About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Enterprise Infrastructure

Within Operations, the Enterprise Infrastructure team owns the internal technology ecosystem that supports Gemini's offices and employees. The team operates as a unified engineering and service organization, combining front-line support excellence with DevOps-driven platform engineering under a single mandate.

Our enterprise technology strategy fuels business growth through an engineering-first approach by delivering a modern, secure, and scalable foundation for seamless collaboration, efficient operations, and future-ready innovation. By emphasizing operational excellence, continuous improvement of existing systems, and strategic automation – including Infrastructure as Code, GitOps workflows, and AI-augmented operations – we position IT as an engineering discipline whose impact extends across the department and the broader organization.

The Role: Staff Enterprise Infrastructure Engineer

As a Staff Enterprise Infrastructure Engineer, you will serve as a technical leader and force multiplier across the full breadth of Enterprise Infrastructure – from end-user support excellence to backend platform engineering and automation.

You will apply DevOps methodologies to drive the design, implementation, and continuous improvement of the systems that underpin Gemini's global workforce. This includes owning strategies and execution for endpoint management, user identity and access lifecycle, internal tooling, Infrastructure as Code, CI/CD pipelines, and AI-augmented operational workflows. You will define and track key metrics, communicate trends and capacity insights to leadership, and make strategic decisions about tooling adoption, vendor relationships, and architectural direction with an awareness of how these decisions impact teams and stakeholders beyond Enterprise Infrastructure.

A core expectation of this role is that you approach problems with an eye toward scalability and sustainability, building systems that reduce manual toil, improve reliability, and position the team for rapid growth. You are expected to critically evaluate existing systems and processes, challenging assumptions, identifying inefficiencies, and driving improvements to legacy workflows with the same rigor applied to new builds. You will act as a mentor and escalation point for others, fostering a culture of engineering rigor within support operations and a culture of user empathy within engineering work.

The ideal candidate has deep experience across both operational support and DevOps-driven infrastructure, thrives in ambiguity, and is energized by the challenge of consolidating legacy tooling into modern, automated, GitOps-driven workflows. They bring a pragmatic approach to adopting emerging capabilities – including agentic AI – and are motivated by building solutions that scale beyond their immediate team to benefit the broader organization.

This role is required to be in person 5 days per week at our Tempe, AZ office.

Responsibilities:

• Office & Endpoint Operations

  • Manage hardware inventory, secure storage, and physical IT infrastructure across global office locations.
  • Administer and support endpoint fleets including provisioning, patch management, and peripheral troubleshooting.
  • Support office A/V systems, network connectivity, and conference room technology.

• Service Operations & Delivery

  • Resolve service and incident requests with quality, speed, and thorough documentation.
  • Manage user identity and access lifecycle – including SSO, SCIM, MFA, and security key administration.
  • Maintain and improve SaaS platform configurations, vendor relationships, and internal support workflows.
  • Track operational metrics, surface trends, and communicate capacity insights to leadership.

• Platform Engineering & Automation

  • Build and maintain infrastructure using IaC, configuration management, and GitOps-driven deployment workflows.
  • Develop internal tools and integrations that automate fleet operations, user lifecycle management, and cross-service orchestrations
  • Design and operate CI/CD pipelines for infrastructure changes, tooling, and endpoint configurations.
  • Lead endpoint management platform migrations, including policy authoring, GitOps-managed profiles, and fleet-wide telemetry.
  • Design and implement agentic AI workflows to augment IT operations, applying context engineering principles to enable reliable, bounded automation and validations.

Minimum Qualifications:

• 8+ years of progressive experience in enterprise IT, infrastructure engineering, or a DevOps-focused support capacity.
• Strong proficiency with macOS fleet management at scale using MDM platforms.
• Hands-on experience with Infrastructure as Code and configuration management tooling.
• Proficiency in at least two of the following languages: Go, Python, Swift – with demonstrated ability to build production-grade internal tooling and API integrations.
• Deep experience with identity and access management platforms (Okta, Google Workspace, Active Directory), including SSO, SCIM, Device Assurance Policies, MFA, and user lifecycle automation.
• Working knowledge of CI/CD pipelines (GitHub Actions or equivalent) and Git-based development workflows.
• Solid understanding of networking fundamentals.
• Experience with AWS cloud services in a production or internal-tooling context.
• Proven ability to communicate complex technical concepts to both technical and non-technical audiences, including leadership.
• Experience mentoring junior engineers and contributing to team culture, hiring, and process improvement.

