Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

What you’ll do

Responsibilities

• Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests. 
• Design the next generation of Stripe products to meet the high growth needs of our company and customers.
• Analyze product requirements, user needs and feedback and translate them into technical specifications and determine the feasibility of design, taking into account cost and time constraints.
• Review API launches and library shapes for other teams to ensure that backwards and forward compatibility, coherent patterns, and extensibility meet our quality standards.
• Act as the team’s representative during technical meetings, and understand how their systems interact with the broader landscape within the company.
• Mentor early-career engineers to help them grow and spin up into independent engineers.
• Construct core engineering tenets and design principles for their team’s projects.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• Must have a Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, or a related field, plus 3 years of software developer or related work experience.
• Must also have 3 years of experience in each of the following:
• Building software solutions using Ruby, Java, and Typescript;
• Defining storage schemas for relational, document or columnar databases;
• Querying data stores using SQL;
• Building and integrating service endpoints using GRPC, REST,or GraphQL; and
• Building systems integrated with event processing technologies including SQS or Kafka.

Salary: $190,400 - $285,600/yr.

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week

50% Telecommuting Permitted.

Multiple Positions Available. 

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA03

#LI-DNI

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their users' identities for fraud prevention, regulatory compliance, and trust and safety purposes.

At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more adoption.

Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at the frontier of what's possible in identity engineering.

What you’ll do

As a Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural influence, and the ability to turn an ambitious vision into a reliable, scalable system.

Responsibilities

• Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform, fraud detection infrastructure), make build-vs-buy-vs-partner decisions, and surface technical risks before they become customer-facing failures
• Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution from a hosted-UI product to a headless-API and embedded-components platform
• Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML, product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the full breadth of Stripe's product surface
• Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor senior engineers on the judgment needed to operate a high-stakes, externally-facing product
• Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the observability and alerting that catch model drift and fraud pattern shifts before customers do

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role.
• Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products). 
• Proven track record of delivering pragmatic solutions that accelerate business growth 
• Ability to adjust conversations from high-level discussions to detailed coding 
• Thrives on a high level of autonomy and responsibility 
• Clear and persuasive writing and in-person communication 
• Strong problem-solving skills, critical thinking, determination, and a growth mindset 
• Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high level of psychological safety for all team members and partner
• Has experience in a range of software languages and frameworks. Examples of what we work with include:
• Languages: primarily Ruby and Typescript, but also Python, Scala, Java, Go, and SQL (Spark and Trino dialects)
• Frameworks: React, GraphQL Kafka, Protobuf, Airflow, Bazel, Temporal, 
• Others: Mongo, Splunk, Prometheus

Preferred qualifications

• Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial inputs at scale
• Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback loops that keep models accurate under adversarial conditions
• Experience building platform products with multiple consumer types — internal platform teams and external developers — where API backward compatibility and abstraction quality are first-class concerns
• Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly
• Exposure to the technical stack we work with: primarily Ruby and TypeScript on the backend and web, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, and distributed data stores
• Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge

Why Stripe Identity

• The market is at an inflection point. The global identity verification market is growing at ~15% CAGR, from $12.5B in 2024 to $21.8B by 2028. Competitors have more features today — but none of them have Stripe's moat: payments signals, fraud network, consumer graph, and KYC data spanning the full financial ecosystem. We're building to win the next decade, not the last one.
• The problems are genuinely hard. Adversarial ML against deepfakes and face swaps. Distributed identity graph architecture with real-time freshness requirements. Progressive verification APIs that minimize friction without sacrificing fraud detection accuracy. These are unsolved problems — not just at Stripe, but in the industry.
• You'll work on systems that matter immediately. The verifications we run protect real users from real fraud. When our recall improves by 10 points, that's millions of dollars in prevented fraud losses for customers who rely on us. When our mobile SDK completion rate rises, thousands more legitimate users successfully onboard each month.
• The team is small enough that your judgment shapes the architecture. This isn't a role where you inherit decisions made five years ago. It's a role where the decisions you make in 2026 are the ones the team will build on through 2029.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Privacy products’ mission is to build trust that Stripe is a responsible steward of user’s data while managing privacy risk and enabling business growth. The team does this by building industry leading privacy products and foundational privacy infrastructure. These products provide: transparency to our users about Stripe’s data practices, choices and controls to our users about their data, and solutions to our customers to manage their privacy. The infrastructure we build allows Stripe engineers to meet our users’ expectations and regulatory requirements for how Stripe handles and safeguards user data. Stripe’s operating principles focus on putting users first. This means the businesses built on Stripe and consumers who use payments through Stripe need to trust Stripe to process their data. Protecting our user’s data and prioritizing privacy is how we put users first.

What you’ll do

As a privacy products engineer at Stripe, you’ll build products that our customers and consumers use to manage their privacy needs. The customer facing product portfolio includes data access tooling (Data Access Tool) within a privacy portal and a new redaction API. The non-customer facing portfolio includes internal libraries and tooling such as cookie and consent frameworks and data access and deletion pipelines. Your role heavily impacts Stripe's overall privacy posture, and you'll collaborate cross-functionally with product owners, engineering teams, privacy legal, and ops teams. Your work is not only impactful; it is critical to the long-term success of Stripe and our users. 

