5 months ago
Pune, IndiaStaff+
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 distributed systems supporting real-time interactions, asynchronous processing, and secure data workflows.
- Build and extend cloud-native infrastructure across services, networking, storage, identity, and observability.
- Design and maintain Terraform infrastructure as code, including reusable modules, environment management, and drift-safe workflows.
- Build and operate Kubernetes/EKS services with deployment strategies, health checks, scaling configuration, and containerization workflows.
- Design and improve CI/CD pipelines, release workflows, and engineering productivity systems.
- Build asynchronous and event-driven systems using queues, RPC/service communication, and resilient failure-handling patterns.
- Design and evolve relational and NoSQL data models, including schemas, migrations, replication, and access patterns.
- 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 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 experience.
- Strong proficiency in at least one production backend language such as Python, Go, or Java, with ability to work across a polyglot environment.
- Strong software engineering fundamentals in system design, debugging, code quality, testing, and operational ownership.
- Deep production experience with cloud infrastructure and infrastructure-as-code workflows such as Terraform or equivalent tools.
- Experience with Kubernetes/EKS, Docker, and modern deployment practices.
- Production experience designing or extending CI/CD pipelines.
- Experience with distributed systems, microservice communication, message queues, asynchronous processing, and failure handling.
- Experience designing relational and NoSQL databases in production systems.
- Strong observability and production-debugging skills, plus communication, collaboration, and mentoring abilities.
- Legal authorization to work in the role’s country from the first day of employment; visa sponsorship is unavailable.
- Bonus: experience with Databricks, Spark, MLflow, model-serving systems, real-time streaming, WebSocket systems, multi-region architectures, data residency, failover design, fintech or regulated environments, or large-scale platform cost, performance, and reliability optimization.
Benefits
- Hybrid work model requiring work from the Pune office 3 days per week
- Equal opportunity employer with reasonable accommodation available
Tech Stack
About Addepar
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on $9 trillion in assets. Its open platform integrates with 700 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, São Paulo and Singapore.