As a Senior Lead Software Engineer , you will design, develop, and deliver innovative software solutions. You will collaborate with an agile team to enhance technology products in a secure and scalable way. You will gain hands-on experience across the software development lifecycle. You will contribute to a supportive team culture focused on growth and technical excellence.

  Job responsibilities 

• Own end-to-end solution architecture across applications, APIs, data, integrations, and environments (dev → prod).
• Convert business requirements into target-state architecture, HLD, and LLD with clear trade-offs and documented decisions.
• Define integration patterns and cross-service contracts (REST/gRPC, event-driven), including versioning, compatibility, and SLAs.
• Provide hands-on technical leadership by contributing Java/Spring Boot and Python code for reference implementations, critical paths, and POCs to production.
• Lead design spikes and performance investigations to validate approaches and resolve complex technical risks.
• Drive complex production issue triage and root cause analysis, ensuring sustainable fixes and operational learning.
• Establish and maintain engineering standards through reusable patterns, templates, and shared components.
• Design and deliver production patterns for AI/ML capabilities (batch + real-time inference, feature pipelines, evaluation, monitoring).
• Partner with Data Science teams to move models from experimentation to reliable, scalable, observable services.
• Implement responsible AI controls (traceability, testing/evaluation, approvals, and appropriate human oversight where required).
• Define and deliver NFRs and operational excellence (availability, latency, throughput, scalability, resiliency, RTO/RPO, capacity planning, observability/SLOs/runbooks) with secure-by-design and SDLC/audit compliance.

Required qualifications, capabilities and skills 

• Formal training or certification on software engineering concepts and 9+ years applied experience
• Strong hands-on experience designing and delivering enterprise solutions end-to-end.
• Java 11/17+ expertise, including Spring Boot microservices, API design, and testing practices.
• Python 3.x expertise for services, automation, and data/ML integration.
• Proven distributed systems experience: microservices, event-driven architecture, and messaging/streaming (Kafka or equivalent).
• Strong data architecture fundamentals: relational/NoSQL patterns, caching (e.g., Redis), data consistency, and schema evolution.
• Practical experience productionizing AI/ML: inference patterns, model packaging/serving, and monitoring/drift fundamentals.
• Working knowledge of MLOps concepts and operational model lifecycle management.
• DevOps delivery mindset: CI/CD, automated testing (unit/integration/contract), and release/rollback strategies.
• Strong security and resiliency mindset suitable for regulated environments. Excellent communication and influence skills—able to explain trade-offs and align stakeholders.

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