Role 

We are looking for a Staff Site Reliability Engineer to join our Cloud Infrastructure & Operations team in our San Jose, CA HQ Office. This is a hybrid role reporting to the Chief Architect, REIS. You are an SRE with proven experience in Linux/UNIX System Administration and hands-on expertise in building infrastructure and managing platforms like Kubernetes using automation tools and high security standards. In this role, you will troubleshoot complex Linux networking and security issues, apply a strong understanding of firewall technologies, and manage access across various systems, platforms, and applications.

What you’ll do (Role Expectations)

• Create and maintain highly scalable solutions based on KVM Linux, Kubernetes, and Public Cloud Providers
• Analyze and troubleshoot systems performance and complex issues across operating systems and applications
• Maintain platform security and observability through nftables and comprehensive monitoring
• Manage and deploy systems and software in diverse environments, including Kubernetes and Openstack
• Write and maintain custom tools using Python, Golang, and BASH

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing a dynamic environment as the raw material to build something meaningful.
• You are a problem-solver who seeks out challenges because you are energized by finding solutions that deliver the biggest impact.
• You operate with urgency and maintain a relentless focus on execution, understanding that speed and quality are not mutually exclusive in a high-growth environment.
• You are driven by innovation and a deep curiosity for how things work, always looking for a better, more secure, and scalable way to accelerate transformation.
• You lead with integrity and hold yourself to a high standard of accountability, building trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• Strong understanding of web security, protocols, and SSH
• Technical security aptitude including PGP, SSH, PKI, and Multi-factor authentication
• Mastery of network fundamentals including DHCP, ARP, subnetting, routing, NAT, firewalls, and IPv4/IPv6
• Experience in container orchestration services including Docker and Kubernetes, alongside automation tools like Ansible
• 5+ years of experience in a Linux/UNIX System Administration or SysAdmin role

What Will Make You Stand Out (Preferred Qualifications)

• Strong Openstack and CEPH experience paired with advanced Kubernetes expertise
• Extensive professional history in dedicated Linux System Administration roles
• Direct experience with Secrets Management Systems such as Hashicorp Vault or similar technologies

#LI-Hybrid 

#LI-CM3

Role

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

What you’ll do (Role Expectations)

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

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback, knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

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

What Will Make You Stand Out (Preferred Qualifications)

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

#LI-Hybrid #LI-KM9

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.

About the Role

We are seeking a highly skilled and hands‑on Software AI Ops & Tools Lead to drive the development, integration, and optimization of advanced software systems that power our next‑generation eVTOL aircraft. This role sits at the intersection of AI, autonomy, infrastructure, and engineering operations—playing a critical part in shaping the future of urban air mobility.

As a technical leader, you will architect and implement scalable tools, platforms, and workflows that enable our engineering teams to build, test, and deploy intelligent, safety‑critical software. You will work closely with cross‑functional partners across Autonomy, Machine Learning, Flight Software, Infrastructure, and Systems Engineering to ensure our AI‑driven capabilities are robust, reliable, and production‑ready.

This is a hands‑on leadership position for someone who thrives in fast‑paced environments, enjoys solving complex technical challenges, and wants to make a direct impact on the future of aviation.

Key Responsibilities

Leadership & Strategy

• Lead the vision, roadmap, and execution for AI‑driven software tools, infrastructure, and operational workflows.
• Provide hands‑on technical leadership while mentoring and developing a high‑performing engineering team.
• Partner with Autonomy, ML, Software, and Infrastructure teams to define requirements and deliver scalable solutions.
• Drive best practices in software development, testing, deployment, and monitoring for AI‑enabled systems.

AI, Machine Learning & Autonomy Integration

• Build and maintain tools and pipelines that support AI/ML model development, simulation, validation, and deployment.
• Develop systems that integrate AI and autonomy algorithms into flight‑critical and mission‑critical software stacks.
• Ensure reliability, traceability, and performance of AI/ML components across the full lifecycle—from research to production.

Software Infrastructure & Operations

• Design and implement scalable infrastructure for data processing, model training, simulation, and continuous integration.
• Develop internal tools that improve developer productivity, system observability, and operational efficiency.
• Own the end‑to‑end software operations ecosystem, including build systems, testing frameworks, and deployment pipelines.
• Ensure compliance with aviation‑grade safety, reliability, and certification requirements.

Cross‑Functional Collaboration

• Work closely with hardware, systems, and flight test teams to ensure seamless integration of AI‑enabled software.
• Collaborate with leadership to align technical decisions with company‑wide goals and aircraft development milestones.
• Communicate complex technical concepts clearly to both technical and non‑technical stakeholders.

Qualifications

• 10+ years of experience in software engineering, with significant experience in AI/ML, autonomy, or robotics.
• Proven track record in hands‑on technical leadership roles.
• Deep expertise in building tools, platforms, and infrastructure for AI/ML development and deployment.
• Strong understanding of distributed systems, cloud infrastructure, CI/CD, and developer tooling.
• Experience integrating AI/ML algorithms into real‑time or safety‑critical systems is highly preferred.
• Background in robotics, autonomy, aerospace, or related fields is a strong plus.
• Passion for advancing the future of aviation and autonomous flight.

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. 

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 $200,000 - $250,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience. Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodations 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

We are seeking a deeply technical, hands-on Principal Platform Architect and Tech Lead to serve as the technical authority for the Enterprise OS team. This high-leverage role is centered on building a foundational platform layer that sits above core enterprise systems (e.g., SAP S/4HANA, Workday, Google Workspace, Okta).

You will help establish foundational platform capabilities that streamline the development of secure, reliable applications atop unified enterprise data. This is a deeply technical, high-leverage role. You will not only design and build core services but also lead the engineering team in execution, set rigorous platform standards, and own the technical roadmap.

