Salary
≈ $34k – $84k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp
First seen by Alion on Oct 25, 2026. Impact Analytics scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Impact Analytics is an AI-native SaaS and consulting company that uses predictive analytics and data-driven insights through an integrated platform for planning, forecasting, merchandising, pricing, and promotions.
Backed by Sageview Capital
Responsibilities:
This is a senior-level, individual contributor role focused on hands-on technical leadership in backend architecture. The role is centred around three core areas:
- Drive complex backend architecture initiatives that span across multiple engineering and technology domains.
- Lead strategic R& D efforts to evaluate new backend technologies, frameworks, and methodologies, and champion their adoption company-wide.
- Spearhead our Multi-Cloud and Hybrid-Cloud backend strategies, ensuring scalable, secure, and resilient architecture patterns.
Requirements:
- 14+ years of software development experience, with at least 4 years in an Architect or Staff Engineer role, particularly in backend systems.
- A backend technology expert with in-depth, hands-on experience in building and scaling enterprise SaaS with a distributed architecture.
- In-depth knowledge of Rest and event-driven architecture with low latency and high-throughput in-memory systems.
- Designing a stateful backend to handle large data, including a message broker, a distributed queue, and caching.
- Good understanding of High Availability and Disaster recovery for the critical production system.
- In-depth understanding of Async, Multi-Threading and Multi-Processing Architecture to ensure our system efficiently uses the programming principle for higher concurrency support.
- Proficiency in the following programming languages (Python, Rust), with a strong foundation in software engineering principles.
- Knowledge of Rust is a strong plus, especially in the context of high-performance, memory safety and ownership.
- Deep understanding of system design, database architecture (SQL & NoSQL), microservices, observability, resilience engineering, and secure coding practices.
- Exposure to big data platforms, stream processing, machine learning infrastructure, and multi-cloud environments (e. g., AWS, GCP, Azure) is preferred.
- Excellent communicator and collaborator, with the ability to influence and align cross-functional stakeholders.
- Proven experience mentoring engineers and guiding architectural decisions at scale.
Skills
architect, architecture, backend, python, rust
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