About the role 

Roku is seeking a Technology Audit Manager to join its Finance & IT Compliance team. This role will lead and evolve Roku’s technology SOX compliance program, partnering closely with Engineering, Security, Product, and Finance teams to ensure scalable, high-quality controls across a rapidly growing and complex engineering environment. 

You will operate at the intersection of audit, technology, and automation, overseeing internal controls across enterprise systems, cloud infrastructure, data platforms, and cybersecurity. You will also drive controls-by-design for system implementations and business process transformations A key priority for this role is modernizing the IT SOX program through AI-powered automation and continuous auditing to improve precision, coverage, and efficiency. 

This is a high-impact, hands-on role for a proactive and driven professional who excels in fast-paced environments, collaborates effectively across teams, and brings the vision and execution focus to scale and modernize the compliance function alongside company growth. The ideal candidate brings strong experience in IT SOX and technology audits, along with a builder mindset, the ability to navigate ambiguity, and a track record of influencing cross-functional stakeholders. You should be equally comfortable diving into control details, partnering with engineering teams on system design, and driving strategic initiatives that enhance the overall control environment. 

For California Only - The estimated annual salary for this position is between $170,000 and 187,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What you’ll be doing 

• Lead and oversee the company’s technology SOX compliance program, evaluating the design and operating effectiveness of IT general controls, automated controls, and key reports supporting financial reporting 
• Maintain a deep understanding of the organization’s end-to-end technology ecosystem and its impact on financial reporting, staying current on system changes, policies, regulatory guidance, and industry best practices 
• Own audit oversight for system implementations, technology transformations, and process automation initiatives, partnering cross-functionally to ensure controls-by-design, strong SDLC governance, and scalable SOX-readiness from pre-go-live through post-implementation 
• Lead cloud infrastructure audits across AWS and GCP environments, assessing controls over access management, network security, encryption, logging and monitoring, configuration management, and data residency; evaluate cloud-native security tools and drive control maturity 
• Drive AI-powered automation of internal controls testing by integrating with IAM platforms (e.g., Okta, AWS IAM) and GitLab to continuously monitor access risks, code changes, and CI/CD controls; leverage AI/ML and automation to detect anomalies and generate audit-ready evidence that enables continuous auditing and improves precision, coverage, and efficiency 
• Establish and maintain an AI controls automation governance framework, including model validation standards, quality thresholds, and human-in-the-loop checkpoints to ensure accuracy, auditability, and regulatory defensibility 
• Assess control deficiencies, perform root cause analysis, and drive remediation efforts to closure, including validation and re-testing of corrective actions 
• Coordinate with co-sourcing partners, external auditors, and control owners to ensure cohesive execution; act as a trusted advisor by anticipating stakeholder needs and delivering actionable insights 
• Prepare and review audit workpapers, reports, ensuring compliance with professional standards and delivering clear, data-driven insights 

We’re excited if you have 

• 6–8+ years of relevant technology audit and IT SOX compliance experience, ideally combining Big 4 public accounting and in-house internal audit/SOX roles at a fast-paced public technology company 
• Bachelor’s degree in computer science, Information Systems, Finance, Accounting, or related field 
• Professional certifications such as CISA, CISSP, or CISM preferred; additional certifications (CPA, CIA, CFE) are a plus 
• Strong experience across technology audit domains, including IT general controls (ITGCs), automated controls (ITACs), cloud infrastructure, data engineering, DevOps processes, cybersecurity, system implementations, and business process automation 
• Hands-on experience designing and evaluating IT general and security controls in cloud environments (AWS, GCP); cloud certifications are highly desirable  
• Experience auditing or supporting enterprise platforms (e.g., NetSuite, Salesforce, Workday) and modern engineering environments (e.g., GitHub, CI/CD pipelines) 
• Solid understanding of SOX and broader compliance frameworks (SOC 1/2, GDPR, PCI-DSS) and security/governance standards (ISO 27001, COBIT, NIST) 
• Experience operating in high-growth, fast-paced environments, with the ability to scale processes and controls alongside business expansion 
• Strong leadership, communication, and project management skills, with the ability to collaborate effectively across technical and business teams 
• Self-driven and proactive, with the ability to manage multiple priorities and deliver high-quality results with minimal supervision 

