PostgreSQL Jobs in Hungary.
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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.
Ready to apply?
Apply to Scale AI
Staff DevOps Engineer
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What you’ll do
- Lead the design, implementation, and ongoing improvement of reliable, scalable, performant, and secure production platforms and services.
- Work closely with cross-functional teams to build and maintain resilient infrastructure and deployment patterns.
- Provide technical leadership and mentorship to engineers across the organisation, promoting strong engineering standards and operational best practice.
- Participate in a 24x7 on-call rotation to support critical services and ensure platform availability.
- Drive standardisation, automation, and documentation to improve consistency, reduce operational overhead, and support knowledge sharing.
- Contribute across the full lifecycle of platform and service delivery, from design and build through to operation and optimisation.
Essential skills and experience
- 5+ years of experience in DevOps, SRE, platform engineering, or software engineering roles.
- Strong Kubernetes experience at scale, with deep understanding of containers and container orchestration.
- Hands-on experience with infrastructure as code tools such as Terraform, Ansible, or Puppet.
- Strong programming skills in at least one object-oriented language, along with effective scripting and automation capability.
- Strong understanding of security principles and best practices across infrastructure, platforms, and services.
- Significant hands-on experience in at least one major cloud platform, with broad exposure across AWS, GCP, or OCI.
- Strong monitoring, alerting, and observability experience using tools such as Prometheus, Grafana, or similar platforms.
- Solid understanding of networking fundamentals and distributed systems.
- Strong Linux and/or Windows systems administration experience.
- Experience with software delivery automation, CI/CD pipelines, and secure SDLC practices, including exposure to static and dynamic security testing.
- Good understanding of SRE concepts such as SLIs, SLOs, SLAs, toil reduction, availability, and observability.
- Experience managing and scaling Elasticsearch in production is strongly preferred.
Preferred skills
- Kafka
- MySQL and/or PostgreSQL
- Redis
- Networking
Ready to apply?
Apply to Brandwatch
DevOps Engineer
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What you’ll do
- Design, implement, and improve reliable, scalable, performant, and secure production platforms and services.
- Work closely with cross-functional teams to build and maintain resilient infrastructure and deployment patterns.
- Support and guide engineers across the organisation, promoting strong engineering standards and operational best practice.
- Participate in a 24x7 on-call rotation to support critical services and ensure platform availability.
- Drive standardisation, automation, and documentation to improve consistency, reduce operational overhead, and support knowledge sharing.
- Contribute across the full lifecycle of platform and service delivery, from design and build through to operation and optimisation.
Essential skills and experience
- 3+ years of experience in DevOps, SRE, platform engineering, or software engineering roles.
- Strong Kubernetes experience, with a solid understanding of containers and container orchestration.
- Hands-on experience with infrastructure as code tools such as Terraform, Ansible, or Puppet.
- Programming skills in at least one object-oriented language, along with scripting and automation capability.
- Good understanding of security principles and best practices across infrastructure, platforms, and services.
- Hands-on experience in one or more major cloud platforms, with exposure to AWS, GCP, or OCI.
- Monitoring, alerting, and observability experience using tools such as Prometheus, Grafana, or similar platforms.
- Solid understanding of networking fundamentals and distributed systems.
- Strong Linux and/or Windows systems administration experience.
- Experience with software delivery automation, CI/CD pipelines, and secure SDLC practices, including exposure to static and dynamic security testing.
- Good understanding of SRE concepts such as SLIs, SLOs, SLAs, toil reduction, availability, and observability.
- Experience managing and supporting Elasticsearch in production is beneficial.
Kafka
MySQL and/or PostgreSQL
Redis
Networking
- Additional Premium Health insurance
- Life Insurance
- Food vouchers equal to 70 Euro per month
- Holiday: 25 days vacation and 4 Wellness day per year
- Flexible benefits (Re:benefits)
- Full Calm subscription
- 24/7 Employment Assistance Program
Ready to apply?
Apply to Brandwatch
Senior Java Engineer - Integrations & Marketplace team
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Brandwatch is looking for a new member for the Integrations & Marketplace team. You will be part of a cross-functional, autonomous team responsible for delivering new integrations across our product suite.
As a Senior Backend Engineer in Brandwatch, you will be responsible for developing high-quality code that can improve current solutions, or provide new functionality to our customers. You will be part of the entire journey that brings a feature from a discovery state to delivery on production.
