Senior Security Engineer

Our Engineering Standards at Karbon:

Balance Speed and Quality

Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions. Sound judgment in making trade-offs between velocity and long-term sustainability is essential.

Collaborate Effectively

Engineering is collaborative by default. Team members are expected to contribute constructively in design discussions, reviews, and planning, communicate clearly about progress and risks, and support shared team outcomes in both hybrid and distributed environments.

Build and Maintain Systems

Engineers are responsible for building new capabilities while maintaining and improving existing systems. This includes designing scalable solutions, reducing technical debt, supporting operational stability, and contributing to continuous improvement.

Operate with Autonomy

A high degree of autonomy is expected. Given clear objectives, engineers should independently translate problems into actionable technical approaches, proactively identify improvements, and continuously expand relevant technical expertise.

Ownership and Accountability

Ownership is fundamental. Engineers are accountable for the quality, performance, and customer impact of their work from design through post-release support, and are expected to follow through on commitments.

AI-Enabled Engineering

AI is reshaping how software is built, and we are committed to leveraging it as a force multiplier for creativity, impact, and capability. Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation. Curiosity, adaptability, and enthusiasm for integrating AI into meaningful product development are essential.

Contribute to Team Culture

Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration.

About the Role! 

Seeking a development & cloud focused Senior Security Engineer to join our expanding security team.

The ideal candidate will have passion for AppSec, Cloud and AI. They will be a skilled communicator and relationship builder capable of promoting and building security practices across the organization and into our development processes.

AI is reshaping practices across the board and at Karbon we’re fully committed. We don’t see AI as a replacement but as a force multiplier. We’re looking for Security Engineers who are confident in network & security fundamentals, driven to grow, and excited by the challenges and opportunities AI brings.

What You’ll Own:

• Partner with different areas within Karbon - You will make sure security is embedded from the start from feature design and development to participating in design reviews and threat modelling.
• Balance Security and Delivery - You know how to balance delivery needs with security and can communicate security risks and issues to non technical stakeholders. You understand when it's important to push back, when to compromise and how to work with delivery teams to reach a great outcome.
• You keep up to date on the latest technologies and approaches - You are excited by the new developments such as AI bring to security but also understand the importance of security foundational practices such as good account hygiene, least privilege, attack surface reduction and MFA.
• Identify and assess security risks introduced by AI tools - You’ll assist with reviewing the risks of AI tooling usage & Integration and AI-generated code.
• Apply AI-assisted tooling to accelerate security work - you understand the impact AI can have and utilize it across many areas including triage, threat detection, code review, and documentation.
• Flexibility and confidence to work across multiple security domains - We’re a small team responsible for Security at a fast moving company and you’ll get exposure to many different security domains; you could be assisting with refining and investigating corporate IT security processes in the morning, reviewing a cloud hosted system after lunch and then tweaking detection rules!
• Work effectively as part of a team - Security is a team sport and you understand the need to build relationships and trust across the organization to enhance Karbon’s security posture. You are happy to answer questions and offer advice to teams that will reach out for your assistance.
• Own your work - You take pride in your work, feeling a deep sense of responsibility for the products we develop and ensuring we keep our customers' valuable data secure. This sense of ownership is paramount, and you share this commitment.
• Bring your passion and personality - Your creativity, curiosity, and authentic self make the team stronger. If you've worked in highly political environments, you'll find our culture, free from office politics and valuing openness and authenticity, a refreshing change.
• Help us measure improvement and steer our roadmap - Contribute to Security Metrics so we can track progress and feedback into our roadmap.

What Sets You Apart

4+ years experience in a security or development role across most of the following:

• Collaborating with teams to review designs & implementations for security issues and embedding good security practices across software development
• Triaging issues and reports, assisting teams to remedy items and testing fixes
• Working with external penetration test companies to validate and prioritize findings
• Conducting risk and vulnerability assessments of web applications and APIs and third party suppliers and integrations
• Configuring and tuning SAST, SCA and DAST Tooling
• Working with build/deployment pipelines to incorporate security tooling (Github Actions or Azure Devops YAML based pipelines)
• Assisting with implementing security focused alerting and detections and automations
• Conducting and facilitating organizational & developer focused security training
• Assisting with operational security items such as EDR alerts and MDM
• Contributing to our security roadmap

In addition you’ll need:

• Strong communication skills (spoken and written) 
• Some of the following Languages/Frameworks: Microsoft .NET/C#, JavaScript (we use React and EmberJS frameworks and, Python)
• At least one cloud platform: Azure, AWS or GCP (we use Azure predominantly)
• Working knowledge of PowerShell or Bash and Python
• Working knowledge of at least one AI development tool e.g. Claude Code, GitHub Co-Pilot etc
• Portswigger Burp or similar
• Certifications such as Offsec OSCP & AWAE, GIAC, Burp Practitioner, PJPT, Microsoft/AWS development and cloud related are nice to have
• Experience with securing AI applications, systems and AI tooling would be highly regarded

Why Work at Karbon?

• Gain global experience across Australia, New Zealand, UK, and Canada
• Strong benefits package including:
• Flexible Time Off with an encouraged 4 weeks use per year
• Company paid medical for you and eligible spouse/partner and dependents
• Paid dental and vision and eligible spouse/partner and dependents
• 401(k) with company matching
• Flexible Spending Account
• Up to 8 weeks paid parental leave
• Work-from-home stipend
• Work with (and learn from) an experienced, high-performing team
• A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback
• Be part of a fast-growing company that firmly believes in promoting high performers from within

The Role 

The software team at K2 builds software across the stack, from gateware & micro firmware to high level satellite control to Ground Software and all the associated testing, and we’re looking for an SDET who shares our belief that test infrastructure is a first-class engineering discipline. You will be embedded directly within the flight software team, working shoulder-to-shoulder with the engineers writing the code that flies our spacecraft owning the automation frameworks, test tooling, and HIL infrastructure that make rapid, confident software deployment possible. 

This role is not a QA function. You will be a builder. In your first 6 months, you will design and ship core test automation frameworks and integrate them into our CI/CD pipelines. In your first year, you will own end-to-end test coverage across multiple spacecraft subsystems and lead HIL testing campaigns alongside flight software engineers, proving the software is ready to go to space. In your first two years, you will have operated your test systems against hardware that has been launched to orbit. 