Key Responsibilities

• Technical Leadership: Act as the Tech Lead for the platform team. Drive technical decisions, manage architectural trade-offs, and ensure the team adheres to high engineering standards through rigorous design and code reviews.
• Platform Design Ownership: Define the canonical entity model, design the connector interface for typed Go services across source systems, and own the Platform SDK used by application teams.
• Core Service Development: Lead the development of services enabling policy-controlled access, traceability, and automation, including AI-assisted workflows with robust guardrails.
• Execution & Validation: Translate the platform vision into actionable engineering milestones. Your designs will be rapidly validated through production applications.

Responsibilities

• Define canonical entity models that normalize data across multiple enterprise systems (e.g., finance, supply chain, HR)
• Demonstrated ability to lead engineering teams through the full SDLC of complex platform products.
• Design and implement core backend services (Go preferred, Java experience also valued)
• Define strongly typed API contracts and versioning standards using protobuf, with the Platform SDK as the single interface applications build against
• Design a portable data architecture using PostgreSQL, including schema evolution and performance strategy
• Establish scalable connector/integration patterns for ingesting, enriching, and serving enterprise entities
• Build a policy-based authorization approach (RBAC with attribute-aware controls) with entity-level access control and data masking where needed
• Define event propagation patterns (e.g., outbox pattern) and a clear path to CDC/event streaming as the platform matures
• Establish auditability, traceability, and observability standards for platform services
• Enable AI-assisted workflows safely (e.g., classification/summarization/suggested actions) with strict access boundaries and full audit logs
• Mentor engineers and collaborate with application teams to validate the platform through real production use cases
  
  

Qualifications

• 15+ years building distributed systems, backend platforms, or internal developer platforms
• Strong hands-on backend engineering experience  (Go preferred)
• Deep expertise in relational databases, ideally PostgreSQL (schema design, indexing, performance tuning, migrations)
• Experience designing canonical data models across heterogeneous systems
• Experience defining durable API contracts and operating them over time (versioning, compatibility, reliability)
• Experience implementing secure authorization patterns (RBAC and fine-grained access controls)
• Experience designing event-driven systems and reliability patterns (idempotency, retries, consistency)
• Cloud-native experience (AWS/GCP preferred) and comfort working across infrastructure/application boundaries
• Demonstrated ability to ship production systems used by other teams

Preferred:

• Experience with typed contracts
• Experience with policy-as-code authorization (e.g., OPA/Cerbos or similar)
• Experience integrating enterprise identity providers (OIDC/SAML; Okta is a plus)
• Experience building internal SDKs/frameworks used by multiple teams
• Experience incorporating AI/LLM capabilities into production systems with strong governance (access boundaries, prompt-safety patterns, human-in-the-loop controls)
• Experience integrating with ERP/HR systems (SAP, Workday, etc.)
• Experience with enterprise data integration patterns: multi-table source joins, delta sync strategies, field-level provenance, canonical model design

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 219,000 - 265,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

The Principal Solution Architect – Supply Chain Systems will lead the end-to-end architecture, roadmap, and solution design for Supply Chain and Logistics functions across the enterprise. This role ensures scalable, integrated, and efficient system landscapes leveraging SAP S/4HANA core capabilities and extending through planning, procurement, logistics, and supplier collaboration platforms (e.g., Ariba, IBP, Palantir, and BTP-based solutions).You will partner with business and technology leaders to shape the digital supply chain strategy that supports enterprise growth, operational maturity, and innovation.

Key Responsibilities

1. Architecture and Strategy

• Own the Supply Chain architecture vision and roadmap across Procurement, Planning, Logistics, and Supplier Collaboration.
• Define scalable and standardized SAP S/4HANA designs (MM, SD, EWM, PP, TM, GTS, and Ariba integration).
• Evaluate and rationalize existing processes; drive standardization and simplification aligned to enterprise goals.
• Lead design governance through the Architecture Review Board ensuring cross-functional alignment.
• Partner with Enterprise Architecture to connect supply chain roadmaps with Manufacturing, Finance, and Quality domains.

2. Solution Delivery and Design Leadership

• Lead end-to-end design for supply chain initiatives — from concept to go-live — ensuring seamless data flow across sourcing, procurement, inventory, logistics, and finance.
• Translate business needs into system capabilities leveraging SAP best practices (S/4HANA Public/Private Cloud).
• Oversee integration architecture between SAP and non-SAP systems (IBP, Palantir, BTP, Workato, Mendix).
• Collaborate with business SMEs to document “as-is” and “to-be” process flows and establish future-state capability models.
• Ensure compliance with SOX, trade, and audit controls in supply chain processes.

3. Process Transformation

• Partner with Operations, Planning, and Procurement teams to identify process gaps and lead continuous improvement initiatives.
• Introduce automation, AI/ML-enabled demand forecasting, and supplier collaboration enhancements.
• Drive data governance and master data integrity across Material Master, Supplier Master, and transactional data.

4. Governance and Leadership

• Act as a key member of IT leadership, driving supply chain transformation programs and stakeholder alignment.
• Provide guidance and mentorship to analysts, developers, and partner teams working within the supply chain domain.
• Define architectural standards, integration models, and reusability frameworks across projects.
• Collaborate with the Production Support team to ensure solutions are maintainable post-implementation.

