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

Role

We are looking for a Director of AI Strategy - Engineering Productivity to join our Engineering Operations team. This is a hybrid role based out of our San Jose, CA office (3 days a week in office), reporting to the Senior Director, Technical Program Management, Zero Trust Exchange. In this role, you will define and champion the company's AI strategy for engineering productivity by evaluating, securing, and integrating AI-driven developer tools and CI/CD pipeline enhancements. You will drive widespread engineering efficiency by replacing fragmented team practices with a unified enterprise governance model, measurable business metrics, and a structured budget for AI adoption.

What you’ll do (Role Expectations)

• Define and lead the Enterprise AI Strategy by developing a unified engineering governance model to standardize AI workflows, prompting techniques, and QA frameworks
• Lead the hands-on evaluation, selection, and rollout of AI developer tools while driving consensus to consolidate vendors and manage a dedicated productivity budget
• Architect AI-enhanced CI/CD pipelines by integrating AI agents and advanced automation while establishing business-oriented metrics to measure tangible impact
• Partner cross-functionally with Security and IT teams to ensure all AI tools are deployed safely, addressing data privacy and protecting proprietary codebases
• Exercise cross-functional influence to build consensus around the AI roadmap, moving the company from isolated experimentation into a structured master plan

Who You Are (Success Profile)

• 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. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• 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 driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• Proven experience defining and executing an AI strategy specifically focused on engineering productivity
• Deep technical expertise in modern software development lifecycles (SDLC) with hands-on experience evolving CI/CD pipelines using AI agents
• Demonstrated experience navigating enterprise security protocols and partnering with InfoSec teams to deploy AI models safely within an enterprise environment
• Strong strategic thinking and stakeholder management skills with a proven ability to influence leadership and drive a unified master plan across multiple teams

What Will Make You Stand Out (Preferred Qualifications)

• Strong foundational background in DevOps or Platform Engineering
• Experience establishing business-oriented metrics to measure AI ROI and managing dedicated budgets for engineering productivity tools

#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.

Our team is seeking a talented and versatile Full Stack Software Engineer responsible for building and maintaining essential tools and automations which allow our diverse aerospace engineering teams to be efficient while remaining compliant to external and internal process standards. You'll be working directly with data used to define, test, configure aviation systems and aircraft flight testing, leveraging DevOps best practices.

What You'll Do

Develop Full-Stack Web Applications and Integration Tools: Design, build, and maintain modern Typescript, Javascript and Go applications to assist with testing, data capture, and config management of our aircraft. This work will span web applications, web APIs and desktop environments, initially focused on the management of airplane system test lab configurations.Identify Gaps in Processes and Workflows: Use existing vehicle development knowledge and previous experience to identify new tooling and application needs, as well as optimize or refactor existing toolchains and integrations

• Build for Reliability: Ensure the infrastructure and tooling you create are scalable, reliable, and easy to maintain. Document your work and champion best practices across the engineering organization.
• Collaborate Cross-Functionally: Work closely with hardware engineers, embedded software developers, and integration / lab teams to understand their requirements and build the tools they need to succeed.

Required Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
• 5+ years of professional software development experience, with a strong emphasis on tooling, automation, or DevOps.
• 2+ years of software tool development experience in the Aerospace industry
• Experience with front-end development (e.g. using Typescript / React)
• Experience with back-end development (e.g. using Node Express or Gin)
• Strong ability with relational databases and schema design (e.g using postgres)
• A strong foundation in software development best practices, including version control (Git), code reviews, and testing.

Preferred Qualifications

• Familiarity with GraphQL and GraphQL backend engines (bonus for Hasura)
• Experience with modern React/TypeScript frontend libraries (e.g. Flowbite-React, PrimeReact )
• Proficient in writing and maintaining automated tests using frameworks (e.g. Jest, React Testing Library)
• Demonstrable experience designing, building, and maintaining Tailwind CSS Web Interfaces
• Experience building RESTful APIs
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Knowledge of hardware communication standards like CAN bus, ARINC-429, or RS-422.

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 $173,000 - $216,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

We are an equal-opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and 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.

WHO WE ARE LOOKING FOR:

Our mission is to ensure the Trade Desk engineering team can deliver products to our customers as quickly and efficiently as possible. Our goal is that our engineers within the Trade Desk are happy, efficient, and productive. If you are technical, data-driven and creative, with a deep understanding of the software development (SDLC) process and a day in the life of an enterprise developer, with a passion for building great developer experiences, we would love to talk to you about the open positions on our PM team.

The Trade Desk Product Team hires courageous, passionate PMs who set big goals and execute them. We help you grow and challenge you with hard, meaningful work. We celebrate our successes and learn from our failures together. We value and develop strong leadership, asking our PMs to take on ambitious and often ambiguous projects that promise to extend our lead in the industry.

WHAT YOU WILL BE DOING:

Our teams own the software development life cycle at the Trade Desk – from the first day of a new developer, to the first discussions about a feature, to coding and debugging, through deployment into our global data centers, and all the way to A/B Testing and Experimentation. Our goal is to build tools, frameworks, automation and processes that help our developers focus their time on delivering customer value.

You will be responsible for understanding the needs of our Trade Desk Engineering Team, the tools and processes that they use, the technical governance standards they must meet, and industry trends and best practices. You will be responsible for taking all of that information to define our developer experience (DX) strategy and the roadmap to get there. This includes; refining the local developer environment, how developers checkout, build, and merge code, how developers conduct code reviews, and the stewardship process for cross-team code submissions. You will also be responsible for developing the AI strategy and tools that help engineers be more efficient, innovative, and focus more time on inner development loop activities. You'll work closely with engineering, product, and other key stakeholders to develop the right metrics that drive data-driven decisions and drive execution against the roadmaps you create. This is a strategic role within the Trade Desk Development Platform organization where you will be leading deeply technical projects, AI development strategies, and providing leadership in a complex, fast-paced environment.

WHAT YOU BRING TO THE TABLE:

• 6+ years of direct Product Management enterprise software development experience working with local developer tools and IDE’s, source code repositories, build and merge processes, deployment frameworks and tools, and product / feature releases.

• A deep understanding of the role of AI in the life of a developer including AI IDE plugins and CLI tools, MCP Servers, AI agent frameworks, and how these work to improve the SDLC.

• Demonstrated "working backwards" from internal customers to build long term strategies and solutions.

• A passion for building great developer experiences and a track record of having done so.

• A proven track record of partnering with engineering teams to solve complex, technical problems and delivering large and impactful software projects with measurable business outcomes.

• Excellent communication skills including the confidence to participate in very technical conversations, the ability to drive consensus and commitment, and the ability to crisply communicate delivery timelines, trade-offs and risks to senior management.

• Durability and grit -- sometimes solutions take creative thinking, multiple iterations, and staging while dependencies solidify. You try many different approaches to the right answer.

