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.

Brandwatch seeks a new member for the Integrations & Marketplace team. You will join a cross-functional, autonomous team delivering new integrations across our social media management suite.

As a Software Engineer at Brandwatch, you will deliver high-quality code that enhances existing solutions and implement new features for our customers.

In this role, you will:

• Be excited to work with us to write clear, concise Angular following best practices.
• Improve and maintain the Integration Marketplace team's frontend stack.
• Maintain high-quality coding standards in collaboration with others on the team.
• Deliver well-tested, scalable solutions.
• Serve as a sparring partner to team members.
• Share and debate best practices proactively with peers.
• Be self motivated and be comfortable working with remote colleagues as the team is based in Denmark & Hungary.

We are looking for people with:

• Strong experience with Angular 17+
• Strong understanding of JavaScript/TypeScript and the web application ecosystem
• Good understanding of FE state management (e.g., Redux)
• Understanding of component-based architecture
• Experience working with Node.js.
• Excellent communication and teamwork skills
• Familiarity with and preference for agile environments
• Desire to master software engineering
• Keep up to date with web development technology trends
• Knowledge of unit testing and end-to-end frameworks (e.g., Jest, Testcafe)
• Experience with monitoring/debugging tools (e.g., logging, error tracking)
• Fluent 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 

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.

Why Kimchi?

Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters - now we're building the execution layer where agents do real work.

Our Infrastructure today: multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API, and deployment flexibility from our GPUs to your VPC. The inference layer is the foundation. What we're hiring for sits on top of it: coding agents, agent runtimes, orchestration systems, and the reliability engineering that makes them actually finish things.

Tech Stack: TypeScript, Go, Kubernetes, AWS/GCP/Azure, MCP, Prometheus/Grafana/Loki, GitLab CI, ArgoCD.

Why harness engineering matters here
OpenAI and Anthropic ship models. They also ship one harness each - the scaffolding that turns a raw model into something that can plan, execute, recover, and complete work. We ship a different kind of harness: one built for cost-conscious, long-horizon autonomy, running on inference infrastructure we control end-to-end.
A decent model with a great harness beats a great model with a bad harness. We've watched this play out. The gap between what today's models can do and what you see them doing is largely a harness gap - and that gap is where we operate.

What you'll build
The ratchet.
Every time our agent makes a mistake, we engineer a solution so it never makes that mistake again. That means hooks that enforce constraints the model "knows" but forgets: pre-commit lint checks, permission gates, context compaction before the window fills. Success is silent, failures are verbose.

Long-horizon execution.
Our harness is built around spec-driven autonomy: meta-prompting, fresh context per task, worktree-per-slice git strategy, automatic replanning, crash recovery, stuck detection. We're implementing Ralph loops - when the model tries to exit, we intercept and reinject the goal into a fresh context. The agent reads state from disk and continues. Multi-session, multi-day work, without context rot.

Planner/executor splits.
Planning with a reasoning model, executing with a fast one, evaluating with a third. Separating generation from evaluation beats self-verification because agents reliably skew positive when grading their own work.

The harness surface.
CLI, TUI, MCP integration, sandboxed execution, telemetry. Our AGENTS.md is short - every line traces to a specific thing that went wrong. TypeScript on the surface, Go where it matters.

Memory and context.
Moving agents off laptops, giving them state that survives across sessions, managing context so information lands where it's actionable. Compaction, tool-call offloading, progressive skill disclosure.

What makes this different (with receipts)
You've seen the pitch: "we route to the best model." Everyone says that. Here's what we actually have:

• GPU infrastructure we own. Not just an API reseller. From GPU placement across clouds to the inference endpoint your agent calls - we control the cost curve.
• A harness-first thesis. We treat agent failures as configuration problems, not model problems. When we moved from a stock harness to our own, completion rates on internal benchmarks improved by 40%+ on the same model.
• Agents.md that earns every line. No brainstormed rules - every constraint in our system prompt traces to a real failure we saw and fixed.

