Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.   

You will:

• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you have:

• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles

We are looking for a Specialist Solution Architect to join our Global Speciality Sales team. This is a remote role based in the Western Region - USA, reporting to the Sr. Director, Specialist Solution Architects. The Specialist Solution Architect serves as the primary technical lead and strategic advisor, guiding customers across the Americas to secure workloads and traffic across diverse hybrid and multi-cloud environments by leveraging Zscaler’s Zero Trust Architecture to achieve key business outcomes. The role will also collaborate with field teams (SEs, AEs, and Transformation Architects) at the highest levels, driving internal and customer-facing enablement for Zero Trust Cloud use cases to accelerate Zscaler’s regional GTM strategy. Furthermore, The Specialist Solution Architect will act as a critical link between the field and Product Management, providing real-world insights and customer feedback to influence the Product Roadmap and ensure Zscaler’s innovations continue to solve the most complex Cloud Security challenges.

What you’ll do (Role Expectations)

• Serving as the technical expert for Zero Trust Architecture in Cloud environments, focusing on AWS, Azure, and GCP
• Collaborating with sales and engineering teams to provide technical insights that influence the Product roadmap
• Leading conversations about Zero Trust Security trends, strategies, and deployment with customers at all organizational levels
• Running customer Proof-of-Value engagements in collaboration with Sales Engineers, demonstrating Zscaler’s unique value proposition
• Providing competitive insights and positioning Zscaler solutions as the best alternative

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You 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.

What We’re Looking for (Minimum Qualifications)

• Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent certifications/experience
• 5+ years of experience in technical sales, systems engineering, or enterprise security architecture
• Hands-on expertise in security, networking, and applications, with practical experience on at least one of AWS, Azure, or GCP
• Strong presentation and communication skills to engage with diverse audiences, from practitioners to executives

What Will Make You Stand Out (Preferred Qualifications)

• Familiarity with Zscaler Internet Access (ZIA) and Private Access (ZPA) or similar enterprise-grade SSE/SASE/Cloud Security solutions
• Experience delivering cloud-based solutions within Zero Trust frameworks
• Expertise in modern networking (SD-WAN) and cloud connectivity strategies

#LI-Remote 

#LI-AA5

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425547

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a DevOps Engineer supporting operations on site at Fort Carson, Colorado, you are the tactical edge of our engineering team. You aren’t just maintaining a platform; you play a key role in the technical success of a project. You will interface directly with customers to understand their unique constraints—such as restricted networks, hardware limitations, or urgent operational requirements—and tailor our automation and deployment strategies to move the needle for them.

You will be responsible for maintaining the end-to-end life cycle of our AI platform across a diverse architectural landscape—including remotely accessible cloud environments and on-premises hardware. You’ll thrive in this role if you enjoy the challenge of debugging complex Kubernetes clusters where connectivity is a luxury, not a given. You are someone who can navigate the unique constraints of local hardware today and write the automation that ensures seamless, reliable performance across the customer’s hybrid stack tomorrow.

This position offers a hybrid/on-site work environment at our customer sites in Fort Carson, Colorado.

Your day-to-day will include:

• Customer-centric engineering: Partnering directly with users and stakeholders to translate mission requirements into technical solutions, ensuring that Striveworks’ AI capabilities are fully integrated into their existing workflows.
• Tactical deployment and automation: Building and maintaining infrastructure-as-code (IaC) to deploy custom Kubernetes clusters across diverse environments, (e.g., AWS, Azure, GCP, and on-prem).
• Integration and troubleshooting: Acting as the primary technical point of contact for troubleshooting complex integrations, you’ll be deep in the logs, debugging containerized microservices and network and application configurations to unblock the customer.
• Product evolution: Feeding field insights back to our core product teams. You are the eyes and ears of the engineering org, identifying friction points in the installation process and automating them away.
• Mission execution: Leading software deployments on unclassified, CUI, and classified networks, ensuring that our AI remains reliable, adaptable, and ready to scale in dynamic environments.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we are looking for:

• 3–5+ years of hands-on experience in software, DevOps, site reliability, or systems engineering
• Customer-centric technical leadership that combines deep technical expertise with executive presence to lead cross-functional requirement gathering, manage professional incident response across diverse environments, and champion organizational interests to external stakeholders  
• Production Kubernetes: Expertise in deploying and diagnosing microservices within K8s (using Helm and kubectl)
• Observability and monitoring: Experience with comprehensive observability solutions (metrics, logs, and traces) using tools such as Prometheus, Grafana, and OpenTelemetry to ensure system reliability and performance visibility
• Application assurance: Ability to design and execute testing strategies to validate application functionality, diagnose issues, and perform root cause analysis—implementing effective long-term fixes to improve stability and performance
• Infrastructure-as-code: Deep proficiency in Terraform, Ansible, or similar tools to manage virtual machines (VMs) and containerized services
• Programming proficiency: Strong scripting and coding skills in Bash and/or Python for building custom automation and tooling
• Linux mastery: Ability to manage and rapidly troubleshoot Linux systems (RHEL, Ubuntu, Alpine)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We are very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Experience with DOD networking, tools, infrastructure, security requirements, and policies 
• Proficiency with US federal information system security policies, including Security Technical Implementation Guides (STIGs), NIST SP 800-171, NIST SP 800-53, CMMC, and ICD 503
• Experience with software deployments to on-premises and cloud-based unclassified, CUI, and classified networks within the DOD
• Experience with DevSecOps/DevOps and Continuous Integration and Continuous Delivery (CI/CD) for the administration and deployment of GPU-enabled servers
• Experience deploying or maintaining Cloud Native Computing Foundation (CNCF) projects
• Experience with network-attached storage (NAS) and storage area network (SAN) technologies
• Experience with Kubernetes and cloud-native applications and services in denied, disrupted, intermittent, and limited (DDIL) impact environments 

The anticipated base pay range for this position is $140,000 to $165,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. 

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

About the Opportunity

We are hiring a Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The application deadline is 05/18/2026

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary Range: $140,000 - $190,000 

Position Summary: 

We are seeking a DevOps Engineer to join our growing DevOps team! This role is ideal for someone who thrives in cloud-native environments and enjoys building secure, scalable infrastructure while improving developer experience. You’ll work hands-on across our Azure and Kubernetes platforms, helping to automate processes, improve CI/CD pipelines, and enhance system visibility. 

You’ll also play a key role in helping the team move toward a more automated, self-service platform model, reducing manual support and enabling engineering teams to move faster and more efficiently. 

Salary Range: $115,000 - $140,000/year, based on experience + bonus potential  
Location - Greenwood Village, CO. 4 days in the office and 1 day remote.

How You Will Make an Impact: 

• Build and maintain CI/CD pipelines using GitHub Actions and ArgoCD, with a focus on consistency and reliability  

• Support and manage Azure infrastructure and AKS (Kubernetes) environments  

• Deploy and manage services using Helm and Kustomize  

• Contribute to Infrastructure as Code (Terraform/OpenTofu) to support scalable and repeatable environments  

• Partner with the DevOps team to improve pipeline standardization, security, and compliance practices  

• Support development of a developer self-service platform, including tooling, templates, and golden paths  

• Help advance observability initiatives, including logging, metrics, and tracing (Grafana, Tempo, Loki, Datadog)metrics, and tracing  

• Troubleshoot infrastructure and application issues, support incident response, and participate in on-call rotation  

• Work closely with engineering teams to improve developer experience (DX) and reduce friction in deployment workflows  

• Contribute to automation efforts that reduce manual support and improve system reliability  

• Leverage AI-assisted tools to enhance productivity, accelerate troubleshooting, and support development workflows 

What You Will Bring to EverDriven: 

Required Qualifications 

• 2–4+ years of experience in DevOps, Cloud Engineering, or related roles  

• Hands-on experience with Azure, AKS, and Kubernetes fundamentals  

• Experience with GitHub Actions, ArgoCD, or similar CI/CD tools  

• Proficiency in Terraform/OpenTofu or other Infrastructure as Code tools  

• Familiarity with containerization (Docker) and deployment workflows  

• Basic scripting skills (e.g., Bash, Python)  

• Understanding of GitOps principles and modern deployment practices  

• Exposure to observability tools (e.g., Grafana, Prometheus, Datadog)  

• Strong problem-solving skills and ability to troubleshoot across systems  

• Ability to collaborate with cross-functional teams and communicate effectively  

Preferred Qualifications 

• Experience contributing to developer platforms or self-service tooling  

• Exposure to observability and monitoring strategy (logging, tracing, alerting)  

• Familiarity with Azure Service Fabric or legacy infrastructure environments  

• Experience with service mesh (Istio), ingress controllers (Traefik), or policy tools (Kyverno) 
• Exposure to multi-cloud environments (e.g., GCP) 
• Experience using AI tools (e.g., GitHub Copilot, LLMs) to support engineering workflows 

• Medical, Dental, Vision insurance
• Virtual Doctor Visits with $0 Co-Pay
• Life Insurance (company paid)
• Short Term Disability Insurance (company paid)
• Long-Term Disability Insurance (company paid)
• Flexible Time Off (FTO)
• Paid Holidays
• Paid Time to Volunteer
• Flex Spending Account (FSA)
• 401K Plan (with an awesome employer match!)
• Employee Assistance Program
• Employee Discounts Program

#LI-Hybrid 

About the team & role:

Rubrik’s sales organization is a united group of elite cross-functional sales professionals that help companies & government entities achieve resilience against cyberattacks, malicious insiders, and operational disruptions. We offer continuous professional development through our world class sales enablement program and our One Rubrik selling approach provides all the resources you need to exceed your goals, maximize your earnings potential and take your career to the next level. All this while doing something that truly matters, protecting the world's data.