Responsibilities

• Design, build, and extend external facing privacy products such as the data access tool and privacy portal
• Build API products for customers to help them manage their privacy requirements
• Build internal tools for other Stripe teams to help manage their privacy requirements
• Build and extend our data access and deletion pipelines
• Collaborate with our users and on cross-functional teams to extend our privacy systems

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 6+ years of professional hands-on software development experience
• Empathy, strong communication skills and a deep respect for the power of collaboration
• Able to work well individually, cross-team, and cross-functionally
• The ability to drive clear next steps when encountering ambiguous spaces without clear lines of ownership
• Excellent problem-solving skills and attention to detail
• High standards for code quality and a constructive attitude to help others raise the bar

Preferred qualifications

• Experience with privacy regulations (GDPR, CCPA, etc.) and implementing technical solutions to address them
• Experience with complex data pipelines over large datasets
• Experience designing and building user-facing privacy tools
• Experience with Ruby or Java in production environments

Who we are

About Stripe

Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

What you’ll do

Responsibilities

• Design, build, productionize, and maintain APls, services, and systems across Stripe's engineering teams using Ruby, React, Typescript, and other programming languages.
• Predict and measure the performance and outcomes of designed systems.
•  Collaborate with engineers and other cross-functional roles across the company to build new billing features at large-scale to make it easier to businesses for collect and manage their payments.
• Analyze user needs, feedback, and product requirements to determine technical specifications and the feasibility of design and implementation, taking cost and time constraints into account. 
• Implement technical designs through a series of programming tasks while upholding high engineering standards.
• Implement unit, functional, and integration tests to prevent bugs and regressions.
• Improve engineering standards, tooling, and processes ensuring operational excellence and contribute to team's on-call rotation.
• Debug and identify the root cause of errors in a complex system across multiple service components.
• Provide mentorship and help onboard and spin up new hires for the team.

Who you are

Minimum requirements

Bachelor’s degree or foreign equivalent in Computer science, Human-Computer Interaction or related fields, plus 18 months of software engineering experience.

This position requires following:

• 1.5 years of experience working with Ruby, React, Typescript, and other relevant programming languages and frameworks; 
• 1.5 years of experience translating business needs into software requirements and designs and implementing industry standard design patterns; 
• 1.5 years of experience with using SQL or related query languages to perform data analysis; 
• 1.5 years of experience working with API development, participating in team's oncall to provide emergency response, and debugging production issues across services; 
• 1.5 years of experience leading cross team projects, scoping implementation plans, and managing cross team dependencies; and 
• 1.5 years of experience participating in team's on-call rotation, providing emergency responses, debugging and mitigating production issues.

Salary: $156,800 – $235,200/yr.  

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week.

Up to 50% remote work permitted. 

Multiple Positions Available.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. - WA11 #LI-DNI

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Stripe Assistant team is transforming how users interact with Stripe by building an intelligent and proactive assistant that not only answers users’ queries but efficiently resolves issues and provides valuable business insights. We leverage LLMs and agentic systems to elevate the user experience across Stripe—from the dashboard to support surfaces—and we enable other teams to build and integrate their AI agents on our platform. We’re evolving from a helpful support tool to a trusted pilot that anticipates, optimizes, and executes on behalf of our users.

What you’ll do

As a Senior Machine Learning Engineer on the Stripe Assistant team, you’ll own the end-to-end ML and agent architecture that makes Stripe Assistant safe, reliable, and deeply useful. You’ll set the strategy for how the Assistant executes high-trust actions, delivers accurate analytical answers across Stripe and the broader web, orchestrates capabilities across many tools and agents, and grounds responses in authoritative Stripe and user data—so users can resolve issues quickly and confidently.

You’ll drive conversation continuity and personalization across surfaces, evolve the Assistant into a proactive partner that anticipates user needs, and deepen its presence in the dashboard to streamline critical workflows. You’ll establish rigorous evaluation and SLOs and deliver step‑change improvements in quality, latency, cost, and availability—paving the way for configurable levels of autonomy and, ultimately, a dependable operating layer over a merchant’s Stripe account.

Responsibilities

Our team operates fluidly and here are some problems you may tackle:

• Establish trustworthy, human-in-the-loop execution for high-trust “write” actions—prioritizing user control, transparency, accountability, and auditability so customers can delegate with confidence.
• Define and evolve the Assistant’s capability and governance model across hundreds of tools and agents, balancing power, permissions, and consistency at scale.
• Raise answer quality and usefulness by grounding in authoritative Stripe knowledge and live user data, building cross-surface memory and personalization, and making the Assistant proactive and present in the dashboard.
• Explore and apply optimal machine learning methods to improve Stripe Assistant’s overall performance, including but not limited to fine-tuning LLMs with RLHF, synthetic data generation, optimizing RAG pipelines via domain‑specific embedding and retriever fine‑tuning, and automatic prompt tuning, etc.
• Make quality and reliability a product: set and meet SLOs, build rigorous evaluation and benchmarking loops, and drive sustained improvements in latency, cost, and availability.
• Lead as a tech lead: mentor and grow engineers, uphold high bars for code quality, security, observability, and operational rigor, and align cross‑functionally to ship safely and fast.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years in AI/ML and backend engineering.
• Applied LLM experience: RAG/embeddings, tool use/function calling, agentic planning/orchestration, fine-tuning, code generation, evaluations, etc.
• Proficient in Python (Ruby is a plus); strong distributed systems fundamentals.
• Experience working closely with product management, design, other engineers, and other cross-functional partners.

