Lead Software Engineer

About the role

iptiQ owns a business unit called Sales Solutions that provides E2E distribution capabilities to support partners that need help in this space. We help partners (e.g. Ecosystem, Financials and Insurers) bring top-tier insurance products to their consumers, through our best-in-class marketing & sales teams.

About the team

This opportunity is about building and supporting an exciting and challenging technology platform within a fast-pasted growing Sales Solutions business unit of iptiQ. Do you have experience designing and building innovative SaaS solutions critical to the delivery of business outcomes?   Do you enjoy delivering solutions through agile delivery process using solid software practices? Do you continuously look for ways to be better every day? Are you motivated by the passion to deliver innovative and cutting-edge solutions that will be the market differentiator for the business? If you think you fit the bill, then apply now!

Key Responsibilities

• You will lead group technical design sessions to deliver high quality, secure, scalable solutions along with other Sr. Engineers and mentor/guide engineers as needed.
• You will be part of a Scrum team doing full-stack development to deliver high quality SaaS solutions.
• You will lead adoption of new technologies and integration on the existing platform.
• You will be able to deliver quality functionality with minimal guidance.
• You are self-starter, enjoy challenging problems, and continuously improving yourself and others around you by constantly challenging the status-quo.
• You will lead complex technical projects that interact between multiple system components. (Performance Tuning, Security Analysis, Integrations).
• You will engage and work with peer groups (Operations, Product, Support) to ensure that product implementation and delivered quality are high.
• You will be lead improvement in SDLC and quality processes including Code Reviews and other Software Development Best Practices.
• You will be grooming and planning user stories, writing test cases, developing functionality and automation, fixing defects, and updating documentation.

Experience

• BS in Computer Science / related field or equivalent experience.
• 8 years of hands-on development as a professional.
• Expertise in the following languages / runtimes: Scala (Must), Play (Must), React (Must), Java, Node, Python, or similar language.
• Expertise with one or more of the following data storage technologies: Relational or NOSQL technology
• Expertise in as many areas of the following: ESB/API Gateways, Workflow Engines, Rules Engines, Authentication/Authorization, Message/event queues
• Expertise in CI/CD tools like GitHub Actions, CircleCI
• Minimum 2 years' experience with a Scrum and Agile based environment
• Experience with quality development processes, including Unit tests, Build Systems, Peer reviews and automated functional tests 
• Experience with deployment and virtualization of delivered software assets.
• Experience with SaaS or Enterprise Software development
• Deep understanding of web application architectures (e.g. SPA, SSO, JWT, etc.)
• Experience with centralized logging and metrics collection systems.
• Experience with containerization technologies, including: Docker, Kubernetes
• Experience with cloud-based technologies, including: AWS(Must), Azure
• Experience with server less computing like AWS Lambda and AWS Fargate
• Experience with Data warehousing tools like snowflake and BI tools like Tableau is a plus
• Experience with CRM platforms is a plus
• Experience with Insurance domain and/or Call center Agency business is a plus

For Armonk the estimated base salary range for this position is $120,000 to $192,000. The specific salary offered for this or any given role will take into account a number of factors including but not limited to job location, scope of role, qualifications, complexity/specialization/scarcity of talent, experience, education, and employer budget.  At Swiss Re, we take a "total compensation approach" when making compensation decisions. This means that we consider all components of compensation in their totality (such as base pay, short-and long-term incentives, and benefits offered), in setting individual compensation.