Extra Credit 

• Master's degree in finance, accounting, computer science, IT, or related field  
• Strong understanding of finance and business processes, including quote-to-cash, revenue recognition, procure-to-pay, HR operations, and payroll 
• Hands-on experience with automation, AI, and analytics tools to drive audit efficiency and insights. Familiarity with GRC tools like Auditboard is a plus 
• Experience with identity and access management (IAM) and governance tools (e.g., Okta, SailPoint, CyberArk), including user access reviews (UAR), role design, and segregation of duties (SoD) analysis 
• Proven ability to quickly learn and adapt to evolving emerging technologies, including AI, cloud, payments, data platforms, and modern engineering environments, within the media & entertainment industry 

#LI-RR1 

Role

We are looking for a Staff Software Development Engineer - DevSecOps to join our team in a hybrid capacity in San Jose, CA, reporting to the Director, Software Development Engineering. Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. You will support internal product teams in managing CI/CD pipelines, strengthening security practices, and maintaining shared engineering systems to enable organizations worldwide to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Build and manage CI/CD systems to deploy critical applications across hybrid cloud environments including AWS, GCP, and proprietary clouds

• Support internal product teams with CI/CD pipelines, automations, and tools like GitLab, GitHub, Jenkins, ArgoCD, and security scanning solutions

• Secure code, applications, and infrastructure using security scanning tools such as SonarQube, Snyk, Coverity, and CheckMarx

• Administer and optimize critical DevSecOps applications while monitoring build metrics with tools like Grafana, Prometheus, and CloudWatch

• Communicate progress to stakeholders through Jira, technical documentation, and clear status updates

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of professional experience including hands-on experience managing cloud environments such as AWS, GCP, or private clouds

• Proficiency in application development or automation using OOP languages like C/C++, Java, Python, or Go, plus exposure to container orchestration and automation tools

• Familiarity with application security testing methodologies and experience using tools like SonarQube, Snyk, Coverity, or CheckMarx

• Experience designing and managing GitOps-based pipelines using GitLab, GitHub, and CI/CD automation tools like Jenkins or GitHub Actions

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience

What Will Make You Stand Out (Preferred Qualifications)

• Experience with AI and ML tools in day to day DevSecOps activities

• Experience writing and developing yaml based CI/CD Pipelines and knowledge of build tools like makefiles, gradle, npm, or maven

• Experience with Networking, Load Balancers, Firewalls, and Web Security

#LI-Hybrid #LI-KM9

We are looking for a top-tier Enterprise Cloud Security Engineer to design and secure the cloud infrastructure supporting the next phase of sustainable air mobility. You are a collaborative, hands-on professional with excellent communication skills and the ability to see the big picture. In this role, you will be responsible for securing our cloud-native environments (AWS/Azure) and ensuring that our telemetry, flight operations, and enterprise systems are protected against advanced persistent threats. You will connect DevOps and Security by incorporating "secure-by-design" principles into our Infrastructure as Code (IaC) and CI/CD pipelines, while ensuring compliance with aviation and federal standards (NIST CSF, 800-53, FedRAMP, DO-326A).

Key Responsibilities

• Cloud Architecture & Hardening: Design, implement, and maintain secure cloud architectures across AWS and Azure. Enforce zero-trust principles and least-privilege access using advanced IAM policies and roles.
• Infrastructure as Code (IaC) Security: Lead the security review and automated scanning of IaC templates (Terraform, CloudFormation, Helm). Prevent misconfigurations before they reach production.
• DevSecOps & Automation: Integrate security tooling (CSPM, CWPP, Secret Scanning) directly into CI/CD pipelines (Jenkins, GitLab, GitHub Actions) to enable rapid, secure deployment.
• Kubernetes & Container Security: Secure containerized workloads and orchestration platforms (EKS/AKS), ensuring runtime protection, image scanning, and network segmentation.
• Compliance & Governance: Map cloud security controls to industry frameworks, including NIST SP 800-53, ISO 27001, and aviation-specific standards like DO-326A—Automate evidence collection for audits.
• Threat Detection & Incident Response: Build high-fidelity detection rules for cloud threats using SIEM/SOAR platforms. Lead investigations into cloud security incidents and perform forensics on ephemeral workloads.
• Telemetry & Data Protection: safeguard critical flight telemetry and sensitive data pipelines through robust encryption, key management (KMS/HSM), and data loss prevention (DLP) strategies.

