| Job Summary | - Seeking a highly experienced Senior Software Architect to lead the design and evolution of mission-critical, high-scale distributed platforms.
- This role requires deep hands-on expertise in API development, MongoDB, Python, and Java, with a strong record of architecting systems that process millions of transactions per day while meeting rigorous SLA, availability, security, and resiliency requirements.
- The ideal candidate combines strategic architectural leadership with practical engineering depth.
- They will define technical direction, solve complex scalability and reliability challenges, establish engineering standards, and partner closely with product, platform, security, and engineering teams.
|
| Key Responsibilities | - Architect scalable, highly available, and resilient distributed systems supporting high transaction volumes and mission-critical workloads.
- Define end-to-end system architecture across APIs, services, data stores, asynchronous processing, caching, observability, and infrastructure.
- Design and govern enterprise-grade API platforms, including RESTful and/or event-driven APIs, API security, versioning, rate limiting, error handling, and backward compatibility.
- Lead architecture decisions for services built primarily in Python and Java, ensuring performance, maintainability, operational readiness, and secure coding practices.
- Design, optimize, and govern large-scale MongoDB deployments, including data modeling, indexing, sharding, replication, consistency, backup/recovery, and capacity planning.
- Establish reliability and resiliency patterns, including fault isolation, retries, idempotency, circuit breakers, graceful degradation, and disaster recovery.
- Drive performance engineering, including load testing, bottleneck analysis, query optimization, API latency reduction, and scalability planning.
- Define observability standards across logging, metrics, distributed tracing, dashboards, alerting, SLOs, SLIs, and incident response.
- Partner with DevOps/SRE teams to improve production readiness, deployment automation, infrastructure reliability, and operational maturity.
- Conduct architecture reviews, establish technical standards, and mentor senior engineers and technical leads.
- Translate business and non-functional requirements into clear technical designs, roadmaps, trade-offs, and implementation plans.
- Lead root-cause analysis for critical production incidents and drive permanent corrective actions.
|
| Required Qualifications | - 10+ years of software engineering experience, including significant experience in software architecture or technical leadership roles.
- 8+ years' experience architecting and delivering large-scale distributed systems supporting high throughput, high availability, and strict SLA requirements.
- Deep expertise in API design and development, including scalable service architectures, API lifecycle management, security, authentication/authorization, and performance optimization.
- 8+ years strong hands-on development experience in both Python and Java.
- Extensive enterprise-scale experience with MongoDB, including:
Data modeling and schema design Indexing and query optimization Replica sets and sharing - Read/write scaling strategies High availability and disaster recovery
Performance tuning and capacity planning Backup, restore, and data consistency strategies - Strong knowledge of distributed systems concepts, including eventual consistency, CAP trade-offs, concurrency, message delivery semantics, idempotency, and data partitioning.
- Demonstrated experience with cloud-native architectures, containerization, CI/CD, and production operations.
- Strong understanding of monitoring and observability practices, including metrics, logs, tracing, alerting, SLOs, and incident management.
- Experience leading technical design discussions and influencing cross-functional stakeholders.
- Excellent written and verbal communication skills, with the ability to explain complex technical decisions clearly.
|