Responsibilities 

• Design, develop, and own software test frameworks targeting K2’s flight software stack, including subsystems for propulsion, GNC, power, thermal, and communications
• Build and maintain automation tooling that integrates seamlessly into CI/CD pipelines, enabling fast and reliable flight software deployment
• Develop hardware-in-the-loop (HIL) and software-in-the-loop (SIL) test infrastructure in close collaboration with flight software engineers
• Create tooling for test execution, data collection, and anomaly triage that gives engineers clear, actionable signal
• Reduce flaky and nondeterministic tests; continuously improve coverage, pipeline reliability, and test execution speed
• Collaborate with flight software, avionics, and systems engineers to define test requirements, write test plans, and execute verification campaigns
• Analyze test results to identify and characterize failures, and drive resolution across the team
• Maintain documentation for test infrastructure, procedures, and hardware configurations 

Qualifications 

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Aerospace Engineering, or a related STEM field, or equivalent professional experience
• Experience building and maintaining test automation frameworks, not just executing tests written by others
• Experience with CI/CD systems (e.g., GitLab Pipelines, GitHub Actions, Jenkins) and version control (Git) 

Nice to Have 

• Experience with hardware-in-the-loop (HIL) testbeds or embedded systems testing
• Experience testing avionics, spacecraft, robotics, autonomous vehicles, or other safety-critical hardware
• Rust programming experience, including embedded or no_std environments
• Knowledge of real-time operating systems (RTOS) or bare-metal embedded firmware
• Familiarity with aerospace communication protocols (RS-422/485, Ethernet, UART, SpaceWire, Ethernet)
• Experience with electronics test equipment: oscilloscopes, logic analyzers, power supplies
• Containerization experience (Docker, Kubernetes) for test environment management
• Experience with Embedded Linux
• Familiarity with shell scripting 

Compensation and Benefits:

• Base salary range for this role is $123,000 - $175,000 + equity in the company
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
• Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks

Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As an Engineering Manager, you’ll guide an engineering team through all the phases of the software development and operations lifecycle. You’ll also serve as a people manager, mentor, and coach for the engineers, overseeing performance management, growth opportunities, and accountability.

The Content Access Platform (CAP) team runs large-scale, globally distributed systems for millions of players. CAP creates the systems that power the purchasing and fulfillment experiences that all of Riot's players use. Custom catalogs for virtual goods, a full featured gifting system, and a robust, multi-stage fulfillment pipeline are only a few of the mission critical services the team builds and operates. Your passion and relentless drive to deliver players value will help us unlock and power new experiences that delight our players. As a Software Engineering Manager within the CAP group of teams, you will lead the engineering team that builds and operates the services that enable game teams to successfully ship their content to players. You will partner with the teams that create every Riot game, central technology teams, and teams in Tencent to ensure we are making excellent decisions, upholding a high quality bar, and operating efficiently in service of those players. You will report to the Senior Software Engineering Manager for the Content Access Platform group of teams.

Responsibilities:

• Manage a team of 6-10 Software and QA Engineers; coaching them, providing performance management, identifying growth opportunities, and ensuring positive results
• Partner and collaborate with Product Leads, Delivery Leads, and Technical Leads within the team and within Content Access Platform to align on the plan the team executes against
• Align with service teams across Content Access Platform, and the wider Player Platform business unit, on product configuration pipelines and tooling, and best practices for using them
• Support the technical vision and roadmap by allocating engineers and skill sets to meet goals and deliver results
• Own the interviewing and onboarding process for new engineering team members
• Be accountable for the technical health of the products owned by the team
• Stay hands-on with the team's tech, overseeing the technical design and deliverables of the team and working with the team's technical leadership
• Regularly engage with the codebase by participating in code reviews and non-critical tasks
• Build healthy relationships with other engineering teams across Riot globally, in order to foster cross-team collaboration

Required Qualifications: 

• Bachelor's or Master’s degree in Computer Science or a related field, or equivalent professional experience
• 5+ years experience as a Software Engineer, preferably on technical product teams that built tooling for services and APIs
• 2+ years experience directly leading an engineering team either as an Engineering Manager or Technical Lead
• Experience managing engineers and actively participating in their growth and development
• Experience recruiting candidates and growing an engineering team
• Experience with distributed systems, microservices, and software at a high scale
• Experience operating and maintaining live services, including handling emergent issues and on-call troubleshooting

Desired Qualifications:

• Experience building services using Java, Kotlin, or Go
• Experience developing using cloud infrastructure (such as AWS, GCP), using containers and orchestration (such as Docker, Kubernetes), managed using infrastructure as code (such as Terraform, Ansible)
• Experience with CI/CD pipelines (such as GitHub Actions, Jenkins)
• Experience with relational databases (such as MySQL)
• Experience with event driven architectures and technologies (such as Kafka)

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

About the Role

We are seeking an experienced Senior Engineering Manager, Apple Core to lead the development and maintenance of the shared systems, tools, and pipelines that power our iOS, tvOS, and visionOS applications. This role is pivotal in driving the technical vision, roadmap, and operational excellence of our Apple platform infrastructure. You will lead an accomplished group of engineers focused on scalability, reliability, performance, and developer efficiency — enabling our feature teams to deliver best-in-class experiences to millions of users.

As the Senior Engineering Manager, Apple Core, you will mentor, inspire, and grow the team while ensuring we deliver robust, high-quality infrastructure that supports business goals and technical standards. You will have ownership over platform-wide systems, CI/CD pipelines, monitoring and alerting solutions, and developer tooling. You will be a key contributor to strategic technical decisions and will partner closely with engineering leadership to shape the future of our Apple ecosystem.

This is a hybrid position and we are considering applicants for the location(s) of Los Angeles, CA or San Francisco, CA. You will report to the Director of Engineering, Apple and Android Platforms.

Responsibilities

• Run the day-to-day operations of the infrastructure engineering team and manage agile ceremonies such as grooming, sprint planning, daily stand-ups, and retrospectives.
• Lead and mentor a team of engineers to adopt and maintain best practices, platform architecture standards, and scalable infrastructure solutions, fostering a collaborative work environment.
• Define and execute the roadmap for shared Apple platform infrastructure, ensuring alignment with business objectives and the needs of dependent feature teams.
• Work closely with stakeholders and cross-functional teams to gather requirements, prioritize improvements, and communicate project progress and operational updates.
• Manage project timelines, resource allocation, and budgeting to ensure delivery of infrastructure initiatives.
• Implement and maintain CI/CD pipelines, automated testing frameworks, and performance monitoring solutions to optimize development velocity and product stability.
• Drive operational excellence by managing system incidents, performing root cause analyses, and implementing long-term preventative measures.
• Monitor system performance, identify bottlenecks, and lead performance optimization efforts across the Apple platform stack.
• Conduct regular one-to-one meetings with team members to provide feedback, support career development, and maintain high team morale and productivity.
• Lead hiring and onboarding efforts to attract top infrastructure talent and expand the team's capabilities.

