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.

Brandwatch is looking for a new member for the Integrations & Marketplace team. You will be part of a cross-functional, autonomous team responsible for delivering new integrations across our product suite.
As a Senior Backend Engineer in Brandwatch, you will be responsible for developing high-quality code that can improve current solutions, or provide new functionality to our customers. You will be part of the entire journey that brings a feature from a discovery state to delivery on production.

In this role, you will:

• Improve and maintain the backend stack of our Marketplace and current Integrations while contributing ideas and feedback to the rest of your backend colleagues.
• Uphold a high-quality standard in the backend stack in collaboration with other teams.
• Deliver well-tested and scalable solutions.
• Act as a sparring partner to various members of the team.
• Proactively share and debate best practices with your peers.

We are looking for people with:

• A solid understanding of APIs and contracts.
• Familiarity with micro-services.
• Intimate knowledge of the Spring Framework and the Spring ecosystem (although other similar frameworks are also fine).
• Experience of highly distributed, event-driven systems.
• A record of coaching & mentoring other team members.
• A willingness and aptitude to influence the technical, architectural direction of our product.
• A working knowledge of Apache Kafka and PostgreSQL.
• Experience in building and debugging complex systems.
• A proficiency with Docker and Kubernetes.
• An ability to write concise, to the point and idiomatic code in Java.
• Knowledge of unit testing frameworks and end-to-end testing.
• Excellent skills in communication and teamwork.
• Familiarity of Agile and the associated methodologies and tooling.
• A willingness to contribute to team reflection and improvement.
• An ability to adapt to change, be resourceful and share knowledge with the rest of the team.
• Good fluency in English.

Position Overview:  

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

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

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

Key Responsibilities: 

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

Required Experience/Skills  

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

Here’s a summary of the role:   

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

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

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

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

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

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

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

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

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

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

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

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

• Proven experience with delivering AI based customer solutions to production 

• Familiarity with modern data transformation tools such as dbt 

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

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

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

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

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

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

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

• Hands‑on experience with PostgreSQL and strong SQL workflows 

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

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

#LIHybrid

About the Role

Diligent is the AI leader in GRC solutions, helping organizations around the world turn governance, risk, compliance, audit, and ESG into a competitive advantage. Within HR we're embarking on our own transformation journey to fundamentally redesign how our people experience HR at Diligent.

We're looking for a AI Systems & Data Engineer who can co-own the technical heavy lifting of this transformation. This isn't just configuration work — you'll write Python scripts for complex data conversions, build AI agents and standalone people-facing solutions, architect integrations, design automation workflows, and solve problems we haven't encountered yet.

We need a strong engineer who can figure things out, move fast, and think about the impact on thousands of people, not just data rows—someone who cares about impact, not just technically elegant solutions. You'll have the autonomy to propose ideas, experiment, and own outcomes, while working with experienced HR and technology teams who can provide context and support.

Key Responsibilities

• Play a key role in the data migration workstream from Oracle HCM and Greenhouse to Workday — writing Python scripts for complex data transformations, conducting manual data audits to validate integrity, and building automated validation frameworks.
• Design and build a modern AI-powered automated acceptance testing framework for the Workday implementation — enabling the team to run rigorous, repeatable UAT without manual overhead.
• Design and build scalable workflow automations across the HR tech stack, using Workato and other platforms.
• Build conversational AI agents and standalone AI-powered solutions (e.g. self-service People Experience tools) on DiligentGPT (Glean), Workato, self-hosted, and other platforms — including hosted tools with their own presence beyond a single chat interface.
• Build AI-powered auditing and validation agents to monitor data integrity, flag anomalies, and surface quality issues across HR systems — with AI layer exploration.
• Support implementation and configuration of HR tooling and integrations across the tech stack, ensuring systems are properly connected and maintained.
• Create data visualisations and dashboards that enable HR stakeholders to access insights, make data-driven decisions, and identify opportunities for automation — while also monitoring migration progress and system health.
• Document technical architecture, data flows, and integration patterns to enable future maintenance and support knowledge transfer.
• Troubleshoot and resolve data quality issues, integration failures, and system errors as they arise during implementation and post-go-live.
• Partner with HR Operations, HRIS, and business stakeholders to gather technical requirements and translate business needs into technical solutions.
• Question assumptions, propose better approaches, and advocate for solutions that are technically sound and human-centred.

