About QPIAI India Pvt. Ltd.
QPIAI India Pvt. Ltd. is a next-generation technology company focused on Artificial Intelligence, Quantum Computing, and advanced IT innovation. At QPIAI, we believe that great ideas grow in the right environment. Our culture is built on flexibility, collaboration, and continuous learning, supported by a strong commitment to employee well-being and work–life balance. We provide a workplace that encourages creativity, fosters professional growth, and empowers people to take ownership of impactful projects.
We are proud to be a company where innovation meets opportunity—where passionate professionals come together to solve complex challenges and shape the future of technology.
If you are driven by curiosity, inspired by cutting-edge technologies, and eager to contribute to a global tech journey, QPIAI is the place to grow, lead, and make a meaningful impact.
Role Overview
You will be responsible for end-to-end ownership of software engineering execution, including architecture, delivery, scalability, reliability, security, and engineering culture. This role bridges technology strategy and business outcomes, ensuring high-quality, high-performance software systems delivered at scale in production across enterprises.
Key Responsibilities
Strategy & Architecture
- Define and execute the engineering roadmap.
- Own technical decision-making and drive architecture evolution
- Ensure scalability, performance, security.
- Provide architectural leadership for distributed systems, microservices, data platforms, and AI/ML workloads.
- Ensure systems meet NFRs as performance, security, cost efficiency.
Delivery & Quality
- Ensure on-time, high-quality delivery across multiple teams.
- Enforce engineering best practices (design/code reviews, CI/CD).
- Own delivery metrics (velocity, quality, reliability).
- Partner closely with Product Management and other cross-functional teams.
- Ensure clear prioritization and seamless delivery.
Operational Excellence
- Own production readiness and operational excellence.
- Drive reliability practices (SLOs, incident response).
- Ensure a strong security posture and compliance.
Team Leadership & Development
- Build, mentor, and retain high-performing engineering leaders and teams.
- Establish clear career paths and foster a culture of technical excellence and continuous learning.
- Lead the hiring strategy for senior engineering roles.
Innovation & Productivity
- Champion AI-driven SDLC and AI-first engineering.
- Champion engineering productivity improvements (tooling, automation).
- Drive innovation, technical debt reduction, and modernization initiatives.
Technical Expertise
- Must be hands-on with Claude Code, Codex, OpenCode, Kimi, or similar tools with hands-on expertise in graph engineering, loop engineering, harness optimization, context engineering, and AI-driven software engineering.
- Strong foundation in software architecture, system design, and distributed systems, with ownership of scalability, performance, reliability, security, and cost efficiency in enterprise production systems
- Hands-on expertise in Python, Java, Go, C++/Rust, JavaScript, TypeScript, Node.js, including concurrency, parallelism, async runtimes, memory/GC internals, and performance profiling
- Backend & API systems using FastAPI, Django, Flask, Spring Boot, Gin/Fiber, NestJS/Express, with REST, gRPC, GraphQL, OpenAPI, service meshes, and API gateways.
- Data & streaming platforms: PostgreSQL, MySQL, MongoDB, Redis, Cassandra/DynamoDB; Kafka, Pulsar, RabbitMQ, SQS/SNS, real-time and event-driven architectures.
- Cloud-native & next-gen infra on AWS/Azure/GCP with Docker, Kubernetes, Terraform/IaC, multi-region, multi-cloud, serverless, edge computing, and cloud cost optimization (FinOps).
- CI/CD & platform engineering with GitLab CI, Jenkins, GitOps, progressive delivery, internal developer platforms (IDPs)
- Observability & reliability using Prometheus, Grafana, ELK/OpenSearch, Loki, OpenTelemetry, Jaeger, eBPF-based observability, SLOs/SLIs, incident response, postmortems.
- Security & trust engineering: OAuth2, JWT, mTLS, Vault/KMS, zero-trust architectures, policy-as-code, secure supply chain, OWASP Top 10, SOC2/ISO-aligned SDLC.
- Modern engineering practices: fault tolerance, consistency models, networking, OS/runtime internals, automated quality, security, and reliability checks, AI-assisted development, AIOps, and autonomous remediation patterns.
- Must have delivered and productionized at least 1 software product at scale and with necessary post-production monitoring and business feedback.
Required Qualifications
- 12+ years of professional software engineering experience.
- 5+ years leading large, multi-team engineering organizations.
- Proven experience delivering large-scale, production-grade software systems.
- Exceptional people management and leadership skills.