Location: Lagos, Nigeria
About Renmoney
Renmoney is a leading Nigerian financial institution committed to making financial services simple, accessible, and impactful for millions of individuals and small businesses.
We leverage technology, data, and innovation to provide lending, savings, payments, and emerging financial solutions that improve our customers' financial wellbeing. Our ambition is to build one of Africa's most trusted and customer-centric financial services platforms.
As we continue to scale, we are seeking an exceptional
Chief Financial Officer
to help shape our next phase of growth.
Please note that this is a Lagos-based executive role, requiring an on-site presence in Nigeria.
The Role
The Chief Financial Officer (CFO) is a key member of the Executive Committee and strategic partner to the CEO, Board, investors, and regulators.
The CFO is responsible for safeguarding the financial strength of the business while driving sustainable growth, capital optimisation, investor confidence, and long-term value creation.
The role provides leadership across Finance, Treasury, Financial Planning & Analysis (FP&A), Tax, Procurement, Investor Relations, Regulatory Reporting, Capital Management, and Financial Operations.
The successful candidate will build a high-performing finance organisation that delivers timely insights, enables effective decision-making, strengthens governance, and supports the company's strategic ambitions.
Key Responsibilities
Strategic Leadership
Serve as a trusted adviser to the CEO, Board, and Executive Committee on all financial and strategic matters.
Contribute to the development and execution of the Company's long-term strategy and growth plans.
Drive enterprise-wide performance management and ensure resources are allocated to the highest-return opportunities.
Provide strategic challenge and independent insight to support decision-making across all business functions.
Promote a culture of accountability, transparency, execution excellence, and value creation.
Financial Strategy & Performance
Lead the Company's financial planning, budgeting, forecasting, and performance management processes.
Develop financial models and strategic scenarios to support growth initiatives, product expansion, and investment decisions.
Deliver insightful management reporting and performance analysis to the Executive Committee and Board.
Establish clear profitability and return-on-capital metrics across products, channels, and customer segments.
Drive continuous improvement in forecasting accuracy and financial discipline.
Treasury, Funding & Capital Management
Develop and execute the Company's funding and capital strategy.
Ensure effective liquidity management and maintenance of adequate capital buffers.
Lead relationships with banks, institutional lenders, development finance institutions, investors, and funding partners.
Identify and execute opportunities to diversify funding sources and reduce cost of funds.
Monitor capital adequacy and ensure alignment with regulatory and growth requirements.
Support fundraising initiatives, including debt and equity transactions.
Investor Relations & Stakeholder Management
Build and maintain strong relationships with shareholders, investors, lenders, auditors, rating agencies, and key stakeholders.
Present financial performance, strategic initiatives, and funding opportunities to existing and prospective investors.
Ensure timely, accurate, and transparent communication with stakeholders.
Support future capital raising and strategic partnership opportunities.
Regulatory Compliance & Governance
Ensure full compliance with all regulatory, statutory, tax, and reporting requirements.
Maintain strong relationships with regulators, including the Central Bank of Nigeria and other relevant authorities.
Lead statutory reporting, annual audits, tax management, and financial governance activities.
Ensure effective internal controls, policies, and risk management frameworks are maintained and continuously improved.
Promote a strong control environment and a "no surprises" culture.
Business Performance & Analytics
Drive the use of data and analytics to improve commercial decision-making.
Establish robust business intelligence and management reporting capabilities.
Monitor business performance, portfolio profitability, customer economics, and operational efficiency.
Partner with Business, Risk, Product, Operations, and Technology teams to optimise financial outcomes.
Ensure financial insights are translated into actionable business decisions.
Portfolio & Risk Management
Work closely with Risk and Business teams to optimise portfolio growth and profitability.
Monitor portfolio quality, expected losses, provisioning, and risk-adjusted returns.
Evaluate the financial implications of credit, liquidity, operational, and market risks.
Support sustainable growth through disciplined balance sheet management.
Technology & Finance Transformation
Drive automation, digitisation, and continuous improvement across finance processes.
Ensure finance systems and reporting infrastructure support business scalability.
Improve reporting speed, quality, and accessibility through technology and data.
Lead finance transformation initiatives that enhance efficiency and effectiveness.
Leadership & Talent Development
Build, lead, and develop a high-performing finance organisation.
Foster a culture of accountability, ownership, continuous learning, and excellence.
Develop succession plans and strengthen leadership capability across the finance function.
Mentor and coach future finance leaders within the organisation.
Collaborate effectively across all business functions to achieve organisational goals.
Success Measures
Within the first 6–12 months, the CFO will be expected to:
Strengthen profitability and forecasting accuracy.
Improve capital efficiency and liquidity management.
Enhance management reporting and business insights.
Successfully execute funding and capital initiatives.
Strengthen investor, Board, and regulatory confidence.
Improve finance operational efficiency through automation and transformation.
Build a high-performing finance leadership team capable of supporting the Company's long-term growth ambitions.
Requirements
Education & Professional Qualifications
Bachelor's degree in Finance, Accounting, Economics, Business Administration, or a related discipline.
ACA, ACCA, CPA, CFA, or equivalent professional qualification required.
MBA or advanced business qualification is an advantage.
Experience
Minimum 5 years of experience in a CFO, Finance Director, Deputy CFO, or equivalent executive finance role.
Minimum 15 years of progressive finance leadership experience preferred.
Proven experience working in an international business environment.
Strong experience within financial services, banking, fintech, lending, payments, or consumer finance.
Demonstrated success managing large balance sheets, funding programmes, and regulatory relationships.
Proven experience leading fundraising and investor engagement initiatives; capital management experience is an advantage.
