***This job requires active TS/SCI clearance with a CI Polygraph.  Please apply only if you have an active TS/SCI clearance with a CI Polygraph. ***

North Point Technology is hiring a Linux Administrator SME to support mission-critical environments across our Centralized SuperComputing Facility (CSCF) and other high-impact programs. This role is ideal for a senior Linux expert who can troubleshoot deep system issues, automate administration at scale, and strengthen secure, reliable platform operations across complex environments.

Responsibilities:

Administer, maintain, and harden Linux systems supporting HPC and other mission-focused programs in heterogeneous, multi-platform environments. Troubleshoot complex operating system and kernel-level issues using source code analysis, system logs, and low-level diagnostic tools. Manage patching and system lifecycle activities, including repository administration and custom kernel builds to support new functionality and security requirements. Automate system configuration, maintenance, and patch management using enterprise tools and repeatable workflows. Support and integrate identity and access management services, including directory services and token-based authentication. Partner with support teams to improve system stability, security, and operational efficiency across critical Linux environments.

Required Qualifications:

• Bachelor’s degree in Computer Science, AIS, or related field
• 10+ years of relevant professional experience
• At least 5 years of experience developing or supporting system software in heterogeneous, multi-platform environments
• Strong scripting skills in Bourne/Bash and Expect
• Experience debugging Linux kernel issues using source code analysis, system logs, crash, systemtap, or similar tools
• Experience managing Satellite repositories for patching and custom kernel builds
• Experience automating system configuration and maintenance with Ansible and Satellite Server
• Understanding of identity management systems, including LDAP and token-based authentication
• Strong problem-solving skills and the ability to work independently in complex technical environments

Preferred Qualifications:

• Experience supporting High Performance Computing environments
• Experience administering large-scale Linux infrastructure in secure or mission-driven settings
• Experience improving operational workflows through automation and standardization

We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7423

#LI-Remote

Senior Security Engineer

Our Engineering Standards at Karbon:

Balance Speed and Quality

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

Collaborate Effectively

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

Build and Maintain Systems

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

Operate with Autonomy

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

Ownership and Accountability

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

AI-Enabled Engineering

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

Contribute to Team Culture

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

About the Role! 

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

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

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

What You’ll Own:

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

What Sets You Apart

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

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

In addition you’ll need:

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

Why Work at Karbon?

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

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

Reporting to the Manager of Infra::Machines::Design, you will support sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.

What You’ll Be Doing:

• Act a member of the Sustaining Engineering team in the Infra::Machines::Design Organization
• Support server hardware, cabling, and networking hardware throughout its operational lifecycle 
• Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution
• Participate in 24/7 on-call rotation with other members of the team
• Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components
• Develop and maintain standards and practices for DigitalOcean hardware operations 
• Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns
• Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operations
• Coordinate with Ops teams on monitoring thresholds, failure modes and alerting
• Assist in troubleshooting cause of failures and work to prevent them in the future 
• Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience 
• Hands-on experience operating a cloud infrastructure at mid-tier scale or better
• An in-depth understanding of server hardware, firmware, and infrastructure
• Strong knowledge in troubleshooting techniques, Python and BASH
• Extra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience
• Clear communication and collaboration across key stakeholders 
• An insatiable passion for constant improvement

Compensation Range: 

• $83,000 - $104,000

*This is a remote role

JR: 2026-7565

#LI-Remote

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.

This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.

 What You Will Be Doing: 

As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.

• Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
• Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
• Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
• Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
• Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
• Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
• Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
• Provide regular presentations articulating product benefits, functionality, and technical solutions.
• Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
• Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
• Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
• Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
• Identify and drive process improvement opportunities and promote technical best practices across the organization.
• Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
• Build tools to enhance the experience of Premium Support customers and improve platform usability.
• Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
• Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
• Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.

What We'll Expect From You:

• Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
• Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
• Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
• Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
• Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
• Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
• Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
• Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
• Passionate about customer experience and leveraging AI/ML to solve complex business problems.
• Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
• Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
• Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
• Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
• Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
• Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
• Fluency in English.
• Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit: 

• Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
• NVIDIA Certifications around GPU and AI/ML
• Networking: Cisco/Juniper Certifications
• Programming/Scripting: Ruby, Python, Go, Bash
• Source Code: Git
• Automation: Terraform, Ansible, Chef, Puppet, Saltstack
• Virtualization: KVM, Xen
• Databases: MongoDB, MySQL, Redis, PostgreSQL
• Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
• DigitalOcean: API, libraries, services
• Linux: RHCSA/RHCE

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7695

#LI-Remote

At DigitalOcean, Data Center Engineers play a critical role in building and operating the physical infrastructure that powers our cloud platform. Our team is responsible for deploying, maintaining, and scaling the servers and networking equipment that enable millions of developers to run their applications.

From replacing a faulty drive to helping deploy infrastructure in a brand-new data center, our engineers work across the full lifecycle of hardware operations. You’ll join a collaborative, fast-growing team with opportunities to work on large-scale deployments, new data center expansions, and next-generation infrastructure.

This is a remote position.

