What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Install, configure, and maintain AI platform and tools.
• Design, deploy, and operate infrastructure supporting ML and LLM workloads.
• Build, containerize, and deploy AI services using Docker.
• Build and maintain Machine Learning CI/CD pipelines for training, testing, and deployment.
• Deploy and manage AI services across cloud and on-prem environments.
• Automate infrastructure provisioning using Terraform and Infrastructure-as-Code best practices.
• Monitor system performance, reliability, and scalability of AI platforms.
• Implement observability for agentic AI systems to ensure reliability, transparency, and debuggability.
• Perform regular security updates, patching, access control, and vulnerability remediation.
• Integrate AI tools with APIs, data platforms, and internal systems.
• Research, evaluate, and prototype new AI, LLM, and MLOps tools.
• Troubleshoot infrastructure, data, and deployment issues.
• Research, test, and prototype emerging AI technologies.
• Document system architecture, deployment processes, and operational runbooks.

Location & Travel Expectations:

• This role is based out of the Scout Motors corporate headquarters in Charlotte, NC.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
• 7+ years Practical experience with LLM platforms, LLMOps, and MLOps.
• Experience deploying and maintaining AI or data platforms in production.
• Hands-on experience with AI/automation tools.
• Experience designing and orchestrating agentic automation workflows.
• Strong experience with Terraform and Infrastructure-as-Code.
• Proven experience deploying applications using Docker (Docker files, image optimization, container lifecycle).
• Expertise with cloud platforms such as AWS.
• Expertise with CI/CD tooling (GitHub Actions, GitLab CI).
• Strong Knowledge of Kubernetes and orchestration.
• Solid understanding of networking.
• Experience supporting high-availability, production AI systems.
• Scripting skills (Python, PySpark, Bash).
• Knowledge of security best practices, patch management, and access controls.
• Collaborate with engineering, data, and product teams to support AI initiatives.
• Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.
• Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.
• A teaching and coaching approach to guiding engineers and teams in approaches.
• Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Internal leveling code: IC8

Talent Acquisition Manager

Join a High-Growth, Innovative Team

US Conec is seeking a strategic and operationally focused Talent Acquisition Manager to lead recruiting operations, workforce planning initiatives, process improvement efforts, and proactive talent strategies across the organization. This role is ideal for a recruiting leader who thrives in a fast-paced, high-growth technical and manufacturing environment and enjoys building scalable processes, developing recruiting teams, partnering with leadership, and driving operational excellence.

The Talent Acquisition Manager will partner closely with business leaders, HR, and recruiting staff to support current and future hiring needs while enhancing the overall candidate and hiring manager experience. This role will also support select global recruiting initiatives and play a key role in strengthening US Conec’s employer brand and talent infrastructure.

What You’ll Do

Talent Acquisition Leadership & Strategy

• Develop and execute talent acquisition strategies aligned with organizational growth and evolving business needs

• Lead, mentor, and support recruiting team members while driving accountability and operational consistency

• Partner with leadership teams to forecast hiring needs and develop proactive staffing and pipelining strategies

• Design and improve recruiting processes, workflows, and operational procedures to support scalability and efficiency

• Utilize hiring trends, labor market insights, and recruiting metrics to drive strategic decision-making

• Develop talent mapping strategies for critical and hard-to-fill positions

• Optimize utilization of Greenhouse ATS and recruiting technologies to improve reporting, workflow management, compliance, and recruiting effectiveness

• Lead interview training initiatives and partner with hiring teams to develop structured interview processes, scorecards, interview guides, and consistent evaluation methodologies

• Support recruiting initiatives across multiple business functions and select global locations

Recruiting Operations

• Oversee recruiting operations across manufacturing, technical, professional, and leadership positions

• Partner with hiring managers and HR leadership to establish recruiting priorities, timelines, and hiring strategies

• Support offer strategy and hiring recommendations in partnership with HR and business leaders

• Track and report recruiting metrics including pipeline health, source effectiveness, hiring trends, and operational efficiencies

• Drive continuous improvement initiatives related to recruiting operations, candidate experience, and onboarding

• Manage relationships with external recruiting agencies and recruiting partners as needed

Employer Branding

• Partner with Marketing to strengthen US Conec’s employer brand through recruitment marketing initiatives, social media, networking events, career fairs, and community partnerships

• Represent US Conec at recruitment events, university recruiting activities, and industry functions

• Ensure company culture, values, and career opportunities are effectively communicated throughout the hiring process

What We’re Looking For

• Bachelor’s degree in Human Resources, Business Administration, or related field preferred

• 5–10+ years of experience in talent acquisition and recruiting operations

• Experience supporting recruiting operations in a fast-paced, high-growth technical and/or manufacturing environment required

• Experience leading recruiting teams and driving operational excellence across multiple business functions preferred

• Experience supporting recruiting initiatives across multiple sites and/or global locations preferred

• Strong knowledge of workforce planning, recruiting operations, talent mapping, pipelining strategies, and process improvement methodologies

• Advanced experience with applicant tracking systems and recruiting technologies required; Greenhouse ATS experience highly preferred

• Strong analytical, organizational, and communication skills with the ability to influence stakeholders at all levels

• Experience developing recruiting metrics, dashboards, and reporting to support strategic decision-making

Why US Conec?

At US Conec, you’ll have the opportunity to help shape talent strategy for a growing global organization while building scalable recruiting operations that directly impact business success. We are looking for a collaborative leader who is passionate about continuous improvement, operational excellence, and creating an outstanding hiring experience.

Senior Data Engineer – Data Architecture & Platform

CPI Security, a national leader in residential and commercial security solutions, is seeking a Senior Data Engineer transitioning into Data Architecture to join us on our data transformational journey. This unique role combines hands-on data engineering (70%) with architectural design and governance (30%), ideal for a technical expert ready to shape our enterprise data strategy while remaining deeply involved in implementation. You'll work directly with line of business leaders and technical users to architect and build our cloud data warehouse using data vault 2.0 modeling and dbt. This is a technical, hands-on role, not a pure architecture position, where you'll mentor junior engineers on a lean team while personally implementing the solutions you design.

This is an on-site position at our HQ in Charlotte, NC.

What You'll Do

This role balances architectural design with hands-on implementation. You'll spend approximately 70% of your time coding, building pipelines, and implementing solutions, while dedicating 30% to architectural design, standards definition, and technical guidance. On our lean team, everyone contributes technically, this isn't about drawing boxes, it's about designing it AND building it. You must be comfortable in the IDE daily, working alongside engineers and providing mentorship through code reviews, pair programming, and technical guidance.

Data Architecture & Design

Define and document reference architectures, design patterns, and standards for the enterprise data platform. Create technical design documentation, data flow diagrams, and architectural decision records (ADRs) while remaining actively involved in hands-on implementation. Establish data modeling standards, naming conventions, and best practices across the platform.

Architecture Governance

Establish and maintain data modeling standards, design patterns, and architectural guidelines. Review and approve technical designs to ensure alignment with architectural principles and enterprise standards. Collaborate with stakeholders to define data governance policies and ensure compliance with security requirements.

Technical Mentorship & Collaboration

Provide architectural guidance and hands-on mentorship to engineers through code reviews, pair programming, and technical design sessions. Share expertise in data vault modeling, dbt development, and cloud data engineering best practices. Foster a culture of technical excellence and continuous learning within the team. Work collaboratively on our small team where everyone contributes to solving complex technical challenges.

Data Vault Implementation

Design and implement data vault 2.0 modeling patterns to build a scalable, audit-friendly enterprise data platform that supports business agility and data governance.

Modern Data Engineering

Build and maintain automated data pipelines using dbt (Cloud/Core), Python, and Snowflake to transform raw data into business-ready datasets with comprehensive data quality testing.

Cloud Data Platform Development

Architect and implement an enterprise data platform on Snowflake, including automated deployment pipelines, data quality frameworks, and monitoring solutions. While we are modernizing to a cloud data platform, on-premises work is still needed using SSIS and MSSQL Server during the migration phase.

Data Mart & Dimensional Modeling

Design and build data marts using dimensional modeling techniques (Kimball methodology) to support business intelligence and analytics requirements.

ETL/ELT Pipeline Development

Design and implement robust data transformation models using dbt, SQL, and Python to build scalable ingestion and processing pipelines.

Data Quality & Testing

Implement comprehensive data quality testing frameworks using dbt tests, custom Python validations, and automated monitoring to ensure data accuracy and reliability.

External Data Integration

Integrate and operationalize data from external systems such as CRM, ERP, and third-party platforms via secure cloud data sharing, CDC, and APIs.

DataOps Implementation

Enable reliable, scalable, and automated data workflows by implementing DataOps best practices for continuous integration, testing, deployment, and monitoring across the data pipeline lifecycle. Establish and maintain Snowflake security governance through role-based access control (RBAC), including the design and management of role hierarchies, privilege grants, and object-level permissions to enforce least-privilege principles across all data assets. Define and enforce data access policies for users, service accounts, and downstream consumers by leveraging Snowflake's virtual warehouses, resource monitors, row-level security, and dynamic data masking to ensure compliant and auditable data access at scale.

Cloud Migration Support

Play an integral role in planning, designing, and implementing data migration strategies from legacy on-premises SQL Server systems to our modern Snowflake cloud platform.

