We are seeking a highly motivated and experienced Senior FinOps Engineer to join our team. This role is central to managing, optimizing, and forecasting our technology spending across multiple platforms, including major cloud providers, monitoring tools (like Datadog), and emerging technologies such as Large Language Models (LLMs). The ideal candidate will possess a strong blend of financial acumen, cloud engineering expertise, and excellent communication skills to drive cost-conscious decision-making across the organization.

Responsibilities

Financial Management and Optimization

• Monitor, analyze, and report on technology spending across various cost centers, including cloud infrastructure (AWS, Azure, GCP, etc.), Datadog licensing, and usage of LLM APIs/services.
• Develop and maintain detailed monthly financial reports and dashboards for leadership, providing clear insights into spend trends, variances, and optimization opportunities.
• Collaborate with engineering and product teams to implement cost-saving initiatives, such as identifying underutilized resources, negotiating reserved instance commitments, and optimizing service architectures.
• Establish and track key FinOps metrics (e.g., unit cost, utilization rate, efficiency gains) and drive accountability for spending.
• Conduct monthly deep-dive analyses on significant cost drivers, making actionable recommendations for adjustment and optimization.

Tooling, Reporting, and Automation

• Administer and configure FinOps tools and platforms to ensure accurate cost allocation, showback/chargeback mechanisms, and real-time visibility into spending.
• Develop and maintain custom scripts and automation workflows to enforce spending policies and manage resource lifecycles (e.g., auto-shutdown of non-production environments).
• Standardize and streamline reporting processes, leveraging data visualization tools to present complex financial data simply and effectively.

Vendor and Contract Management

• Assist in the evaluation, negotiation, and renewal processes for technology contracts, including cloud enterprise agreements, Datadog licenses, and LLM service subscriptions.
• Work closely with procurement and legal teams to ensure contracts align with business needs and financial objectives, focusing on optimal pricing and usage tiers.
• Monitor vendor performance against contractual agreements and track realization of anticipated savings.

Governance and Education

• Establish and champion FinOps best practices and governance frameworks across engineering and finance teams.
• Develop and deliver training and documentation to educate teams on cost management tools, cloud pricing models, and optimization techniques.
• Act as a central point of contact for all cloud, Datadog, and LLM spending inquiries.

Qualifications

Required Skills and Experience

• 3+ years of experience in a FinOps, Cloud Financial Management, or similar role.
• Deep understanding of major public cloud billing and pricing models (AWS, Azure, or GCP).
• Proven ability to build and maintain comprehensive financial reports and dashboards for executive leadership.
• Experience administering or utilizing cost monitoring and observability tools, with specific knowledge of Datadog usage/licensing preferred.
• Proficiency in data analysis tools (e.g., SQL, Python, Excel) and data visualization platforms (e.g., Tableau, Power BI, Looker).
• Familiarity with contract negotiation principles and vendor management processes.
• Strong communication skills, with the ability to translate technical cost data into clear business terms.

Desired Qualifications

• FinOps Certified Practitioner (FOCP) or FinOps Certified Professional certification.
• Experience managing costs related to machine learning, AI, or LLM services (e.g., OpenAI, Anthropic, or cloud-native LLM services).
• Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) and their role in cost governance.
• Bachelor’s degree in Computer Science, Finance, Business, or a related quantitative field.

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 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 heavy-hitter to build the "Data Backbone" of our company. You will be responsible for the architecture, scaling, and reliability of the infrastructure that powers our Data Engineering and ML teams. Your goal is to provide a seamless, self-service environment where data scientists can go from a JupyterHub notebook to a massive Ray cluster or Trino query without worrying about the underlying hardware.

Responsibilities

• Data Plane Ownership: Architect and manage the lifecycle of high-throughput data tools including Trino, Ray, and JupyterHub on Kubernetes.
• GitOps & Automation: Drive a "zero-manual-touch" philosophy using ArgoCD and Terraform to manage complex, stateful data environments.
• Observability at Scale: Build high-cardinality monitoring systems using VictoriaMetrics and Vector to track pipeline health, data ingestion rates, and system performance.
• ML Lifecycle Support: Maintain and optimize MLflow for model tracking, ensuring it integrates deeply with our compute and storage layers.
• Engineering Sovereignty: As a self-starter, you will identify performance bottlenecks in data processing and proactively implement infrastructure-level optimizations.
• Reliability: Participate in on-call rotations for the data stack, treating "data downtime" with the same urgency as a site outage.

The Technical Toolkit

Qualifications:

• The "Data-Aware" Engineer: You understand that scaling a database or a Ray cluster is different from scaling a stateless API. You know how to handle persistent volumes and data gravity.
• Senior Leadership: You’ve spent time in the trenches. You’ve been on-call for 2:00 AM outages and have built the automation to ensure those outages never happen twice.
• Tooling Polyglot: You don't just use tools; you contribute to them. You are comfortable writing Go or Python to extend Kubernetes Operators or automate data workflows.
• Self-Directed: You thrive in ambiguity. You can take a high-level requirement ("Make Trino faster") and turn it into a multi-week infrastructure roadmap.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

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 $182,400 - $228,000. 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.

Role 

We are looking for a Principal Site Reliability Engineer to join our Infrastructure services and architecture team. This role is hybrid 3 days a week onsite in San Jose, CA, or can be remote reporting to the Senior Manager, Cloud Operations. As a lead engineer, you will leverage deep expertise in IaC/CaC, Linux virtualization, and physical hardware management to drive our infrastructure forward. You will oversee networking services and general software engineering to ensure our systems remain scalable, resilient, and high-performing.