In this role, you will:
- Improve and maintain the backend stack of our Marketplace and current Integrations while contributing ideas and feedback to the rest of your backend colleagues.
- Uphold a high-quality standard in the backend stack in collaboration with other teams.
- Deliver well-tested and scalable solutions.
- Act as a sparring partner to various members of the team.
- Proactively share and debate best practices with your peers.
We are looking for people with:
- A solid understanding of APIs and contracts.
- Familiarity with micro-services.
- Intimate knowledge of the Spring Framework and the Spring ecosystem (although other similar frameworks are also fine).
- Experience of highly distributed, event-driven systems.
- A record of coaching & mentoring other team members.
- A willingness and aptitude to influence the technical, architectural direction of our product.
- A working knowledge of Apache Kafka and PostgreSQL.
- Experience in building and debugging complex systems.
- A proficiency with Docker and Kubernetes.
- An ability to write concise, to the point and idiomatic code in Java.
- Knowledge of unit testing frameworks and end-to-end testing.
- Excellent skills in communication and teamwork.
- Familiarity of Agile and the associated methodologies and tooling.
- A willingness to contribute to team reflection and improvement.
- An ability to adapt to change, be resourceful and share knowledge with the rest of the team.
- Good fluency in English.
What we offer:
- Friendly and welcoming environment focused on people, learning & development
- 25 vacation days and extra vacation days after age and after children
- Cafeteria benefit via SZEP card
- Medicover private health insurance for employees and their family members
- 10% of your time to work on anything you like, reading groups, tech talks
- Flexible working and working from home
- An extensive people development program, including access to Udemy
Ready to apply?
Apply to Brandwatch
Sr. Staff Full Stack Software Engineer – Infrastructure Platforms
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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.
Ready to apply?
Apply to Brandwatch
We’re looking for a skilled JavaScript/TypeScript Engineer to join Brandwatch’s Listen team. You’ll help build and evolve a data-rich, customizable web application embedded within our partners’ platforms, enabling “light social listening” capabilities.
This product allows partners to understand, explore, and engage with their customers across social media through actionable digital consumer insights.
You’ll work within a cross-functional, autonomous team, collaborating closely with product managers, designers, and backend engineers to deliver high-quality features end-to-end.
What You’ll Do
- Build and maintain scalable frontend features using React and TypeScript
- Develop responsive, high-quality UI components following modern React best practices
- Manage application state and async data flows using Redux Toolkit and React Query
- Integrate with backend APIs, handling loading, error, and authentication states effectively
- Monitor and improve frontend performance
- Troubleshoot, debug, and resolve production issues
- Write and maintain automated tests using Vitest and React Testing Library
- Participate in code reviews and contribute to engineering standards and best practices
- Collaborate with cross-functional teams to refine requirements and deliver features
Must-Have Skills
- Solid experience building applications with React and TypeScript
- Strong understanding of JavaScript, HTML, and CSS
- Experience with state management and async data handling (Redux Toolkit, React Query)
- Proven experience integrating with REST APIs
- Familiarity with modern frontend tooling (Vite, ESLint, Prettier, Git)
- Testing experience with Vitest/Jest and React Testing Library
- Experience with component libraries (e.g. MUI) and modern styling approaches (CSS-in-JS)
- Strong debugging and problem-solving skills
- Good communication and collaboration skills
Nice to Have
- Experience with Node.js and Express
- Familiarity with PostgreSQL
- Experience with data visualization libraries (e.g. Recharts, D3)
- Internationalization experience (e.g. i18next)
- Experience with Storybook for component development and documentation
- Understanding of frontend performance optimization techniques
What Success Looks Like
- Delivers well-scoped features independently with minimal rework
- Writes reliable, maintainable tests for new and existing functionality
- Proactively identifies risks and communicates clearly
- Contributes positively to team collaboration and engineering culture
Please note that this position is only available to candidates who are currently residing in Hungary. Unfortunately, we are unable to consider applicants outside of the country.
Ready to apply?
Apply to Cision
What you’ll do
- Lead the design, implementation, and ongoing improvement of reliable, scalable, performant, and secure production platforms and services.
- Work closely with cross-functional teams to build and maintain resilient infrastructure and deployment patterns.
- Provide technical leadership and mentorship to engineers across the organisation, promoting strong engineering standards and operational best practice.
