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Riskcovry is seeking an experienced tech support professional to join their team in Bengaluru, India. Your main responsibilities will include L2/L3 support, troubleshooting, and collaboration with engineering teams to resolve issues effectively.
You should have at least 3 years of experience with SQL, Linux, and possess strong communication skills. A tech-savvy self-starter with an understanding of the insurance domain will thrive in this role.
Insurance is one of the largest financial products in the world, yet it remains one of the hardest to distribute digitally. We’re changing that!
Riskcovry is an AI-first insurtech infrastructure platform that enables banks, lenders, fintechs, telecom companies, and digital platforms to embed insurance directly into their products and customer journeys.
Our API-first platform powers the full lifecycle of digital insurance distribution — from product configuration and policy issuance to commissions, claims, and reporting. This allows enterprises to launch and scale insurance programs quickly without building complex insurance infrastructure or managing multiple insurer integrations.
Today, businesses use Riskcovry to embed protection products like credit life, motor, device protection, and microinsurance into lending, payments, mobility, and digital ecosystems.
We’re building the infrastructure layer that makes insurance programmable, globally, much like how payment infrastructure transformed digital commerce.
Riskcovry is a venture-funded company backed by leading fintech investors and recognized by the industry for innovation, including awards such as "Insurtech of the Year" and "Best AI Innovation for Insurance Distribution." Our platform powers digital insurance distribution across India, the Middle East, the UK, and expanding global markets.
Behind the platform is a team of builders, operators, and problem-solvers working at the intersection of insurance, technology, and financial services. We move fast, think boldly, and are driven by the opportunity to solve complex real-world problems at scale.