• Enthusiasm for all things developer, DevOps, emerging technologies, and a desire to keep on top of industry trends

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the Role 

We’re looking for an ML/AI Ops Engineer with 7+ years of experience to own the end-to-end operationalization of our ML/AI solutions, ensuring models move smoothly from development to scalable, reliable production products. In this role, you’ll design and automate CI/CD pipelines, build and optimize model lifecycle workflows, monitor deployed models for performance, drift, and reliability, and integrate intelligence products into various digital tools such as Copilot, Salesforce, and Tableau. You’ll collaborate closely with Data Scientists, Data Engineers, and Data Architects to transform high-quality research models into robust, production-grade products. This is a key role in shaping a modern ML/AI lifecycle—from CI/CD to high governance. 

What You’ll Do 

• Own the end-to-end operationalization of ML and AI solutions—from development to scalable, reliable production systemsthat integrateseamlessly with other digital tools. 
  • Design, automate, and maintain CI/CD pipelines for model training, testing, deployment, and retraining (Azure DevOps, Databricks). 
  • Build, optimize, and version model lifecycle workflows, ensuring reproducibility, lineage, and governance across the ML/AI platform. 
  • Monitor production models for performance, drift, reliability, and resource usage; implement automated retraining workflows. 
  • Optimize compute, storage, and orchestration across the Databricks platform to ensure efficient, cost-effective operations. 
  • Collaborate closely with ML/AI Scientists, Data Engineers, and DWH team to transform research-grade models into production-ready services. 
  • Contribute to advancing our ML/AI platform, tooling, automation standards, and best practices. 

What You’ll Bring 

• Solid experience in operationalizing ML/AI models, including deployment, automation, monitoring, and lifecycle management.
• Strong programming skills in Python,PySpark, and SQL with clean, efficient, production-ready code.
• Experienced in feature engineering with a practical understanding of data engineering fundamentals - designing, validating, and optimizing feature pipelines, and ensuring feature consistency
• Experience in building Vector embeddings & RAG systems.
• Familiarity in ML and LLM models development and libraries used.
• Experience with MLflow (or similar tools) for model tracking, registry management, and lifecycle operations.
• Familiarity with CI/CD pipelines (Azure DevOps preferred)
• Strong grasp of data versioning, model versioning, reproducibility, and data lineage within governed ML/AI environments.
• Experience designing, consuming, or integrating REST APIs to expose ML/AI models as services and support real-time or near-real-time inference.
• Experience monitoring production models, identifying drift or performance issues, and implementing corrective workflows.
• A collaborative, systems-thinking mindset, working closely with ML/AI Scientists, Data Engineers, and Data Warehouse team. 

Bonus Skills 

• Understanding ofdata quality frameworks and how they integrate into ML pipelines.
• Comfort with infrastructure-as-code for provisioning and managing ML/AI platform components. 
• Working knowledge of Unix environments and general DevOps principles; exposure to Docker/Kubernetes is beneficial.
• Experience with real-time or near-real-time serving architectures, event-driven systems, or streaming-based inference.
• Experience with AI agent tools and MCP servers. 
• Strong interest in contributing to internal ML/AI platform evolution, including tooling, automation, standards, and best practices.

What You’ll Get 

• Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
• Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
• Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
• Retirement and social security contributions through Costa Rica’s statutory programs
• Life insurance equal to 24x monthly salary, plus disability and funeral coverage
• Daily cafeteria subsidy
• Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-CC1

About the Role

We are looking for an Analytics Engineer to join our internal Data Management team and help power data-driven decision-making across the organization. In this role, you will design and maintain scalable data models, pipelines, and transformation processes that enable analytics, reporting, and data science initiatives. You will collaborate closely with analysts, data scientists, and engineering teams to ensure reliable, efficient, and well-structured data that supports business insights and strategic initiatives.

What You’ll Do

• Design scalable and reliable data marts and transformation processes that support analytics and reporting needs
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into efficient data solutions
• Develop optimized data models and schemas that enable efficient storage, retrieval, and analysis of large datasets
• Build ETL and ELT pipelines that transform raw data from multiple sources into structured datasets for analytics and reporting
• Partner with data, architecture, and DevOps teams to ensure the scalability, performance, and reliability of data systems
• Monitor data pipelines and systems to troubleshoot issues and identify opportunities for improvement
• Document data architectures, data flows, and processes to support transparency, collaboration, and maintainability

Technologies You’ll Work With

• SQL and relational databases
• Cloud platforms such as Azure, AWS, or GCP
• Programming languages such as Python, Java, or Scala
• Databricks and Spark
• Data warehouse technologies such as Postgres or Vertica
• ETL/ELT frameworks and data transformation tools

What You’ll Bring

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
• Strong proficiency in SQL and experience working with databases and data warehouse systems
• Experience building data pipelines and data processes in a cloud environment such as Azure, AWS, or GCP
• Experience with at least one programming language such as Python, Java, or Scala
• Knowledge of ETL/ELT processes, data modeling, and data warehousing best practices
• Ability to collaborate with cross-functional teams including analysts, engineers, and business stakeholders
• Strong written and verbal English communication skills (B2 level or higher)

Bonus Skills

• Experience working with Databricks and Spark
• Experience with Azure cloud services
• Experience with Postgres or Vertica data warehouse technologies
• Experience working with Salesforce data
• Experience building datasets used in analytics or reporting tools

What You’ll Get

• Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
• Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
• Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
• Retirement and social security contributions through Costa Rica’s statutory programs
• Life insurance equal to 24x monthly salary, plus disability and funeral coverage
• Daily cafeteria subsidy
• Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: The position is based in San Jose, Costa Rica. If the applicant is permanently located outside of Costa Rica, Veeam reserves the right to decline the application. All applications must be submitted in English.

#LI-FT1
#LI-REMOTE

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

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.}

Role 

We are looking for a Principal Product Manager, Cloud Reliability and Cloud Operations to join our Product Management department. This is a hybrid role based in San Jose, CA reporting to Director, Product Management. You will be a hands-on leader responsible for driving reliability and scalability and Cloud Operations initiatives for the ZIA and ZPA cloud platforms. This is a high-visibility role where you will drive critical projects to scale our architecture to 1 trillion transactions and beyond, ensuring our Zero Trust Exchange remains the global leader in cloud security.