The Regional Sales Director for our Cloud Product Line Specialist team will have ownership of all elements of Cloud Native (Azure, AWS, GCP) data security products across the Central and Western Regions. This includes managing a team of AE’s toward discovering and developing new opportunities, managing pipeline, executing account strategies, managing customer expansion, evangelizing & enabling on the product message internally with our field team and externally with channel / strategic partners & interfacing with Rubrik's cross functional product, GTM & engineering reams. The RD will manage a team of sellers calling into Enterprise accounts within the region while working in unison with regional leaders in Sales Engineering, Sales Development, Channel Development and Rubrik Partners to exceed sales objectives. This position will manage all aspects of the sales process and will play an integral role in the success of the overall sales team.

What You’ll Do:

• Develops and implements a comprehensive strategy that maximizes Rubrik’s cloud position and opportunities across the territory.
• Manages and develops the team of sales representatives including recruiting, hiring, and enablement of team members.
• Hands on approach and thought leadership into account strategies and focus
• Sells and promotes the introduction of Rubrik to Enterprise prospects and provides guidance to the team on strategy, sales process and CxO level selling.
• Participates in strategic and tactical planning for the region and a key member of the Enterprise Management team.
• Develops and execute a Focus plan to maximize revenue and growth across the region.
• Drives accurate team forecasting practice in line with management expectations.
• Conducts weekly progress meetings with sales team.
• Assists in the development of short, medium, and long term plans to achieve strategic objectives.
• Regularly interacts across functional areas with senior management or executives to ensure region objectives are met.
• Ability to influence thinking or gain acceptance of others in sensitive situations is important.

Experience You’ll Need:

• 3+ years of experience in sales management and experience on working on cloud hyperscaler Infrastructure/Security Enterprise deals
• Relevant domain experience across backup, cloud and datacenter environments.
• Proven track record in a sales-driven organization, selling technology-related products and services
• Solid written, verbal, and presentation skills
• Creative with strong problem-solving skills and an ability to succeed in a fast-paced environment
• Proven ability to work well as part of an extended sales team
• Knowledge of Rubrik’s specific domain area
• Experience with unstructured data is a plus

 #LI-Remote

#LI-CG1

About Team & About Role:

Rubrik’s sales organization is a united group of elite cross-functional sales professionals that help companies & government entities achieve resilience against cyberattacks, malicious insiders, and operational disruptions. We offer continuous professional development through our world class sales enablement program and our One Rubrik selling approach provides all the resources you need to exceed your goals, maximize your earnings potential and take your career to the next level. All this while doing something that truly matters, protecting the world's data.  

Rubrik is looking for a Sales Engineering Manager to lead a team of Cloud Specialist Sales Engineers and provide technical direction and business guidance to the regional sales teams across the Central and Western US. You will be accountable for regional revenue goals, recruiting and hiring top talent, enabling Sales Engineers to be best in business and by driving innovative technical programs and overseeing day-to-day account-level activities. You will be responsible for evangelizing, positioning, and architecting the industry's first hyper-converged hybrid cloud data management platform for both existing customers and new accounts. 

What You’ll Do:

• Leads a team of Sales Engineers across the Americas region
• Responsible for recruiting, hiring and enabling top SE’s as we expand our coverage
• Provide Technical Leadership and direction to the Sales Teams in the Region to help them build technology solutions for our customers and prospective customers.
• Assists in the analysis, design and development of fully integrated technology solutions.
• Demonstrates technical leadership and subject matter expertise on Rubrik’s products, distributed architectures, file systems, and competitive storage offerings in the Cloud and NAS product space.
• Acts as technical expert
• Makes technical and sales presentations to customer's technical staff and senior management.
• Serves as a trusted technology advisor to customers and serves as an internal resource on technical issues or specific business applications within an assigned market segment.
• Successfully builds relationships with the account team, partners and customers in support of sales team objectives and engages and leverages corporate resources, abilities, budgets and personnel as appropriate.

Experience You’ll Need:

• 3-5 years of sales engineering management experience preferably in a Cloud Infrastructure environments, working with AWS, Azure and GCP
• Driven – need for success, highly energetic with a strong hands-on, “can do” approach.
• The successful candidate must have a fundamental breadth of technical knowledge in cloud data management, backup and disaster recovery and data analytics.
• Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it done” attitude
• Strives in moving in a fast-paced environment; including handling multiple calls/demos per day with immediate follow up.
• A high level of business acumen and experience working with Cx0 level personnel, bringing technology solutions to solve business challenges.
• Smart, adaptable and open-minded
• Bachelor’s degree required or equivalent experience

#LI-CG1

#LI-REMOTE

Hudson River Trading (HRT) is seeking a Trading Systems Engineer to join our growing Trading Systems Infrastructure team. This team designs, builds, and maintains the infrastructure that powers our global trading, and is responsible for ensuring optimal performance and uptime of the ultra low-latency operating systems, automation software, and development tools that allow our trading strategies to run worldwide 24/7.

As a Trading Systems Engineer, you’ll work on projects focusing on our real-time production trading environment and tackle problems that require high availability, high throughput, and ultra low-latency solutions. The ideal candidate possesses a passion for coding and automation, is eager to learn new skills to help build an elegant stack, and has the ability to handle challenging technical issues within a dynamic and fast-paced environment.

Responsibilities

• Design, manage, automate, and optimize worldwide Linux-based trading infrastructure by planning and executing complex technical projects and tasks
• Troubleshoot hardware and software issues across the stack 
• Design and implement system installations and upgrades 
• Deploy, configure, and test internal and external applications 
• Remain unfazed by production-critical issues, resolving them quickly and efficiently
• Benchmark and tune the performance of the trading stack 
• Hold vendors accountable on performance and reliability issues, with the ability to confidently go toe-to-toe with a vendor's Tier 2 engineering team during an escalation
• Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed

Qualifications

• 7+ years of relevant experience supporting a live production environment (especially trading)
• Expert in installing, configuring, and troubleshooting Linux systems, from hardware and networking to kernel to applications 
• Knowledge of Debian/Ubuntu is desirable
• Proficiency with configuration management tools, particularly SaltStack – strong knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable
• Advanced programming experience focusing on automation and integration; Python is strongly preferred
• Advanced shell (bash) scripting experience
• Significant experience managing and debugging production trading services
• Strong cross-functional communication and organization skills
• Proven ability to manage assigned projects efficiently, ideally using JIRA
• Architect-level cloud experience in AWS or GCP is desirable, but not required

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

The Role: 

As a Senior Data Engineer focused on data engineering, you will play a key role in delivering a high-quality data platform responsible for maintaining and delivering Forge data to internal and external clients. You will implement new features, maintain existing functionality, and perform code reviews, unit testing, and production deployments using Agile methodologies. You will collaborate closely with Product, Design, and Engineering teams to ensure requirements are well defined and delivered in a timely manner.

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities

• Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions
• Implement software solutions in line with provided estimates and requirements
• Stay current with the latest trends and technologies in data engineering and advocate for appropriate adoption

Qualifications

• 3–5+ years of development experience using object-oriented languages such as TypeScript, C#, or Java
• Experience with scripting languages such as Python for data-related tasks
• Familiarity with modern data architectures (e.g., Medallion Architecture, data lakes)
• Experience in Private Markets or Financial Services, specifically working with financial market data
• Proven experience setting up CI/CD pipelines, managing data orchestration, application deployments, and ensuring code quality
• Strong project management skills, with the ability to take features from planning through deployment, including hands-on backend and frontend development
• Proficiency in databases such as PostgreSQL and strong SQL skills
• Experience with cloud platforms such as AWS (or equivalent like Azure or GCP)
• Extensive experience with version control systems such as Git and platforms like GitHub
• Familiarity with Agile project management tools such as JIRA or similar tools

Preferred Qualifications

• Experience migrating systems from legacy architectures to modern tech stacks
• Knowledge of real-time data processing and event-driven architectures using technologies such as WebSockets or Kafka
• Experience leading offshore and nearshore engineering teams
• Experience using large language models and agentic workflows

For residents of Denver, CO the annual salary range for this role is $100,000-$115,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

For residents of Denver, CO the annual salary range for this role is $189,000-$200,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Software Engineer II focusing on trading engineering, you will play a critical role in delivering a high-quality trading platform that powers trading functionality in the Forge Marketplace. You will identify opportunities to enhance trading products, including integrating modern low-latency technologies, and help define the direction and roadmap for trading engineering initiatives.

You will collaborate closely with Product, Design, and Engineering teams to ensure seamless integration of trading technologies into products, improving both user experience and application performance.

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities:

• Deliver software on time with accurate estimates
• Take ownership of production changes, including monitoring and maintaining runbooks
• Provide high-quality code reviews and help improve team engineering standards
• Design scalable and resilient trading platform architecture with a focus on performance
• Participate in design reviews and contribute to technical direction
• Serve as a technical expert for trading systems for internal teams and external partners
• Collaborate cross-functionally to translate business requirements into technical solutions
• Solve complex engineering challenges, particularly within code generation frameworks

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5–8 years of software engineering experience
• 5+ years of development experience in compiled, object-oriented languages (e.g., TypeScript, C#, Java)
• 2+ years of experience in dynamic scripting languages (e.g., Python, JavaScript, Ruby)
• Experience with real-time data processing and event-driven systems (e.g., WebSockets, Kafka)
• Strong SQL skills and experience with PostgreSQL and/or MySQL
• Experience building CI/CD pipelines and managing production deployments
• Familiarity with cloud platforms (AWS, Azure, GCP), proficiency with Git, GitHub, and Agile tools such as JIRA
• Experience in Private Markets or Financial Services, especially financial market data
• Strong collaboration and teamwork skills, proven ability to unblock and mentor other engineers
• Strong track record of delivery in high-performance engineering environments, commitment to diversity, inclusion, and building high-performing teams

For residents of Denver, CO the annual salary range for this role is $157,000-$190,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

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.

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director of Partner Solutions Architects, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

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:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;
• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.
  