What We're Looking For

Required Experience

• 6+ years of data engineering experience with cloud data platforms
• 4+ years of experience with Snowflake (required)
• 4+ years of experience with dbt (Cloud and/or Core)
• 4+ years of Python development experience
• 4+ years of AWS experience (AWS Certified Developer preferred)
• 6+ years of experience building data warehouses and data marts
• Experience using Data Vault 2.0 modeling methodology
• Strong experience with dimensional modeling (Kimball methodology)
• Proven experience with automated deployment and CI/CD pipelines
• Experience implementing data quality testing frameworks
• Experience designing data architectures and creating technical documentation (data models, architecture diagrams, design patterns, ADRs)
• Proven ability to balance architectural thinking with hands-on implementation
• Experience mentoring and guiding junior/mid-level engineers through technical collaboration

Technical Skills

• MSSQL Server SQL and SSIS
• Advanced SQL and data modeling expertise with dimensional modeling and data vault modeling
• Strong dbt skills for data staging, cleaning, transformation, testing, and modeling
• Proficiency in Python programming for data engineering tasks
• Experience with agile/scrum teams for data engineering and analytics engineering
• AWS cloud services (S3, Lambda, IAM, CloudFormation, etc.)
• Experience with data orchestration tools (Airflow, Prefect, or similar)
• Understanding of modern data engineering practices and agile methodologies
• Knowledge of data governance, security, and compliance requirements

Preferred Qualifications

• AWS Certified Developer certification
• Snowflake certifications in data engineering and/or architecture
• Experience with data vault automation tools (automate-dv package)
• Knowledge of modern BI and analytics platforms

Soft Skills

• Excellent oral and written communication skills to effectively deliver messages to a wide range of audiences, from business to technical
• Innovative and positive team member mindset
• Strong teamwork and interpersonal skills, with the ability to deliver results working independently or in a collaborative environment
• Agile development experience preferred
• Solution-oriented approach with strong problem-solving abilities

Education

• Bachelor's degree in Information Systems, Computer Science, Data Science, or related field of study preferred
• Work experience equivalent will be considered

What Sets You Apart

• Deep understanding of the complete data engineering lifecycle
• Architectural design experience combined with strong implementation skills
• Experience with cloud data platform implementations and migrations
• Proven ability to work with cross-functional teams and stakeholders
• Passion for building modern, cloud-first data solutions
• Strong analytical and critical thinking skills
• Commitment to data quality and best practices

Why Join CPI Security

• Opportunity to architect and build a modern enterprise data platform during an active transformation
• Work with cutting-edge cloud technologies and data vault modeling
• Lead technical design while remaining hands-on with implementation
• Collaborative environment with experienced data professionals on a lean, high-impact team
• Competitive compensation and benefits package
• Professional development opportunities and certification support
• On-site position in Charlotte, NC with a dynamic, growing company

CPI Security is an equal opportunity employer committed to diversity and inclusion in the workplace.

Role

We are looking for a Staff Site Reliability Engineer to join our team. This role will report to the Senior Manager, Site Reliability Engineering and offers the flexibility of hybrid (3 days a week) out of San Jose, CA, or can be performed fully remote. 

As a key member of the Zero Trust Exchange team, you will be responsible for all aspects of the Zscaler production data center services, including servers, operating systems, storage, and supporting systems. You will be an instrumental part of the Site Reliability Engineering team, ensuring the availability, latency, performance, efficiency, and scalability of a cloud that processes tens of billions of transactions daily.

What you’ll do (Role Expectations)

• Own the reliability of a large-scale cloud service (Linux/BSD, bare metal, Kubernetes, custom load balancing, SD-WAN) by partnering with Engineering and Network teams to define requirements early, conduct operability reviews, and contribute code/design docs for platform resilience
• Develop and operate end-to-end observability (metrics/logs/traces, dashboards, alerting) and incident tooling to manage SLOs/error budgets, reduce noise, and improve system detection and diagnosis
• Participate in an on-call rotation to lead full-cycle incident response; perform deep cross-stack troubleshooting (OS, networking, distributed systems, packet captures, core dumps) to drive permanent software fixes and codify learnings into runbooks and tests
• Build and maintain everything-as-code for fleet and service lifecycle, driving provisioning, configuration, release automation, canary deployments, and complex rollout/rollback workflows
• Continuously improve platform hygiene through consistent OS/app upgrades, dependency/vulnerability patching, capacity and performance tuning, and strict CI/CD validation prior to production rollouts

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 operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.

What We’re Looking for (Minimum Qualifications)

• US Citizenship is required (due to the nature of assigned customers) and 5+ years industry experience in software engineering, infrastructure software, and/or platform engineering
• Proficiency in at least one programming language (such as Python, Bash, or Go) with demonstrated ability to write production-quality code (testing, code reviews, CI, maintainable design,scripting for diagnostics
• Strong Linux/Unix systems fundamentals (process/memory, filesystems, networking stack basics, debugging/perf troubleshooting) and solid understanding of networking protocols and components (e.g., HTTP, DNS, TCP/IP, ICMP, OSI model, subnetting, and load balancing/traffic concepts)
• Proven experience operating production services (including incident response, troubleshooting, reducing toil) and ability to participate in on-call rotations and support occasional after-hours or weekend deployments
• Managing BSD in production, with a focus on driving systemic fixes through platform engineering

What Will Make You Stand Out (Preferred Qualifications)

• Proven expertise in operating Kubernetes at scale
• Deep experience with the Prometheus/OpenTelemetry ecosystems, including instrumenting golden signals, defining SLOs, and performing alert tuning to ensure high-availability environments

#LI-KM9 #LI-Remote

Environmental Health & Safety Coordinator - Ergonomics

Overview:

US Conec is seeking an EHS & Ergonomics Coordinator to support and drive safety, health, and ergonomic initiatives across our manufacturing environment. This role plays a key part in reducing risk, preventing injuries, and promoting a strong safety culture through hands-on partnership with operations, engineering, and leadership.

Responsibilities:

• Support and maintain EHS programs in compliance with OSHA and environmental regulations
• Conduct safety inspections, risk assessments, and ergonomic evaluations
• Investigate incidents and near-misses; identify root causes and implement corrective actions
• Recommend and implement improvements to reduce injuries and enhance workplace ergonomics
• Track and analyze safety data and KPIs to drive continuous improvement
• Deliver safety and ergonomics training to employees and leadership
• Partner cross-functionally to ensure safety is embedded in equipment, processes, and workflows
• Support injury prevention, return-to-work efforts, and industrial hygiene initiatives

Must Haves:

• 2–5 years of experience in EHS, ergonomics, or a manufacturing environment
• Knowledge of OSHA regulations and ergonomic principles
• Experience with safety inspections, incident investigations, and risk assessments
• Strong problem-solving and analytical skills
• Ability to communicate and influence across all levels of the organization

Nice to Haves:

• Bachelor’s degree in Safety, Ergonomics, Industrial Engineering, or related field
• Experience with EHS systems or safety tracking tools
• Background in industrial hygiene or injury prevention programs

About the opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports organization-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven manager who is passionate about solving complex security problems in innovative and scalable ways. As a Manager of Security Engineering, you will own security engineering across Contentful’s corporate systems, including the tooling and platforms that support the internal security team. While this role does not own security for the customer facing product, you will partner closely with product security teams within the security organization on shared responsibilities.

You will balance people leadership with hands-on technical execution, including designing, building, and operating security controls and tooling at scale, with a particular focus on areas such as identity and access management, data security, and SaaS platforms. You will provide strategic guidance and lead initiatives while remaining directly involved in implementation. You may work independently at times, but will more often collaborate closely with security, IT, and cross-functional partners to align strategies, execute shared initiatives, and ensure comprehensive risk mitigation while minimizing impact on end users across the organization.

What to expect?

• Develop a team, providing coaching, mentorship, goal setting, and performance feedback.
• Define roles and make hiring decisions to grow the team in line with department needs.
• Remain hands on, balancing technical leadership with direct implementation work.
• Own execution and prioritization across projects and operations, using agile delivery practices.
• Scale and mature effectiveness and efficiency by improving processes and tooling.
• Champion continuous improvement across all aspects of the security program.
• Continuously improve effectiveness and efficiency by evolving processes and tooling.
• Communicate risks and technical concepts with clarity to leadership and stakeholders.
• Collaborate with security leadership to execute business aligned, risk reduction roadmaps.
• Shape work scope, sequencing, and success criteria inline with department and company needs.
• Drive security processes, standards, and best practices across information technology assets.
• Partner with stakeholders to evolve security awareness and specialized training across all functions.
• Mature capabilities across endpoint, SaaS, and cloud configuration.
• Own strategy evolution of corporate capabilities, including configuration, IAM, and data security.
• Enhance tooling, automation, and integrations to improve visibility and reduce manual effort.
• Support and guide security incident response efforts as a technical leader.
• Support cross functional vulnerability management while advancing the program capabilities.
• Define and maintain metrics to measure impact, optimize execution, and guide investment.
• Partner with cross-functional teams for security enhancement and drive risk reduction.
• Accelerate adoption of AI, balancing practicality enablement, and risk management.
• Stay current on threats, vulnerabilities, and tactics, translating insights into actionable strategies.

What you need to be successful?

• 8+ years of progressive engineering and security experience.
• 3+ years managing people and security engineering teams.
• Comfort operating in ambiguity, balancing strategic thinking, security, and practicality.
• Expertise with AWS, GCP, and Azure.
• Strong hands-on experience designing, implementing, and operating security controls at scale.
• Demonstrated experience securing endpoint, SaaS, and cloud environments.
• Experience working within identity and access management and data security programs.
• Software development experience in modern programming language (Python, Go, etc)
• Hands-on experience using Terraform and infrastructure-as-code.
• Experience applying modern practices to improve efficiency and scalability or security programs.
• Passion for solving complex security problems in innovative and scalable ways.
• Experience using metrics to measure impact, optimize execution, and guide investment decisions.
• Strong communication skills with the ability to explain technical topics to non technical audiences.
• Ability to support occasional off-hours incident response efforts.
• Familiarity with attacker techniques in cloud-native and traditional environments.
• Hands-on experience owning security technologies (e.g., EDR, AntiVirus, etc.)
• Proven ability to lead cross-functional initiatives and influence outcomes without direct authority.
• Experience owning end to end security programs, proactively driving incremental improvement.
• Strong systems thinking, with the ability to design security solutions that scale through efficiency.

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.

#LI-Remote

About the Opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports corporate-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven Security Engineer with experience working in cloud-native product infrastructure and corporate environments. In this role, you will manage daily alerts and operations while leading broader collaborative initiatives, such as architecture design, threat modeling, and vulnerability identification, to drive meaningful security improvements. Candidates should be skilled in cloud-native technologies, with demonstrable proficiency in infrastructure-as-code and application development.

This hands-on role offers an opportunity to grow your expertise in cloud technologies and security tooling while making a meaningful impact by embedding security practices and supporting secure third-party integrations in a fast-paced software-as-a-service environment.