What you’ll do (Role Expectations)

• Mentor junior engineers and lead high-impact infrastructure projects
• Support business operations by responding to alerts and triaging systems to restore mission-critical capabilities
• Ensure the reliability and performance of all customer-facing services
• Design, document, and build technical solutions that align with evolving organizational needs
• Support Agile processes to maintain high velocity and a collaborative environment

Who You Are (Success Profile)

• You possess deep expertise in Kubernetes management and deployment, ensuring containerized environments are optimized and secure.
• You are a champion for Infrastructure/Configuration as Code, maintaining a strict IaC/CaC mindset in every solution you build.
• You operate with a security-first focus, embedding protection and compliance into the foundation of the infrastructure.
• You bring a "go-getter" attitude, proactively identifying problem areas and proposing innovative solutions.
• You are highly proficient in CI/CD pipelines and believe that automated testing is non-negotiable for stable releases.

What We’re Looking for (Minimum Qualifications)

• Expert-level proficiency with Kubernetes
• Deep professional experience with Terraform and Ansible
• Expert-level programming skills in Python or Go
• Hands-on experience with Enterprise Linux distributions such as Rocky, Red Hat, or Alma
• Proven experience using Git within a structured SDLC
• U.S. citizenship due to the nature of the customers assigned to this role

What Will Make You Stand Out (Preferred Qualifications)

• Deep knowledge of Linux Hypervisors, including OpenStack, Proxmox, libvirt, or QEMU
• Technical experience working with FreeBSD
• Familiarity with Identity Access Management tools like HashiCorp Vault, LDAP, or OIDC

#LI-SanJose #LI-Remote #LI-JG1

We are looking for a Staff Escalation Engineer to join our Shared Platform Services team. This is a hybrid role based out of either our San Jose, CA office (3 days a week), reporting to the Sr. Manager, Software Engineering QA. You will be instrumental in taking the Zscaler Client Connector Cloud service to the next level in terms of reliability, availability, and scalability. As part of the team that built the world’s largest cloud security platform, you will bring your vision and passion to enable organizations worldwide to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Own and resolve escalated cloud incidents end-to-end, including impact analysis, debugging, implementing solutions, and communicating with stakeholders

• Collaborate with development, security, and operations to design and implement code/configuration fixes for complex system issues

• Monitor system health, performance, and security via PagerDuty and enhance alerting to meet SLOs

• Build diagnostic tools, dashboards, and documentation to enable faster, more effective incident resolution across the team

• Lead production service ownership and supportability by deploying critical fixes, making key deployment decisions, and responding to high-pressure off-hours events

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 experience along with expert troubleshooting, debugging, and root-cause analysis for complex, high-priority incidents, with experience using CPU/memory profilers to diagnose resource exhaustion

• Strong hands-on skills in Python, Bash, and Java; cloud platforms (GCP, AWS, Azure); and IaC/configuration tools (Terraform, Ansible)

• Ability to write complex MySQL queries and generate business reports

• Experience with authentication protocols such as SAML and OAuth

• Solid networking fundamentals (TCP/IP, UDP, ICMP) and debugging with Postman and packet captures, along with proficiency in monitoring tools like Grafana

What Will Make You Stand Out (Preferred Qualifications)

• Experience developing applications with Java, REST APIs, MySQL, and jQuery

• Bachelor’s degree in Computer Science or Computer Engineering (or related field); MS in CS/CE preferred

#LI-JM1 #LI-Hybrid

Role 

We are looking for a Sr. Staff Production Engineer to join our team. This role is available as a hybrid opportunity 3 days a week in San Jose, CA or as a remote position, reporting to Production Engineering in the Cloud Infrastructure & Operations department. Join Zscaler to be a force multiplier for the reliability of a global platform protecting over 15 million users. 

In this role, you will provide the technical vision and hands-on execution to drive an "automation-first" culture across the company. By maturing our observability and architectural standards, you will directly reduce our Mean Time to Mitigate (MTTM) and shape the scalability of our globally distributed, multi-cloud infrastructure.

What you’ll do (Role Expectations)

• Design and implement highly available, scalable infrastructure across AWS, Azure, GCP, and bare-metal environments
• Drive an "automation-first" culture by writing code (Python/Go) to eliminate manual toil and build self-healing systems
• Implement and maintain sophisticated observability (Prometheus, Grafana, OpenTelemetry), define SLIs/SLOs, and establish error budgets
• Act as a lead Incident Commander (TDO on-call), develop response playbooks, and conduct deep-dive post-incident analyses
• Partner with Engineering and partner teams to conduct operability reviews

Who You Are (Success Profile)

• You act like an owner with a bias for action and integrity.
• You are a pragmatic builder obsessed with creating, iterating, and shipping.
• You champion simplicity by distilling complex problems into clear, actionable plans.
• You are data-driven, valuing evidence over assumptions.
• You think at scale, building solutions and processes built to last a high-growth global organization.

What We’re Looking for (Minimum Qualifications)

• 8+ years of experience managing reliability, scalability, and availability for large-scale production services
• Deep expertise in programming (e.g., Python, Go, or C/C++)
• Strong background in networking protocols, Linux/FreeBSD systems, and distributed architecture
• Experience in high-stakes incident management and participation in a 24/7 on-call rotation
• Proficiency in leveraging ITIL frameworks and incident data to drive service maturity through systematic problem management and technical operability reviews

What Will Make You Stand Out (Preferred Qualifications)

• Extensive experience with public cloud (AWS, Azure, GCP) and Infrastructure-as-Code (Ansible, Terraform)
• Experience with chaos engineering and disaster recovery planning at scale
• Expertise in global routing (BGP) and traffic tunneling (GRE, IPSec) with a deep understanding of L7 proxy architectures (HAProxy), DNS at scale, and OS networking stack internals

#LI-Hybrid

#LI-CM3

Role

We are looking for a Senior Staff Software Development Engineer (Build Engineering) to join our team. This is a hybrid role based in San Jose, CA (3 days a week onsite), reporting to the Director, Software Development Engineering in the ZIA Core Engineering department. 