What You'll Be Doing

• Deploying, maintaining, and scaling DigitalOcean’s data center infrastructure
• Racking, stacking, and cabling servers, power distribution units (PDUs), and network switches
• Installing and commissioning servers, networking equipment, storage systems, and GPU infrastructure
• Designing and executing large-scale infrastructure deployments including rack buildouts and cluster expansions
• Supporting new data center builds and expansions through rack layout planning and infrastructure readiness validation
• Deploying and troubleshooting high-density compute platforms including GPU and liquid-cooled infrastructure
• Diagnosing and repairing hardware issues across servers, networking equipment, and storage systems
• Debugging hardware, network, and Linux OS related issues
• Submitting RMAs and managing hardware lifecycle replacements with equipment vendors
• Managing shipping, receiving, and inventory tracking of data center hardware and components
• Maintaining deployment documentation, runbooks, and operational procedures
• Partnering with internal engineering teams to support hardware rollouts and infrastructure upgrades
• Supporting operational readiness for new data center deployments
• Participating in an on-call rotation to support infrastructure availability
• Mentoring junior engineers and contributing to team development
  
  

What You'll Add to DigitalOcean

• 6-8+ years of experience deploying, operating, or supporting infrastructure within large-scale data center or cloud environments.
• Strong understanding of data center infrastructure including compute, networking, and storage systems
• Proficient understanding of data center power and cooling architecture
• Experience deploying and troubleshooting GPU hardware and high-density compute infrastructure
• Experience working with or supporting liquid-cooled infrastructure
• Strong Linux knowledge and command line experience; familiarity with bash scripting
• Strong troubleshooting skills across hardware, networking, and operating systems
• Understanding of data center cabling standards and deployment best practices
• Experience supporting large-scale infrastructure deployments or data center expansions
• Ability to analyze infrastructure incidents and drive operational improvements
• Strong problem-solving skills and the ability to perform deep technical investigations
• Experience maintaining deployment documentation and operational procedures
• Ability to collaborate with cross-functional engineering teams
• Willingness to participate in an on-call rotation
• Valid driver’s license and ability to travel domestically and internationally (20–25%)
• Ability to lift objects up to 50 lbs and be on your feet for extended periods
• Ability to mentor and train junior engineers

Compensation Range: 

• $128,000 - $161,000

*This is a remote role

JR: 2026-7651

#LI-Remote

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog’s worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. As a Technical Account Manager 2 (TAM 2), you’ll serve as a trusted advisor to our strategic customers, accelerating their adoption of the Datadog platform and enabling long-term success. TAM 2s bring deep technical expertise, refined customer skills, and consultative insight into how monitoring, observability, and DevOps practices translate to business value.

At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Act as a technical advisor to 3 primary enterprise accounts, ensuring successful product adoption and effective usage of the Datadog platform.
• Lead enablement and adoption sessions across core product areas tailored to your customer’s architecture and business needs.
• Analyze customers’ IT Operations environments and workflows to recommend configuration, product usage, and performance improvements.
• Deliver technical business reviews, health checks, and account maturity assessments, contributing to customer QBRs with impactful recommendations.
• Escalate product issues appropriately and advocate for your customers’ needs with Datadog’s Product and Engineering teams.
• Create executive-level summaries and insights that tie platform usage to business outcomes.
• Participate in internal TAM strategy sessions and contribute to team learning through feature presentations, case studies, or best-practice sharing

Who You Are:

• You have 2+ years of experience in a technical customer-facing role (TAM, Solutions Architect, SRE, DevOps Engineer, or similar) within the cloud or observability space.
• You’re confident with at least two public cloud platforms (e.g. AWS, Azure, GCP) and have hands-on experience with infrastructure or application monitoring.
• You’re familiar with scripting or automation tools (e.g. Python, Bash, Terraform, Chef/Puppet).
• You have working knowledge of CI/CD pipelines and containerization tools (e.g. Jenkins, GitLab, Docker, Kubernetes).
• You excel at communicating technical concepts to both technical and non-technical stakeholders, and can adapt your style for individual contributors or exec audiences.
• You’re able to work with minimal guidance on customer enablement, issue triage, and product adoption strategies.
• You are comfortable traveling up to 25–30% of the time as needed (via auto, air, or train).
• Previous experience using Datadog or other cloud monitoring tools is a strong plus

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding program
• Generous global benefits package
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, including Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

About Axon 911 

Axon 911 brings together Prepared and Carbyne under Axon. Together, we are creating the only platform that combines modern 911 infrastructure with an AI intelligence layer—helping public safety agencies move faster, make better decisions, and deliver better outcomes in the moments that matter most.

911 is the backbone of public safety, yet the professionals behind it have long been held back by outdated technology. Axon 911 is here to change that. Joining this team means more than taking a job—it means helping shape the future of emergency response and building a safer, more connected world.

Your Impact

We are seeking a highly motivated and experienced Unified Communications Software Integration Engineer to integrate and deploy the world's first Cloud-Based Emergency Real-Time Communication Platform. 

You will be responsible for the interoperability and assimilation of highly available, Elastic, Robust, Multi-Tenant, and Self-Healing RTC and VoIP Signaling Services. The platform will have to comply with the most stringent Security, Authentication and Authorization Standards in order to ensure high SLA and guarantee 5 nines uptime. You will work closely with Carbyne's Operations team and act as the technical liaison between Engineering and the Business for all UC-related activities.

You will get an opportunity to work on cutting-edge technologies and to build a lifesaving emergency platform.

