Nextmind Solutions Private Limited
Senior Lead Software Engineer - Java/Python/AWS/AI/LLM
- Compensation
- Not disclosed
- Location
- Plano, TX, United States
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ai engineering
- Posted
Skills
Full description
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking, OPS Tech, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities:
- Lead end-to-end delivery of complex full-stack initiatives from concept through production launch, balancing speed, quality, risk, and maintainability.
- Set technical direction for the team/domain: define target architecture, drive roadmap-level technical decisions, and align designs to business priorities and constraints.
- Architect and deliver cloud-native microservices and APIs with strong security controls, scalability, resilience, and performance; ensure designs are operationally production-ready.
- Lead development of AI-driven capabilities, including LLM-based services, orchestration, and integrations into business workflows; establish patterns that are reusable across squads.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices (e.g., CoPilot, Claude) to improve code quality, delivery speed, and operational outcomes; set consistent validation standards (secure coding, peer review, automated testing) and promote reuse.
- Establish and enforce engineering standards across the team (coding standards, API guidelines, testing strategy, dependency management, documentation expectations, and operational readiness).
- Own reliability outcomes for key services: define SLIs/SLOs, lead incident response and RCA/postmortems, and drive continuous improvements to stability, latency, and cost.
- Lead observability and operational automation strategy (logs/metrics/tracing, alert quality, runbooks, auto-remediation) to reduce recurring issues and improve MTTR.
- Drive CI/CD maturity and safe delivery practices (quality gates, canary/blue-green, feature flags, rollback strategy), enabling predictable releases and zero/low downtime changes.
- Mentor and grow engineers (senior and junior) through technical coaching, architecture reviews, and feedback; cultivate a culture of technical excellence and continuous improvement.
- Communicate status, risks, and tradeoffs clearly across stakeholders; manage priorities and dependencies across multiple initiatives while operating effectively in Agile/Scrum.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 5+ years applied experience in addition to 7+ years of applied experience building production systems, including leading delivery of complex initiatives.