Software Engineer II at Tekion

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, TechnologyIndustries

Requirements

3-5 years of experience in data platform, infrastructure, or backend systems engineering roles
Strong systems engineering fundamentals — distributed systems, fault tolerance, performance tuning
Expertise in Apache Spark with production experience on AWS EMR
Experience building or managing CDC pipelines using tools like Debezium, Kafka Connect, or custom connectors
Familiarity with streaming systems such as Kafka, Kinesis, or Flink
Experience serving data using Trino or Presto in a multi-tenant environment
Proficiency in Python, Java or Scala, and Unix/Linux systems
Strong understanding of open table formats like Delta Lake or Apache Iceberg
Exposure to infrastructure as code (Terraform, CloudFormation) and CI/CD automation

Responsibilities

Design and implement foundational frameworks for ingestion, orchestration, schema validation, and metadata management
Build robust, scalable pipelines for Change Data Capture (CDC) using Debezium integrated with Kafka and Spark
Optimize data serving layers powered by Trino, including metadata syncing, security filtering, and performance tuning
Partner with SRE and Infra teams to build autoscaling, self-healing, and cost-optimized Spark jobs on AWS EMR
Implement observability features — logs, metrics, alerts — for critical platform services and data pipelines
Define and enforce standards for schema evolution, lineage tracking, and data governance
Automate platform operations using CI/CD pipelines, metadata-driven configurations, and infrastructure-as-code

Skills

Key technologies and capabilities for this role

DebeziumCDCTrinoData IngestionData TransformationObservabilityMulti-tenantCloud-nativeMachine LearningAIBig DataSystems EngineeringInfrastructureMetadataAutomation

Questions & Answers

Common questions about this position

What salary or compensation can I expect for this Software Engineer II role?

This information is not specified in the job description.

Is this Data Platform Engineer position remote or does it require office work?

This information is not specified in the job description.

What key skills are required for this role?

The role requires deep systems engineering expertise, experience with Debezium for CDC pipelines integrated with Kafka and Spark, Trino for data serving layers, AWS EMR for Spark jobs, and skills in observability, schema management, and infrastructure-as-code.

What is the company culture like at Tekion?

This information is not specified in the job description.

What makes a strong candidate for this Data Platform Engineer position?

A strong candidate has deep systems engineering expertise, passion for building reusable infrastructure, and hands-on experience with CDC using Debezium, Kafka, Spark, Trino, AWS EMR, observability, and automation via CI/CD and infrastructure-as-code.

Tekion

Cloud-native platform for automotive retail management

About Tekion

Tekion has developed a cloud-native platform designed for the automotive retail industry. Its main product is a Dealer Management System (DMS) that utilizes technologies like Big Data, the Internet of Things (IoT), and Machine Learning (ML) to improve the operations of car dealerships. The DMS provides a centralized view and performance metrics for dealership groups, allowing for better management and increased operational efficiency. Tekion differentiates itself from competitors by being the first and fastest cloud-native DMS available, and it integrates seamlessly with major Original Equipment Manufacturers (OEMs) at no extra cost. The company's goal is to enhance dealership efficiency, profitability, and customer experience through its subscription-based software-as-a-service (SaaS) model, which also includes additional services to help dealerships identify upsell and cross-sell opportunities.

Pleasanton, CaliforniaHeadquarters

2016Year Founded

$617.8MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Data & Analytics, Automotive & Transportation, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Competitive compensation and generous stock options

100% employer-paid top-of-the-line medical, dental and vision coverage

Great benefits including unlimited PTO, parental leave and free snacks and beverages

The opportunity to work with some of the brightest minds from Silicon Valley’s most dominant and successful companies

Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper

Work on the latest and coolest technologies – everything is home-grown and built ground-up

A dynamic work environment with a strong sense of community and collaboration

The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy

Exciting opportunities for career growth and development

Risks

Competition from established players like CDK Global may impact Tekion's market share.

Data privacy concerns could arise from integrating generative AI into Tekion's platform.

Reliance on partnerships may pose risks if expected synergies are not achieved.

Differentiation

Tekion offers the first cloud-native platform for the automotive retail industry.

The platform integrates AI and machine learning for predictive analytics and personalization.

Tekion's Automotive Partner Cloud enables seamless data sharing across the automotive ecosystem.

Upsides

Increased adoption of cloud-native solutions boosts demand for Tekion's platform.

AI integration in dealership systems enhances customer experience and operational efficiency.

Subscription-based SaaS model aligns with industry trends, supporting Tekion's growth.

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