Software Engineer - Customer Experience
About this role
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
What you'll be doing
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.
Design and implement resilient APIs, event-driven integrations, and backend services that connect Salesforce, AWS platforms, internal systems, and external applications.
Drive engineering excellence through strong CI/CD practices, using GitHub, Gearset, and deployment automation to support reliable and efficient releases.
Champion observability, operational excellence, and production support practices to ensure enterprise-grade reliability, performance, and supportability of customer-facing systems and AI services.
Participate in technical decision-making across architecture, integration design, AI/ML tooling, scalability, security, and long-term platform evolution.
Partner closely with product managers, designers, architects, security, data, and infrastructure teams to ensure solutions are aligned, secure, reliable, and enterprise-ready.
Collaborate effectively in a Scrum-based Agile environment, using Jira and Confluence to drive execution, document decisions, and maintain delivery transparency.
Evaluate emerging AI/ML technologies, frameworks, and engineering patterns, and apply them pragmatically to improve customer experience and operational efficiency.
What you'll bring to the role
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 services such as 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.
Strong software engineering fundamentals, including distributed systems design, API development, testing strategies, code quality, and maintainable architecture.
Experience with CI/CD pipelines, source control workflows, and automated deployments using tools such as GitHub and Gearset.
Working knowledge of Agile/Scrum delivery models, and experience partnering across product, engineering, and business teams in sprint-based execution.
Excellent communication skills with the ability to explain complex technical ideas clearly to both technical and non-technical audiences.
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.
- Design and implement resilient APIs, event-driven integrations, and backend services that connect Salesforce, AWS platforms, internal systems, and external applications.
- Drive engineering excellence through strong CI/CD practices, using GitHub, Gearset, and deployment automation to support reliable and efficient releases.
- Champion observability, operational excellence, and production support practices to ensure enterprise-grade reliability, performance, and supportability of customer-facing systems and AI services.
- Participate in technical decision-making across architecture, integration design, AI/ML tooling, scalability, security, and long-term platform evolution.
- Partner closely with product managers, designers, architects, security, data, and infrastructure teams to ensure solutions are aligned, secure, reliable, and enterprise-ready.
- Collaborate effectively in a Scrum-based Agile environment, using Jira and Confluence to drive execution, document decisions, and maintain delivery transparency.
- Evaluate emerging AI/ML technologies, frameworks, and engineering patterns, and apply them pragmatically to improve customer experience and operational efficiency.
- 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 services such as 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.
- Strong software engineering fundamentals, including distributed systems design, API development, testing strategies, code quality, and maintainable architecture.
- Experience with CI/CD pipelines, source control workflows, and automated deployments using tools such as GitHub and Gearset.
- Working knowledge of Agile/Scrum delivery models, and experience partnering across product, engineering, and business teams in sprint-based execution.
- Excellent communication skills with the ability to explain complex technical ideas clearly to both technical and non-technical audiences.
- Hands-on experience with Salesforce architecture and development, including Apex, Lightning, Flow, APIs, and data models, with a strong understanding of enterprise CRM workflows.
Requirements
- Experience with advanced prompt engineering, evaluation strategies, and optimization techniques for customer-facing AI applications.
- Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.
- Experience with LangGraph, LangSmith, agentic workflows, or related frameworks for orchestrating more advanced AI application behavior.
- Background in enterprise security, compliance, and data governance , especially as it relates to AI adoption and customer data protection.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes .
- Exposure to advanced AWS services such as SageMaker, AppConfig, or event-driven architectures.
- Track record of leading cross-functional technical initiatives or delivering large-scale platform improvements.
- Technical leadership and the ability to guide architecture, influence decisions, and elevate engineering practices across the team.
- Strong engineering discipline, with a focus on clean design, maintainable code, observability, testing, and production excellence.
- AI curiosity and pragmatism, balancing innovation with responsible, scalable implementation of emerging technologies.
- Ownership mindset, taking responsibility from idea to implementation to operational success.
- Mentorship and collaboration, with a genuine interest in helping others grow and working effectively across teams and functions.
- Customer focus, with the ability to connect technical solutions to better customer and business outcomes.
- Lead innovation at the intersection of enterprise customer platforms and cutting-edge AI technology.
- Build intelligent, customer-facing solutions that have direct business impact and improve the overall customer experience.
- Shape technical direction for AI-enabled capabilities across Salesforce, AWS, and modern integration platforms.
- Work with a team that values engineering excellence, collaboration, and thoughtful adoption of emerging technologies.
- Mentor engineers, influence architectural decisions, and play a key role in the evolution of our customer experience platform.
- #LI-Remote
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
Nice to have
- Hands-on experience with Salesforce architecture and development, including Apex, Lightning, Flow, APIs, and data models, with a strong understanding of enterprise CRM workflows.
- Experience with advanced prompt engineering, evaluation strategies, and optimization techniques for customer-facing AI applications.
- Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.
- Experience with LangGraph, LangSmith, agentic workflows, or related frameworks for orchestrating more advanced AI application behavior.
- Background in enterprise security, compliance, and data governance , especially as it relates to AI adoption and customer data protection.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes .
- Exposure to advanced AWS services such as SageMaker, AppConfig, or event-driven architectures.
- Track record of leading cross-functional technical initiatives or delivering large-scale platform improvements.
- What we value
- Technical leadership and the ability to guide architecture, influence decisions, and elevate engineering practices across the team.
- Strong engineering discipline, with a focus on clean design, maintainable code, observability, testing, and production excellence.
- AI curiosity and pragmatism, balancing innovation with responsible, scalable implementation of emerging technologies.
- Ownership mindset, taking responsibility from idea to implementation to operational success.
- Mentorship and collaboration, with a genuine interest in helping others grow and working effectively across teams and functions.
- Customer focus, with the ability to connect technical solutions to better customer and business outcomes.
- Why join us
- Lead innovation at the intersection of enterprise customer platforms and cutting-edge AI technology.
- Build intelligent, customer-facing solutions that have direct business impact and improve the overall customer experience.
- Shape technical direction for AI-enabled capabilities across Salesforce, AWS, and modern integration platforms.
- Work with a team that values engineering excellence, collaboration, and thoughtful adoption of emerging technologies.
- Mentor engineers, influence architectural decisions, and play a key role in the evolution of our customer experience platform.
- (P20321_3423426)
- #LI-Remote
- Below is the annual salary range for candidates located in Poland. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and comprehensive healthcare coverage and financial benefits including paid time off and parental leave in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/pol.
- The annual base salary range for this position for candidates located in Poland is between:
- 161 000 zł—236 000 zł PLN
- The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
- We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
- Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
- If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
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- Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.