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.
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.
We are seeking an independent Senior Software Engineer who effectively balances technical excellence with a disciplined approach to the software development lifecycle.
What you'll be doing
- Design, build, and evolve intelligent marketing technology solutions that integrate Salesforce CRM with AWS services and modern generative AI capabilities.
- Architect and develop AI-powered experiences using Amazon Bedrock, LangChain, and modern LLM integration patterns to create context-aware, scalable, and mature solutions.
- Build robust backend services and integrations to support MarTech workflows, including LLM orchestration, prompt workflows, RAG pipelines, and other generative AI features.
- Lead the design and delivery of complex marketing technology 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 marketing technology 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 marketing technology systems and AI services.
- Mentor junior and mid-level engineers through technical guidance, code reviews, design reviews, and hands-on collaboration, raising the bar on engineering quality across the team.
- Lead 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
- 5+ years of professional software engineering experience, with at least 3+ years in marketing technology platforms, enterprise integrations, or CRM-driven systems.
- Strong expertise in backend and application development using Python or Java, JavaScrip 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 building and supporting CI/CD pipelines, source control workflows, and automated deployments using tools such as GitHub and Gearset.
- Ability to lead architecture discussions, influence technical strategy, and make sound engineering decisions across multiple systems and stakeholders.
- Demonstrated experience mentoring engineers and helping teams improve engineering practices, technical quality, and delivery maturity.
- Strong 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.
Nice to have
- Deep 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 marketing technology 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.
- 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 marketing technology platforms and cutting-edge AI technology.
- Build intelligent, marketing technology solutions that have direct business impact and improve the overall marketing technology.
- 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 marketing technology platform.
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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.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Skills Required
- 5+ years professional software engineering experience
- 3+ years experience with marketing technology platforms, enterprise integrations, or CRM-driven systems
- Backend and application development using Python or Java
- Frontend or application development using JavaScript or TypeScript
- Designing and building cloud-native solutions on AWS (Lambda, S3, RDS, API Gateway, CloudWatch)
- Proven experience integrating LLMs and generative AI into production applications (eg. Amazon Bedrock, LangChain)
- Experience building AI backend services: prompt orchestration, RAG workflows, retrieval pipelines
- Strong software engineering fundamentals: distributed systems, API development, testing, maintainable architecture
- Experience building and supporting CI/CD pipelines and automated deployments using GitHub and Gearset
- Ability to lead architecture discussions and make technical decisions across systems and stakeholders
- Demonstrated experience mentoring junior and mid-level engineers
- Experience working in Agile/Scrum teams and using Jira and Confluence
- Deep hands-on Salesforce architecture and development (Apex, Lightning, Flow, APIs) - nice to have
- Familiarity with vector databases, embeddings, and RAG architectures - nice to have
- Experience with LangGraph, LangSmith, or agentic orchestration frameworks - nice to have
- Experience with Docker and Kubernetes - nice to have
- Exposure to advanced AWS services such as SageMaker or AppConfig - nice to have
Okta Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Okta and has not been reviewed or approved by Okta.
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Healthcare Strength — Health coverage spans medical, dental, vision, mental-health support, and income protection, complemented by preventive care options and wellness resources. These elements indicate robust coverage for both routine needs and more complex situations.
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Parental & Family Support — Policies include paid parental leave, adoption and surrogacy assistance, and fertility and family‑building benefits. Caregiving resources and flexible arrangements help employees navigate family responsibilities.
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Leave & Time Off Breadth — Flexible or unlimited PTO, separate sick time, paid holidays, and a company Wellbeing Week provide multiple avenues for time away. This breadth supports rest, recovery, and work‑life balance.
Okta Insights
What We Do
Okta is the leading independent identity provider. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With more than 7,000 pre-built integrations to applications and infrastructure providers, Okta provides simple and secure access to people and organizations everywhere, giving them the confidence to reach their full potential. More than 10,000 organizations, including JetBlue, Nordstrom, Siemens, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.