Experience driving finance transformation and organisational growth.
Key Competencies
Strategic & Commercial
Strong understanding of growth, profitability, and value creation drivers.
Ability to connect financial performance with business strategy is an advantage.
Leadership
Executive presence and credibility with Boards, investors, regulators, and senior stakeholders.
Strong influencing and stakeholder management skills.
Proven ability to build and lead high-performing teams preferred.
Technical Excellence
Deep knowledge of financial reporting, treasury, taxation, and regulatory requirements, with capital management expertise an advantage.
Strong financial modelling capability.
Experience with modern finance systems and data-driven decision-making.
Personal Attributes
Collaborative and able to work effectively across multiple functions.
Benefits
Visa sponsorship for the relocation to Lagos, Nigeria
Comfort: comprehensive health insurance, 25+ paid vacations and day-offs, personal development plan, annual performance review
Purpose: shape the future of fintech in Nigeria with products that reach millions, backed by a competitive salary and performance bonus
Growth: thrive in a fast paced work environment with flexibility, collaboration, and access to cutting-edge tools.
Join a diverse, inclusive team where all voices are valued, and professional growth is a priority.
Please note that this is a Lagos-based executive role, requiring an on-site presence in Nigeria; Visa sponsorship for the relocation to Lagos, Nigeria
Location: Dhahran, Saudi Arabia
Key Responsibilities
Support the planning and delivery of strategic transformation programs.
Coordinate with internal teams, business units, and external consultants.
Track project progress, identify risks, and prepare status updates for management.
Ensure projects align with the organization's strategy and target operating model.
Assist in developing business cases and project scopes.
Support the design of operating models and organizational structures.
Facilitate meetings, workshops, and stakeholder discussions.
Required Skills
Strong communication and presentation skills.
Good analytical and problem-solving abilities.
Experience with project management tools such as MS Project, Jira, Confluence, or Smartsheet.
Ability to manage stakeholders and external vendors.
Strong organizational skills and attention to detail.
Preferred Experience
Experience in large-scale business transformation or change management.
Knowledge of Project Management Consultant (PMC) environments.
Familiarity with Enterprise Architecture frameworks (e.g., TOGAF).
Required Certifications
PMP (Project Management Professional)
– Required
Preferred Certifications
PgMP (Program Management Professional)
CCMP (Certified Change Management Professional)
Education
Bachelor's degree in one of the following:
Project Management
Industrial Engineering
Business Administration (MBA is a plus)
Computer Science
Information Systems
Systems Engineering
Location: Dhahran, Saudi Arabia
Eram Talent
is seeking a highly analytical and detail-oriented
Program Controller
on behalf of our esteemed client in Dhahran. In this role, you will play a critical part in supporting enterprise-level strategic programs by driving financial oversight, program governance, performance tracking, and executive reporting.
The ideal candidate possesses strong financial acumen, expertise in dashboard design, and the ability to synthesize complex project data into actionable insights for senior leadership.
Key Responsibilities
Cost & Benefits Validation:
Support cost estimation, calculate estimated program benefits, and validate financial outcomes against business cases.
Program Governance & Management:
Apply strong program governance frameworks to support the planning, coordination, and execution of strategic enterprise transformation initiatives.
Dashboard Development:
Design, build, and maintain comprehensive performance dashboards tracking financial metrics, schedules, risks, and benefit realization.
Executive Reporting:
Synthesize complex program data into clear, concise, and visually compelling communication materials to facilitate executive decision-making.
Variance Analysis:
Conduct detailed variance analysis (cost vs. budget, schedule vs. plan) and propose proactive corrective action plans.
Risk & Issue Tracking:
Track program risks and issues within established governance frameworks, ensuring effective mitigation strategies are implemented.
Analytical & Quantitative:
Strong ability to interpret complex financial data, perform quantitative modeling, and deliver clear strategic insights.
Problem-Solving:
Proven ability to identify, analyze, and resolve cost overruns or budget deviations effectively.
Communication & Collaboration:
Excellent written and verbal communication skills with a strong track record of collaborating across Project Management and Finance teams.
Technical & Data Tools:
* Advanced proficiency in
Microsoft Excel
(Pivot tables, complex formulas, financial modeling).
Hands-on proficiency in
Power BI
,
Tableau
, or similar dashboarding tools.
Familiarity with project management platforms (e.g.,
MS Project, Jira, Confluence, Smartsheet
).
Attention to Detail:
High accuracy and precision in data analysis and financial reporting.
Requirements
Education:
Bachelor’s degree from an accredited institution in one of the following fields:
Finance
Accounting
Economics
Business Administration
Information Systems
Industrial Engineering (with a focus on Finance)
Academic Threshold:
Minimum GPA of
3.0 / 4.0
(or
4.0 / 5.0
equivalent).
Hands-on experience with
Earned Value Management (EVM)
principles.
Familiarity with tracking
Capital Expenditure (CapEx)
and
Operational Expenditure (OpEx)
.
Knowledge of
Enterprise Resource Planning (ERP)
systems for integrated financial tracking.
Preferred Certifications
Certified Cost Professional (
CCP
) or Certified Cost Technician (
CCT
)
Certified Financial Planner (
CFP
) or Certified Management Accountant (
CMA
)
Project Management Professional (
PMP
)
Microsoft Certified: Data Analyst Associate (
Power BI
)
Microsoft Office Specialist (
MOS
) – Advanced Excel
Location: Europe; United States
Workplace: Remote
ABOUT CANTINA:
Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!