  

Who You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations
• Has a demonstrable track-record and never-ending passion for learning; successful candidates for this position typically have 10-15 years of experience in a customer or partner facing technical role
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills
• Desired hands-on experience in two or more of the following areas:
• Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
• Public Cloud: AWS, Azure, GCP, or Alibaba
• Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
• Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
• Config Mgmt: Terraform, Ansible, Puppet, Chef
• CI / CD: Jenkins, Gitlab
• Bonus Points:
• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.)
• Previous experience using Datadog and/or other cloud monitoring tools (APM, 
• Infrastructure, Logs, Synthetics, NPM)
• Previous experience with root-cause-analysis, troubleshooting, debugging

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
• Generous global benefits
• 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, able to join our 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.

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

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a member of our team, you will be responsible for developing the technical roadmap for a customer’s implementation, and leading them through it every step of the way.   

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:

• Design and guide execution of Datadog implementations, including gathering requirements, building technical architecture, and supporting deployment and launch
• Guide customer onboarding through co-development working sessions and assist when they run into roadblocks
• Write automation and design architecture for deployment templates 
• Manage the operation of implementation projects 
• Collaborate with other teams, including Customer Success, Technical Account Management, and Sales to deliver an exceptional onboarding experience

Who You Are:

• Experience designing and delivering technical solutions for DevOps Monitoring or architecture systems
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and compute technologies (EC2, serverless, VMware, VMs, Docker, Kubernetes).
• Experience with Config Management, IAC and CI/CD tools, including Ansible, Puppet, Terraform, Chef, Jenkins, Circle CI, GitHub Actions, Azure Pipelines, etc…
• Experience programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc
• Background in security operations, including SOC management, SIEM tooling (e.g. Splunk Professional Services), and designing or supporting zero-trust networking architectures
• Successful track record with 5+ years experience as an Architect or Consultant in a professional services team
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time

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
• Generous global benefits
• 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, able to join our 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

Datadog is seeking a motivated and experienced Security Sales Engineer to join our dynamic enterprise sales engineering team. In this role, you will play a critical part in driving our security sales efforts by providing technical expertise and delivering compelling solutions to our customers. You will work closely with our enterprise sales engineers and sales team to identify customer needs, craft go to market strategy, demonstrate the value of Datadog's security solutions, and ensure customer satisfaction.

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 will do:

• Support the Enterprise Security Sales team in driving adoption of Datadog’s security offering within target strategic accounts. 
• Collaborate with the broader sales team to identify and understand security requirements across Datadog’s Enterprise customer base. 
• Conduct detailed product demonstrations and presentations, showcasing the capabilities and benefits of Datadog's security solutions.
• Provide technical expertise and support throughout the sales cycle, including during customer evaluations and proof-of-value initiatives.
• Develop and maintain a deep understanding of Datadog's security products, industry trends and current vulnerabilities, staying updated with the latest features and enhancements.
• Assist in the creation of technical proposals, documentation, and other sales materials.
• Work closely with the product management and engineering teams to relay customer feedback and influence product development.
• Participate in industry events, conferences, and webinars to promote Datadog's security solutions..

Who You Are:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Deep experience with SIEM platforms and detection pipelines, SOC workflows (alert triage, investigation, response), endpoint security (EDR/MDR), and the deployment and tuning of security controls in live customer environments.
• Expert knowledge of the developer and DevOps ecosystems and application security best practices. 
• Strong understanding of security principles and best practices.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and related security tools and technologies.
• Excellent presentation and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Strong problem-solving skills and the ability to think critically and creatively.
• Willingness to travel up to 30% to meet with customers and attend industry events.

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
• Generous global benefits
• 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, able to join our 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-Remote

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration. 

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts or notebooks).
• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
• Bachelor’s degree in a STEM field, or equivalent practical experience.
• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML. 
• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Experience with/interest in LLM workflows and agentic workflows
• Cloud infrastructure experience, (e.g. GCP, AWS).
• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
• Strong SQL skills for working with large-scale data.
• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.
• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

About the Role

The Security Operations Engineer is responsible for operating the security controls that protect the company's enterprise, cloud, and mission systems, and technical response to security events across the environment. This role operates the day-to-day execution of detection, investigation, vulnerability management, and cloud security posture work, and serves as a hands-on technical authority across the security tooling stack. The Security Operations Engineer partners closely with IT, infrastructure, engineering, and product teams to reduce risk, shorten time-to-detect and time-to-respond, and ensure that security controls function reliably in regulated and non-regulated environments alike. This is a deeply technical role requiring strong engineering fundamentals, incident response experience, and the judgment to make sound security decisions under pressure.

Key Responsibilities:

Detection, Monitoring & Response

• Operate and continuously improve the company's Security Information and Event Management (SIEM) platform, including log source onboarding, parser and normalization maintenance, detection content development, and alert tuning to minimize false positives while preserving coverage.
• Build and maintain detection rules mapped to adversary behaviors and develop corresponding response playbooks and automation.
• Serve as a first responder and technical liaison for security incidents, including triage, containment, forensic collection, root cause analysis, and post-incident review; coordinate with IT, engineering, and legal stakeholders throughout the lifecycle.
• Maintain incident response documentation, runbooks, and evidence-handling procedures suitable for regulated environments and contractual reporting obligations.

Vulnerability Management

• Operate the vulnerability management lifecycle across endpoints, servers, containers, and cloud workloads, including scanning cadence, finding validation, prioritization, remediation tracking, and exception governance.
• Partner with system owners and engineering teams to drive remediation within agreed service levels, and escalate aging or high-severity findings through defined risk channels.
• Produce vulnerability posture reporting and trend analysis for technical and leadership audiences.

Cloud Security Posture Management

• Operate Cloud Security Posture Management tooling across the company's cloud environments, including configuration baseline enforcement, drift detection, and continuous compliance monitoring against internal standards and applicable frameworks.
• Investigate misconfigurations and risky resource states, coordinate remediation with cloud and platform teams, and contribute guardrails and preventive controls where appropriate.

Endpoint Security

• Administer and tune endpoint detection and response (EDR) tooling across corporate and engineering fleets, including policy management, exclusion governance, telemetry quality, and response action workflows.
• Investigate endpoint alerts and suspicious activity, and coordinate containment, isolation, and recovery actions with IT.

Identity, Access & Secrets

• Support operational identity and access management activities, including privileged access monitoring, access review execution, anomaly investigation, and integration of identity telemetry into detection pipelines.
• Partner with IT and engineering on secrets management hygiene, including monitoring for leaked or misused secrets and supporting remediation workflows.

Threat Intelligence

• Consume, evaluate, and operationalize threat intelligence from commercial, open-source, and government sources; translate relevant intelligence into detections, hunts, and control recommendations.
• Conduct periodic threat hunting across available telemetry based on current intelligence and environmental risk.

Data Loss Prevention

As capacity allows, support Data Loss Prevention (DLP) tooling operations, including policy tuning, alert triage, and coordination with data owners on sensitive data handling concerns.

Security Tooling

• Act as a technical liaison for assigned security tools, including deployment, upgrade, integration, and health monitoring; author and maintain the integrations, scripts, and automation that connect security tooling into the broader engineering and IT ecosystem.
• Evaluate new security technologies through proof-of-concept exercises and provide technical input into procurement and platform strategy decisions.

Required Qualifications:

• Five or more years of progressive hands-on experience in security operations, detection engineering, incident response, or a closely related technical security discipline.
• Demonstrated expertise operating a SIEM platform in production, including detection content authoring, data pipeline management, and tuning at scale.
• Proven incident response experience, including acting as a technical lead during material security events from initial triage through post-incident review.
• Strong working knowledge of cloud security in at least one major provider (AWS, Azure, or GCP), including native security services, identity constructs, and common misconfiguration patterns.
• Practical experience with vulnerability management tooling and remediation workflows across mixed environments.
• Solid scripting and automation skills in Python, PowerShell, or a comparable language, including integrating APIs across security and IT tools.
• Familiarity with common detection engineering practices, and established incident response frameworks.
• Ability to communicate complex technical findings clearly in writing and to translate security risk for non-security audiences.
• Bachelor's degree in Computer Science, Information Security, Engineering, or equivalent practical experience.

Preferred Qualifications:

• Experience operating in environments subject to NIST SP 800-171, CMMC, FedRAMP, ISO 27001, or comparable regulated frameworks.
• Hands-on experience with AWS GovCloud, Microsoft 365 GCC High, or other sovereign cloud environments.
• Experience with EDR platforms such as CrowdStrike, SentinelOne, or Microsoft Defender for Endpoint at enterprise scale.
• Experience with CSPM platforms such as Wiz, Prisma Cloud, Orca, or equivalents.
• Detection engineering experience using Sigma, KQL, SPL, or similar query and rule languages.
• Exposure to identity platforms such as Okta, Entra ID, or Ping, including their audit and telemetry surfaces.
• Industry certifications such as GCIH, GCIA, GCFA, GCED, OSCP, or equivalent technical credentials.
• Active US security clearance, or eligibility to obtain one.

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. #LI-DC1

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

Fivetran is looking for a Senior Staff Software Engineer enthusiastic to join our fast-growing company. Database Team with a focus on SQL Server, Oracle binary log reading and change data capture, you will be responsible to help build new features of our data pipeline service, help improve our software architecture, and maintain reliable operation of the service. We're looking for someone who wants to learn and apply the key values that make our product great, dive deep into complex investigations into database transaction logs, binary log parsing, data replication and build a world class ELT solution for SQL Server or Oracle systems.

Fivetran is the epitome of data-driven-development — our engineering team is focused on building a world class product that:

• Facilitates Data Analytics — join our mission to reliably deliver best-in class schemas, and clean data, designed to be intuitively useful to analysts.

• Contributes to our Community — help develop tools like Data Lakes, SQL-based Transformations, and schema explorers to empower analysts to choose the best tools, and to make those tools more powerful.

• Is Absolutely Dependable — work to make Fivetran the most reliable and secure component of our customers’ data infrastructure.