Preferred Qualifications:

• Experience in fintech, crypto, or regulated financial services environments.
• Experience with FleetDM and osquery for endpoint telemetry, compliance, and GitOps-managed device configuration.
• Experience designing agentic AI harnesses and workflows or applying context engineering techniques to augment operational processes (e.g., Claude Code, OpenCode, LLM-driven automation).
• Proficiency in Go, Python, and/or Swift for internal tooling development.
• Hands-on experience deploying reliable tools via Containerization and Orchestration (Docker, Kubernetes/EKS).
• Experience managing 1,000+ user accounts across a globally distributed workforce.
• Working knowledge of the Apple MDM protocol and open-source macOS tooling (Munki, AutoPkg, SaltStack, etc.).
• Experience with A/V systems administration (Crestron, Logitech, Chromebox for Meetings).
• SaaS Administration experience (Anthropic, Atlassian, Google Workspace, Linear, Okta, & more), service management workflows, and SLA reporting.

• Competitive starting pay
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AA1

About your role

We are looking for a forward-thinking Data Engineering Intern to join our team for Summer 2026. This isn't just a role about moving data from point A to point B; it’s about rethinking how those pipelines are built. You will sit at the intersection of core infrastructure and AI, building robust ETL processes while leveraging AI technologies to automate the very workflows you create.

Your mission is dual-purpose: you will support our Business Intelligence efforts and directly influence our product roadmap by turning raw data into actionable insights through advanced dashboards and automated workflows.

A Day in the Life

• Build & Orchestrate: Design, develop, and maintain ETL pipelines to ingest data into our Snowflake warehouse using Python, SQL, and Airflow.
• AI-Driven Automation: Implement AI-powered solutions to streamline engineering tasks, including:
• Automating code generation and documentation.
• Building AI-driven data quality checks and anomaly detection.
• Developing "self-healing" pipelines that can identify and alert on ingestion errors.
• Insight Generation: Use Jupyter Notebooks and Streamlit to analyze data and build internal tools that help our product team make data-driven decisions.
• Visualization: Create high-impact dashboards in Tableau that translate complex data into a clear narrative for stakeholders.
• Agile Collaboration: Participate in daily Scrum huddles, manage tasks via Jira, and work closely with product owners and QA to promote code to production.
• Cloud Infrastructure: Interact with cloud services via CLI and manage containerized environments using Docker and Kubernetes.

What you’ll need

• Academic Status: Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027, or pursuing a degree in Computer Science, Data Science, or a related quantitative field.
• Programming Mastery: Expertise in Python and SQL
• Infrastructure Mindset: A strong understanding of Data Warehousing (Snowflake) and ETL orchestration (Airflow).
• DevOps Curiosity: Familiarity with CLI, Docker, and Kubernetes for managing cloud-based environments.
• Analytical Toolkit: Experience with Jupyter Notebooks, Tableau, or Streamlit.
• Problem Solver: A proactive approach to using AI/LLMs to automate repetitive tasks and improve system reliability.

The Summer "Win"

By the end of your 10-week internship, you will have designed and deployed a functional ETL pipeline that feeds into a custom Insights Dashboard. Your work won't just sit in a folder, it will be used to influence our official product roadmap.

Interview Process

• Recruiter Phone Screen
• Technical Assessment 
• Hiring Manager Interview
• Team Interview

Sr SWE -AI

Senior Software Engineer, AI Platform (Corporate AI Team)

Team & Role Overview

Axon’s Corporate AI Team sits within the Enterprise Data organization and focuses on internal-facing AI solutions that help Axon employees do more high‑value work with less manual effort. The team builds and operates Cortex, Axon’s internal AI platform that provides GPT‑class models, chat assistants, and secure integrations with systems like Quip, Jira, Slack, Microsoft 365, Snowflake, and more.
We’re looking for a Senior Software Engineer, AI Platform to help design, build, and scale this platform. In this role, you’ll:

• Own core services and integrations that power AI experiences for thousands of Axon employees.
• Collaborate with Corporate AI, Data Engineering, and business teams to turn real workflows into secure, reliable AI‑powered tools.
• Help define best practices and patterns for building production‑grade LLM and agentic workloads at Axon.

This is a hands‑on senior IC role—you’ll spend most of your time designing, coding, and operating production systems, not managing people.

What You’ll Do

Build and Evolve the AI Platform

• Design, build, and operate services that power Axon’s internal AI platform (Cortex), including chat experiences, agents, and integrations with enterprise systems.
• Implement and standardize patterns for deploying AI‑driven applications (APIs, web services, workflows, agents) across Axon’s cloud environments.
• Own and extend connectors and MCP integrations (e.g., Jira, Quip, Slack, M365, Snowflake) that allow LLMs to safely read and write data in Axon systems.
• Measure and improve reliability, latency, and cost for AI workloads, using telemetry and feedback from real users.