ABOUT THE ROLE:
We are looking for an ML Engineer to own the production inference stack for our text-to-speech (TTS) and speech recognition (ASR) models, end to end. Our research team delivers trained model checkpoints; you will productionize them as low-latency, real-time streaming services that run cost-efficiently on GPUs. The role covers the inference engines, the Kubernetes infrastructure they run on, and the performance benchmarking and accuracy validation that let us ship changes safely. You will bridge research and production, and own latency, throughput, cost and accuracy as we scale.
WHAT YOU’LL DO:
- Build and optimize streaming inference engines for TTS and ASR models, including multi-stage model pipelines.
- Optimize latency (time to first chunk, p50/p99) and throughput using continuous batching, CUDA Graphs, torch.compile and mixed precision.
- Maintain numerical parity with the reference implementation through automated accuracy regression tests, per stage and end to end.
- Deploy and operate GPU inference services on Kubernetes: autoscaling, containerization and infrastructure as code.
- Build CI/CD for model artifacts, with model versioning and reproducible releases.
- Own observability and performance benchmarking: p50/p99 latency, real-time factor (RTF), GPU utilization and cost per request.
- Partner with research to productionize new models.
WHAT YOU’LL BRING:
- Hands-on experience deploying, scaling and optimizing ML models in production, beyond consuming model APIs.
- Working knowledge of the full inference stack, from CUDA kernels to serving frameworks, with depth in some layers; expertise across all of them is not expected.
- GPU performance optimization: profiling (Nsight Systems, PyTorch Profiler), memory bandwidth, CPU-GPU synchronization.
- Solid understanding of model serving: continuous batching, KV cache management, request scheduling.
- Production experience with Kubernetes, CI/CD and cloud infrastructure.
- Strong Python and PyTorch, and a rigorous approach to performance benchmarking.
- Experience with speech or audio models (TTS, ASR, voice conversion).
- Experience with inference frameworks such as vLLM (vLLM-Omni), SGLang, TensorRT-LLM, TensorRT or Triton Inference Server.
COMPENSATION:
When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.
BENEFITS FOR U.S.-BASED ROLES:
- Competitive salary and generous company equity
- Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina
- 42 days of paid time off, including:
- 15 PTO days
- 10 sick days
- 15 company holidays
- 2 floating holidays
- Generous parental leave & fertility support
- 401(k) retirement savings plan
- Lifestyle spending account – $500/month to use however you’d like
- Complimentary lunch and snacks for in-office employees
- One Medical membership, and more!
Location: White Plains, NY
QA Engineer
At Rectangle Health, we believe that our team members are our most important asset. We grow our team by hiring best-in-class talent. We encourage all employees to contribute their individual talents and ideas to strengthen our team, our brand, and our services. We promote a culture that serves to empower and motivate employees beyond the standard corporate rhetoric one might see on motivational posters. Employees understand their individual roles in serving our customers, and this clarity of purpose encourages high job performance.
Position Overview
If you are looking to align yourself with two of the largest growth industries: healthcare and technology, while joining one of the fastest-growing companies within those segments, Rectangle Health is the place for you!
We are seeking a highly skilled, detail-oriented, and self-directed QA Engineer with a strong background in automated UI and API testing. The ideal candidate will have 2–4 years of experience in quality assurance, with a proven track record of building and maintaining robust test automation frameworks. As a QA Engineer, you will be an essential part of our Engineering department, helping to maintain and improve the innovative solutions that thousands of healthcare providers rely on every day. Your work safeguards the quality and reliability of our products, giving the organization the confidence to deliver quickly without compromising the trust our customers place in us.
Beyond technical ability, we’re looking for someone who takes ownership, works proactively across teams, and follows through reliably once ramped up on their product area. Experience in the Payments domain and performance testing is a strong plus. You will receive the training, tools, and support to keep growing as a QA Engineer, including hands-on access to cloud environments and AI-assisted development tools.
Primary Job Duties:
Test Automation:
Design, develop, and maintain automated test scripts for UI and API testing across functional, regression, integration, and end-to-end coverage.
Test Planning & Strategy:
Contribute to test planning, test reviews, and the continuous improvement of QA processes: helping decide what to test, not just how to implement it.
Cross-Team Collaboration:
Collaborate with developers, product managers, and other QA engineers to understand requirements and ensure comprehensive test coverage.
Requirement Clarification:
Proactively follow up with product and engineering to clarify requirements when ticket or acceptance details are incomplete.
Defect Reporting:
Execute and analyze automated test results and report defects with detailed documentation.
CI/CD Integration:
Integrate automated tests into CI/CD pipelines.
Documentation Ownership:
Anticipate documentation needs and initiate them: test coverage, processes, and automation workflows.
Agile Collaboration:
Participate in sprint ceremonies and advocate for quality throughout the development lifecycle in a dynamic, fast-paced environment.
Minimum Qualifications:
2–4 years of experience in QA engineering with a focus on automation.
Proficiency in automated UI testing frameworks, preferably Playwright with JS/TypeScript.
Strong hands-on experience with API automation.
Solid understanding of QA methodologies, tools, and processes.
Experience with version control systems (e.g., Git) and CI/CD tools (GitHub Actions).
Experience working in an Agile/Scrum development environment.
Experience working with AI coding assistants (e.g., GitHub Copilot, Cursor, Claude) to accelerate test development and debugging.
Preferred Qualifications:
Experience in the Payments domain.
Exposure to performance testing tools (e.g., K6).
Knowledge of cloud platforms (e.g., AWS).
What We’re Looking For:
Works independently once onboarded and manages priorities with minimal oversight.
Proactive — anticipates needs and moves work forward without waiting to be prompted on every step.
Collaborates effectively across engineering, product, and QA teams.
Highly organized, with strong follow-through and ownership of work through completion.