We emphasize using no-nonsense code, and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, C, Postgres, and Kubernetes, and our front-end is built on React and Typescript.

This is a full-time, hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

Java, SQL Server, Oracle, SQL, Kubernetes

What You’ll Do

• SQL Server and/or Oracle Binary Log Reading: Develop and implement strategies for reading SQL Server or Oracle binary logs to enhance data replication accuracy and efficiency.
• Reverse Engineering Database Binary Logs: Utilize reverse engineering techniques to understand and improve upon the database binary log structure for better data integrity and replication performance.
• Dive Deep into Data Replication: Debugging and analyzing existing code that is in use by hundreds of customers today, including those operating the largest SQL Server clusters.
• Analyze New Features: Analyze new features introduced by SQL Server and/or Oracle in recent releases and determine how to develop supporting features.
• Contribute to Maintenance and Improvement: Participate in the maintenance and improvement of existing connectors; call for improvement in all areas of Fivetran's codebase and infrastructure.
• Cloud and Scale: Be a part of the process to move a high-performance client-side service to the cloud and operate at scale.
• Software Designs and Technical Roadmap: Develop software designs and a technical roadmap for the team. Also collaborate with Database Group leadership in helping craft the rolling 12 month technical roadmap for the organization.
• Assist Customer Success and GTM Teams: Work closely with the Customer Success and Go-To-Market (GTM) teams to assist in challenging customer situations. Provide technical expertise and solutions to ensure customer satisfaction and support Fivetran's growth objectives.

Skills We’re Looking For

• 10+ years programming in Java, C or C++ languages, with a strong background in SQL Server.
• Experience with SQL Server and/or Oracle binary log reading and the ability to reverse engineer database binary logs.
• Writes well-structured and performant code
• Be able to solve critical problems for our largest customers to minimize impact. 
• Be able to dive into code that has been previously written and suggest improvements.
• Understand and can explain how to build high performance systems and processes.
• Able to define project requirements and be proficient at designing software and infrastructure.
• Enjoy mentoring and growing junior develops.
• Have an analytical mindset that helps you identify design flaws in existing systems and come up with improvements.
• Experience understanding customer requirements and/or problems and breaking them down into engineering tasks.

Bonus Skills​

• Advanced knowledge in reverse engineering, particularly with database systems.
• Experience in working with open source projects with other collaborators.
• Experience in data processing (ETL, ELT) and/or cloud-based platforms.
• Experience in designing and developing file, event, application, or database connectors.
• Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, Docker, BuildKite, or similar technologies.

#LI-HYBRID #LI-AM1

Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer success is obsessed with great customer outcomes. We deliver mission-critical business impact fast and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team provides you with the support and growth you need to strengthen and evolve your consulting skills while driving next-generation, AI-powered digital transformations..

We are seeking a Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian’s platform for our commercial clients. This includes working within an agile environment to understand our client’s business processes and technical needs, launch new relational data models in production, and developing APIs to integrate with multiple systems. You’ll brainstorm AI use cases and implement  Appian’s AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client’s technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own.

To be successful in this role, you need:

• The ability to work with clients to define business processes and gather functional and technical system requirements
• Excellent communication skills, passion for technology and continuous learning, and an affinity for asking “why” and solving the right problems
• History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints)
• Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred)

Basic qualifications:

• 1+ years of experience with hands-on software development or technical consulting
• Experience with object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc)
• B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree
• Willingness to travel; 20% to support customer engagement

The base salary for this role is between $75,000-$125,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. 

Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

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.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock 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.

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.

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

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock 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.

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP.

Role Description: 

As a Product Manager for Navy, you will collaborate with Navy Tech Leads to establish a technical roadmap for Mission outcomes with Mission Heroes, and facilitate feedback from Delivery to Product.

Responsibilities: 

• Serves as a Product Manager for the Navy Domain. 
  • Collaborates with Navy Tech Leads to establish technical roadmap for Mission Outcomes with Mission Heroes 
  • Aligns Defense Unicorns’ Product Roadmaps to technical roadmap for your Hero and provides feedback to Product segment on Mission Need dates for features to drive adoption 
  • Share and facilitate feedback from Delivery segment with Product segment regarding Defense Unicorns’ OSS projects and productized services 
  • Work with Tech Leads to establish an aligned Delivery roadmap, using Product roadmaps 
  • Follow company best practices in strategies for building Delivery solutions
  • Balance priorities from users, customers, stakeholders, and the team to deliver mission value in a scalable way
• Fosters an environment for Unicorn growth, mentorship, and coaching within the team
• Fosters an environment for Defense Unicorns values and principles to thrive

Travel Expectations: 4-12 times per year

The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise.

Preferred Experience and Qualifications:

• US Citizenship and active SECRET clearance
• Proficient in translating pain points to root cause problems and working with engineers to build a roadmap for value delivery
• Proficient in modern software development processes and practices, including DevSecOps, Continuous Delivery, and User-Centered Design
  • Expertise with modern software development processes and practices, including DevSecOps, Continuous Delivery, User-Centered Design, and Value Stream Architecture, and varying Agile frameworks; able to apply and adapt principles and ceremonies from different frameworks to suit the team, the product, and the mission objectives
• Experience managing cross functional engineering teams
• Skilled in expectation management across different personas
• Experience and passion for software delivery for Mission Success within the tech industry or Department of Defense
• Exhibit enough technical depth to understand architectural decisions and translate in a way that stakeholders, users, and the team can understand and be aligned on

• 2-4+ years of experience leading complex technical programs, ideally in aerospace, satellite systems, radar technologies, or other hardware-integrated environments.
• Proven ability to execute programs end-to-end across development, production, launch readiness, and deployment phases.
• Strong cost, schedule, and risk management experience, KPI tracking, and performance reporting.
• Experience managing suppliers and contracts within aerospace or advanced manufacturing ecosystems.
• Solid systems integration understanding across hardware, software, and space operations, including familiarity with satellite lifecycle management (AIT, launch integration, constellation ops).
• Proficiency with program management tools (MS Project, Jira, Confluence, ERP systems) and awareness of cloud-based systems integration (AWS/GCP preferred).
• Builds trust and accountability across cross-functional teams.
• Leads through influence in matrixed environments and facilitates solution-oriented dialogue.
• Communicates clearly and transparently with both technical teams and executive leadership.
• Demonstrates resilience and adaptability in dynamic, high-stakes environments.
• Collaborates effectively across engineering, supply chain, operations, and leadership to drive predictable outcomes.

• Lead end-to-end program execution for Tomorrow.io’s satellite constellation and internally developed software-defined radar production programs.
• Establish and drive integrated program plans spanning spacecraft and payload development, production, launch readiness, and constellation sustainment.
• Proactively manage risks, dependencies, suppliers, and technical trade-offs to meet cost, schedule, and performance commitments.
• Monitor and improve operational metrics across development and production lifecycles to ensure predictable, high-quality execution.
• Align cross-functional teams around program objectives, ensuring strong collaboration and transparent communication with leadership.
• Contribute directly to maintaining a high-performing weather observation constellation and scaling the world’s most impactful weather intelligence platform.

If your experience is close but doesn’t fulfill all requirements, please apply. Tomorrow.io  is on a mission to build a special company. To achieve our goal, we are focused on hiring people with different backgrounds, perspectives, and experiences.

This position requires access to technology that is controlled under U.S. export control laws and regulations. Accordingly, this position is restricted to U.S. citizens, permanent residents and protected individuals unless and until any required licenses are obtained.

Tomorrow.io is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Tomorrow.io participates in the E-Verify program in all US states, as required by law.

At tomorrow.io we have established a workplace culture that values fairness and equal opportunities and we believe it is crucial for fostering a positive and productive environment. Regularly reviewing and adjusting pay practices to align with legitimate drivers of pay, such as job level, geographic location, and performance, demonstrates a commitment to maintaining equity within the organization.This commitment to ongoing assessment and improvement is key to creating a workplace that is not only diverse and inclusive but also fair and just. The anticipated salary range for this role is $135K-$150K subject to local market and candidates skills and experience. Comprehensive health benefits, unlimited paid time off and other benefits included. Relocation assistance may be offered/available for certain roles.

Tomorrow.io is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at jobs@tomorrow.io

About Tomorrow.io:

Selected by TIME Magazine as one of the Top 100 Most Influential Companies in the World, Tomorrow.io is the world's leading Resilience Platform™. Combining next-generation space technology, advanced generative AI, and proprietary weather modeling, Tomorrow.io delivers unmatched forecasting and decision-making capabilities. Trusted by six of the top ten Fortune 500 companies, Tomorrow.io empowers organizations to proactively manage weather-related risks, opportunities, and enhance operational efficiency. From cutting-edge weather intelligence to real-time early warning systems, Tomorrow.io enables predictive, impact-based action for a safer, more resilient future. Learn more at Tomorrow.io.

Ethos: Our ethos guides us in everything we do - The people of Tomorrow are here to make an impact, they show true grit, and always put people first.

How we roll: We believe that magic happens when people work together. The People of Tomorrow take ownership with a bias for action. We believe in transparency and directness, putting work before ego, and empathy. The People of Tomorrow have a can-do attitude, are resilient, and curious. They are growth oriented, value people striving to be experts, and love to have fun. Here, your success is achieved by your impact and deliveries and not by the hours you put in. We have flexible hours and unlimited vacation days policy. The People of Tomorrow show empathy, mutual respect and work as one diverse team. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.

As a Hunter Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Work directly with prospective, greenfield, customers on their 0 to 1 journey with Databricks 
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems at scale 
• Comfortable programming in, and debugging, Python and SQL
• Experience using agentic coding harnesses and demonstrable experience scaling your work leveraging them 
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer Success is obsessed with great customer outcomes. We deliver mission-critical business impact fast and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team provides you with the support and growth you need to strengthen and evolve your consulting skills while driving next-generation, AI-powered digital transformations.