What you’ll do (Role Expectations)

• Implement the ZIA/ZPA RAS roadmap by defining problem statements, collecting requirements, and managing critical programs across the cloud lifecycle
• Lead pre- and post-sales customer engagements regarding cloud resilience, building trust through transparent roadmap discussions and RCA reviews
• Monitor ongoing cloud incidents and escalations to identify recurring themes and direct cross-functional teams on comprehensive improvement plans
• Serve as the primary subject matter expert for field teams, providing technical education and support for all RAS-related inquiries
• Collaborate with cloud architects and software engineers to ensure the platform balances rapid growth with extreme stability

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)

• 12+ years of industry experience in Cloud Engineering, SRE, DevOps, or Technical Product Management
• Bachelor’s degree in a technical field or equivalent professional experience
• Deep technical expertise in network security and protocols including proxies, firewalls, TLS, PKI, and HTTP/S
• Proven experience with cloud-native services at hyper-scalers or major SaaS providers
• Comprehensive understanding of cloud architecture and resilience patterns such as clustering, cascading failure prevention, and observability principles

What Will Make You Stand Out (Preferred Qualifications)

• Expertise in translating complex customer needs into actionable product requirements and internal conviction
• Strong data analytics skills with the ability to define hypotheses, analyze large datasets, and communicate results to stakeholders
• Direct hands-on experience with Zscaler products including ZIA, ZPA, or ZDX

#LI-Hybrid 

#LI-CM3

About the Role

As a Senior Product Advisor within the Product Management Alliances team at Veeam, you will be instrumental in shaping our product integration strategy in collaboration with leading hyperscaler platforms such as Microsoft Azure and AWS. In this role, you will function as a strategic technical partner—guiding the convergence of business needs and technical innovation to advance Veeam’s leadership in data management, protection, and resilience.

What You’ll Do

• Lead Cloud Integrations: Architect and implement advanced integrations between Veeam’s products and hyperscaler cloud platforms (AWS, Azure, GCP), delivering customer value through technical innovation and excellence
• Strategic Partner Collaboration: Serve as the primary technical liaison for hyperscaler partners, co-developing integration strategies, architectural frameworks, and best practices for joint solutions
• Cross-Functional Leadership: Collaborate closely with product management and engineering teams across organizations, providing architectural guidance and ensuring partner and customer insights shape product development
• Relationship Management: Cultivate and maintain strong technical relationships with hyperscaler stakeholders, sharing operational expertise and uncovering opportunities for joint innovation
• Technology Evangelism: Champion the adoption of emerging cloud and AI technologies within Veeam’s portfolio, enabling the delivery of next-generation workload protection solutions
• Internal Advisory: Act as a trusted technical advisor to internal teams—including Product Management, R&D, Support, and Sales Engineering—guiding product strategy and solution architecture
• Technical Escalation: Function as the senior escalation point for complex integration scenarios and critical customer engagements, resolving advanced technical challenges and ensuring project success
• Architectural Leadership: Assess and articulate the impact of architectural decisions on scalability, performance, and cost, while setting and advocating for high standards in integration and design

What You’ll Bring

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience
• Strong programming and engineering acumen, with the ability to interpret and analyze data structures, code architectures, and technical documentation
• Proven expertise in designing, architecting, and integrating products and solutions within hyperscaler environments (AWS, Azure, GCP) and complex enterprise software ecosystems
• In-depth knowledge of cloud-based data protection, storage technologies (including object storage), APIs, SaaS architectures, and AI-driven integrations
• Demonstrated success in technical leadership roles, including driving alignment and negotiation across multifaceted partnerships and alliances
• Exceptional communication and interpersonal skills, with a track record of engaging, influencing, and building relationships with diverse internal and external stakeholders
• Experience delivering compelling technical presentations, evangelizing products and solutions at industry events, and serving as a trusted advisor to customers and partners
• Advanced analytical and problem-solving abilities in cloud environments, with a history of resolving complex technical challenges and thoroughly documenting solutions
• Willingness to travel approximately 5–7 weeks per year

Bonus Skills

• Relevant certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect Expert
• Experience with DevOps practices and automation tools
• Background in product management or technical alliances within the cloud ecosystem
• Experience working in a global, cross-functional, or matrixed organization

We are seeking a highly experienced and passionate Sr Staff Site Reliability Engineer (SRE) to join our growing team. In this critical role, you will be responsible for the reliability, scalability, performance, and security of our core systems and services. You will leverage your extensive expertise in various technologies to design, implement, and maintain robust infrastructure and automation solutions.

Responsibilities

• Implement and maintain the infrastructure and pipeline required for an internal LLM-powered chat service, potentially leveraging platforms like OpenRouter or similar alternatives.
• implement and maintain highly available, scalable, and secure cloud-native infrastructure on Amazon Elastic Kubernetes Service (EKS).
• Develop and implement comprehensive observability strategies, including monitoring, logging, and alerting, to ensure the health and performance of our systems.
• Architect and optimize data pipelines to ensure efficient and reliable data flow across various platforms.
• Drive the continuous improvement of our CI/CD pipelines, promoting best practices for automated testing, deployment, and release management.
• Champion cloud-first strategies, leveraging the full capabilities of cloud platforms for infrastructure, services, and operations.
• Implement and enforce robust security practices across our infrastructure, applications, and data.
• Design and maintain Docker-based containerization solutions for our applications.
• Develop and maintain automation scripts and tools using Python, Bash, and PowerShell.
• Collaborate with development teams to ensure reliability is built into the software development lifecycle from inception.
• Troubleshoot complex production issues across various layers of the stack, identifying root causes and implementing preventative measures.
• Participate in on-call rotations to support production systems.

Qualifications

• 3+ years of experience in Site Reliability Engineering, DevOps, or a similar role with a strong focus on operational excellence.
• Deep expertise in Amazon EKS, including cluster provisioning, management, and troubleshooting.
• Extensive experience with observability tools and practices, including Prometheus, Grafana, ELK stack, or similar.
• Proven track record in designing and implementing robust data pipelines (e.g., Kafka, Airflow, Spark).
• Strong background in CI/CD methodologies and tools (e.g., Jenkins, GitLab CI, ArgoCD).
• Expert-level knowledge of cloud platforms (AWS preferred), including infrastructure-as-code principles.
• Comprehensive understanding of security best practices for cloud environments, applications, and data.
• Proficiency in Docker for containerization and orchestration.
• Advanced scripting and programming skills in Python, Bash, and PowerShell.
• Solid understanding of networking concepts, distributed systems, and operating systems.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work independently and as part of a highly collaborative team.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

• Experience with other Kubernetes distributions or cloud providers.
• Familiarity with compliance frameworks (e.g., SOC 2, HIPAA, GDPR).
• Certifications in AWS, Kubernetes, or other relevant technologies.

Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

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 $133,400 - $200,000. 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.

As a Senior DevOps Engineer, you will be a key contributor to our infrastructure strategy, focusing on automation, stability, and performance across both cloud and on-premise environments. You will drive best practices in CI/CD, configuration management, and monitoring, with a specific focus on optimizing the deployment and operation of large language models (LLMs) and related technologies.