Qualifications

• Education: Bachelor’s degree in Supply Chain, Engineering, Computer Science, or related field; Master’s preferred.
• Experience:
  
• 15+ years in end-to-end supply chain process and system transformation.
• Deep functional expertise in SAP S/4HANA modules: MM, SD, PP, EWM, TM, GTS, and Ariba.
• Proven experience with IBP (Integrated Business Planning) or equivalent advanced planning tools.
• Understanding of SAP BTP, APIs, and integration frameworks for connecting SAP and non-SAP systems.
• Hands-on experience in greenfield and brownfield SAP implementations.
• Prior exposure to manufacturing, aerospace, or automotive supply chains preferred.
  
  
• Skills:
  
• Strong understanding of data architecture, analytics integration, and control frameworks.
• Excellent stakeholder management, communication, and cross-functional leadership.
• Ability to translate business strategy into executable technology roadmaps.

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 $190,000 - $245,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

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

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

As an Astera Labs Physical Design/CAD Engineer you will play a crucial role in driving the planning, coordination, and execution supporting the design of Astera Labs' portfolio of connectivity ASICs used in the world's leading cloud service providers, server and network OEMs. This role requires RTL to GDS ownership across design stages (Synthesis/PnR/STA/Signoff), deep technical expertise, and close collaboration with RTL and verification teams to ensure robust full-chip signoff. This role is fully on-site and in-person.

Key Responsibilities

• As Physical Design CAD Engineer you will support and build flows for world class EDA tools.
• Drive various Physical Design flow related activities, ensuring robust signoff across complex SoCs or sub-systems.
• Architect and recommend flow improvements and enhance existing methodology for high performance design.
• Good understanding of flow development related to backend tools like Synthesis/PnR/Extraction/DRC/LVS etc.
• Work with cross function teams to define requirements and specifications to achieve best PPA
• Opportunity to own a small block partition and closure (PnR, STA, DRC and LVS etc) based on interest and capacity
• Partner closely with design, implementation, and verification teams to drive block/top convergence, providing sign-off level expertise and guidance.

Basic Qualifications

• Bachelor’s in Electrical Engineering or Computer Science required; Master’s preferred.
• 2-10 years of experience in PnR and sign-off for complex SoCs in Server, Storage, or Networking applications.
• Expertise in PnR, Extraction, Timing closure, EM-IR, Formality and DRC/LVS at both block and full-chip level.
• Strong knowledge of synthesis, place-and-route, extraction, and equivalence checking flows in advanced nodes (7nm or below).
• Proficiency with Cadence and/or Synopsys physical design/STA toolchains.
• Strong scripting ability (Tcl, Python, Perl).
• Ability to work independently with strong prioritization and a professional, customer-focused mindset.

Preferred Experience

• Knowledge of agentic AI solutions is a plus.
• Experience working with EDA/IP vendors for both RTL and hard-macro integration.
• Familiarity with high-speed SERDES and Ethernet PHY timing challenges.
• Knowledge of ECO methodologies, DFT tools, and test coverage analysis.

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

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

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

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

WHAT YOU WILL DO

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

WHAT YOU BRING

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

EXTRA CREDIT

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

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

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

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and requires 5 days/week in-office collaboration.

We are seeking a motivated Mid-Level Full-Stack Engineer to own the end-to-end lifecycle of our robot fleet telemetry, data management, and visualization tools. This role bridges the gap between raw hardware signals and actionable human-centric insights. You will design and maintain the data pipelines that process high-volume fleet telemetry while building the front-end interfaces that power fleet health monitoring, regression detection, and executive reporting.

Responsibilities: 

• Data Pipeline Engineering: Design, implement, and maintain scalable data pipelines to process high-volume fleet telemetry and subassembly data into analytics-ready datasets.
• Full-Stack Development: Architect, design, and deploy tools for robot configuration, diagnosis, calibration, and user interaction.
• Data Visualization: Develop and maintain curated datasets and frameworks powering dashboards, regression monitoring tools, and fleet-level KPIs.
• API & Framework Design: Build scalable, well-documented APIs to support mission-critical operations and self-service analytics.
• Data Governance: Establish and enforce data quality standards, schema governance, and tagging conventions to ensure long-term maintainability of the telemetry layer.
• Cross-Functional Collaboration: Partner with Robotics, Middleware, and Operations teams to translate operational needs into structured data models and visualization requirements.
• System Analysis: Support raw-signal investigations and serve as a primary data owner during incident investigations to enable cross-subsystem root-cause analysis.

Requirements: 

• Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Robotics, or a related field.
• Experience: 3+ years of industry experience in software development or designing telemetry/analytics platforms.
• Front-End Expertise: Proficiency in JavaScript/TypeScript, HTML5/CSS, React, and Next.js.
• Back-End & Data: Strong proficiency in Python and SQL; experience building cloud-based data pipelines (e.g., AWS S3, Glue, Redshift).
• Infrastructure: Experience with Docker for containerization and deployment.
• Systems Interest: A strong interest in working on software systems that interact with real hardware.
• Communication: Exceptional verbal and written communication skills with the ability to partner with both engineering and business stakeholders.

Bonus Qualifications: 

• Platform Experience: Direct experience using Databricks for data engineering, Spark processing, or analytics.
• Robotics: Prior experience with robotics, autonomous systems, or hardware-in-the-loop telemetry.
• Advanced Analytics: Experience supporting anomaly detection or ML-based telemetry analysis pipelines.
• Distributed Systems: Experience with distributed data processing tools such as PySpark.
• Custom Systems: Prior experience working with custom hardware/software integrations.

The US base salary range for this full-time position is between $150,000 - $240,000 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. 

Role 

We are looking for a Software Engineer (Reliability) to join our team in San Jose, CA, reporting to the Vice President of Engineering. This is a hybrid role three days a week onsite within the Service Platform Automation department.