We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian’s platform for our commercial clients. This includes working within an agile environment to understand our client’s business processes and technical needs, launch new relational data models in production, and developing APIs to integrate with multiple systems. You’ll brainstorm AI use cases and implement  Appian’s AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client’s technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own.

To be successful in this role, you need:

• Passion for mentoring/developing others and experience leading small teams through post-sale software implementation
• Ability to work with clients to define business processes and gather functional and technical system requirements
• Excellent communication skills, passion for technology and continuous learning, and affinity for asking “why” and solving the right problems
• History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints)
• Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc)
• Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred)

Basic qualifications:

• 3+ years of experience with hands-on software development or technical consulting
• B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree
• Willingness to travel; 20% to support customer engagement

The base salary for this role is between $100,000-$150,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. 

Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.

Location: Denver, Colorado Remote Status: Fully Remote (#LI-Remote)

LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise conversational AI and digital transformation. The world's leading brands use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes. Fast Company named LivePerson the #1 Most Innovative AI Company in the world.

Position Overview

Our goal is to deliver the next-generation of Conversational AI (CAI) by leveraging and creating the latest in Generative AI technology. We are looking for a Principal Engineer, AI Architect to design and implement the latest Generative AI based solution, reporting directly to the Head of Architecture. This role includes working with the innovation team and other senior engineers. As an architect, the engineer will be instrumental in shaping the AI vision of LivePerson. 

You Will: Key Responsibilities & Impact

• Architect and build next-generation Conversational AI products that push the boundaries of what's possible
• Lead and mentor engineering teams, setting technical direction and best practices
• Partner with Product to shape requirements and translate vision into scalable solutions
• Design cloud-native architectures that are resilient, scalable, and built for the future
• Integrate cutting-edge AI tools and services, championing their adoption across the team
• Drive engineering excellence through comprehensive test automation and quality-first delivery

You Have: Required Skills & Qualifications

• 10+ years building full-stack applications with Java and Node.js (Python and Vue.js are a plus)
• Bachelor's or Master's degree in Computer Science, Communications, or related field
• 5+ years designing and architecting enterprise-grade SaaS Products
• 5+ years shipping AI products to production
• Deep experience with cloud platforms (GCP experience is a plus)
• Background in data analytics and reporting tools, especially for contact centers and conversational analytics (nice to have)
• Proven track record leading engineering team as technical expert

The salary range for this role will be between $190,000 - $210,000 USD. Final compensation will be determined by a variety of factors, including, but not limited to your location, skills, experience, education, and/or professional certifications.

Our Benefits & Perks

We are committed to supporting the complete well-being, health, financial security, family, and professional growth of our permanent employees.

🏥 Health & Wellbeing

• Medical, Dental, and Vision Insurance: Comprehensive plans to support your health needs.

Wellness Resources: Access to wellbeing resources and programs including our EAP plan.Health & Mental Support: Access a confidential and free Employee Assistance Program (EAP), providing professional counseling.

💰 Financial Security & Growth

• 401(k) Retirement Plan: To help you plan for your financial future by offering both the plan and a 4% employer match (100% match on the first 3% contribution and 50% match on the next 2% contribution)

HSA & FSA Plans:  To help you plan for health related expenses on a pre-tax basis

• Employee Stock Purchase Program (ESPP): Participate and receive a discount on company shares, allowing you to directly share in LivePerson's success and growth.
• Additional Insurances: Basic and supplemental  life insurance,  Accidental Death & Dismemberment (AD&D) insurance, long-term and short-term disability insurance coverage, legal plan, identity theft protection plan, and critical illness supplemental insurance.
• Development: Access to internal professional development resources.

👨‍👩‍👧‍👦 Time Away & Family Support

• Flexible Paid Time Off (PTO): Discretionary PTO package for flexible days off with manager approval.
• Paid Public Holidays.
• Generous Parental Leave Policy: Including maternity/paternity support and fertility services.

💻 Workplace Flexibility

• Remote-First Model: This role is fully remote (#LI-Remote), offering excellent work-life balance and flexibility. We also maintain dedicated WeWork space for those who wish to meet colleagues or collaborate in person.

Why You’ll Love Working Here

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. We're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space.

Belonging at LivePerson: Equal Opportunity Employer

We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer (EOE). We believe that diverse perspectives drive innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristics protected by US Federal, State, or Local law.

Accessibility Commitment

LivePerson is dedicated to the accessibility needs of our applicants and employees. We provide reasonable accommodations to job applicants with disabilities. Applicants who require a reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.

Important Candidate Notice

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. The phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.

Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address. LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information, and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a Privacy Analyst to join our global SaaS company and growing legal team. This non-attorney role will report directly to the Data Protection Officer and will serve in a leading privacy role in the organization. They will be responsible for the company’s global data protection compliance program and there is potential for huge impact across our rapidly-growing global company. The successful candidate will possess strong technical acumen given the strategic nature of the role, have a right-sized risk calculus, and fluid communication skills.

A risk-adjusted privacy analyst with a technical, process, and operations-orientation to help educate and build the business as Fivetran scales. As a member of the Legal team and working with the Legal team to build and scale a world-class legal organization, you will have primary responsibility for building, maintaining and improving the global privacy and data protection compliance programs at Fivetran. 

This will include staying informed of peer company best practices and relevant global data protection developments, coordinating with our privacy attorneys to gauge applicability to the company's activities and objectives and advising the business on how to promote the company's goals while complying with applicable regulations. Your expertise will drive creative, customer-focused, practical and proactive guidance.

Fivetran is a start-up company where everyone rolls up their sleeves and digs in to work, and this role is no different. You will be an analyst on privacy and data protection compliance initiatives.

This is a full-time, hybrid position based out of our Oakland or Denver offices. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

Ironclad, Salesforce, Onetrust, Relyance AI, Trelica, Slab, Jira, Java, Postgres, Oracle, SQL Server, MySQL, Kubernetes, Docker, AWS, GCP, CircleCI, Zendesk, Docker, Grafana, DBeaver, Cortex Cloud

What You’ll Do

• Manage projects related to ongoing compliance with privacy and data protection laws across business areas 

• Help develop, maintain, and scale processes, policies, procedures, technical controls, and playbooks that support global privacy and data protection program

• Utilize project management and communication skills to help define scope, requirements, analyze data, and develop technical recommendations for program and operational execution 

• Drive greater consistency of process, practices, and execution across company-wide privacy and data protection work-streams

• Work closely with privacy team members to further privacy governance, monitoring, reporting, and auditing on the ongoing initiatives of the privacy and data protection program 

• Develop the privacy and data protection program for a global technology company and ability to lead the continued development, maintenance and improvement of Fivetran’s global privacy program including effective policies, procedures, technical safeguards, and documentation

• Contribute to a fast-paced environment and execute change management

• Work cross-functionally throughout the organization including with product, security, engineering teams

• Support the development of the strategy, delivery, and evaluation of the privacy program and data protection compliance

• Embody process and relationship-building skills to accomplish the mission

Skills We’re Looking For

• Understanding of technical issues (cookie management, encryption)

• Experience writing business, functional, and technical requirements with specifications, including strong documentation skills

• Strong data analysis and project management skills

• Engineering background preferred, but not required

• You love privacy-related work and view protecting privacy rights not as a compliance obligation, but as the right thing to do 

• You love working with product strategy and engineering

• Experience with privacy regulations and industry standards, including GDPR, CCPA, CPRA, ISO27701, PCI-DSS, NIST, EU Data Act, EU NIS2, and UK NIS.

Bonus Skills​

• CIPP, CIPM, or CIPT preferred, but not required

#LI-HYBRID #LI-SE1 

Job Description  

We automate the most tedious parts of the data stack—so data arrives in the warehouse ready to query, transform, and power insight. No maintenance, no manual effort, just trusted data delivered at scale.

Today, thousands of the world’s most data-driven companies—spanning Fortune 500s to high-growth startups—rely on Fivetran to move billions of records daily and execute millions of transformations through our platform. With ever-increasing demand for data in AI and analytics workflows, we’re building the infrastructure to power the next generation of intelligent business.

About the Role

As a Product Manager on our Enterprise Platform team, you’ll shape the foundation that makes Fivetran scalable, secure, and extensible for thousands of enterprise customers. 

You’ll lead key initiatives across the platform–enterprise-grade security and governance, user and workspace configuration, and observability tooling—ensuring customers can confidently configure, govern, and scale Fivetran usage.

This is a high-impact, high-visibility role, perfect for product leaders who thrive on technical challenges, tight feedback loops, and opportunities to shape long-term platform strategy. You’ll balance usability and self-service with enterprise-grade requirements like scale, security, and governance.

This is a full-time position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You’ll Do

• Define and drive the vision, strategy, and roadmap for key platform features

• Partner closely with engineering and design to define and deliver robust, intuitive functionality that meets the needs of enterprise customers.

• Understand customer needs by engaging directly with users, analyzing feedback and usage data, and collaborating with support, sales, and solutions engineering.

• Drive cross-functional alignment and go-to-market readiness for major product launches.

• Stay on the pulse of trends in developer platforms, data infrastructure, and enterprise tooling—with an eye toward AI-first opportunities.

Skills We’re Looking For

• Product management experience in B2B SaaS or cloud platforms.

• A strong technical foundation—comfortable working on APIs, backend systems, developer tools, or security platforms.

• A track record of owning complex initiatives and delivering high-impact outcomes for technical users.

• Exceptional collaboration and communication skills across product, engineering, and go-to-market teams.

• Analytical mindset and comfort with ambiguity in a fast-paced environment.

• Ability to thrive in a fast-paced, high-growth environment.
   

Bonus Skills

• Familiarity with modern data infrastructure and tooling (e.g., ELT/ETL, dbt, Airflow, Dagster, Snowflake, Databricks).

• Experience with enterprise security and compliance standards (e.g., SSO, RBAC, audit logging, SOC2).