Responsibilities

• Design, deploy, and manage highly available, scalable infrastructure using Kubernetes and Docker across public cloud (e.g., AWS, GCP, Azure) and on-premise data centers.
• Develop and maintain robust Configuration Management solutions (e.g., Ansible, Terraform) for consistent environment provisioning and management.
• Implement and manage CI/CD pipelines to facilitate rapid, reliable, and automated software releases.
• Administer and troubleshoot operating systems, encompassing both Linux and Windows environments.
• Implement and optimize observability practices using monitoring tools like Datadog for logging, tracing, and alerting.
• Spearhead the operational deployment, scaling, and maintenance of LLM infrastructure, leveraging tools like LiteLLM, OpenRouter, or similar LLM orchestration/gateway technologies.
• Automate repetitive tasks and system operations using scripting languages, primarily Bash and Python.
• Collaborate closely with development, MLOps, and security teams to ensure infrastructure supports product requirements and compliance standards.
• Participate in an on-call rotation to ensure service reliability and responsiveness to incidents.

Qualifications

Required Skills

• 5+ years of professional experience in a DevOps, SRE, or infrastructure engineering role.
• Deep expertise in containerization and orchestration, specifically Kubernetes (design, deployment, and troubleshooting) and Docker.
• Strong proficiency in managing infrastructure in both Cloud (e.g., AWS, GCP, Azure) and On-Premise environments.
• Expert-level administration skills in Linux and strong working knowledge of Windows Server environments.
• Proven experience with Infrastructure as Code (IaC) and Configuration Management tools (e.g., Terraform, Ansible).
• High proficiency in scripting and automation using Python and Bash.
• Extensive experience with monitoring and observability platforms, especially Datadog (or comparable tools like Prometheus/Grafana, New Relic).
• Hands-on experience deploying and managing technologies related to Large Language Models (LLMs), such as utilizing LiteLLM, OpenRouter, or setting up and managing LLM serving endpoints.

Nice-to-Have Skills

• Experience with specific Kubernetes distributions (e.g., K3s, Rancher, OpenShift).
• Familiarity with network configuration, firewalls, and security best practices for hybrid environments.
• Experience in MLOps workflows and related tools (e.g., MLflow, Kubeflow).
• Certifications such as CKA, CKAD, or relevant cloud provider certifications.

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 $133,400 - $200,000. 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. Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

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.

Archer is looking for a Lab Architect to lead the design, development, and long-term evolution of our eVTOL integrated Lab ecosystem, including Iron Bird platforms, Hardware-in-the-Loop (HIL) environments, and full-system simulation and test infrastructure. This role is a combination of long term vision and hands-on development, building the technical foundations of how our aircraft systems are tested—from early prototyping through FAA certification.

The ideal candidate brings deep experience in building complex aerospace test labs, integrating real-time simulation environments, and guiding multidisciplinary teams through system integration and regulatory processes. In addition, this role will drive next-generation automation and AI-assisted workflows to enhance testing efficiency, and scalability.

What you'll do: 

• Architect the overall integrated lab ecosystem, including Iron Birds, HILs, and multiple system benches.
• Define the lab-wide simulation architecture, integrating aircraft systems and simulation models and associated HW into a cohesive real-time environment.
• Define the physical, electrical, networking, and computational infrastructure for labs
• Lead cross-functional design reviews for new test platforms or updates to existing platforms.
• Improve configuration management  and traceability aligned with certification needs.
• Collaborate with certification authorities during for-credit testing, audits, lab inspections, and test method reviews.
• Create a long-term roadmap to embed AI, ML, and automation into the lab ecosystem, including: automated  test execution, automated data pipelines, and results classification
• Provide technical mentorship and guide architectural decisions across all lab programs.
• Drive CI/CD, and DevOps best practices into labs

What you need:

• Bachelor’s or Master’s in Aerospace Engineering, Electrical Engineering, Systems Engineering, Computer Engineering, or related field.
• 15+ years experience building aerospace test labs.
• Expertise with real-time simulation environments (dSPACE, NI VeriStand).
• Proficiency in C/C++/Python/Matlab/Simulink.
• Proven experience architecting complex test infrastructure (electrical, networking, computing, control interfaces).
• Strong understanding of aircraft system integration.
• Familiarity with FAA certification processes and standards (DO-178C, ARP4754A/4761).
• Demonstrated ability to lead cross-functional design teams and large-scale technical programs.
• Capable of setting long-term technical vision while remaining execution-focused.
• Excellent communication skills with ability to interface with all levels of the organization.

Bonus Qualifications:

• Experience specifically with eVTOL, or hybrid-electric aircraft.
• Background implementing AI/automation in engineering or test environments.
• Experience with Model-Based Design

At Archer, we aim to attract, retain, and motivate talent with the skills and leadership needed to grow our business. We drive a pay-for-performance culture and reward performance that support the Company's strategy. For this position, we are targeting a base pay range of $245,000 - $310,000. Actual compensation offered will be determined by 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.

Staff Site Reliability Engineer 

The Role

We are looking for a Staff Site Reliability Engineer to join our SRE organization as a technical specialist. In this role, you will focus on engineering the "glue" that makes our systems resilient—building custom internal tools, refining our observability stack, and ensuring our SLO/SLI frameworks are technically sound. You will work alongside our existing SRE teams to convert manual operational tasks into automated, programmable infrastructure.

Key Responsibilities

• Standardize SRE Procedures: Design and implement consistent technical procedures for incident response, error budget tracking, and production readiness across our service catalog.
• Engineer SLOs & SLIs: Technically instrument our services to capture precise SLIs. You will be responsible for the backend logic that calculates Error Budgets and triggers automated alerts based on burn rates.
• Build Special Purpose Tooling: Write production-grade code (Go, Python, etc.) to build internal tools that solve specific infrastructure gaps, such as custom Kubernetes operators, automated remediation scripts, or deployment safety gates.
• Executive & Operational Dashboards: Create a unified observability layer. This includes deep-dive Grafana/Datadog dashboards for real-time debugging and high-level, aggregate views for executive stakeholders to monitor SLA compliance.
• Toil Reduction: Identify repetitive operational tasks across the group and build the automation necessary to eliminate them.
• Collaborative Engineering: Work within the SRE group to provide expert-level code reviews for infrastructure changes and contribute to the collective codebase of our internal platforms.

Technical Requirements

• Experience: 8+ years in SRE, Production Engineering, or high-scale DevOps environments.
• Advanced Programming: Strong software engineering fundamentals. You should be as comfortable writing a microservice or a custom API as you are configuring a load balancer.
• Metric Logic: Deep understanding of how to derive meaningful SLIs from complex distributed systems (latency percentiles, success rates, etc.).
• The Stack:
• Orchestration: Expert-level Kubernetes (EKS, GKE, or self-managed).
• IaC: Advanced Terraform or Pulumi.
• Observability: Mastery of the "Three Pillars" (Logs, Metrics, Traces) using tools like Prometheus, Jaeger, or Datadog.
• Communication: Ability to distill complex system health data into clear, actionable reports for both engineers and business leadership.