Required Qualifications

• Experience: 5+ years of experience in Cloud Security, DevSecOps, or Infrastructure Engineering, with at least 3 years focused on public cloud (AWS, Azure, and GCP).
• Technical Mastery: Deep hands-on expertise with Terraform, Kubernetes, and Linux environments.
• Coding/Scripting: Proficiency in Python, Go, or Bash for automating security tasks and building custom tooling.
• Security Tooling: Experience implementing and tuning CSPM/CNAPP tools (e.g., Wiz, Prisma Cloud, Orca, Sysdig) and SIEM platforms (Tenex, Splunk, Datadog Security).
• Frameworks: Working knowledge of NIST CSF, NIST 800-53, or FedRAMP requirements.

Preferred Qualifications

• Aerospace/Defense Experience: Familiarity with DO-326A (Airworthiness Security), ITAR regulations, or safety-critical systems.
• Certifications: AWS Certified Security – Specialty, Azure Security Engineer (AZ-500), CKA (Certified Kubernetes Administrator), and CISSP, CISM.
• Architecture: Experience designing "Zero Trust" networks and implementing Service Mesh (e.g., Istio, Linkerd) security.
• Offensive Security: Experience conducting cloud penetration tests or "Purple Team" exercises to validate defenses.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $155,000.00 - $185,00.00. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

We are looking for a highly motivated and versatile Senior Platform Engineer to join our platform engineering team. This unique role is central to accelerating our product development lifecycle and operational efficiency. You will be instrumental in bridging the gap between development, infrastructure, and our burgeoning AI/ML initiatives, focusing on automation, self-service infrastructure, and workflow optimization. This position is ideal for an experienced engineer who thrives on creating leverage for others and tackling complex, interdisciplinary challenges.

Key Responsibilities:

CI/CD and Automation

• Design, implement, and maintain scalable and reliable CI/CD pipelines (e.g., using GitLab CI, GitHub Actions, Jenkins, Spinnaker) to ensure rapid and safe deployments across multiple environments.
• Drive the adoption of best practices for build management, testing automation, and deployment strategies (Canary, Blue/Green, etc.).
• Minimize deployment friction and cycle time for all engineering teams.

Self-Service Infrastructure & Provisioning

• Develop and champion self-service tooling and internal platforms (leveraging tools like Terraform, Ansible, Kubernetes, or equivalent cloud provider APIs) that empower development teams to provision and manage their own infrastructure resources securely and efficiently.
• Establish guardrails and policy-as-code to ensure compliance, cost efficiency, and security across all provisioned infrastructure.

AI Infrastructure Enhancement & Support

• Collaborate closely with AI/ML Engineers to improve the underlying platform used for model training, experimentation, and serving.
• Focus on the operationalization of MLOps pipelines, including data lineage tracking, feature store integration, and production model deployment automation.
• Assist in optimizing resource allocation (e.g., GPU usage, specialized hardware) for AI workloads.

Workflow Automation & Internal Tooling

• Architect and build automated workflows and bots, primarily within communication tools like Slack or Zoom, to streamline common engineering tasks (e.g., on-call handoffs, incident response, environment status checks, approval processes).
• Develop internal APIs and services that connect disparate engineering systems to enhance communication and cross-functional transparency.

Required Qualifications

• 5+ years of professional experience in Platform Engineering, DevOps, Site Reliability Engineering (SRE), or a related discipline.
• Deep expertise in cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform strongly preferred).
• Expertise in containerization and orchestration technologies (Docker and Kubernetes).
• Proficiency in scripting and general-purpose programming languages (e.g., Python, Go, Bash).
• Extensive experience designing and managing CI/CD systems at scale.
• Proven track record of building internal developer platforms or self-service tools.

Preferred Qualifications

• Experience with AI/ML infrastructure, MLOps tooling, or data pipeline technologies (e.g., Airflow, Kubeflow, Vertex AI, SageMaker).
• Prior experience building conversational interfaces, bots, or workflow automation tools for platforms like Slack or Teams.
• Familiarity with distributed tracing, logging, and monitoring systems (e.g., Prometheus, Grafana, ELK stack, Datadog).
• Experience with security best practices in a cloud environment (IAM, network security, secrets management).

