3 months ago

Software Engineer - Customer Experience

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 41 minutes agoStatus: Live

Job Summary

Build and integrate AI-enabled customer experiences for a CRM-driven platform, combining Salesforce, AWS, and modern generative AI. Architect scalable backend services, LLM orchestration, and secure APIs while collaborating with product, security, and infrastructure teams in a Scrum environment. Emphasis on observability, reliability, and enterprise-grade deployments.

Location: Poland

Workplace: Remote

Employment Type: Full time

Job Function: Customer Success & Account Management

Key Responsibilities

•Design, build, and evolve intelligent customer experience solutions that integrate Salesforce CRM with AWS services and modern generative AI capabilities.
•Develop AI-powered experiences using Amazon Bedrock, LangChain, and modern LLM integration patterns to create context-aware, scalable, and customer-facing solutions.
•Build robust backend services and integrations to support customer workflows, including LLM orchestration, prompt workflows, RAG pipelines, and other generative AI features.
•Design and deliver complex customer experience initiatives from technical discovery through production deployment, ensuring scalability, reliability, and maintainability.
•Develop and refine prompt engineering strategies, grounding approaches, and AI interaction patterns that improve the quality, relevance, and safety of customer-facing AI experiences.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceAnnual BonusEquityPaid Leave

Key Requirements

•3+ years of professional software engineering experience, with at least 3+ years in customer-facing platforms, enterprise integrations, or CRM-driven systems.
•Expertise in backend and application development using Python or Java, JavaScript or TypeScript, with the ability to build production-grade, scalable software systems.
•Strong experience designing and building cloud-native solutions on AWS, including Lambda, S3, RDS, API Gateway, and CloudWatch, with a focus on scalability, resilience, and security.
•Proven experience integrating LLMs and generative AI capabilities into production-ready applications, ideally using Amazon Bedrock, LangChain, or similar frameworks.
•Experience building AI-powered backend services such as prompt orchestration layers, RAG workflows, retrieval pipelines, or other intelligent application patterns.

Experience:3+ yearsEnterpriseCRMCustomer-facing

Skills:PythonJavaJavaScriptTypeScriptAWSLambdaS3RDSAPI GatewayCloudWatchBedrockLangChainLLMCI/CDGitHubGearsetAgileScrum

Languages:English

Tech Stack:PythonJavaJavaScriptTypeScriptAWSLambdaS3RDSAPI GatewayCloudWatchBedrockLangChainLLMGitHubGearsetCI/CD

Company Brief

Okta

Provides identity and access management cloud solutions that help organizations secure and manage user authentication, single sign-on, multi-factor authentication, and lifecycle management across applications and devices.

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2009

Website LinkedIn

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Okta

3 months ago

Software Engineer - Customer Experience

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 41 minutes agoStatus: Live

Job Summary

Location: Poland

Workplace: Remote

Employment Type: Full time

Job Function: Customer Success & Account Management

Key Responsibilities

•Design, build, and evolve intelligent customer experience solutions that integrate Salesforce CRM with AWS services and modern generative AI capabilities.
•Develop AI-powered experiences using Amazon Bedrock, LangChain, and modern LLM integration patterns to create context-aware, scalable, and customer-facing solutions.
•Build robust backend services and integrations to support customer workflows, including LLM orchestration, prompt workflows, RAG pipelines, and other generative AI features.
•Design and deliver complex customer experience initiatives from technical discovery through production deployment, ensuring scalability, reliability, and maintainability.
•Develop and refine prompt engineering strategies, grounding approaches, and AI interaction patterns that improve the quality, relevance, and safety of customer-facing AI experiences.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceAnnual BonusEquityPaid Leave

Key Requirements

•3+ years of professional software engineering experience, with at least 3+ years in customer-facing platforms, enterprise integrations, or CRM-driven systems.
•Expertise in backend and application development using Python or Java, JavaScript or TypeScript, with the ability to build production-grade, scalable software systems.
•Strong experience designing and building cloud-native solutions on AWS, including Lambda, S3, RDS, API Gateway, and CloudWatch, with a focus on scalability, resilience, and security.
•Proven experience integrating LLMs and generative AI capabilities into production-ready applications, ideally using Amazon Bedrock, LangChain, or similar frameworks.
•Experience building AI-powered backend services such as prompt orchestration layers, RAG workflows, retrieval pipelines, or other intelligent application patterns.

Experience:3+ yearsEnterpriseCRMCustomer-facing

Skills:PythonJavaJavaScriptTypeScriptAWSLambdaS3RDSAPI GatewayCloudWatchBedrockLangChainLLMCI/CDGitHubGearsetAgileScrum

Languages:English

Tech Stack:PythonJavaJavaScriptTypeScriptAWSLambdaS3RDSAPI GatewayCloudWatchBedrockLangChainLLMGitHubGearsetCI/CD

Company Brief

Okta

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2009

Website LinkedIn