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 133,400 - 200,000. 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.

"Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements."

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, 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.

What you’ll do:

• Be a Cybersecurity Engineer on a world class team with demonstrated expertise in Cybersecurity of embedded safety critical flight Systems/Software/Hardware complying with RTCA DO-326B/DO-355A/DO-356A/ISO27001/ASTM F3532-22. 
• Participate in the definition and documentation of cybersecurity planning, in particular, security certification planning, definition of the security environment, risk management planning, security verification planning, and continued airworthiness planning.
• Performing of cybersecurity Assessments: Data Flow (including Data and Control Coupling), development of threat conditions and scenarios (based on Aircraft Functional Hazard Assessment) and compilation of Preliminary Security Risk Assessment.
• Support definition of the Security Architecture on Aircraft Level
• Support definition of ground based Security Architecture (e.g. PKI infrastructure) 
• Validation of Layered Security Architecture including Common Mode Analysis
• Validation of Security Controls and assessment of their effectiveness (including corresponding metrics)
• Definition of Security Requirements based on identified and architected security measures (controls)
• Oversight of cybersecurity efforts on system level, including platform software, flight controls, motor control, battery management, displays, communication, navigation, surveillance and others. 
• Verification of Cybersecurity requirements, either through analysis or Blue Team testing  
• Management of Red Team testing efforts
• Implement and maintain cybersecurity documentation, processes, and policies, including supplier cybersecurity audits and assessments.
• Interface with certification authorities to support cybersecurity aspects of certification
• Foster team collaboration, promote and support personal development. 

What you need:

• 10+ years of experience in a related field.
• At least a BS in Cybersecurity, Electrical Engineering, Computer Engineering, Computer Science, or related degree.
• Hands-on experience through the Full Systems/Software Development Life Cycles in a regulated industry

Familiarity with diverse cybersecurity tools (e.g. isograph, CVE database, etc.) and technologies used for the development, testing and analysis of safety critical embedded systems.

• A cybersecurity mindset
• Exceptional organizational and communication skills

Bonus qualifications

• Hands-on DevOps experience
• Hands-on Site Reliability  experience
• Experience with Supplier Management
• Experience with Agile methodologies
• Proficiency with ISO27000 framework
• Experience with AS9100 quality system
• CISSP Certification

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 $180,000-275,000. 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.

We're looking for a Network Systems Engineer to join our team. You will have expertise in Operational Technology (OT) networks and SCADA systems ensuring the design, security, and reliability of our industrial control environments. You will ensure that our OT infrastructure and SCADA platforms are resilient, secure, and integrated with enterprise systems.

You will work onsite at our Devens, MA office, reporting into the Director of Information Technology.

Primary Responsibilities

OT Network and SCADA Systems

• Design, implement, and support secure available OT network architectures that underpin SCADA and industrial control systems

• Install, configure, and troubleshoot SCADA components, including HMIs, data historians, and RTUs

• Ensure communication across industrial protocols such as Modbus, DNP3, OPC, and industrial Ethernet technologies such as Ethernet/IP and PROFINET

• Partner with engineering, operations, and vendors to integrate and improve SCADA systems within the broader network infrastructure

• Implement and maintain cybersecurity controls tailored to OT environments, including segmentation, monitoring, and access management

• Be a subject matter expert on OT and SCADA systems, standards adoption, and continuous improvement

Network Design and Implementation

• Design and deploy resilient and secure network architectures, including segmentation strategies, VLANs, firewall policies, and access controls

• Collaborate with IT and OT partners to define requirements and ensure understanding of industry standards and regulatory frameworks

• Configure and maintain network infrastructure, including industrial and enterprise-grade switches, routers, and firewalls

Data Center and Cloud Infrastructure

• Support data center environments, including VMware, Windows, and Linux systems

• Contribute to cloud infrastructure management across Azure and AWS

• Help design and implement identity and access management solutions across IT and OT systems

• Ensure backup, disaster recovery, and business continuity capabilities

Documentation and Knowledge Sharing

• Develop detailed documentation, including network diagrams, configurations, SOPs, and troubleshooting guides

• Provide training and guidance to IT and engineering teams on OT networking, SCADA systems, and secure data practices

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field

• 8+ years of experience in network engineering, with exposure to OT environments

• Experience designing and implementing OT and enterprise network infrastructure

• Hands-on experience with Fortinet and Cisco networking and security platforms, including FortiGate firewalls, FortiManager, and Cisco switches/routers

• Design and operate segmented OT networks using Fortinet and Cisco solutions, including VPNs, secure remote access, and zero-trust architectures

• Understanding of OT cybersecurity principles, including segmentation, intrusion detection, and secure remote access

• Experience with industrial networking equipment and technologies

• Knowledge of OT security standards and frameworks such as NIST SP 800-82 and IEC 62443

• Experience supporting and troubleshooting SCADA systems in production environments

Preferred Qualifications

• Expertise in OT protocols and SCADA architectures, with the ability to design and improve complex industrial communication systems

• Experience architecting zero-trust or segmented networks across IT and OT domains

• Familiarity with power grid or energy sector control systems

• Experience with DevOps, DevSecOps, or automation in infrastructure environments

• Database and data management experience, concerning industrial data systems

• Relevant certifications such as GICSP or CISSP, or vendor certifications such as CCNP/CCIE or Fortinet NSE

   

Compensation and Benefits | P4 #LI-Onsite

We're looking for a Network Systems Engineer to join our team. You will have expertise in Operational Technology (OT) networks and SCADA systems ensuring the design, security, and reliability of our industrial control environments. You will ensure that our OT infrastructure and SCADA platforms are resilient, secure, and integrated with enterprise systems.

You will work onsite at our San Jose, CA office, reporting into the Director of Information Technology.