- Participate in a 24x7 on-call rotation to support critical services and ensure platform availability.
- Drive standardisation, automation, and documentation to improve consistency, reduce operational overhead, and support knowledge sharing.
- Contribute across the full lifecycle of platform and service delivery, from design and build through to operation and optimisation.
Essential skills and experience
- 5+ years of experience in DevOps, SRE, platform engineering, or software engineering roles.
- Strong Kubernetes experience at scale, with deep understanding of containers and container orchestration.
- Hands-on experience with infrastructure as code tools such as Terraform, Ansible, or Puppet.
- Strong programming skills in at least one object-oriented language, along with effective scripting and automation capability.
- Strong understanding of security principles and best practices across infrastructure, platforms, and services.
- Significant hands-on experience in at least one major cloud platform, with broad exposure across AWS, GCP, or OCI.
- Strong monitoring, alerting, and observability experience using tools such as Prometheus, Grafana, or similar platforms.
- Solid understanding of networking fundamentals and distributed systems.
- Strong Linux and/or Windows systems administration experience.
- Experience with software delivery automation, CI/CD pipelines, and secure SDLC practices, including exposure to static and dynamic security testing.
- Good understanding of SRE concepts such as SLIs, SLOs, SLAs, toil reduction, availability, and observability.
- Experience managing and scaling Elasticsearch in production is strongly preferred.
Preferred skills
- Kafka
- MySQL and/or PostgreSQL
- Redis
- Networking
Ready to apply?
Apply to Cision
Sr. Staff Full Stack Software Engineer – Infrastructure Platforms
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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.
Ready to apply?
Apply to Cision
What you’ll do
- Design, implement, and improve reliable, scalable, performant, and secure production platforms and services.
- Work closely with cross-functional teams to build and maintain resilient infrastructure and deployment patterns.
- Support and guide engineers across the organisation, promoting strong engineering standards and operational best practice.
- Participate in a 24x7 on-call rotation to support critical services and ensure platform availability.
- Drive standardisation, automation, and documentation to improve consistency, reduce operational overhead, and support knowledge sharing.
- Contribute across the full lifecycle of platform and service delivery, from design and build through to operation and optimisation.
Essential skills and experience
- 3+ years of experience in DevOps, SRE, platform engineering, or software engineering roles.
- Strong Kubernetes experience, with a solid understanding of containers and container orchestration.
- Hands-on experience with infrastructure as code tools such as Terraform, Ansible, or Puppet.
- Programming skills in at least one object-oriented language, along with scripting and automation capability.
- Good understanding of security principles and best practices across infrastructure, platforms, and services.
- Hands-on experience in one or more major cloud platforms, with exposure to AWS, GCP, or OCI.
- Monitoring, alerting, and observability experience using tools such as Prometheus, Grafana, or similar platforms.
- Solid understanding of networking fundamentals and distributed systems.
- Strong Linux and/or Windows systems administration experience.
- Experience with software delivery automation, CI/CD pipelines, and secure SDLC practices, including exposure to static and dynamic security testing.
- Good understanding of SRE concepts such as SLIs, SLOs, SLAs, toil reduction, availability, and observability.
- Experience managing and supporting Elasticsearch in production is beneficial.
Kafka
MySQL and/or PostgreSQL
Redis
Networking
- Additional Premium Health insurance
- Life Insurance
- Food vouchers equal to 70 Euro per month
- Holiday: 25 days vacation and 4 Wellness day per year
- Flexible benefits (Re:benefits)
- Full Calm subscription
- 24/7 Employment Assistance Program
Ready to apply?
Apply to Cision
Senior Full Stack Engineer, People Apps
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About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
The Senior Software Engineer, People Apps is a key member of the IT-Automations team at Wolt. This role involves working closely with various IT functions and stakeholder organizations within the company to develop and maintain automation solutions that enhance the employee experience. You will be part of a team of highly skilled engineers and developers dedicated to preemptively identifying and addressing the needs of over 10,000+ employees worldwide.
What You’ll Be Doing
- Design, develop, and deploy services and applications related to automated employee lifecycle management.
- Maintain and develop Wolt’s custom-built automation engine and internally directed full-stack applications.
- Collaborate with various stakeholder groups to provide automated solutions that assist in their day-to-day tasks.
- Prepare instructions and documentation for the developed applications.