What You’ll Do

• Working as part of a real-time communication team in the Carbyne operation group to deliver a highly available 911 Infrastructure
• Configuring and troubleshooting Carbyne’s Novel Emergency Communication Platform
• Provide clients with customized communication solutions for Carbyne’s unified communications services
• Install, maintain, integrate, and contribute to PBX projects and UC solutions
• Create and maintain technical specs and solution documents
• Overall responsibility for onboarding new customers in alignment with customer requirements, and solution specifications using Carbyne’s best practices
• Providing technical support and training for the Operations team on 911 emergency communications systems
• Gaining a strong understanding of unified communications architecture, networking, and cloud computing
• Interact with a variety of internal stakeholders: Carbyne’s Operations, R&D, Sales, CTO Office, and Product Managers

What You Bring

• Proven experience with VoIP architecture. Hands-on installation experience deploying open-source UC (such as Kamailio, FreeSWITCH, Asterisk, etc.)
• Extensive knowledge and understanding of VoIP deployments and protocols like SIP, SDP, RTP, Web RTC, and their troubleshooting. Understanding of video\audio codecs, packetization, encryption, and transport
• 3+ years of experience in solutions deployment of open-source VoIP solutions
• 3+ years of experience in networking. Proven knowledge and experience in networking, full knowledge of the OSI model and deep understanding of 1-7 Network Layers
• Good understanding of Linux environments, including bash scripting
• Hands-on experience deployment on Private and Public network/security clouds (AWS)

Nice-to-Haves:

• Industry certifications like CCIE, CCNP, CCNA Voice
• Knowledge of Docker and Kubernetes
• Knowledge of AWS infrastructure

Work Location

This is a hybrid role, with an expectation of four days per week in office.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, dental, and Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Pay Transparency (to be updated)

Axon offers a comprehensive total compensation package, which includes base salary, a generous annual bonus, and company equity.

The starting base annual pay for this role is between $141,000.00 - $188,000.00 excluding commission, bonuses, and more annually, depending on your geographic market. The actual base salary will vary based on several factors, including level, function, training, transferable skills, work experience, business needs, and location—often a combination of these elements.

Our benefits are designed to support you physically, financially, and emotionally—through life’s major milestones and in your everyday moments. To learn more about our benefits, please visit www.axon.com/careers/benefits.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

JOB SUMMARY:

The Delivery Engineer | Splunk, will provide technical expertise in providing guidance on levels of effort for configuring, installing, and developing against Splunk: platform for operational intelligence. This position is a customer facing role and will be responsible for delivering project related consulting services to analyze the massive streams of machine data generated by IT systems and technology infrastructure—physical, virtual and in the cloud.

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

• Drive complex deployments and integration of Splunk while working side by side with the customers to solve their unique problems across a variety of use cases.
• Collaborate across the entire organization to bring access to product and technical teams, to get the right solution delivered and drive feature innovation gathered from customer input.
• Leverage previous experiences, share best practices and create innovative solutions to push user adoption and maximize the value of Splunk.
• Collaborate with and enable customers to solve the next wave of questions on their own.
• May perform other duties as assigned by supervisor.

REQUIRED SKILLS AND EXPERIENCE:

• A minimum of 3 years of current experience in technical consulting or big data analytics.
• Ability to quickly explore, examine and understand data from multiple disparate sources and how it relates to the customer’s business.
• Demonstrable understanding of common enterprise applications (especially in the areas of security and finance).
• Experience with both the Unix and Windows operating systems; comfortable on the command line interface.
• Working knowledge and recent experience with scripting languages (bash), application development (java, python, .NET), databases and analytical tools.
• Ability to collaborate with technical and non-technical consumers from IT administrators to executive level stakeholders.
• Well organized with a healthy sense of urgency - able to set, communicate, and meet aggressive deadlines with competing priorities.
• Excellent speaking and customer interaction skills.
• Not required, but a plus: statistical and analytical modeling.
• This is a remote, contract position and eligible candidates must be located in the United States.

EDUCATION / KNOWLEDGE / CERTIFICATIONS

• BA/BS in computer science, computer engineering, finance or mathematics or other related fields
• Splunk Enterprise Certified Admin
• Splunk Enterprise Security Certified Admin
• Splunk Cloud Certified Admin
• Splunk Enterprise Certified Architect 
• Splunk Core Certified Consultant

YOUR MISSION

At True Anomaly, software forms the backbone of our innovation. As a Level 3 DevOps Engineer, you are expected to demonstrate technical leadership and independence in designing and implementing complex infrastructure solutions. This role requires you to drive initiatives, mentor junior team members, and make architectural decisions that impact our entire technology stack. You will be responsible for establishing best practices and ensuring our infrastructure scales to meet the demands of critical space security applications. This role is ideal for individuals with hands-on experience who are eager to deepen their expertise in cloud infrastructure, CI/CD pipelines, and container orchestration in secure, classified environments. You'll work closely with program engineering teams, serving as a trusted technical resource while staying connected to our core platform teams.

RESPONSIBILITIES

• Lead the design and implementation of enterprise-grade CI/CD pipelines, establishing standards and best practices for automation across multiple teams and projects
• Partner with program engineering teams to support application deployments in secure and classified environments, translating operational needs into requirements for the broader platform organization
• Architect and optimize container orchestration strategies, including multi-cluster Kubernetes deployments and service mesh implementations
• Drive cloud infrastructure initiatives independently, making architectural decisions on scalability, reliability, disaster recovery, and cost optimization strategies
• Design and implement complex Infrastructure as Code solutions using Terraform, including custom module development, state management strategies, and multi-environment deployments
• Lead security initiatives by conducting infrastructure security assessments, implementing zero-trust architectures, and ensuring compliance with DoD security standards
• Establish comprehensive monitoring, alerting, and observability strategies using advanced tooling to ensure system reliability and performance at scale
• Mentor junior engineers and provide technical leadership to cross-functional teams on DevOps best practices and methodologies
• Drive automation initiatives to reduce manual processes and improve operational efficiency across the engineering organization
• Lead incident response efforts and conduct root cause analysis for complex system failures
• Collaborate with stakeholders to define infrastructure roadmaps and capacity planning strategies

