Job Closed

This listing is no longer active.

MLabs logo
MLabs

We are a Haskell, Rust, Blockchain and AI consultancy.

Full Stack Engineer

Full-stack EngineerSoftware EngineerOtherRemoteMid LevelTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

111 days ago

Salary

0

Seniority

Mid Level

English

Job Description

Full Stack Engineer

MLabs

Location: San Francisco or worldwide On-site/Remote | Full-time Compensation - Full Stack Engineer (remote Worldwide) -$100K – $180K • 0.05% – 0.25% - Full Stack Engineer (Onsite in San Francisco) - $140K – $200K • 0.05% – 0.25% - Senior Full Stack (Remote in the US) - $180K – $250K • 0.05% – 0.25% Our client is a high-growth security startup building the open-source infrastructure used by developers worldwide to manage sensitive configurations and credentials. Backed by premier Silicon Valley investors, the company is on a mission to simplify security for the AI era, currently supporting billions of secure transactions every month. The team are seeking an exceptional Full Stack Engineers and Senior Full Stack Engineers to join the team. In this role, you will work closely with the CTO to build, optimize, and expand the foundation of a global security platform. This position is ideal for an engineer who wants to be a defining piece of a team scaling toward massive market adoption over the next 18 months. Key Responsibilities - Full Stack Engineering: Build and optimize core platform features using modern web technologies. - New Product Development: Help expand specialized security offerings, including Public Key Infrastructure (PKI) and secure SSH access tools. - Security Innovation: Develop strategies for dynamic secret rotation and secure gateways to private resources. - Collaborative Design: Work directly with the CTO to make key technical decisions and establish the company's long-term technical roadmap. - Customer Engagement: Communicate directly with enterprise users to translate high-level security needs into production-ready features.

Job Requirements

  • Technical Mastery: Deep proficiency in React.js, Node.js, and TypeScript.
  • Location: Based in or willing to relocate to San Francisco for regular on-site collaboration, or able to work remotely worldwide
  • Startup Mindset: A proactive approach to problem-solving and the ability to take calculated risks in a fast-moving environment.
  • Eagerness to Learn: A high degree of curiosity regarding security protocols and developer infrastructure.
  • Preferred Qualifications:
  • Experience with Go.
  • Previous founder experience or early-stage startup background.
  • Experience with DevOps, developer tools, or open-source communities.
  • Excellent communication skills suitable for a high-transparency team environment.

Benefits

  • Compensation: Competitive salary ranges
  • Equity: Meaningful equity options (0.05% – 0.25%).
  • Perks: On-site lunch stipend and a dedicated budget for your professional work setup.
  • Growth: Opportunity for end-to-end ownership of major platform segments and rapid career advancement.
  • Community: Join a team of experts from elite backgrounds (AWS, Red Hat, etc.) with regular in-person gatherings and off-sites.
  • Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
  • Commitment to Equality and Accessibility:
  • At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
  • MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

Related Job Pages

More Full-stack Engineer Jobs

OtherRemoteTeam 51-200H1B No Sponsor

About Us Integrity Management Services, Inc. (IntegrityM) is an award-winning, women-owned small business specializing in assisting government and commercial clients in compliance and program integrity efforts, including the prevention and detection of fraud, waste and abuse in government programs. Results are achieved through data analytics, technology solutions, audit, investigation, and medical review. At IntegrityM, we offer a culture of opportunity, recognition, collaboration, and supporting our community. We thrive off of these fundamental elements that make IntegrityM a great place to work. Our small, flexible workplace offers an exceptional quality of life and promotes corporate-driven sustainability. We deliver creative solutions that exceed goals and foster a dynamic, idea-driven environment that nurtures our employees’ professional development. Large company perks…Small company feel! www.integritym.com Position Summary  IntegrityM is seeking a Chief Statistician to lead advanced analytics and statistical modeling efforts in support of complex healthcare data initiatives. This full-time leadership role will oversee predictive modeling, fraud detection analytics, and data mining activities while ensuring methodological rigor, regulatory compliance, and high-quality analytical outputs.  The ideal candidate combines deep statistical expertise with strong leadership capabilities and experience working with large healthcare datasets.  Key Responsibilities  • Lead development and validation of statistical models, predictive analytics, and advanced analytical methodologies.  • Oversee fraud detection and anomaly identification initiatives.  • Analyze complex healthcare data and translate findings into actionable insights.  • Establish model governance standards and documentation protocols.  • Supervise and mentor analytics staff.  • Communicate complex statistical findings to both technical and non-technical audiences.  • Ensure compliance with applicable data privacy and regulatory standards.