• Prior work on developer tools, SDKs, or extensibility platforms.

• Hands-on experience with cloud platforms (AWS, Azure, GCP).

• Prior experience in a startup or fast-paced environment.

#LI-HYBRID #LI-KM3

About the Role

Fivetran is looking for a high-performance engineer to be a part of a team of Site Reliability Engineers. You will be working closely with engineering teams, product managers, as well as support and sales engineers to build the future of the Fivetran Data Platform Reliability. 

As a member of the Site Reliability Engineering team, you will contribute to overall performance and reliability of Fivetran’s infrastructure by monitoring, alerting and initial incident response. You will support the deployment pipeline by working alongside senior SREs. You will gain valuable experience in effective incident response and issue avoidance, becoming a key player in Fivetran’s growing SRE team..

• Responsible for monitoring the availability, capacity, and throughput of Fivetran's production infrastructure to identify and address potential issues.
• Collaborate with engineering teams to integrate reliability best practices into the product roadmap
• Support the prioritization and resolution of critical bugs identified by support or sales.
• Contribute to maintaining 100% availability of production infrastructure by collaborating with engineering to implement automation for scalable deployments
• Proactively monitor infrastructure vulnerabilities and collaborate with the security team to address them in a timely manner.

This is a full-time, hybrid position based out of our Denver, CO Office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Outcomes:

By month 1

• Ramp up with Fivetran technology stack and architecture
• Develop general awareness of all areas of Fivetran's codebase and infrastructure
• Start monitoring the Fivetran platform
• Start contributing to incident post-mortems

By month 2

• Deliver the task that is being assigned

By month 6

• Deliver the project tasks that is being assigned

Competencies:

• 5+  years of  experience working with SaaS products at scale 
• Working experience  of Kubernetes administration
• Knowledge of Cloud Platforms and related tooling: AWS, GCP, Terraform, configuration management
• Experience in Python/Shell scripting. Bonus if you have Java also
• Experience with Linux operating systems internals and administration
• Experience with databases such as PostgreSQL

#LI-HYBRID#LI-EM1

Dark Wolf is looking for a Google Workspace Engineer who is interested in working in a fast-paced environment supporting and maintaining a large-scale Google Workspace environment for a DoD customer. The successful candidate will work in collaboration with the customer’s security team and will be responsible for implementing security best practices for Google Workspace to include designing and architecting solutions to secure services, monitoring Workspace services, and responding to incidents. This position will also offer the opportunity for the successful candidate to expand their role into greater responsibilities such as Cloud and Platform Security Engineering.

Key Responsibilities:

• Administer all services within the Workspace suite: Gmail, Drive, Docs, etc. 
• Design and implement data loss prevention (DLP) controls for Workspace content
• Implement Gmail filtering controls to detect and quarantine sensitive content
• Perform Incident response on across all Workspace services
• Document and present security best practices and designs to Customer stakeholders

Required Qualifications:

• 5+ years of System Administration experience for Education, Enterprise or Federal Government customers
• 2+ System Administration experience for Google Workspace or similar SaaS office suite platform (e.g. Microsoft 365)
• Experience supporting user requests and troubleshooting issues
• Experience with DoD/DISA cybersecurity policies
• US Citizenship and the ability to obtain a Secret security clearance

Desired Qualifications:

• Bachelor's Degree in Computer Science of related field
• Professional Google Workspace Administrator Certificate 
• Experience operating and maintaining systems on Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure
• Knowledge of the Risk Management Framework (RMF) accreditation process and security requirements
• Knowledge of Google Apps Manager (GAM)

This position will be a remote/hybrid role based out of multiple hubs including: Herndon, VA, Tampa, FL, Huntsville, AL, Colorado Springs, CO, Ogden, UT, and Omaha, NE.

The salary range for this position is estimated to be between $70,000.00 - $135,000.00, commensurate on experience and technical skillset.

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE

As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide one of our largest AI native customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in, and debugging, Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
  • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

FEQ427R139

Mission

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region

What we look for:

• 8+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• US Citizen

#LI-DP1

ABOUT THE ROLE

Sphinx is hiring a Senior DevOps Engineer to join our team, building the next generation of mission planning and command and control software for space communications programs. This team is charged with creating modern, resilient services and capabilities to service the US Government for the next decade and beyond.

We're seeking an experienced Senior DevOps Engineer to help take our build and deployment automation to the next level. As a Senior DevOps Engineer, you will build the development and deployment infrastructure used by our Space Communications team, which provides infrastructure for a wide variety of US Government satellites; you will play a key role in building a cutting-edge communications platform for US government satellites. You will have a role in determining what we build and how we work. You'll work as an individual contributor and a lead for more junior engineers.

What you will be focusing on:

• Working with a team to develop and operate automated build and deployment infrastructure in GitLab CI/CD and Atlantis
• Developing and operating automated build and deployment infrastructure
• Writing and maintaining Cloud Infrastructure
• Owning technical problems end-to-end
• Maintain multiple Kubernetes clusters in production
• Packaging software into Helm Charts
• Writing and maintaining Cloud Infrastructure with Terraform
• Configure and maintain a federated message bus infrastructure
• Maintaining CI/CD pipelines 
• Supporting software engineering teams with the use and integration of pipelines and cloud infrastructure
• Ensuring developed infrastructure and CI/CD solutions seamlessly deploy/integrate with third-party platforms and infrastructures

You might be a good fit if you have:

• You have 5+ years of progressively responsible software engineering experience in a DevOps role
• Leveraged a major cloud provider's (AWS, Azure, GCP) services in a production setting
• A habit of self-directed learning of new technologies
• Strong experience with either Python or Go
• Strong experience with Ansible automation
• You have made enough mistakes and booked enough wins to know what not to build and what good looks like
• The ability to see through the noise to the most critical problem.
• The ability to provide technical leadership, guide, and mentor junior engineers
• Excellent communication skills, working with end-users to design and build solutions to their needs, a habit of self-directed learning of new technologies, and the ability to learn quickly and adapt to a fast-paced environment

LOCATION

This position is primarily remote, but candidates must be able to work on-site in a secure facility in Northern Colorado Springs, CO as needed to perform classified work.

COMPENSATION

This role is between $160,000 - $185,000 base salary.

BENEFITS

Compensation includes competitive salary, meaningful equity ownership, profit sharing, employer 401(k) contribution, and 100% employer covered medical, dental, and vision insurance for you and your dependents.

EEO STATEMENT

At Neo4j, our Solution Engineers are pivotal to our company’s success. As a member of our regional go-to-market team, you will partner with our sales executives, working closely with clients to showcase how the Neo4j Graph Intelligence Platform addresses their critical business needs.  Neo4j Solution Engineers play a central, hands-on role as clients consider and evaluate Neo4j technology, and support customers in an advisory capacity throughout their journey to value realization.  SE’s work with organizations across industries such as Financial Services, Telecommunications, Technology and Life Sciences understand the business and technical value of representing data using Neo4j graph database and analytics technology. You will grow as a thought leader in graphs and solve our customers’ high-value problems beyond traditional data solutions.

Required Locations -
Bay Area/Southern California 
We will also consider  - Seattle, Denver & Phoenix 

What Success Looks Like:

• Developing and honing subject matter expertise to effectively discern and understand the true needs of our customers, present technology solutions that target those needs, and all in all, demonstrate thought leadership and the value of Neo4j through platform and use case demonstrations, solution architecting, workshops, and conferences.
• Meeting and exceeding regional revenue goals, as a result of helping Sales to qualify and validate opportunities from a technical perspective and accelerate the sales cycle and adoption of Neo4j.
• Collaborating effectively with Sales, Professional Services, Partners, Product Management, etc to deliver continuous value to customers and ensure a seamless customer experience as they embark on the graph journey.

What You’ll Do:

• Confidently articulate the business and technical value of Neo4j to customers and prospects as a key technical advisor and advocate for our products and services
• Actively drive and run the technology evaluation stage of the sales cycles.
• Work across a number of opportunities in parallel and manage day-to-day activities such as opportunity qualification, technical discovery, presentations, platform and use case demonstrations, proof of value, sizing, and documentation of technical decision criteria.
• Build and nurture rapport with customer stakeholders at all levels and be the trusted advisor to them to help them understand what they can achieve with Neo4j.
• Co-create reference and solution architectures with our customers, including integrating Neo4j with their existing architecture and applications within a public cloud (AWS, Azure, or GCP) or on-premise environment.
• Stay current on latest Neo4j capabilities, including but not limited to usage and integration with third-party tools and services.
• Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing, and Sales.
• Help drive demand through the participation in account-based marketing events as well as industry-known conferences and trade shows.
• Lead by example and actively foster an environment of teamwork, transparency, creativity, and continuous improvement.
• Travel as needed to assist in deal creation and closure, and provide support to your team as required.

What You’ll Bring:

• 5+ years of customer-facing experience in a similar capacity (Sales/Presales/Solutions Engineer, Solutions Architect, Technical Consultant, etc), ideally in a similar high-growth, scaling environment.
• Experience working with different data technologies in either of the following areas: enterprise data architecture, data analytics, data science or cloud data architecture.
• Familiarity with graph data technology is essential.  Working knowledge of Neo4j is a strong plus!
• Hands-on experience and proficiency with relational (SQL) and/or NoSQL databases, and at least one of the following languages: Python, Java, JavaScript, Go, C#.
• Successful track record in designing, developing, and implementing data solutions in the public cloud (AWS, Azure, or GCP) or on-premise.
• Ability to engage and communicate ideas to both technical and non-technical audiences at all levels through presentations, whiteboarding, and platform demonstrations.
• Technical savviness and business acumen to translate technical concepts and patterns into valuable business outcomes.
• Passion for learning new technologies (especially graphs!), developing new ways of data modeling, and spearheading change management.
• An entrepreneurial mindset, with the ability to prioritize, pivot, and problem-solve.
  
