Software Engineering Manager (Hands On)

3 мес. назад

United KingdomEuropeLead

typescriptawsmicroservicesapi

Hands-on engineering manager leading teams to build secure, scalable software with AI-enabled methods.

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.

Обязанности

Lead a strong engineering team, deliver software that matters, and help people do the best work of their careers. This is a hands-on team management role for someone who enjoys combining people leadership, technical fluency, and modern AI-enabled ways of working to build reliable products at scale.
You’ll lead engineers building secure, scalable microservices and APIs using TypeScript and AWS. You’ll partner closely with Product, Security, DevOps, and peer engineering leaders to deliver roadmap outcomes, improve team effectiveness, and create an environment where engineers can grow, own their work, and build high-quality systems with confidence.

Будет плюсом

Exposure to hiring, organizational planning, or broader cross-team delivery initiatives.
Experience helping teams adopt AI-assisted development tools or AI-enabled product capabilities in a practical and responsible way.

Другое

Lead, coach, and support a team of engineers, creating clarity around priorities, ownership, expectations, and growth goals.
Partner with Product, Security, DevOps, and peer engineering leaders to plan and deliver roadmap commitments while balancing quality, pace, and sustainability.
Create a healthy delivery environment by improving team processes, removing blockers, supporting planning and estimation, and reinforcing strong engineering practices.
Maintain enough technical depth to guide design discussions, challenge risks, review trade-offs, and support the team in building secure and maintainable systems.
Use AI tools and encourage responsible AI-assisted ways of working that improve productivity while protecting privacy, security, quality, and good judgment.
Support hiring, feedback, performance conversations, and career development so the team continues to grow in capability and confidence.
8 or more years of software engineering experience, including experience leading projects and supporting or managing engineers in an agile product environment.
Experience managing teams that build cloud-native microservices in AWS.
Strong people leadership skills, with experience coaching engineers, building accountability, and helping teams plan and deliver effectively.
A solid technical background in backend engineering, including Node.js, TypeScript, AWS, APIs, and production systems supported by SQL or NoSQL data stores.
Good understanding of CI/CD, observability, incident support, and modern engineering practices such as Docker-based workflows and infrastructure as code.
Practical understanding of AI-enabled engineering and product use cases, including common LLM concepts and considerations such as privacy, security, bias, governance, and cost.
Clear communication skills, with the ability to work effectively with engineers, product managers, and senior stakeholders.
A quality, security, and delivery mindset, with the judgment to balance business outcomes, team health, and sustainable engineering practices.