Key Qualifications

• Proven experience managing infrastructure or platform engineering teams, preferably in the Apple ecosystem (iOS, tvOS, visionOS).
• Strong technical background in CI/CD tooling (e.g., Jenkins, GitHub Actions, Bitrise, CircleCI) and automation best practices.
• Hands-on experience with build systems, dependency management, and artifact distribution for Apple platforms (e.g., Xcode Cloud, Fastlane, xcframeworks).
• Proficiency with monitoring and observability tools (e.g., Datadog, New Relic, Grafana, Prometheus) and alerting best practices.
• Deep understanding of performance profiling, crash reporting, and optimization strategies for Apple applications.
• Strong incident management skills, including root cause analysis and postmortem facilitation.
• A track record of mentoring and developing engineering talent.
• Exceptional communication skills for collaborating with technical and non-technical stakeholders.
• Familiarity with modern agile practices and a track record of delivering infrastructure initiatives on time and within budget.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

Engineering Manager (Assignment: Data Warehouse Engineering)

WelbeHealth PACE helps seniors stay in their homes and communities by providing medical care and community-based services. We believe in going the extra mile and aim to make a genuine difference in our participants’ lives.

The Engineering Manager, Data Warehouse Engineering assignment will lead the architecture, engineering, and optimization of WelbeHealth’s data warehouse built on Databricks and Azure, enabling scalable analytics across the enterprise. The ideal candidate will possess expertise in Databricks, Azure Data Services, DevSecOps, and modern CI/CD automation pipelines, with proven experience building secure, compliant data architectures in a healthcare setting. This role includes data architecture, mentoring a team of data engineers, and fostering an innovative, collaborative engineering culture that embraces automation, modern development practices, and emerging AI-driven solutions.

This role is different because the Engineering Manager (Date Warehouse Engineering) at WelbeHealth:

• Directly architects and secures the enterprise data foundation that powers care delivery for vulnerable seniors, building a compliant, AI-enabled Databricks/Azure lakehouse that transforms clinical, operational, and regulatory data into actionable insights across the organization
• Operates as a true hands-on technical leader, not just a people manager, blending data architecture, DevSecOps automation, CI/CD rigor, and healthcare compliance expertise to scale a modern, secure data platform while mentoring a high-performing, innovation-driven engineering team

We care about our team members. That’s why we offer:

• Medical insurance coverage (Medical, Dental, Vision)
• Work/life balance - We mean it! 17 days of personal time off (PTO), 12 holidays observed annually, and 6 sick days
• 401K savings + match
• Comprehensive compensation package including base pay and bonus
• And additional benefits!

On the day-to-day, you will:

• Lead, mentor, and develop a high-performing team of data engineers, fostering an engineering culture centered on collaboration, innovation, and continuous improvement
• Architect, design, and manage data warehouse and lakehouse solutions on Databricks and Azure, ensuring scalability, security, and compliance with healthcare regulations
• Evaluate and implement AI and machine learning technologies within Databricks and Azure environments to optimize data processes and accelerate analytics capabilities
• Implement DevSecOps principles across the data engineering environment, integrating security, compliance, and automation into every stage of the development lifecycle
• Develop and manage CI/CD pipelines for data engineering workflows to promote automated testing, deployment, and environment consistency
• Drive automation across data ingestion, transformation, and quality frameworks to deliver efficient, robust, and scalable data processes
• Collaborate with Analytics, IT, and business partners to deliver secure, efficient, and compliant data warehouse solutions that meet organizational data needs, as well as oversee data modeling, integration, governance, and data quality frameworks that ensure accuracy, consistency, and business trust in analytic data sets

Job Requirements Include:

• Bachelor’s or master’s degree in computer science, information systems, data engineering, or related field
• Minimum of seven (7) years of experience in data engineering or data warehouse architecture, including at least three (3) years in a technical leadership position
• Two (2) years of supervisory experience with demonstrated ability to mentor and develop team members
• Deep expertise in Databricks architecture including Delta Lake, Apache Spark, and MLflow, with strong experience implementing complex data pipelines and transformations
• Hands-on experience architecting and deploying analytics and data infrastructure on Microsoft Azure (Data Factory, Azure SQL, Storage, etc.)
• Proven experience implementing DevSecOps frameworks, secure data operations, and governance in regulated industries - healthcare experience strongly preferred
• Strong understanding of CI/CD, infrastructure-as-code, and automation tools such as GitHub Actions, Azure DevOps, or equivalent technologies
• Experience integrating AI and machine learning capabilities to streamline data workflows and enhance analytical insights

We are seeking an Engineering Manager (Data Warehouse Engineering) with at least seven (7) years of progressive experience in data engineering or data warehouse architecture, including technical leadership in complex, regulated environments. The ideal candidate brings deep expertise in Databricks and Azure, along with a strong foundation in DevSecOps, automation, and secure, scalable data platforms. If you’re ready to lead hands-on architecture, mentor high-performing engineers, and build the modern data foundation that powers care for vulnerable seniors, we’d love to hear from you.

We're looking for a driven DevOps Engineer to join our infrastructure team. You'll help build, maintain, and improve the infrastructure that keeps our systems running reliably at scale. Working alongside senior engineers, you'll gain hands-on experience with modern cloud-native tooling -  from provisioning infrastructure with Terraform to deploying applications via ArgoCD on Kubernetes. 

What You’ll Work On 

• Write and maintain Terraform modules to provision and manage cloud infrastructure (mostly AWS) in a consistent, repeatable way 
• Package and manage application deployments using Helm charts, including templating, versioning, and chart repository management 
• Automate configuration management and application provisioning tasks using Ansible playbooks and roles 
• Support the operation of Kubernetes clusters — deploying workloads, debugging pod failures, managing namespaces, RBAC, and resource quotas 
• Contribute to GitOps workflows using ArgoCD, maintaining application sync policies and managing rollouts and rollbacks 
• Collaborate with development teams to improve CI/CD pipelines and reduce deployment friction 
• Maintain and expand our secrets management systems and workflows built on HashiCorp Vault 
• Improve and support our cybersecurity posture by applying cybersecurity standards and best practices 
• Optimize our network infrastructure to handle additional workloads and applications 

What Success Looks Like 

• After 30 Days: You understand the fundamentals of Parallel's existing Terraform modules, Helm charts, and Ansible playbooks, and have familiarized yourself with our current architecture and conventions. You have submitted your first pull request. 
• After 60 Days: Own and ship at least one significant Terraform, Helm, or Ansible change end-to-end, from writing to code review to production merge. Understand how platform work impacts product delivery. 
• After 90 Days: Take ownership of Parallel's infrastructure (a service, a cluster, or a pipeline) and be the go-to person for it. You have contributed a measurable improvement to Parallel's infrastructure and are actively supporting deployment and product testing efforts. 