QUALIFICATIONS

• Bachelor's degree or equivalent experience in a relevant technical field
• 5 to 8 years of progressive experience in DevOps, cloud engineering, or infrastructure automation
• Expert-level proficiency in Linux systems administration and advanced scripting (Bash, Python, Go)
• Proven track record of designing and implementing complex CI/CD pipelines at scale
• Deep expertise with containerization (Docker) and production Kubernetes deployments, including custom operator development
• Extensive experience with multiple cloud platforms (Azure, AWS, or GCP) and advanced Infrastructure as Code implementations
• Demonstrated ability to design and implement comprehensive monitoring, logging, and alerting solutions
• Strong understanding of security best practices, including secrets management, network security, and compliance frameworks
• Experience leading technical initiatives and mentoring team members
• U.S. Citizen with an active DoD Secret clearance (TS/SCI eligibility a plus)

PREFERRED SKILLS AND EXPERIENCE

• Professional certifications in cloud platforms (e.g., Azure Solutions Architect, AWS Solutions Architect, or GCP Professional Cloud Architect)
• Experience with GitOps methodologies and tools (ArgoCD, Flux)
• Knowledge of service mesh technologies (Istio, Linkerd)
• Experience with hybrid and multi-cloud architectures
• Background in aerospace, defense, or other highly regulated industries
• Experience with infrastructure compliance and auditing tools
• Contributions to open-source DevOps/infrastructure projects
• Demonstrated ability to work across teams with competing priorities, communicating technical constraints and advocating for engineering standards in stakeholder-facing settings

COMPENSATION

• Base Salary: $110,000 - $190,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite

YOUR MISSION

Software is the central nervous system for True Anomaly’s engineering and product thesis. Software bridges the gap between military objectives, theoretical astrodynamics and the human and autonomous control of spacecraft and ground systems in time and space. True Anomaly is seeking a highly experienced Site Reliability Engineer to contribute to the continuing evolution of our complex spacecraft modeling and simulation software.  

You do not need to have experience building space ground systems or experience in aerospace. You’ll have ownership of challenging, greenfield problems and a chance to fundamentally impact the outcome of future conflict (and the future of the company), all while enjoying world-class benefits including platinum healthcare, flexible work hours/location, highly competitive compensation and a generous stock options package.  

RESPONSIBILITIES

• Establish and sustain continuous integration and deployment processes utilizing CI/CD tools to streamline and mature development workflows
• Oversee the deployment, scaling and management of applications using Kubernetes ensuring optimal architecture and functionality while also keeping cost as a factor
• Design and manage cloud-based solutions, primarily on Azure, while also being adept with other cloud platforms while upholding security standards and maturing cloud infrastructure
• Utilize Terraform for the provisioning and management of cloud resources through usage of modules and state management
• Work closely with security teams to fortify the security of our infrastructure and applying security principles that adhere to compliance standards. We embrace being proactive rather than being reactive
• Implement and oversee monitoring and logging solutions 
• Assist software development teams by troubleshooting, optimizing performance and applying software deployment best practices ensuring mission success
• Deploy our application into challenging environments while working with the customer to ensure a smooth deployment representing True Anomaly with confidence
• Responsible for actively engaging in problem-solving, with a focus on practical involvement at both the design and debugging stages
• Enhancing and building Docker images to support a production flight environment securely
• Experimenting with the latest development tools to see if they meet the needs of our team  

QUALIFICATIONS

• Bachelor’s degree or equivalent experience
• 6 years of DevOps and cloud experience  
• Experience with any flavor of Linux
• Experiences with containers and container orchestration  
• Experience in setting up and maintaining continuous integration and continuous deployment pipelines with tools such as GitHub Actions
• Experience setting up and administrating monitoring tools like with Prometheus, Grafana, Loki, etc.
• Production experience building and maintaining cloud infrastructure
• Strong understanding of Kubernetes, specifically AKS and Helm
• Strong understanding of terraform use cases and best practices
• Experience setting up production grade networking with hybrid clouds
• Intimate knowledge of certain protocols such as TCP, HTTP(S), etc.
• Experience with any scripting language (Bash, Python, etc)
• Azure, AWS or GCP cloud certification
• Security and compliance understanding in a DevOps context   

PREFERRED SKILLS AND EXPERIENCE

• Experience in GovCloud environments (Bonus for Azure)
• Experience in the Space, Defense, or similar industry
• Experience going through DoD compliance certifications like CMMC or FedRamp
• Understands the balance and tension between moving quickly at a startup and building a mature flight environment 

COMPENSATION

• Base Salary: $135,000 - $230,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—This is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below.

#LI-Onsite

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

• Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
• Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
• Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
• Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
• Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
• Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
• Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
• Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
• Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

• You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
• You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
• You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
• You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
• You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
• You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
• You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
• You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
• You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
• You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

• You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
• You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
• You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
• Expertise in cloud platforms and technologies analogous to our stack:
  • Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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

Senior Information Assurance Engineer

Location: Denver, CO (Hybrid), San Antonio, TX (Hybrid), Brooklyn, NY (Hybrid), or Remote (US Based)

About the Role

As the Senior Information Assurance Engineer, you will focus on the technical execution of our cybersecurity compliance and resilience efforts.  You are an independent, self-sufficient expert who drives the Risk Management Framework (RMF) process forward without needing constant oversight.  You will work closely with the team and the RMF Lead to align on team priorities, technical guidance, and the strategic roadmap for sustaining our Authority to Operate (ATO).