Virginia
Job Closed
Stellar Cyber logo

Staff Software Engineer

Stellar Cyber

Empowering lean security operations teams of any skill to successfully secure their environments. WE ARE HIRING!

OtherRemoteTeam 51-200H1B Sponsor

Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. In addition to some of the world’s largest enterprises and government agencies, more than 30% of the world’s top MSSPs rely on our platform. We’re at the forefront of protecting organizations against sophisticated cyber threats using cutting-edge AI and automation technologies. Our culture is built on diversity, openness, and collaboration, fostering creativity and innovation that drives real impact in the market. Position Overview We are looking for a highly skilled Staff Machine Learning Software Engineer with a passion for building robust and scalable systems to power Stellar Cyber’s Open XDR platform. In this role, you will be at the forefront of data-intensive cybersecurity and machine learning software architecture innovation, responsible for developing the foundational components that enable effective and efficient cybersecurity operations for our customers. Key Responsibilities - Design and implement scalable data processing components and supporting features for Stellar Cyber’s cybersecurity applications, including but not limited to, threat detections, incident correlation, threat intelligence, and asset management. - Candidates who successfully pass all the interviews will be assigned to a project area in need. - Monitor and resolve production stability issues related to the aforementioned components and features. - Collaborate closely with machine learning / security researchers, UI / UX, and product management to ensure the design and implementation to align with evolving product needs and business goals.

United States
Job Closed
MLabs logo

Full Stack Engineer

MLabs

We are a Haskell, Rust, Blockchain and AI consultancy.

OtherRemoteTeam 51-200H1B No Sponsor

Location: San Francisco or worldwide On-site/Remote | Full-time Compensation - Full Stack Engineer (remote Worldwide) -$100K – $180K • 0.05% – 0.25% - Full Stack Engineer (Onsite in San Francisco) - $140K – $200K • 0.05% – 0.25% - Senior Full Stack (Remote in the US) - $180K – $250K • 0.05% – 0.25% Our client is a high-growth security startup building the open-source infrastructure used by developers worldwide to manage sensitive configurations and credentials. Backed by premier Silicon Valley investors, the company is on a mission to simplify security for the AI era, currently supporting billions of secure transactions every month. The team are seeking an exceptional Full Stack Engineers and Senior Full Stack Engineers to join the team. In this role, you will work closely with the CTO to build, optimize, and expand the foundation of a global security platform. This position is ideal for an engineer who wants to be a defining piece of a team scaling toward massive market adoption over the next 18 months. Key Responsibilities - Full Stack Engineering: Build and optimize core platform features using modern web technologies. - New Product Development: Help expand specialized security offerings, including Public Key Infrastructure (PKI) and secure SSH access tools. - Security Innovation: Develop strategies for dynamic secret rotation and secure gateways to private resources. - Collaborative Design: Work directly with the CTO to make key technical decisions and establish the company's long-term technical roadmap. - Customer Engagement: Communicate directly with enterprise users to translate high-level security needs into production-ready features.

California
Job Closed
Full TimeRemoteTeam 10,001+H1B Sponsor

• design and implement platform solutions in the Innovation Lab • collaborate with cross-functional teams • develop cutting-edge technologies and frameworks • ensure seamless integration of diverse systems • proactively identify bottlenecks and performance issues • contribute to development processes and tools • streamline deployment pipelines • stay current with industry trends • mentor collaborative team members • create clear technical documentation

India
Job Closed