Basic Qualifications 

• 3–5 years of experience in a DevOps, Platform Engineering, or Site Reliability Engineering role. 
• Minimum 1 year experience with Terraform, Ansible, Chef or other Infrastructure as Code (IaC) or Configuration Management (CM) tools 
• Hands-on Kubernetes administration experience: networking (CNI, ingress), storage (PVCs, StorageClasses), workload management (Deployments, StatefulSets, Jobs, CronJobs), and troubleshooting 
• Comfort with Linux CLI, shell scripting, and Git workflows 
• Minimum 1 year experience with at least one major cloud provider (AWS, GCP, or Azure) 
• Familiarity with CI/CD concepts and pipeline tooling (GitHub Actions, GitLab CI, Jenkins, etc.) 
• Experience writing Helm charts from scratch or building on upstream charts 
• Strong understanding of core internet technologies like DNS, TCP/IP and the OSI model, HTTP, and TLS. 
• Familiarity with observability tooling (Prometheus, Grafana, Loki, OpenTelemetry) 
• Experience with scripting in at least one language (Shell, Python, etc.) 
• Strong understanding of security concepts (least privilege, CIA triad, defense in depth) 
• Hands-on experience with ArgoCD or another GitOps tool (Flux, etc.) 
• Strong written and verbal communication skills, and good documentation habits 

Preferred Qualifications 

• Familiarity with secrets management, especially with HashiCorp Vault or External Secrets Operator 
• Understanding of authentication and authorization schemes (SAML, OIDC) 
• Relevant certifications: CKA, Terraform Associate, AWS SAA, etc. 

About the role

As a Senior DevOps Engineer within the Core Infrastructure team, you are a key person in managing and scaling the systems and services that power our streaming platform. Your expertise in cloud technologies and DevOps methodologies enables you to take on complex challenges independently and create scalable solutions that meet our customers' needs. You will work with our delivery teams and lead projects, driving them forward to completion and ensuring that the platform processes and best practices are being followed. In collaboration with other engineers, you develop tools and systems that support services and facilitate high-quality software delivery. You will work with our delivery teams to ensure that their systems are efficient and reliable, guide them to better quality and practices including observability and troubleshooting of services & incident management. You are expected to take initiatives to improve what we do overall, introduce new technologies & processes when it is needed and share knowledge across teams.

You will report to the Senior Manager, Core Infrastructure Engineering.

About You

You have an in-depth understanding of Software and DevOps methodologies, automation, and infrastructure as code. Your experience in designing, building, and scaling high availability systems shows your commitment to operational excellence. You excel in a collaborative environment and can work well with your teammates, providing a good example to other engineers to achieve high quality and standards in everything they do.

Requirements:

• At least a Bachelor's degree in software engineering, computer science, information technology, information systems, or similar.
• 8+ years of experience working in production-level environments as a DevOps/SRE
• Proficient in AWS cloud technologies, coupled with Infrastructure as Code (IaC) such as Pulumi and Terraform
• 3+ years of experience managing containerized infrastructure in ECS or Kubernetes
• Experience in GitOps practices and CI/CD.
• Experience managing Linux based infrastructure.
• Experience with observability and instrumentation of services so that efficient dashboards and alerts are created.
• Familiarity with relational databases like PostgreSQL, MySQL and non-relational databases like MongoDB, DynamoDB.
• Experience with CDN and caching technologies including AWS CloudFront. 
• Experience working with and guiding Software Engineers in production best practices, sharing knowledge across teams and teammates.
• Experience in at least two or more scripting languages including TypeScript.
• Able to accommodate periodic off-hour meetings with the international team members.
• Excellent communication skills and ability to collaborate with stakeholders.
• Participate in an on-call and developer support rotations.

Pluses:

• Knowledge of streaming video delivery, video encoding workflows, video origin architecture, and issues of scale for video delivery.
• Proficiency in TypeScript
• Familiarity with big data and payments domain.
• Understand security concepts such as cryptography, authentication, authorization, and security protocols.
• Familiarity with Datadog
• Familiarity with GitHub Actions

About the Team

At Crunchyroll, our Core Infrastructure Engineering team forms the foundation on which our services are built and directly influence our customer experience and the velocity of our engineers. Our team focus is to ensure that our developers are enabled, self-service, that everything about our infrastructure is automated and that our services are highly reliable and scalable.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

• Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
• Flexible time off policies allowing you to take the time you need to be your whole self.
• Generous medical, dental, vision, STD, LTD, and life insurance
• Health Saving Account HSA program
• Health care and dependent care FSA
• 401(k) plan, with employer match
• Employer paid commuter benefit
• Support program for new parents
• Pet insurance and some of our offices are pet friendly!

#LifeAtCrunchyroll #LI-Hybrid

WHAT YOU’LL DO

The Cloud Reliability Engineer will be responsible for writing and integrating various open source and closed sources tools. The ideal candidate will possess a deep understanding of systems engineering and automation, including configuration management, containerization, and scripting.

THE DAY-TO-DAY

• Develop, configure, and deploy tools for cloud based systems and services
• Containerize new and legacy applications
• Maintain awareness of new and exciting technologies
• Provide LOE/scoping for projects
• Support development and operations teams
• Enhance, modify or debug developer code as needed
• Ensure comprehensive observability across all aspects of application and system performance through maintenance, enhancement, and detection efforts
• Required to participate in an on-call rotation for timely response to system incidents and maintenance needs

QUALIFICATIONS AND REQUIREMENTS

• 3+ years experience in a DevOps or SRE-related role
• 2+ years experience with Linux administration in a professional setting
• 2+ years experience with one or more large cloud providers (AWS, Google)
• 1+ years experience with serverless architecture (AWS Lambda, Google Cloud Functions)
• 1+ years using Docker and or Kubernetes
• 1+ years experience using Terraform - writing vanilla Terraform to instrumenting modules
• Ability to create CI/CD pipelines GitHub Actions
• Demonstrated proficiency in at least one of programming the following languages: Python, GoLang.
• Experience working with SQL and Google BigQuery

LIFE AT VIANT

Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more. 

This role follows a hybrid schedule, with three days per week onsite in our Culver City or San Francisco office.

The opportunity

We're hiring a Senior Cloud Infrastructure Engineer to join the Cloud Infrastructure & Platform (CIN) team at Altruist. This is a high-impact, senior individual contributor role responsible for architecting, building, and operating the AWS-based infrastructure that powers our broker-dealer and clearing platform. You will own critical infrastructure domains end-to-end and drive technical decisions that affect the reliability, security, and scalability of systems handling real financial transactions.

As the industry evolves rapidly with generative AI and agentic workflows, we need engineers who combine deep AWS and Kubernetes expertise with the vision and initiative to define how AI/ML tools and patterns can transform infrastructure operations, developer productivity, and platform resilience. This role carries significant technical influence — you will shape infrastructure strategy, lead complex cross-functional initiatives, and raise the bar for engineering practices across the organization.