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $144,000 - $175,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What you’ll do:

• Architect and lead the team managing Archer’s lab integration environments supporting validation and verification activities, handling quality evaluations, human factor evaluations and test pilot training.
• Collaborate cross-functionally with internal groups and suppliers to integrate, instrument and maintain configuration of simulation models in a real-time, integrated hardware-in-the-loop environments .
• Own end-to-end configuration of simulation environments (e.g., SIL, HIL, CeRT, Iron Bird), including data analysis and simulation correlation with flight test data.
• Develop and optimize simulation pipelines including CI/CD integration for automated deployment, execution, and monitoring.
• Integrate third-party software/hardware systems into cohesive simulation architectures.
• Set technical standards, provide mentorship, and foster a collaborative and high-performance engineering culture.
• Guide the design and build of graphical user interfaces to control the real-time simulation environment.
• Lead task decomposition, technical planning, and debugging of complex issues across real-time and distributed systems.
• Influence tool architecture in support of lab configuration and automation

What you need:

• 9+ years of experience in simulation software development and systems integration.
• Bachelor's or higher degree in Aerospace, Software, Electrical Engineering, Computer Science, or a related field.
• Seasoned technical lead for an engineering team; providing guidance in planning and execution.
• Advanced proficiency in C/C++ and Python.
• Very experienced  in MATLAB/Simulink.
• Extensive experience developing real-time HIL test infrastructures.
• Proven ability to develop simulation tools with a focus on usability, modularity, and performance.
• Expert of communication standards and protocols (RS-422/485, CAN/CAN-FD, ARINC-429, Ethernet, TCP/IP, USB etc…)
• Experience prototyping Graphical User Interfaces based on user feedback.

• Knowledgeable with software engineering practices including CI/CD (GitHub Actions, Jenkins), test-driven development, and agile methodologies.
• Strong problem-solving and debugging skills with a proactive, solutions-oriented mindset.
• Comfortable working in cross-disciplinary teams and mentoring junior engineers.
• Comfortable leading Agile/SCRUM methodologies and tools throughout the organization
• Familiarity with Tool Qualification Levels TQL

Preferred Qualifications

• Experience with aerospace, spacecraft, or robotics systems—including modeling of flight dynamics, sensor-actuator loops, or avionics.
• Proficiency in the NI software suite (LabVIEW, VeriStand).
• Experience developing and troubleshooting custom code (i.e. plugins, logical devices, custom devices) for real-time OS
• Background in simulation infrastructure for VTOL, rotorcraft, or autonomous vehicles.
• Understanding of control theory, GNC algorithms, and physics-based modeling.
• Hands-on experience with HIL/SIL test rigs, hardware communication protocols, and test instrumentation.
• Exposure to regulatory frameworks (FAA, DoD, NASA) and test certification environments.
• Startup or fast-paced development experience is a plus.
• Experience automating and executing test plans.
•  Experience with DO-178 and other aviation standards  
• Familiarity with fault injection methodologies.
• Familiarity with lab equipment such as oscilloscopes, logic analyzers and protocol analyzers.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $170,000 - $215,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

About the Role

We are looking for a Senior Platform Engineer to join the Workload team within the Veeam R&D Department. You will own critical observability infrastructure, drive incident response maturity, and help scale proactive support capabilities as operational accountability. 

What You’ll Do

• Design, build, and maintain observability pipelines using the Elastic Stack (Elasticsearch, Kibana, Fleet) across Azure and AWS workloads 
• Develop and own SLO/SLI dashboards and error budget reporting for BaaS platform services 
• Respond to and lead incident response for distributed, multi-tenant cloud workloads; own runbook creation, maintenance, and continuous improvement
• Build and refine proactive support tooling, including pattern analysis, tenant correlation dashboards, and baseline deviation alerting, to reduce reactive support burden 
• Manage and maintain Elastic Fleet agent policies, enrollment health, and log streaming pipelines across Azure and AWS worker fleets 
• Partner with SRE, R&D, and Proactive Support teams to close observability gaps, including tenant identification workflows and admin portal integrations 

Technologies we work with

• ⁠Elastic Stack — Elasticsearch, Kibana, Elastic Fleet, KQL, Query DSL
• Azure Kubernetes Service (AKS), Azure Container Apps, VMs
• Azure Security — Entra ID, Managed Identities (user/system assigned), App Registrations, Key Vault
• Infrastructure as Code — Azure Bicep, Terraform, or Pulumi
• CI/CD — Azure DevOps, GitHub Actions
• ITSM tooling — ServiceNow, Salesforce, Jira, Incident.io (for tenant and incident workflows) 