We are seeking a proactive Senior Staff Software Development Engineer (Build Engineering) to accelerate ZIA's transformation into a modernized, automated CI/CD environment. By taking ownership of critical self-service and automation initiatives, you will help scale a lean infrastructure team to meet high demands and directly elevate the daily productivity and developer experience for several hundred engineers.

What you’ll do (Role Expectations)

• Serve as the Tech Lead to drive all Build pipeline optimizations
• Implement innovative automations to improve developer productivity
• Build a solid framework for CI/CD promotional pipelines

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 problem-solver. You seek out challenges because you are energized by finding solutions, 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 never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.

What We’re Looking for (Minimum Qualifications)

• 8+ years of experience designing and deploying large-scale infrastructure in public clouds (e.g., AWS, GCP) with expert-level proficiency in IaC tools (e.g., Terraform, CloudFormation)
• Expert understanding of the end-to-end SDLC, Linux systems, kernel-level concepts, and complex software compilation and packaging processes
• Proven ability to programmatically build and scale CI/CD pipelines, utilizing strong programming expertise in Go and/or Python, along with tooling like Jenkins, GitLab, or Temporal
• Deep foundational knowledge required to onboard rapidly, understand complex ecosystems, and drive immediate, autonomous contributions

What Will Make You Stand Out (Preferred Qualifications)

• Familiarity with, or a strong desire to learn, the Bazel build system, as well as comfortability using AI-assisted coding tools (e.g., Windsurf, Claude) to accelerate delivery
• Strong hands-on experience on the FreeBSD platform
• Good experience in Hypervisor Platforms like Proxmox, ESXi
• Extensive hands-on experience with microservices architecture

#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.

What You’ll Do:

We are looking for an experienced Data Engineer to specialize in aviation data and analytics, focusing on two critical areas: scalable and efficient processing of flight test data for rapid design iteration and near-real-time analysis of aircraft health data for predictive maintenance. This role is vital for accelerating our aircraft design and improvement processes through efficient, scalable data processing and for ensuring operational reliability and safety through advanced predictive analytics.

In this role, you will be tasked with various aspects of data engineering. In addition to the above, your responsibilities will include but not limited to the following.

• Architect, build, and optimize our data processing systems to ensure reliability, efficiency, and scalability
• Develop and optimize ETL processes, data models, and data architectures for data transformation, structures, metadata, and workload management
• Develop and maintain data models that support analytics, reporting, and custom app development
• Create robust data quality observability, monitoring, testing, and validation frameworks
• Engage actively with analytics teams and business stakeholders to understand their data needs, ensuring the data architecture supports decision-making processes effectively
• Support the integration of data systems with aircraft telemetry, flight testing, and operational systems

What You Need:

• Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Data Analytics, or a related field
• At least 3 years  experience in data or software engineering with background implementing best practices for SQL and programming languages (e.g. Python, Go, Rust)
• Experience designing and managing data warehouse /  lakehouse architectures for high performance and low latency
• Led development of real-time data pipelines using Kafka or related technologies
• Expertise with one or more cloud data platforms (e.g., AWS, GCP, Azure) 
• Deep understanding of data security and quality governance
• Deployed and scaled data workloads using Docker and Kubernetes, with the ability to manage compute resources for high-volume processing 
• Familiarity with ERP systems and how to extract data to build custom tools & applications
• Knowledge of integrating Gen AI into production data workflows 
• Exceptional analytical skills, attention to detail, and the ability to collaborate effectively across multidisciplinary teams
• Clear communication skills that are essential for working across diverse stakeholders

Bonus Qualifications:

• Solid foundation in machine learning and other data science fundamentals
• Familiarity with time series data applications and related technologies
• Experience with Infrastructure as Code (Terraform, CloudFormation)
• Advanced skills in predictive analytics and machine learning models for maintenance and anomaly detection
• Experience in aerospace or a related field, particularly with flight test data analysis and aircraft health monitoring
  
  

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. 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.

Custom Application Question:

In order to comply with U.S. export control laws and regulations, applicants for this position who are non-U.S. nationals (i.e. individuals who are not U.S. Citizens, Permanent Residents, Asylees, Refugees or members of a similar designation) may need to obtain an export-control license to access certain restricted data and/or information. To the best of your knowledge, is there a possibility that you may need to acquire an export-control license? 

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.

Role Overview

As a Senior Staff Backend Engineer on the Platform Core team, you will build the services that power the platform foundation — the Entity Registry, change tracking, typed source system connectors, and the integration infrastructure that every application depends on. This role focuses on Go backend services, PostgreSQL performance, and building durable infrastructure that application teams program against through the Platform SDK.