What sets this role apart

This is not a ticket-driven infrastructure role. At the Senior-to-Staff level, we expect you to:

• Own domains, not just tasks. You will be the technical authority for critical infrastructure areas (e.g., EKS platform, observability strategy, DR architecture, or AI infrastructure) and drive their roadmap.
• Define technical direction. Author architectural decision records (ADRs), propose infrastructure standards, and influence engineering-wide technology choices through design reviews and RFCs.
• Lead without a title. Drive cross-team initiatives, align stakeholders, unblock other engineers, and represent infrastructure perspectives in leadership discussions and planning.
• Multiply the team. Elevate the entire CIN team through mentorship, code reviews, knowledge sharing, and building reusable frameworks and golden paths that scale beyond your individual output.
• Bridge infrastructure and business. Translate complex technical trade-offs into clear recommendations for engineering leadership, product teams, and compliance stakeholders.

Your impact

• Cloud Infrastructure Architecture & Platform Engineering
  • Architect, deploy, and operate production AWS infrastructure supporting high-availability financial services workloads (EKS, MSK, RDS/Aurora PostgreSQL, OpenSearch, ElastiCache, S3, CloudFront, and more).
  • Own and evolve the Infrastructure as Code (IaC) strategy using Terraform — define module standards, enforce code review practices, and drive adoption of reusable patterns across teams.
  • Lead Kubernetes (EKS) platform strategy, including cluster upgrades, node group architecture, Helm chart governance, service mesh evolution, and workload autoscaling policies.
  • Design and drive CI/CD platform improvements (GitHub Actions, ArgoCD, or similar) to enable safe, fast, and self-service deployments for application engineering teams.
  • Architect and validate disaster recovery (DR) strategies, including cross-region failover designs, backup automation, and leading DR simulation exercises.
  • Lead infrastructure design reviews and architectural discussions; ensure solutions meet scalability, security, and compliance requirements before implementation.
• Reliability, Observability & Operational Excellence
  • Define and drive the observability strategy across the platform (Datadog, Prometheus, Grafana, CloudWatch, OpenSearch) — including SLO/SLI frameworks, alerting standards, and distributed tracing.
  • Serve as a senior on-call escalation point; lead root-cause analysis on critical production incidents and drive systemic improvements through blameless post-mortems.
  • Own monthly resource saturation reviews and capacity planning processes; proactively identify scaling needs and present findings to engineering leadership.
  • Drive cloud cost optimization strategy: FinOps practices, Reserved Instances/Savings Plans analysis, vendor spend governance, and accountability frameworks across teams.
• Security, Compliance & Networking
  • Define and enforce security architecture standards across AWS environments: IAM policy governance, VPC design patterns, encryption strategies, secrets management (Vault, AWS Secrets Manager), and vulnerability remediation workflows.
  • Partner with Security, Compliance, and Audit teams to ensure infrastructure meets FINRA, SEC, SOC 2, and other regulatory requirements — and proactively identify gaps before they become findings.
  • Own networking architecture decisions including VPC topology, Transit Gateway strategy, VPN configurations, load balancer patterns (ALB/NLB), CDN optimization (Fastly/CloudFront), and DNS management.
• AI/ML Infrastructure & Developer Productivity
  • Define the strategy for evaluating, integrating, and governing AI-powered developer tools (e.g., Cursor AI, GitHub Copilot, CodeRabbit) across the engineering organization — including usage analytics, cost optimization, security review, and policy frameworks.
  • Architect infrastructure for AI/ML workloads: GPU-enabled compute, SageMaker endpoints, Bedrock integration, vector databases, and data pipeline orchestration.
  • Lead the adoption of AI-driven automation for infrastructure operations — intelligent alerting, anomaly detection, auto-remediation, and AIOps patterns — moving from exploration to production integration.
  • Build and champion internal platforms and golden paths that leverage generative AI to improve developer experience, reduce operational toil, and accelerate delivery velocity.
• Technical Leadership & Collaboration
  • Act as a trusted technical advisor to the Director of Engineering and engineering leadership on infrastructure strategy, trade-offs, and investment priorities.
  • Lead cross-functional initiatives spanning application engineering, data, security, and DevSecOps teams — driving alignment on complex multi-team infrastructure projects.
  • Represent the CIN team in architecture review boards, incident response leadership, and engineering-wide planning sessions.
  • Author and maintain comprehensive technical documentation, runbooks, ADRs, and operational procedures that serve as organizational knowledge assets.
  • Mentor senior and mid-level engineers; conduct thorough design and code reviews; actively contribute to hiring and onboarding processes for the CIN team.

What you bring

• 5+ years of hands-on experience in cloud infrastructure engineering, with deep, production-proven expertise in AWS.
• Track record of owning and driving infrastructure initiatives end-to-end — from design and architecture through implementation, rollout, and operational excellence.
• Expert-level proficiency with Terraform, including module design, state management strategies, and establishing IaC standards for engineering teams.
• Extensive production experience operating Kubernetes (EKS strongly preferred) at scale — cluster lifecycle management, multi-tenancy patterns, Helm governance, and GitOps workflows.
• Strong Linux systems engineering skills and advanced scripting proficiency (Python, Bash, or Go).
• Deep expertise in CI/CD platforms (GitHub Actions, ArgoCD, Jenkins) with experience designing deployment strategies for multi-service architectures.
• Expert-level understanding of cloud networking (VPC architecture, Transit Gateway, peering, DNS, load balancing) and security (IAM, KMS, WAF, GuardDuty, Secrets Manager).
• Proven experience designing and operating observability platforms (Datadog, Prometheus/Grafana, CloudWatch, OpenSearch/ELK) at organizational scale.
• Strong experience with database infrastructure and data layer architecture (Aurora PostgreSQL, RDS, ElastiCache/Redis, OpenSearch, DynamoDB).
• Demonstrated ability to lead disaster recovery planning, execute DR simulations, and design HA architecture patterns for mission-critical systems.
• Excellent technical communication skills — ability to write clear ADRs, present to leadership, and translate infrastructure complexity for non-technical stakeholders.
• Proven track record of mentoring engineers and elevating team capabilities through knowledge sharing, design reviews, and tooling improvements.

Bonus points

• 7+ years of infrastructure or platform engineering experience, including 3+ years operating at a senior or staff level.
• Experience in financial services, fintech, broker-dealer, or other heavily regulated industries with FINRA/SEC compliance requirements.
• AWS certifications at the Professional or Specialty level: Solutions Architect Professional, DevOps Engineer Professional, Security Specialty, or Machine Learning Specialty.
• Experience with event streaming platforms at scale (Amazon MSK / Apache Kafka) including cluster operations, partition strategy, and consumer group management.
• Hands-on experience with API gateway management and platform design (Kong, AWS API Gateway).
• Demonstrated experience with AI/ML infrastructure: provisioning GPU compute, SageMaker/Bedrock integration, vector databases, MLOps pipelines, or AIOps automation in production.
• Experience defining and executing organizational rollout strategies for AI developer tools, including governance frameworks, usage analytics, and cost management.
• Proficiency with policy-as-code frameworks (OPA/Rego, Sentinel, Kyverno) for infrastructure governance and compliance automation.
• FinOps certification or demonstrated experience leading cloud cost optimization programs at scale.
• Experience authoring RFCs, ADRs, or technical strategy documents that influenced engineering-wide decisions.
• Contributions to open-source projects, conference talks, or published technical writing.