Preferred qualifications

• Experience operating ML systems at global scale with stringent SLOs—balancing reliability, latency, and cost—with privacy, security, and compliance by design.
• Experience building products where AI/ML is core; as well as balancing short-term product priorities with long-term AI/ML improvements.
• Track record building ML platforms, especially those that enable multiple teams to collaborate together.
• Strong technical leadership and communication: mentoring and elevating engineers, elevating AI/ML awareness and posture within organizations, setting architectural direction, and driving alignment in ambiguity.

Join us to build a trustworthy, proactive AI operating layer for every Stripe merchant—advancing safety, reliability, and insight at global scale. If you’re ready to help take Stripe Assistant from copilot to full autopilot and shape how businesses connect with Stripe, we’d love to hear from you.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Stripe Terminal helps our users extend their online presence to the physical world. The Terminal team’s mission is to make it as easy for businesses to accept in-person payments as the Stripe API has done for online payments. Stripe was founded to make it easier for developers to accept payments. We’ve solved a small part of that problem, but our ambition is to go much further. 

Engineers on the Terminal Global Payments team will build and enhance the Payments Platform including the applications and services that run on the physical Terminal devices and expanding access to local payment methods, meeting our merchants/gateways where their in-person payment needs are. Your work will also include building the frameworks for other engineers, both internal and external to Stripe, to develop on our custom platform with ease. As part of this role, you will focus on working on Terminal’s Android devices and Tap to Pay development, with opportunities to build on Stripe’s backend payments infrastructure as well.

What you'll do

Responsibilities

• Design and develop end-to-end payment features spanning mobile applications, device-level integrations and backend services for a variety of devices and form factors.
• Collaborate closely with the Terminal backend and infrastructure teams to design and implement scalable payments solutions across Stripe's services.
• Support the development of mobile device testing infrastructure and automation frameworks 
• Work with engineers, product managers, designers, and stakeholders across the company to deliver complete features.
• Work with user research and product design to understand users and address their needs across the full stack.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• Have a strong technical background, with 2+ years of experience, working with at least 1 of the following: Java, Kotlin, Swift, Objective-C
• Experience building and maintaining backend services or distributed systems.
• Demonstrated ability to work across the stack, from mobile clients to backend infrastructure.

Preferred qualifications

• Experience with backend languages and frameworks (Ruby, Java, Golang, or similar)
• Payments expertise or domain knowledge
• Experience with SDKs, libraries, or developer-facing tools

About the role

We are looking for a Software Engineer to help build our new financial platform that is highly reliable, scalable, and will serve as the backbone for Chime. This platform will power the most important financial activities that millions of Chime members undertake every day. You will ensure that we build the highest levels of trust with our members by making our platform lightning-fast, available, secure, resilient and auditable. This is an exciting opportunity to be an invaluable member of a strategically important  initiative for Chime. 

The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Design, develop, test, and deploy components of a new financial platform
• Deliver secure, reliable, and high-performance infrastructure and APIs
• Work with our infrastructure engineering team to minimize the operational overhead of production systems you deploy
• Develop thoroughly tested code and conduct quality assurance on all new code alongside our QA team
• Learn and execute on agile methodologies, follow test driven development approach
• Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.

To thrive in this role, you have

• Must have experience in Go
• Experience in additional backend languages such as Ruby, Java and Python is preferred
• Have 4+ years of engineering experience
• Have contributed to the development of backend systems
• Experience in payment processing systems
• Take a rigorous approach to testing backed development
• Experience with AWS or other cloud platforms, Cloud Native technology, No-SQL Databases as a bonus!
• Have an understanding of architectural patterns of large, mission-critical production services as a bonus!
• Have worked in continuous integration/deployment environments as a bonus!
• Please note: If you are located in Seattle, you will be required to onboard in person at our SF HQ + occasional business travel.

#LI-Onsite #LI-GC1

Who we are

About Bridge

Bridge is Stripe’s fintech innovation hub focused on building a modern, stablecoin-powered cross-border payments network. We operate like a startup within Stripe: fast-paced, entrepreneurial, and product-obsessed, but with the backing of one of the most trusted names in fintech.

We’re hiring a Security Engineer to build and scale Bridge’s security foundation. This is a rare opportunity to design a security program from the ground up, while also leveraging the infrastructure, best practices, and tooling of one of the most mature security organizations in the industry.

What you’ll do

Responsibilities

• Design, and implement Bridge’s security roadmap from first principles to production.
• Identify and tackle Bridge’s most important security risks quickly and pragmatically.
• Integrate with Stripe’s infrastructure where it makes sense, and find custom solutions where it doesn’t.
• Lead threat modeling and hardening efforts for Bridge’s money movement systems in collaboration with crypto and infra teams.
• Build key security capabilities (monitoring, secrets management, incident response, access controls, CI/CD hardening, etc).
• Reinforce engineering best practices around secure development and infrastructure.
• Ensure Bridge meets compliance and audit expectations as we scale to more regulated markets.
• Collaborate cross-functionally with engineering, product, and Stripe’s security org to move fast without compromising safety.