What You’ll Bring

• 5+ years of experience in cloud platform engineering, SRE, or infrastructure roles supporting commercial SaaS products
• Deep hands-on experience with Elastic Stack: Building dashboards, writing KQL/Query DSL, managing Fleet
• Proven experience operating and troubleshooting distributed, multi-tenant workloads on Azure and/or AWS
• Strong understanding of Azure cloud services: AKS, Entra ID, Key Vault, Service Bus, Cosmos DB, Private Endpoints, etc.
• Experience with incident response in production cloud environments, including runbook development and post-incident review
• Experience with IaC tools (Azure Bicep, Terraform) and CI/CD pipelines (Azure DevOps, GitHub Actions) 
• Strong scripting skills in Bash, Python, or PowerShell
• Ability to work cross-functionally with SRE, product, and customer-facing support teams 

Bonus Skills

• Familiarity with Veeam Data Platform products 

#LI-AA3

Make your impact within a rapidly growing Fintech Company

Join BILL’s Account Payables - Multi-Entity team, where we are transforming how businesses manage complex financial operations across multiple entities, subsidiaries, and locations. As a Senior Software Engineer, you’ll architect and scale innovative back-office solutions, managing enterprise-level data volumes and complex workflows that empower Lower Mid-Market Customers and Accountants to streamline operations through our flagship Multi-Entity (ME) offering.

This team operates with a "startup" mentality within the broader AP operations, having built a 0-to-1 core platform in the last year that handles data across hundreds of entities with a focus on reliability, high performance, and availability. This is your opportunity to work in a collaborative, high-growth environment where your technical expertise will directly influence BILL’s vision to empower businesses through financial automation. Please note that this role is operating in a hybrid working model out of our San Jose office. 

Responsibilities:

• Design, develop, and maintain robust, scalable software solutions for multi-entity account payable workflows.
• Collaborate cross-functionally with product managers, designers, and other engineers to translate business requirements into technical deliverables.
• Analyze complex problems, break them down into manageable components, and implement effective, maintainable solutions.
• Contribute to code reviews, share technical knowledge, and mentor junior team members to elevate team performance.
• Proactively identify areas for process and system improvements, recommending and implementing enhancements to drive product quality and efficiency.
• Ensure solutions adhere to best practices in security, reliability, and performance.
• Stay current with industry trends and emerging technologies, bringing new ideas to the team.

We’d love to chat if you have:

• Bachelor’s degree in Computer Science or a related field (Master’s a plus); typically 5+ years of professional software engineering experience
• Strong understanding of large-scale web applications and distributed systems—including deployment, capacity planning, monitoring, and incident management
• Proven ability to evaluate trade-offs and collaborate across teams on complex technical and business initiatives
• Experience leading technical strategy for Multi-Entity SaaS platforms, with demonstrated success in scaling systems to support millions of mission-critical transactions
• Full-Stack Proficiency: Hands-on experience with Angular, React or similar for front-end, and Java or TypeScript/Node.js  or similar for back-end services.
• AI Driven Development: Experience leveraging Gen AI technologies to accelerate software engineering by designing prompts, rigorously evaluating outputs, and integrating LLMs
• Technical Breadth: Working knowledge of GraphQL, AWS (Lambda, DynamoDB, S3, SNS/SQS), microservices, and API gateway patterns.
• Systems Thinking: Strong understanding of large-scale web applications, distributed systems, monitoring, and CI/CD (GitHub Actions, Jenkins). 

Visa Sponsorship:  Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

#LI

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

What you’ll do:

• Architect, build, and maintain Continuous Integration and Continuous Deployment (CI/CD) workflows and automated testing pipelines for the GNC and Vehicle Simulation groups using tools like GitHub Actions and TeamCity.
• Support developing and maintaining automated toolchains to generate, compile, and deploy Simulink and MATLAB code across multiple targets, including desktop simulation environments, Hardware-in-the-Loop (HIL) lab hardware, and flight computers for both subscale and full-scale vehicles.
• Architect new, and manage existing, High-Performance Computing (HPC) infrastructure to support large-scale Monte Carlo simulations, batch regression testing, and parallelized simulations and testing
• Manage the critical software interfaces between the "Virtual Vehicle" (Simulink models) and downstream platforms, including managing Interface Control Documents (ICDs), data dictionaries, and signal mapping to embedded middleware.
• Develop C/C++ wrapper functions, S-functions, and harnesses to integrate compiled code and external libraries seamlessly within the MATLAB/Simulink environment.
• Act as a cross-functional engineering multiplier: Leverage your familiarity with aerospace principles to flex across roles, contributing directly to vehicle simulation modeling, physics tooling, or GNC integration tasks when needed.
• Serve as the primary technical bridge between the Flight Dynamics & Control (FD&C) team and the Platform embedded software team, ensuring that complex algorithms translate predictably to real-time execution.