Penske Media Corporation (PMC) is currently seeking a Full Stack Engineer to join our engineering team and work on our WordPress and Laravel systems while applying artificial intelligence to modern web development.

This role is ideal for an engineer early in their career who is excited to grow their skills across the stack, learn from more experienced teammates, and use AI-assisted tools to improve productivity, code quality, and understanding of complex systems. You will work with established patterns, existing architecture, and close guidance while gradually increasing your scope and independence over time.

You’ll help us maintain high-quality, reliable websites and collaborate with a thoughtful, inclusive team that values learning, respect, and tackling meaningful problems together.

You will have the chance to work on some of the largest, trusted brands in entertainment and fashion news, including Variety, Billboard, Deadline, WWD, and The Hollywood Reporter.

What You’ll Do:

You will contribute to real production systems while being supported by senior engineers and established processes.

Responsibilities include:

• Develop and maintain WordPress plugins and Laravel applications using existing patterns and best practices
• Build and enhance frontend features using TypeScript, React, and NextJS, focusing on responsiveness, performance, and accessibility
• Contribute to AI-powered features (such as editorial tools or automation) by implementing well-defined components and integrations
• Collaborate with product managers, designers, and engineers to understand requirements and deliver scoped solutions
• Work with APIs connecting WordPress, Laravel, and external services, following existing designs
• Participate in CI/CD workflows using GitHub Actions and Jenkins, and learn how our deployment pipelines work
• Use Docker-based development environments and assist with deployments to AWS-hosted infrastructure
• Support infrastructure and observability efforts by following documented processes and contributing small improvements
• Write tests, documentation, and pull requests, and participate in code reviews as a learner and contributor
• Assist with troubleshooting and bug fixes affecting production websites, with guidance from teammates
• Participate in team on-call rotations after onboarding, with backup and support from senior engineers

What We’re Looking For:

We don’t expect you to have experience with everything listed below. This role is designed for growth, and we value curiosity, learning ability, and collaboration.

Required / Core Skills:

• Experience with PHP and familiarity with WordPress or Laravel (professional, academic, or personal projects)
• Basic experience with JavaScript and modern frontend development (TypeScript or React experience is a plus)
• Familiarity with Git and collaborative development workflows
• Hands-on experience using AI-assisted development tools (such as coding assistants, AI-powered IDEs, or automated refactoring tools) as part of your regular development workflow, with an interest in learning how to apply them effectively in production environments
• Understanding of web fundamentals such as HTTP, TLS, REST APIs, and relational databases
• Awareness of accessibility and SEO best practices, with a desire to learn more
• Ability to take feedback well, ask questions, and communicate clearly with teammates

Nice to Have (Not Required):

• Exposure to TypeScript, NextJS, or modern React patterns
• Experience using Docker or cloud platforms (AWS or similar)
• Familiarity with automated testing or CI/CD pipelines
• Familiarity with secure development practices (OWASP Top 10, XSS, CSRF, SQL injection, authorization concepts)

How You’ll Grow in This Role:

• You’ll start by working on well-scoped tasks and bug fixes with clear guidance
• Over time, you’ll take ownership of small features and components
• You’ll learn how we use AI tools to improve development speed and quality
• As your skills grow, your level of independence and responsibility will increase in line with our engineering career ladder

This role aligns with early-career engineering expectations and provides a clear path for progression within our Individual Contributor track. While this role works on the same systems as more senior engineers, expectations around autonomy, decision-making, and technical leadership are intentionally scoped to an early-career level.

As PMC values in-person collaboration and team cohesion, employees work onsite 4 days a week and 1 day remotely with a focus on maintaining a vibrant and inclusive culture.

Typical wage range: $120k - $135k. Factors that could be used to determine your actual salary may include your specific skills, years of experience and comparison to current employees already in this role. If you have more or less experience than specified on this job posting, please apply and list your salary expectations.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors).

It’s all About You…

PMC's comprehensive benefits package is thoughtfully designed to support every aspect of your life, empowering you to thrive both personally and professionally. We offer PMC-Paid Healthcare with no employee paycheck contributions on medical, dental, and vision for you and your family. PMC also offers Flexible Spending Accounts (Healthcare, Dependent Care & Commuter), an Employee Assistance Program, Life Insurance, Short- & Long-Term Disability, Paid Parental Leave, and a 401(k) Retirement Plan with an Employer match. Employees are also eligible to take advantage of company discounts and perks including Pet Insurance, Home & Auto Insurance, Mortgage discounts, and a variety of other savings on wellness, lifestyle, and financial essentials. As part of PMC's dedication to consistently meeting employees’ needs, we are currently launching a new Flexible Vacation Policy.

At PMC, we believe working in a highly collaborative, office-first environment fosters real-time communication, spontaneous idea sharing, and stronger interpersonal relationships that drive innovation and team cohesion. PMC prioritizes in-person collaboration and does not offer remote-only roles.

This role follows a hybrid schedule, with three days per week onsite in our San Francisco FiDi office.

The opportunity

We're hiring a Senior Cloud Infrastructure Engineer to join the Cloud Infrastructure & Platform (CIN) team at Altruist. This is a high-impact, senior individual contributor role responsible for architecting, building, and operating the AWS-based infrastructure that powers our broker-dealer and clearing platform. You will own critical infrastructure domains end-to-end and drive technical decisions that affect the reliability, security, and scalability of systems handling real financial transactions.

As the industry evolves rapidly with generative AI and agentic workflows, we need engineers who combine deep AWS and Kubernetes expertise with the vision and initiative to define how AI/ML tools and patterns can transform infrastructure operations, developer productivity, and platform resilience. This role carries significant technical influence — you will shape infrastructure strategy, lead complex cross-functional initiatives, and raise the bar for engineering practices across the organization.

