# Staff Software Engineer – AI Platform

**Company:** [Addepar](https://hotfix.jobs/companies/addepar)
**Location:** Pune, India
**Role:** Backend Engineering
**Experience:** 8+ years
**Skills:** Python, Go, Java, Terraform, Kubernetes, Amazon Eks, Docker, CI/CD, Distributed Systems, Message Queues, Relational Databases, Nosql Databases, Observability, IAM, MLflow
**Posted:** 2026-06-04

> Build and operate backend services, distributed systems, and cloud infrastructure for AI Platform products. The role requires 8+ years of software engineering experience, strong production backend development, Terraform and Kubernetes expertise, and the ability to mentor engineers and drive platform reliability.

## Job Description

## Responsibilities
- Design, build, and operate backend services and infrastructure powering AI Platform products.
- Write maintainable, reliable, and performant production code for platform and service layers.
- Architect and evolve distributed systems supporting real-time interactions, asynchronous processing, and secure data workflows.
- Build and extend cloud-native infrastructure across core services, networking, storage, identity, and observability layers.
- Design and maintain infrastructure as code using Terraform, including reusable modules, environment management, and drift-safe workflows.
- Build and operate Kubernetes/EKS-based services, including deployment strategies, health checks, scaling configuration, and containerization workflows.
- Design and improve CI/CD pipelines, release workflows, and engineering productivity systems.
- Build and maintain asynchronous and event-driven systems using queues, RPC/service communication, and resilient failure-handling patterns.
- Design and evolve relational and NoSQL data models, including schema design, migrations, replication, and access patterns.
- Build and maintain observability across metrics, logs, tracing, dashboards, and alerting.
- Apply secure-by-default practices across IAM, secrets, encryption, network isolation, and production operations.
- Mentor engineers through code reviews, design reviews, incident reviews, and technical guidance.
- Drive technical decisions that improve platform reliability, scalability, developer productivity, and long-term system health.

## Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- At least 8+ years of professional software engineering experience, including significant backend, infrastructure, or platform-oriented work.
- Strong proficiency in at least one production backend language such as Python, Go, or Java, with the ability to work across a polyglot environment.
- Strong software engineering fundamentals, including system design, debugging, code quality, testing, and operational ownership.
- Deep hands-on experience with cloud infrastructure in production environments.
- Strong experience with infrastructure-as-code workflows such as Terraform or equivalent tools.
- Experience with Kubernetes/EKS, Docker, and modern deployment practices.
- Experience designing or extending CI/CD pipelines in production environments.
- Experience with distributed systems, microservice communication, message queues, asynchronous processing, and failure handling.
- Experience with relational and NoSQL database design in production systems.
- Strong observability and production-debugging skills.
- Strong communication, collaboration, and mentoring skills.
- Ability to operate as a software engineer first, with substantial production software engineering depth.

## Nice to Have
- Experience with AI/ML platform tooling such as Databricks, Spark, MLflow, or model-serving systems.
- Experience with real-time streaming or WebSocket-based systems at scale.
- Experience with multi-region architectures, data residency, or failover design.
- Experience in fintech or other highly regulated environments.
- Experience optimizing platform cost, performance, and reliability tradeoffs at scale.

## Work Arrangement
- Hybrid role requiring work from the Pune office 3 days per week.

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