You will build and operate the orchestration and reliability automation that manages ZIA’s fleet lifecycle at massive scale. This is a high-ownership role: you will design and implement orchestration workflows and the supporting services needed for safe, deterministic, idempotent fleet operations—while helping the team evolve toward AI-first execution and operations.

What you’ll do (Role Expectations)

• Replace legacy Python/Ansible with a centralized, deterministic orchestration platform, refactoring automation into modular, well-defined workflows while retiring external dependencies and nested logic

• Engineer execution patterns with retries, idempotency, rate limits/backpressure, and safe rollbacks/compensation designs aligned to global fleet capacity

• Implement safe rollouts using segmentation, canaries, and automated health checks to limit blast radius during fleet-wide upgrades and remediation

• Add strong observability and auditability (metrics, traces, replayable histories), participate in on-call rotation, and drive software based fixes to reduce toil following post-incident reviews

• Integrate AI/LLM capabilities to accelerate legacy code migration and enhance safe operational outcomes through intelligent triage, correlation, and automated runbook generation

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)

• BS/MS in Computer Science or a related technical field with 5+ years of experience building and operating production-grade software systems

• Strong proficiency in backend/systems languages (Go, Java, C++, or Rust) with the ability to write high-quality, maintainable code

• Deep experience designing and operating distributed systems, including concurrency, failure handling, performance optimization, and data modeling

• Proven track record of building automation using REST APIs and Swagger with strong guarantees for idempotency, verification, and safe rollout patterns

• Hands-on experience with cloud platforms (AWS/GCP, GKE, Cloud SQL etc.) and proficiency in containerization and CI/CD workflows using Docker and GitLab

What Will Make You Stand Out (Preferred Qualifications)

• Experience with Temporal (or similar platforms) to architect large-scale fleet systems for patching, upgrades, and remediation using deterministic, health-gated workflows and replay-safe designs

• Testing discipline for orchestration and state machines, including E2E harnesses, determinism verification, fault injection, and chaos engineering to ensure system reliability

• Proficiency in PostgreSQL, including SQL development and schema management, to power high-scale, stateful management-plane services and workflows

#LIHybrid #LI-BH1

Role

Identity is the new security perimeter. Come help manage digital risk by applying security through identity integration and controls.

We are looking for a Senior Architect to join our Identity and Access Management team. This is a hybrid role on-site three days a week in San Jose, reporting to the Senior Director, ZIdentity team. You will be responsible for design and development of enterprise-grade Identity Management Products for Zscaler. You will leverage your deep expertise in IAM and public cloud environments to drive hands-on development and provide technical leadership.

What you’ll do (Role Expectations)

• Practice technical leadership in design, development, and optimization of Identity platform
• Define and execute the technical roadmap for IAM, ensuring alignment with business goals
• Work closely with engineering teams to enhance support for Common Identity platform
• Drive professional development and growth initiatives for team members

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)

• Minimum 12+ years of hands-on experience in application architecture and development using Java.  Experience developing enterprise-grade Security or Networking products.
• Must have strong knowledge of Identity and Access Management protocols, specifically SAML, OAuth & OpenID connect.
• Strong knowledge of Security Protocols such as PKI, TLS, etc.
• Expert-level technical knowledge: Enterprise Java, OOP, OOA, systems architecture, RESTful APIs, and related frameworks ( e.g.  Hibernate, Spring).  CI/CD (tools and processes).
• Expert in Kubernetes and container infrastructure.

What Will Make You Standout (Preferred Qualifications)

• Experience with Java reactive programming would be a plus

#LI-Hybrid #LI-JM1

About the Role

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

What You’ll Do

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

What You’ll Bring

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

Bonus Skills

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

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

Responsibilities

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

Qualifications

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

Preferred Qualifications

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

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

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

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

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

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

We are seeking driven, experienced, and innovative modeling, simulation, and optimization engineers to join our Concept Development team and architect the future of electric flight. Our team develops multi-disciplinary physics simulations, advanced optimization methods, and large-scale cloud computing infrastructure, then deploys these tools to design optimal vehicle configurations.  We are exceptionally data-driven and rigorous in all of our methods.  We value a strong understanding of the fundamentals of numerical methods and assessments of analysis uncertainties. We are passionate about developing electric flight, and appreciate the opportunity we have in this time and place to steer and accelerate its future.

Members of this team will:

• Develop Archer’s multi-disciplinary optimization (MDO) engine, workflows, and high performance computing resources for aircraft concept development
• Translate business goals and use cases into optimization objectives and constraints.  
• Deploy the MDO engine to create optimal vehicle designs for use cases.
• Communicate findings to stakeholders and support executive decision making.
• Support systems engineers to transform their designs into high level requirements, and the broader Archer engineering team to turn it into reality.

Team Skills

Members of this team bring one or more of the following capabilities and past experiences:

• General aircraft concept design
• Development of Analysis of Advanced Air Mobility (AAM) network simulations and evaluation of fleet performance
• Design of eVTOL mission profiles, assessment of vehicle performance, identification of load cases
• Understanding of eVTOL vehicle control algorithms.
• Physics-based and semi-empirical modeling of electric powertrains; sizing of electrical powertrains.
• Coupled aerodynamic and structural modeling and optimization of fuselage, wing, and propeller via both high-fidelity (i.e. CFD, FEA) and reduced-order methods.
• Development of physics-based mass and cost estimation relationships (CERs) for aerospace components.
• Surrogate modeling via Neural Networks or Gaussian Processes (Kriging) for use as fast-running model proxies.
• Modeling complex multi-physics systems of ODEs and DAEs and solving them using numerical methods.
• Gradient-based optimization, including Automatic Differentiation and Adjoint methods.
• Direct collocation and simultaneous sizing/trajectory optimization.
• Evolutionary algorithms and/or other non-gradient based methods for discrete-variable optimization.
• Uncertainty Quantification (UQ) and sensitivity analysis methods.
• Deploying parallelized simulation, analysis, or optimization workflows on cloud infrastructure and systems to store, query, and handle the resultant large datasets.
• Collaborating with discipline experts to build accurate models and validate analysis and optimization results
• Communicating complex technical topics and driving consensus amongst both technical and non-technical stakeholders
• Proficient in Python with NumPy, SciPy, OpenMDAO, JAX, CasADi, SMT, PyTorch, and / or other specialized scientific and optimization packages.