Responsibilities

• Build and maintain core backend services (Go preferred)
• Build scalable systems that use a range of inter-process communication mechanisms (blackboard, direct, queues, etc.)
• Build common data models from diverse data sources
• Build APIs and SDKs that accelerate application development
• Design and optimize PostgreSQL schemas for performance and evolution
• Define and implement strongly typed reusable APIs (gRPC/protobuf or REST/OpenAPI)
• Develop entity CRUD, search, and traversal capabilities
• Implement change tracking and event propagation patterns (e.g., outbox pattern)
• Optimize database performance (indexing strategy, query planning, connection management)
• Implement middleware for authentication, authorization, rate limiting, and audit logging
• Contribute to observability, reliability, and CI/CD standards
• Collaborate with platform and application teams to validate services in production use cases
• Support AI-assisted workflows by exposing clean, structured APIs suitable for controlled automation
  
  

Required Qualifications

• 10+ years backend engineering experience
• Strong hands-on experience in Go (or equivalent backend experience with willingness to work in Go)
• Deep expertise with relational databases, ideally PostgreSQL, to include:
  • Schema design
  • Performance tuning
  • Indexing strategies
  • Query plan analysis
    
    
• Experience building and operating distributed systems
• Experience defining and implementing typed service contracts
• AWS or other cloud-native infrastructure experience
• Strong understanding of reliability patterns (idempotency, retries, consistency)
• Demonstrated experience defining and developing APIs and SDKs
  
  

Preferred Qualifications

• Experience building typed connectors or integration services against enterprise APIs (OData, REST, SCIM)
• Experience with JSONB modeling or complex relational traversal patterns
• Experience with gRPC and protobuf
• Experience with change data capture (CDC) or event streaming
• Experience implementing policy-as-code authorization (Cerbos, OPA, or similar)
• Kubernetes (EKS) and infrastructure-as-code (Terraform) familiarity
• Experience building services consumed by LLM pipelines or AI-assisted workflows

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 $182,500 - $220,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

About the Role

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

What You’ll Do

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

Technologies we work with

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

What You’ll Bring

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

Bonus Skills

• Familiarity with Veeam Data Platform products 

#LI-AA3

Make your impact within a rapidly growing Fintech Company

The Core Infrastructure Team is responsible for managing all of the infrastructure and databases at BILL. We utilize Foglight, DataDog (for Logging, Metrics, and APM), Splunk, and CloudWatch for real-time alerts. We are strong advocates of Infrastructure as Code, and to achieve this, we utilize Terraform and AWS ECS.

We are looking for a Senior Database Reliability Engineer with deep expertise in Oracle on AWS to join us in supporting and enhancing our mission-critical database systems. As a member of the team, you will collaborate closely with our Systems Engineers and Architects to design, implement, and scale the database engines that power the BILL suite of applications.

This role is not for a traditional "Click-Ops" DBA. We are seeking an automation-first engineer. If you thrive on modernizing enterprise database stacks, writing code to eliminate manual toil, and tackling complex challenges involving large datasets to drive business results, this is the ideal job for you.

Your Role: As a Staff Database Reliability Engineer, you will serve as the Subject Matter Expert responsible for managing, optimizing, and ensuring the stability of our Oracle and cloud-native ecosystems. You will pivot our stack toward full automation, ensuring high availability, disaster recovery, and seamless scaling.

We’d love to chat if you have:

• Deep Oracle Expertise: 6+ years of experience in database engineering with a primary focus on Oracle (19c or later), including strong skills in performance tuning (AWR, ASH, execution plans), security, and access control.
• AWS Experience: 3+ years managing mission-critical Oracle databases on AWS (RDS Custom or EC2).
• Mandatory Automation Skills: Proven proficiency in EITHER Infrastructure as Code using Terraform (writing custom modules, state management) OR advanced scripting/development using Python (boto3, automation frameworks). Candidates must be able to demonstrate code samples.
• Replication Mastery: Advanced experience with Oracle GoldenGate for real-time data integration and migration.
• GitOps Mindset: Experience applying an SDLC approach to infrastructure changes (CI/CD pipelines, GitLab/GitHub).
• Observability: Experience with monitoring and alerting tools like Foglight, DataDog, Splunk, and CloudWatch for real-time performance monitoring and issue resolution.
• Education: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Bonus Points:

• Oracle Certification: Possession of OCP (Oracle Certified Professional) or OCM (Oracle Certified Master) credentials.
• Modern CDC Tools: Familiarity with open-source replication tools like Debezium.
• NoSQL Experience: Hands-on experience with DynamoDB.
• AWS Certification: AWS Certified Database - Specialty.
• IaC Certification: HashiCorp Certified: Terraform Associate.

#LI

Make your impact within a rapidly growing Fintech Company

Join BILL’s Developer Experience (DevX) team and help shape the tools, frameworks, and infrastructure that empower our engineering organization to deliver high-quality products at scale. As a Software Engineer II (P2), you’ll help build and enhance internal platforms, collaborate with talented peers, and drive improvements that directly impact developer productivity and satisfaction. This is an opportunity to deepen your technical skills while making a tangible difference in a dynamic, innovative environment.

Responsibilities:

• Design, develop, and maintain internal tools, libraries, and services that streamline the software development lifecycle for BILL engineers
• Collaborate with cross-functional teams to identify pain points and deliver solutions that improve developer efficiency and code quality
• Participate in code reviews, share technical knowledge, and contribute to a culture of continuous learning and improvement
• Troubleshoot and resolve moderately complex technical issues, leveraging sound judgment to recommend effective solutions
• Document best practices, technical decisions, and usage guidelines to support knowledge sharing across the engineering organization
• Contribute to the evaluation and adoption of new technologies, frameworks, and processes that enhance the developer experience
• Support the onboarding of new engineers by providing guidance on DevX tools and workflows

We’d love to chat if you have:

• 1–3 years of professional software engineering experience
• Experience developing software in a collaborative, team-based environment.
• Proficiency in at least one modern programming language (such as Python, Go, or similar).
• Good understanding of Terraform, AWS-based infrastructure, and modern CI/CD pipelines.
• Experience working in AWS, with hands-on exposure to ECS and/or EKS for deploying and operating services.
• Strong problem-solving skills and the ability to break down complex tasks into manageable components.
• Effective communication skills, with the ability to explain technical concepts to diverse audiences.
• A growth mindset and enthusiasm for learning new technologies and best practices.
• Nice to have: Experience building or maintaining developer experience tooling—such as internal platforms, libraries, CI/CD pipelines, or infrastructure automation—that removes friction for engineers and measurably improves developer productivity and code quality.