Deployment, Integration, and Reliability

• Drive the end‑to‑end lifecycle of new AI features—from prototype to hardened production service (design, implementation, testing, rollout, and operations).
• Evaluate new AI services (e.g., OpenAI, AWS Bedrock, Azure ML) for fit, performance, and cost; recommend and implement the right options for each use case.
• Implement monitoring, alerting, and auditing for AI services, ensuring we can trace usage, detect anomalies, and keep systems healthy in production.

Enablement, Best Practices, and Architecture

• Help define and document best practices for GPT/LLM solution development, including prompt engineering, RAG patterns, agentic workflows, and safe tool use.
• Partner with Corporate AI and Enterprise Architects to shape reference architectures for AI‑enabled apps and workflows (scalability, resiliency, observability, data access).
• Contribute to internal starter kits, training content, and templates that help other engineers and analysts build on the platform effectively.

Security, Governance, and Responsible AI

• Implement and maintain secure patterns for API key management, secrets, and access to models and data sources, aligned with Axon’s security and compliance standards.
• Work with Data, Security, and Governance partners to operationalize responsible AI guardrails—e.g., model selection, data minimization, logging, and usage controls.
• Ensure that new capabilities respect permissions, auditing, and policy requirements across systems like Jira, Quip, Slack, M365, and Snowflake.

Collaboration and Communication

• Collaborate closely with Data Engineering, Solution Architecture, and business teams (Finance, Sales, Operations, etc.) to turn real workflows into repeatable AI solutions.
• Clearly communicate design decisions, trade‑offs, and status to technical and non‑technical stakeholders.
• Participate in brainstorming and discovery sessions to identify “big dumb problems worth solving” with AI and automation.

What You Bring

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 4+ years of professional software engineering experience, including building and operating production services or platforms.
• Strong proficiency in at least one of: Python, TypeScript/JavaScript, or Java.
• Experience with at least one major cloud provider (AWS, Azure, or GCP) and comfort working with cloud‑native services (functions, containers, managed databases, queues, storage).
• Solid understanding of web service fundamentals (APIs, authentication/authorization, observability, CI/CD) and how to build reliable, maintainable systems.
• Demonstrated interest in AI/ML and LLMs—for example, integrating with OpenAI, Bedrock, or similar APIs; building GPT‑style apps; or using AI‑assisted development tools.
• Basic understanding of security best practices (secrets management, least‑privilege access, audit logging) and eagerness to deepen this in the context of AI platforms.
• Strong communication and collaboration skills, with comfort working in a fast‑moving, experimental environment.

Preferred Experience

You don’t need all of these, but experience in several of the following will help you ramp quickly:

• Hands‑on work with LLM platforms and tools, such as OpenAI (ChatGPT / APIs), AWS Bedrock, Azure OpenAI, or Azure ML Studio.
• Experience integrating with enterprise systems like Jira, Confluence/Quip, Slack, M365, Salesforce, or Snowflake—especially via APIs or connectors.
• Familiarity with RAG (Retrieval‑Augmented Generation), semantic search, or vector stores in production contexts.
• Exposure to DevOps / platform engineering: Terraform or similar IaC, GitHub Actions or other CI/CD systems, containerization (Docker, Kubernetes), and application monitoring stacks.
• Experience building internal platforms or self‑service tools used by multiple teams.
• Participation in enablement activities (internal trainings, office hours, documentation, or community programs like Axon’s Champions Circle) is a plus.

About Plexus

Founded in gut health. Experts in microbiome. Plexus Worldwide®, headquartered in Scottsdale, Arizona, is a renowned direct-selling company recognized as a top employer. Over the past 18 years, Plexus has dedicated itself to promoting hope, health, and happiness through its scientifically backed, innovative dietary supplements, weight management products, and personal care products, sold primarily through Plexus Brand Ambassadors. As a six-time Best Places to Work awardee, Blue Zone-approved employer, and an AZ Most Admired Company, Plexus prides itself on its robust organizational culture and commitment to community support and philanthropy.  Our team is driven by a shared mission to empower individuals to achieve their health and wellness goals while offering additional income through the sale of products. Join us to be part of a team that values people, innovation, wellness, and community impact.

Our Core Values

We contribute to the overall growth and success of Plexus by embracing the Plexus core values:

• We are One Plexus.
• We are accountable.
• We get the job done right.
• We empower others.