Candidate Requirements

• We are currently open to hiring for this position at the Senior, Staff, or Senior Staff level. Your final leveling and base salary will be determined by interview calibration and a comprehensive assessment of your skills and experience.
• Senior Level: 5+ years of relevant engineering experience.
• Base Salary Range: $130,000 - $160,000
• Staff Level: 8+ years of relevant engineering experience, including a proven track record of architectural ownership and technical leadership.
• Base Salary Range: $160,000 - $200,000
• Senior Staff Level: 12+ years of relevant engineering experience, with a history of driving multi-year technical strategy and cross-organizational impact.
• Base Salary Range: $200,000 - $240,000

Additional Compensation: The base salary ranges listed above do not include our total rewards package. The final bonus and equity amounts will be determined during the interview calibration process.

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 Architect level Business Systems Analyst, with a focus on Record to Report (RTR). Working in the IT Applications organization, you will support all SAP FI modules and peripheral application activities. As the RTR Business Systems Analyst, you will be the Subject Matter Expert for all Record To Report activities, supporting the finance business users, and functioning as a key member on project teams throughout the project lifecycle (Discover, Prepare, Explore, Realize, Deploy and Run) 

• Lead and manage all aspects of RTR projects from discovery to deployment and support.
• Configure and test FI Modules-GL, AR, AP, Fixed Assets, Treasury, EBS, Internal Order and Profitability Analysis
• Project Systems (PS) including WBS, networks, milestones, and settlement.
• Analyze complex business problems / processes and translate business requirements into workable application solutions.
• Partner with and provide guidance to business teams, and act as the translator between Finance and IT teams to ensure business requirements are communicated properly.
• Conduct root cause analysis, recommend process improvements, redesign and automation.
• Collaborate with cross functional teams to facilitate project progress and ensure integrated solution design and implementation.
• Strong knowledge of business processes and best practices in any areas of SAP Financial and Management accounting.
• Good knowledge of SAP integrational aspects.
• Provide operational support to the finance teams 
• Business as usual and Period end closing
• Facilitate the financial close (monthly and quarterly) and consolidation activities ensuring they are completed timely and in accordance with corporate timeline, guidelines and policies.
• Support financial controller in GAAP & local statutory reporting fillings. 
• Compliance and Reporting - 
• Define and execute compliance requirements related to SOX Audits & other internal / external audit requirements.
• Conduct financial controls testing and document results.
• Support the external reporting and regulatory processes such as Tax Reporting.
• Manage bank & other finance related external system interfaces.
• Develop project related documentation for GAP analysis, functional design documents, functional specifications for development activities including reports, interfaces, conversions, enhancements, and forms.
• Develop and execute functional end to end test scripts and perform unit testing, integration and regression testing, including build test cases, executing tests, and making changes to configuration and or processes as needed.
• Train the end user community in the conversion and implementation of new processes.
• Collaborate with Application Managed Services provider support team to quickly resolve critical operational issues that impact business functions.

What you need:

• Extensive experience designing and configuring SAP S4 HANA FI solutions, ideally with S4HANA. 
• Project system implementation experience is a must
• Should be part of 2+ SAP implementations in the Record to Report from Blueprint to Go-Live
• Should have 10+ years of experience in SAP systems
• B.S. with Finance major or CPA
• Ability to be detailed in a fast-paced environment

Bonus Qualifications:

• Aerospace and Defense industry experience.
• Experience implementing SAP Group Reporting.
• Experience deploying SAP Analytics Cloud (SAC) solutions

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 $130,800 - $163,500. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

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

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

Role

We are looking for a Lead Workday Engineer (People Tech & AI), for a hybrid location based in San Jose 3 days a week, reporting to the Director, Enterprise Systems Programming in the IT/Corporate Apps department. In this role, you will lead the evolution of our HR tech stack by blending deep Workday expertise with AI-driven development. You will leverage AI-assisted coding and agentic workflows to build automated solutions that solve complex People & Culture challenges and help us build seamless, intelligent employee experiences across our entire HR landscape.

What you’ll do (Role Expectations)

• Own the full lifecycle of cross-platform People & Culture solutions, bridging systems like Workday, ServiceNow HRSD, and broader HR tooling to architect secure, scalable, and seamless employee experiences
• Spearhead the evaluation, design, and implementation of AI-driven HR solutions and leverage AI applications, AI-assisted coding practices, and multi-agent orchestration to accelerate development, optimize data mapping, and build robust automated workflows
• Serve as the senior subject matter expert and strategic partner to HR, Payroll, and IT executives, translating complex technical concepts and AI capabilities into actionable business value, ensuring optimal user experiences and cross-platform synergy
• Drive AI and P&C technology investments by developing data-driven business cases with clear ROI, defining key success metrics for adoption, and creating compelling presentations to communicate strategy and impact to executive leadership
• Develop and execute comprehensive implementation plans using agile methodologies, and design robust test plans and scripts to ensure all Workday integrations and custom AI applications are delivered on time, high-quality, and bug-free

Who You Are (Success Profile)