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

Make your impact within a rapidly growing Fintech Company

The Core Infrastructure Engineering Team is responsible for managing all of the infrastructure and databases at BILL. We utilize DataDog (for Logging, Metrics, and APM), Splunk, and CloudWatch (through Datadog integration) for real-time alerts via Slack and PagerDuty. We're big supporters of automating our workflows with Infrastructure as Code, and we love using Terraform to make it happen.

We are seeking a Staff Cloud Network Engineer to lead the design and evolution of our AWS network platform. This role is for a hands-on technical leader with deep expertise in AWS networking and infrastructure as code who will set standards, influence architecture, and drive scalable, secure networking solutions across the BILL application ecosystem. You will act as the go to expert for cloud networking, partnering closely with infrastructure, security, and product engineering teams to ensure our network enables performance, reliability, and growth.

We’d love to chat if you have:

Minimum of 7 years of relevant experience in network engineering, with a significant portion of that experience specifically focused on designing, implementing, and managing network infrastructure in AWS or similar cloud environments.

• Proven experience architecting and operating large-scale AWS network environments, including the design and implementation of hub-and-spoke and multi-region topologies using AWS Transit Gateways and AWS Cloud WAN for high availability, scalability, and cost optimization.
  
  
• Hands-on experience designing inter-VPC and inter-account connectivity patterns (e.g., VPC peering, Transit Gateway attachments, Cloud WAN core networks, and routing domains), including segmentation strategies for production, staging, and non-production workloads.
  
  
• Proficiency in Terraform or similar Infrastructure as Code (IaC) tools for automating network configuration, including reusable modules for VPCs, Transit Gateways, Cloud WAN segments, route tables, and security policies.
  
  
• In-depth knowledge of networking protocols, including TCP/IP, BGP, OSPF, VLANs, VPNs, and DNS, with specialized experience managing Amazon Route 53 hosted zones and Cloudflare DNS/CDN configurations, and the ability to apply these in cloud-based architectures (e.g., dynamic routing over Direct Connect or site-to-site VPN integrated with Transit Gateway / Cloud WAN).
  
  
• Strong understanding of network security principles and best practices, including firewalls, IDS/IPS, encryption, access control, and the application of these controls at the VPC, Transit Gateway, and Cloud WAN layers to enforce least-privilege and zero-trust patterns.
  
  
• Experience with network monitoring and performance optimization tools such as CloudWatch, VPC Flow Logs, and AWS Direct Connect, including baselining, capacity planning, and proactive detection of routing and latency issues in large-scale topologies.
  
  
• Ability to collaborate effectively with cross-functional teams, including Systems Engineers, Developers, Security, and Architects, to translate application and business requirements into resilient AWS network architectures.
  
  
• Excellent troubleshooting and problem-solving skills, with a focus on identifying and resolving complex network issues across on-premises, Direct Connect, VPN, Transit Gateway, Cloud WAN, and VPC boundaries.
  
  
• AWS certification(s) such as AWS Certified Solutions Architect – Associate or AWS Certified Advanced Networking – Specialty is preferred.
  
  
• Proven track record of designing and implementing scalable and resilient network solutions in a production environment, including multi-region failover, disaster recovery connectivity patterns, and change-managed rollouts using IaC.
  
  
• Strong communication skills and the ability to articulate network architecture and design decisions to both technical and non-technical stakeholders, including clear documentation of routing policies, segmentation models, and connectivity patterns.

#LI

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

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

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

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

WHAT YOU WILL DO

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

WHAT YOU BRING

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

EXTRA CREDIT

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

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

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

What We Do

• The Omnichannel team at The Trade Desk is pioneering a new approach to digital advertising — one built around telling a coherent story through ads, using the media best suited for each chapter. We work across the full ad tech stack, from identity to measurement to bidding, to deliver unified campaign experiences that span screens, formats, and moments. Our Software Engineers are end-to-end owners who participate in designing, building, and delivering data-focused products for our stakeholders.

What You'll Do

• Design and build systems that orchestrate advertising across channels, ensuring a unified narrative from first impression to conversion.

• Work across team boundaries — partnering with identity, measurement, and bidding teams to integrate their capabilities into cohesive omnichannel solutions.

• Own projects end to end, from early design through production rollout and ongoing operation.

• Translate ambiguous business requirements into concrete technical designs and execution plans.

• Deliver high-quality changes with automated tests, metrics, and monitoring.

• Collaborate with product managers and business stakeholders to define what success looks like and drive toward it.

• Mentor other engineers and contribute to a culture of trust, ownership, and technical excellence.

Who You Are

• You're comfortable owning things end to end — from scoping a problem to shipping and operating the solution.

• You communicate clearly with both technical and non-technical audiences, and you're effective working across teams with competing priorities.

• You thrive in ambiguity. Vague requirements don't slow you down — you translate them into actionable plans and iterate toward the right answer.

• You have 7+ years of software development experience.

• You have strong experience with distributed systems and backend development in a language such as C#, Java, or Python.

• You have a solid understanding of computer science and engineering fundamentals.

• You're comfortable working on an agile, distributed team spanning multiple time zones.

Nice to Have

• Experience with large-scale data processing (Spark, Airflow, Kafka, Flink).

• Familiarity with cloud infrastructure and orchestration tools (Kubernetes, Terraform).

• Experience in ad tech or with real-time bidding systems.

• Exposure to cross-channel measurement or identity resolution.