Primary Responsibilities

OT Network and SCADA Systems

• Design, implement, and support secure available OT network architectures that underpin SCADA and industrial control systems

• Install, configure, and troubleshoot SCADA components, including HMIs, data historians, and RTUs

• Ensure communication across industrial protocols such as Modbus, DNP3, OPC, and industrial Ethernet technologies such as Ethernet/IP and PROFINET

• Partner with engineering, operations, and vendors to integrate and improve SCADA systems within the broader network infrastructure

• Implement and maintain cybersecurity controls tailored to OT environments, including segmentation, monitoring, and access management

• Be a subject matter expert on OT and SCADA systems, standards adoption, and continuous improvement

Network Design and Implementation

• Design and deploy resilient and secure network architectures, including segmentation strategies, VLANs, firewall policies, and access controls

• Collaborate with IT and OT partners to define requirements and ensure understanding of industry standards and regulatory frameworks

• Configure and maintain network infrastructure, including industrial and enterprise-grade switches, routers, and firewalls

Data Center and Cloud Infrastructure

• Support data center environments, including VMware, Windows, and Linux systems

• Contribute to cloud infrastructure management across Azure and AWS

• Help design and implement identity and access management solutions across IT and OT systems

• Ensure backup, disaster recovery, and business continuity capabilities

Documentation and Knowledge Sharing

• Develop detailed documentation, including network diagrams, configurations, SOPs, and troubleshooting guides

• Provide training and guidance to IT and engineering teams on OT networking, SCADA systems, and secure data practices

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field

• 8+ years of experience in network engineering, with exposure to OT environments

• Experience designing and implementing OT and enterprise network infrastructure

• Hands-on experience with Fortinet and Cisco networking and security platforms, including FortiGate firewalls, FortiManager, and Cisco switches/routers

• Design and operate segmented OT networks using Fortinet and Cisco solutions, including VPNs, secure remote access, and zero-trust architectures

• Understanding of OT cybersecurity principles, including segmentation, intrusion detection, and secure remote access

• Experience with industrial networking equipment and technologies

• Knowledge of OT security standards and frameworks such as NIST SP 800-82 and IEC 62443

• Experience supporting and troubleshooting SCADA systems in production environments

Preferred Qualifications

• Expertise in OT protocols and SCADA architectures, with the ability to design and improve complex industrial communication systems

• Experience architecting zero-trust or segmented networks across IT and OT domains

• Familiarity with power grid or energy sector control systems

• Experience with DevOps, DevSecOps, or automation in infrastructure environments

• Database and data management experience, concerning industrial data systems

• Relevant certifications such as GICSP or CISSP, or vendor certifications such as CCNP/CCIE or Fortinet NSE

   

Compensation and Benefits | P4 #LI-Onsite

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.}

Who are we and why should you join us?

BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy in across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.

As a Senior Database Engineer at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way.

What are we looking for?

We’re looking for a Senior DBE to join our team, our first hire focused solely on database architecture and performance. This person will own the health, performance, and scalability of our databases, and play a critical role in shaping how we manage data across all environments.

You’ll be working alongside DevOps engineers, developers, and leadership to ensure our Aurora MySQL environments are highly available, performant, and ready to scale. If you live and breathe query tuning, love designing resilient schema for massive scale, and want to help teams ship fast without causing chaos, you’ll love it here.

We’re looking for someone who cares and wants to be involved in our product, mission, and success, way beyond just running queries. And of course, at BetterHelp you will enjoy true teamwork and lots of fun!

What will you do?

• Own the architecture, availability, and performance of our Aurora MySQL clusters.
• Design and maintain strategies for obfuscating and replicating production databases to pre-production environments at scale.
• Troubleshoot slow queries, hot tables, lock contention, and other complex performance issues.
• Work with engineers to review, improve, or rewrite inefficient queries generated by Eloquent/Laravel.
• Design schema and data modeling strategies that can evolve without risking downtime.
• Weigh in on foreign key usage and implement sane policies that balance safety with maintainability.
• Monitor and tune backup, restore, and disaster recovery processes.
• Provide guidance on Redis usage and data patterns where applicable.
• Help influence the engineering roadmap, even when it means others need to adapt workflows.
• Participate in on-call rotation for major database incidents.

What technologies will you work with?

• Aurora MySQL
• AWS (RDS, EC2, S3, DMS, etc.)
• Redis (Elasticache)
• Laravel / Eloquent (PHP)
• Percona / CloudWatch / Coralogix for monitoring
• Terraform (infrastructure as code)
• Bash + automation tooling

What will you NOT do?

• You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.
• You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.
• You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
• You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.

Can I work remotely?

Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.

Requirements

• 5+ years of DBA/DBE experience managing production-grade relational databases at large scale.
• Deep MySQL/Aurora internals knowledge, from slow queries to replication lag and everything in between.
• Strong experience with AWS-native database solutions and data tooling.
• Familiarity with Laravel or PHP-based ORM query behavior.
• Experience managing and monitoring databases with tens or hundreds of billions of rows.
• Pragmatic and persuasive communicator who can align teams on technical decisions.
• Strong Bash scripting and automation mindset.
• Bonus: Experience with Redis at scale.

Benefits

• Remote work with regular in-person bonding experiences sponsored by the company
• Competitive compensation 
• Holistic perks program (including free therapy, employee wellness, and more)
• Excellent health, dental, and vision coverage
• 401k benefits with employer matching contribution
• The chance to build something that changes lives – and that people love
• Any piece of hardware or software that will make you happy and productive
• An awesome community of co-workers

The base salary range for this position is $130,000 - $180,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2025. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.

At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.

What we do

Our Lead Senior Staff Software Engineers are end-to-end owners who will participate in all aspects of designing, building, and delivering the foundational experiences that make The Trade Desk platform exceptional for the traders who rely on it every day.

The Desk Fundamentals team sits within the Core Workflows engineering organization and owns the platform UI framework that the rest of our buying-side engineering teams build on top of. Our mission is straightforward but demanding: deliver consistent experiences, logical navigation, and user-friendly page components at platform scale. We own the shared design patterns and frontend frameworks that empower other teams to ship features quickly and reliably. We build and evolve the Portfolio Views that give traders clarity into performance across partners and advertisers. We maintain the Programmatic Table — one of the highest-traffic surfaces on the platform — and we are the team that sets the bar for what quality looks like across The Trade Desk's core product.

At The Trade Desk, we believe that each opportunity to engage with all internal and external stakeholders is unique. This means that based on your interests and background, you will have the opportunity to work on large-scale, distributed systems — for example, coordinating thousands of servers in cloud and physical data centers around the world, petabyte-scale data challenges, advanced data visualizations, and interactive user interfaces, to name a few.

Our system performs every day, 24/7, serving global traffic. It's important that we focus on quality at scale in an agile environment based on collaboration, ownership, and trust. Our software engineering teams fully own their charter to work on long-term roadmaps while enhancing existing features or tools and continuously improving efficiency.

What you’ll do

It's the best of both worlds — you'll get a chance to exercise your technical leadership and build up your people management and leadership skills. Some of the work that you will be doing to help us deliver on our mission includes the following:

Technical leadership

• Actively review designs, code, and architecture across the team's surface area, from the platform framework to the data-rich tables and panels that traders use every day.

• Deliver meaningful, technical, and hands-on contributions to the team's objectives, from architectural decisions on our shared UI framework to concrete pull requests.

• Understand strategic business priorities and communicate with the team on how their work connects to the broader roadmap and company goals.

• Drive the technical direction for how other engineering teams within Core Workflows — and across the broader organization — build on top of the platform framework the Desk Fundamentals team owns.