Benefits

• Highly rated and competitive medical plans.
• 401 (k) with company match and immediate vesting.
• 1-on-1, personalized health coaching.
• Many other voluntary benefits.

To learn more about Plexus Worldwide, go to https://plexusworldwide.com/careers.

Thank you for taking the time to apply for an opportunity with our One Plexus team! If you encounter any issues during the application process, please contact us directly at careers@plexusworldwide.com.

We are committed to protecting the privacy and security of your information. Visit our Candidate Privacy Notice for additional information.

 #LI-HK1

Your Impact 

As a Senior Application Security Engineer, you will drive security initiatives that integrate seamlessly into the software development lifecycle. This role is all about empowering development teams with the tools, knowledge, and processes to build secure applications. You’ll work side-by-side with developers as a security partner, not just a reviewer, to enhance our security posture while maintaining speed and innovation.

You will leverage your strong software development background and application security expertise to build scalable security automation and tooling. This role is perfect for someone who is passionate about automating processes, enabling teams, and solving complex security challenges at scale.

What You’ll Do 

Location: This role is based out of one of our offices (Atlanta, Boston, Scottsdale, or Seattle) and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Reports to: Senior Product Security Manager
Direct Reports: None

• Integrate Security into Development
  • Build and maintain security automation tools to seamlessly embed security checks into CI/CD pipelines.
  • Partner with engineering teams to design secure-by-default architectures and workflows.
• Enable Developer Success
  • Act as a trusted advisor and partner for development teams, providing actionable guidance to address security issues.
  • Deliver training and mentorship on secure coding practices, empowering teams to proactively prevent vulnerabilities.
• Proactively Identify Risks
  • Deploy and operationalize static (SAST), dynamic (DAST), and dependency (SCA) scanning tools.
  • Lead vulnerability management efforts, ensuring critical vulnerabilities are identified, prioritized, and remediated.
  • Advocate for a “security debt” reduction mindset to maintain long-term product integrity.
• Champion Security Automation
  • Create and enhance tools that automate repetitive tasks and accelerate vulnerability detection and remediation.
  • Stay ahead of industry trends to evaluate and implement cutting-edge security solutions.

What You Bring

• Proficiency in programming languages like Python, Java, Go, or C#.
• Strong experience with modern development workflows, including CI/CD pipelines and Git-based version control.
• In-depth understanding of vulnerabilities and secure coding practices.
• Hands-on experience with security tools like Snyk, Semgrep, or similar.
• Ability to simplify and communicate technical security concepts to diverse audiences.
• Demonstrated success in partnering with developers to integrate security without disrupting velocity.
• Experience performing secure code reviews and interpreting SAST/DAST results.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Contributions to or leadership in open-source security tools.
• Relevant certifications

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Your Impact 

As a Senior Security Operations Engineer, you’ll play a key role in ensuring the reliability, performance, and scalability of our security infrastructure. You'll solve complex technical problems, improve our systems through thoughtful automation, and work closely with cross-functional teams to support our services as they scale. You’ll provide hands on execution capabilities for new initiatives in the Identity space, primarily to build out, maintain and support for PKI solutions at scale and provide auxiliary execution support for user identity and access management (IAM) initiatives. Your work will have a direct impact on uptime, efficiency, and the overall developer experience—contributing to our mission to deliver high-quality mission critical systems at speed.

What You’ll Do

Location: This role is based out of our Scottsdale, AZ office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Reports to: Manager, InfoSec Engineering
Direct Reports: 0

• Implementing and improving automated security checks in CI/CD pipelines to prevent vulnerabilities from reaching production.
• Writing, reviewing, and maintaining security-focused infrastructure-as-code for scalable and compliant deployments.
• Investigating security incidents, performing root cause analysis, and implementing long-term mitigation strategies.
• Collaborating with developers to develop new features, services, and infrastructure requirements.
• Enhancing security observability through improved log collection, metrics, and alerting configurations.
• Maintaining and improving security runbooks, incident response playbooks, and internal security tooling for operational efficiency.
• Resolve security/infrastructure incidents by participating in high impact/high visibility incidents as a participant and ideally as an incident commander.
• Maintain and secure critical infrastructure components such as PKI (Public Key Infrastructure) and IAM ( Identity & Access Management) systems, ensuring reliability, scalability, and compliance with organizational and industry security standards.
• Build and maintain secure, reliable, and scalable infrastructure that protects core services and sensitive data.
• Troubleshoot and resolve complex operational and system-level issues across environments.
• Enhance CI/CD pipelines with automated security testing, compliance checks, and deployment safeguards to minimize risk.
• Lead the design, development, and implementation of advanced security architecture, ensuring compliance with industry standards and regulatory requirements.
• Participate in the on-call rotation, security incident response, and post-incident reviews with a focus on threat mitigation and continuous improvement.
• Design and implement mission critical PKI solutions to support 24x7 worldwide manufacturing operations.
• Improve automation of IAM workflows and help implement just in time, least privileged access to critical business resources.
• Collaborate with SRE, and Engineers in other Pillars to ensure infrastructure meets the needs of fast-moving development cycles.
• Contribute to security-focused infrastructure-as-code and automation initiatives to enforce consistency and reduce manual configuration drift.
• Stay current with emerging security threats, vulnerabilities, and tools, evaluating and integrating solutions to strengthen defenses and improve operational resilience.
• Document security systems, incident response procedures, and best practices for internal knowledge sharing and compliance audits.

