Software Engineer Intern (Fall 2026)

Okta

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.   Okta is The World’s Identity Company. We free everyone to safely use any technology - anywhere, on any device or app. Our Identity as a Service solution enables secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. THE ENGINEERING OPPORTUNITY Okta's Workforce Identity Cloud (WIC) secures billions of global logins every day. The Resilience Team within WIC maximizes service availability by building foundational, high-scale systems. Our engineers solve complex distributed-systems challenges - from database proxies to traffic shaping - to ensure the platform remains trustworthy and reliable for every customer. We are seeking a Staff Back-End Software Engineer to lead technical initiatives and own the reliability of our expanding Identity as a Service platform. In this role, you will develop microservices, build innovative frameworks, and optimize our cloud-native environment. You will champion reliability during design phases and collaborate across teams to address technical gaps. We value iterative development, automated testing, and individual ownership. Join our creative, fast-paced team to work on impactful projects that are redefining the cloud computing landscape. JOB DUTIES AND RESPONSIBILITIES * Partner with engineering teams to design, develop, and deliver cloud-based infrastructure projects that solve complex reliability issues and help Okta’s service scale. * Design and implement robust backend frameworks, tools, microservices, and library components for the entire engineering organization to use at scale. * Champion innovative, scalable, and resilient solutions across the engineering organization, advising other teams on fault-tolerant system design. * Actively explore and integrate modern AI-driven developer tooling, automated diagnostics, and predictive monitoring capabilities to streamline performance testing, accelerate debugging, and optimize service reliability. * Conduct rigorous design and code reviews. Raise the engineering bar by implementing high-quality unit and functional tests to ensure robust programming standards. * Participate in and lead incident Root Cause Analysis (RCA) processes to continuously improve reliability, identify systemic weaknesses, and build long-term mitigation strategies. * Collaborate closely with Architects, QA, Product Owners, Engineering Services, and Tech Ops to deliver highly secure and dependable software. * Help with mentoring new engineering hires and interns. MINIMUM REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES * 8+ years of experience as a software developer with deep, expert-level knowledge of Java (Golang experience is a strong plus). * Demonstrated history of architecting, implementing, tuning, and debugging global cloud software. Deep understanding of microservices, cloud infrastructure (AWS preferred, Azure, or GCP), and modern container ecosystems (Docker, Kubernetes). * Proven track record of addressing scaling, redundancy, and performance bottlenecks in high-availability, multi-tenant SaaS environments. * Practical experience or strong interest in leveraging generative AI utilities and developer assistance tools (e.g., AI coding assistants, automated code-generation, intelligent log analytics, or predictive profiling tools) to drive development productivity and system optimization. * Outstanding communication and leadership skills with a proven ability to coordinate high-impact technical projects, manage stakeholder alignment, and influence technical direction. * Previous experience in a dedicated platform reliability, resilience, or core infrastructure role is highly valued. ***The employee must be either a U.S. citizen as defined in 42 U.S. Code § 9102; a natural person who is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3); or a U.S. national (i.e. includes citizens and non-citizens born in outlying possessions such as American Samoa and Swains Island), green card holders, refugees, and asylees. Working on a U.S. visa does NOT qualify as a U.S. person. EDUCATION AND TRAINING * B.S. or M.S. in Computer Science, a related field, or equivalent industry experience. #LI-Hybrid #LI-MA1 (P24485_3396786)   Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO 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/us.    The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $194,000—$243,000 USD 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.

Databricks

P-1137 SUMMARY At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 1500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has  a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.  The impact you will have: * Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services * Attract top talent from across the industry. * Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven * Represent Databricks at academic and industry conferences & events What we look for: * 5+ years of experience in Data Security or related areas  and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. * 5+ years of experience building large scale distributed systems with high availability * Leadership skills and experience to lead across functional and organizational lines * Strong communication skills to explain and evangelize Data Security to senior leaders across the company * Bias to action and passion for delivering high-quality solutions * MS or Ph.D. in Computer Science or related fields     Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $164,200—$225,700 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

RDQ426R282 Databricks is building the world's best and most secure platform for data and AI. We innovate and deploy industry-leading solutions in security, compliance, and governance.  As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance of the Databricks Platform. Our customers depend on Databricks to keep their data safe, all while orchestrating millions of virtual machines across three clouds in dozens of regions around the globe. Our engineering teams build highly technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is critical to making customers successful on our platform. We serve many companies with varying security and compliance needs. To efficiently serve these markets, we need to understand how customers use our existing features. This requires data-driven analysis of all aspects of security programs at Databricks. Customers also trust Databricks with their most valuable data and we have the mission to build the most trusted data analytics and ML platform in the world. We’re looking to expand our Trust and Safety Data Science team. You will join a group of “full stack” data scientists who partner with engineering and security teams, focusing on strategic plans that make Databricks secure and safe for our customers. The team will use statistical and machine learning techniques for fraud and abuse detection on our platforms using state of the art methods . You can read more about some of our efforts in this blog post. The work in fraud and abuse detection is dynamic and essential, offering an opportunity to make a substantial impact in maintaining the security and efficiency of business operations. More information is available at https://www.databricks.com/trust. The impact you will have: * You will develop and implement Machine Learning models to detect anomalous activity in products that we offer. * You will analyze the performance and pricing of security-related features and work with product and engineering teams to identify important opportunities. * You will collaborate with security engineers, trust and safety experts, and machine learning engineers to build a variety of systems and tools that protect Databricks and our customers from threats. * You will create solutions and frameworks to meet compliance requirements at Databricks * You will gather requirements, define project OKRs and milestones, and communicate progress to both technical and non-technical audiences. * You will guide junior data scientists and interns on the team by helping with project planning, technical decisions, and code and document review. * You will represent the data science discipline throughout the organization, using your powerful voice to make us more data-driven. * You will represent Databricks at academic and industrial conferences and events. What we look for: * 7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies * Understanding of good software engineering practices around testing, code reviews, and deployment. * Experience working in a highly cross functional alignment and talking about results to non-technical partners. * Experience deploying Data Science / ML solutions in production to achieve results. * Coding skills in SQL and a software development language (preferably Python) * Experience with distributed data processing systems like Spark and familiarity with software engineering principles. * Prior experience applying machine learning and data analytics to identify SaaS product misuse and enhance compliance preferred but not required. * Masters or higher in quantitative fields or equivalent experience in industry   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $192,000—$260,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.