What you need:

• BS/Advanced Degree in Aerospace Engineering, Computer Science, Electrical/Computer Engineering, or a related field with at least 8 years of relevant experience 
• Foundational understanding of aerospace principles, vehicle dynamics, or GNC concepts, enabling you to speak the exact same language as the engineers whose algorithms you are deploying.
• Proficiency in MATLAB and Simulink, specifically including auto-code generation tools (Simulink Coder, Embedded Coder).
• Strong proficiency in modern C/C++ and experience integrating C/C++ with Simulink.
• Proven experience designing and maintaining CI/CD workflows using GitHub Actions, TeamCity, Jenkins, or similar platforms.
• Strong scripting skills (Python, Bash, or MATLAB scripting) for automating build systems and testing pipelines.
• Ability to use, understand and leverage modern LLMs and AI based coding tools.

Bonus Qualifications: 

Direct experience developing or verifying GNC/Vehicle Simulation systems in simulation or on hardware is a major plus!!

• Experience with real-time operating systems (RTOS) like Linux RT, VxWorks, or QNX.
• Experience with Hardware-in-the-Loop (HIL) systems (e.g., Speedgoat, dSPACE, VeriStand).
• Knowledge of communication protocols (CAN, Ethernet, RS-422) and middleware (DDS, ROS2).
• Experience with Model-Based Design (MBD) certification standards like DO-331 or safety-critical software development (DO-178C).
• Experience packaging and containerizing simulation environments (Docker, Kubernetes).

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local law. For this position we are targeting a base pay between $170,000 - $215,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We’re seeking an Embedded Systems Integration Engineer to build the backend infrastructure that validates the interaction between our hardware, firmware, and software. You will be the connective tissue across disciplines: owning how changes to firmware or software are tested against real hardware. Your work ensures we ship reliable, integrated systems that just work.

This is a hands-on role where you will design and implement automated test frameworks, bring-up flows, and validation pipelines for embedded subsystems. You'll be responsible for catching regressions early, enabling fast iteration, and giving clear system-level pass/fail signals across the stack.

Key Responsibilities

• Architect test infrastructure that exercises end-to-end functionality of embedded systems across hardware, firmware, and software boundaries.
• Develop backend systems (Python, CLI tools, internal APIs) to run tests, log results, and determine pass/fail conditions.
• Bring up and validate  subsystem and system level changes, tracking changes in behavior and performance across releases.
• Automate testing pipelines for regression detection and continuous integration.
• Debug and triage failures across layers—hardware faults, firmware bugs, or software integration issues.
• Collaborate with firmware, software, and hardware teams to define interface contracts and testable behaviors.
• Instrument devices under test using scopes, logic analyzers, and custom harnesses to characterize system response.

Minimum Qualifications

• Bachelor’s in EE, CE, CS, or a related field.
• 3+ years of experience working with embedded systems.
• Strong understanding of how firmware interacts with hardware peripherals (I2C, Ethernet, SPI, CAN, UART, ADCs, GPIO, etc.).
• Proficiency in Python or similar scripting language for test automation.
• Experience bringing up custom embedded boards and working across firmware/software stacks.
• Familiarity with Linux-based development environments.

Preferred Qualifications

• Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, TeamCity).
• Knowledge of test automation frameworks (e.g., PyTest, Robot Framework).
• Exposure to hardware-in-the-loop (HIL) systems.
• Familiarity with board-level validation, power-on sequencing, or sensor verification.
• Prior experience in robotics, automotive, aerospace, or other complex embedded systems.
• Comfort working hands-on at the bench with test equipment.