Senior Site Reliability Engineer I

Location

• San Jose, Costa Rica - Remote

• Summary of role

  Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products.  Work with your global SRE team to optimize operations, increase efficiency in our use of cloud resources and our developer’s time, harden security posture, and increase the feature velocity of our developers.  Work closely with multiple teams on assisted engagements to optimize the operations of their microservices.

  Responsibilities

  • Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement.
  • Participate in defining, evolving, and managing SLOs
  • Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly.
  • Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
  • Facilitate blame-free root cause analysis meetings for incidents to learn and drive improvement.
  • Participate in and continually improve our global IRC (incident response coordination) for all products.
  • Drive root cause identification and issue resolution with the various teams.
  • Work inside a fast-paced iterative environment.

  Required Qualifications and Skills

  • Cloud native application development experience leveraging best practices and design patterns
  • Strong debugging and troubleshooting skills across the entire technology stack
  • Deep understanding of AWS Networking, Compute, Storage, and managed services.
  • Competency with modern CI/CD tooling like Kubernetes, Terraform, Ansible & Jenkins
  • Experience with full life cycle support of services, from creation to production support
  • Versed in Infrastructure as Code practices using technologies like Terraform or AWS CloudFormation
  • Ability to author production-ready code in at least one of the following: Java, Scala, or Go.
  • Experience with Linux systems and at home on the command line
  • Understand and apply modern approaches to cloud-native software security
  • Experienced with agile frameworks, such as Scrum and Kanban, and how to operate within these frameworks to continually deliver value.
  • Flexible and willing to step into new roles and responsibilities
  • Willingness to learn and use Sumo Logic products for solving reliability and security issues
  • Bachelor’s or Master's Degree in Computer Science, Electrical Engineering, or another scientific or technical discipline
  • 6+ years of industry experience.

  Desirable Skills

  • Experience using Sumo Logic products or other observability products for reliability and security
  • Experienced with planet-scale product development
  • Running and operating SaaS products on AWS Cloud with expert-level proficiency
  • Experience with streaming technologies like Kafka, Kafka Streams, or KSQL
  • Expert-level experience in one or more of: Java, Go, Scala, or Python
  • Expert-level experience in one or more of: Terraform, Jenkins, Kubernetes
  • Extensive experience running and tuning JVM workloads at scale

  About Us

  Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.

  Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

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.}

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Site Reliability Engineer I

Location

• San Jose, Costa Rica - Remote

Summary of role

Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products.  Work with your global SRE team to optimize operations, increase efficiency in our use of cloud resources and our developers’ time, harden security posture, and increase the feature velocity of our developers.  Work closely with multiple teams on assisted engagements to optimize the operations of their microservices.

Responsibilities

• Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement.
• Participate in defining, evolving, and managing SLOs
• Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly.
• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
• Facilitate blame-free root cause analysis meetings for incidents to learn and drive improvement.
• Participate in and continually improve our global IRC (incident response coordination) for all products.
• Drive root cause identification and issue resolution across teams.
• Work inside of a fast-paced iterative environment.

Required Qualifications and Skills

• Cloud native application development experience leveraging best practices and design patterns
• Strong debugging and troubleshooting skills across the entire technology stack
• Understanding of AWS Networking, Compute, Storage, and managed services.
• Experience with modern CI/CD tooling like Kubernetes, Terraform, Ansible & Jenkins
• Versed in Infrastructure as Code practices using technologies like Terraform or CloudFormation
• Experience with full life cycle support of services, from creation to production support
• Ability to author production-ready code in at least one of the following: Java, Scala, or Go.
• Experience with Linux systems and at home on the command line
• Understand and apply modern approaches to cloud-native software security
• Experience with agile frameworks, such as Scrum and Kanban, and how to operate within these frameworks to continually deliver value.
• Flexible and willing to step into new roles and responsibilities
• Willingness to learn and use Sumo Logic products for solving reliability and security issues
• Bachelor’s or Master's Degree in Computer Science, Electrical Engineering, or another scientific or technical discipline
• 1+ years of industry experience.

Desirable Skills

• Experience using Sumo Logic products or other observability products for reliability and security
• Experienced with planet-scale product development
• Running and operating SaaS products on AWS Cloud with expert-level proficiency
• Experience with streaming technologies like Kafka, Kafka Streams, or KSQL
• Advanced level experience in one or more of: Java, Go, Scala, or Python
• Advanced level experience in one or more of: Terraform, Jenkins, Kubernetes
• Extensive experience running and tuning JVM workloads at scale

About Us

Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.

Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

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.

About the Team

Our DevOps/SRE team runs an active-active, multi-cloud platform on AWS and GCP to keep business‑critical systems highly available, secure, and fast at internet scale. We focus on reliability and automation, engineering systems that perform under stress and continuously improve. We are engineers who own outcomes end‑to‑end—managing priorities, communicating clearly with technical and non‑technical stakeholders, and delivering impact across the organization. If you thrive on architecting at scale, automating everything you can, and turning complex infrastructure into reliable, well‑documented systems, you’ll feel right at home here.

About the Role

We are seeking a talented and experienced DevOps/SRE (Site Reliability Engineering) Senior Software Engineer to join our dynamic team. The ideal candidate will have a strong background in DevOps practices, cloud infrastructure management, automation, and team leadership skills. If you have a consistent track record of architecting and building large-scale systems; enjoy solving intriguing system challenges at internet-scale; if you are innovative at heart; and have a great balance of skills in learning, organizing, building, and enjoy making an impact, this role might be a great fit for you!