Requirements:

• You've used AI coding agents in anger. Not demos - real work. You have opinions about Claude Code, Codex, OpenCode, Cursor. You know what it feels like when an agent gets stuck and why.
• Strong TypeScript or Go in production. Comfort moving between them. Our surface is TypeScript; our core is Go.
• You think in harness terms. You read "the agent hallucinated" and your first instinct is to ask what context it was missing, what hook should have caught it, what constraint should exist.
• You drive features end-to-end. Design → build → ship → measure → iterate. We don't have layers that absorb ambiguity for you.

Responsibilities:

• Build and evolve the agent harness - ship hooks, permission gates, and context compaction. Every AGENTS.md constraint traces to a failure you personally diagnosed.
• Own long-horizon execution - multi-session task completion via spec-driven prompting, worktree-per-slice git, Ralph loop recovery, and stuck detection. Completion rate is your metric.
• Architect planner/executor/evaluator pipelines - planning with a reasoning model, execution with a fast one, evaluation with a third. No self-verification.
• Manage agent memory and context - state persistence across sessions, context compaction, tool-call offloading. Zero context rot on multi-day work.
• Own the harness surface - CLI, TUI, MCP integrations, sandboxed execution, telemetry. TypeScript on the surface, Go where it matters.

What success looks like (after 6 months):

• You've shipped at least one major harness feature end-to-end: designed it, built it, measured it, iterated.
• You've added constraints to our AGENTS.md based on failures you personally observed and diagnosed.
• You've improved a measurable reliability metric - completion rate, context efficiency, or cost per successful task.
• You've formed strong opinions about where our harness is load-bearing and where it's dead weight.

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.

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.

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

#LI-Remote

The Position

At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented Test Automation Engineers to join our teams who are designing, building, re-engineering and testing advanced cybersecurity products that protect critical infrastructure worldwide.  If you are knowledgeable, creative and passionate, and interested in testing unique security solutions that no one else is developing, then you could be just the person we are looking for!

At OPSWAT, we believe that exceptional talent is always worth getting to know, even when there are no current vacancies. Our Evergreen Test Automation Engineer position offers continuous opportunities for enthusiastic and motivated professionals to 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.

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.

You Will Have the Opportunity to

• Contribute to the development of integrated automated tests 
• Create automated test reporting and metrics collection
• Enable the transition of testing from a manual to an automated approach 
• Keep testcases up to date and refactor them 
• Collaborating and sharing knowledge with QA Team members and Software Developers to develop solutions 

What We Are Looking For

• Practical knowledge in designing and developing test automation solutions
• Quality mindset
• Solid knowledge in Python, JavaScript or TypeScript programming languages
• Highly accurate and detail-oriented approach
• Strong command of the English language (both written and verbal)
• Commitment to learning and openness to new technologies
• Experience in CI/CD environments
• Demonstrated ability to use AI tools (e.g., ChatGPT, Copilot, Notion AI, Midjourney) to improve efficiency, creativity, or problem-solving.
• Experience with containerization and AWS knowledge are welcomed
• ISTQB certificate is appreciated

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 Position

At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented Frontend Engineers to join our teams who are designing, building, re-engineering and testing advanced cybersecurity products that protect critical infrastructure worldwide. If you are knowledgeable, creative, and passionate, and interested in building intuitive and cutting-edge user interfaces for security solutions that no one else is developing, then you could be just the person we are 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 Frontend 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 Frontend Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have the Opportunity to