• You thrive in ambiguity, are comfortable building the path as you walk it, and see ambiguity not as a hindrance but as the raw material to build something meaningful.
• You are a learner who has a true growth mindset and never stops developing yourself, actively seeking feedback to become a better partner and a stronger teammate, and you love what you do with purpose.
• You are a pragmatic builder who is obsessed with creating, iterating, and shipping, and you aren't afraid to roll up your sleeves to build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly.
• You champion simplicity, are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans, and you are a precise communicator who brings clarity and focus to every interaction.
• You are resilient and adaptable, viewing change as an opportunity and setbacks as temporary, maintaining composure and focus in high-pressure situations to guide yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• 8+ years of software engineering or systems integration experience, including at least 4 years of proven architectural-level understanding of the Workday Integrations framework (Payroll Integrations, Core Connectors, EIBs, Workday Studio, and advanced reporting like BIRT or Custom RaaS APIs)
• Demonstrated experience integrating AI tools, Large Language Models (LLMs), or MCP frameworks into enterprise workflows
• Practical experience with AI prompting techniques and AI-assisted development practices for faster deployment of complex logic
• Proven ability to lead agile teams, manage vendor relationships, and thrive in a rapidly evolving, high-growth environment
• Demonstrated ability to build business cases, justify investments, and measure ROI of P&C technology solutions

What Will Make You Stand Out (Preferred Qualifications)

• Previous experience integrating modern ATS platforms like Greenhouse or managing ServiceNow HRSD modules with complex, AI-enabled agentic flows
• Deep knowledge of Workato or similar middleware, experience running IT operations for custom P&C applications, and familiarity with hyperscaler infrastructure such as AWS, GCP, or Azure
• Hands-on experience deploying AI agents within distinct HR processes, coupled with a strong background in UX and design thinking to ensure seamless, intuitive employee adoption

#LI-YC2 #LI-Hybrid

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.}

Principal Software Engineer – Capella Control Plane

Location: San Jose, California (Hybrid - in office at least 3 days/week)

Couchbase Capella is a fully managed Database-as-a-Service (DBaaS) platform that powers mission-critical applications with a modern, distributed NoSQL database. The Control Plane team builds and operates the foundational systems that deliver reliability, scalability, and seamless experiences across cloud environments.

We are seeking a Principal Software Engineer to serve as the cross-team technical authority for Capella's Control Plane — the platform that orchestrates SaaS interactions with major cloud providers (AWS, GCP, Azure). This role is central to the evolution of Capella's multi-cloud control plane and will shape the systems that provision, secure, and operate the platform at scale. You will set a durable technical direction with organization level influence, be accountable for production outcomes, and drive solutions to ambiguous, high-stakes problems through hands-on development and deep distributed systems expertise.

Key Responsibilities

• Architecture & Technical Direction: Define and evolve the control plane architecture for scalability, reliability, performance, and security.
• Hands-on Development: Develop and deliver production-quality Golang code for critical Capella platform services. Establish and enforce coding standards, CI/CD practices, and design patterns.
• Multi-Cloud Infrastructure: Architect and optimize multi-cloud deployments, networking models, VPC/VNet peering, load balancing, and secure connectivity across AWS, GCP, and Azure. Build and scale multi-tenant control plane services that orchestrate cluster lifecycle across providers.
• Reliability & Observability: Define and implement monitoring, logging, tracing, and alerting standards for operational excellence. Own accountability for production outcomes including root cause analysis and long-term remediation of critical issues.
• Platform Capabilities: Lead design and delivery of core platform capabilities such as provisioning, lifecycle management, and security controls. Tackle ambiguous distributed systems challenges involving scaling, networking, and performance.
• Cross-Team Leadership: Exercise cross-team technical authority, partnering with product, SRE, Quality Engineering, operations, and global engineering teams across geographies to align technical direction with business goals. Maintain working knowledge of web UI architecture and partner effectively with frontend engineers on end-to-end control plane workflows.
• Mentorship & Culture: Guide engineers across levels, perform code reviews, and set a high bar for engineering culture.
• Innovation: Research and evaluate cloud-native technologies, frameworks, and architectures for Capella's evolution.

Must-Have Skills & Experience

• Expertise in Golang with proven experience building distributed, cloud-native systems.
• Strong knowledge of system design, high availability, fault tolerance, and performance tuning.
• Hands-on experience with cloud infrastructure (AWS, GCP, Azure), including networking (VPCs, routing, load balancing, firewalls, private connectivity) and Kubernetes/container orchestration.
• Experience designing and building control plane and platform components for SaaS platforms at scale.
• Proven experience leading cross-team architecture and platform decisions in complex, ambiguous cloud and distributed systems environments.
• Working knowledge of web UI architecture and ability to partner effectively with frontend engineers on end-to-end control plane workflows.
• Experience mentoring engineers and driving org-level influence on engineering culture and standards.

Nice-to-Have Skills & Experience

• Experience with DBaaS platforms or large-scale database infrastructure.
• Exposure to AI/ML integrations within SaaS platforms (e.g., model serving, vector databases, AI-assisted workflows).

Education & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 12+ years of professional software engineering experience, with at least 5+ years in cloud/distributed systems.
• Prior principal or staff engineer-level experience leading architecture and platform initiatives in cloud infrastructure or large-scale SaaS environments.

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.

Role

We are looking for a Director, IT Strategy & Operations to join our team. This is a Hybrid (San Jose, CA, 3 days in a week) role, reporting to the VP of IT, Corporate Applications. You will be the primary owner of our long-term IT strategy and roadmap, and the connective tissue that ensures our technology investments translate into enterprise value. This is a high-visibility, high-impact role for a leader who thrives at the intersection of finance, enterprise strategy, and governance. You aren't just keeping the lights on; you are building the world-class foundation that enables IT to support Zscaler’s rapid growth trajectory.