Work Model: We prioritize candidates in the Denver, CO, San Antonio, TX, and Brooklyn, NY area, but are open to remote talent.

• Locals: 2 days/week onsite.
• Remote: Quarterly travel for team meetings.

What Success Looks Like:

• 30 Days: Review security architecture and identify critical paths for the upcoming expansions.  Familiarize yourself with the hybrid cloud/on-prem infrastructure, documentation, current workflows and begin analyzing system logs to understand the current baseline.
• 60 Days: Begin gathering and analyzing artifacts for compliance activities such as vulnerability and compliance scans.  Review and update STIG Checklists to ensure technical alignment.
• 90 Days: Assume responsibility for recurring continuous monitoring activities and the submission of related artifacts.  Proactively initiate and support A&A activities in coordination with the RMF Lead.  Begin to review and update system plans and technical documentation. 

What You’ll Do

• Execute and automate technical activities to obtain and maintain multiple Authorities to Operate (ATOs) for systems securing critical infrastructure.
• Define and scale monitoring by refining alerting thresholds and enhancing SIEM dashboards to improve real-time detection capabilities.
• Manage and remediate vulnerabilities by maintaining POA&Ms and implementing automated security patches across hybrid environments.
• Collaborate with Engineering teams to gather system artifacts and ensure security controls are integrated into the development lifecycle.
• Act as a technical liaison during engagements with the AO/AODR, providing risk mitigation guidance and technical context to support the RMF Lead.
• Provide technical expertise to evolve the security roadmap in alignment with customer requirements, company priorities, and new DoD standards.

What You Bring

Required Qualifications:

• Experience: 8+ years in DoD Cybersecurity/Information Assurance roles, with a track record of executing and authoring complex RMF packages to successful ATOs.  Ability to operate autonomously in ambiguous environments while maintaining strict alignment with team priorities.
• Technical Leadership: Expert-level understanding of eMASS and its workflows, NIST 800-53, and the ability to interpret DISA STIGs into technical requirements for developers. Hands-on experience with vulnerability scanning tools (e.g., ACAS/Nessus) and SIEM environments.
• Domain Expertise: Strong understanding of DoD Zero Trust requirements and hands-on experience maintaining security standards within automated CI/CD workflows and DevSecOps environments.
• Clearance: Must be a U.S. Citizen with an active (or ability to obtain) Secret Clearance.
• Compliance: Must be able to obtain a DoD NIPR account/CAC and possess or achieve DoD 8140/8570 IAT Level III (e.g., CISSP, CASP+, or CISM) within 6 months of hire.

Preferred Qualifications:

• Based in the Denver, CO, San Antonio, TX, or Brooklyn, NY area (Hybrid/Remote availability).
• Experience in a "Senior" IA or ISSO capacity for a non-traditional defense contractor or high-growth technology startup.
• Advanced proficiency in scripting (Python, Bash, or PowerShell) or using automation tools to streamline RMF activities.
• Experience with cloud-native security services (e.g., AWS Security Hub, GuardDuty, or Azure Monitor) within GovCloud or IL-4/5 environments.

Our Culture

At Simplesense, we value high-trust autonomy. We look for people who can navigate ambiguity and are driven by the mission.

• Safety & Innovation: You embed security and reliability practices into daily work to drive continuous improvement and mitigate risk.
• People & Communication: You invite vigorous debate and offer "kindly blunt" feedback, always maintaining empathy and assuming noble intent.
• Integrity & Ethics: You build trust by honoring commitments, acting ethically, and resolving conflict through direct, honest communication.
• Strategic Problem Solving: You focus on high-priority issues to create documented, and scalable solutions—avoiding shortcuts.
• Agility: You move quickly to fix small problems, learn from the past, and pivot transparently when the mission requires it.

Compensation and Benefits

Pay Range: $125,000- $155,000 per year. Compensation is determined based on experience, skill level, and location. We review ranges regularly to ensure market competitiveness.

Available Location:

Available locations:  Denver, CO

What you'll do as a Senior Solutions Engineer, Majors Accounts 

The Solution Engineering organization is responsible for the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. 

Reporting to the Solution Engineering Manager, the Majors Accounts Solutions Engineer is a Senior level role. You are a customer facing technologist within the Cloudflare Solutions Engineering team. You have strong experience in large account pre-sales management as well as excellent verbal and written communications skills suited for executive-level engagement. You are comfortable speaking about the Cloudflare vision and mission with C-level customer executives. Your role will be to build passionate champions within the technology ranks at your accounts, drive sales for identified opportunities, and leverage your relationships with these technical champions to build a revenue pipeline where no opportunities yet exist.

You will work within a high-profile pursuit team dedicated to certain strategic accounts, working closely with the majors account executives attached to these accounts.

Specifically, we are looking for you to:

• Build and maintain long term technical relationships with the technical buyers (executives, managers and individual contributors) at your assigned accounts, becoming a trusted advisor to those stakeholders.
• Deeply understand the business-critical issues that your accounts are facing, and provide meaningful solution designs to facilitate technical validation of Cloudflare as a part of the customer’s infrastructure, including the coordination of Cloudflare colleagues throughout the sales and procurement cycle.
• Identify and drive technical conversations in every possible line of business within the accounts, engaging key technical buyers with the purpose of uncovering new areas of potential revenue & showing value to all possible parts of your accounts.
• Empower customers in their security and network transformation journeys, helping them to define strategies and architect necessary security controls aligned with Cloudflare product suites.
• Be the voice of the customer internally at Cloudflare, engaging with and influencing Cloudflare’s Product and Engineering teams to meet your customers’ needs.
• Represent and evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and other industry events with thought leadership and expertise.

