Lead Software Engineer, Platform Team at Multiplier

Colombo, Western Province, Sri Lanka -

Full Time

Start Date

Immediate

Expiry Date

03 May, 26

Salary

0.0

Posted On

02 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, SaaS, System Design, APIs, Code Quality, Scalability, Reliability, Cloud Infrastructure, Distributed Systems, AI, Automation, CI/CD, Developer Workflows, Microservices, Observability, Test Automation

Industry

Human Resources Services

Description

About Job The global hiring revolution is shaping a future where talent can thrive everywhere, driving innovation and progress on a global scale. Multiplier is at the forefront of this change. By removing barriers and simplifying global hiring, we’re creating a level playing field where businesses and individuals can compete, grow, and succeed, regardless of geography. Multiplier empowers companies to hire, onboard, manage, and pay talent in 150+ countries, quickly and compliantly. Our mission is to build a world without limits, where ambitious businesses can look beyond borders to build their global dream teams. Our unified employment platform—complete with world-class EOR, AOR, and Global Payroll product —means it has never been easier to seize the global hiring opportunity. We’re backed by some of the best in the business (Sequoia, DST, and Tiger Global), led by industry leading experts, scaling fast, and seeking brilliant like-minded enthusiasts to join our team. The future is borderless. Let’s build it together. What will I be doing? As a Lead Software Engineer in Platform Engineering, you will build internal platforms and AI-enabled tooling that make shipping high-quality software the default. You will: Own and drive 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. Mentor engineers and lead by example through high-quality code, architecture, and pragmatic decision-making. Automate everything that an engineer should not be working on. What do I need? 8+ years of industry experience as a software engineer, preferably in SaaS / product engineering. Proven ability to take ownership, drive ambiguous 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, OR Building AI-powered tooling (prompting, evaluation, guardrails, automation integration), OR Practical experience integrating AI into developer productivity platforms. Highly data-driven mindset—comfortable defining success metrics, measuring adoption, and iterating. Good to have 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. Perks Flexible vacation Flexible work times Work from anywhere Equipment you need to do your job Health insurance Attractive ESOPs

Responsibilities

As a Lead Software Engineer, you will build internal platforms and AI-enabled tooling to enhance software quality and developer productivity. You will also mentor engineers and drive key parts of the platform roadmap.