- Maintain and improve existing codebases.
- Proactively identify and resolve potential needs for our employees.
- Work closely with other IT functions to help maintain a world-class employee experience.
Our Humble Expectations
- Strong technical knowledge of Python, Flask, FastAPI, React, Vue.js, Pytest, and PostgreSQL (and other data storage).
- Strong interest and relevant experience in software engineering and automation.
- Someone who keeps up with automation trends and tries out new technology
- Professional communication skills and fluency in English.
- A quick thinker who rolls up their sleeves and always finds solutions.
- Willingness to travel if needed.
Tech Stack
- Languages & Frameworks: Python, Flask, FastAPI, Vue.js, React.
- Infrastructure & Tools: Kubernetes, Terraform, AWS.
- Testing: Pytest.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Ready to apply?
Apply to Wolt - English
Senior Software Engineer
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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
Ready to apply?
Apply to Cast AI
Senior Software Engineer (.Net and AWS)
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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.
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation
Staff Software Engineer (Data & AWS)
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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
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation
Senior Software Engineer (Python and AWS)
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As a Senior Software Engineer at Diligent:
You build things that scale - and you don’t stop at “it works.”
You design clean, reliable backend systems, shape architecture decisions, and turn data into something powerful using AI/ML.
If you’re a Python-focused engineer who’s comfortable with cloud-native development, data pipelines, and solving real - world performance challenges, this is your space. You’ll be hands - on with modern tech (AWS, SQL/NoSQL, IaC), working in Agile teams where your ideas influence both the codebase and the product. If terms like scalability, distributed systems, APIs, data processing, and machine learning actually mean something in your day-to-day - you’ll feel at home here.
Here’s a breakdown of what you’ll do (not all of it, just the important stuff):
- Design, implement, review, and test features in an Agile environment
- Contribute to system architecture and shape the future-state design of the platform
- Build and optimize scalable data processing solutions
- Develop and integrate AI/ML capabilities into data workflows
- Prototype and validate backend approaches when needed
- Collaborate with Product Managers and Engineering Managers to refine requirements and user stories
- Ensure reliability, scalability, and cost-efficiency of solutions
- Work closely with cross-functional teams to ensure smooth delivery to production
- Follow and promote best practices in code quality and testing
These are the essentials you’ll need to get an interview:
- 5+ years’ experience in a hands-on development role at a commercial software company
- Strong experience with Python and common libs
- Experience with SQL and NoSQL databases, preferably PostgreSQL and ElasticSearch
- Solid experience with cloud native development (preferably AWS)
- Hands-on experience with Infrastructure as Code using Terraform or AWS CDK (TypeScript)
- Problem-solver attitude - Technology agnostic approach
- Good written and oral communications
- Solid troubleshooting ability and skills
- Ability to contribute to the effectiveness of a high-performing agile team, and to the product innovation.
- Successfully manage own workload, and take personal responsibility and ownership for delivery, behaviors, and self-improvement
- Keen to improve processes and share knowledge across the team.
It would be great if you had these to, but we’ll support you if you don’t:
- Experience with system design and scalable distributed systems
- Proven experience building and maintaining data pipelines
- Experience with Apache Spark and/or Apache Airflow
- Familiarity with AI/ML models and their integration into data pipelines
- Understanding of cost-efficient data and AI processing
- Experience with CI/CD pipelines, containerization, and cloud deployments (e.g., Docker, GitHub Actions)
- Experience with Test-Driven Development (TDD)
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation
About Us
At HSP Group, we're pioneering a new niche within the fast-growing industry of global expansion management. As a Stage B startup, we focus on delivering value through relentless innovation, execution, and customer delight. As part of a small but highly experienced and dynamic team, you will play a critical role in our company's success.
About Gateway HR
Gateway HR is our HRI
S platform designed specifically for global expansion management. It offers deep integration with Gateway GXM — our flagship global entity management platform — enabling capabilities like automatic payslip generation, intelligent contract management, and seamless cross-border compliance.
Our platform ecosystem already includes AI-powered document recognition and classification in production, event-driven serverless architecture on Azure, and a growing suite of integrated tools spanning HR, entity management, and compliance.
Job Description
This is a remote role
We're looking for a Lead Backend Engineer to own the technical direction of Gateway HR and drive its deep integration with GXM. You'll combine hands-on platform development with technical leadership of external development teams — evolving the architecture, building innovative features, and representing HSP's engineering standards across the codebase.