What to Expect

• Lead initiatives and partner with teams to embed practical security safeguards and champion a security-first mindset across the business.
• Lead security assessments and remediation for cloud-native applications, infrastructure, and vendor integrations to proactively identify and address risk.
• Support vulnerability management by identifying, tracking, and partnering with teams to drive remediation of security issues across product and corporate environments.
• Develop and maintain security solutions through custom development and effective tool management to enhance efficiency and operational effectiveness.
• Leverage industry standards to develop hardening requirements and monitoring mechanisms that enforce and strengthen the security of systems and environments.
• Advance the development, customization, and maintenance of hardening standards and monitoring mechanisms for systems and environments.
• Drive security and monitoring enhancements to containerized workloads and orchestration platforms.
• Participate actively in incident investigations through independent analysis, contributing to findings, root cause analysis, and remediation efforts.
• Collaborate in defining and monitoring evolving security compliance and regulatory requirements.
• Research and evaluate emerging threats, vulnerabilities, and security technologies to keep defenses up to date.

What You Need to Be Successful

• 4+ years of security engineering, DevSecOps, or equivalent experience.
• Hands-on expertise with AWS architecture, services, and security features.
• Proficiency in Python to build and maintain security tools.
• Familiarity with Kubernetes and container security, including configuration and runtime protection.
• Exposure to JavaScript and Go with the ability to perform security code reviews.
• Experience using Terraform to build, deploy, and maintain infrastructure as code.
• Strong foundational networking knowledge covering cloud networking concepts, the OSI model, TCP/IP, and routing fundamentals.
• Demonstrable ability to embed security considerations throughout the software development lifecycle.
• Hands-on involvement supporting vulnerability management and incident response functions.
• Familiarity with authentication and authorization protocols and mechanisms (OAuth, SAML, JWT, IAM)
• Experience identifying and mitigating OWASP Top 10 vulnerabilities in web applications and APIs.
• Clear and effective communication skills.
• Ability to articulate security risks and tradeoffs to both technical and semi-technical audiences.
• A proactive, growth-oriented mindset focused on continuous learning, innovation, and raising security standards.
• Passionate about designing and performing hands-on implementation work.
• Ability to work in a fast-paced environment, often juggling multiple projects.

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.

What We Offer

• Competitive base salary with performance-based bonus potential

• 4 weeks of PTO

• Health, dental, and vision plans

• 401(k) retirement savings plan with employer match and planning resources

• Collaborative, team-based culture that fuels innovation

• Paid time off, holidays, and employee recognition programs celebrating your achievements

• Community engagement and STEM outreach opportunities to give back locally

What We Offer

• Competitive base salary with performance-based bonus potential

• 4 weeks of PTO

• Health, dental, and vision plans

• 401(k) retirement savings plan with employer match and planning resources

• Collaborative, team-based culture that fuels innovation

• Paid time off, holidays, and employee recognition programs celebrating your achievements

• Community engagement and STEM outreach opportunities to give back locally

Global Presales team

The Global Presales organization at Okta brings together a diverse group of experts, including Solutions Engineers, the Office of the Field CTO, Alliances, Architects, and more, who combine deep technical expertise with strategic business insight. This team serves as trusted advisors to a wide range of customers and partners, helping them unlock the full potential of Okta’s Identity Platform. By asking insightful questions, understanding complex challenges, and delivering tailored solutions, we empower organizations to address their unique identity needs. Empathy, collaboration, and a relentless focus on customer success drive our work and set us apart.

Identity Senior Solution Specialist -Endpoint & Identity Security

As an Senior Solution Specialist, you will be part of the presales team that delivers sales presentations and product demonstrations to educate customers on the best ways to implement Okta identity and access management solutions. You will report to the Senior Manager in the OFCTO organization. 

What you’ll be doing 

1. Strategic Customer Engagement:
• Support strategic customer conversations aligning with technical and engineering leaders and stakeholders.
• Deliver on emerging trends, industry best practices, and identity-driven digital transformation.
• Assist in preparing executive-level messaging and participate in strategic discussions to align Okta’s solutions with customer business outcomes.
• Develop customer-centric points of view that translate Okta’s solutions to customer problems.
• Lead technical discovery sessions with security and infrastructure leaders to uncover challenges related to endpoint security, passwordless adoption, and identity threat vectors.
• Deliver compelling, customized demonstrations and architectural sessions focused on Okta Device Access (including Okta FastPass, Desktop MFA) and our Identity Threat Protection capabilities.
• Design and execute outcome-focused Proof of Concepts (POCs) that prove Okta’s value in preventing account takeovers and securing access from any device.
• Maintain a broad and deep technical understanding of the Okta identity product lines and the underlying technologies and protocols
• Craft engaging solution content to position Okta’s value across multiple business units, including software engineering, operations, product management, and business stakeholders
2. Technical Leadership:
• Provide strategic and technical guidance to Solutions Engineering teams across both the Okta and Auth0 identity platforms.
• Collaborate with the Global Office of Field CTO office team to deliver actionable insights from the field, validate customer needs, and identify recurring trends for the Okta Product & Engineering teams.
• Deliver impactful keynote presentations, webinars, and technical sessions at industry and customer events.
3. Field Enablement and Collaboration:
• Contribute to frameworks, tools, and content to support Solutions Engineering teams in executing effectively.
• Partner with sales leadership to identify and address critical business opportunities and challenges.
• Drive cross-functional collaboration to ensure seamless execution of global initiatives.
• Innovate in tools and techniques to drive excellence and momentum
• Partner with Enablement and Field CTO teams to drive regional events and align product messaging for regional GTM and SE teams.
4. Market Influence:
• Represent Okta as a thought leader in the identity and security space.
• Influence industry standards and participate in relevant technical advisory boards.
5. Innovation and Strategy:
• Partner closely with OFCTO teams as an advocate for customer-driven innovation, market trends, and GTM insights to provide input to influence product teams.
• Support, derive, and champion strategic initiatives that enhance Okta’s differentiation and business impact.

Position Requirements:

Identity & Directory Services Mastery

• Deep Infrastructure Knowledge: Expert-level understanding of Active Directory (AD) and Azure AD (Entra ID) or similar, including Group Policy Objects (GPOs), Kerberos, and OIDC/SAML protocols.
• Multi-IdP Ecosystems: Proficiency in managing and securing diverse Identity Providers (IdPs) like Okta, Ping Identity, and Google Workspace.
• Hybrid Identity: Experience managing the complexities of identity synchronization between on-premises environments and the cloud.

Device Identity & Access Management Mastery

• Passwordless Expertise: Deep, hands-on knowledge of FIDO2/WebAuthn, Passkeys, and implementing passwordless authentication strategies using solutions like Okta FastPass.
• Endpoint & Device Context: Strong understanding of Desktop MFA, device registration, and leveraging device posture signals from MDM/UEM (e.g., Jamf, Intune, Workspace ONE) and EDR (e.g., CrowdStrike) platforms to enforce risk-based access policies.
• PKI & Certificate Management: Familiarity with certificate-based authentication and its role in establishing device trust.
• Identity Threat Detection & Response (ITDR)
• Threat Landscape Knowledge: A thorough understanding of modern identity attack vectors, including phishing, token theft, MFA bypass techniques, and lateral movement.
• Behavioral Analysis: Experience with User and Entity Behavior Analytics (UEBA) and the ability to interpret threat signals to detect and respond to suspicious activity.
• Security Ecosystem Integration: Proficiency in designing solutions that integrate identity platforms with SIEM (e.g., Splunk, Sentinel) and SOAR tools for automated threat response.

• Strong communication and presentation skills, with experience contributing to technical events.
• Travel expectation: up to 40% for customer meetings, industry events, and internal off-sites.
• This is a remote position.

And extra credit if you have experience in any of the following! 

• Hands-on experience with Okta's Threat Protection suite (e.g., suspicious activity reporting, risk-based authentication).
• Experience with other ITDR vendors or device access solutions.

• Certified Identity Professional (CIDPRO), CISSP, CCSP, or CISM.
• Scripting or automation skills (e.g., Python, PowerShell) for security integrations.

#LI-Remote

SSP4CM

P212832

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation.  Solutions Engineers are experienced in using presentations, email, phone, and social media to connect with customers virtually and in person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to educate Okta’s Customers (from developers to product managers to C-level executives) on best practices throughout their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager, Solutions Engineering, the Solutions Engineer is a functional business consultant who will partner with Commercial Account Executives and have  a passion for technology and the advanced ability to develop, position, and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing

• Work alongside the Corporate/Expansion (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues, and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners, and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and reusable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events, including executive briefings, conferences, user groups, and trade shows

What you’ll bring to the role

• 5+ years of pre-sales engineering experience, selling SaaS products.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications.
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Exceptional communicator.
• Confidently dispensing knowledge to highly-skilled and experienced audiences.
• Typically, 25% travel.
• A bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.

You might also have (not mandatory):

• AI & Emerging Tech: Expertise with Agentic AI and LLM-based workflows. You understand the use cases for AI agents, both internal and external, and have familiarity with MCP servers.
• Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Experience in the IAM space

#LI-Remote

#LI-CM

P9259_3401412

What We Offer

• Competitive base salary with performance-based bonus potential

• 4 weeks of PTO

• Health, dental, and vision plans

• 401(k) retirement savings plan with employer match and planning resources

• Collaborative, team-based culture that fuels innovation

• Paid time off, holidays, and employee recognition programs celebrating your achievements

• Community engagement and STEM outreach opportunities to give back locally

What We Offer

• Competitive base salary with performance-based bonus potential

• 4 weeks of PTO

• Health, dental, and vision plans

• 401(k) retirement savings plan with employer match and planning resources

• Collaborative, team-based culture that fuels innovation

• Paid time off, holidays, and employee recognition programs celebrating your achievements

• Community engagement and STEM outreach opportunities to give back locally

What We Offer

• Competitive base salary with performance-based bonus potential

• 4 weeks of PTO

• Health, dental, and vision plans

• 401(k) retirement savings plan with employer match and planning resources

• Collaborative, team-based culture that fuels innovation

• Paid time off, holidays, and employee recognition programs celebrating your achievements

• Community engagement and STEM outreach opportunities to give back locally

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.