Resourceful — uses available documentation, tools, and data to find answers and gather information independently.
Receptive to feedback and committed to continuous learning and growth.
Compensation & Benefits:
$90,000 – $115,000 (commensurate with experience)
Competitive Medical Health Plans, Low, Mid, High.
Employer Paid
Low Medical Plan for Employee & Dependents (HSA Eligible)
Employer Paid
Dental & Vision for Employee
Employer Paid
Life Insurance for Employee
Employer Paid
Long-term Disability
for Employee
Employer Paid
Hospital Confinement for Employee ~ (If enrolled in Medical)
+ Voluntary Supplemental Insurance Coverage Options
15 days PTO &
7 Sick Days Annually
10 Fixed Paid Holidays Off Annually
401(k) Matching up to 3%
About Us:
Rectangle Health, a leading financial technology company, empowers medical, dental and specialty practices with seamless and secure technology to drive revenue by increasing patient payments and streamlining practice management and payment processing. Since 1992, the company’s innovative solutions have reduced administrative burden and rebalanced the ledger for its thousands of healthcare providers in the U.S., reliably processing billions of dollars in payments annually.
View our CCPA disclosure notice here
Location: Montreal, Canada
The Satellite-Level Verification and Validation (V&V) Engineer focuses on the highest tier of spacecraft integration, ensuring the fully assembled satellite meets all mission, launch provider, and environmental requirements.
Role Overview
This role manages the
end-to-end verification lifecycle
at the highest tier of architecture. It starts at the beginning of the program with verification planning and test methodology design, continues through full-system functional and environmental validation, and concludes with final qualification sign-off and in-orbit initialization readiness.
Key Responsibilities & Tasks
Verification Architecture & Matrix Ownership:
Define the global verification strategy; author the System Verification Plan (SVP) and own the master Verification Control Matrix (VCM) to prove 100% requirement compliance.
Method of Compliance (MoC) Definition:
Determine the optimal, most cost-effective blend of Verification by Test, Analysis, Demonstration, and Inspection (TADI) for complex mission-level requirements.
End-to-End Mission Validation:
Design and execute full-system functional tests, "Day-in-the-Life" (DITL) mission simulations, and complex Fault Detection, Isolation, and Recovery (FDIR) validation scenarios.
Environmental & Launch Qualification:
Define test profiles, pass/fail criteria, and post-test correlation frameworks for full spacecraft environmental campaigns (Thermal Vacuum, Sine-Vibe, Acoustic, Shock).
Sign-off & Qualification Review:
Lead Technical Review Boards, manage non-conformance reports (NCRs), present compliance evidence at Qualification Reviews (QR), and build the final Flight Readiness data package.
Candidate Prerequisites ("Must Haves")
Experience:
5+ years in aerospace systems engineering, systems V&V, or space mission qualification roles.
Systems Engineering Mastery:
Deep understanding of how platform subsystems and digital/RF payloads interact to satisfy top-level mission performance metrics.
Requirements Management:
Expert-level capability in tracing, decomposing, and closing out complex requirements using enterprise tools like DOORS, Jama, or Windchill.
Data Synthesis & Analysis:
Advanced skills using Python or MATLAB to parse multi-subsystem telemetry, correlate test data with analytical models, and automate post-test verification reporting.
Location: San Francisco; New York City
Perplexity is looking for a Design Engineer to help turn perplexity.com http://perplexity.com into a real growth engine, not a pile of one-off pages. You'll sit shoulder to shoulder with brand designers, PMMs, growth, and content teams, shipping product launch pages, campaign landing pages, and the components and tooling that let those teams move fast without lowering the bar.
This is a hands-on role for someone with real taste, sharp attention to detail, and the speed to turn a Figma file, a Slack thread, or a rough sketch into a polished, shipped page quickly.
Tech stack: React, TypeScript, Tailwind CSS, Sanity
WHAT YOU'LL DO
- Ship product launch pages and evergreen marketing pages for products like Comet, Computer, Deep Research, Search, and Hub. Own the work from Figma handoff to production.
- Partner with brand designers to build interactive experiences that make the site feel alive and drive engagement.
- Maintain and extend our brand design system and component library, keeping Figma and production in sync so brand and creative can scaffold pages with guardrails.
- Work closely with the paid ads and growth teams to run A/B tests on landing pages, popups, and upsell modules. Read the results, then iterate.
- Migrate the leftover Framer collections to Sanity, model schemas that non-engineers can actually use, and help ship new content types like changelog, customer stories, and academy pages.
- Design and unblock yourself when design resources are constrained. You can take a rough direction and turn it into something worth shipping.
- Improve the tools around the work: CMS workflows, i18n, SEO, experimentation, and internal tooling for marketing self-serve. If a manual process is slowing the team down, you should want to fix it.
WHAT YOU NEED
- 3+ years of experience as a front-end or design engineer, ideally on a marketing or growth site.
- A portfolio site that shows your previous work on marketing sites and design work.
- Strong skills in React, CSS, and modern frameworks.
- Deep understanding of responsive design and design-to-code workflows. You know what the platform can do and you stay current on what's new.
- Experience maintaining a reusable component library and sweating the design details in code.
- A real eye for design. You can tell the difference between "almost right" and "actually right," and your work reflects it.
- Attention to detail that shows up unprompted. The 2px misalignment, the wrong easing curve, the widow at the end of the paragraph.
- Stellar communication skills and a track record of working effectively in cross-functional teams. You can defend a decision, push back constructively, and explain trade-offs to non-technical stakeholders.
- Desire to work in a fast-paced environment, continuously grow, and master your craft.