Project level processes and execution

• Collaborate with the PM team to develop the roadmap and MVP plans, translating complex UX and platform consistency challenges into clearly scoped, executable engineering work.

• Develop execution plans including resources, milestones, and timelines for roadmap initiatives.

• Define and track the business KPIs and user-facing metrics that connect the team's engineering work to meaningful outcomes, ensuring the team understands the impact of what they ship.

• Continuously analyze and optimize team efficiency, removing blockers and ensuring the team ships with quality.

• Establish and deliver on team commitments, and communicate important developments and changes to area leadership and other stakeholders.

• Measure and maintain the quality of the team's contributions, including platform reliability, consistency, and developer experience for the teams building on top of what we own.

People management

• Manage a small team of talented engineers, serving as both their technical leader and their people manager.

• Help team members develop career growth plans and accelerate toward their next level.

• Give regular and effective feedback, and hold weekly 1:1 meetings with direct reports.

• Conduct annual reviews and make compensation recommendations.

• Foster an inclusive, psychologically safe team culture where diverse perspectives are genuinely valued.

Who you are

Our culture is much deeper than just having fun together (though we do that well, too). We take pride in our engineers being trust-builders, generous givers, scrappy problem solvers, and gritty pursuers of excellence. You do not have to meet all the requirements below, but we believe that people who meet most of them will have a higher likelihood of succeeding in this role:

• You have a solid understanding of SDLC (Software Development Life Cycle), DevOps, and agile methodologies.

• You have a solid understanding of cloud computing and the trade-offs of large-scale, distributed web applications.

• You have a solid understanding of design patterns and software architecture, including frontend systems design and component-based architectures.

• You have experience contributing to the professional growth of software engineers, and a proven track record of growing multiple senior engineers and tech leads.

• You have experience providing technical and project leadership of initiatives involving multiple teams, including platform or framework work where your team's decisions directly affect the velocity and quality of teams outside your own.

• You have experience leading and completing projects with a high degree of technical ambiguity.

• You have experience driving major, strategic, company-wide initiatives with significant risk.

• You have experience hiring and conducting interviews.

• You are proficient in one or more of the following programming languages: TypeScript/JavaScript, C#, Java, C, C++, Python, SQL, or Scala.

• You have 13+ years of software development engineering experience.

• You have 1+ years of experience directly managing people.

• You have a Bachelor's/Master's level degree in computer science or a relevant engineering-related field, or equivalent experience. Not everyone has the same level of access to opportunities. What is most important to us is what and how you can contribute, which is why our consideration is not limited by the level of education you have.

• You have additional nice-to-have experience in the following areas: full-stack web development, frontend framework design, data visualization and table-heavy UI systems, distributed systems, microservices, Kubernetes, and AI/LLM integration into production applications.

We are a global team with different backgrounds, experiences, and perspectives. To complement this team, you will welcome ideas that are different from your own and be well-versed in building from common ground to value, seek out, and foster invisible and visible dimensions of diversity.

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked.

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

About the role

Muon Space is leveraging our proprietary constellation of Earth-observation satellites to monitor and address climate change and growing customer needs, and we need a Software Platform Engineer to build the infrastructure that powers all of our engineering teams. As a key member of our Software Platform team, you will design, implement, and maintain the reliable, scalable platform that enables our entire organization to deliver software efficiently and securely. You'll be the force multiplier for our science and engineering teams, empowering them with modern cloud infrastructure and DevOps practices. By creating world-class infrastructure and developer tools, you will directly accelerate our ability to deliver satellite systems and climate solutions.

Responsibilities

• Design and implement infrastructure-as-code using Terraform and Terragrunt across different cloud platforms
• Design and deploy Bazel build infrastructure such as network caches and remote execution clusters to accelerate developer productivity
• Develop cloud cost visibility dashboards and self-serve budgeting tools for engineering teams
• Architect and operate AWS EKS clusters for production workloads
• Implement monitoring and observability solutions using Grafana, Prometheus, and InfluxDB
• Expand a growing private network infrastructure using Cloudflare Zero Trust and AWS transit gateway

Qualifications

• 5+ years of DevOps, SRE, or Platform Engineering experience
• Deep expertise in AWS services (EKS, EC2, VPC, IAM) and Terraform
• Production experience with Kubernetes and container orchestration

Nice-to-have Skills

• Experience with Bazel build systems and remote caching
• GitHub Enterprise and Okta/SSO integration experience
• Experience with Artifactory or similar artifact management systems
• Backstage or similar developer portal platforms
• AWS GovCloud and multi-account AWS organizations
• Experience in aerospace or satellite systems

Salary

The salary range for this role is $184,000 - $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.

Position Overview
Trackonomy is pioneering the next-generation operating system for the connected world, leveraging smart labels, multi-radio IoT devices, agent-based intelligence, and the Sentient AI platform to deliver true end-to-end visibility, automation, control, and remediation across global supply chains. Our vertically integrated solutions transform physical assets into intelligent, communicative objects, addressing mission-critical challenges in logistics, healthcare, cold chain, industrial operations, manufacturing, and beyond.

Inspired by industry-leading transformations in AI-driven development—as highlighted by visionaries including Microsoft CEO Satya Nadella—this role consolidates traditionally siloed functions into a unified Full-Stack Builder position. The Full-Stack Builder assumes comprehensive ownership of features, modules, or customer-facing capabilities within Trackonomy’s platform ecosystem. By harnessing advanced AI tools for code generation, design automation, reasoning, testing, and orchestration, one individual can span product strategy through full implementation and deployment, dramatically accelerating innovation in real-world IoT and AI applications.

This represents a profound evolution from prior specialized roles, collapsing boundaries to enable faster iteration, reduced coordination overhead, and greater individual impact in a high-stakes domain where physical-world connectivity meets enterprise-scale intelligence.

Roles Combined and Relation to Prior Positions
The Full-Stack Builder integrates the following disciplines, which were historically distributed across separate teams:

• Product Management: Previously a dedicated role focused on market needs, prioritization, roadmaps, and metrics definition. Now embedded to ensure tight alignment between vision and execution.
• Program Management / Delivery Coordination: Once handled by program managers overseeing timelines, dependencies, and cross-functional synchronization. Now internalized to support autonomous, rapid delivery cycles.
• UX/UI Design: Traditionally the domain of specialized designers creating wireframes, prototypes, and interaction patterns. AI-assisted tools now enable builders to own intuitive, user-centric interfaces for dashboards, mobile apps, and operational controls.
• Front-End Engineering: Focused on client-side technologies (e.g., responsive web applications, real-time visualizations of asset tracking data). Now part of end-to-end ownership.
• Back-End Engineering: Encompassing APIs, data processing, scalable cloud services, IoT data ingestion, event-driven architectures, and integration with hardware/firmware layers. This remains core but is augmented by AI to handle complexity efficiently.
• AI/ML and Platform Integration: Incorporating agent-based intelligence, predictive analytics, and dynamic workflows—elevating the role to include orchestration of AI-driven features unique to Trackonomy’s Sentient platform.