What sets this role apart

This is not a ticket-driven infrastructure role. At the Senior-to-Staff level, we expect you to:

• Own domains, not just tasks. You will be the technical authority for critical infrastructure areas (e.g., EKS platform, observability strategy, DR architecture, or AI infrastructure) and drive their roadmap.
• Define technical direction. Author architectural decision records (ADRs), propose infrastructure standards, and influence engineering-wide technology choices through design reviews and RFCs.
• Lead without a title. Drive cross-team initiatives, align stakeholders, unblock other engineers, and represent infrastructure perspectives in leadership discussions and planning.
• Multiply the team. Elevate the entire CIN team through mentorship, code reviews, knowledge sharing, and building reusable frameworks and golden paths that scale beyond your individual output.
• Bridge infrastructure and business. Translate complex technical trade-offs into clear recommendations for engineering leadership, product teams, and compliance stakeholders.

Your impact

• Cloud Infrastructure Architecture & Platform Engineering
  • Architect, deploy, and operate production AWS infrastructure supporting high-availability financial services workloads (EKS, MSK, RDS/Aurora PostgreSQL, OpenSearch, ElastiCache, S3, CloudFront, and more).
  • Own and evolve the Infrastructure as Code (IaC) strategy using Terraform — define module standards, enforce code review practices, and drive adoption of reusable patterns across teams.
  • Lead Kubernetes (EKS) platform strategy, including cluster upgrades, node group architecture, Helm chart governance, service mesh evolution, and workload autoscaling policies.
  • Design and drive CI/CD platform improvements (GitHub Actions, ArgoCD, or similar) to enable safe, fast, and self-service deployments for application engineering teams.
  • Architect and validate disaster recovery (DR) strategies, including cross-region failover designs, backup automation, and leading DR simulation exercises.
  • Lead infrastructure design reviews and architectural discussions; ensure solutions meet scalability, security, and compliance requirements before implementation.
• Reliability, Observability & Operational Excellence
  • Define and drive the observability strategy across the platform (Datadog, Prometheus, Grafana, CloudWatch, OpenSearch) — including SLO/SLI frameworks, alerting standards, and distributed tracing.
  • Serve as a senior on-call escalation point; lead root-cause analysis on critical production incidents and drive systemic improvements through blameless post-mortems.
  • Own monthly resource saturation reviews and capacity planning processes; proactively identify scaling needs and present findings to engineering leadership.
  • Drive cloud cost optimization strategy: FinOps practices, Reserved Instances/Savings Plans analysis, vendor spend governance, and accountability frameworks across teams.
• Security, Compliance & Networking
  • Define and enforce security architecture standards across AWS environments: IAM policy governance, VPC design patterns, encryption strategies, secrets management (Vault, AWS Secrets Manager), and vulnerability remediation workflows.
  • Partner with Security, Compliance, and Audit teams to ensure infrastructure meets FINRA, SEC, SOC 2, and other regulatory requirements — and proactively identify gaps before they become findings.
  • Own networking architecture decisions including VPC topology, Transit Gateway strategy, VPN configurations, load balancer patterns (ALB/NLB), CDN optimization (Fastly/CloudFront), and DNS management.
• AI/ML Infrastructure & Developer Productivity
  • Define the strategy for evaluating, integrating, and governing AI-powered developer tools (e.g., Cursor AI, GitHub Copilot, CodeRabbit) across the engineering organization — including usage analytics, cost optimization, security review, and policy frameworks.
  • Architect infrastructure for AI/ML workloads: GPU-enabled compute, SageMaker endpoints, Bedrock integration, vector databases, and data pipeline orchestration.
  • Lead the adoption of AI-driven automation for infrastructure operations — intelligent alerting, anomaly detection, auto-remediation, and AIOps patterns — moving from exploration to production integration.
  • Build and champion internal platforms and golden paths that leverage generative AI to improve developer experience, reduce operational toil, and accelerate delivery velocity.
• Technical Leadership & Collaboration
  • Act as a trusted technical advisor to the Director of Engineering and engineering leadership on infrastructure strategy, trade-offs, and investment priorities.
  • Lead cross-functional initiatives spanning application engineering, data, security, and DevSecOps teams — driving alignment on complex multi-team infrastructure projects.
  • Represent the CIN team in architecture review boards, incident response leadership, and engineering-wide planning sessions.
  • Author and maintain comprehensive technical documentation, runbooks, ADRs, and operational procedures that serve as organizational knowledge assets.
  • Mentor senior and mid-level engineers; conduct thorough design and code reviews; actively contribute to hiring and onboarding processes for the CIN team.

What you bring

• 5+ years of hands-on experience in cloud infrastructure engineering, with deep, production-proven expertise in AWS.
• Track record of owning and driving infrastructure initiatives end-to-end — from design and architecture through implementation, rollout, and operational excellence.
• Expert-level proficiency with Terraform, including module design, state management strategies, and establishing IaC standards for engineering teams.
• Extensive production experience operating Kubernetes (EKS strongly preferred) at scale — cluster lifecycle management, multi-tenancy patterns, Helm governance, and GitOps workflows.
• Strong Linux systems engineering skills and advanced scripting proficiency (Python, Bash, or Go).
• Deep expertise in CI/CD platforms (GitHub Actions, ArgoCD, Jenkins) with experience designing deployment strategies for multi-service architectures.
• Expert-level understanding of cloud networking (VPC architecture, Transit Gateway, peering, DNS, load balancing) and security (IAM, KMS, WAF, GuardDuty, Secrets Manager).
• Proven experience designing and operating observability platforms (Datadog, Prometheus/Grafana, CloudWatch, OpenSearch/ELK) at organizational scale.
• Strong experience with database infrastructure and data layer architecture (Aurora PostgreSQL, RDS, ElastiCache/Redis, OpenSearch, DynamoDB).
• Demonstrated ability to lead disaster recovery planning, execute DR simulations, and design HA architecture patterns for mission-critical systems.
• Excellent technical communication skills — ability to write clear ADRs, present to leadership, and translate infrastructure complexity for non-technical stakeholders.
• Proven track record of mentoring engineers and elevating team capabilities through knowledge sharing, design reviews, and tooling improvements.

Bonus points

• 7+ years of infrastructure or platform engineering experience, including 3+ years operating at a senior or staff level.
• Experience in financial services, fintech, broker-dealer, or other heavily regulated industries with FINRA/SEC compliance requirements.
• AWS certifications at the Professional or Specialty level: Solutions Architect Professional, DevOps Engineer Professional, Security Specialty, or Machine Learning Specialty.
• Experience with event streaming platforms at scale (Amazon MSK / Apache Kafka) including cluster operations, partition strategy, and consumer group management.
• Hands-on experience with API gateway management and platform design (Kong, AWS API Gateway).
• Demonstrated experience with AI/ML infrastructure: provisioning GPU compute, SageMaker/Bedrock integration, vector databases, MLOps pipelines, or AIOps automation in production.
• Experience defining and executing organizational rollout strategies for AI developer tools, including governance frameworks, usage analytics, and cost management.
• Proficiency with policy-as-code frameworks (OPA/Rego, Sentinel, Kyverno) for infrastructure governance and compliance automation.
• FinOps certification or demonstrated experience leading cloud cost optimization programs at scale.
• Experience authoring RFCs, ADRs, or technical strategy documents that influenced engineering-wide decisions.
• Contributions to open-source projects, conference talks, or published technical writing.