The US base salary range for this full-time position is between $140,000 and $180,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

About the role

Muon seeks a Test Automation Software Engineer to join our satellite development team in San Jose, CA. You will be responsible for designing, building, and maintaining the software test infrastructure used to test both the hardware components such as avionics computers and other electronics, and the software that forms the backbone of Muon's spacecraft. You will contribute to an ecosystem of test and development tooling used by a large swath of the company for hardware and software testing across Muon’s Halo platform. The ideal candidate has experience developing test automation frameworks, hardware-in-the-loop systems, device simulation, and manufacturing testing. Previous experience working on interdisciplinary projects, such as robotics, autonomous vehicles, avionics, or aerospace, is a strong asset.

Responsibilities 

• Design, develop, and maintain robust and scalable software test frameworks and infrastructure for hardware-in-the-loop (HIL) and component-level testing.
• Create and automate tests for avionics computers and other electronic hardware components used in Muon's spacecraft.
• Collaborate closely with hardware, avionics, and software engineers to define test requirements, develop comprehensive test plans, and troubleshoot issues identified during testing.
• Integrate test infrastructure with continuous integration and continuous deployment (CI/CD) systems to streamline the testing process.
• Develop tools, utilities, and processes to improve test efficiency, test coverage, and the reliability of test results.
• Analyze test data, identify failures or anomalies, and work collaboratively with relevant engineering teams to investigate and resolve hardware and software issues.
• Maintain documentation for test infrastructure, procedures, and equipment.
• Contribute to an inclusive, collaborative, and team-oriented culture that fosters high productivity and opportunities for growth.

Qualifications 

• B.S. or equivalent experience in Computer Science, Electrical Engineering, Aerospace Engineering, Robotics, or a related field.
• 3+ years of experience in software development, with a significant focus on test automation or test infrastructure development.
• Strong programming skills, particularly in Python.
• Proven experience with testing embedded systems or hardware components.
• Experience developing or working with software for hardware-in-the-loop (HIL) testbeds.
• Familiarity with common electronics test equipment (e.g., oscilloscopes, multimeters, power supplies, logic analyzers).
• Experience with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines (e.g. Github Actions)
• Strong sense of accountability, integrity, and team focus with extensive multi-tasking and organizational experience.

Nice-to-have Skills

• Experience specifically testing avionics or aerospace hardware systems.
• Experience with real-time operating systems (RTOS).
• Knowledge of communication protocols common in aerospace (e.g., CAN, Ethernet, RS-422/485).
• Experience with data acquisition (DAQ) systems and sensor integration.
• Programming experience in C/C++ or Rust.
• Track record of scrappiness and getting it done.

Salary

The salary range for this role is $156,000 - $208,000 plus a competitive equity grant and comprehensive benefits package. Final compensation will be based on skills, qualifications, experience, and geographic location as assessed during the interview process.

We are seeking an experienced and motivated front-end engineer to advance our core mission: using the world’s most advanced technology for emotion understanding to build empathy and goal-alignment into AI. Join us in the heart of New York City, or wherever you are located, and contribute to our endeavor to ensure that AI is guided by human values, the most pivotal challenge (and opportunity) of the 21st century.

About Us

As a Front-End Engineer, you will work closely with our team of research scientists, machine learning engineers, and designers to build our developer platform and commercial applications, making our powerful AI solutions accessible to users with varying degrees of technical sophistication through cutting edge no-code tools. 

Responsibilities

• Contribute new features to our frontend tools while maintaining high standards of excellence.
• Work autonomously to maintain and identify areas of improvement for existing code and tests.
• Identify areas for improvement within existing codebase that reduces code complexity and improves overall performance of web applications.
• Build internal tools to help facilitate prototyping, maintenance, and quality of codebase.
• Collaborate closely with our design, product, backend, and research teams.

Requirements

• 3-7 years of experience in developing frontend web applications.
• Proficiency with a modern frontend stack (TypeScript, React, Next, Tailwind, etc).
• Expertise in modern frontend best practices, including accessibility, semantic markup, Core Web Vitals, and optimization.
• Proficiency with tools like debuggers, profilers, and flamegraphs to identify areas of improvement for performance
• Proficiency with tools for automated testing and CI/CD (such as Jest, Playwright, Axe, Wave, GitHub Actions, Dev Containers).
• Excellent communication and collaboration skills.

Bonus

• Familiarity with modern animation and data visualization libraries.

Application Note

Please apply only to the position that best aligns with your qualifications. If you submit multiple applications or have applied within the past 6 months, only your initial submission will be considered.