Senior Software Engineer, Platform

Role Description

As a Senior Software Engineer in Platform Engineering, you will build internal platforms and AI-enabled tooling that make shipping high-quality software the default. You will:

• Contribute to key parts of the Platform roadmap — from problem discovery to rollout and adoption.
• Build developer productivity tools/frameworks that scale quality across teams (not gatekeeping).
• Design and implement CI quality gates (unit/integration/API/contract/E2E), test reliability improvements, and quality signals that prevent production issues.
• Build platforms for automation utilities, reporting, and observability to improve confidence and reduce engineering toil.
• Embed AI-assisted workflows into processes (e.g., test generation, test data generation, failure analysis, flake detection, regression recommendations, smarter triage).
• Partner closely with Product Engineering, SRE/Platform, and Security teams to improve release confidence, reduce regressions, and shorten feedback loops.
• Set standards and build reusable libraries/SDKs so teams can easily "do the right thing" with minimal friction.
• Automate everything that an engineer should not be working on.

Qualifications

• 5+ years of industry experience as a software engineer, preferably in SaaS / product engineering.
• Proven ability to take ownership, drive initiatives, and deliver platforms adopted by multiple teams.
• Strong software engineering fundamentals: system design, APIs, code quality, scalability, and reliability.
• Deep proficiency in at least one high-level language (e.g., Java, JavaScript/TypeScript, Go, Python).
• Strong understanding of modern engineering practices: CI/CD, developer workflows, branching/release strategies, PR checks, build pipelines.
• Experience with cloud infrastructure (AWS / GCP) and distributed systems concepts.
• Strong problem-solving skills, comfort working with complex systems, and a bias toward automation.
• Hands-on experience with AI (must-have):
• Using LLMs/AI agents in engineering workflows.
• Building AI-powered tooling (prompting, evaluation, guardrails, automation integration).
• Practical experience integrating AI into developer productivity platforms.
• Highly data-driven mindset — comfortable defining success metrics, measuring adoption, and iterating.

Requirements

• Experience building/maintaining test automation frameworks (API/contract/E2E), test infra, or quality tooling used org-wide.
• Exposure to microservices architecture, GraphQL/REST, event-driven systems, and contract testing.
• Experience improving test reliability (flake reduction), failure triage automation, test impact analysis, or regression risk scoring.
• Familiarity with observability tools (logs/metrics/traces) and building actionable quality dashboards.
• Experience building internal platforms/SDKs and driving adoption through documentation, enablement, and DX improvements.

Benefits

• Flexible vacation.
• Flexible work times.
• Work from anywhere.
• Equipment you need to do your job.
• Health insurance.
• Attractive ESOPs.

Selection Process

• Initial screening round.
• Technical interview with our engineering team.
• In-depth technical interview with our CTO.
• Meet the founders and discuss our mission and vision.

Equal Employment Opportunity

Multiplier is committed to building a diverse and inclusive workforce. We are an equal opportunity employer and do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.