Required Skills & Experience

• 4+ years of hands-on engineering experience building data pipelines, integrations, or automation systems
• Strong Python skills with experience in complex data transformations and clean, maintainable code
• Experience with APIs (REST, SOAP), JSON, XML and integrating different systems; comfortable with SQL and database concepts
• Experience with automation/integration platforms (e.g. Workato, JSM) and AI agents, chatbots, or LLM-powered applications
• Familiarity with enterprise HRIS platforms (Workday, Oracle HCM) and understanding of HR data structures
• Proven track record of leading technical projects end-to-end with stakeholder management and delivery ownership
• Self-directed and outcome-focused — you figure things out, communicate technical concepts clearly, and care about solving problems

What You'll Gain

• Understanding of how HR transformation works at scale across a global organization.
• Deep hands-on experience with Workday (industry-leading HRIS) implementation and configuration
• AI agent development and LLM integration experience building production tools used by thousands of employees
• Enterprise data migration and integration architecture expertise across complex HR systems
• Automation platform mastery and workflow design skills
• Exposure to the intersection of people, process, technology, and change management while building relationships across HR, IT, Data, and Apps teams
• Portfolio-worthy work: AI agents, data pipelines, and integrations used by 2,500+ employees across 21 countries
• Experience that translates to HR tech consulting, product engineering, or senior IC/leadership roles

This is a one year fixed-term role (possibility to move to permanent) tied to our Workday implementation and AI transformation roadmap. You'll report to the Senior Director of HR AI & Systems Transformation (who is based in London) and work closely with our global team across HR Operations, HRIS, IT, Data, Apps, and transformation project teams.

#LI-Hybrid

About the Role: 

Here’s what you’ll be doing:

• Create and cultivate deep business relationships with the biggest producers, creators, venues and key stakeholders in the entertainment industry.
• Develop and deliver a growth strategy for the market, with an innovative and effective approach to scaling Fever's presence in the region
• Expertly manage commercial strategy with large partners ensuring value creation for both parties
• Evidence strong organizational skills to effectively balance and grow a large base of clients 
• Collaborate closely with cross functional stakeholders to successfully deliver on partner growth across Hungary and internationally
• Keep up to date with everything cool that’s happening in the entertainment; think of yourself as the expert for new and trending experiences

About You:

Here’s what you should bring to the table:

• At least 3+ years of top tier consulting or equivalent experience, with additional 5+ years of experience in relevant sectors (e.g. corporate management, tech companies, sport / music / arts)
• Proven track record of sales success in a fast-paced, quota carrying role
• Strong business development and partnership management skills
• Self-starter mentality with an ability to work in a demanding, dynamic start-up environment
• Demonstrated data-driven approach to business and task prioritization
• Excellent communication skills both written and verbal in English and Hungarian along with strong attention to detail
• Comfort in working with Microsoft Office, Google docs, and a Sales CRM (Salesforce is preferred)
• Knowledge of the city’s entertainment, events, and lifestyle trends
• Experience in the event and entertaiment industry is a plus but not required

Benefits & Perks: 

• Attractive compensation package consisting of significant stock package, base salary, and performance-based bonus
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Responsibility from day one and professional and personal growth
• Great work environment with a fun, international team of talented people to work with!

#LI-Hybrid 

Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day. 

We are looking for a Senior Software Engineer to manage new implementations or enhancements of our quickly growing portfolio of customers. They will lead the implementation of custom systems and applications aligned to business requirements and will be responsible for implementing the design and ensuring successful deployment of integrations through the entire project lifecycle. 

CMT is looking for a collaborative, customer-committed, and creative Senior Software Engineer, Customer Solutions who wants to join us in making roads safer by making drivers better! 