This is not a pure management role. You'll be writing code, reviewing PRs, challenging architectural decisions, and shipping features — while also setting the bar for quality and engineering practices.
The Team
You'll join a small, distributed engineering organization. Day-to-day, you'll work closely with the GXM backend team, an external development partner, and the product team. You report to the Director of Engineering.
In your first 90 days, expect to: get hands-on with both the Gateway HR and GXM codebases, establish your code review cadence with the external team, ship your first meaningful feature and start shaping the integration roadmap.
Responsibilities
Architecture & Development
- Evolve the Gateway HR architecture for scale, reliability, and deeper integration with GXM
- Design and build backend systems for automated payroll processing, compliance monitoring, and intelligent document handling
- Extend AI capabilities already in production (document recognition, classification) to new HR workflows
- Design APIs and event-driven workflows using Azure Service Bus for complex, multi-tenant operations
- Work across both MongoDB and PostgreSQL — our ecosystem uses both, and you'll need fluency in each
Engineering Excellence & External Team Management
- Lead and manage external development teams — enforce standards, challenge estimates, catch quality gaps
- Conduct rigorous code reviews and establish testing strategies (unit, integration, end-to-end)
- Build CI/CD pipelines using GitHub Actions for rapid, safe deployment
- Implement observability and monitoring for distributed HR workflows
- Champion code quality through documentation, mentoring, and leading by example
Leadership & Collaboration
- Mentor backend and full-stack developers — both internal and external
- Represent HSP's engineering interests when working with external development partners
- Collaborate with the GXM team on shared infrastructure, integration patterns, and architectural decisions
- Work with product to translate HRIS vision into technical reality
- Implement feature flag strategies for safe rollout of new capabilities
Qualifications
Required
- 7+ years backend development, 3+ years in technical leadership
- Experience in a regulated or compliance-heavy industry — finance, healthcare, HR/payroll, or large-scale e-commerce — where data security, audit trails, and regulatory requirements are non-negotiable
- TypeScript/Node.js — maintainable, production-ready code
- Azure serverless — Functions, Service Bus, API Management
- PostgreSQL with ORM experience (Sequelize or similar)
- MongoDB with advanced data modeling
- Experience managing external development teams — code reviews, quality enforcement, architectural guidance
- Event-driven architecture and distributed systems design
- Terraform for infrastructure as code
- GitHub Actions for CI/CD
- Track record of establishing engineering practices and raising quality standards
Preferred
- Background in HR technology, payroll platforms, or global workforce management —understanding multi-country employment, compliance, and employee lifecycle challenges
- Cerbos or similar policy-based authorization engines
- WorkOS or similar identity/authentication platforms
- Novu or similar notification infrastructure
- Python for AI/ML integration, data analytics, or workflow scripting
- Terragrunt for advanced IaC patterns
- System migration and refactoring experience — evolving legacy systems while maintaining uptime
- Multi-tenant SaaS architecture and global scalability patterns
Why Join Us?
- Own the technical direction of a platform deeply integrated with our flagship GXM product
- Lead both internal and external teams — a true engineering leadership role, not just coding
- Real AI in production — not buzzwords, but working document recognition and classification you'll extend
- Direct impact on product direction, architecture, and engineering culture
- Modern stack — Azure serverless, TypeScript, event-driven, infrastructure as code
- Remote-first culture with a small, experienced team where your leadership directly shapes the product
- Unique market position — deep integration between HR and global expansion management
If you’re a driven individual who wants to make your mark in the heart of the innovation economy, we’d love to meet you. Join our #HSPGlobalSolutionTeam and help us power the next wave of global growth.
Ready to apply?
Apply to HSP GroupAbout Us
At HSP Group, we're pioneering a new niche within the fast-growing industry of global expansion management. As a Stage B startup, we focus on delivering value through relentless innovation, execution, and customer delight. As part of a small but highly experienced and dynamic team, you will play a critical role in our company's success.
About Gateway HR
Gateway HR is our HRIS platform designed specifically for global expansion management. It offers deep integration with Gateway GXM — our flagship global entity management platform — enabling capabilities like automatic payslip generation, intelligent contract management, and seamless cross-border compliance.