What We Offer

• Competitive base salary with performance-based bonus potential

• 4 weeks of PTO

• Health, dental, and vision plans

• 401(k) retirement savings plan with employer match and planning resources

• Collaborative, team-based culture that fuels innovation

• Paid time off, holidays, and employee recognition programs celebrating your achievements

• Community engagement and STEM outreach opportunities to give back locally

Machining Technician – Hickory, NC

Overview

US Conec is seeking a skilled Manufacturing Machining Technician to join our RD&E team. In this role, you’ll provide hands‑on support for production and engineering projects, specializing in precision machining of mold components and advanced technologies such as Single Point Diamond Turning (SPDT), Wire EDM, and Hole Driller EDM. You’ll play a critical role in turning engineering designs into ultra‑precise parts, supporting product development, and ensuring the highest quality standards. Prior experience with advanced high precision machinery is not required; we will train the right person!

Responsibilities

• Program and operate multi‑axis machining equipment, Wire EDM, Hole Driller EDM, SPDT machines, and surface grinders for high‑tolerance features.
• Create and optimize CAM programs (ESPRIT) using 3D CAD (AutoDesk Inventor) and GD&T.
• Perform ultra‑precision gauging and dimensional verification with accuracies to 0.0001 mm.
• Inspect mold tooling and components using precision measurement systems; analyze and communicate results to guide team decisions.
• Support engineering projects and provide technical assistance to production teams.
• Establish and maintain preventive maintenance programs for machining equipment.
• Perform or coordinate equipment repairs as needed.
• Assist with product and process qualifications in collaboration with Product Development and Quality Assurance.
• Document activities, collect data, and prepare reports to support continuous improvement.

Must Haves

• Associate degree in Mechanical or Electrical Engineering, or equivalent hands‑on experience.
• 3+ years of experience in machining processes.
• Ability to read and interpret complex engineering drawings.
• Proficiency in CAD/CAM programming, including generating and modifying G‑code.
• Strong troubleshooting, prioritization, and process improvement skills.
• Strong written and verbal communication skills.

Nice to Haves

• Experience with thermoplastic or thermoset molds and molding equipment.
• Precision machining experience with SPDT, Wire EDM, Hole Driller EDM, and high‑accuracy CNC equipment.
• Background in hydraulic, pneumatic, and/or electronic systems repair.
• Knowledge of experimental design, data analysis, and statistical quality control techniques.
• Proficiency in Microsoft Office Suite and related software.
• Prior experience in a product development or R&D lab environment
• Familiarity with precision metrology instrumentation and ability to inspect very small components (down to 125 microns).

What We Offer

• Competitive base salary with performance‑based bonus potential.
• 4 weeks of PTO plus paid holidays.
• Comprehensive health, dental, and vision coverage.
• 401(k) retirement savings plan with employer match.
• A collaborative, team‑based culture that values innovation and precision.
• Opportunities to work with cutting‑edge machining technologies and global engineering teams.
• Recognition programs and professional development opportunities.

Production Support Associate - M- Thursday 4pm-2am

Overview

US Conec is seeking a detail-oriented Production Support Associate to join our team in Hickory, NC. In this role, you’ll support manufacturing and operations by preparing, assembling, polishing, inspecting, and measuring molded ferrules to ensure they meet performance and quality standards. You’ll work hands-on with fiber optic components and precision tools, helping to identify defects, analyze data, and collaborate across departments to drive continuous improvement.

Responsibilities

• Prepare fiber optic connectors, ferrules, and assemblies for inspection and testing.
• Perform ferrule length and end-face geometry measurements on connectors.
• Conduct initial optical performance testing and communicate findings with the Production Support Technician.
• Accurately record and document test results using Microsoft Excel.
• Ensure all work complies with company policies, safety standards, and applicable regulations.
• Read and follow technical drawings, layouts, and manuals to ensure accurate work and assembly.
• Operate cable cutting machines to cut fiber optic ribbons and cables to specified lengths.
• Perform precise measurements using micrometers, interferometers, and inspection scopes.
• Maintain laboratory tools, equipment, and workspaces in a clean, safe, and organized condition.

Must Haves

• High school diploma or GED required; Associate degree in a technical field preferred.
• Experience in measurement, quality control, or manufacturing environments.
• Background in fiber optics or electronics manufacturing preferred.
• Strong verbal communication and math skills to interpret instructions and verify part counts.
• Excellent attention to detail and strong problem-solving abilities.
• Ability to work independently and collaboratively in cross-functional teams.
• Proficiency with Microsoft Excel and Outlook.
• Manual dexterity and visual acuity required for precision work.
• Ability to regularly lift and move up to 10 lbs.

What We Offer

• Competitive base salary with performance-based bonus potential.
• 4 weeks of PTO to relax and recharge.
• Health, dental, and vision plans to support you and your family.
• 401(k) retirement savings plan with employer match and planning resources.
• A collaborative, team-based culture that fuels innovation.
• Paid holidays and employee recognition programs to celebrate your achievements.
• Community engagement and STEM outreach opportunities to give back locally.

Joining Collibra’s Education team

You will join the Education team within our Professional Services organization, reporting directly to our Director of Education. Our mission is to empower and inspire Data Citizens by delivering seamless learning experiences that drive long-term customer success. As our Learning Systems Engineer, you are the bridge between education and innovation, tasked with optimizing our platforms to ensure our global users can navigate their Data Intelligence journey without friction.

In this role, you’ll embody our value "Our customers are our true north" by using your technical expertise in APIs and automation to remove learning barriers. Every workflow you build and every system optimization you implement is designed with one goal: ensuring our customers have the most efficient, intuitive path to mastering Collibra.

This is a hybrid role based in our Raleigh office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

Learning Systems Engineers at Collibra are responsible for

• Manage and optimize our external-facing Learning Management System (LMS) and connected integrations in order to deliver a seamless, high-performance user experience for our global customers.
• Architect and monitor the education data pipeline from the LMS to our data lake in order to ensure high-quality metadata extraction and reporting accuracy for stakeholders.
• Automate core learning operations, including badge issuance and certification enrollments, in order to scale program delivery and reduce manual intervention for the Education team.
• Implement AI-driven solutions and advanced workflows in order to provide deeper customer insights and personalize the learner journey at scale.
• Analyze and resolve complex technical support tickets in order to identify root causes and proactively improve platform stability and user satisfaction.

You have

• 3+ years of experience managing and optimizing enterprise LMS platforms (direct experience with Docebo is a significant plus).
• Proven technical proficiency with REST APIs or Python for systems integration and task automation.
• Hands-on experience building automated workflows using middleware tools such as Zapier or Workato.
• Demonstrated experience managing learning data pipelines, including data extraction, metadata mapping, and analytics reporting.
• A Bachelor’s degree in Computer Science, Information Systems, Educational Technology, or equivalent professional work experience.
• This position is not eligible for visa sponsorship.

You are

• A methodical problem-solver who analyzes complex technical issues with an investigative mindset to identify root causes and implement sustainable solutions.
• A clear and patient communicator who applies a high degree of empathy when translating technical system logic into understandable guidance for both internal and external stakeholders.
• An innovation-driven technologist who possesses an insatiable curiosity for emerging tools, specifically in how AI and LLMs can be applied to revolutionize traditional learning operations.
• A detail-oriented data steward who maintains meticulous standards when auditing data pipelines and system metadata to ensure reporting remains the "true north" for the organization.
• An agile collaborator who demonstrates a proactive and iterative approach to process improvement, balancing developer-level logic with the mission of an educator.

Measures of success

• Within your first month, you will be onboard into the Docebo LMS, master the data pipeline, and take ownership of technical support tickets to identify and resolve common user pain points.
• Within your third month, you will drive operational efficiency by implementing automations, auditing data for reporting accuracy, and collaborating with the Data and Automation teams to align on learning processes
• Within your sixth month, you will scale the platform's architecture and pilot AI-driven enhancements to improve the learner experience while delivering measurable improvements in system performance and support efficiency.

Compensation for this role

The standard base salary range for this position is $96,000.00 - $120,000.00  per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.

In addition to base salary, we offer a competitive total rewards package, including bonus potential, equity for eligible roles, a Flex Fund monthly stipend, pension/401k plans, and more.

Joining Collibra’s Customer Support Team

Collibra is looking for a Senior Customer Support Engineer II to identify code defects in Collibra’s software platform based on your investigation of customer-reported problems.

The Customer Support  Team responds to customer issues, identifies the root cause and applies workarounds. Reporting to the Customer Support Manager, you will be part of a growing team of engineers focused on improving customer satisfaction.

As an engineer, you will focus on the edge cases, the “what if”. We need your knowledge to find the root causes and we need your experience and skill-set to resolve them.

This is a hybrid role based in our Raleigh office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

Senior Customer Support Engineers at Collibra are responsible for

• Analyzing complex customer issues to determine the root cause.
• Improving observability by identifying logging and monitoring improvements and unblocking customers using our software.
• Collaborating across Collibra’s Product Engineering teams to understand unclear functional requirements.

You have

• Professional experience including the following:
• 2+ years of experience developing Java-based applications (Scala is a plus).
• 2+ years of experience developing enterprise grade Python applications leveraging APIs.
• 2+ years of experience with SQL data sources.
• UNIX, Docker, and networking (TCP/IP, TLS) experience are a plus.
• Knowledge of OO principles, Design Patterns, Test-Driven Development and clean code principles.
• Experience maintaining software running in production.
• A bachelor’s degree or equivalent work experience is required.

You are

• An investigator, excited by the challenge of looking for bugs and resolving them.
• Focused on quality and knowledge of “how” something works, especially what to test in order to execute change with confidence.
• Comfortable speaking and writing in English. We are a global team!
• Because this role supports the U.S. Government, it is required that this candidate be a U.S. Citizen who resides on U.S. soil.
• Willing to be on-call as part of our L3 on-call rotation for product releases and priority issues.
• Motivated by the challenge of scaling a growing company.
• Collaborative - we work cross functionally with many other teams.