NICE TO HAVE
- Experience running A/B tests and reading experiments results in a growth context.
- Knowledge of SEO principles, structured data, and localization workflows.
- Experience with web animations (GSAP, Motion, Web Animations API), 3D libraries, or interactive storytelling.
- Experience working with a headless CMS (Sanity, Contentful).
- Experience building internal tools or AI-assisted workflows that made a marketing or design team faster.
Location: New York, New York, United States
About the Role
iCapital’s Distributed Ledger Technology team is looking to hire a Senior Blockchain Backend Engineer to develop an industry-wide distributed ledger solution for the alternative investment ecosystem to facilitate access to private markets investments for advisors and their high-net-worth clients using innovative technology solutions. The ideal candidate is able to understand complex business problems, scope projects, identify business opportunities, optimize workflows, and communicate their findings across all levels of the organization. This role is highly visible and involves working closely with other teams in Engineering, Product, senior leadership, and industry partners.
Responsibilities
Design and implement a private and permissioned distributed ledger using DAML or Canton and other open source blockchain frameworks.
Build and maintain a RESTful API using Python and FastAPI.
Provide technical leadership to motivate and guide team members and mentor junior engineers.
PArticipate in daily stand-up meetings and peer code reviews as part of the standard SDLC.
Stay current with the latest developments in blockchain technology and incorporate them into the iCapital ecosystem.
Qualifications
9+ years software engineering experience building enterprise SaaS cloud-based solutions
3+ year technical leadership and management experience
Experience with DAML, Solidity, or other blockchain programing languages
Experience with Python, Toke and FastAPI
Demonstrated understanding of relational database concepts and modeling practices
Experience building APIs for large scale applications using AWS
Benefits
The base salary range for this role is $150,000 to $200,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: New York, New York, United States
About the Role
The Backend Engineer at iCapital will play an integral role in designing and implementing systems that power the iCapital platform. We are looking for engineers who can build APIs and applications that are highly performant and intuitive. More than checking the boxes on specific technologies, we are looking for driven team members with technical depth and a desire to deliver end products for our clients.
You will work closely with our Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found via testing.
Our platform sits on top of a micro-services architecture with services built in Scala, Ruby, Node.js and Python. If you are not already familiar with the technologies used at iCapital, you will have the opportunity to pick up these new tools and technologies while on the job—with support from management and mentors.
Responsibilities
Building cloud native services using Scala using open-source frameworks Akka, ZIO etc.
Unit and integration test development using Scala Test and ZIO Test
Active participation in stand-up meetings
Active participation in Peer Code Reviews as part of our standard SDLC and Change Management Process
Qualifications
Degree in Software Engineering
5+ years of web-based application development
Experience in Scala, Node.js or Java a plus
Demonstrated understanding of relational or NoSQL database concepts and modeling practices
Passion for actively learning new technologies
Ability to work independently or as part of a group effort, as required
Solid problem-solving abilities
Excellent communication skills
Collaborative approach to software development
Benefits
The base salary range for this role is $130,000 to $170,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes.
We're looking for a software engineer to join our Access & Governance team and help build the next generation of security and governance experiences on Render. As AI agents become more prevalent and organizations scale on Render, you'll help shape how customers securely manage access, protect their applications, and maintain visibility and control over their infrastructure.
This is a product-focused engineering role where you'll solve complex platform challenges while building intuitive, customer-facing experiences that make security simple and accessible to developers.
WHAT YOU'LL DO
- Design and ship customer-facing security and governance products, owning the experience end to end, from intuitive interfaces and APIs to the underlying backend systems.
- Build foundational platform capabilities that help developers, teams, services, and AI agents securely access and operate on Render.
- Tackle challenging engineering problems involving distributed systems, authorization, scalability, and reliability while keeping the customer experience simple.
- Partner closely with Product, Design, and other engineering teams to translate complex customer needs into elegant, impactful product experiences.
- Help evolve and operate critical platform systems, ensuring high standards for correctness, performance, observability, and safe rollouts.
WHAT WE'RE LOOKING FOR
- 6+ years of experience shipping and operating production systems.
- Experience building and shipping customer-facing platform products, with a strong appreciation for intuitive UX, well-designed APIs, and end-to-end product ownership.
- Strong technical fundamentals and experience designing reliable, scalable systems, including navigating complex APIs, data models, and architectural tradeoffs.
- A product-minded approach to engineering, with the ability to balance technical complexity, customer experience, and business impact.
- A track record of driving ambiguous projects from concept to production while collaborating effectively with Product, Design, and Engineering.
We care more about the systems you've built and the decisions you made than whether your last role had a "security" title.
NICE-TO-HAVES:
- Hands-on experience with OAuth, OpenID Connect, SAML, SCIM, JWTs or other authentication methods.
- Experience with multi-tenant authorization models such as RBAC, ABAC, or ReBAC, including policy engines or fine-grained authorization systems.
- Experience with workload identity, short-lived credentials, secrets management, privileged access, or security controls for services and agents.
- Experience building developer platforms, cloud infrastructure, identity product or SaaS products where APIs and backwards compatibility matter.
- Familiarity with compliance frameworks such as SOC 2 or ISO 27001 and an ability to turn those requirements into security improvements for all customers.
- Contributions to open-source auth/security tooling.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
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Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. Our wearable technology provides personalized insights that help millions of members better understand their bodies, and make smarter decisions about training, recovery, and lifestyle.
WHOOP is seeking a Security Architect to help build and scale the Security Architecture function within the Information Security organization. This role will play a foundational part in defining how security architecture is practiced across the company by establishing standards, governance, reusable design patterns, and trusted partnerships with engineering teams.
