Senior Software Engineer is a technical leader responsible for architecting, developing, and delivering innovative software solutions that supports long-term vision of becoming a technology-first provider of insurance industry services. This role combines deep technical expertise with strategic thinking to design scalable, maintainable, and user-friendly systems across web-based and business-to business platforms.
• As a key contributor, the Senior Software Engineer not only builds high-impact solutions but also mentors team members, influences architectural decisions, and drives engineering best practices. Their work directly contributes to operational efficiency and cost savings by automating manual processes and enabling smarter, data-driven workflows. This role is instrumental in aligning technology with business goals and ensuring the long-term success of the digital transformation.
QUALIFICATIONS
Required Qualifications
• Bachelor’s degree in Computer Science, Software Engineering, or related field
• 8+ years of professional software development experience with significant
involvement in system and solution architecture.
• Expert proficiency in one or more modern languages (e.g., Java, C#, Python, Go, or JavaScript/TypeScript).
• Proven track record designing and operating containerized workloads (Docker,
Kubernetes) and infrastructure as code (Terraform, Pulumi, ARM).
• Hands-on experience identifying and mitigating security risks using OWASP,
SAST/DAST tools, and zero-trust principles.
• Deep understanding of distributed systems, microservices, event-driven
architectures, and messaging platforms.
• Proficiency with observability stacks (Dynatrace, Prometheus, Grafana, ELK) and major cloud platforms (AWS, Azure, GCP).
• Demonstrated success leading Agile teams using tools like Jira, Azure DevOps, or GitHub Projects.
Preferred Qualifications
• Master’s or Ph.D. in Computer Science, Engineering, or related discipline.
• Industry certifications (CISSP, AWS Solutions Architect – Professional, Google Cloud Architect).
• Experience in regulated or security-sensitive domains (finance, healthcare,
defense).
• Background in real-time, low-latency systems (trading platforms, gaming engines).
• Contributions to open-source projects or published technical papers.
• Experience in the insurance industry, especially in auto claims processing systems or related domains.
Core Competencies and Skills
• Strategic & Architectural Thinking
o Crafting roadmaps for technology evolution, UML/C4 modeling, and trade-off analysis
o Applying Domain-Driven Design, SOLID, and cloud-native design patterns
• Security Expertise
o Architecting identity and access management (IAM) solutions, encryption at rest/in transit, and secure API gateways
o Embedding secrets management (Vault, AWS KMS) and runtime defense mechanisms
• Reliability & Performance
o Autoscaling, load balancing, chaos engineering practices, and SLA/SLO management
o Using stress-testing frameworks (JMeter, Locust) and profiling tools (YourKit, Perf)
• Cloud-Native & Infrastructure
o Advanced IaC orchestration (Terraform modules, CloudFormation macros)
o Service meshes (Istio, Linkerd), serverless patterns (FaaS, BFF), and edge computing
• Monitoring & Observability
o Distributed tracing (Dynatrace, Jaeger, Zipkin), log aggregation, and custom metrics design
o Defining error budgets and crafting on-call playbooks
• Agile & Development Practices
o Coaching Scrum Masters and Product Owners, driving OKRs and iterative delivery
o Championing TDD/BDD, pair programming, and continuous refactoring
• AI & Intelligent Systems
o Applying ML fundamentals (classification, recommendation, NLP) to software tooling
o Implementing MLOps pipelines: model training, versioning, deployment, and monitoring
o Ensuring ethical AI: bias detection, explainability, and data governance
• Leadership & Collaboration
o Mentoring engineers, conducting architecture reviews, and fostering cross team alignment
o Excellent stakeholder communication, negotiation, and technical storytelling