Reporting to Collibra’s Manager, Customer Support your measures of success are

• Within your first month, you will gain an understanding of the Collibra application ecosystem, our personas and the most common user workflows associated with them.
• Within your third month, you will be an active member of our team, and be comfortable investigating issues on your own.
• Within your sixth month, you will be interacting with other engineering teams to discuss improvements. You will have a broad understanding of the use cases our application provides and detailed understanding in some of the more complex parts of the system.

Compensation for this role 

The standard base salary range for this position is $104,000 - $130,000  per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.

In addition to base salary, we offer equity ownership at every level, bonus potential, a Flex Fund monthly stipend, pension/401k plans, and more.

Joining Collibra’s Customer Experience Testing Team

We're looking for a talented Software Development Engineer in Test (SDET) who will play a crucial role in ensuring the quality, scalability, and reliability of our software applications. In this role, you will work autonomously to drive quality initiatives, advocate for a shift-left testing approach, and consistently meet high-performance standards.  You will be responsible for testing the installation and deployment of software across multiple cloud providers, as well as  defining, creating, and executing both manual and automated tests for complex customer user journeys. You will experiment with a variety of testing tools, promote quality awareness across the Product and Engineering organization, and build scalable pipelines and frameworks that align with our business environment.

This is a hybrid role based in our Raleigh office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

SDETs at Collibra are responsible for

• Defining, creating, and executing manual and automated tests for customer user journeys, ensuring they accurately reflect real-world customer use cases.
• Using, developing, and executing robust automation scripts and scalable frameworks (rather than relying solely on out-of-the-box tools) using Cypress, Playwright, Rest Assured, JMeter, and Selenium.
• Building, maintaining, and integrating automated tests into CI/CD pipelines using GitHub Actions and Jenkins, while managing test environments with containerization technologies (Docker, Kubernetes, Helm).
• Combining strong coding skills with exploratory and manual testing sessions to catch edge cases that automation might miss. You will also define, create, and maintain complex test data.
• Utilizing observability tools (Grafana, Datadog) to analyze test results, identify bottlenecks, and collaborate with system architects and engineers to optimize software and hardware configurations.
• Partnering with Engineering, Product, and Architecture teams to understand customer context, drive shift-left testing practices, and support peers in expanding their testing capabilities.
• Applying the scientific method (observe, research, hypothesize, test, conclude) to systematically break down complex configurations into manageable tasks. You will track issues to resolution, report on quality metrics, and integrate emerging trends to enhance ROI.

You have

• 4+ years of experience in software testing and test automation, preferably within a SaaS or enterprise software environment.
• A bachelor’s degree in a related field or equivalent working experience.
• Strong programming skills in Java, Python, and/or JavaScript/TypeScript to build custom testing infrastructure.
• Hands-on experience with industry-standard test automation tools (Cypress, Playwright, Selenium, Rest Assured, JMeter, etc.).
• Strong understanding of DevOps principles and CI/CD pipelines (GitHub Actions, Jenkins, Gradle). Experience working with Cloud platforms (AWS, Google Cloud) and containerization technologies (Docker, Kubernetes). Familiarity with GovCloud/FedRAMP environments is a strong plus.
• A critical mindset to discern what to automate and what not to, strategically sampling critical tests with a focus on balancing risk, cost, and value.
• Strong analytical capabilities to identify flaws in the testing process, toolset, or infrastructure, and the ability to propose and drive necessary improvements.
• This position is not eligible for visa sponsorship.
•  A bachelor’s degree or equivalent related working experience is required.

You are

• Because this role will support the US government, it is required candidates be a US citizen who resides on US soil.
• An independent, critical thinker who possesses natural curiosity, keen attention to detail, and the ability to act as a solution-oriented professional who uses out-of-the-box thinking to solve real-world performance challenges.
• A collaborative communicator who can demonstrate open, clear, and effective communication (verbal, technical, and written) and enjoys collaborating with globally distributed, cross-functional teams.
• Keen to explore how you can utilize AI tools and coding assistants to increase efficiency in testing and automation.
• Accustomed to working in an Agile/Kanban environment, you can prioritize workloads and see the big picture when troubleshooting quality issues.
• Passionate about expanding testing awareness across the engineering department and mentoring your peers to elevate the team's overall quality standards.

Measures of success

• Within your first month: You will complete onboarding, establish your local development environment, and gain a foundational understanding of our testing framework architecture and core customer user journeys.
• Within your third month: You will be actively delivering robust automation scripts and integrating these tests into our CI/CD pipelines to ensure continuous quality feedback.
• Within your sixth month: You will lead the end-to-end automation strategy for critical user journeys, utilizing observability data to proactively eliminate bottlenecks and drive measurable improvements in overall application quality and customer satisfaction.

Compensation for this role

The standard base salary range for this position is $116,000.00 - $145,000.00 per year.This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.

In addition to base salary, we offer a competitive total rewards package, including bonus potential, equity for eligible roles, a Flex Fund monthly stipend, pension/401k plans, and more.

Target RWE is seeking a Senior AI/ML Engineer to join our Technology team and help shape the next generation of real-world evidence solutions. In this hands-on role, you will design, develop, and deploy scalable machine learning systems — with a particular focus on large language model (LLM) applications. These systems enable our researchers, statisticians, and clinical teams to extract deeper insights from complex healthcare data. Your work will directly support Target RWE’s mission of advancing clinical research and informing better healthcare decisions at scale.

This is a highly collaborative position. You will partner closely with software engineers, data scientists, research scientists, and product managers to build high-performing, reliable, and scalable ML-native platforms. You will also serve as a technical leader within the Engineering team, helping cultivate a strong ML engineering culture and staying at the forefront of rapidly evolving AI technologies. This role reports to the Director of Engineering.

This is a role for someone who thrives at the intersection of cutting-edge AI research and production-grade engineering. The right fit is someone who can translate state-of-the-art methods into durable, enterprise-ready systems while understanding the requirements of clinical research. This is an exceptional opportunity for someone excited about applying AI to transform how clinical evidence is generated and used.

What You’ll Do

• Design, develop, and deploy scalable ML software systems to address large-scale analytical challenges in healthcare and real-world evidence generation.
• Translate state-of-the-art LLM research — both internally developed and from the broader research community — into production-ready solutions that deliver measurable value for our customers and internal teams.
• Work with complex, large-scale, real-world clinical data (structured and unstructured) in a cloud-based environment, ensuring quality and reliability across the data pipeline.
• Develop methods and features to ensure high-quality production model results, including drift detection, performance degradation monitoring, and observability tooling.
• Collaborate with software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability at every layer.
• Ensure robust monitoring, logging, and error handling for all deployed ML systems.
• Stay current on the latest advancements in machine learning and AI, and proactively identify opportunities to apply relevant innovations to Target RWE’s platform.
• Cultivate a strong ML engineering culture across the organization, contributing to best practices, code reviews, documentation, and technical mentorship.
• Partner with cross-functional stakeholders to translate complex technical concepts and model outputs into clear, actionable insights for non-technical audiences.

What You’ll Bring

• 5+ years of experience in backend and cloud platform software development, with the flexibility to traverse the stack when necessary.
• Fluency in Python.
• Strong familiarity with modern ML and LLM techniques, frameworks, and tooling.
• Demonstrated experience developing and maintaining high performing, scalable, data-centric enterprise software products.
• Strong problem-solving skills and meticulous attention to detail in technical design, implementation, and documentation.
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
• Collaborative team player who thrives in a cross-functional environment alongside engineers, researchers, and product managers.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

Nice to Have 

• Experience in 0-to-1 development of end-to-end ML systems, including design, training, inference, deployment, and monitoring.
• Hands-on experience with LLMs in production environments, including fine-tuning, prompt engineering, or retrieval-augmented generation (RAG).
• Experience building the plumbing necessary for RAG-based approaches, including data vectorization, vector stores, and various search methodologies.
• Background in healthcare, clinical informatics, or life sciences, with familiarity with real-world clinical data sources (EHR, claims, registries).

If you are ready to be part of a team where your work truly matters - where your expertise is valued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful together, and we’d love for you to be a part of it. 

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

At Target RWE, our mission is driven by a deep commitment to people—whether it’s the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science. 

We are seeking a talented Data Engineer to join our Technology team. In this role, you will develop, create, and modify computer application software and databases to drive operational efficiency and improve business processes. You will collaborate closely with stakeholders to analyze user needs, design custom software solutions, and implement scalable, reliable applications that support Target RWE’s mission.

What You’ll Do

• Design and implement data pipelines and software solutions that promote operational efficiency and scalability.
• Analyze business requirements and work with stakeholders to translate needs into technical solutions.
• Write clean, maintainable code primarily in Python, with a strong emphasis on SQL for data manipulation and transformation.
• Support and optimize cloud-based data infrastructure (AWS preferred).
• Develop and modify databases to support internal applications.
• Collaborate with operations and product teams to support deployment, testing, and maintenance.
• Help troubleshoot production issues and contribute to ongoing improvement efforts.
• Stay up to date on relevant tools, technologies, and best practices.

What You’ll Bring

• 3+ years of software development experience, ideally in data engineering, data platform development, or backend systems.
• Strong proficiency in SQL and Python.
• Experience with cloud platforms (AWS, GCP, or Azure) and working in cloud-native environments.
• Familiarity with version control and CI/CD tools (e.g., GitLab, GitHub Actions).
• Strong problem-solving and communication skills.
• Ability to work independently and manage tasks with moderate supervision.

Nice to Have 

• Experience working with or developing machine learning pipelines or models.
• Exposure to Generative AI or LLM frameworks (e.g., Langchain, LangGraph).
• Knowledge of distributed computing concepts or tools (e.g., Spark, Dask).
• Background in healthcare, life sciences, or clinical data.
• Bachelor’s degree in computer science, engineering, or a related field (or equivalent practical experience).

If you are ready to be part of a team where your work truly matters - where your expertise is valued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful together, and we’d love for you to be a part of it. 