• Design and implement interactive dashboards and reporting interfaces, enabling users to visualize key metrics, audit logs, and system activity within the cybersecurity platform
• Develop responsive and interactive user interfaces for our cybersecurity software products using HTML, CSS, and JavaScript
• Collaborate closely with product managers, designers, and backend engineers to translate user requirements and design concepts into functional frontend components and features and integrate frontend components with backend APIs, services, and data sources, ensuring seamless data flow and system interoperability
• Lead early frontend architecture and technology stack decisions (e.g., framework, component architecture, state management)
• Work closely with product managers, designers, and backend developers to turn user needs and designs into functional frontend features.
• Connect the frontend with backend APIs and data to ensure everything works smoothly together.
• Define the development workflow, including code structure, testing strategy, and CI/CD integration for frontend delivery
• Implement frontend best practices, including modular code architecture, code reusability, performance optimization, and adherence to accessibility standards 
• Take ownership of key UI components and application flows, for example:
• Develop dashboards and activity views for admins
• Implement RBAC and approval workflows in the frontend
• Integrate REST APIs and improve overall UX
• Participate in code reviews and provide constructive feedback to other team members

What We Are Looking For

• At least 3 years of frontend development experience
• Working knowledge of HTML5, CSS3, CSS preprocessors (less/sass/scss), TypeScript and latest (ES6+) JavaScript standards  
• Experience in JavaScript frontend frameworks (such as Angular, React, Vue.js)  
• Good understanding of best practices of building cross-browser, device-independent interfaces and RESTful web services 
• Open to learn new technologies every day 
• Strong troubleshooting and performance tuning skills 
• Good English communication for both speaking and writing
• Familiarity with Git and branching models is an advantage

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 

Here’s a summary of the role:   

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

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

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

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

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

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

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

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

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

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

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

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

• Proven experience with delivering AI based customer solutions to production 

• Familiarity with modern data transformation tools such as dbt 

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

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

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

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

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

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

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

• Hands‑on experience with PostgreSQL and strong SQL workflows 

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

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

#LIHybrid

We are looking for a highly skilled QA Engineer to join our Brand Experience (BX) area. This role takes a holistic approach to Quality Assurance – from functional testing to automation engineering. You will be involved in designing and executing test cases, ranging from manual testing to writing end-to-end and integration testing with our test automation framework. 

Writing and maintaining automated tests is an important part of this role - but it’s not the whole story. You can have the chance to get involved in evolving our automation frameworks, improving CI/CD processes, and shaping how quality is approached across multiple brands. There’s real room to grow into these areas over time, with increasing ownership and impact as you develop within the team.  

You will work closely with other Developers, Tech Leads, Architects and Product teams to drive a strong Quality Engineering culture. This is a role for QA engineers who want to understand systems end-to-end, put themselves in the customer’s shoes and drive quality on all fronts.

If you enjoy problem-solving, automation, and working in a modern engineering environment — this is the challenge for you. 

The Wow 

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

A taste of what you will be doing

• Create and execute testing scenarios for manual and functional testing on our products using available tools such as physical testing devices and BrowserStack, across multiple platforms 

• Design, implement, and maintain end-to-end test suites using JavaScript/TypeScript with Playwright. 

• Create and optimise UI and integration tests that support a multi-brand, multi-jurisdiction ecosystem. 

• Participate in development lifecycle activities: refinements, technical design discussions, architecture reviews, and quality gate definition. 

• Implement and maintain test data strategies, mocks, stubs, and service virtualization where appropriate. 

• Participate in the identification and troubleshooting of issues across frontend, API, and integrations. 

• Collaborate with engineering teams to improve testability, observability, and debugging capabilities. 

• Use dashboards and reporting tools (Allure, Grafana, Kibana, OpenSearch, etc.) to analyse failures, detect patterns, and improve reliability. 

• Drive a quality-first mindset, advocating for automation, engineering excellence, and continuous improvement across BX. 

• Mentor and support other QA Engineers and Developers in quality best practices, shift-left testing mindset, tooling, and design

What we are looking for:  

• Strong experience writing and executing test scenarios, covering technical and product requirements, identifying pitfalls and edge cases, to ensure high confidence in our Releases. 