About you

You might be a good fit if you:

• Have 8+ years of experience in Security engineering, ideally with time spent in fast-paced startup environments where you’ve built security practices from the ground up.
• Have a startup mindset: you’re scrappy, pragmatic, and move quickly to solve the most critical problems.
• Are comfortable writing and debugging backend application code (Ruby is a plus, but not required).
• Thrive in ambiguity and know how to ruthlessly prioritize.
• Can balance security rigor with speed, especially in fast-moving environments.
• Communicate clearly across technical and non-technical partners.
• Have experience building or scaling security programs, either at a startup or in an embedded role.
• Are excited about the potential of crypto and stablecoins to power global financial infrastructure (you don’t need deep prior knowledge—just curiosity and openness to learn).

Position Description:

The Services PreSales Architect is a technical authority on both cloud and on-premises based IAM systems and is responsible for ensuring the successful design and implementation of Okta’s & Auth0’s industry leading cloud identity platform for our customers. Your main focus will be on driving the success of Okta's and Auth0's identity offerings. You will cultivate strong, trusted partnerships with customers, concentrating on their success and helping them achieve their business goals by promoting innovative and creative solutions. A key part of your role is to translate customer business needs and insights into a clear, actionable strategy that the delivery team can execute to help customers achieve tangible results and high business value from their initiatives. This is a key member of the Professional Services (PS) Pre-Sales team.

Job Duties and Responsibilities:

• Lead the pre-sales discovery of functional and technical requirements required to establish an Identity platform for our customers. 
• Lead Partners, Customers and Engagement Managers to document and mitigate technical risk identified during discovery.
• Create estimates to implement the proposed solution.
• Review services estimates to ensure project scope can be successfully delivered as outlined - technical risk is appropriately mitigated and timelines follow staffing guidelines.
• Lead and develop co-delivery proposals by identifying and engaging appropriate partners.
• Drive New Product Introduction (NPI) across PS by training Engagement Managers and developing associated assets such as scope modules, SKUs, success stories and enablement toolkits.

Minimum REQUIRED Knowledge, Skills, and Abilities:

• 10+ years of overall IT / software development experience, solution design and technical architecture experience
• 5+ years of Okta implementation experience
• 5+ years of consulting experience
• 5+ years driving application architecture design
• 5+ years of experience with (IAM) architectures
• Experience with employee and customer identity use cases: HR driven identity, Active Directory, SSO, SaaS application integrations.
• Experience with Identity Governance and Privileged Access Management use cases. 
• Demonstrated ability to work and interact with high-level customer executives and technical resources.
• Experience in leading discovery workshops to derive customer requirements and specifications.
• Experience in developing functional specifications and system design specifications for customer engagements.
• Strong knowledge of Security Architecture, Design and Operations, LDAP, Active Directory, SSO, SAML, OIDC, RBAC, OAuth, JSON, REST.
• Experience integrating with a multitude of On-Prem and SaaS based products.
• Exhibits confidence and a deep understanding of emerging industry practices when solving business problems.
• Identifies critical issues with ease.
• Effectively communicates technical information to non-technical audiences.
• Manages customer expectations effectively.
• Application design experience.
• Clear and Dynamic Communication.
• Ability to travel up to 50%

Highly Desirable Knowledge, Skills, and Abilities:

• Knowledge of software development security and cryptography.
• Familiarity with IAM solution providers.
• Experience with API Gateways, CASB, and Reverse Proxies (NGINX)
• Proficiency with various open-source software and development tools
• Proficiency in one or more of the following: .Net, Ruby, Java, Python or Perl

Education and Certification

• A Bachelor’s degree (or equivalent) in Computer Science, Information Technology or related discipline required.
• Okta Certified Technical Architect or a combination of Okta Certified Consultant and Okta Certified Developer is a plus.
• CISSP certification is a plus.
• TOGAF certification is a plus.

#LI-BF1

#LI-Hybrid

P10902_3357735

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.

This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.

 What You Will Be Doing: 

As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.

• Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
• Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
• Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
• Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
• Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
• Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
• Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
• Provide regular presentations articulating product benefits, functionality, and technical solutions.
• Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
• Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
• Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
• Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
• Identify and drive process improvement opportunities and promote technical best practices across the organization.
• Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
• Build tools to enhance the experience of Premium Support customers and improve platform usability.
• Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
• Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
• Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.

What We'll Expect From You:

• Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
• Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
• Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
• Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
• Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
• Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
• Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
• Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
• Passionate about customer experience and leveraging AI/ML to solve complex business problems.
• Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
• Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
• Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
• Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
• Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
• Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
• Fluency in English.
• Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit: 

• Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
• NVIDIA Certifications around GPU and AI/ML
• Networking: Cisco/Juniper Certifications
• Programming/Scripting: Ruby, Python, Go, Bash
• Source Code: Git
• Automation: Terraform, Ansible, Chef, Puppet, Saltstack
• Virtualization: KVM, Xen
• Databases: MongoDB, MySQL, Redis, PostgreSQL
• Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
• DigitalOcean: API, libraries, services
• Linux: RHCSA/RHCE

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7695

#LI-Remote

The Community You Will Join:

At Airbnb, we believe technology has the power to bring people together — and our engineers are the ones building it. Our Engineering org is a diverse, fast-moving group of teams working across Payments, Trust, Marketing, Relevance & Personalization, and more. Together, we're tackling some of the hardest problems in tech: search relevance at global scale, fraud prevention, seamless payments, and fueling growth — all while delivering a product experience that feels effortless and beautiful. We're also at the forefront of integrating AI and machine learning into our products — from personalized search experiences to intelligent trust and safety systems — and we're looking for curious engineers who are excited to grow alongside this technology.