What you’ll do (Role Expectations)

• Architect the Multi-Year Vision: Own the long-term IT strategy, aligning our technology roadmap with Zscaler’s hyper-growth trajectory to ensure IT is always ahead of business needs.
• Build the Financial Engine: Direct the multi-million dollar IT budget lifecycle. You’ll move beyond simple tracking and toward proactive financial management - ultimately ensuring every dollar is a wise investment in growth.
• Drive the Executive Pulse: Own the IT operating rhythms. You will facilitate Monthly Business Reviews with the CIO, Quarterly Business Reviews with the CEO, and other executive governance forums. You will be the strategic partner to IT leadership, ensuring our impact is visible, measured, and celebrated.
• Master the M&A Playbook: Lead the charge on SaaS integration planning for newly acquired companies, ensuring that new additions to the Zscaler family are integrated seamlessly and strategically.
• Establish a World-Class Foundation: Elevate IT governance and SOX controls from a requirement to a gold standard. You will build the frameworks that ensure our governance is as innovative as our technology.

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. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.
• You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• 8+ years of cross-functional leadership experience, ideally driving IT operations.
• Hands-on ownership of multi-million dollar IT budgets at the P&L or cost center level, utilizing financial systems like Coupa, Netsuite, and Adaptive.
• Experience managing a large SaaS portfolio - Vendor negotiation experience yielding measurable cost savings, and leading rationalization initiatives at a publicly traded company.
• Demonstrated leadership in owning SOX controls (ITGC).
• Executive presence with experience presenting to VP, SVP, and CIO stakeholders.

What Will Make You Stand Out (Preferred Qualifications)

• Lean Six Sigma or Scaled Agile (SAFe) certification
• M&A SaaS integration experience with a history of rationalizing acquired tech stacks
• Proficiency in Snowflake or Tableau for self-serve financial reporting

#LI-YC2 #LI-Hybrid

Role

We are hiring a Principal Software Development Engineer to be a founding member of our AI Security Team, offering the chance to build a high-reliability, low-latency AI security solution designed to scale for hundreds of millions of users. In this role, reporting to the Director, Software Development Engineering, you will be responsible for designing and implementing core infrastructure components and distributed systems while collaborating closely with various stakeholders throughout the development lifecycle. This is a hybrid role, reporting in to the San Jose, CA office 3 days a week.  

What you’ll do (Role Expectations)

• Architect, develop, and optimize a low-latency, high-throughput AI Security plane utilizing Rust, specifically leveraging its async/await model for highly efficient I/O and service-oriented architecture.
• Build resilient, distributed, and scalable systems, emphasizing concurrency, fault tolerance, and robust messaging protocols.
• Implement and maintain gRPC services and APIs to ensure seamless integration of the AI Security plane with control and orchestration infrastructure.
• Systematically enhance performance across the entire stack, including LLM models, by employing profiling tools for both kernel-space and user-space components.
• Contribute actively to the team through technical documentation, system design reviews, code reviews, and by mentoring junior engineering staff.Lead complex, multi-functional projects and initiatives, defining the technical roadmap and driving execution across teams.

Who You Are (Success Profile)

• Drive the mission with an owner's mindset, seamlessly bridging high-level strategy and detailed, hands-on execution.
• Actively seek challenges and find complex solutions that deliver maximum impact.
• Deeply empathize with internal and external stakeholders, anchoring every decision in addressing their real-world problems.
• Maintain strong technical curiosity, continually seeking more secure, scalable, and effective methods to accelerate transformation.
• Connect your work to the company's broader mission, designing solutions to support high-growth, global organizational needs.

What We’re Looking for (Minimum Qualifications)

• 12+ years of software engineering experience
• Deep experience in systems programming using Rust, with a focus on asynchronous frameworks such as Tokio or async-std.
• Proven ability to design and implement horizontally scalable, highly available, and observable distributed systems.
• Strong command of Linux internals, including kernel-user space interaction, networking, sockets, and namespaces.
• Skilled in performance instrumentation, containerized environments, Git workflows, and CI/CD pipelines.

What Will Make You Stand Out (Preferred Qualifications)

• Expert in systems languages such as C/C++ or Rust, with a focus on performance optimization.
• Deep understanding of Linux networking stacks, Kubernetes networking, service meshes, and LLM model optimization.
• Practical experience with gRPC, Protobufs, and L4-L7 networking protocols, including TCP/IP, TLS, QUIC, HTTP, and WebSockets (WSS).
• Direct experience in validating AI-driven products, including understanding of model performance metrics and MLOps principles.

#LI-BH1
#LI-Hybrid

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.

Role

We are looking for a Senior Staff Software Development Engineer (C/C++, TCP/IP, Datapath) to join our Zero Trust Exchange team. This is a hybrid role based onsite in San Jose three days a week reporting to the Sr. Manager, Software Development Engineering. As a Senior Staff Software Engineer, you will architect and build next generation products. By designing high-performance, ultra-low-latency distributed systems, you will directly drive our transformation in cloud-based security while ensuring a seamless, lightning-fast experience for a rapidly scaling global user base.

What you’ll do (Role Expectations)

• Build and scale the Data Plane for Zscaler's Workload Security product, directly shaping the future of cloud-based microsegmentation
• Develop and implement cutting-edge, eBPF-based distributed host firewalls across Linux and/or Windows environments
• Write highly efficient, system-level C/C++ code to optimize the network datapath and process packets at ultra-high speeds with zero perceived latency
• Navigate OS-level architecture in Linux, while stepping in to tackle Windows system development (non-driver) to ensure seamless cross-platform security
• Design distributed system components that maintain high responsiveness and ultra-low latency during high-load, enterprise-scale traffic

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 driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
• You are a pragmatic builder. You are obsessed with creating, iterating, and shipping. You aren't afraid to roll up your sleeves and build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.