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

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While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

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, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

About your role

We are looking for a forward-thinking Data Engineering Intern to join our team for Summer 2026. This isn't just a role about moving data from point A to point B; it’s about rethinking how those pipelines are built. You will sit at the intersection of core infrastructure and AI, building robust ETL processes while leveraging AI technologies to automate the very workflows you create.

Your mission is dual-purpose: you will support our Business Intelligence efforts and directly influence our product roadmap by turning raw data into actionable insights through advanced dashboards and automated workflows.

A Day in the Life

• Build & Orchestrate: Design, develop, and maintain ETL pipelines to ingest data into our Snowflake warehouse using Python, SQL, and Airflow.
• AI-Driven Automation: Implement AI-powered solutions to streamline engineering tasks, including:
• Automating code generation and documentation.
• Building AI-driven data quality checks and anomaly detection.
• Developing "self-healing" pipelines that can identify and alert on ingestion errors.
• Insight Generation: Use Jupyter Notebooks and Streamlit to analyze data and build internal tools that help our product team make data-driven decisions.
• Visualization: Create high-impact dashboards in Tableau that translate complex data into a clear narrative for stakeholders.
• Agile Collaboration: Participate in daily Scrum huddles, manage tasks via Jira, and work closely with product owners and QA to promote code to production.
• Cloud Infrastructure: Interact with cloud services via CLI and manage containerized environments using Docker and Kubernetes.

What you’ll need

• Academic Status: Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027, or pursuing a degree in Computer Science, Data Science, or a related quantitative field.
• Programming Mastery: Expertise in Python and SQL
• Infrastructure Mindset: A strong understanding of Data Warehousing (Snowflake) and ETL orchestration (Airflow).
• DevOps Curiosity: Familiarity with CLI, Docker, and Kubernetes for managing cloud-based environments.
• Analytical Toolkit: Experience with Jupyter Notebooks, Tableau, or Streamlit.
• Problem Solver: A proactive approach to using AI/LLMs to automate repetitive tasks and improve system reliability.

The Summer "Win"

By the end of your 10-week internship, you will have designed and deployed a functional ETL pipeline that feeds into a custom Insights Dashboard. Your work won't just sit in a folder, it will be used to influence our official product roadmap.

Interview Process

• Recruiter Phone Screen
• Technical Assessment 
• Hiring Manager Interview
• Team Interview

Position Overview

ATLAS SP is seeking a Risk Technology (VP, Data & Enterprise Services) to join our Data & Enterprise Services team. This is a senior hands-on engineering role focused on delivering high-quality technology solutions supporting Market Risk, Credit/Counterparty Risk, and enterprise risk reporting.

The individual will work closely with the Risk Management organization, Front Office, and global technology teams. The VP shall understand how risk metrics are produced, validated, and consumed, and be able to analyze, and troubleshoot risk reporting issues.

This role requires strong SQL, Python, and data engineering skills, along with familiarity with market and credit risk concepts across bonds, derivatives, structured products, and loan portfolios. This is a senior individual contributor position with high ownership.

Primary Responsibilities

• Serve as the senior technical partner to Market Risk and Credit Risk teams, focusing on data and platform solutions
• Perform hands-on development in SQL and Python to support risk data pipelines, analytics, reconciliations, and reporting workflows.
• Support daily, weekly, and monthly risk reporting cycles, ensuring accuracy, completeness, and timely delivery.
• Validate and troubleshoot risk reporting issues using market data, pricing inputs, and risk factor mappings.
• Collaborate with onshore and offshore teams to enhance data quality, lineage, and reporting controls.
• Drive improvements in automation, data validation, transparency, and modernization of risk processes.

Required Qualifications and Experience

• Minimal 5+ years of hands-on technology experience supporting Market Risk, Credit Risk, or trading/risk data environments.
• Strong SQL skills (Snowflake, SQL Server, or equivalent) for analytics, modeling, and performance optimization.
• Python experience for data processing, analytics, and automation.
• Experience integrating market data, pricing data, and risk factor inputs into analytical or reporting systems.
• Hands-on experience building or supporting ETL pipelines, reconciliations, data validation checks, and reporting workflows.
• Familiarity with risk metrics such as DV01, stress testing, scenario analysis, and credit exposure concepts.
• Excellent communication skills, with ability to partner with Risk Management, Front Office, and other engineer teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.

Preferred Qualifications and Experience

• Experience with risk platforms, pricing engines, or market data systems.
• Familiarity with structured credit or whole loan analytics.
• Experience working with cloud platforms such as Azure or Snowflake.
• Understanding of credit and market risk regulatory frameworks.
• Strong curiosity and willingness to dive deeply into data, calculation methodologies, and risk processes.

Base Salary Range

$150,000 - $210,000

Joining Collibra’s Artificial Intelligence team

We are looking for an experienced AI Engineer who will design and deliver Artificial Intelligence solutions that improve our customers' experience and enable informed, data-driven decision making. We seek someone excited about working with cutting-edge technologies to build pragmatic, performant AI solutions. You'll collaborate with a team of outstanding builders around the world, characterized by a love for innovative technology, a desire to solve problems, and a continuous pursuit of building simple, elegant products that delight customers and simplify all levels of data engagement. You will work primarily with Data Scientists, other AI Engineers, and Machine Learning Operations Engineers, as well as teams across Collibra.

This is a hybrid role based in our Raleigh office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

AI Engineers at Collibra are responsible for

• Monitoring of the larger AI/ML landscape, including emerging techniques and current state-of-the-art approaches 
• Transforming prototypes into pragmatic, production-ready solutions which solve impactful business problems
• Creating, operationalizing, and supporting AI/ML models and visualizations to power actionable value and insights
• Evaluating algorithmic results for quality, adaptability, and efficiency
• Contributing to evolving our platforms for Artificial Intelligence and Machine Learning capabilities in support of Collibra’s data products
• Collaborating with cross-functional teams and mentoring junior engineers on AI best practices

You have

• 5+ years of experience delivering production-grade AI/ML projects related to business functions, incorporating advanced techniques (e.g., LLM-based applications, RAG systems, NLP, neural networks, recommendation engines)
• Experience with SQL and relational databases, query authoring as well as working familiarity with a variety of databases (e.g., time series, graph, vector)
• Built and deployed production code in Python with associated AI modules (LangChain, LangGraph, Pandas, Numpy, Tensorflow, etc.)
• Experience with model evaluation, testing frameworks, and validation methodologies
• This position is not eligible for visa sponsorship
• A bachelor’s degree or equivalent related working experience is required

You are

• Deeply technical, driven, and analytical about the insights data can deliver
• Able to cut through hype and noise to identify foundational problems and build maintainable, performant solution
• Passionate about the mathematical principles powering the Generative AI revolution and how to drive sustainable value from LLMs and other GenAI technologies
• Experienced supporting diverse stakeholders and working with cross-functional teams in dynamic environments
• A clear communicator who can explain complex technical concepts to both technical and non-technical audiences
• Product-minded with empathy for end users—you consider how people will actually interact with AI features, not just technical sophistication
• Eager to both learn from others and share knowledge ; AI is evolving rapidly and no one has all the answers

Reporting to Collibra’s Senior Manager of AI Engineering, measures of success are

• Within your first month, you will familiarize yourself with the existing data platform and data products by diving into the architecture, existing products, and the Collibra platform ecosystem
• Within your third month, you will start to deliver new AI/ML features into our SaaS platform
• Within your sixth month, you will operationalize AI products into production environments and contribute to our AI roadmap

Compensation for this role

The standard base salary range for this position is 152,000 - 190,000 per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.

In addition to base salary, we offer a competitive total rewards package, including bonus potential, equity for eligible roles, a Flex Fund monthly stipend, pension/401k plans, and more.

OVERVIEW

Streamline Defense is hiring a Senior Exploitation Specialist / Data Scientist to support an NGA Analysis Office (AOT) embedded with US Special Operations Command. You will work alongside SOF intelligence professionals, building Python-based analytic tooling, dashboards, and geospatial workflows that turn raw collection into operational answers. This is a hands-on senior role: scope the problem, write the code, ship the solution.

RESPONSIBILITIES

• Design and build mission-ready Python solutions for SOF intelligence consumers
• Query and integrate web APIs through Python to retrieve, normalize, and operationalize data
• Build interactive dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or comparable platforms
• Develop visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or similar libraries
• Apply geospatial processing frameworks (GDAL, ArcPy) and GIS desktop tools (ArcGIS Pro, QGIS) to GEOINT problems
• Manage code in Git (GitLab, GitHub) and produce clear technical documentation for the systems you build

REQUIREMENTS

• Active TS/SCI security clearance
• 10+ years of relevant experience. A combination of education, professional certifications, and training may be substituted in lieu of years of experience.
• Senior-level proficiency in Python with a track record of designing and shipping mission-ready solutions
• Demonstrated experience querying and integrating web APIs through Python
• Experience developing interactive visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools
• Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms
• Strong SQL skills and experience querying relational databases
• Experience with Git-based version control (GitLab, GitHub)
• Proficiency with geospatial processing frameworks (GDAL or ArcPy)
• Proficiency with GIS desktop software (ArcGIS Pro or QGIS)
• Ability to write clear technical documentation for software systems and automated workflows
• Ability to operate independently at a senior level with limited oversight
• Familiarity with USSOCOM and broader US military organizational structures
• Familiarity with common Intelligence Community (IC) data repositories

OVERVIEW

Streamline Defense is hiring a Senior Exploitation Specialist / Data Scientist to support an NGA Analysis Office (AOT) embedded with US Special Operations Command. You will work alongside SOF intelligence professionals, building Python-based analytic tooling, dashboards, and geospatial workflows that turn raw collection into operational answers. This is a hands-on senior role: scope the problem, write the code, ship the solution.