If you're energized by engineering that creates real-world human connection — and by the idea that your code will be experienced by millions of people around the world — you'll feel right at home here.

The Difference You Will Make:

As a Software Engineer (New Grad) at Airbnb, you’ll play a vital role in building, supporting, and refining the products and systems that make Airbnb’s mission possible. Your work will directly contribute to high-quality, reliable experiences for our global community—whether you’re fixing bugs, launching well-defined features, or enhancing existing components. You'll also have the opportunity to contribute to AI-powered features, applying foundational knowledge of machine learning concepts and modern AI tools to build smarter, more personalized experiences for our hosts and guests. By clearly communicating challenges and collaborating with teammates across functions, you’ll help drive projects forward with transparency and trust.

You’ll foster a sense of belonging by actively seeking feedback, sharing your own learnings, and supporting the onboarding of new team members. You’ll help uphold Airbnb’s commitment to excellence by following best practices, delivering tasks autonomously, and continually improving your technical skills. Your curiosity, empathy, and commitment to candid communication will empower you to make a meaningful impact—on projects, teammates, and Airbnb’s inclusive culture.

A Typical Day: 

• Attend team syncs to discuss priorities, share progress, and surface any blockers with transparency.
• Dive into coding—fixing bugs, developing features, or refining APIs and components—while applying best practices for code quality, error handling, and testability. Leverage AI-assisted development tools (e.g., Claude Code or similar) to accelerate your workflow and improve code quality.
• Participate in design or code reviews, ask clarifying questions, and apply feedback to improve your work. Work closely with cross-functional partners like product managers and designers to ensure your tasks align clearly with broader goals.
• Dedicate time to expanding your technical knowledge through documentation, mentorship, or internal knowledge-sharing sessions. This includes staying current on AI/ML developments relevant to your team's domain — whether that's recommendation systems, natural language understanding, or AI safety practices. Seek guidance from managers or tech leads when tackling unfamiliar problems.
• Contribute to team activities, such as onboarding new hires (e.g., being an onboarding buddy), sharing observations from the hiring process, or joining in cultural events focused on diversity, inclusion, and innovation.
• Share updates on your progress and next steps, highlighting challenges or learnings. 

Your Expertise:

This role is designed for recent graduates (Bachelor's or Master's) with less than 1 year of full-time professional experience who are ready to grow fast and make an impact.

• Strong foundation in Computer Science fundamentals — data structures, algorithms, design patterns, and systems thinking
• Proficiency in one or more of: Java, Scala, Ruby, Ruby on Rails, C++, SQL, HTML/CSS, JavaScript, Objective-C, Swift (iOS), or Kotlin (Android)
• Foundational awareness of AI/ML concepts — such as supervised learning, model evaluation, or working with APIs backed by large language models (LLMs) — gained through coursework, personal projects, or internships
• Familiarity with Python and common AI/ML libraries (e.g., NumPy, scikit-learn, or PyTorch) is a plus, as is experience integrating cloud-based AI services or LLM APIs
• An understanding of responsible AI principles — including fairness, privacy, and safety — and a curiosity about how these apply to real-world product development
• Bonus points for leadership experience, community involvement, or teaching/mentoring — we love engineers who invest in others

Your Location:

Preference for candidates based in San Francisco, California or Seattle, Washington with the ability to commute to the office three days per week. Additional in-person attendance for team meetings or offsites may be required as needed. Domestic Relocation support will be provided for candidates open to relocating.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Security Engineer (Pentesting, Incident Response & Investigations)

Our Engineering teams follow a micro-service architecture approach to build the next generation of Talkdesk, with autonomous vertical teams owning their services end to end. We promote agile and collaborative practices, value peer reviews, and believe that true authority comes from knowledge, not position. Respect, curiosity, and continuous learning are core to how we work.

Are you passionate about breaking things to make them safer?

As a Security Engineer focused on Pentesting, Incident Response, and Security Investigations, you will play a key role in detecting, investigating, and preventing security incidents while proactively identifying weaknesses across our platforms and applications.

What you’ll do

Depending on your profile and experience, your responsibilities may include:

• Perform manual and automated penetration testing of web applications, APIs, cloud-based systems, and AI/ML models.

Conduct security assessments of AI-driven features, focusing on risks like prompt injection, data leakage, and adversarial attacks. Conduct security investigations to identify root causes, attack paths, and impact of security incidents.Lead or actively participate in incident response, including detection, containment, eradication, and post-incident reviews. Analyze logs, telemetry, and forensic artifacts to support investigations and threat hunting activities.

• Triage, validate, and prioritize findings from internal and external penetration tests.
• Work closely with engineering teams to explain vulnerabilities, recommend pragmatic remediations, and verify fixes.
• Support the development and improvement of incident response playbooks and processes.
• Perform threat modeling (e.g., STRIDE) to identify realistic attack scenarios.
• Continuously research emerging threats, attack techniques, and exploitation methods relevant to our environment, including the evolving AI threat landscape.
• Act as a security subject-matter expert (SME) during incidents and high-risk technical discussions.
• Help improve Talkdesk’s overall security posture through lessons learned and proactive testing.