For California Only - The estimated annual salary for this position is between $280,000 - $380,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing  

• You will design, implement and maintain an active-active multi-cloud infrastructure on AWS and GCP supporting business-critical systems ensuring high availability and performance with automation, delivering systems that stays reliable and performs under stress
• Collaborate with your peers through code-reviews, ensuring best practices and aligning on technical standards to deliver consistent, high-quality solutions
• Collaborate with security teams to ensure the integrity and security of infrastructure and applications including implementing security best practices and compliance standards 
• Manage individual project priorities, deadlines, and deliverables by leveraging agile methodologies and maintaining clear communication channels 
• Lead incident response efforts by triaging issues effectively, collaborating closely with cross-functional teams to resolve them promptly and minimize downtime
• Implement effective incident management processes and post-incident reviews  
• Identify performance bottlenecks through detailed monitoring and profiling and optimize system resources by fine tuning configurations, scaling infrastructure and addressing latency issues
• Drive continuous improvement initiatives by automating repetitive tasks, refining workflows and proactively addressing technical debt within the team, while driving enhancements across the organization
• Maintain comprehensive documentation of systems, processes, and procedures while fostering a culture of knowledge sharing and contribute to the collective learning of the team  
• Participate in 24x7 on-call rotation, and be available to work with global teams in the event of critical outages

We’re excited if you have 

• 12+ years of experience in DevOps/SRE roles 
• BS Degree in Computer Science or Equivalent 
• Experience with a number of the following: Kubernetes, Docker, Service Mesh such as Istio, Envoy, Linkerd, Solo & ECS 
• Experience in cloud-focused software development, preferably in Go, Python, or other object-oriented programming languages 
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation 
• Experience with CI/CD automation including Gitlab pipelines and other related tools
• Solid understanding of networking, security, and compliance principles including the intricacies of multi-tenant architecture and secure network configuration in cloud environments
• Strong understanding of distributed systems, microservices architecture, and cloud-native technologies 
• Strong hands-on experience with cloud platforms such as AWS, GCP or Azure 
• Proven track record of implementing scalable, high-performance infrastructure solutions in a fast-paced dynamic environments 
• Demonstrated ability to communicate clearly with both technical and non-technical project stakeholders, with the ability to work effectively in a cross-functional team environment 
• The drive and self-motivation to understand the intricate details of a complex infrastructure environment 
• Certifications in relevant technologies such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or Certified Information Systems Security Professional (CISSP) are preferred 

#LI-DH2

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

Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system.

Responsibilities

• Design, deploy, and maintain Figure's training clusters
• Architect and maintain scalable deep learning frameworks for training on massive robot datasets
• Work together with AI researchers to implement training of new model architectures at a large scale
• Implement distributed training and parallelization strategies to reduce model development cycles
• Implement tooling for data processing, model experimentation, and continuous integration

Requirements

• Strong software engineering fundamentals
• Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
• Experience with Python and PyTorch
• Experience managing HPC clusters for deep neural network training
• Minimum of 4 years of professional, full-time experience building reliable backend systems

Bonus Qualifications

• Experience managing cloud infrastructure (AWS, Azure, GCP)
• Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
• Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
  
  

The US base salary range for this full-time position is between $150,000 - $350,000 annually.

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

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It’s time to build.

Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data infrastructure to the next level. This role is focused on building tools and software components that offload, store, manipulate and provide access to robot data, managing on premise and cloud resources, and providing production support for this infrastructure. The ideal candidate has experience building tools and infrastructure for a large-scale autonomous / deep learning system.

Responsibilities

• Design, build, and maintain tools and software components that offload, store, manipulate and provide access to robot data
• Architect and manage storage and compute resources across on-premise and cloud environments at a massive scale.
• Implement optimal data transmission and storage solutions for all stages of Figure’s data pipeline from recording to neural network training
• Work together with AI researchers to support new kinds of data workflows

Requirements

• Strong software engineering fundamentals
• Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
• Minimum of 4 years of professional, full-time experience building reliable backend systems
• Experience with Linux and command line tools
• Experience with Python
• Experience using and managing data stores (Postgres, MySQL, ElasticSearch, Redis, etc.).

Bonus Qualifications

• Experience managing cloud infrastructure (AWS, Azure, GCP)
• Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
• Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
• Experience building data annotation and dataset management tools.
  
  

The US base salary range for this full-time position is between $150,000 - $350,000 annually.

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

About the role

Muon 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.

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in Sunnyvale, CA and require 5 days/week in-office collaboration. It’s time to build.

We are looking for a Software Engineer passionate about developer productivity, automation and continuous improvement, to accelerate the development of the first humanoid robot that will be manufactured and deployed at scale.

Responsibilities:

• Develop tools and infrastructure to scale continuous software integration and deployment systems.
• Optimize build times, and help scale the execution of automated tests and analysis.
• Integrate new build toolchains and software components to support the next generations of humanoids.
• Improve tooling and processes to integrate third-party repositories.
• Provide developers with an easy-to-set-up development environment aimed at accelerating software development.
• Collaborate with all engineering teams to prioritize feature development, optimizations, and reliability improvements.

Requirements: 

• Bachelor’s or Master’s degree in Computer Science or a related field.
• At least 7 years of industry experience.
• Mastery of configuration management using Git.
• Expertise with C++ and Python build and software integration tools (Bazel, CMake, Make, etc.).
• Proficient with scripting languages, including Python and Bash.
• Experience with one or more major cloud providers.
• Comfortable working with a broad range of continuous integration tools (GitHub, Jenkins, TeamCity, etc.) and deployment tools (Ansible, etc.).
• Experience with infrastructure as code (e.g., Terraform).
• Strong knowledge of Linux, Docker, and microservices architectures.
• Excellent verbal and written communication skills.
• Familiarity with Agile and test-driven development principles.

Bonus Qualifications: 

• Familiar with web development languages and tools (HTML, CSS, JavaScripts…)
• Deep understanding of key and certificate management as well as cryptographic signing and verification.