The successful candidate will bring broad technical expertise across application, infrastructure, cloud, and enterprise security while building strong relationships throughout the organization. They will help create practical security standards, influence technical strategy, mentor engineering teams, and enable the business to move quickly without compromising security. This role requires someone who enjoys working with people as much as solving technical problems and can translate complex security concepts into clear, actionable guidance. Working closely with the Security Architecture Lead and the broader CISO organization, this individual will help shape the long-term vision and operating model for Security Architecture at WHOOP.
RESPONSIBILITIES
- Partner with Engineering, Product, Infrastructure, IT, and Security teams to provide architectural guidance throughout the software development lifecycle, ensuring security is incorporated early into design decisions.
- Help establish and mature WHOOP's Security Architecture practice by defining architecture governance, review methodologies, security standards, and engagement models that scale with the organization.
- Develop and maintain security architecture principles, standards, reference architectures, and reusable design patterns that enable engineering teams to build secure systems consistently.
- Review application, cloud, infrastructure, AI, and enterprise technology initiatives to identify architectural risks, validate security controls, and recommend practical mitigation strategies.
- Lead architecture reviews and collaborate with engineering teams on threat models, trust boundaries, data flows, identity patterns, secure service-to-service communications, and security design decisions.
- Provide technical leadership across application security, cloud security, infrastructure security, API security, identity and access management, secrets management, network security, and data protection.
- Work closely with Product Security, Infrastructure Security, and Engineering teams to establish consistent security expectations across new products, internal platforms, and third-party integrations.
- Evaluate the security architecture of strategic vendors and technology solutions as part of WHOOP's Third-Party Risk Assessment process.
- Translate regulatory and compliance requirements—including HIPAA, PCI DSS, ISO 27001, SOC 2, and NIST frameworks—into practical engineering guidance and architectural controls.
- Mentor engineers and security team members on secure design principles, helping raise the organization's overall security maturity through collaboration, education, and trusted technical leadership.
- Produce clear architectural documentation, technical standards, design reviews, and implementation guidance that can be consistently applied across engineering teams.
- Partner with Security leadership to define the long-term vision, operating model, roadmap, and success metrics for Security Architecture as a strategic capability within the Information Security organization.
- Serve as a trusted advisor to engineering and business leaders, balancing security, operational efficiency, and business objectives while promoting a secure-by-design culture across WHOOP.
QUALIFICATIONS
- 8–12+ years of experience in security architecture, application security, cloud security, infrastructure security, or senior security engineering roles supporting modern distributed systems.
- Demonstrated experience designing and securing cloud-native applications and infrastructure, with deep knowledge of AWS security services and modern cloud architecture.
- Strong understanding of application security, secure software development, infrastructure security, cloud security, API security, identity and access management, enterprise networking, and modern security architecture principles.
- Previous software engineering or application development experience with the ability to understand application design, architecture, implementation tradeoffs, and engineering workflows.
- Experience performing architecture reviews, security design assessments, and threat modeling for complex distributed systems.
- Familiarity with healthcare, regulated environments, or security programs supporting HIPAA, PCI DSS, ISO 27001, SOC 2, NIST 800-53, or similar regulatory and compliance frameworks.
- Ability to balance security requirements with business objectives and provide practical, risk-based recommendations that engineering teams can successfully implement.
- Exceptional interpersonal, written, and verbal communication skills with a proven ability to build trust, influence technical decisions, and collaborate effectively across engineering, product, IT, and security organizations.
- A collaborative, approachable, and service-oriented mindset with the ability to establish strong working relationships across teams and become a trusted partner to engineers and technical leaders.
- Comfortable working independently while helping establish new security processes, standards, governance models, and architectural practices in a growing organization.
- High integrity, sound judgment, intellectual curiosity, and a pragmatic, solution-oriented approach to solving complex security challenges.
- Professional security certifications such as CISSP, CCSP, AWS Certified Security – Specialty, GIAC, TOGAF, or equivalent are considered a plus.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $155,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: New York, New York; New York City Metropolitan Area; New Jersey; Connecticut; San Francisco Bay Area, California
Workplace: remote
About the role:
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move.
We’re an
Anthropic and AWS Partner
with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name
What You’ll Do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice
What We Look For:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses)
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production
IaC depth: AWS CDK, CloudFormation, Terraform
Open-source contributions or public writing on applied AI
What We Offer:
Full-time employment
On-site visits to clients’ facilities and our office in NYC 1/week
Unlimited Vacation policy
Generous health, vision, and dental insurance
401(K) matching plan
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data
No Visa sponsorship
How We Hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
4. Soft skills interview.
5. Offer discussion.
We’re real:
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO
Location: New York; Massachusetts; Washington DC-Baltimore Area; Pennsylvania
Workplace: remote
About the role:
We’re an
Anthropic and AWS Partner
with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name
What You’ll Do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice
What We Look For:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses)
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production
IaC depth: AWS CDK, CloudFormation, Terraform
Open-source contributions or public writing on applied AI
What We Offer:
Full-time employment
On-site visits to clients’ facilities and our office in NYC 1/week
Unlimited Vacation policy
Generous health, vision, and dental insurance
401(K) matching plan
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data
No Visa sponsorship
How we hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
4. Soft skills interview.
5. Offer discussion.
We’re real:
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO
Location: Ho Chi Minh City, Vietnam
Top 3 Reasons To Join Us
International Environment
Working on the latest tech for the Insurtech Market Leader
Competitive remuneration package
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
About the Role
As the Lead Full Stack Engineer at CoverGo, you will play a pivotal role in driving the technical direction and execution of our innovative insurance enterprise software solutions. Lead and mentor a team of talented engineers, guiding them through the design, development, and maintenance of our SaaS platform. Collaborate closely with stakeholders to understand business requirements, architect scalable solutions, and ensure the delivery of high-quality software. Stay abreast of emerging technologies, advocate for best practices, and foster a culture of innovation and excellence within the engineering team.