Must have

Strong knowledge of application and systems security. Solid understanding of web technologies, networking, and common attack vectors. Practical experience with penetration testing tools and techniques

• Experience with the OWASP Top 10 for LLMs and common AI exploitation patterns

Experience conducting security investigations and incident responseUnderstanding of OWASP Top 10 and common exploitation patterns

• Knowledge of cryptographic concepts and their practical use (and misuse)
• Linux/Unix proficiency
• Experience analyzing logs and security events
• Scripting or coding experience in at least one general-purpose language (e.g., Python, Ruby, Java)
• Excellent written and verbal communication skills, with the ability to explain complex security issues clearly
• Fluent in English (written and spoken)
• Strong analytical and critical-thinking skills
• Comfortable working in fast-paced, sometimes high-pressure situations

Nice to have

• Experience testing cloud-native environments, especially AWS
• Familiarity with microservices architectures and API security
• Experience with web and mobile application security testing
• Exposure to DAST, SAST, or IAST tools (hands-on or triage-focused)
• Experience performing application architecture security reviews
• Familiarity with security standards and frameworks (e.g., ISO 27001, NIST, CIS, OWASP, SANS)
• Relevant certifications such as OSCP, OSWE, GSEC, GCIA, CISSP, or CISM
• Familiarity with technologies like Git, Ruby, Kotlin, RabbitMQ, Redis, MongoDB, or PostgreSQL

Pay Range (Base Pay):   $124,500 - $187,000

Other Types of Pay: Based on level and role the employee may be eligible for long term incentives in the form of equity and short term incentives of either bonus or commission. 

Health Insurance: Medical, Dental, Vision, Life and Disability Insurance, Employee Assistance Program (EAP).

Retirement Benefits: 401(k) plan

Paid Time Off: Talkdesk offers an uncapped paid time off program for exempt employees and an accrual-based program for non-exempt employees; both are subject to manager approval and consistent with business needs.

Paid Holidays: Talkdesk offers 14 paid holidays each year. 

Paid Sick Leave: Exempt employees have uncapped paid time off and non-exempt sick leave follows accrual standards; both are subject to manager approval and consistent with business needs.

Method of Application: Apply online.

Application Window: The application window is expected to close at least 7 days from the posting date. The application was posted on 04/29/2026.

Benefits and perks listed above may vary based on the nature of your employment with Talkdesk.

All questions or concerns about this posting should be directed to the Talent team at Talent@talkdesk.com.

Full Stack Software Engineer (Senior level role)

The Consumer team owns comprehensive digital experiences for home sellers and buyers. While sellers have traditionally come to Opendoor for a cash offer on their homes, we have been expanding our suite of products to serve more customers in one of the biggest transactions of their lives. This is a particularly exciting time for the team as we transform our technical architecture and user experience to a multi-product, personalized experience. We are looking for a product-focused Senior Full stack Engineer to join us in this transformation.

What You'll Do:

• Create Meaningful Experiences: Work closely with product managers and designers to understand user pain points and build elegant, scalable solutions that delight our customers.
• Own Full Stack Features: Design and develop robust front-end experiences in React and TypeScript, while also diving into back-end systems (Python, Go, or Ruby) to ensure seamless functionality end to end.
• Lead with Craftsmanship: Write clean, maintainable, and modular code. You’ll contribute to reusable UI components and scalable application architecture that powers multiple user experiences.
• Collaborate Across Disciplines: Engage with engineers, designers, and operators to deliver end-to-end solutions, share feedback, and ensure alignment across teams.
• Drive Quality & Best Practices: Champion technical excellence through code reviews, mentorship, and initiatives to raise the bar on software quality and team processes.
• Remove Friction with Technology: Partner with our operations teams to identify opportunities where software can simplify workflows, reduce manual tasks, and enhance customer support.

Skills & Experience we're seeking:

• Bachelor's degree in Computer Science or related discipline. Masters degree preferred.
• Outstanding object-oriented design and object-oriented programming skills (OOD/OOP).
• 8+ years of full stack software development experience in a SaaS company - building and delivering high quality, web-based user-centered software products.
• 8+ of development front end UI experience with JavaScript/TypeScript, React, GraphQL, HTML5 and CSS with a deep understanding of building scalable, maintainable user interfaces.
• 5+ years of back end development experience; Ruby, Go, and Python preferred.
• A strong desire to build intuitive, impactful software that solves real problems for real people.
• Experience working closely with cross-functional partners, such as engineering, design and operations, to deliver value to customers
• Ideally, direct experience with our tech stack:
• Frontend:   React, Typescript, gRPC, Kafka, GraphQL
• Backend:  Rails, Go;
• Db:  Postgres
• Cloud:  AWS

The base pay range for this position is $170,000 - $234,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience.  We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

Team Overview:

We are looking for a Principal RTL Verification Engineer to join the Impinj Reader IC Engineering team and own the IP and SoC Verification Methodologies and Environment (tools, and flows) and Lead the SoC verification for Impinj’s next generation of Reader ICs. In this position, you will use your experience in RTL Verification to take Impinj’s next generation of Reader ICs from concept through to production.

