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.

We are looking for an experienced Corporate Infrastructure Engineer who will be focused on Wolt and Doordash´s IT Infrastructure. This role will build and scale our systems to support a fully automated infrastructure by leveraging various technologies. You will work closely with several teams here at DoorDash including (but not limited to): Security, IT, Network Engineering and Enterprise Systems.

Our ideal candidate for this position will have the ability to identify problems and offer resolutions in a timely manner. You will be responsible for the design, development and implementation of corporate IT systems. You will report into the Manager, Infrastructure in our IT organization.

What you’ll be doing

• Run and maintain our corporate infrastructure hosted in AWS
• Maintain and administer infrastructure deployment tools
• Be self motivated to build high quality, scalable systems with cross-functional teams
• Be able to think critically, get into the details and change directions rapidly
• Be able to handle multiple contending priorities and effectively plan your work accordingly
• Navigate existing technologies and quickly learn and adapt to new technologies
• Make recommendations for the improvement and development of IT systems

Our humble expectations*

• You have 4+ years of experience in an Infrastructure Engineering role
• You have demonstrated experience with Python, bash and other scripting fundamentals
• AWS, Azure, Kubernetes, Docker and GCP systems/tools of high familiarity
• You have 2+ years of experience with Infrastructure as a Code tools like Terraform, CloudFormation, Pulumi.
• You have 2+ years of experience working with microservices
• You understand that monitoring/observability is equally important. Experience with but not limited to tools like Prometheus, Grafana, Nagios, Datadog, Splunk.
• You have experience in configuration management and security management
• You are a self starter with attention to detail who understands the value in system monitoring

Next steps

All applications are reviewed by a real human, so please be patient. Qualified candidates will have the opportunity to speak with a member of our recruiting team before moving on to talk with the hiring manager. This is a highly technical role so the next step will be a live scripting/coding interview, followed by chats with members of the team and cross-functional partners.

We are looking to fill this role as quickly as possible, but are committed to finding the right candidate who will be successful in the role

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.

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.

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. 

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)

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:

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.

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 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.

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 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.

Here’s a summary of the role:   

This is a principal-level role for someone who has already operated at Staff or Principal Engineer level in a sizeable engineering organization and can point to specific platform decisions — in production today — that they own. You'll set the technical direction for our AI-enabled platform: architecting secure, scalable, serverless systems on AWS, defining the patterns and governance practices that multiple teams adopt, and guiding where AI genuinely adds value across the stack. 

Your leverage comes from the systems, architectures, and standards you put in place — not from individual output. You'll mentor senior engineers, lead org-wide design decisions, and be the person other technical leaders turn to when the hard calls need to be made. You'll still write code, but that's not where your impact is measured. 

If you've led complex platform or AI initiatives at scale, have strong opinions about AI governance in production systems, and want the scope to shape an entire platform's future, this is that role. 

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

• Shape engineering strategy with broad organizational impact — you'll influence long-term architectural direction across multiple teams and products, not just within your own squad. 

• Drive platform evolution by identifying cross-cutting pain points and leading the design of secure, scalable, reusable solutions built on AWS and modern serverless and microservice patterns. 

• Lead architectural discussions and design reviews where the stakes are real — making clear trade-offs around performance, security, reliability, and maintainability, and getting alignment across teams with competing priorities. 

• Own AI architectural decisions end-to-end: design AI-enabled systems with built-in governance, monitoring, and regulatory readiness baked in from the start, not retrofitted. Define where AI adds genuine value and where it doesn't. 

• Act as the organization's AI thought leader — educate engineering teams on model behavior, agentic systems, and responsible AI practices, and raise the overall maturity of how we design and deploy AI. 

• Mentor and stretch senior and staff engineers, building technical leadership depth across the organisation and holding a high bar for engineering standards. 

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

• Principal-level track record at scale. 10+ years of software engineering experience, including at least 3 years' operating at Staff or Principal Engineer level in an organization of 100+ engineers. You've led large, complex platform or AI initiatives where you were the decision-maker, not a contributor. 

• Deep, opinionated AWS platform expertise. You've designed multi-account AWS architectures and made the call on when serverless is the wrong choice. You work fluently with Infrastructure as Code — Terraform or CDK preferred — and have strong views on observability, resilience, and security that you've translated into org-wide patterns. 

• Production AI systems experience. You've shipped AI-enabled systems — RAG pipelines, agentic frameworks, LLM orchestration, or similar — into production and can discuss the architectural decisions, failure modes, and trade-offs involved. "Understanding AI concepts" is not enough; we need someone who has built and run these systems. 

• AI governance in practice. You've defined and implemented AI governance in real production environments — bias and privacy checks in pipelines, audit-ready monitoring, AI usage policies — not just read about it. This is essential, not a bonus. 

• API design and backend platform delivery. Proven track record designing and shipping RESTful APIs and backend platform components using Node.js/TypeScript. You understand frontend concerns well enough to set API contracts that serve product teams effectively, even if you're not writing React day-to-day. 

• Org-level communication and influence. You can align stakeholders on complex technical decisions, run architecture forums, and mentor other senior technical leaders. You're as comfortable in a board-level conversation as you are in a design review. 

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

• Experience building platform components or SDKs that multiple product teams depend on, including the documentation and enablement work that makes them adoptable. 

• Involvement in architecture forums, tech councils, or similar bodies that define org-wide standards — either running them or playing a leading role. 

• Experience optimising cost and performance for data and AI-heavy workloads at scale, including capacity planning and infrastructure tuning. 

• Leadership of major modernisation efforts — legacy migration to serverless, multi-region architecture, or platform consolidation across product lines. 

• A public technical presence — conference talks, open-source contributions, published writing — that demonstrates thought leadership beyond your current organisation. 
  
  #LI-Hybrid
  #LI-Hybrid