SDE 3 - Platform at Aidash in Bengaluru, Karnataka, India | Kablio

Role

Description

tool development

code deployment

distributed systems

system monitoring

performance optimization

backend development

Build tools that improve engineering productivity
Deploy code to production and engage in code reviews
Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues
Implement scalable and resilient distributed systems, ensuring fault tolerance and reliability
Mentors peers, reviews with architectural thinking
Become in-house experts and provide consultation to product engineers to help them build scalable and reliable systems
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics
Monitor, analyze, and optimize system performance and resource utilization
Refactor service to improve code quality, runtime efficiency and resource optimisation
Build scalable backend systems to support internal workflows backed by automated pipelines and ML models
Stay updated with the latest advancements in distributed systems technologies and methodologies
Design, develop and deploy scalable distributed systems
Evolve AiDASH architecture as we continue to scale

Requirements

python

aws

docker

sql/nosql

microservices

ci/cd

Strong debugging and optimization skills — load testing, profiling, bottleneck resolution
Hands-on expertise in Python (backend, data workflows), Spark/Big Data, Airflow and Snowflake (Good to have)
Works well cross-functionally to build reusable platform capabilities
6+ years of experience designing and building scalable, reusable platforms/components
Strong with SQL/NoSQL (PostgreSQL, MySQL, MongoDB)
Familiar with backend security (encryption, authN/authZ, compliance)
Proficient with cloud platforms (AWS), containers (Docker, Kubernetes)
Solid foundation in data structures & algorithms
Strong in system design & microservices, distributed systems, and API development
Thrives in fast-paced environments, balancing delivery with long-term vision
Experience in CI/CD, unit testing, code coverage, and ensuring production readiness
Bias for automation and building self-service, reusable solutions
Curious and open to exploring new tech (e.g., AI-powered workflows
Can break down complex product requirements into platform abstractions
Experienced in RESTful API design, development, and maintenance

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

Revolutionizes industries with AI-powered satellite data solutions.
Analyzing large-scale infrastructure and utilities using advanced satellite imagery.
Collaborates with leading clients in energy, utilities, and transportation.
Provides actionable insights with cutting-edge AI algorithms.
Monitors power lines, manages transportation networks, and tracks infrastructure integrity.
Transforms how industries manage assets, ensuring safety and reducing operational risks.

Culture + Values

No official culture or values wording found on public website or LinkedIn

Environment + Sustainability

5th in GreenTech

TIME's 2025 Ranking

Ranked 5th in the 'Data & Analytics' category in TIME's America's Top GreenTech Companies 2025 list, placing among the top 250 companies overall.

90% Carbon Savings

Carbon Offsets

Launched a carbon measurement & management tool (ISMS) enabling organizations to save up to 90% on carbon offsets.

10% Biodiversity Net Gain

Biodiversity Net Gain

ISMS supports achieving a 10% biodiversity net gain (BNG) across land and air, applicable to over 3,500 global sites.

$58.5M Series C

Funding Raised

Raised $58.5 million in Series C funding to scale sustainability and climate-resilience solutions in critical infrastructure industries.

Participated in COP26 via unveiling of ISMS 'Land' and 'Air' modules to support biodiversity net gain standards and GHG measurement.
Working with utilities (e.g., National Grid), energy, farming, mining to achieve carbon capture on corporate land and meet biodiversity goals.

Inclusion & Diversity

No DEI strategy or gender-related data found on public website or LinkedIn

Articles

Company Overview

Careers

Role

Description

tool development

code deployment

distributed systems

system monitoring

performance optimization

backend development

Build tools that improve engineering productivity
Deploy code to production and engage in code reviews
Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues
Implement scalable and resilient distributed systems, ensuring fault tolerance and reliability
Mentors peers, reviews with architectural thinking
Become in-house experts and provide consultation to product engineers to help them build scalable and reliable systems
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics
Monitor, analyze, and optimize system performance and resource utilization
Refactor service to improve code quality, runtime efficiency and resource optimisation
Build scalable backend systems to support internal workflows backed by automated pipelines and ML models
Stay updated with the latest advancements in distributed systems technologies and methodologies
Design, develop and deploy scalable distributed systems
Evolve AiDASH architecture as we continue to scale

Requirements

python

aws

docker

sql/nosql

microservices

ci/cd

Strong debugging and optimization skills — load testing, profiling, bottleneck resolution
Hands-on expertise in Python (backend, data workflows), Spark/Big Data, Airflow and Snowflake (Good to have)
Works well cross-functionally to build reusable platform capabilities
6+ years of experience designing and building scalable, reusable platforms/components
Strong with SQL/NoSQL (PostgreSQL, MySQL, MongoDB)
Familiar with backend security (encryption, authN/authZ, compliance)
Proficient with cloud platforms (AWS), containers (Docker, Kubernetes)
Solid foundation in data structures & algorithms
Strong in system design & microservices, distributed systems, and API development
Thrives in fast-paced environments, balancing delivery with long-term vision
Experience in CI/CD, unit testing, code coverage, and ensuring production readiness
Bias for automation and building self-service, reusable solutions
Curious and open to exploring new tech (e.g., AI-powered workflows
Can break down complex product requirements into platform abstractions
Experienced in RESTful API design, development, and maintenance

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found