Examples of desirable skills, knowledge and experience

• Polished communication and executive presentation skills with ability to drive a discussion with a broad range of stakeholders (from the web developer to the CISO).
• Relationship building: a proven track record of building deep technical relationships with engineers and senior executives in large and strategic accounts. Experience in managing various stakeholder relationships to build consensus on security solutions/projects.
• Experience managing technical sales within large accounts.
• Developing champion-style relationships
• Driving technical wins
• Assisting with technical validation
• A deep understanding of core industry components of Cloudflare solutions (and a desire to learn more):
• Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP
• Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management
• HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), serverless application development
• Zero-trust network access (ZTNA & SASE) concepts including identity management and authentication
• Cloud computing technologies such as AWS, GCP, Azure and others
• Some scripting or programming experience with one or more of JavaScript, Python, Golang, BASH
• Understanding of, or experience with, regulatory requirements such as FedRAMP, GDPR, PCI DSS, HIPAA, SOC-2, ISO/IEC.

Compensation

Compensation may be adjusted depending on work location.

• For Denver, Colorado based hires: Estimated annual salary of $208,000 - $254,000.

This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• • Flexible paid time off covering vacation and sick leave
  • Leave programs, including parental, pregnancy health, medical, and bereavement leave

Staff Platform Engineer, Connectivity

Location: Denver, CO (Hybrid), San Antonio, TX (Hybrid), Brooklyn, NY or Remote (US Based)

About the Role

As the Staff Platform Engineer, Connectivity, you will serve as the technical anchor for major Connectivity projects that enable secure, resilient access between customer OT environments and Simplesense’s cloud-hybrid services. You will define technical strategy across the Connectivity delivery system, architecture patterns, automation workflows, and operational workflows that allow the team to efficiently onboard and support customer environments. In this role, you will partner across engineering development and operations functions to translate product priorities into a cohesive technical plan, align implementation across teams, and raise the engineering bar for quality, standardization, and maintainability.

Work Model: We prioritize candidates in the Denver, CO, San Antonio, TX, and Brooklyn, NY area, but are open to remote talent.

Locals: 2 days/week onsite

Remote: Quarterly travel for team meetings

What Success Looks Like 

30 Days: Become familiar with existing Connectivity architectures,workflows, and patterns; build relationships across Connectivity, Platform, Data Insights, and field/operations stakeholders.
60 Days: Gain a clear understanding of the Connectivity architecture; identify opportunities for standardization and automation; contribute to the technical direction of a Connectivity project initiative.
90 Days: Act as the technical owner for a Connectivity initiative project; drive architectural decisions across engineering teams; mentor Senior and Engineer-level teammates through reviews, planning, and technical guidance.

What You’ll Do

• End-to-End Technical Ownership: Serve as the technical owner for Connectivity projects, responsible for translating product goals into technical strategy, architecture, execution guidance, and long-term maintainability.
• Architecture & Design Leadership: Lead the design of secure, scalable Connectivity architecture patterns spanning facility-edge systems, Linux-based platforms, network appliances, secure channels, validation mechanisms, and operational handoff requirements.
• Delivery System Standardization: Define and evolve the reusable automation patterns, configuration models, validation routines, and implementation standards that allow Connectivity solutions to be delivered repeatedly and with high confidence to customer environments.
• Network Reliability: Shape the network observability and resilience measures to ensure Connectivity services meet performance, uptime, and supportability expectations.
• Technical Leadership: Collaborate across capability teams and functions to align architecture, sequencing, interfaces, and technical tradeoffs; translate cross-functional constraints into execution plans that multiple engineers and teams can follow.
• Security by Design: Embed Zero-Trust security practices into connectivity solutions. Ensure compliance with critical infrastructure security standards.
• Force Multiplier & Mentor: Raise the team’s overall effectiveness through design reviews, code reviews, coaching, standards-setting, and unblocking work across Engineer and Senior Engineer levels.

What You Bring

Required Qualifications:

• Experience: 7+ years of experience building, designing, and operating infrastructure automation solutions in distributed environments.
• Domain Knowledge: Strong experience designing secure, scalable architectures for systems that span Linux platforms, network infrastructure, automation workflows, and operational support requirements.
• Networking Expertise: Strong expertise in networking fundamentals, Linux-based systems, secure connectivity patterns, infrastructure automation, and observability or validation mechanisms.
• Technical Strategy: Proven ability to operate at a Staff level by defining technical direction, navigating ambiguity, and leading cross-functional initiatives from early problem framing through delivery.
• Infrastructure Automation Skills: Proficiency in scripting and automation for infrastructure. Experience using scripting languages (Python, Bash, etc.) to deploy and manage network resources in a repeatable way.
• Leadership: Demonstrated success mentoring engineers, establishing technical standards, improving team execution, and raising engineering quality beyond direct individual output.

Travel: Ability to travel quarterly for Program Management Reviews and team collaboration.

Clearance Requirements: Must be a U.S. Citizen and able to obtain a DoD NIPR network account and Common Access Card (CAC) Must have, or be able to obtain, a Secret Clearance

Preferred Qualifications:

• Based in Denver, CO, San Antonio, TX, or Brooklyn, NY area
• Experience in DoD, Air Force, or Federal contractor environments
• Certifications such as CCNP/CCIE, AWS Advanced Networking, or similar
• Experience with OT/ICS environments or critical infrastructure systems
• Familiarity with network automation tools (ex. Ansible, Cisco DevNet, open-source routing tools)

Our Culture

At Simplesense, we value high-trust autonomy. We look for people who can navigate ambiguity and are driven by the mission.

