ABOUT TEKION:

Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the

first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers,

Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for

technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless

platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring

together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement

capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North

America, Asia and Europe.

JOB INTRODUCTION:

Designs and builds robust, scalable data pipelines and data platform solutions across Tekion's enterprise data platform. Works

independently on complex data engineering features and systems while collaborating with peers to deliver high-quality, AI-assisted

data products, optimize pipeline performance, and continuously improve data engineering practices. Brings a strong eye for data

quality and builds pipelines that are end-to-end reconcilable by design.

KEY ROLE AND RESPONSIBILITIES:

Designs, develops, and maintains data pipelines, data models, and data platform services across the Bronze, Silver, and Gold

layers.

Writes clean, efficient, and well-documented transformation logic using dbt and Databricks Delta Live Tables (DLT), with a

focus on scalability, maintainability, and data correctness.

Participates in data architecture discussions and contributes to decisions around pipeline design, data modeling, and platform

component design.

Builds and enforces data quality checks at every layer of the pipeline, including schema validation, null checks, referential

integrity, and business rule assertions, ensuring issues are caught early and never silently passed downstream.

Designs pipelines with end-to-end reconciliation in mind, ensuring row counts, aggregates, and key metrics can be traced and

validated from source systems through to Gold layer outputs.

Monitors and responds to data quality alerts, investigates anomalies, performs root cause analysis, and drives permanent fixes

rather than temporary patches.

Develops and maintains data quality SLAs and works with upstream data owners to resolve source-level issues that impact

downstream data products.

Develops and maintains data quality checks, pipeline tests, and end-to-end validation to ensure data product reliability and

accuracy.

Collaborates with cross-functional teams including business stakeholders, analysts, and product managers to gather requirements

and translate them into well-defined data products.

Troubleshoots production pipeline failures and supports root cause analysis to drive platform reliability and SLA adherence.

Builds and maintains analytical dashboards using Tableau or Databricks AI/BI, enabling self-serve insights for business teams.

Designs, builds, and optimizes Databricks Genie spaces to support natural language querying of Gold layer data.

Develops and optimizes AI agents and data agents, leveraging AI coding assistants to accelerate pipeline development and reduce

time to delivery.

BASIC QUALIFICATIONS:

4 to 6 years of experience in data engineering or a closely related discipline

Bachelor's degree in Computer Science, Engineering, Data Science, or a related field

Hands-on experience building and operating data pipelines on Databricks or an equivalent AI-first data platform

Proficiency in Python and SQL; experience with dbt and Databricks Delta Live Tables (DLT) for real-time and near-real-time

pipeline development

Experience designing and implementing data quality frameworks including schema validation, null and duplicate checks,

referential integrity enforcement, and business rule assertions

Demonstrated ability to build end-to-end reconcilable pipelines where row counts, aggregates, and key metrics can be validated

at every stage from source to Gold

Experience with relational and/or NoSQL databases, REST APIs, and cloud-based data services

Strong understanding of lakehouse architecture, data modeling, testing practices, and CI/CD pipelines for data workflows

Demonstrated ability to build and optimize Databricks Genie spaces and AI/BI dashboards for business consumption

Experience building, deploying, and optimizing AI agents, with the ability to use AI coding agents efficiently to accelerate

development

Ability to understand business requirements, engage confidently with stakeholders, and translate those requirements into

reliable data products

Strong communication and collaboration skills across both technical and non-technical audiences

PERKS AND BENEFITS

Opportunity to work with some of the smartest minds to solve complex challenges at scale.

Impactful role in shaping and securing a global, cloud-native & AI driven platform.

Innovative, collaborative, and fast-paced culture.

Current Tekion Employees – Please apply via Greenhouse Internal Job Board

---------------------------------------------------------------------------------------------------------------------------------

Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national

origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender

expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family

member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally

protected characteristics.

For more information on our privacy practices, please refer to our Applicant Privacy Notice here

[https://tekion.com/legal/privacy/applicant-and-candidate-privacy-notice].