What You Bring

• 7+ years of experience in operations, site reliability, or infrastructure engineering roles.
• Strong experience securing and managing cloud environments (e.g., AWS, Azure) and containerized workloads
• Deep understanding of Linux systems, networking, distributed systems, and their associated security controls.
• Proficiency in automation, scripting, and security tooling integration to streamline operations and enforcement.
• Experience with security monitoring, alerting, SIEM platforms, and observability tools.
• Solid grasp of CI/CD practices with integrated security testing and compliance checks.
• Experience managing Kubernetes clusters and running containerized workloads in production.
• Experience with deploying and administrating any of the following: scalable cloud native secrets solutions such as AWS KMS, Azure KeyVault; PKI solutions such as EJBCA, Smallstep, Venafi; or vaulting solutions such as Hashicorp Vault.
• Familiarity with IAM/SSO platforms such as Okta, Entra ID, OneLogin, Ping or Keycloak.
• Clear, concise communication skills with the ability to collaborate effectively across engineering, operations, and security teams.
• A proactive approach to threat detection, vulnerability management, and system hardening.
• A passion for building security into systems that are both resilient and user-friendly.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

#Li-Hybrid

How You'll Make an Impact: 

As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

• Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
• Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem
• Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
• Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
• Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
• Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
• Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
• Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
• Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

• 5+ years of PHP web application software engineering experience
• 5+ years of experience with JS frameworks, Vue.js and React are preferred
• Solid experience with modern JavaScript/TypeScript
• Strong hands-on experience with Docker and containerized development workflows
• Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
• Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
• Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
• Proven track record of taking ownership of projects and delivering results independently
• Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

• Experience designing and building microservices and/or micro-frontends
• Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
• Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
• Experience working with event-driven architectures and messaging systems (e.g., Kafka)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

Hi, we're Oscar. We're hiring a Senior Software Engineer, Backend to join our Engineering team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role

As a Senior Software Engineer, you will build reliable and maintainable applications, infrastructure, and interfaces that make interacting with the health care system easier for members and providers. You will work with partners, product managers, and designers to solve challenging problems. Senior Engineers collaborate with other engineers on the team to improve technology and apply best practices.

Work Location: This position is based in our Tempe, AZ office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $158,400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

• Become the expert on your team's business and technical domains.
• Lead the planning, execution and release of complex technical projects.
• Work with partners, product managers, and designers to solve challenging problems.
• Collaborate with other engineers on the team to improve technology and apply best practices.
• Implement step-wise technical migrations of our existing services and applications.
• Own small to medium features or infrastructure projects from technical design through completion with little required guidance.
• Independent contributor to their team. Work effectively across the codebase with appropriate guidance from code owners.
• Make steady, well-paced progress without requiring frequent significant feedback from more senior engineers.
• Compliance with all applicable laws and regulations
• Other duties as assigned

Qualifications

• 5+ years of professional software engineering experience, working with a variety of technologies, and have increasingly impactful accomplishments
• Experience proposing, experimenting, and iterating, whether it be a new shiny technology or an arcane, ill-conceived data structure; our company may be new, but the health industry isn't!
• Experience with technical contributions, improving the quality of what you create, and are excited to build fault-tolerant, and scalable software systems.
• Demonstrates solid understanding of the practical application of CS concepts within their team.
• Consistently writes stable, correct, and maintainable code with little oversight; writes modular, adaptable code with guidance.

Bonus Points

• Experience supporting libraries and writing in Python and Golang.
• Experience owning observability stack tooling, e.g. Grafana, BigQuery, Kubernetes.
• Experience working in data and engineering tooling, e.g. discovery libraries, data replication, data transfer tools, authentication, authorization libraries.