Design and deliver clean, scalable, and testable Java-based backend systems with minimal supervision, taking ownership of specific services within a large-scale architecture.
Responsibilities
Design and deliver clean, scalable, and testable Java-based backend systems with minimal supervision
Collaborate with cross-functional teams including backend, web, mobile, QA, and product teams
Take ownership of specific services or functional areas within our large-scale architecture
Leverage AI tools and assistants as integral parts of your development workflow—from system design to code review
Contribute to maintaining high test coverage, predictable production behavior, and seamless scalability
Senior Software Engineer to join our growing engineering team in Singapore. You'll take ownership of designing, building, and maintaining critical software systems that power our internal experimentation platform and serve millions of users across the region.
Responsibilities
Design and build scalable, maintainable solutions that support platform growth and reliability
Deliver well-tested code and uphold engineering standards across the team
Collaborate with product, design, and backend teams to turn business needs into solutions
Improve system performance, reliability, observability, and engineering quality through optimization and refactoring
Contribute to technical design, architecture, and code reviews
Requirements
Nice to have: Experience with database design and optimization
Nice to have: Microservices
Nice to have: Containerization
Nice to have: Background in payments, FinTech, authentication, or other high-trust products
Nice to have: Contributions to open-source projects
We’re looking for x4 Senior Full Stack Engineers to join our Engineering team, working on Vortex, Nexus Mods’ flagship desktop mod manager. You’ll help build and improve an application used by millions of gamers, powering downloads, deployments, and conflict resolution across our supported games.
Compensation
Salary: £65,000 - £75,000
Responsibilities
Build and maintain features across the frontend, backend, and integration layers of a desktop app used by tens of millions of users on varying hardware and OS configurations.
Work across the delivery lifecycle, from prototyping to multi-sprint delivery of new game support and major workflow changes.
Tackle hard technical problems: performance regressions, race conditions, complex state bugs.
Evolve local data, configuration, and user profiles safely across releases.
Collaborate with other teams and review contributions from community and internal developers.
Build and operate production LLM and agent systems that deliver transparent, accurate sustainability data to customers.
Responsibilities
Translating methodology and business requirements into technical designs, together with data scientists and domain experts.
Designing and building agentic systems in production: agent architecture, tool use, structured outputs, and the services that expose them.
Developing and maintaining multi-step LLM pipelines that retrieve, extract and structure information from web and document sources into validated, production-ready data.
Designing and building the evaluation architecture for our AI systems: golden datasets, LLM-as-a-judge, automated checks and regression tests that account for LLM non-determinism, so every change is backed by measured results.
Making informed trade-offs between quality, latency and cost when choosing models, external providers, retrieval strategies and caching.
Product Engineers take a customer problem from discovery to production inside a pod, framing the problem, and shipping in small increments guided by real customer signal. This is an AI-native role requiring deep software engineering expertise and product/design judgment.
Compensation
At hx, we’re committed to salary transparency. You’ll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we’re working towards publishing salary information for all roles globally. Because we’re building at the intersection of technology/SaaS and insurance, our roles don’t always map neatly onto traditional benchmarks. Our approach is to design compensation that’s competitive in the market, fair across teams, and aligned with the impact our people make.
Responsibilities
Take a customer problem from discovery to production inside a pod
Direct AI agents to draft implementation, tests, and migrations, then review, integrating, and hardening that work
Design and deliver robust production systems where correctness, performance, and resource efficiency matter
Work across the codebase wherever the problem leads
Move between pods, problems, and streams as priorities change
In this role, you will be a key member of the Beacon team. The team own the infrastructure layer of AlertZero, which is the Agentic Security Operations platform. We also oversee other components like Graph Visualization and Automatic Migration. You'll have the chance to lead the development of key platform features that support security workflows, collaborating closely with product managers and fellow engineers. You'll have a hand in shaping the architecture that will serve as the foundation for future projects, making your impact felt throughout the organization.
Compensation
Competitive pay based on the work you do here and not your previous salary
Responsibilities
Develop high-quality software solutions for the AlertZero platform while implementing and maintaining essential security features within the infrastructure
Write unit and integration tests to ensure the reliability and performance of the code
Conduct thorough code reviews to ensure all code adheres to established coding standards
Provide constructive feedback to peers, improving overall code quality
Collaborate with team members to address any issues discovered during reviews and suggest automations that enhance the developer experience and streamline deployments
Build Alpaca's algo trading platform to satisfy users who expect high quality and performance from their brokerage service, designing and architecting the platform by wearing many different hats in a small team.
Compensation
Competitive Salary & Stock Options
Responsibilities
Write tons of code
Make critical decisions about delivering the best experience to customers
Design and architect the platform
Implement Order Management systems (OMS) and Risk Management systems (RMS)
Define multi-year roadmap, architectural patterns, and engineering standards for the Geo Makers agent platform across GCP, Vertex AI, and enterprise interfaces.
Lead an engineering squad by driving sprint execution, architectural reviews, technical design documents (TDDs), and code reviews while fostering high-velocity delivery.
Architect high-throughput, fault-tolerant backend services on GCP, ensuring compliance with enterprise data residency, access control lists (ACLs), quota allocation, and SLOs.
Build automated evaluation harnesses, 'golden plan' trajectory grading, and continuous integration testing to rigorously evaluate reasoning accuracy and spatial computation.
Drive strategic alignment across Google Cloud, Gemini Enterprise, Google Research, and Geo to establish Geo Makers as the primary spatial grounding platform.
Requirements
Bachelor’s degree in Computer Science or related field
Nice to have: Master’s degree or PhD in Engineering, Computer Science, or related technical field
Partner with regional product leads, Sales, and gTech Engagement Managers to assess customer marketing objectives, technical maturity, infrastructure, and first-party data management strategies.
Lead technical consultations and martech diagnostic sessions to uncover opportunities for custom solutions, ensuring designs respect industry-specific data constraints and business cycles.
Translate complex customer requirements into clear system architectures and technical specifications that prioritize scalability, reusability, and media activation.
Lead technical handovers to the engineering team by authoring high-quality, prototype-grounded Business/Product Requirement Documents aligned with the product roadmap.
Serve as the entry gatekeeper to the Engineering CoE.
Requirements
Bachelor’s degree or equivalent practical experience
Nice to have: Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science
Nice to have: Experience with Google Ads, Google Marketing Platform products (e.g., SA360, DV360, GA4)
Nice to have: Experience with Google Cloud services
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