Responsibilities: 

• Serve as a tkey technical contributor for our customers in designing, developing, validating, maintaining, releasing, and operating CMT backend customer solutions and integrations, with the ultimate goal being to help the top insurance companies in the world in growing their business and in implementing CMT’s telematics solutions. 
• Work with Sales, Engineers, and Solution Architects to understand business requirements and effectively size Sprints with active participation in scrum team planning and technical meetings
• Conduct due diligence remotely and on-site with clients and partners in concert with Platform Engineering team members to define customer integration requirements and design 
• Ensure that the implementation of integration designs are secure, performant, scalable, fault tolerant, and testable 
• Participate in architecture/implementation proposal reviews 
• Support and continuously improve release and deployment pipeline 
• Partake in an on-call rotation alongside the engineers who build our production backends
• Be able to operate in a highly regulated environment 
• Complete any additional tasks as they arise 

Qualifications: 

• Bachelor’s degree or equivalent years of experience and/or certification in a related field 
• 4+ years of relevant experience 
• Good coding skills in at least one programming language, and a desire to pick up more. We work primarily in Python, with smatterings of shell scripts, Jenkinsfile and JSON configurations.
• Proven ability to quickly learn new technologies and understand complex systems (APIs, databases, SDK's, etc.) 
• Ability to identify and clearly communicate pragmatic solutions to complex integration problems
• Deep understanding of AWS services and DevOps principles

Nice to Haves: 

• Master's degree preferred 
• Experience using EC2, SQS, Lambda, Dynamo, RDS (PostgreS), S3, Kinesis, ECS, and IAM
• Experience with Docker, NGINX, PostgreSQL, Consul and/or Cassandra 
• Experience with large scale production systems and technologies, for example load balancing, monitoring, distributed systems, and/or configuration management

Compensation and Benefits: 

• Fair and competitive salary based on skills and experience 
• Equity may be awarded in the form of Restricted Stock Units (RSUs) 
• Private healthcare 
• Life insurance 
• Parental leave 
• Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

• The gross base yearly salary range for this position is: 18,306,300 to 22,882,900 HUF. This range is specifically for Budapest, Hungary. 

Additional Perks: 

• Feel great working to improve road safety around the world! 
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness 
• Extensive education and employee assistance programs 
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion: 

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

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)

Position Overview  

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

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

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

Key Responsibilities  

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

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

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

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

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

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

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

• Communicate clearly on strategy, progress, and risks. 

• Mentor senior and mid-level peer engineers. 

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

Required Experience & Skills  

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

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

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

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

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

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

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

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

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

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

#LI-Hybrid

Here’s a summary of the role: 

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

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

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

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

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

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

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

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

• 12+ years of total software development experience 

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

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

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

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

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

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

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

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

• Background in designing and operating robust data integration workflows 

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

#LI-Hybrid

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

Here’s a summary of the role:  

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

• Build and maintain the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework) — the technical core of our Compliance in a Box product
• Design and implement a 7-agent architecture: OnboardingAgent, ScopeAgent, StandardsMapper, RiskQuantifier, PolicyAnalyzer, InfrastructureAuditor, and ComplianceMonitor
• Implement Human-in-the-Loop (HITL) gates across agent workflows, and tune prompts and confidence scoring for Bedrock-hosted models
• Own the agent evaluation framework — measuring quality, latency, and reliability to keep CiaB performant and production-ready
• Collaborate with cross-functional teams to deliver CiaB feature-complete by Week 7 — your work ships fast and your impact is visible from day one

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

• A degree in Computer Science, Software Engineering, or a related IT discipline
• Demonstrable understanding of AI/ML concepts, including LLMs and agent-based systems
• Ability to write clean, well-tested code — Python preferred
• Strong experience of shipping real AI products - not chatbots!
• Strong communication skills and a collaborative mindset

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

• Exposure to AWS services, especially Amazon Bedrock or similar LLM hosting platforms
• Familiarity with GRC concepts (governance, risk, compliance) or cybersecurity frameworks such as ISO 27001 or SOC 2
• Any experience with agent orchestration libraries (e.g. LangChain, CrewAI, AutoGen)

Position Overview: 
You will lead, own and drive the evolution of market-leading solutions within the Diligent ecosystem. You will gain an in-depth knowledge of customers’ needs, the business domain, and corporate strategy to ensure the product evolves to deliver on all these fronts.  As Product Manager you will develop relationships and collaborate with internal stakeholders and cross-functional teams  in order to define the product vision, identify and work through dependencies with other products, and actively solicit feedback on your products and roadmap.