What We’re Looking for (Minimum Qualifications)

• 8+ years of heavy, hands-on system-level coding experience in C or C++
• Proven track record working directly on networking product lines, firewalls, or deep datapath optimization
• Strong system-level understanding of Linux operating systems, with the willingness to work within Windows environments as needed
• In-depth understanding of the TCP/IP stack, performance parameters, and socket programming
• Experience delivering complete software lifecycles for highly distributed, high-volume enterprise applications

What Will Make You Stand Out (Preferred Qualifications)

• Direct, hands-on experience with eBPF and/or Windows Filter Platform (WFP)
• Experience in endpoint security, microsegmentation, or tackling similar scale
• A strong foundational understanding of cybersecurity principles that complements your core networking expertise

#LI-Hybrid #LI-KM9

About the role

Muon seeks a Staff Software Engineer to join our flight software team. The ideal candidate is an expert software developer with significant previous experience architecting and building robust bare-metal / RTOS embedded devices or appliances. In this role, you will both set architectural direction for, and lead design, development, integration, and testing of much of the software and firmware that runs on our orbiting satellites. This position is based at our San Jose, CA office.

Responsibilities

• Leading member of the team defining and building Muon’s satellite bus platform
• Define and architect design and execution against the basic concepts and requirements of our missions to get the right software and firmware on orbit
• Design, bring up, and support the embedded software environment that runs in our satellite flight systems and peripherals using ARM Cortex-M CPUs.
• Guide evaluation and selection of technologies for our software foundation
• Write application, platform, and driver functionality in our flight software environment and set the standards for how others use it
• Build the architectural patterns, shared libraries, services and technical strategy documents that enable high-quality and high-velocity development of flight software
• Integrate compute and peripheral subsystems in both software and hardware
• Collaborate with hardware team members on the design and bring up of Muon hardware
• Align team roadmaps with product requirements and mission needs
• Define metrics aligned with critical company goals and enable the team to achieve aggressive goals
• Ensure effective software and hardware-in-the-loop test strategies
• Mentor senior engineers

Qualifications 

• B.S., M.S., or Ph.D. in computer science, electrical engineering, or related field
• 10+ years experience as a software engineer in a team environment
• Strong C/C++ programming, with practical familiarity of other languages
• Great embedded systems fundamentals: distributed system architecture, resource-efficient design, low-level drivers, bit manipulation, responsive software and IRQ handling, RTOS frameworks, I/O and communication buses.
• Integration and control of external hardware devices
• Read and understand hardware data sheets
• Excellent communication and presentation skills

Nice-to-have Skills

• Experience working in flight software or some closely related domain
• Rust and Python experience
• Knowledge of industry-standard data formats and schemas (ProtoBuf, YAML, JSON, etc)
• Familiarity with a Linux-based development environment
• Experience with one or more of: embedded linux, FPGA, HW design, RF communication systems, cloud/server infrastructure, network architecture.
• End-to-end development from product concept to delivery to customer/market.

Salary

The salary range for this role is $210,000 - $234,000, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process. 

About the role

Muon is looking for a Software Engineer (Back-end) to join our Ground Software team. The ideal candidate is a self-motivated and versatile software engineer who is excited to build our cloud infrastructure, web services and applications like mission planning & control software, ground station integrations, and tools to gain insight into Earth’s complex systems. Our team broadly owns all the software that enables us to communicate with the satellite, as well as customer APIs that enable multi-satellite planning and scheduling. We are fully responsible for the software we build through its full lifecycle; from implementing deployable applications, managing the infrastructure they run on, and supporting them running in production.

Responsibilities

• Build a world class Mission Planning & Control System in the cloud, using tools like Docker and FastAPI
• Participate in designing our cloud architecture: choosing which technologies we will use, how we will organize the system, and when we should build systems in-house vs buy them off the shelf, to maximize the impact of our team
• Manage the infrastructure we will use to deploy our cloud applications, using tools like Kubernetes, Helm, and AWS Lambda
• Build the spacecraft-to-cloud data integration: processing and archiving the command history and telemetry, using tools like Kafka, InfluxDB, and Grafana
• Build the APIs and tooling to integrate our cloud with remote antenna ground station networks
• Architect systems to achieve low latency and fault tolerance
• Deploy infrastructure and tools to workstations, on-premises data centers, and cloud environments

Qualifications

• B.S., M.S., or Ph.D. in computer science or related field, or equivalent experience
• 4+ years experience as a software engineer in a team environment
• Strong programming experience in Python for web development
• Experience with cloud-native software development in at least one major cloud provider (AWS, GCP, Azure) using containers
• Excellent communication and presentation skills
• Excited to work in a fast-paced environment with new opportunities each week

Nice-to-have Skills

• Experience with the AWS / Govcloud ecosystem
• Experience managing CI/CD in cloud-based development, staging, and production environments
• Have a passion for simple architectures and clean APIs
• Strong Linux fundamentals and comfortable with Linux development and deployment environment
• IT and Information security (authentication, encryption)
• Experience smoothly deploying continuously evolving data services to customers

Salary

The salary range for this role is $156,000 - $186,000 plus a competitive equity grant and comprehensive benefits package. Final compensation will be based on skills, qualifications, experience, and geographic location as assessed during the interview process.

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

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

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

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

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

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

Key Responsibilities

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

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

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

Preferred Qualifications

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

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

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

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