What You Will Do
Lead the end-to-end development lifecycle of our SaaS platform, from design and implementation to deployment and maintenance, ensuring alignment with business objectives and technical requirements.
Provide technical leadership and mentorship to a team of Full Stack Engineers, fostering their growth and development through coaching, feedback, and knowledge sharing.
Collaborate closely with product managers, designers, and other stakeholders to translate business requirements into technical solutions, prioritizing features and enhancements based on impact and feasibility.
Drive architectural decisions and establish coding standards and best practices to ensure the scalability, reliability, and maintainability of the platform.
Conduct thorough code reviews, enforce quality standards, and promote a culture of continuous improvement through the adoption of testing methodologies and automation.
Proactively identify technical debt, scalability bottlenecks, and areas for optimization, leading initiatives to address them and improve overall system performance.
Champion security and compliance initiatives, ensuring adherence to industry regulations and best practices, and driving the implementation of robust security measures.
Stay updated with the latest trends, technologies, and best practices in software development, evaluating their potential impact and relevance to our platform, and advocating for their adoption where appropriate.
What We Need
Demonstrated leadership experience in a technical role, with a track record of successfully leading and mentoring engineering teams in the development of complex SaaS applications.
Extensive hands-on experience with Full Stack development using Node.js and related technologies, with a minimum of 8 years of relevant experience.
Proficiency in front-end and back-end technologies such as Node.js, Vue.js, GraphQL, MongoDB, Docker, and TypeScript.
Strong expertise in cloud platforms such as AWS, Azure, or Google Cloud, with experience in architecting and deploying scalable and resilient applications.
In-depth knowledge of Test-Driven Development (TDD) methodologies, unit, integration, and functional testing, and experience with testing frameworks and automation tools.
Solid understanding of Object-Oriented Programming (OOP) principles, SOLID principles, and design patterns, with practical experience in their application.
Thorough understanding of web security best practices and experience in implementing security measures and ensuring compliance with industry regulations.
Familiarity with container technologies like Docker and proficiency in cloud infrastructure and solutions.
Experience with Nest.js is a plus.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
Proven ability to prioritize and manage multiple projects simultaneously, with a proactive and results-oriented approach.
Passion for continuous learning and professional development, with a keen interest in staying updated with emerging technologies and industry trends.
Why You'll Love Working Here
Hybrid Work Model
15 Days Annual Leave
13th-month Pay
Annual Performance Bonus
Health Insurance
Stock Options after 6 months
Company activities and events
Learning and development plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Ho Chi Minh City, Vietnam
Top 3 Reasons To Join Us
Competitive Salary
International Environment
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
About the Role
As the Lead Full Stack Engineer, you will take on a pivotal role in guiding the design, implementation, and maintenance of our innovative SaaS platform. You will provide technical direction to the team, working across both front-end and back-end technologies, ensuring scalable and efficient software solutions. Collaborate closely with cross-functional teams to understand end-user requirements, optimize application performance, and enforce best coding practices. Your role will encompass mentoring junior developers, driving innovation, and ensuring the continuous growth and success of our platform.
What You Will Do
Lead the design, implementation, and maintenance of our insurance enterprise software solutions, providing technical direction to the team.
Demonstrate expertise in both front-end and back-end technologies, offering guidance on technology selection, architecture, and best practices.
Collaborate with product, design, and engineering teams to understand requirements and technical concepts, ensuring cohesive and effective solutions with a seamless user experience.
Optimize platform performance to handle large datasets and high user traffic, ensuring a smooth and responsive user experience.
Conduct and lead code reviews, enforce best coding practices, and drive the adoption of standards to maintain high code quality.
Investigate and promptly address bugs to uphold platform reliability.
Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations.
Stay abreast of the latest technologies, frameworks, and best practices, guiding the team in remaining competitive and innovative.
Design the platform with scalability and flexibility, accommodating evolving features and changes as the user base grows.
Provide mentorship and technical leadership to junior developers, fostering their growth and contribution to the team's objectives.
What We Need
Proven experience of 8+ years as a Full Stack Engineer, with a track record of leading complex SaaS applications.
Minimum 2 years in a lead/manager role, able to guide and ensure development of teams
Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker
Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js
Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications
Experience with microservices and/or clean architecture
Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code
Experience with unit, integration and function testing using front-end and back-end testing libraries
Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains
In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations
Demonstrated experience in performance optimization for high-traffic web applications
Experience with container technologies like docker and good understanding of cloud infrastructure and solutions.
Experience with agile development methodologies and collaborating with cross-functional teams
Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing
Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds
A passion for staying updated with the latest trends, technologies, and best practices in software development
Why You'll Love Working Here
International Environment
Competitive remuneration package
Hybrid Work Model for those in Ho Chi Minh City; Remote working for those outside Ho Chi Minh City
15 Days Annual Leave
13th-month Pay
Annual Performance Bonus
Stock Options after 6 months
Health Insurance
Company activities and events
Learning and development plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
VP of Research (Machine Learning)
to define and lead the research direction behind its AI platform. This leadership role will shape how AI systems reason, learn, evaluate, and continuously improve within a product designed for high-frequency, real-world usage.
Working closely with product and engineering leadership, this position will drive the long-term intelligence strategy, balancing cutting-edge research with practical production impact.