Key Responsibilities
• Responsible for the product(s) roadmap, from ideation to launch. 
• Be the voice of the customer in our product team, by clearly communicating and sharing insights about our customers and how we can get their jobs done better.
• Serve as the leader of a cross-functional team of developers, UX designers, and stakeholders in Customer  Success, Sales, and Marketing.
• Delivery of high quality user experiences on multiple platforms (Mobile, Web, Desktop) for the target  personas.
• Responsible for creating and maintaining a prioritized backlog of user stories with clearly written user  stories.
• Develop and maintain a strong knowledge of the business domain, applying problem solving skills to address critical and complex issues to ensure the product evolves in light with the organizational strategy.
• Responsible for the ongoing tracking of product performance, user engagement, and outcomes measurement.
• Monitor the external market landscape, including competitor analysis and market trends to inform the product roadmap. 

Required Experience/Skills:
• 4+ years’ experience in a product management role
• Experience working with SaaS products.
• Proven experience and day to day usage skill of AI tools
• Excellent communication skills. 
• Demonstrate experience in writing technical and functional requirements. 
• Demonstrate experience interacting directly with stakeholders at all levels of the business. 
• Demonstrate strong organisational skills and ability to coordinate with other development teams. 
• Experience integrating with multiple products (desirable). 
• Certified Scrum Product Owner or similar qualifications (desirable)

#LI-Hybrid

Position Overview

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

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

Key Responsibilities

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

Requiered Experiences/Skills

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

#LI-Hybrid

Here’s a summary of the role:   

You’re a hands‑on engineer who likes solving real problems at scale. You’ll design and build new features in a flagship SaaS product, modernise legacy systems, and shape the future architecture using microservices, REST APIs, SQL, and cloud‑native patterns on AWS. You enjoy breaking things down, running experiments, building POCs, and collaborating closely with product managers to ship clean, well‑tested solutions. You take ownership of your work, mentor others, and constantly look for smarter, more elegant ways to build software. 

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

• Design, code, review, and test new features in one of the flagship products 

• Break down and refactor legacy software components 

• Participate in the largescale design of the future state of the product, run experiments and create POCs for validation and refinement 

• Collaborate with product managers and other teams to specify technical requirements, deliverables, and optimized solutions 

• Assist and mentor team members 

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

• 5+ years of experience in a hands-on development role at a commercial software company 

• Strong experience with SQL / RDBMS 

• Experience with microservices, REST APIs 

• Experience with cloud tools, cloud native development, preferably AWS 

• Problem-solver attitude, technology agnostic approach 

• Successfully manage own workload, take ownership, and stay pro-active 

• 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 SQL stored procedures 

• Worked with both backend and frontend, experience with NodeJS 

• CI/CD experience, containers, cloud deployments, GitHub actions 

• Familiarity with event-driven architecture 

• Experience with data visualisation / reporting tools, like Lookr, QuickSight, etc 

 #LI-Hybrid

Position overview:

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

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

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

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

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

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

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

Key Responsibilities 

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

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

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

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

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

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

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

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

What You’ll Bring 

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

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

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

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

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

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

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

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

Preferred Experience 

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

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

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

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

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

#LI-Hybrid

At Fever, we are expanding our original experiences across Europe! We are looking for one highly organized Freelance Production Assistant to be our primary on-site point of reference for our upcoming shows in Hungary.

This is a versatile role, acting as the bridge between the Italian production team, the local cast, and the technical crew.

YOUR ROLE & RESPONSIBILITIES

Pre-Production & Setup:
- Point of Reference: Act as the local lead for all pre-production and show management aspects.
- Technical Prep: Review all AV materials (images, video, audio) and analyze scripts/cue sheets.
- Content: Proofread and translate scripts/production materials from English to the local language.
- Logistics: Venue scouting, inspections, and preparing physical props and printed materials for each performance.

Show Running & Direction:
- QLab Management: Full ownership of the show-control via QLab 5, ensuring synchronized execution of all cues.
- Show Calling: Direct the live execution, coordinating the Staff Coordinator and actors (entry/exit cues) to ensure a seamless "run of show."
- Voting & Verdicts: Manage the digital/manual voting system, compile result documents, and coordinate the delivery of verdict envelopes to the judges/jury.
- Troubleshooting: Resolve technical issues in real-time to guarantee show fluidity.

