Intermediate Software Engineer - Onni Capital

Job Description: There is an exciting opportunity for an Intermediate Software Engineer to join Onni Capital in Vancouver. Onni Capital is a new investment and company building platform within the Onni Group. Operating at the intersection of a venture studio, private equity firm, and family office, we build new companies, invest in exceptional founders, and pursue opportunities where Onni’s capital, operating platform, real estate portfolio, and industry relationships create a meaningful advantage. Onni Capital is being built from the ground up with the speed, ambition, and working style of a technology company. Our team works across venture creation, technology, private investments, fund investments, and special opportunities. This role exists to ship the software those companies are built on.You will build and ship production software across the stack with semi independent ownership, taking well scoped problems from design through deployment.The products you work on run real parts of the business and are used by real operators, tenants, and internal teams, not by a hypothetical future user.This is an opportunity to own products end to end, work directly with the people whose problems you are solving, and help set the engineering standards for a team that is still being built!Why Onni Capital Most engineering roles put you several layers away from the business. Here you will sit beside the people who own the problem, the budget, and the decision.Onni’s portfolio provides a rare testing ground. Products can be built around real operational problems, deployed into active businesses and properties, and measured against real revenue and real cost, usually within weeks rather than quarters. You will not inherit a decade of legacy architecture or a ticket queue. You will be expected to contribute to how systems are designed, how the team ships, and what standards the codebase holds to.Some products will scale into businesses. Others will be shut down quickly when the evidence does not support them. Both are signs that the process is working.How We Work Onni Capital is being designed as a high ownership, low bureaucracy team. We work in small project groups, test ideas quickly, put early products in front of users, and make decisions based on evidence rather than hierarchy.Team members are expected to:
Challenge assumptions and communicate directlyTake responsibility for outcomes, not simply produce recommendationsUse modern AI and development tools to work faster and produce better resultsShare unfinished work early and improve it through feedbackMove comfortably between strategic analysis and hands on executionKnow when to continue investing in an idea and when to stopOperate effectively without a detailed playbookThis is not a role for someone who wants months of consensus building, a rigid job description, or a narrowly defined set of responsibilities. It is for someone who learns quickly, takes initiative, enjoys solving ambiguous problems, and wants to help build something from the ground up.What You Will Do
Build and ship production features across the stack with semi independent ownership, taking well scoped problems from design through deploymentWrite production code that holds up to senior engineering review, and contribute to code reviews of your peersContribute to code architecture, API design, and testing practices within established team standardsTake validated prototypes from the venture studio team and harden them into production systemsWork within existing CI and CD pipelines, container orchestration, and cloud deployment infrastructure, and contribute improvements as neededHelp maintain environment management across development, staging, and production, and respond to monitoring and alerting for deployed servicesImplement application security features, including credential handling, secrets management, audit logging, and access controls, following established team standardsHandle sensitive financial and tenant information responsibly, in line with company data protection standardsParticipate in incident response when things go wrong, following established proceduresBuild integrations between internal systems and external APIs and third party servicesWork cross functionally with non technical stakeholders to translate business needs into technical solutionsDocument architecture, decisions, and operating standards so successful approaches can be repeated across the teamContribute to internal product reviews, demonstrations, and Onni Capital eventsWhat You Bring
Strong proficiency in the modern TypeScript and React ecosystem, including Next.Js, TypeScript, React, REST APIs, and relational databases.Bonus points for experience with Supabase and PostgresComfortable in Python for backend services and AI and agent tooling, using FastAPI or similarSolid backend systems design and API development experienceHands on experience with DevOps practices, including CI and CD pipelines, Docker, and containerisationRegularly uses AI assisted development tools, specifically Claude Code, as a core part of your workflow, with the judgment to know when to trust output versus verify itPractical experience integrating LLMs into production applications via provider APIs such as Anthropic, OpenAI, or OpenRouter, including prompt engineering, context management, streaming responses, tool and function calling, structured output, and evaluating output qualityFoundational understanding of application security, including authentication, authorisation, secrets management, and audit loggingAbility to work semi independently. You can pick up a problem, break it down, see it through to production, and know when to ask for help rather than spinStrong interpersonal skills. You know how to work with people, communicate clearly, give and receive constructive feedback, and build trust on a teamA bias toward action and comfort making progress with incomplete informationComfort working in a small, fast moving team where responsibilities change as projects developHigh personal standards for accuracy, quality, ownership, and follow througNice to Have
Experience with tools such as Claude, Claude Code, Codex, Cursor, Linear, Slack, Databricks, Microsoft Azure, or similar platformsExperience with open source AI agent frameworks such as LangChain, CrewAI, or AutoGenExperience with retrieval augmented generation (RAG) and vector databasesInfrastructure as code experienceFamiliarity with real estate technology or property management platformsExperience with data pipeline tools such as Databricks or AirflowBackground in regulated industries with strict audit and compliance requirementsExperience with React Native or cross platform mobile developmentExperience with Twilio or voice and telephony APIsPrevious founder, side project, or entrepreneurial experienceWhat Makes This Role Different
Sitting in on the user interviews that define the problemShaping the architecture and data model from the startBuilding and shipping the first working versionDeploying it into an operating business and watching real users hit itInstrumenting it so that impact can actually be measuredHardening a validated prototype into a production systemPresenting the build directly to senior executivesDeciding, with the team, whether it is worth continuing to invest inThe expectation is high ownership. You will be accountable for what you ship and how it behaves in production.Salary Range
Salary Range: $90,000 - $120,000 Per YearAbout The Company
Onni For over half a century, Onni has been building communities for people to live, work, and play. Our success reflects our commitment to our employees and partners, and our dedication to quality construction, innovation, sustainability, and customer satisfaction. Our expertise expands across North America, with offices in Vancouver, Toronto, Los Angeles, Seattle, Phoenix, and Chicago. AI Use: This role may involve the use of artificial intelligence (AI) tools to support research, analysis, content development, design, reporting, or operational efficiency. Employees are expected to use AI responsibly and in compliance with company policies, data privacy requirements, confidentiality obligations, and applicable laws. All AI-generated or AI-assisted outputs must be reviewed for accuracy, quality, and appropriateness before use. Employees are also expected to disclose when AI tools have been used in the creation of work and must not present AI-generated content as solely their own original work.
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