• Hands-on experience with Playwright, or equivalent automation frameworks (Cypress, Selenium, WebdriverIO) using JavaScript/TypeScript. 

• Solid understanding of test strategies, including mocking, isolation, reliability improvements, and root-cause analysis. 

• Proactive ownership mindset, focused on continuous improvement and solving problems at their root. 

• Excellent communication skills; ability to explain technical concepts and mentor team members. 

About You:

You are someone who thinks like an engineer, not a test executor. You enjoy tackling quality from different perspectives – how the real user perceives our product, thinking at scale and automating scenarios for faster, more robust product iterations. You enjoy understanding systems, and solving complex quality challenges. You bring a strong sense of ownership, curiosity, and attention to detail, and you’re always looking for opportunities to elevate quality through automation and engineering. 

Bonus points for:

• Experience working with microfrontends, component libraries, or distributed frontend architectures. 

• Clear understanding of all levels of functional testing, including Unit Testing. 

• Exposure to non-functional testing, specifically Performance Testing using tools such as K6 or JMeter.  

• Knowledge of contract testing (Pact or similar) is considered an asset. 

• Exposure to TDD practices. 

• Practical experience building and maintaining CI/CD workflows using tools such as GitHub Actions or TeamCity.  

What we offer

• Fitness-wellness allowance  🧗‍♂️
• Company mobile phone for private use with 100 GB  📱
• Annual HUF devaluation compensation  💡
• Hybrid model: 3 days in the office 🏢  & 2 days from home  🏠
• Private Health Insurance  🩺
• Career development  📈
• Technical and soft-skill training opportunities 🎓
• Breakfast, fruits & lunch 🍎
• Team building events  🥳

Challenge Accepted? 

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Actively ship production code to the web products
• Work closely with your dedicated product team
• Participate in product discussions to shape the product roadmap
• Have the opportunity to work on new and exciting features that will impact millions of lives

An Ideal Candidate Should Have

• Experience. You've built and ship products that have scaled to thousands or millions of users
• Customer obsession. You are passionate about the field and have the desire to build high quality product that serves customer needs
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Tech Stack: Vanilla JS, ReactJS, Redux, Firebase, Typescript

What We Offer

• A fast-growing environment where you can help shape the culture
• An entrepreneurial crew that supports risk, intuition, and hustle
• A hands-off approach so you can focus and do your best work
• The opportunity to make an impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

LastPass is looking for a Staff Kubernetes Engineer:

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

About the Team:

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

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

Who will you work with?

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

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

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

What does it take to work at LastPass?

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

It’s great, but not required:

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

LastPass is looking for a Staff Kubernetes Engineer:

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

About the Team:

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

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

Who will you work with?

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

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

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

What does it take to work at LastPass?

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

It’s great, but not required:

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

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)

Here’s a summary of the role: 

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

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

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

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

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

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

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

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

• 12+ years of total software development experience 

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

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

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

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

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

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

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

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

• Background in designing and operating robust data integration workflows 

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

#LI-Hybrid

Position Overview 

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

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

 
Key Responsibilities 

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

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

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

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

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

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

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

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

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

Required Experience/Skills

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

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

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

• Problem-solver attitude - Technology agnostic approach  

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

• Experience with Microservices architecture 

• Commitment to producing well tested and documented code 

• Good understanding of RESTFul Services 

• Strong code review, mentoring and refactoring skills 

• Creative and innovative problem-solving skills 

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

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

• Keen to improve processes and share knowledge across the team 

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

• Be passionate about delivering value to our customers 

• Good mentoring skills  

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

#LI-Hybrid

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

Tulip, the leader in frontline operations, is helping companies around the world equip their workforce with connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Companies of all sizes and across industries have implemented composable solutions with Tulip’s cloud-native, no-code platform to solve some of the most pressing challenges in operations: error-proofing processes and boosting productivity, capturing and analyzing real-time data, and continuous improvement.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany and Hungary. Focused on composable, human-centric solutions for industrial environments, Tulip is disrupting the MES category and has been recognized as a World Economic Forum Global Innovator.