WHAT WE ARE LOOKING FOR
- Experience: 2+ years in live entertainment, theater, or event production with a strong background in Show Calling and stage management.
- Tech Kit: Must own a Mac laptop and be fully autonomous in using QLab.
- Language: Native or bilingual proficiency in the local language (Hungarian) and proficient English (to liase with Italian team)
- Local Network: Deeply familiar with the local scene (venues, actor agencies, AV partners).
- Skills: High attention to detail, problem-solving mindset, and the ability to lead a local crew.

AVAILABILITY: Immediate start. Most of the work will be done between February and April. Further details will be given during the interview process.

Here’s a summary of the role:   

You’ll use your applied machine learning and generative AI skills to design and ship LLM powered product experiences that solve real problems for real users. You turn messy documents and complex language into smart assistants, agentic solutions, and search experiences that feel fast, reliable, and trustworthy. 

In this role you work end-to-end: framing problems, shaping prompts and workflows, orchestrating tools and retrieval, and partnering with engineers and product managers to bring modern AI into production. If you enjoy building with large language models and care deeply about evaluation, safety, and impact, you’ll feel at home here. 

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

• Design, prototype, and refine LLM based features over large document sets. 

• Orchestrate multistep, agentic workflows and tool calling (including MCP servers and other integrations) so LLMs can take meaningful actions, not just generate text. 

• Define evaluation frameworks, experiments, and metrics so you can measure model quality, relevance, and safety with confidence. 

• Use AWS services (i.e. AWS Bedrock) to deliver reliable, secure, and scalable AI capabilities. 

• Work closely with domain experts, PMs and software engineers to turn prototypes into reliable, production ready services. 

• Handle complex, domain specific text (e.g. legal, financial, or regulatory content) with a strong focus on accuracy, robustness, and privacy. 

• Communicate your findings clearly, share best practices, and stay up to date with the latest ML and AI research that can improve your solutions. 

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

• Hands-on experience building LLM powered applications or features (for example RAG systems, chatbots, assistants, agentic solutions or document centric workflows) — not just using chat interfaces. 

• Strong Python skills and everyday comfort with the modern data / AI ecosystem (e.g. pandas, NumPy, basic ML libraries, HTTP APIs, and SDKs for cloud AI services). 

• Practical experience with LLM powered solution design, evaluation, and iteration: you know how to test, compare approaches, and choose the one that works best with real data. 

• Familiarity with at least one cloud platform (ideally AWS) and building or contributing to services or pipelines that run in production. 

• A degree in Computer Science, Data/Applied Science, Mathematics, Statistics, or a related technical field, or equivalent practical experience. 
  
• Clear communication skills, collaborative mindset, and a genuine interest in learning, sharing knowledge, and iterating quickly based on feedback. 

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

• Experience designing and implementing agentic workflows (multistep reasoning, tool calling, planners) and/or building MCP servers or similar tool integrations. 

• Hands-on experience with AWS Bedrock or comparable platforms (model selection, configuration, guardrails, evaluation, and cost/performance trade-offs). 

• Experience with semantic search, vector databases, and information retrieval techniques in production systems. 

• Familiarity with observability and evaluation for LLM applications (e.g. logging, feedback loops, offline and online evaluation, safety checks). 

• Experience working with complex or regulated content such as legal, risk, compliance, financial, or governance documents. 

#LI-Hybrid

Position Overview: 

As a Senior Product Manager at Diligent, you will own your own product roadmap and drive the solution in the right direction by identifying market and customer needs and opportunities. You will be in direct contact with our customers to  understand their needs, bring in market insights and data, and communicate with internal stakeholders to ensure the right vision is achieved for individual solutions. This is a cross-functional role, delivering impactful solutions on our Diligent Platform.