RESPONSIBILITIES

• Design and build mission-ready Python solutions for SOF intelligence consumers
• Query and integrate web APIs through Python to retrieve, normalize, and operationalize data
• Build interactive dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or comparable platforms
• Develop visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or similar libraries
• Apply geospatial processing frameworks (GDAL, ArcPy) and GIS desktop tools (ArcGIS Pro, QGIS) to GEOINT problems
• Manage code in Git (GitLab, GitHub) and produce clear technical documentation for the systems you build

REQUIREMENTS

• Active TS/SCI security clearance
• 10+ years of relevant experience. A combination of education, professional certifications, and training may be substituted in lieu of years of experience.
• Senior-level proficiency in Python with a track record of designing and shipping mission-ready solutions
• Demonstrated experience querying and integrating web APIs through Python
• Experience developing interactive visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools
• Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms
• Strong SQL skills and experience querying relational databases
• Experience with Git-based version control (GitLab, GitHub)
• Proficiency with geospatial processing frameworks (GDAL or ArcPy)
• Proficiency with GIS desktop software (ArcGIS Pro or QGIS)
• Ability to write clear technical documentation for software systems and automated workflows
• Ability to operate independently at a senior level with limited oversight
• Familiarity with USSOCOM and broader US military organizational structures
• Familiarity with common Intelligence Community (IC) data repositories

What You’ll Be Doing:

We are seeking a senior-level Data Scientist to develop and operationalize advanced analytic solutions that directly enhance intelligence production and mission effectiveness. In this role, you will design and deploy Python-based solutions and analytic pipelines that integrate structured and unstructured data from multiple sources, including web APIs and enterprise repositories. You will create solutions, interactive dashboards, and analytic interfaces that improve analytic rigor, transparency, and reproducibility. Your work will modernize legacy workflows to ensure reliability, scalability, and maintainability in high-consequence environments.

What Impact You'll Have:

We are looking for a Senior Data Scientist, with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community.   The Data Scientist will coordinate with our clients to understand questions and issues involving the client’s datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

What You Have to Have:

• Active TS/SCI Clearance is required with the ability to obtain a CI Poly. 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings/degree can be used in lieu of the years of experience requirement)
• Senior-level proficiency in Python with demonstrated experience in designing mission ready solutions.
• Experience querying and integrating web APIs through Python to retrieve, normalize, and operationalize data.
• Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools.
• Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms.
• Strong SQL skills and experience querying relational databases.
• Experience using Git-based version control platforms such as GitLab or GitHub.
• Proficiency with geospatial processing frameworks such as GDAL or ArcPy.
• Proficiency with GIS desktop software such as ArcGIS Pro or QGIS.
• Ability to write clear, concise technical documentation related to software systems and automated workflows.
• Ability to operate independently at a senior level with limited oversight.
• Familiarity with USSOCOM and broader U.S. military organizational structures.
• Familiarity with common Intelligence Community (IC) data repositories.

What You’ll Be Doing:

We are seeking a senior-level Data Scientist to develop and operationalize advanced analytic solutions that directly enhance intelligence production and mission effectiveness. In this role, you will design and deploy Python-based solutions and analytic pipelines that integrate structured and unstructured data from multiple sources, including web APIs and enterprise repositories. You will create solutions, interactive dashboards, and analytic interfaces that improve analytic rigor, transparency, and reproducibility. Your work will modernize legacy workflows to ensure reliability, scalability, and maintainability in high-consequence environments.

What Impact You'll Have:

We are looking for a Senior Data Scientist, with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community.   The Data Scientist will coordinate with our clients to understand questions and issues involving the client’s datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

What You Have to Have:

• Active TS/SCI Clearance is required with the ability to obtain a CI Poly. 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings/degree can be used in lieu of the years of experience requirement)
• Senior-level proficiency in Python with demonstrated experience in designing mission ready solutions.
• Experience querying and integrating web APIs through Python to retrieve, normalize, and operationalize data.
• Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools.
• Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms.
• Strong SQL skills and experience querying relational databases.
• Experience using Git-based version control platforms such as GitLab or GitHub.
• Proficiency with geospatial processing frameworks such as GDAL or ArcPy.
• Proficiency with GIS desktop software such as ArcGIS Pro or QGIS.
• Ability to write clear, concise technical documentation related to software systems and automated workflows.
• Ability to operate independently at a senior level with limited oversight.
• Familiarity with USSOCOM and broader U.S. military organizational structures.
• Familiarity with common Intelligence Community (IC) data repositories.

Process Technician - Injection Molding - 2nd shift

Overview

Provide technician-level support to production and engineering activities within the injection molding operation. This role supports mold installation and removal, machine setup, process adjustments, troubleshooting, and documentation to ensure molded products meet quality and performance standards.

Responsibilities

• Support production and engineering projects as directed by Engineers and Supervisors

• Install and remove molds in injection molding machines

• Set up, adjust, and optimize molding processes to maintain product quality

• Troubleshoot quality issues and perform material or process changes as needed

• Maintain accurate records of mold processing and change activities

• Interpret plastic part measurement data and communicate results to the team

• Follow established quality control systems for molded parts

• Assist with equipment maintenance and product/process qualifications

• Additional duties and/or overtime may be required

Must Haves

• Minimum of three (3) years of experience in a medium-volume injection molding environment

• Working knowledge of injection molding processes, machines, materials, and auxiliary equipment

• Experience installing molds and adjusting processes to resolve quality issues

• Ability to interpret plastic part measurement data

• Strong problem-solving, communication, and PC skills (Microsoft Office)

Nice to Haves

• Associate’s Degree in a technical or engineering-related field

• Experience supporting engineering-driven projects or process qualifications

• Familiarity with quality systems in a manufacturing environment

Process Technician - Injection Molding - Weekend Shift (Fri - Sun/6pm - 6am)

Overview

Provide technician-level support to production and engineering activities within the injection molding operation. This role supports mold installation and removal, machine setup, process adjustments, troubleshooting, and documentation to ensure molded products meet quality and performance standards.

Responsibilities

• Support production and engineering projects as directed by Engineers and Supervisors

• Install and remove molds in injection molding machines

• Set up, adjust, and optimize molding processes to maintain product quality

• Troubleshoot quality issues and perform material or process changes as needed

• Maintain accurate records of mold processing and change activities

• Interpret plastic part measurement data and communicate results to the team

• Follow established quality control systems for molded parts

• Assist with equipment maintenance and product/process qualifications

• Additional duties and/or overtime may be required

Must Haves

• Minimum of three (3) years of experience in a medium-volume injection molding environment

• Working knowledge of injection molding processes, machines, materials, and auxiliary equipment

• Experience installing molds and adjusting processes to resolve quality issues

• Ability to interpret plastic part measurement data

• Strong problem-solving, communication, and PC skills (Microsoft Office)

Nice to Haves

• Associate’s Degree in a technical or engineering-related field

• Experience supporting engineering-driven projects or process qualifications

• Familiarity with quality systems in a manufacturing environment

ANALYTICS

What We Do

Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic.

What You'll Do

We are seeking a Senior Data Scientist to independently own and drive analytics initiatives for Family Experience (FamXP), Investigation analytics and Trust and Safety, with a focus on impacting team and product outcomes. You'll apply your expertise to transform ambiguous business questions into actionable insights while handling highly sensitive data with care and discretion. This role requires leading cross-functional projects, building strong stakeholder relationships across multiple teams, and maintaining the highest standards of data privacy and security. The role is expected to build foundational re-usable data models as well as end reporting and ad hoc analysis to support teams from FamXP, a product team, to Legal.

In this role, you will

• Own and deliver end-to-end analytics projects for Family Experience and Trust & Safety that drive team outcomes and measurably influence product/org outcomes, from problem framing through impact measurement; can range from telemetry implementation to reporting to automation (from Workato to ML)
• Solve ambiguous Family Experience and Trust & Safety problems by designing analyses, evaluating options/tradeoffs, and making independent decisions that keep work moving in a dynamic environment
• Execute team and product/org strategy through analytics planning: translate strategy into metrics, roadmaps/backlogs, and clear success criteria; contribute to setting team goals
• Build and maintain production-quality metrics, dashboards, and data models that monitor safety, parental controls, and age-appropriate experiences across Epic’s ecosystem
• Drive alignment around approach and outcomes with Trust & Safety, Product, Engineering, Legal, and Policy partners across the team and organization, managing expectations and trade-offs
• Handle sensitive data related to minors and safety incidents with discretion, applying privacy/security best practices and Epic data governance requirements
• Mentor others on the team and within the product/org: share best practices, review work, and raise the bar for how analytics is done

What we're looking for

• 6-10 years of demonstrated ability to own and deliver analytics projects that execute team outcomes and influence product/org outcomes
• Strong SQL skills (Python, PySpark a plus) and experience working with large-scale datasets; comfort in modern data environments (e.g., Snowflake/Databricks/Spark); familiarity with version control and workflow orchestration tools (Airflow or similar) is a plus
• Proven ability to solve ambiguous problems and make independent decisions on team projects with minimal/no oversight
• Experience turning messy data into production-quality metrics, dashboards, and data models that support operational monitoring and decision-making
• Strong judgment handling sensitive or regulated data; working knowledge of privacy/security practices and relevant compliance concepts
• Ability to execute team + product/org strategy via planning and prioritization; can translate goals into measurable outcomes and help set team goals
• Track record of driving alignment and collaboration across immediate/adjacent teams and the broader product/org
• Clear communicator who can align stakeholders through concise updates and documentation that drive decisions and action
• Evidence of mentoring others on the team/product org (coaching, reviews, raising standards)
• Domain strength in Trust & Safety and/or family experiences online (e.g., moderation, account safety, community health, fraud, or safety feature measurement)

EPIC JOB + EPIC BENEFITS = EPIC LIFE

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.

Role Description

• As an Senior Value Engineer specializing in the Energy Sector, you are pushing the envelope in solving business-critical problems for our strategic customers across utilities, oil & gas, and renewable energy. You will be working with our most strategic energy clients, understanding their unique objectives—from grid modernization and asset lifecycle management to navigating the energy transition—and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI, and Databricks.
  
  With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands our customers’ complex business realities (bridging IT and OT systems) and enables them to industrialize AI, unlocking real ROI on deployments at scale. You will prototype these solutions, demonstrate their value to Energy Executives, and ensure successful implementation, adoption, and value realization in order to increase the footprint of Celonis across the global energy landscape.