What You’ll Do:

• Own the development of a UVM based IP and SoC verification framework for Impinj’s next-generation RAIN RFID Reader ICs to assure A0 production worthy silicon
• Deliver a parameterized, modular, scalable verification, validation methodology and automation framework, enabling AMS and Digital IPs to be seamlessly integrated across different Reader IC SoC products (Handheld versus fixed Reader)
• Lead the definition and development of verification infrastructure such as coverage tools, bus functional models, subsystem behavioral models, RTL code, and System Verilog based test benches
• Leverage your knowledge of advanced analog modeling techniques to enable efficient mixed signal co-simulation and quantifiable analog coverage
• Lead verification of externally and internally sourced IP blocks
• Review and evaluate design verification plans developed by other engineers
• Work with systems and hardware teams to develop and extend HW/SW co-simulation capabilities to enable verification of Reader firmware prior to A0 tape-out
• Work with RAIN RFID End-Point IC verification team to enable system verification and emulation
• Mentor Reader IC verification engineer team members
• Collaborate across logic, analog, test, and systems engineering teams to deliver new features and products to market
• Provide project planning and budgetary input on verification tooling requirements
• Support continuous improvement of existing RAIN RFID products through feature and performance enhancements

What You’ll Bring:

• Bachelor’s degree in electrical or computer engineering, or equivalent practical experience
• 15+ years of relevant industry experience; coursework in computer architecture preferred
• Extensive experience in mixed signal IP and SoC RTL verification for complex multi clock and multi-power domain SoCs with complex reset and power bring-up sequences using UVM and UPF methodologies
• Expertise creating and implementing RTL functional and AMS verification test plans
• Experience in the implementation and verification of microcontroller microarchitectures and complex finite-state machines
• Experience defining and developing bus functional models, subsystem behavioral models and architectural checkers
• Experience verifying integration of external IP blocks
• Demonstrated expertise in creating a unified testing approach and integration strategy to enable verification of IPs, SoC, and software Firmware inclusive of production DFT patterns
• Hands-on experience developing System Verilog based Digital Mixed-Signal functional test benches using real numbered models, SV assertions, re-usable sequences, and coverage monitors for Metric Driven verification
• Proven experience bringing multiple complex Mixed-Signal IP and SoC designs from concept through tape-out
• Familiarity with CI/CD systems and RTL coverage tools
• Scripting proficiency in Perl, Python, Ruby, or UNIX shell
• Excellent written and verbal communication skills
• Excellent teamwork and mentoring skills

Compensation & Benefits:

The benefits listed below may vary depending on the nature of your employment with Impinj and the country where you work.

The typical base pay range for this role across the US is $179,700 - $269,600. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time.

At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. US based employees have access to healthcare benefits; a 401(k) plan and company match among others.

For a more comprehensive list of US employment benefits, click here. 

US Export Controls:

This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here.

ABOUT KALLES GROUP:

Everyone deserves to be secure. Our mission at Kalles Group is to help secure the future for companies of all shapes and sizes.

While our expertise spans multiple disciplines, our method remains consistent: building trust and relationship with people -- whether you are a client, a consultant, or--in this case--a candidate.

No matter what role you come from--whether you're an executive or just starting your career-you can expect our highest level of attention and respect. We want to find the right fit for each role, but we also want you to find the right fit for your career.

We believe the best way to show you what our team is like is to treat you like you're already a part of it. We hope you'll consider joining our team of experienced professionals who are building their careers at Kalles Group—and having fun while doing it.

WHAT YOU WILL DO: 

You will play a key role in building, operating, and enhancing enterprise security platforms that protect critical systems across diverse cloud and technology environments. This role requires a hands-on engineer who thrives in a fast-moving environment, collaborates effectively across teams, and takes ownership of delivering secure, reliable, and scalable solutions. Your work will directly contribute to improving the organization’s overall security posture through automation, optimization, and thoughtful platform design.

KEY RESPONSIBILITIES: 

• Design, deploy, and maintain enterprise-grade security platforms across multiple cloud providers, including AWS, Azure, GCP, and OCI.

• Configure and support security tooling such as endpoint protection, cloud security posture management, and email security platforms.

• Integrate security solutions with CI/CD pipelines and cloud-native services to enable automated detection and remediation workflows.

• Develop and maintain scripts and automation to streamline platform operations, monitoring, and incident troubleshooting.

• Collaborate with engineering, development, project management, and business teams to deliver secure, highly available, and cost-efficient services.

• Author technical documentation, contribute to project planning, and create detailed test and validation plans.

• Monitor platform performance and security metrics, tuning configurations to improve effectiveness and reliability.

• Support secure deployments within containerized and virtualized environments.

• Build dashboards and reporting to provide visibility into platform health and security posture.

• Analyze logs, alerts, packet captures, and other security artifacts to support investigations and platform tuning.

• Participate in an on-call rotation to ensure continuity of critical security services.

ABOUT YOU:

• Your values:
  • Integrity: You believe in doing the right thing, even when it's uncomfortable, seemingly inefficient, or costly.
  • Purposefulness: You have a desire to serve others with your skillset and an openness to continuous learning and growth.
  • Ownership: You stick to your commitments, follow up with action, and seek clarity in communication & expectations.

YOUR EXPERIENCE:

Required Qualifications

• 3+ years of experience in cybersecurity or a closely related technical field.

• 2+ years of hands-on experience with programming or scripting languages such as Python, PowerShell, or Ruby.

• Practical experience with cloud security technologies and automation practices.

• Experience engineering and operating critical security services (e.g., EDR, CSPM, SIEM/SOAR, email security, Zero Trust, encryption platforms).

• Experience integrating security platforms with CI/CD pipelines and cloud-native platforms.

• Strong understanding of system design, technical architectures, and the full lifecycle of solution selection, implementation, and support.

• Ability to clearly communicate complex technical concepts to both technical and non-technical audiences.