  
  
  O-2025Q4-AMER25

Software Engineer 

Overview 

We are seeking an experienced Linux Software Engineer to support multi-location project initiatives focused on modernizing software infrastructure. This role emphasizes migrating existing applications and developing new projects within containerized environments and cloud platforms. 

Key Responsibilities 

• Design, develop, and maintain software applications using modern development practices and frameworks 

• Create and manage containerization workflows implementing DevSecOps principles and CI/CD 
  pipelines 

• Plan and execute deployments to Kubernetes clusters, ensuring system stability, scalability, and reliability 

• Facilitate the transition of legacy applications into modern container-based architectures 

Required Qualifications 

• Programming: Strong proficiency in Python for application development and automation scripting 

• Containerization: Hands-on experience with Docker, Podman, and Kubernetes orchestration 

• DevOps Tools: Practical knowledge of Git version control, CI/CD pipeline development, and DevSecOps methodologies 

Preferred Qualifications 

• Cloud Platforms: Demonstrated experience with at least one major cloud provider (AWS, Azure, or GCP) 

• Experience with GitLab and GitLab CI/CD pipeline configuration 

• Proven ability to leverage Al-assisted development tools for code generation and optimization 

• Strong analytical and troubleshooting skills 

• Excellent technical writing skills for creating and maintaining comprehensive documentation 

• Familiarity with Agile development methodologies and project management practices 

The application window will be open until at least April 17, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

This role is not eligible for immigration sponsorship.

At GFiber, our Information Systems and Technology team plays a crucial role in enhancing employee productivity and efficiency across all departments. We are dedicated to delivering quality support while fostering a strong business partnership and ensuring seamless project deliverables. Together,  we focus on delivering innovative solutions that empower our colleagues and drive the organization forward.

Role Description

As a Senior IT Systems Engineer, you will architect and maintain the digital workspace our employees rely on daily. This role oversees the entire lifecycle of corporate applications, from end-to-end deployment and configuration to automated patching and long-term administration. You will manage our Google Workspace environment and support critical office technology, including multi-vendor networking, conferencing, and advanced printing solutions. While possessing deep expertise in software application engineering, you will maintain a robust foundation in full device management to ensure secure and seamless delivery across macOS, Windows, and ChromeOS platforms.

In this role, you'll:

• Manage the enrollment, security posture, and compliance of macOS, Windows, and ChromeOS devices using Microsoft Intune, Google Workspace, and Kandji/Iru to provide a stable platform for application delivery.
• Architect the end-to-end deployment, configuration, and proactive patching strategies for the corporate productivity suite. This includes leading the rollout of new enterprise solutions from initial environment setup through to ongoing maintenance and optimization.
• Deploy and provide advanced support for office technology, including LAN/Wi-Fi networking, Google Meet conferencing/AV systems, and enterprise printing hardware and software.
• Perform administration, strategy, and security hardening for Google Workspace, including advanced mobile device management for Android/iOS and Google Meet integrations.
• Utilize advanced scripting (Python, PowerShell, or GAM) to automate software packaging, agent rollouts (e.g., CrowdStrike, CatchPoint), and system-wide compliance remediation.
• Collaborate with cross-functional stakeholders and vendors to understand business needs and implement scalable software and hardware solutions that streamline corporate operations.

At a minimum we'd like you to have:

• Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent practical experience.
• 8 years of experience as a Systems Engineer in an Enterprise Corporate IT environment.
• 5 years of experience managing Google Workspace at an enterprise level, overseeing Application Lifecycle Management (packaging, deployment, patching), and supporting office networking (Wi-Fi, LAN).
• Experience managing macOS/Apple MDM tools (e.g., Kandji/Iru) and Microsoft Intune.
• Experience deploying applications on premise or software as a service (SaaS). 

It's preferred if you have:

• Professional Google Workspace, Apple, or Microsoft Endpoint related certifications.
• Experience configuring Okta or Entra ID for SAML federation, SSO, and automated user provisioning.
• Experience working with Python, PowerShell, and GCP Cloud CLI for advanced systems automation and API-driven integrations.
• Experience delivering complex technical projects within an Agile environment (e.g., Scrum).
• Ability to use written and verbal communication to explain complex architectural fixes and technical concepts to both technical and non-technical audiences.

The US base salary range for this full-time position is between $136,000 - $169,000 + bonus + cash award + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

#LI-DNI

Linux Platform Engineer 

Overview 

Seeking experienced Linux and platform engineers to design and implement automated IT infrastructure solutions. This role combines hands-on technical work with Al-driven automation to modernize infrastructure management at scale. 

Key Responsibilities 

• Design, implement, and maintain IT infrastructure automation tools integrating with enterprise and custom services 

• Develop and support Python-based infrastructure integration code 

• Build monitoring, metrics, and reporting systems emphasizing actionable insights 

• Implement Al enhancements to IT infrastructure, including MCP integration 

Required Qualifications 

• Strong Python development and scripting experience 

• Proficiency with containerization (Docker, Podman, Kubernetes) 

• Cloud platform experience (AWS, Azure, or GCP) 

• Knowledge of Active Directory, LDAP, and core IT services  

• Knowledge of monitoring tools (Nagios, Zabbix, Prometheus)  

• Experience with Git, CI/CD pipelines, and DevSecOps practices 

Preferred Qualifications 

• Linux system administration background 

• Virtualization platform expertise (VMware, KVM) 

• Understanding of networking, storage, and backup systems 

• Strong problem-solving and communication skills 

• Familiarity with configuration management tools (Puppet, Ansible) 

Linux System Administrator 

Overview 

We are seeking an experienced Linux System Administrator with deep Red Hat expertise to join our infrastructure team. This role combines hands-on technical leadership with systems automation and data center operations, ideal for someone who wants to drive infrastructure excellence while mentoring team members. 

Key Responsibilities 

• Design, implement, and maintain enterprise Linux environments with primary focus on 
  Red Hat Enterprise Linux (RHEL) 

• Develop and maintain infrastructure automation using Puppet, Ansible, or similar configuration management tools 

• Manage physical and virtual server infrastructure across data center environments 

• Lead infrastructure projects from planning through implementation 

• Mentor junior administrators and provide technical guidance to team members 

• Perform hardware installations, upgrades, and troubleshooting in data center facilities 

• Implement security best practices, patch management, and compliance requirements 

• Monitor system performance, capacity planning, and optimization 

• Collaborate with cross-functional teams on infrastructure initiatives 

Required Qualifications 

• 8+ years of Linux system administration experience with strong Red Hat focus 

• Proven experience with automation tools (Puppet, Ansible, Chef, or SaltStack) 

• Hands-on data center experience including hardware installation and troubleshooting 

• 2+ years in a leadership or mentoring capacity (team lead, senior admin, or management) 

• Red Hat Certified System Administrator (RHCSA) or Red Hat Certified Engineer 
  (RHCE) preferred 

• Strong scripting skills (Bash, Python, or similar) 

• Experience with virtualization platforms (VMware, KVM, or similar) 

• Understanding of networking fundamentals, storage systems, and backup solutions 

• Excellent problem-solving and communication skills 

Preferred Qualifications 

• Experience with containerization (Docker, Podman, Kubernetes) 

• Knowledge of CI/CD pipelines and DevOps practices 

• Familiarity with monitoring tools (Nagios, Zabbix, Prometheus, etc.) 

• Experience with cloud platforms (AWS, Azure, GCP) 

While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. #LI-REMOTE

As a Solutions Architect on the Digital Natives team, you will work with the leading data engineering, data science & ML teams in the market to push the boundaries of what big data architectures are capable of. 

Reporting to the Field Engineering Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale. Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable. 

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts.
• Continuously research & learn new technologies and their implementations on Databricks
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
• Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions.
• Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms.
  
  

What we look for:

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in, and debugging, Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities.
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification
  
  

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

CSQ127R318

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

POSITION SUMMARY

The Senior Director, Clinical Data Management will provide strategic and operational leadership for all clinical data management activities across Umoja’s clinical development programs. This role sits within the Clinical organization and is accountable for ensuring the integrity, quality, and regulatory compliance of clinical trial data from protocol development through database lock and regulatory submission.

This individual will lead the planning, execution, and oversight of data management activities, clinical systems, and external vendors, while building scalable processes and capabilities to support a growing clinical pipeline. The role partners closely with Clinical Development, Clinical Operations, Biostatistics, Translational Medicine, Regulatory Affairs, and external partners like CROs to ensure timely delivery of high quality, decision-read‑y‑ clinical data.

This role will be an Individual Contributor and will lead a matrixed team of vendors (CROs) and contractors to start. This person will be responsible for building out a future team.

This role will ideally be based in Seattle, WA or Louisville, CO but can be remote within the US. If remote, travel to Umoja Headquarters will be required at least once per quarter.

CORE ACCOUNTABILITIES

Specific Responsibilities include:
Hands‑On Clinical Data Management Execution (as needed while building CDM team)

• Serve as the primary clinical data management lead for assigned clinical trials, with direct accountability for data quality, timeliness, and inspection readiness from protocol development through database lock.
• Perform detailed protocol review with a focus on data flow, endpoints, data collection strategy, and facilitation of downstream analysis requirements.
• Lead hands-on CRF design and review, ensuring alignment with protocol objectives‑, statistical analysis plans, and regulatory expectations.
• Develop, review, and approve data management plans (DMPs), database specifications, edit check specifications, data transfer agreements, and data review plans.
• Actively participate in EDC system configuration and validation activities, including review of database builds, user acceptance testing (UAT), and system change control.
• Perform ongoing hands-on data review, query trend analysis, and proactive data cleaning to ensure high-quality, analysis ready‑ datasets.