Safety & Innovation: You embed security and reliability practices into daily work to drive continuous improvement and mitigate risk.

People & Communication: You invite vigorous debate and offer "kindly blunt" feedback, always maintaining empathy and assuming noble intent.

Integrity & Ethics: You build trust by honoring commitments, acting ethically, and resolving conflict through direct, honest communication.

Strategic Problem Solving: You focus on high-priority issues to create documented, scalable solutions—avoiding shortcuts.

Agility: You move quickly to fix small problems, learn from the past, and pivot transparently when the mission requires it.

Compensation and Benefits

Pay Range: $190k-$260k per year. Compensation is determined based on experience, skill level, and location. We review ranges regularly to ensure market competitiveness.

 Technical Support Engineer 

Location: This is a 100% remote position and we are considering candidates from any major city in the USA

Armis is making a major dent in the cybersecurity market. Joining the Armis family means working with dedicated individuals on a mission to enable large organizations to benefit from the latest connected devices without fear of compromise from a cyber attack. Armis is the leading agentless device security platform purpose-built to protect the world of unmanaged and IoT devices - providing passive, real-time, and continuous asset inventory, risk management, and detection & response to prevent cyber attacks from disrupting and compromising a business.

The Technical Support Team is at the heart of impacting and ensuring clients use the Armis products effectively. Supporting our customers to solve their challenging technical security problems is critical to achieving our mission. The technical support team does this by working with our customers to offer professional and proactive deescalation for their complex technical issues. The team collaborates and works hand in hand with the Operations, R&D teams, Solution Architects, Product, Customer Success, and other teams to ensure seamless onboarding, deployment, and on-going development of our customers.

Responsibilities:

Our Technical Support Engineer will provide second level support with a focus on our US based customers. As part of our Engineers based in the US, you’ll help pave the way as the knowledge source to our growing customer base, as you will work to resolve our customers’ most pressing technical issues. You will apply your creativity and innovative ideas that best support and create a lasting experience for our customers.

As part of your day-to-day, you’ll take ownership of customer cases and troubleshoot customers’ issues. You will support our customers in making the most of our products. You will be taking on projects either within/with other teams to create a company-wide impact.

Requirements:

• Must be a US Citizen
• At least 2 years of experience in a similar role
• Industry experience in Cyber Security, particularly network security or application security is required
• Experience with enterprise customer accounts is required 
• Technical networking knowledge in TCP/IP and the application layer
• Technical experience supporting Linux-based products
• Composing SQL queries and working with Databases
• Working with Docker/Kubernetes-based environments is preferred
• Experience with Scripting languages (Bash, Python or equivalent) is preferred
• BS degree in CS or equivalent is preferred
• Enjoy working with customers using excellent communication and problem-solving skills

Salary range guidance for this position is: $70,000-$100,000 per year.

Bonus and Pre IPO Equity

The salary range listed does not include other forms of compensation or benefits (e.g. i.e. bonuses, commissions, stocks, health insurance benefits, etc.) offered to candidates. Visit our careers site for more information on benefits at Armis.

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

We are seeking an experienced Staff Observability Consultant with deep expertise in OpenTelemetry and strong Platform Engineering capabilities to help organizations implement, optimize, and scale their observability infrastructure. This role requires a seasoned consultant who can design comprehensive telemetry strategies, implement distributed tracing solutions, establish robust monitoring practices, and interface closely with clients on the observability journey.

Key Responsibilities:

OpenTelemetry & Observability

• Design and implement end-to-end OpenTelemetry solutions across diverse technology stacks
• Configure and deploy OpenTelemetry Collectors for efficient data collection, processing, sampling, and routing
• Establish telemetry pipelines for metrics, traces, and logs across microservices architectures
• Optimize collector configurations for performance, reliability, and cost-effectiveness

Platform Engineering & Infrastructure

• Augment existing infrastructure with with integrated observability solutions
• Implement Infrastructure as Code (IaC) solutions using Terraform, Pulumi, CloudFormation, etc.
• Architect and manage Kubernetes clusters with comprehensive monitoring and logging
• Build CI/CD pipelines with embedded observability and automated testing

Site Reliability Engineering (SRE)

• Establish and maintain Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs)
• Implement error budgets, toil reduction strategies, and capacity planning
• Support incident response procedures and post-mortem processes

Cloud & DevOps Engineering

• Deploy and manage observability infrastructure across AWS, GCP, and Azure
• Establish security, compliance, and governance frameworks for telemetry data
• Experience automating Agent Evaluations in CI/CD pipelines and observability backends.