Role

Software Engineer II

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In this role, you will help build secure and scalable software capabilities that integrate with SonicWall's Unified Management (UM) platform and Shared Services Platform (SSP) to meet the unique operational needs of enterprise customers, Managed Service Providers (MSPs), and Managed Security Service Providers (MSSPs) around the globe. You will design and build cloud-native and on-premises microservices, RESTful APIs, real-time communication layers, and frontend components that power NSM's security policy management, device orchestration, and network visibility features. This role spans backend-first full-stack development and demands a security-first engineering mindset, strong Go proficiency, and the ability to leverage AI-assisted development tools responsibly and critically. You will work as part of a globally distributed engineering team across India, USA, and other development centres, collaborating cross-functionally with engineers, QA, and product teams to deliver high-quality features in an agile, fast-paced environment. EDUCATION AND EXPERIENCE: * At least 10 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 6 years’ experience; or equivalent experience preferred   * Degree in Computer Science, Engineering, or related field preferred RESPONSIBILITIES * Defining technical strategy/architecture direction. * Mentoring and growing senior engineers, and driving engineering standards adoption * Collaborate with AI coding tools - validating, testing, debugging, refining generated code, establishing coding standards and AI guardrails. * Lead end-to-end system design — from requirements decomposition through to deployment topology, data modelling, and API contracts * Collaborate with engineering managers and product leads on roadmap feasibility, effort estimation, and technical risk assessment * Design, develop, and maintain high-performance Go-based microservices for NSM's cloud and On-Prem deployments * Build and evolve RESTful API endpoints serving enterprise customers at scale * Implement and maintain certificate-based connection trust (mTLS) for secure service-to-service and client-to-service communication * Adopt a secure software development framework and ensure that the software development process addresses the OWASP Top 10 risks from design to delivery. * Instrument software services with structured logging, distributed tracing, and metrics using Open Telemetry, New Relic, and OpenSearch * Contribute to both cloud-native (AWS/Kubernetes) and On-Prem microservice deployments, ensuring feature and security parity REQUIRED SKILLS * AI-Assisted Coding: Proficient use of AI coding tools is expected as a force multiplier applied with engineering rigor. * Critical validation - Identify and fix security vulnerabilities, logic errors, and inefficiencies in AI-generated code. * Iterative collaboration - Work with AI to refine, test, and improve code in small, reviewable chunks rather than accept large, unreviewed outputs. * Secure Coding - Hands-on knowledge of the OWASP Top 10, threat modelling and secure design code review. * System Design * Ability to design distributed systems at scale * Experience designing multi-tenant SaaS architectures * Familiarity with event-driven architecture at scale * Languages, APIs and Databases * Golang - 8 to 10 years of software development using Golang on Linux or MacOS * Microservices - inter-service communication (gRPC/REST), event-driven patterns * RESTful API design -versioning, security, OpenAPI specification * WebSockets — real-time bidirectional communication. * mTLS & Certificate Trust - mutual TLS configuration, x509 certificate lifecycle, PKI integration, client identity verification * Databases - MongoDB: Core operations - CRUD, aggregation pipeline, indexing strategies, Schema design, Query optimization. * Structured Logging & Observability * Open Telemetry - instrumentation code for distributed traces, metrics, and logs using the OTel SDK. * New Relic - APM integration, custom dashboards, alert policy configuration, service maps for cloud-native workloads * OpenSearch - structured log ingestion, familiarity with OpenSearch Dashboards for observability workflows * Cloud-Native Development - AWS & Kubernetes * AWS - EKS, EC2, S3, IAM, EMR, VPC, Security Groups, KMS, CloudWatch * Kubernetes - Service Mesh (Istio), Container Network Interface (CNI), eBPF, Secrets, RBAC, network policies, Pod Security Standards, Helm * Network Security * Familiarity with basic Networking Security Concepts - OSI & TCP/IP Model, Firewall & Traffic Control * Familiarity with firewall policy lifecycle — creation, review, audit, and automated compliance checks * Familiarity with SD-WAN and (IPSec/IKEv2/WireGuard) VPN topologies. CANDIDATE PROFILE * Strong problem-solving skills with the ability to quickly troubleshoot and resolve issues in production environments * Self-motivated, well-organized, and an effective team player in a globally distributed setup * Excellent written and verbal communication skills — able to articulate technical decisions clearly to peers and stakeholders * Proficient with Git and code versioning workflows * Familiarity with Atlassian tools - JIRA for sprint and issue tracking, Confluence for documentation and knowledge sharing #LI-KB7 #LI- Hybrid #Golang #networking SonicWall is an equal opportunity employer. We are committed to creating a diverse environment and are an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. At SonicWall, we pride ourselves on recruiting a diverse mix of talented people and providing active security solutions in 100+ countries. Applicant Privacy Notice [https://www.sonicwall.com/legal/job-applicant-privacy-notice/]

Deadline: Aug 22Posted: Jul 22

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