Key Responsibilities

• Develop and implement the product strategy that align to the company vision and strategy.
• Responsible for the product(s) roadmap, from ideation to launch.
• Be the voice of the customer in our product team, by clearly communicating and sharing insights about our customers and how we can get their jobs done better.
• Serve as the leader of a cross-functional team of developers, UX designers, and stakeholders in Customer Success, Sales, and Marketing.
• Detailed understanding of functional capabilities and limitations, user scenarios, and business value derived for a product(s) and how they intersect with other Diligent products and 3rd-party products
• Delivery of high quality and on-time user experiences on multiple platforms (Mobile, Web, Desktop) for the target personas. 
• Responsible for creating and maintaining a prioritized backlog of user stories with clearly written user stories. 
• Develop and maintain a strong knowledge of the business domain, applying problem solving skills to address critical and complex issues to ensure the product evolves in light with the organizational strategy. 
• Responsible for the ongoing tracking of product performance, user engagement, and outcomes measurement.
• Monitor the external market landscape, including competitor analysis and market trends to inform the product roadmap. 

Required Experience/Skills:

• 4+ years’ experience in a product management role, including predominantly SaaS product experience in more recent years
• Excellent written and verbal communication skills and a strong business acumen.
• 1-3 years domain and market expertise
• Demonstrate experience in writing technical and functional requirements.
• Demonstrate experience interacting directly with stakeholders at all levels of the business.
• Demonstrate strong organizational skills and ability to coordinate with other development teams.
• Experience integrating with multiple products (desirable).
• Certified Scrum Product Owner or similar qualifications (desirable)

Position Overview

Diligent is looking for a Product Designer to support UX/UI design work within our dynamic and fast-moving product design team. Existing within the broader UX department, the design team oversees a range of projects providing the organization flexibility to explore future vision product work and support work that doesn’t align to product team roadmaps. 

Key Responsibilities

• Partner with the Product Design Lead and/or Project Owner to ensure design work aligns with project requirements and meets internal quality standards.
• Take ownership of the end-to-end design process - from early concepts to high-fidelity visuals and developer handoff.
• Work closely with fellow designers, Product Managers, Engineers, and cross-functional stakeholders.
• Design intuitive, human-centered experiences for data-driven and AI-assisted features.
• Clearly communicate design decisions, demonstrating a solid understanding of user needs, design best practices, and business goals.
• Conduct user research activities as needed.
• Support and contribute to a culture of ongoing learning and continuous improvement.

The person who will succeed in this role possesses:

• A genuine interest in making a difference by designing products that support better decision-making across companies, nonprofits, educational institutions, and communities.
• Is curious about how emerging technologies, including AI, can responsibly enhance user experiences.
• A strong passion for user-centered design and empathy for real user needs.
• An ability to take ownership of your work – you make decisions, defend them soundly, and hold yourself responsible for the outcomes they produce.
• A mindset geared toward action — you enjoy exploring problems, proposing solutions, and bringing ideas to life.
• A desire to work in a high-paced team environment where you have an opportunity to contribute and make a difference.
• A belief that great design starts with a team with a culture of design excellence and want to actively contribute to it.

The person who will succeed in this role possesses:

• A genuine interest in making a difference by designing products that support better decision-making across companies, nonprofits, educational institutions, and communities.
• A strong passion for user-centered design and empathy for real user needs.
• An ability to take ownership of your work – you make decisions, defend them soundly, and hold yourself responsible for the outcomes they produce.
• A mindset geared toward action — you enjoy exploring problems, proposing solutions, and bringing ideas to life.
• A desire to work in a high-paced team environment where you have an opportunity to contribute and make a difference.
• A belief that great design starts with a team with a culture of design excellence and want to actively contribute to it.

Required Experience/Skills:

• 3+ years of professional experience in UX or product design.
• Solid foundation in UX principles with a strong emphasis on visual design.
• Comfortable managing multiple design tasks and shifting priorities in a fast-paced environment.
• Portfolio showcasing user-centered design work and a thoughtful design process.
• Degree in design, technology, psychology, or equivalent practical experience.
• Some experience designing SaaS products, ideally in B2B or enterprise contexts.
• Exposure to product design cycles — from early exploration to launch and iteration.
• Proficient with modern design tools such as Figma, Sketch, or Adobe XD.
• Clear and effective communication skills, both written and verbal.
• Experience designing for web and mobile platforms.
• Familiarity with HTML/CSS is a strong plus.
• Bonus: Experience with illustration, iconography, or motion design.

A portfolio of work demonstrating your design process and passion for design – online or pdf is required for consideration!

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

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

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

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.