Our platform ecosystem already includes AI-powered document recognition and classification in production, event-driven serverless architecture on Azure, and a growing suite of integrated tools spanning HR, entity management, and compliance.
Job Description
This is a remote role
We're looking for a Lead Backend Engineer to own the technical direction of Gateway HR and drive its deep integration with GXM. You'll combine hands-on platform development with technical leadership of external development teams — evolving the architecture, building innovative features, and representing HSP's engineering standards across the codebase.
This is not a pure management role. You'll be writing code, reviewing PRs, challenging architectural decisions, and shipping features — while also setting the bar for quality and engineering practices.
The Team
You'll join a small, distributed engineering organization. Day-to-day, you'll work closely with the GXM backend team, an external development partner, and the product team. You report to the Director of Engineering.
In your first 90 days, expect to: get hands-on with both the Gateway HR and GXM codebases, establish your code review cadence with the external team, ship your first meaningful feature and start shaping the integration roadmap.
Responsibilities
Architecture & Development
- Evolve the Gateway HR architecture for scale, reliability, and deeper integration with GXM
- Design and build backend systems for automated payroll processing, compliance monitoring, and intelligent document handling
- Extend AI capabilities already in production (document recognition, classification) to new HR workflows
- Design APIs and event-driven workflows using Azure Service Bus for complex, multi-tenant operations
- Work across both MongoDB and PostgreSQL — our ecosystem uses both, and you'll need fluency in each
Engineering Excellence & External Team Management
- Lead and manage external development teams — enforce standards, challenge estimates, catch quality gaps
- Conduct rigorous code reviews and establish testing strategies (unit, integration, end-to-end)
- Build CI/CD pipelines using GitHub Actions for rapid, safe deployment
- Implement observability and monitoring for distributed HR workflows
- Champion code quality through documentation, mentoring, and leading by example
Leadership & Collaboration
- Mentor backend and full-stack developers — both internal and external
- Represent HSP's engineering interests when working with external development partners
- Collaborate with the GXM team on shared infrastructure, integration patterns, and architectural decisions
- Work with product to translate HRIS vision into technical reality
- Implement feature flag strategies for safe rollout of new capabilities
Qualifications
Required
- 7+ years backend development, 3+ years in technical leadership
- Experience in a regulated or compliance-heavy industry — finance, healthcare, HR/payroll, or large-scale e-commerce — where data security, audit trails, and regulatory requirements are non-negotiable
- TypeScript/Node.js — maintainable, production-ready code
- Azure serverless — Functions, Service Bus, API Management
- PostgreSQL with ORM experience (Sequelize or similar)
- MongoDB with advanced data modeling
- Experience managing external development teams — code reviews, quality enforcement, architectural guidance
- Event-driven architecture and distributed systems design
- Terraform for infrastructure as code
- GitHub Actions for CI/CD
- Track record of establishing engineering practices and raising quality standards
Preferred
- Background in HR technology, payroll platforms, or global workforce management —understanding multi-country employment, compliance, and employee lifecycle challenges
- Cerbos or similar policy-based authorization engines
- WorkOS or similar identity/authentication platforms
- Novu or similar notification infrastructure
- Python for AI/ML integration, data analytics, or workflow scripting
- Terragrunt for advanced IaC patterns
- System migration and refactoring experience — evolving legacy systems while maintaining uptime
- Multi-tenant SaaS architecture and global scalability patterns
Why Join Us?
- Own the technical direction of a platform deeply integrated with our flagship GXM product
- Lead both internal and external teams — a true engineering leadership role, not just coding
- Real AI in production — not buzzwords, but working document recognition and classification you'll extend
- Direct impact on product direction, architecture, and engineering culture
- Modern stack — Azure serverless, TypeScript, event-driven, infrastructure as code
- Remote-first culture with a small, experienced team where your leadership directly shapes the product
- Unique market position — deep integration between HR and global expansion management
If you’re a driven individual who wants to make your mark in the heart of the innovation economy, we’d love to meet you. Join our #HSPGlobalSolutionTeam and help us power the next wave of global growth.
Ready to apply?
Apply to HSP GroupAbout Us
At HSP Group, we're pioneering a new niche within the fast-growing industry of global expansion management. As a Stage B startup, we focus on delivering value through relentless innovation, execution, and customer delight. As part of a small but highly experienced and dynamic team, you will play a critical role in our company's success.