In contrast to traditional full-stack developers (who focused primarily on coding across front- and back-end), this position expands scope to include strategic product definition, user research, design authority, and program-level execution. It differs from classical product owners or architects by demanding hands-on implementation across the stack, empowered by AI to manage what once required large teams.

Key Responsibilities

• Own end-to-end development of platform features, such as real-time asset visibility dashboards, autonomous remediation workflows, predictive alerting systems, or customer-specific ERP extensions.
• Define product vision, user requirements, success criteria, and prioritization for assigned capabilities, grounded in supply chain and operational realities.
• Conduct rapid prototyping, user validation, and iteration using AI-accelerated design and development tools.
• Architect and implement full-stack solutions, including intuitive front-end interfaces for operational insights, robust back-end services for processing IoT telemetry, secure APIs, data models, and integrations with Trackonomy’s hardware ecosystem.
• Leverage AI agents for code generation, debugging, automated testing, UI prototyping, and reasoning over complex operational scenarios.
• Manage delivery timelines, technical dependencies, risk mitigation, and deployment to production environments with high reliability standards.
• Ensure solutions meet stringent requirements for scalability, security, low-latency real-time processing, and compliance in regulated industries (e.g., healthcare, logistics).
• Collaborate in small, high-velocity pods to deliver customer value rapidly while upholding quality, performance, and innovation standards.
• Contribute to evolving AI-native development practices tailored to Trackonomy’s mission of connecting and intelligentizing the physical world.

Required Background and Qualifications
To succeed in this demanding, multifaceted role, candidates must demonstrate proven versatility across multiple domains, combined with strong AI fluency and domain affinity:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related field (or equivalent demonstrated experience).
• At least 7–10 years of professional experience, with substantial hands-on contributions in at least three of the following: product management, UX/UI design, front-end development, back-end/systems engineering, IoT/platform development, or AI/ML application building.
• Track record of independently owning and shipping complete features, products, or customer solutions from concept through production, with measurable business or operational impact.
• Strong technical proficiency in modern stacks relevant to enterprise IoT and real-time platforms (e.g., TypeScript/JavaScript, React or equivalent frameworks, Node.js/Python/Go, cloud-native services such as AWS/Azure/GCP, databases including time-series and NoSQL, event streaming technologies).
• Practical experience with IoT ecosystems, sensor data processing, real-time analytics, or supply chain/logistics applications is highly desirable.
• Demonstrated mastery of AI-augmented workflows (e.g., GitHub Copilot, agentic tools, LLM-based reasoning, automated testing frameworks) to achieve 5–10x productivity gains.
• Excellent systems thinking and ability to reason across hardware-software boundaries, data flows, user experience, and business outcomes.
• Superior problem-solving, communication, and collaboration skills, with the capacity to articulate complex trade-offs and decisions clearly.

Preferred Qualifications

• Prior experience in supply chain visibility, logistics technology, cold chain monitoring, asset tracking, or enterprise resource planning (ERP) systems.
• Exposure to agent-based AI architectures, edge intelligence, or embedded systems integration.
• Portfolio showcasing end-to-end ownership of shipped IoT/platform features.
• Familiarity with DevOps, CI/CD, scalable microservices, and security best practices in mission-critical environments.

What We Offer
At Trackonomy, this role positions you at the forefront of redefining operational intelligence in the connected world. You will operate as an empowered builder, directing AI capabilities to solve pressing global challenges with unprecedented speed and precision. Join a mission-driven unicorn recognized by the World Economic Forum, where your contributions directly advance end-to-end visibility, autonomous operations, and productivity for enterprises worldwide.

Trackonomy is an equal opportunity employer committed to fostering diversity, equity, and inclusion.

Who are we and why should you join us?

BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.

As an AI Extern at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way.

What are we looking for?

BetterHelp is looking for an AI Extern to help us scale and increase our impact. You will use data to drive insight into the product and business. The ideal candidate would have experience/exposure to analyzing large and complex data sets related to web products. You'll be doing plenty of data wrangling and post-hoc analysis, both to support product improvements, marketing efficiency, and business decisions.

What will you do?

• Language Model Optimization: Engage in the refinement and enhancement of language models, including fine-tuning and retraining to meet specific requirements.
• Cross-Functional Collaboration: Actively collaborate with the product and development teams to conceptualize and design effective machine learning models and algorithms tailored to our products' needs.
• Product Enhancement Partnership: Work closely with product managers, initiating and implementing proactive strategies to elevate the functionality and user experience of our products.
• Data Handling Expertise: Handle extensive text data, demonstrating proficiency in managing, analyzing, and deriving insights from large datasets.
• Coding for Production: Develop and maintain production-ready code, ensuring robustness and efficiency. Collaborate with the DevOps and ML-Ops teams to integrate machine learning models seamlessly into production environments.
• Database Proficiency: Write and optimize SQL queries, showcasing your ability to interact with and manipulate databases effectively.
• Team Dynamics and Impact: Thrive in a team-oriented environment, contributing positively to the team spirit. Enjoy a fun and dynamic work culture while taking pride in developing a world-class product that significantly impacts people's lives

What will you NOT do?

• You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.
• You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.
• You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
• You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.

Can I work remotely?

Yes. We operate on PST and candidates in any time zone are welcome to apply. 

Requirements

• Currently enrolled in or recently graduated from a Master’s or PhD program in a quantitative discipline such as Computer Science/Engineering, Statistics, Mathematics,Operations Research, or Engineering 
• Completed coursework in NLP and LLM
• Deep understanding of neural networks and deep learning and generative AI
• Familiarity with reinforcement learning
• Experience building predictive models and causal inference models
• Familiarity with generative AI
• Experience analyzing large and complex data sets
• Experience using tools like Pytorch (preferably) or Tensorflow
• Excellent communication skills, with the ability to simplify complex topics and communicate technical ideas to non-technical audiences

Bonus (Great to have but not required)

• Experience analyzing two-sided marketplaces
• Experience with B2C, marketplace products
• Experience with BI tools like Tableau and Looker
• Experience with inference models

Benefits

• The chance to build something that changes lives – and that people love
• An awesome community of co-workers
• Meaningful projects: Apply your education to real-world challenges through hands-on, impactful work that is both rigorous and rewarding.
• Growth & development: Expand your skills through mentoring, job shadowing, lunch & learns, and hands-on project work that supports your personal and professional growth.
• Dedicated support: Benefit from a manager and mentor who will provide ongoing guidance and support throughout your internship.

The hourly rate for this position is $50 - $60 per hour.

At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.