The Role

As a Senior Full Stack Engineer, you will be a key leader across the entire software development lifecycle, from conceptual design to deployment and monitoring. You will be responsible for building robust, scalable backend services using Python and AWS Serverless technologies (Lambda, DynamoDB, SQS, EventBridge), developing event-sourced systems that provide complete state history and auditability.

A critical component of this role is a demonstrated fluency with modern AI/ML development tools (e.g., GitHub Copilot, Claude Code, agentic coding tools, large language models). We are looking for candidates who not only use these tools daily but can articulate a clear, thoughtful perspective on their limitations, security implications, and the strategic opportunities they create for the engineering profession.

Key Responsibilities

• Lead the design and implementation of highly scalable, cost-efficient serverless backend services using Python and AWS (Lambda, API Gateway, DynamoDB, SQS, EventBridge).
• Architect and build event-sourced systems and event-driven pipelines, ensuring reliable message processing, idempotency, and eventual consistency across distributed services.
• Collaborate with product managers and designers to translate requirements into technical designs and shippable code.
• Implement best practices for security, logging, monitoring, and infrastructure-as-code (e.g., Terraform or CloudFormation).
• Perform rigorous code reviews, mentor junior and mid-level engineers, and drive technical excellence across the team.
• Actively research, propose, and integrate new technologies and patterns, with a focus on optimizing development velocity and system performance.
• Clearly articulate a professional point of view on how to effectively, securely, and ethically integrate AI tools into the software development lifecycle.

Qualifications

Required

• 5+ years of professional experience in full-stack software development.
• Expert-level proficiency in Python for backend development.
• Strong working proficiency with Node.js.
• Deep practical experience designing, deploying, and maintaining applications using serverless architectures (preferably AWS Lambda, API Gateway, and managed services).
• Hands-on experience with DynamoDB, including single-table design patterns, GSI/LSI strategies, and performance optimization at scale.
• Solid understanding of event sourcing and event-driven architecture patterns, including experience with message brokers or streaming services (e.g., SQS, SNS, EventBridge, or Kinesis).
• Experience with CI/CD pipelines, automated testing, and Infrastructure-as-Code.
• Demonstrated Fluency in AI-Assisted Development: Candidates must be able to demonstrate practical, hands-on experience using AI-powered coding tools to achieve specific, quantifiable productivity gains, while also clearly understanding and mitigating the associated risks (e.g., code quality, security, IP concerns).

Nice to Have

• Experience with advanced AWS services (e.g., Kinesis, SageMaker, Step Functions).
• Familiarity with TypeScript for robust front-end or Node.js development.
• Proficiency with a modern front-end framework (e.g., React, Vue, or Angular).
• Experience working in a regulated or compliance-focused environment.
• A Bachelor’s or Master’s degree in Computer Science or a related technical field.

AI and the Evolution of Software Engineering & Ops

All candidates must be prepared to discuss and demonstrate the following during the interview process:

• Practical AI Tool Usage: Specific examples of AI tools used in professional or personal projects to enhance productivity, solve complex problems, or accelerate development. If you have a preferred agentic tool setup, please share!
• Understanding of AI Limitations: A clear understanding and articulation of the current technical, ethical, and accuracy limitations of modern AI tools in the engineering context.
• Strategic AI Opportunity: A viewpoint on how AI tools create new opportunities for software engineering, such as shifting focus from boilerplate code to complex problem-solving or architectural design.
• Evolution of the Engineering Role: A well-articulated point of view on how your role has already changed (e.g., new workflows, skills, ways of collaborating) due to the introduction of AI and how you expect the role to evolve in the coming years based on your assessment of coming advancements in AI tools and technologies.

Application Process

To apply, please submit your resume and a cover letter. Your cover letter should be informed by the “AI and Forward-Looking Requirements” section above.

The hiring process includes:

• Initial screening email
• A Technical Assessment Interview
• A Panel Interview

Salary Range $140,000 - $175,000

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

We are looking for a Site Reliability Engineer to own our internal systems infrastructure. This role is responsible for setting up and managing cloud and on-prem infrastructure to deliver highly available, reliable, and automated systems.

Responsibilities:

• Be the go to person for mission critical infrastructure enabling critical operations such as Source Configuration Management, CI/CD systems, software distribution, supplier portals, manufacturing and more.
• Migrate SaaS to self-hosted solutions to enhance security and reliability.
• Implement monitoring and alerting systems, and define incident response plans and runbooks.
• Reduce human workload through automation to automate deployment and scaling.
• Establish strong relationships with stakeholders to identify infrastructure needs and establish Service Level Objectives.
• Use a data driven approach to demonstrate service robustness and track optimization work.
• Partner with the security team to ensure that security remediations and updates are applied in a timely manner.

Requirements:

• Strong experience with Linux/Unix systems administration
• Proficiency in programming/scripting
• Extensive experience with cloud platforms (Azure, AWS, GCP) and on-prem hardware architectures
• Experience designing, deploying, and operating high-availability, fault-tolerant, and distributed systems.
• Mastery of infrastructure as code (Terraform, CloudFormation, Ansible…)
• Familiarity with monitoring, logging, and alerting tools (Prometheus, Grafana, Datadog…)
• Solid understanding of networking fundamentals (TCP/IP, DNS, HTTP, load balancers, firewalls)
• Experience defining Service Level Objectives (SLO), developing runbooks/incident response plans, facilitating post-mortems and managing systems assets.
• Ability to work in cross-functional teams with developers, infra, and product teams
• Excellent verbal and written  communication skills

The US base salary range for this full-time position is between $175,000 - $250,000 annually.

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