovation, all while making meaningful contributions to the brands we accelerate.

Join us in shaping the future of communication and building authentic connections that matter. Whether you're solving complex problems or driving bold innovations, your growth is our success, and together, we’ll create the conversations of tomorrow.

Empower your impact at Cision. Be seen, be understood, be you.

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.

As a global leader in PR, marketing and social media management technology and intelligence, Cision helps brands and organizations to identify, connect and engage with customers and stakeholders to drive business results. PR Newswire, a network of over 1.1 billion influencers, in-depth monitoring, analytics and its Brandwatch and Falcon.io social media platforms headline a premier suite of solutions. Cision has offices in 24 countries throughout the Americas, EMEA and APAC. For more information about Cision's award-winning solutions, including its next-gen Cision Communications Cloud®, visit www.cision.com and follow @Cision on Twitter.

Cision is committed to fostering an inclusive environment where all employees can be their authentic selves and perform at their best. We believe diversity, equity, and inclusion is vital to driving our culture, sparking innovation and achieving long-term success. Cision is proud to have joined more than 600 companies in signing the CEO Action for Diversity & Inclusion™ pledge and named a “Top Diversity Employer” for 2021 by DiversityJobs.com.

Cision is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or other protected statuses.

Cision is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Cision will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact hr.support@cision.com

Please review our Global Candidate Data Privacy Statement to learn about Cision’s commitment to protecting personal data collected during the hiring process.

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Sr. Staff Full Stack Software Engineer – Infrastructure Platforms

Cision · Remote - Hungary; Sofia, Bulgaria