Staff Software Engineer (TypeScript)

1 мес. назад

HungaryEuropeLead

typescriptcloud-nativeai governance

Senior hands-on software engineer leading technical architecture and development of secure, scalable SaaS products leveraging AI.

О компании

is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster. 
Learn more at .com or follow us on  LinkedIn  and  Facebook
 
 
What Offers You  
Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
We care about our people.  offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
We have teams all over the world . We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place. 
Headquartered in New York, has offices in Washington D.C.,  London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney.  To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our office locations, you will be expected to  work onsite at least 50% of the time.  We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
 
We are a drug free workplace. is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also 's EEO Policy and Know You
At , we recognize the value of a diverse global workforce. Visa sponsorship may be available for select positions based on business needs and specific role requirements. Sponsorship decisions are evaluated on a case-by-case basis, and eligibility should not be assumed for all opportunities.
To all recruitment agencies: does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees or any other organization location. is not responsible for any fees related to unsolicited resumes.

Другое

Position Overview  
As a Staff Software Engineer, you'll provide technical leadership, raise engineering standards, and help teams build secure, scalable SaaS products that leverage AI. This is a hands-on senior individual contributor role that combines direct implementation with broad technical leadership, often spanning teams or high-complexity domains.  
You'll guide architecture, influence delivery across multiple teams, and help the engineering organization solve complex platform and product challenges with a strong focus on quality and resilience.  
Key Responsibilities  
Design and evolve robust cloud-native services and platforms, with end-to-end ownership from ideation and prototyping to deployment, monitoring, and iteration  
Influence technical direction without direct authority by identifying architectural pain points and improving engineering standards  
Partner closely with Product, Security, DevOps, and engineering leaders to align technical roadmaps with business priorities  
Own open-ended technical problems, define both the what and the how, and help teams make sound tradeoffs through ambiguity  
Establish and promote best practices for AI governance, observability, privacy, and operational controls within engineering workflows and production systems  
Mentor engineers across teams, support hiring and onboarding, and raise the bar on delivery quality and the practical use of AI  
Evaluate emerging technologies, frameworks, and tooling to improve developer productivity, system performance, and cost efficiency  
Continuously reduce system and operational complexity by simplifying architectures, clarifying boundaries, and removing unnecessary technical friction for teams  
Required Experience and Skills  
Strong software design and coding fundamentals, primarily in TypeScript, with Python experience also relevant  
Significant experience building on AWS, with service ownership across the software lifecycle  
Background in cloud-native platform engineering, including infrastructure-as-code, CI/CD, observability, and security best practices  
Meaningful experience with applied AI and agentic solutions, including model capabilities and tradeoffs, tool orchestration, retrieval-augmented patterns, responsible AI considerations, and cost-aware design  
Comfortable communicating complex technical and AI-related concepts to diverse stakeholders  
Degree in Computer Science, Engineering, Mathematics, or equivalent practical experience  
#LI-Hybrid