Key Responsibilities
Define and evolve the research roadmap for the platform's core AI intelligence, including context representation, memory, reasoning, planning, and orchestration.
Evaluate and determine when to develop proprietary model architectures versus leveraging or adapting frontier open-source and commercial AI models.
Design evaluation frameworks that measure real-world performance, robustness, safety, and long-term system behavior beyond traditional benchmark metrics.
Lead the company's AI alignment, safety, and guardrail strategy as a core component of product development.
Drive research and experimentation across advanced machine learning techniques, including:
Retrieval-Augmented Training (RAG)
Mixture of Experts (MoE)
Model Distillation
Multi-Agent Orchestration
Multimodal AI Systems
Partner closely with product and engineering teams to define and execute the intelligence strategy for AI-powered applications.
Establish and maintain high standards for research quality, technical judgment, and engineering excellence across the organization.
Requirements
Extensive experience designing, building, and deploying machine learning systems in production environments.
Strong technical expertise in model behavior, failure analysis, system evaluation, and long-term AI performance.
Proven ability to translate advanced research into reliable, production-ready AI solutions.
Demonstrated experience making high-impact technical decisions in fast-moving and ambiguous environments.
Deep understanding of AI evaluation methodologies, model robustness, safety, and system reliability.
Strong ownership mindset with the ability to lead technical strategy and execution.
Passion for building practical AI systems that deliver measurable real-world impact rather than focusing solely on academic research or benchmark performance.
Preferred Technical Skills
Experience with the following technologies is preferred:
Python
PyTorch and/or JAX
GPU-based model training and inference systems
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
Technical Lead, Machine Learning
to lead the execution of its AI platform by translating research into scalable, production-ready machine learning systems. This role sits at the intersection of research, infrastructure, and product, with responsibility for ensuring models are trainable, deployable, observable, and optimized for real-world performance.
Working closely with research, engineering, and product teams, this position will drive the development of robust ML infrastructure while balancing performance, reliability, latency, and cost.
Key Responsibilities
Lead the end-to-end execution of machine learning systems, including data pipelines, training workflows, evaluation frameworks, inference architecture, and production deployment.
Fine-tune and optimize models using modern techniques such as
LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation
.
Design, build, and operate scalable inference systems with a focus on latency, cost efficiency, and reliability.
Develop and maintain data pipelines for both synthetic and real-world training datasets.
Build evaluation frameworks to measure model performance, robustness, safety, and bias in collaboration with research teams.
Optimize production deployments through GPU utilization, memory efficiency, inference optimization, and scaling strategies.
Partner closely with application engineering teams to integrate machine learning systems into backend, desktop, and mobile products.
Continuously improve production systems through rapid iteration, monitoring, and data-driven optimization.
Requirements
Proven experience building and deploying production-grade machine learning systems used by real users.
Strong expertise working with large language models and understanding model behavior, limitations, and failure modes.
Experience developing scalable ML infrastructure, training pipelines, and inference systems.
Strong software engineering skills with the ability to write maintainable, production-quality code.
Experience balancing real-world production constraints, including latency, reliability, scalability, cost, and safety.
Strong ownership mindset with the ability to independently drive technical initiatives from design through deployment.
Excellent communication and collaboration skills, with experience working in cross-functional, high-performing engineering teams.
Preferred Technical Skills
Experience with the following technologies is preferred:
Python
PyTorch and/or JAX
GPU-based model training and inference systems
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
Principal Machine Learning Engineer
to build and deploy production-grade machine learning systems that power its AI platform. This role focuses on translating research into scalable solutions by developing robust training pipelines, inference systems, evaluation frameworks, and deployment infrastructure.
Working closely with research and application engineering teams, this position will play a key role in delivering reliable, high-performance ML systems that operate effectively under real-world production constraints.
Key Responsibilities
Build and own end-to-end machine learning pipelines covering data processing, model training, evaluation, inference, and deployment.
Fine-tune and adapt models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation.
Design and operate scalable inference systems while balancing latency, cost, and reliability.
Develop and maintain data pipelines for both synthetic and real-world training datasets.
Build evaluation frameworks to assess model performance, robustness, safety, and bias in collaboration with research teams.
Optimize production deployments through GPU optimization, memory efficiency, latency reduction, and scaling strategies.
Collaborate with application engineering teams to integrate machine learning systems into backend, mobile, and desktop applications.
Continuously improve ML systems through rapid iteration and real-world performance monitoring while balancing production constraints such as latency, cost, reliability, and safety.
Requirements
Strong background in deep learning and transformer-based architectures.
Hands-on experience training, fine-tuning, or deploying large-scale machine learning models in production.
Proficiency with modern machine learning frameworks such as
PyTorch
or
JAX
.
Experience with distributed training and inference frameworks, including technologies such as
DeepSpeed, FSDP, Megatron, ZeRO, or Ray
.
Strong software engineering skills with experience building robust, maintainable, production-grade systems.
Experience optimizing GPU workloads, including memory efficiency, quantization, and mixed precision.
Ability to independently own end-to-end machine learning systems in fast-moving environments.
Strong problem-solving skills with a focus on rapid iteration and continuous improvement.
Preferred Qualifications
Experience with one or more of the following is preferred:
LLM inference frameworks such as
vLLM, TensorRT-LLM, or FasterTransformer
Open-source contributions to machine learning or systems libraries
Scientific computing, compiler technologies, or GPU kernel development
Reinforcement Learning from Human Feedback (RLHF) pipelines, including
PPO, DPO, or ORPO
Training or deploying multimodal or diffusion models
Large-scale data processing frameworks such as
Apache Arrow, Spark, or Ray
Dhahran, Saudi Arabia
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