Technical Oversight & Data Quality

• Partner with Clinical Operations and other groups to define and implement data quality standards, reconciliation strategies, and risk based‑monitoring approaches for clinical data.
• Lead hands-on‑oversight of external CROs and vendors delivering data management services, including detailed review of deliverables, issue resolution, and escalation management.
• Directly review and contribute to data listings, data exports, and interim analysis datasets in partnership with Biostatistics and Statistical Programming.
• Ensure clinical trial data is compliant with applicable regulatory requirements, including GCP, ICH, and CDISC standards.
• Support inspection readiness activities by authoring, reviewing, and maintaining data management documentation and responding directly to audit and inspection findings.

Cross Functional Collaboration

• Partner closely with Clinical Operations to align data management activities with study execution, site operations, monitoring strategies, and operational reporting needs.
• Collaborate with Biostatistics and Statistical Programming to ensure smooth handoff of clean, well documented- datasets for analysis and reporting.
• Provide technical data management expertise to Regulatory Affairs in support of clinical study reports, INDs, BLAs, and other regulatory submissions.
• Serve as the clinical data management subject matter‑ expert on study teams, governance forums, and internal reviews.

Process & Systems Ownership

• Own and continuously improve clinical data management processes, tools, and SOPs to support efficient execution in a growing organization.
• Evaluate, implement, and optimize clinical data systems and technologies (e.g., EDC, IRT, eCOA) to enhance data quality, traceability, and scalability.
• Contribute hands‑on to vendor selection, scope definition, and budgeting for data management services and systems.

The successful candidate will have:

• Bachelor’s degree or higher in life sciences, health informatics, computer science, or a related discipline with a minimum of 15 years of experience. Equivalent combinations of education and experience will be considered.
• Significant experience in clinical data management within the biotechnology or pharmaceutical industry, including 8+ years of leadership of data management functions for clinical trials.
• Demonstrated experience overseeing CROs and external vendors delivering clinical data management services.
• Strong working knowledge of clinical trial processes, EDC systems, data standards, and regulatory expectations for clinical data.
• Proven ability to lead teams, manage complex programs, and collaborate effectively in a fast‑paced, matrixed environment.
• Excellent written and verbal communication skills.

Preferred Qualifications:

• Experience supporting oncology and/or cell or gene therapy clinical development programs.
• Experience building or scaling clinical data management capabilities in a growing biotech organization.
• Prior involvement in regulatory submissions and inspection readiness activities.

Physical Requirements

• Preference to work onsite at least 2 days/week in our Seattle, WA or Louisville, CO location. If remote, the ability to travel to Seattle, WA at least once per quarter.
• Ability to sit for prolonged periods of time.

Salary Range: $247,400 - $305,600

We're looking for an Engineering Manager I to lead one of our autonomous feature squads. You'll own the day-to-day engineering leadership of a cross-functional team (1 PM, 1 Designer, 4–5 engineers) responsible for a meaningful area of the Shopmonkey platform. This is not a "project manager with an engineering title" role. You are technical, you are in the code, and you care deeply about how software gets built — not just that it ships. You won't be on the critical path for planned project work, but you'll be deeply involved in guiding your team through every phase of the SDLC: scoping, design, implementation, testing, release, and iteration. Your job is to make your team faster, sharper, and more effective — by coaching, unblocking, and identifying the gaps nobody else sees. You'll also contribute directly to the codebase. Not as a primary feature developer, but as a force multiplier — proactively improving code quality, tackling the work that falls between the cracks, and leading by example when it matters.

Our platform is built on two primary monorepos (backend and frontend) using TypeScript throughout. The stack includes React, Node.js, Next.js, Redux, and Redis on the application side; CockroachDB and ClickHouse for data; Synadia NATS for messaging; and GCP for infrastructure. We use OpenTelemetry and Prometheus for observability, with supporting services in TypeScript and Go. We don't expect expertise across all of these — we're looking for strong fundamentals and the ability to learn quickly.

What you will do:

• Lead a feature squad end-to-end: people, process, and technical direction.
• Own performance management for your engineers — regular 1:1s, growth conversations, honest feedback, and formal reviews.
• Partner closely with your PM and Designer to shape quarterly project plans that balance customer value, technical health, and business impact.
• Guide your team through the full SDLC — you should be competent and opinionated at every stage, from system design through production observability.
• Contribute to the codebase as a technical force multiplier: filling gaps, improving quality, and modeling engineering standards.
• Operate within our quarterly planning and 2-week cycle cadence, helping your squad maintain focus and predictability.
• Build and maintain a healthy remote-first team culture — clear communication, strong async habits, and flexibility balanced against team needs.
• Participate in hiring — sourcing, interviewing, and closing engineering talent for your squad and the broader org.

We are looking for people who have:

• 2+ years of formal engineering management experience, leading a team of software engineers through shipping production software.
• A strong technical foundation — you've built and operated production systems and can earn credibility with senior ICs through your technical judgment.
• Proven ability to coach and develop engineers across multiple levels.
• High emotional intelligence and communication skills. You navigate ambiguity, give hard feedback with care, and build trust quickly — especially important in a remote environment.
• Sound business judgment — you understand why the team is building what it's building, and you push back when priorities don't make sense.
• Experience working in cross-functional product teams (PM, Design, Engineering).
• Comfort with remote-first work across time zones. You value flexibility but put team needs first.

In the United States, the range is typically a salary of $145,000 to $180,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

Dark Wolf is looking for summer interns to join us at our offices in Herndon, VA, Colorado Springs, CO, Omaha, NE or Tampa, FL. Outside of the office, you’ll join a community of interns with access to local networking events, professional development workshops, and the vibrant culture of Dark Wolf, spanning multiple areas. Software Development, Google Cloud Delivery, Data&AI, Cybersecurity and Mission Enablement.

Duration: June 2026 – August 2026

Type: Full-Time Internship (Paid)

Software Delivery and Cloud Internship: 

As an intern in our NoVA technology hub, you will work at the intersection of modern software delivery and emerging intelligence. This role is designed for students who are passionate about building scalable applications, leveraging cloud infrastructure, and implementing data-driven AI solutions. You won't just be shadowing; you will be an active member of an Agile squad contributing to production-level code.

Key Responsibilities

• Software Development: Design, develop, and test features using languages such as Python, Java, or Node.js

• Cloud & Delivery: Assist in deploying applications to cloud environments (AWS, Azure, or GCP) and managing CI/CD pipelines to automate software delivery.

• Data Engineering: Build and optimize data pipelines to ensure high-quality data is available for analysis and model training.

• AI & Machine Learning: Support the integration of Generative AI and LLMs into existing workflows, performing prompt engineering and model fine-tuning.

• Agile Collaboration: Participate in daily stand-ups, sprint planning, and retrospectives to experience the full Software Development Life Cycle (SDLC).

Required Skills & Qualifications

• Current Enrollment: Pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Computer Engineering, or a related technical field at the University of Florida.

• Technical Proficiency: Foundational knowledge in at least one major programming language (Python preferred for AI/Data tracks).

• Problem Solving: Strong analytical skills and a "Go Gator" attitude toward tackling complex technical challenges.

• Communication: Ability to clearly communicate technical concepts to both technical and non-technical team members.

Preferred Experience

• Familiarity with containerization tools like Docker or Kubernetes.

• Knowledge of SQL and NoSQL databases.

• Exposure to AI frameworks such as PyTorch, TensorFlow, or LangChain.

• Previous project work involving cloud-native architecture.

Cybersecurity Academy Internship: 

Are you ready to go beyond the textbook ?

The Dark Wolf Cyber Academy (DWCA) internship is an immersive program designed to turn aspiring students into cybersecurity professionals. Unlike standard internships, we challenge you to navigate the complexities of cybersecurity through three critical lenses: Risk Management, Penetration Testing, and Cyber Engineering. This internship is built for people who want to grow fast.

The DWCA Internship is designed to be cyber intensive where you won’t just talk about security—you’ll build it. This program is structured into dedicated 2-3 week blocks where you work alongside professionals and are exposed to real-world tools and frameworks. From breaking into systems to building resilient cloud architectures, you will gain hands-on experience that bridges the gap between theory and implementation. This internship is designed to help you figure out your path—and give you experience to back it up.

Professional Sprints:

• Pentesting & Offensive Security: Adopt an adversarial perspective to identify and exploit critical vulnerabilities.
• Cyber Engineering: Move beyond policy to practical application by learning to architect and secure cloud environments.
• Risk Management & Compliance: Familiarize yourself with the components of authorization packages through hands-on development activities.
• AI Education & Emerging Tech: Explore the cutting edge of security by analyzing the impact of emerging technologies on modern cyber engineering.

Why DWCA?

• Real-World Impact: Work on a simulation that mirrors industry challenges
• Mentorship: Learn directly from professionals who serve as your dedicated day-to-day coaches
• Career Launchpad: Gain the practical, employable skills that prepare you to stand out in a competitive market

Desired Majors

• Cybersecurity
• Information Security
• Computer Science
• Information Technology
• Information Systems

Desired Skillsets

• Willingness to learn and apply knowledge
• Comfortable communicating and collaborating with teammates and leadership
• Strong problem-solving and analytical skills with attention to detail
• Basic understanding of how cybersecurity protects systems and data (threats, risks, and why security matters)

Google Cloud Delivery Internship: 

Help us build and extend our Secure Cloud Landing Zone (SCLZ) codebase which automates the entire process of fielding an authorized cloud solution from cloud org -> app. Our SCLZ allows DoD & National Security customers to scale their missions securely and efficiently using our IL5 and FedRAMP High P-ATO’d landing zone architecture which provides IAM Best Practices, Tenant Isolation, Shared Services, and monitoring through Infrastructure-as-Code (IAC). In this internship you will work across the core SCLZ codebase and build cloud-native solutions running on top of the SCLZ within Google Cloud in support of Defense and National Security mission use cases.

Skillsets: 

Computer Science, Computer Engineering Majors

• Application Development
• Cloud Infrastructure Engineering
• Developing Zero Trust Cloud Native Apps/Solutions on Google Cloud

Cybersecurity

• Cloud GRC
• Cloud Native Policy as Code
• SecOps

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

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.