Staff Backend Engineer

This role is for one of the Weekday's clients Salary range: Rs 5500000 - Rs 8500000 (ie INR 55-85 LPA) Min Experience: 10 years Location: Bengaluru JobType: full-time We are seeking a highly experienced  Senior Backend / Platform Engineer  to help build and scale a world-class  AI observability and trust platform .
This role focuses on designing and developing robust backend systems that enable enterprises to deploy, monitor, evaluate, and improve AI applications at production scale—including predictive models, LLMs, generative AI, and agentic systems.
You will work at the intersection of distributed systems, cloud infrastructure, and AI/ML workflows, playing a critical role in shaping platform reliability, scalability, and transparency while contributing to the long-term vision of responsible AI.
Key Responsibilities Design and build  core backend services and cloud platform components  that support large-scale AI and ML observability use cases.
Lead the design and implementation of  distributed systems and microservices  that compute, store, and expose advanced AI observability metrics such as relevance, hallucination, and performance indicators.
Architect  enterprise-grade data infrastructure, APIs, and services  capable of handling high-throughput workloads while meeting compliance, reliability, and SLA requirements.
Drive the development of  new evaluation metrics and capabilities  in collaboration with customers and internal stakeholders to address evolving AI risks and needs.
Define and continuously improve the  operational maturity  of backend systems, including reliability, latency, SLOs, monitoring, and incident response.
Champion best practices in  CI/CD, testing, resiliency, performance optimization, and error handling  across the engineering organization.
Collaborate closely with product managers, data scientists, frontend engineers, and designers in a globally distributed environment.
Play an active role in  team building , including interviewing, mentoring, coaching engineers, and raising the overall technical bar through design and code reviews.
What Makes You a Great Fit A  Bachelor’s or Master’s degree  in Computer Science or a related field, with  10+ years of industry experience in software engineering.
Deep expertise in  Python  and backend development, with strong hands-on experience in systems using  Postgres, Redis, Kafka, RabbitMQ, Ray , or similar technologies.
Strong foundation in  distributed systems design , production debugging, and performance optimization.
Experience working with  cloud infrastructure and containerized environments  (AWS/GCP, Kubernetes), with exposure to specialized data stores such as ClickHouse or Druid considered a plus.
Proven ability to operate with  high ownership and autonomy  in fast-moving, ambiguous environments.
Demonstrated technical leadership, including breaking down complex problems, guiding small teams, and delivering high-impact projects.
Strong collaboration and communication skills across cross-functional and geographically distributed teams.
A mentoring mindset with a passion for coaching engineers and elevating engineering standards.
Bonus points for experience deploying  ML or LLM systems in production , familiarity with modern LLM frameworks, and model evaluation tools.