Software systems are complex beasts filled with odd historical intricacies and idiosyncrasies. Tulip is looking for someone who marvels at the complexity of real, production-level systems and finds joy in creating a future-facing vision of how to improve them. 

About You:

• You care about developer productivity and building tools that make engineers' lives easier and more enjoyable.
• You think holistically about the software development lifecycle — from local dev environment to CI/CD pipelines to production deployment & observability.
• You enjoy collaborating across teams and have a talent for gathering requirements from diverse stakeholders.
• You take ownership of the internal tools and platforms you build, treating internal users with the same care as external customers.
• You champion engineering best practices and enjoy spreading knowledge through documentation, demos, and mentorship.

What skills do I need? 

• You can pick up new languages/frameworks with ease. We don’t require specific experience with the stack that we use, but we do currently run Go and Typescript services on Kubernetes. 
• You have experience building and maintaining CI/CD pipelines and developer tooling (e.g. GitHub Actions, build systems, linters, test frameworks).
• You can communicate as well as you can code. You understand the value of discussion and work best in a team that champions clear and frequent communication.
• You understand, and can spread knowledge around the multiple tiers of an effective automated testing strategy

Key Responsibilities:

• Design, build, and maintain internal developer tools, platforms, and workflows used across Tulip's engineering organization.
• Own and improve CI/CD infrastructure to reduce build times, increase reliability, and enable faster iteration.
• Identify and eliminate friction in the developer experience through automation, better tooling, and streamlined workflows.
• Establish and document best practices for code quality, testing, and development workflows.
• Contribute to onboarding tooling and documentation to help new engineers ramp up quickly and effectively.

Key Collaborators:

• Engineering team
• QA team
• TechOps team

Working At Tulip

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

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

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

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

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.

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

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

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

About You:

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

What skills do I need? 

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

Nice to haves

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

Key Responsibilities:

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

Key Collaborators:

• Engineering
• DevOps
• Product Management

Working At Tulip

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

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

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

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

Position Overview:

We are seeking a talented and driven Senior Software Engineer in AI to join our growing team at Diligent. Reporting to Applied Science Manager, this exciting role involves bridging the gap between Applied Scientists and Product teams - developing, deploying, and scaling ML and LLM-based systems as part of Diligent’s AI platform services to accelerate AI adoption across Diligent's diverse product suite. 

Diligent is a global leader in modern governance, delivering innovative SaaS solutions that address governance, risk, and compliance (GRC) needs. Our mission is to empower leaders with cutting-edge technology, actionable insights, and vital connections to drive impactful decisions and lead with purpose. 

Key Responsibilities: 

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform. 

• Build automated AI testing and evaluation frameworks. 

• Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities. 

• Shape and develop the teams AI platform infrastructure utilizing already established patterns at the organization. 

• Design and develop AI libraries and frameworks to help accelerate value delivery across AI platform services. 

• Work on projects involving sensitive customer content used for Diligent customers’ board communications, which requires stringent privacy and security measures.  

• Document and communicate your approach, progress, and results to the broader team and to other development teams. 

Required experience/skills: 

• 5+ years of relevant experience. 

• Strong ability to develop highly readable and well-tested code that adheres to SOLID principles. 

• Proven proficiency in Python and TypeScript. 

• Experience with infrastructure-as-code practices preferably in AWS (or experience with other major cloud providers). 

• Ability to contribute to a high-performing agile team, and to product innovation. 

• Keen to improve processes and share knowledge across the team. 

Nice to have:  

• Hands-on AWS CDK experience 

• Hands-on experience with LLMs including prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions or MCP servers. 

• Experience with full AI-based solution lifecycle.

#LI-Hybrid

Position Overview:  

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

Key Responsibilities: 

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

Required Experience/Skills  

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

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