About Gateway HR
Gateway HR is our HRIS platform designed specifically for global expansion management. It offers deep integration with Gateway GXM — our flagship global entity management platform — enabling capabilities like automatic payslip generation, intelligent contract management, and seamless cross-border compliance.
Our platform ecosystem already includes AI-powered document recognition and classification in production, event-driven serverless architecture on Azure, and a growing suite of integrated tools spanning HR, entity management, and compliance.
Job Description
This is a remote role
We're looking for a Lead Backend Engineer to own the technical direction of Gateway HR and drive its deep integration with GXM. You'll combine hands-on platform development with technical leadership of external development teams — evolving the architecture, building innovative features, and representing HSP's engineering standards across the codebase.
This is not a pure management role. You'll be writing code, reviewing PRs, challenging architectural decisions, and shipping features — while also setting the bar for quality and engineering practices.
The Team
You'll join a small, distributed engineering organization. Day-to-day, you'll work closely with the GXM backend team, an external development partner, and the product team. You report to the Director of Engineering.
In your first 90 days, expect to: get hands-on with both the Gateway HR and GXM codebases, establish your code review cadence with the external team, ship your first meaningful feature and start shaping the integration roadmap.
Responsibilities:
Architecture & Development
- Evolve the Gateway HR architecture for scale, reliability, and deeper integration with GXM
- Design and build backend systems for automated payroll processing, compliance monitoring, and intelligent document handling
- Extend AI capabilities already in production (document recognition, classification) to new HR workflows
- Design APIs and event-driven workflows using Azure Service Bus for complex, multi-tenant operations
- Work across both MongoDB and PostgreSQL — our ecosystem uses both, and you'll need fluency in each
Engineering Excellence & External Team Management
- Lead and manage external development teams — enforce standards, challenge estimates, catch quality gaps
- Conduct rigorous code reviews and establish testing strategies (unit, integration, end-to-end)
- Build CI/CD pipelines using GitHub Actions for rapid, safe deployment
- Implement observability and monitoring for distributed HR workflows
- Champion code quality through documentation, mentoring, and leading by example
Leadership & Collaboration
- Mentor backend and full-stack developers — both internal and external
- Represent HSP's engineering interests when working with external development partners
- Collaborate with the GXM team on shared infrastructure, integration patterns, and architectural decisions
- Work with product to translate HRIS vision into technical reality
- Implement feature flag strategies for safe rollout of new capabilities
Qualifications:
Required
- 7+ years backend development, 3+ years in technical leadership
- Experience in a regulated or compliance-heavy industry — finance, healthcare, HR/payroll, or large-scale e-commerce — where data security, audit trails, and regulatory requirements are non-negotiable
- TypeScript/Node.js — maintainable, production-ready code
- Azure serverless — Functions, Service Bus, API Management
- PostgreSQL with ORM experience (Sequelize or similar)
- MongoDB with advanced data modeling
- Experience managing external development teams — code reviews, quality enforcement, architectural guidance
- Event-driven architecture and distributed systems design
- Terraform for infrastructure as code
- GitHub Actions for CI/CD
- Track record of establishing engineering practices and raising quality standards
Preferred:
- Background in HR technology, payroll platforms, or global workforce management —understanding multi-country employment, compliance, and employee lifecycle challenges
- Cerbos or similar policy-based authorization engines
- WorkOS or similar identity/authentication platforms
- Novu or similar notification infrastructure
- Python for AI/ML integration, data analytics, or workflow scripting
- Terragrunt for advanced IaC patterns
- System migration and refactoring experience — evolving legacy systems while maintaining uptime
- Multi-tenant SaaS architecture and global scalability patterns
Why Join Us?
- Own the technical direction of a platform deeply integrated with our flagship GXM product
- Lead both internal and external teams — a true engineering leadership role, not just coding
- Real AI in production — not buzzwords, but working document recognition and classification you'll extend
- Direct impact on product direction, architecture, and engineering culture
- Modern stack — Azure serverless, TypeScript, event-driven, infrastructure as code
- Remote-first culture with a small, experienced team where your leadership directly shapes the product
- Unique market position — deep integration between HR and global expansion management
If you’re a driven individual who wants to make your mark in the heart of the innovation economy, we’d love to meet you. Join our #HSPGlobalSolutionTeam and help us power the next wave of global growth.
Ready to apply?
Apply to HSP Group