About this position:

We’re looking for a deeply technical, strategically minded Domain Architect to lead the next evolution of our platform architecture. In this role, you’ll rapidly assess our existing systems, define convergence opportunities between key domains, and shape the integration strategy that drives scalability, velocity, and long-term technical excellence. You’ll bridge product, engineering, and data to define clear domain boundaries, establish technical standards, and guide the modernization of our architecture—ensuring we balance innovation with business impact.

This role is ideal for an experienced architect who thrives in fast-moving environments, understands the trade-offs between pragmatism and purity, and can translate complex technical concepts into clear, actionable decisions across teams.

What you'll be doing:

Strategy

• Evaluate and define the target-state domain architecture across multiple products, identifying convergence opportunities and technical debt reduction paths.
• Design and lead a scalable integration strategy between heterogeneous systems (e.g., Rails <-> Node/React Native via APIs, Kafka, or event streams).
• Define domain boundaries and service ownership models that enable sustainable growth and platform flexibility.
• Partner with Product and Engineering leadership to align architectural priorities with product roadmaps and business outcomes.
• Lead cross-functional discussions on modernization strategy, balancing short-term delivery with long-term scalability.

Technical/ Execution

• Decompose monolithic applications (Rails, Django, Laravel) into domain-based services or bounded contexts, using domain-driven design principles.
• Define integration and data synchronization patterns between distributed systems, ensuring schema evolution and API versioning best practices.
• Architect core platform services—authentication, identity, content, and analytics—shared across web and mobile products.
• Apply deep hands-on knowledge of AWS (EC2, ECS/EKS, Lambda, S3, RDS/Postgres, EventBridge/SNS/SQS) and IaC tools (Terraform, CloudFormation).
• Introduce observability, monitoring, and CI/CD standards (Datadog, OpenTelemetry, GitHub Actions, CircleCI) that support secure, high-quality releases.
• Provide technical mentorship and architectural reviews to ensure strong engineering standards and knowledge transfer across teams.

Team / Collaboration

• Partner with Product, Design, and Engineering leaders to guide architecture decisions that optimize both user experience and technical sustainability.
• Contribute to architecture guilds and domain working groups, defining shared frameworks and principles for system evolution.
• Communicate architectural trade-offs clearly—speed vs scalability, build vs buy, monolith vs microservice—to technical and non-technical stakeholders.
• Author and socialize Architecture Decision Records (ADRs), domain maps, and shared service contracts to ensure alignment and transparency.
• Act as a trusted advisor and mentor to senior engineers, promoting best practices in distributed system design and software craftsmanship.

Leadership

• Lead by influence across engineering teams, setting a high bar for architectural rigor, documentation, and technical collaboration.
• Champion scalable, pragmatic engineering principles that accelerate business velocity while building for the future.
• Drive the adoption of a modern technical culture—balancing innovation, quality, and accountability.

Research/Best Practices

• Stay current on evolving architectural paradigms (domain-driven design, event-driven systems, microservices, and data mesh patterns).
• Introduce architectural innovations and tools that improve developer efficiency, code quality, and system observability.
• Conduct architecture reviews and share learnings company-wide to foster continuous improvement and technical excellence.

What success looks like:

• Clear domain boundaries and service ownership models are defined and adopted across engineering teams.
• Integration patterns between systems are reliable, documented, and scalable, supporting faster feature delivery.
• Architecture decisions are data-informed, balancing speed, cost, and technical debt effectively.
• The engineering organization demonstrates improved velocity and reduced friction between teams.
• Foundational technical debt reduction and modernization initiatives are underway, with measurable impact on reliability and maintainability.
• You’re seen as a collaborative, trusted technical leader who bridges architecture and product strategy seamlessly.

What you bring:

• 10+ years of progressive software engineering experience, with at least 3+ years in a senior or principal architecture role.
• Proven expertise designing and evolving architectures in high-scale, multi-product environments (Rails, Node.js, React Native preferred).
• Deep understanding of domain-driven design (DDD), service decomposition, and event-driven patterns.
• Strong AWS architecture experience (ECS/EKS, Lambda, RDS, S3, EventBridge, SQS/SNS) and infrastructure-as-code (Terraform, CloudFormation).
• Demonstrated ability to modernize legacy systems incrementally, driving results without full rebuilds.
• Solid understanding of data synchronization, API design, schema evolution, and distributed systems reliability.
• Experience defining and implementing CI/CD pipelines, observability stacks, and deployment strategies (canary, blue-green, multi-env).
• Excellent communication and stakeholder management skills, with the ability to simplify complex ideas for diverse audiences.
• Passion for mentorship, system design, and building architectures that enable product and team growth.

How you work: 

Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.

Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.

Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.

Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.

Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.

Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$200,000 - 230,000 OTE

#LI-remote

Position Summary

As a Software Engineer, Dev Productivity, you’ll work at the intersection of software development, automation, and infrastructure. Your mission is to streamline engineering workflows, optimize CI/CD systems, build and testing infrastructure, and enhance developer tooling to accelerate software delivery.

Key Responsibilities

• Design, build, and maintain high-performance CI/CD pipelines to improve development speed and reliability.
• Develop internal tools and automation to reduce friction in engineering workflows.
• Optimize build and test infrastructure for faster feedback loops.
• Work closely with engineering teams to identify and eliminate inefficiencies in the development process.
• Enhance and monitor developer environments to improve developer experience
• Advocate for best practices in software development, version control, and release management.
• Drive the adoption of automation and tooling that increase engineering efficiency.

Key Qualifications

• Strong experience with CI/CD tools like GitHub Actions, Jenkins, GitLab CI, Buildkite, or CircleCI.
• Experience with build systems (e.g., Bazel, CMake, Make, Gradle).
• Experience with python dependency management (e.g. poetry, uv)
• Knowledge of containerization and Kubernetes for scalable builds and testing.
• Strong problem-solving skills and a passion for improving developer experience.
• Proficiency in scripting and automation with Python, Bash, or Go.
• Excellent communication skills and ability to work across teams.

Preferred Qualifications

• Experience with docker image build optimization
• Experience with bazel
• Experience with GPUs

What HeyGen Offers

• Competitive salary and benefits package.
• Dynamic and inclusive work environment.
• Opportunities for professional growth and advancement.
• Collaborative culture that values innovation and creativity.
• Access to the latest technologies and tools.

Salary Range
$180,000 – 240,000 annually
Please note that the salary information is a general guideline only.  HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer.  As part of our total rewards package, HeyGen offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources.

HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.