• Proven ability to work effectively with stakeholders at all levels while maintaining a strong customer-service mindset.

• Highly organized, deadline-driven, and effective in fast-paced environments.

• Demonstrated problem-solving skills with a detail-oriented and methodical approach.

• Self-motivated, adaptable, and eager to learn new technologies and tools.

• Strong focus on automation, efficiency, and continuous improvement with history of developing scripts to automate platform operations, monitoring and troubleshooting.

Preferred Qualifications

• Relevant security certifications such as AWS Certified Security – Specialty, GSEC, GMON, AZ-500, CySA+, or equivalent.

• Experience supporting large-scale security environments in technology, ecommerce, or similarly complex organizations.

• Hands-on experience with infrastructure and container technologies such as Kubernetes, Terraform, Ansible, or similar tools.

WHAT WE OFFER:

• The annual salary range for this role is $100,000-$150,000.  
• We offer Medical, Dental, Vision plans, 401K with matching, and PTO for salaried employees.
• Work/life balance – we know there’s more to life than work! We encourage our team to pursue other passions, get outside, and spend time with family. We work with clients and consultants to set expectations for a manageable workload.

LOCATION:

This role requires on-site presence at our client's location in Seattle, WA.  We are currently only considering candidates that already live within commuting distance to Seattle, WA.

HOW TO APPLY:

Please fill out the form below (including uploading your most recent resume) and we'll be in touch! We know imposter syndrome can be a barrier to many great applicants. We hope you'll still consider applying. That's why we've made the application process as short and simple as possible.

Even if you're not a fit for the role, you can expect to hear back from us! We want you to have the best experience as a candidate, so please feel free to share feedback at any stage of the process to talent@kallesgroup.com.

Kalles Group is an equal-opportunity employer and does not discriminate on the basis of creed, nationality, race, ethnicity, disability, gender, or other protected class.

Software Engineer, Security Engineering

Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington 

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

Our Security Engineering team is building intelligent systems that protect Opendoor and our customers while enabling unprecedented engineering velocity. We apply software engineering and AI to solve security problems across product, infrastructure, and operations by building guardrails where they matter, not gates where they don't.

What You'll Do

• Build systems and AI agents that harden infrastructure, protect sensitive data, and facilitate safe transactions for home acquisition, resale, mortgage, title, and escrow.
• Design workflows and CI/CD pipelines that enable engineers and non-engineers alike to design, build, and ship safely.
• Set new standards and security patterns for AI maximalist engineering and operations.
• Apply deep expertise in threat modeling and risk management to understand and enable complex business operations.
• Mentor engineers and colleagues in security, software engineering, and AI.

Tech Stack

• Languages: Python, Go, Ruby, Terraform
• Corporate Platforms: Okta, AWS, Google Workspace, Slack, Jamf, CrowdStrike
• Engineering: AWS, GitHub, CI/CD pipelines, Infrastructure as Code (Terraform)
• AI Tools: Claude, OpenAI, agent frameworks, workflow automation

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to replace developer toil and reactive firefighting with automated systems and guardrails.
• Business enablement security mindset - measuring security success by business impact, which means informed risk taking.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages.
• Expertise in cloud security architecture, Kubernetes, container orchestration, and identity management.
• Humility and genuine curiosity—you're as excited to learn and enable the business and your colleagues as you are to utilize cutting edge tools and techniques in security and AI.

Bonus Points For

• Incident response training and experience.
• M.S. in Computer Science or security-focused graduate work.

Compensation

The base pay range for this position in Seattle is $214,000 - $294,000 USD annually and in Toronto it is $177,000-243,000 CAD, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

Software Engineer, Security Engineering

Team: IT, Security, and Corporate Engineering
Location: Toronto, Ontario

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

Our Security Engineering team is building intelligent systems that protect Opendoor and our customers while enabling unprecedented engineering velocity. We apply software engineering and AI to solve security problems across product, infrastructure, and operations by building guardrails where they matter, not gates where they don't.

What You'll Do

• Build systems and AI agents that harden infrastructure, protect sensitive data, and facilitate safe transactions for home acquisition, resale, mortgage, title, and escrow.
• Design workflows and CI/CD pipelines that enable engineers and non-engineers alike to design, build, and ship safely.
• Set new standards and security patterns for AI maximalist engineering and operations.
• Apply deep expertise in threat modeling and risk management to understand and enable complex business operations.
• Mentor engineers and colleagues in security, software engineering, and AI.

Tech Stack

• Languages: Python, Go, Ruby, Terraform
• Corporate Platforms: Okta, AWS, Google Workspace, Slack, Jamf, CrowdStrike
• Engineering: AWS, GitHub, CI/CD pipelines, Infrastructure as Code (Terraform)
• AI Tools: Claude, OpenAI, agent frameworks, workflow automation

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to replace developer toil and reactive firefighting with automated systems and guardrails.
• Business enablement security mindset - measuring security success by business impact, which means informed risk taking.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages.
• Expertise in cloud security architecture, Kubernetes, container orchestration, and identity management.
• Humility and genuine curiosity—you're as excited to learn and enable the business and your colleagues as you are to utilize cutting edge tools and techniques in security and AI.

Bonus Points For

• Incident response training and experience.
• M.S. in Computer Science or security-focused graduate work.

Compensation

The base pay range for this position in Seattle is $214,000 - $294,000 USD annually and in Toronto it is $177,000-243,000 CAD, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO