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Full stack Application Developer

Lam Research -
Bengaluru, Karnataka

Apply Now

Job details

Qualifications

Azure
Rust (programming language)
Computer Science
Full-stack development
Master's degree
SQL
RBAC
Bachelor's degree
PostgreSQL
Distributed systems
Redis
RabbitMQ
REST
Angular
APIs
UI
JSON
Flask
Python
Analytics

Full job description

Requisition ID

193176

Date posted

03/23/2026

Work Location Model

On-site Flex

Work Location

Bangalore-IN-Bangalore

Work Country

India

Additional Skills

Architecture and Design Skills

Modular, service-oriented architecture separating web UI, APIs, background workers, and ETL components
API-first design to support future expansion beyond Dash-based frontends
Performance-aware architecture including server-side aggregation, streaming, backpressure handling, and cost-efficient scaling
Reliable job orchestration with retry mechanisms, dead-letter queues, and idempotency for long-running analytics tasks

Strong documentation practices using MkDocs or Sphinx, and collaborative development through code reviews and design documentation

Technical Skills Required

Core Technical Skills

Backend and APIs

Expert-level Python with strong skills in performance optimization and profiling tools like cProfile and py-spy
Production-grade API development using FastAPI or Flask, with REST/JSON and OpenAPI design principles
Asynchronous and background job handling using Celery, RQ, Dramatiq with Redis/RabbitMQ, Azure Durable Functions, or Azure Service Bus
Concurrency and parallelism using asyncio, multiprocessing, and distributed computing frameworks like Dask or Ray
Caching and session management using Redis, with a focus on idempotent job design

Frontend/UI for Analytics

Strong experience with Angular 2+ and Dash/Plotly, including state management, callback optimization, memoization, and pattern-matching callbacks
High-performance data visualization using Plotly WebGL, plotly-resampler, Datashader, or HoloViews, with server-side downsampling and aggregation

Data Engineering and Pipelines

Secure ingestion of encrypted files using PGP/AES, with signature verification and integrity checks
Key and secret management using HashiCorp Vault or cloud KMS, including RBAC, auditing, and rotation
ETL orchestration and scheduling using Airflow or Prefect, with SLA enforcement and retry logic
Database design and optimization using Postgres, TimescaleDB, or ClickHouse, with strong SQL skills, indexing, partitioning, and familiarity with Microsoft Fabric

Experience Guidelines

Extensive experience (6+ years) building production-grade Python data applications
At least 2 years of hands-on experience with Angular/Dash/Plotly in production environments
Proven delivery of horizontally scalable systems with background job processing
Demonstrated implementation of performance-critical analytics using tools like Numba, Cython, Rust, Polars, or distributed compute frameworks

Preferred qualifications

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Apply Now

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Additional Skills

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Experience Guidelines

Preferred qualifications

Our commitment

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