Required Qualifications:

Core Observability & OpenTelemetry

• 3-7 years of experience in observability, monitoring, and distributed systems
• Deep hands-on experience with OpenTelemetry ecosystem, including SDKs, APIs, and specifications
• Proficiency with OpenTelemetry Collector configuration, processors, exporters, and receivers
• Strong understanding of telemetry data models, semantic conventions, and instrumentation best practices

Platform Engineering & DevOps

• 5+ years of Platform Engineering or DevOps experience with focus on site reliability, observability, and incident response
• Proficiency with Infrastructure as Code tools (Terraform, Pulumi, CloudFormation, CDK)
• Strong experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, ArgoCD)

Cloud & Infrastructure

• Hands-on experience with major cloud providers (AWS, GCP, Azure) and their observability services
• Experience with container technologies (Docker, Podman) and container registries
• Knowledge of networking, security, load balancing, and distributed systems concepts

Site Reliability Engineering

• Experience implementing SRE practices including error budgets and toil metrics
• Proficiency in incident management, on-call procedures, and post-mortem culture
• Experience with capacity planning, performance optimization, and scalability design

Programming & Automation

• Proficiency in multiple programming languages preferred (Go, Python, Java, Node.js, Rust)
• Strong scripting and automation skills (Bash, Python, PowerShell)
• Understanding of software engineering best practices and testing methodologies

Preferred Qualifications (Exceptional Candidates)

AI & Agentic Frameworks

• Understanding of Large Language Models (LLMs) and their application in DevOps
• Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG)
• Experience with AI/ML model deployment and monitoring in production environments

Leadership & Communication

• Strong technical writing and documentation skills
• Ability to present complex technical concepts to diverse stakeholders
• A passion for knowledge sharing

Key Competencies

• Systems thinking and ability to design holistic observability solutions
• Strong analytical and troubleshooting skills for complex distributed systems
• Curiosity about emerging technologies, particularly AI applications in operations
• Adaptability to rapidly evolving cloud-native and observability technologies
• Collaborative mindset with focus on enabling developer productivity and system reliability

What Sets Exceptional Candidates Apart:

• Experience with Honeycomb
• Contributions to open-source observability or AI framework projects
• Track record of implementing platform engineering solutions that significantly improved developer experience
• Experience scaling observability infrastructure to handle high event volume

What to know before you apply: 

• This role will require being in the Denver office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Denver base salary range for this role is $160,000 - $200,000.

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

We are seeking an experienced Observability Consultant with deep expertise in OpenTelemetry and strong Platform Engineering capabilities to help organizations implement, optimize, and scale their observability infrastructure. This role requires a specialist who can design comprehensive telemetry strategies, implement distributed tracing solutions, establish robust monitoring practices, and interface closely with clients on the observability journey.

Key Responsibilities:

OpenTelemetry & Observability

• Design and implement end-to-end OpenTelemetry solutions across diverse technology stacks
• Configure and deploy OpenTelemetry Collectors for efficient data collection, processing, sampling, and routing
• Establish telemetry pipelines for metrics, traces, and logs across microservices architectures
• Optimize collector configurations for performance, reliability, and cost-effectiveness

Platform Engineering & Infrastructure

• Augment existing infrastructure with with integrated observability solutions
• Implement Infrastructure as Code (IaC) solutions using Terraform, Pulumi, CloudFormation, etc.
• Architect and manage Kubernetes clusters with comprehensive monitoring and logging
• Build CI/CD pipelines with embedded observability and automated testing

Site Reliability Engineering (SRE)

• Establish and maintain Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs)
• Implement error budgets, toil reduction strategies, and capacity planning
• Support incident response procedures and post-mortem processes

Cloud & DevOps Engineering

• Deploy and manage observability infrastructure across AWS, GCP, and Azure
• Establish security, compliance, and governance frameworks for telemetry data
• Experience automating Agent Evaluations in CI/CD pipelines and observability backends.

Required Qualifications:

Core Observability & OpenTelemetry

• 3-5 years of experience in observability, monitoring, and distributed systems
• Deep hands-on experience with OpenTelemetry ecosystem, including SDKs, APIs, and specifications
• Proficiency with OpenTelemetry Collector configuration, processors, exporters, and receivers
• Strong understanding of telemetry data models, semantic conventions, and instrumentation best practices

Platform Engineering & DevOps

• 5+ years of Platform Engineering or DevOps experience with focus on site reliability, observability, and incident response
• Proficiency with Infrastructure as Code tools (Terraform, Pulumi, CloudFormation, CDK)
• Strong experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, ArgoCD)

Cloud & Infrastructure

• Hands-on experience with major cloud providers (AWS, GCP, Azure) and their observability services
• Experience with container technologies (Docker, Podman) and container registries
• Knowledge of networking, security, load balancing, and distributed systems concepts

Site Reliability Engineering

• Experience implementing SRE practices including error budgets and toil metrics
• Proficiency in incident management, on-call procedures, and post-mortem culture
• Experience with capacity planning, performance optimization, and scalability design

Programming & Automation

• Proficiency in multiple programming languages preferred (Go, Python, Java, Node.js, Rust)
• Strong scripting and automation skills (Bash, Python, PowerShell)
• Understanding of software engineering best practices and testing methodologies

Preferred Qualifications (Exceptional Candidates)

AI & Agentic Frameworks

• Understanding of Large Language Models (LLMs) and their application in DevOps
• Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG)
• Experience with AI/ML model deployment and monitoring in production environments

Leadership & Communication

• Strong technical writing and documentation skills
• Ability to present complex technical concepts to diverse stakeholders
• A passion for knowledge sharing

Key Competencies

• Systems thinking and ability to design holistic observability solutions
• Strong analytical and troubleshooting skills for complex distributed systems
• Curiosity about emerging technologies, particularly AI applications in operations
• Adaptability to rapidly evolving cloud-native and observability technologies
• Collaborative mindset with focus on enabling developer productivity and system reliability

What Sets Exceptional Candidates Apart:

• Experience with Honeycomb
• Contributions to open-source observability or AI framework projects
• Track record of implementing platform engineering solutions that significantly improved developer experience
• Experience scaling observability infrastructure to handle high event volume

What to know before you apply: 

• This role will require being in the Chicago office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Chicago base salary range for this role is $130,000 - $170,000.