Key Responsibilities:

• AI Discovery & Solutioning: Understand energy customers' AI strategy and sector-specific challenges (e.g., predictive maintenance, outage management, supply chain resilience, or regulatory compliance). As a Celonis product and energy domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle.

• Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales cycle, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully reached.

• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude, and don’t shy away from complex operational problems. Leverage cutting-edge AI technologies to rapidly build creative prototypes in customer hackathons, solving critical pain points specific to power generation, transmission, and O&G operations.

• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale, enabling a fundamental shift from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., intelligent field service routing or autonomous procurement).

• Proof Projects: End-to-end execution of business-critical Proof-of-Value projects. This includes architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with enterprise data, identity protocols, and stringent energy compliance frameworks.

• Domain & Industry Leadership: Serve as the internal and external technical subject matter expert for the Energy vertical, scaling knowledge across the organization regarding utilities, upstream/downstream oil & gas, and renewable energy processes.

Requirements:

• 5+ years of experience leading technical pre-sales and post-sales engagements specifically within the Energy sector (Utilities, Oil & Gas, and/or Renewables). This includes defining AI roadmaps, building compelling ROI/TCO business cases, and guiding technical implementations through to value realization.

• Deep understanding of business processes native to the Energy sector (such as Asset Management, Field Services, Supply Chain, Capital Projects, or Trading) with the ability to translate high-level business needs into specific, impactful AI use cases.

• Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., automated processing of engineering documents, regulatory filings, or intelligent diagnostic chatbots).

• Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies relevant to handling large-scale industrial data.

• Strong presentation skills to both internal and external stakeholders (including C-level executives and operational leaders), whether leading technical whiteboarding sessions or formal readouts and demos.

• Bachelor’s Degree required; Master's Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails suited for highly regulated industries.

• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.

• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex) and familiarity with IT/OT convergence and industrial IoT data structures.

Visa sponsorship is not offered for this role.
Learn More about Value Engineering at Celonis Here

The Role:

We are looking for a curious, smart, and “learn it all” Architect with proven experience and a passion for designing transformative solution architectures for our prospects and customers. This high-impact role demands a unique blend of deep technical expertise and executive presence, requiring you to confidently present to C-level executives and translate their strategic goals into actionable technical plans.

You will work with technical teams at our prospects and customers to design architectures that drive enterprise modernization, leveraging techniques like capability mapping and exploring innovative solutions with Agentic AI. Your primary goal is to support our growing sales team in achieving revenue goals by unlocking technical blockers and partnering closely with our Sales, Value Engineering, Product Management, Data Ops, and Information Security teams.

You will be responsible for supporting engagements with new prospects as well as existing customers that look to expand their footprint. Measures of success include new customer acquisition rates, retention, up-selling, and contribution to overall sales team and business success.

The work you’ll do:

• Lead and define the overall architecture, data and cloud strategy for our largest client accounts
• Confidently engage with customers C level their strategic objectives with the Celonis technical strategy
• Drive innovation by identifying and architecting solutions that leverage emergent technologies, including Agentic AI.
• Be the bridge between our product & engineering teams within Celonis with the clients teams to provide the best technical services for our clients
• Assess our customer installed base IT landscape maturity for the region
• Participate in pre-Sales and post-Sales phases, engaging with customer Architecture and security teams
• Coach and guide Celonis consulting teams and ecosystem partners on technical implementation related issues (architecture, integration, performance and scalability)
• Develop re-usable assets for the consulting teams on projects
• Develop customer facing position papers, assets and thought leadership presentations on architecture and innovation with Celonis
• Creation of technical designs and presentations for internal and client stakeholders

The qualifications you need:

• 10 to 15 years of relevant experience (Software vendor Architect, Top consulting firms CTO or Enterprise Architect at a customer)
• Proven ability to think strategically, connecting technical solutions to business value and customer objectives.
• Strong background in Data Architecture, Integrations patterns, and Development background in data related languages (SQL, Python...)
• Excellent written and verbal communication skills
• Excellent presentation and creativity skills
• You can comfortably switch from explaining an architecture diagram to an environment where you coded/assembled a demo of the architecture
• Strong technical background with a focus on system integrations, data operations and automation capabilities
• Strong understanding of cloud native architectures, SaaS solutions (Salesforce, SAP, Dynamics CRM,ServiceNow, etc..), cybersecurity posture fundamentals, API ecosystems and legacy on-premise enterprise architectures
• Fluency in English, an additional language such as Spanish, French or Italian is a strong advantage 
• MSc degree in Computer Science or equivalent in Information Technology related field

Preferred:

• Celonis Certifications and Experience with OCPM and Case Centric Data Pipelines
• AWS/Azure/GCP Certifications
• ESB / ETL Certifications (Mulesoft,Oracle,SAP,Talend, Informatica, etc..)
• Experience in at least 2 domains among: Finance, Manufacturing, Supply Chain, Customer/Consumer Management (Service,Order Management, Sales),HR,Procurement.
• Experience in at least 2 industries among: Consumer Goods, Banking, Pharma, Aerospace,Telco, and Transport.

#LI-DB5

About the role

As a Senior Mission Manager, you will serve as a senior mission-facing leader responsible for driving program-based adoption of Vannevar Labs’ technology within government program offices. You will work closely with PEOs, PMWs, and program managers to shape pilots, scope capabilities, and convert demonstrated mission value into funded programs. This is a highly autonomous role that requires deep mission credibility, strong technical intuition, and the ability to operate effectively in ambiguous, early-stage program environments. 

What you’ll do

• Lead engagements with program offices (PEOs, PMWs, PMOs, and equivalent organizations) to identify mission problems that Vannevar Labs’ technology can solve.
• Translate program needs into technical narratives, clearly explaining how our software and agent-based capabilities map to requirements, constraints, and outcomes.
• Scope and shape program-based pilots, defining objectives, success criteria, timelines, and pathways to scale.
• Pitch the technology with credibility, leveraging your mission and domain background to build trust with program managers and technical authorities.
• Navigate programmatic realities, including requirements development, budgeting cycles, contracting pathways, and stakeholder coordination.
• Partner closely with product managers and engineers to ensure mission context is accurately reflected in technical scope, tradeoffs, and delivery plans.
• Convert successful pilots into sustained programs, helping program offices justify follow-on funding and broader adoption.
• Represent Vannevar Labs within the program ecosystem as a mission-credible, technically fluent partner.

What we’re looking for

• 15–20+ years of experience in government or defense missions, typically as a retired O5/O6 or senior enlisted or civilian equivalent
• Deep expertise in a specific mission or technical domain (e.g., cyber, information warfare, ISR, networks, operational intelligence, warfare systems/command and control).
• Strong ability to scope, pitch, and sell technical solutions to senior government stakeholders — not just explain missions, but connect them to software capabilities.
• Proven experience navigating programmatic realities, including budgets, requirements, authorities, timelines, and stakeholder dynamics.
• Sufficient technical fluency to:
  • Understand modern software systems and agent-based approaches
  • Partner effectively with product and engineering teams
  • Translate complex concepts into clear, mission-relevant narratives
• Demonstrated scrappiness and bias toward action — comfortable operating in ambiguity and pushing programs forward without perfect structure.
• High enthusiasm for building something new and shaping how cutting-edge technology is adopted inside government.
• Bonus of having acquisition, resource sponsor, or program manager experience.

What we value

• Mission-first mindset with a focus on real operational outcomes.
• Technical credibility paired with humility — able to learn quickly and ask the right questions.
• Clarity and precision in communication, especially with senior leaders.
• Ownership mentality — taking responsibility for moving programs from idea to execution.
• Low ego, high trust, and comfort collaborating across product, engineering, and mission teams.

What we offer

Competitive Salary

The salary range for this position is $180,000 - $220,000 + equity. Within the range, individual pay is determined by experience, relevant education, and/or training.

Comprehensive Benefits

• Health, dental, and vision insurance
• Remote friendly with WeWork access
• Unlimited PTO, shared downtime during the federal holiday calendar, and company-wide off time at the end of each year
• 401(k) match
• Lifestyle & wellbeing stipends
• Salary top-up during military reserve duty
• Fully paid parental leave
• Child and pet care reimbursement during travel

About your role

Rocket Lawyer is seeking a highly motivated Business Intelligence Analyst Intern to join our team. This position is perfect for someone who wants to learn about the legal industry and how data is used to inform business decisions. By joining our team, you will have the opportunity to work on challenging projects that have a real impact on people's lives. You will support the Rocket Lawyer team in driving business insights, reporting, and analytics to help drive growth and optimize business performance. This role will partner closely with Product, Finance, Marketing, & Data Engineering teams to deliver actionable insights and act as a thought leader for data at Rocket Lawyer.

How you will make a difference day to day

• Analyze and optimize user engagement and experience with our services and investment across Search Engine Marketing (SEM), Search Engine Optimization (SEO), email, and offline channels
• Collaborate with business leads to understand KPIs & test hypotheses to drive revenue, customer acquisition, retention, and sales
• Support revenue and cost model assumptions are they relate to customer acquisition costs and lifetime value
• Conduct research and analysis to support business decisions, including reporting and communication of results to leadership
• Maintain and optimize BI tools and dashboard solutions. Contribute to ongoing data governance efforts

What you’ll need

• Experience with business analysis and problem-solving by drawing insights from large data sets
• Superior skills with SQL, Excel, and Python
• Experience with business intelligence applications (Tableau, Looker) and online marketing tools (Amplitude)
• Experience with Snowflake, other databases a plus
• SaaS, digital media, ecommerce, or online marketing based business experience a plus
• Light-hearted attitude and ability to have FUN while working hard
• Keen attention to detail, ability to work autonomously, & bias for action
• Excellent communication and interpersonal skills, with strong business acumen
• Pursuing a Bachelor's or Master’s Degree in Finance, Economics, Engineering or related quantitative field

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Final Interview

The Team:

Celonis Support Services team operates a 3-Level Support model, which includes a dedicated highly-trained team of Celonis experts located in our Celonis Support Center. Our support engineers are familiar with the everyday challenges organizations face when deploying Celonis software and can quickly diagnose and support the questions regarding product-related issues our customers face, and provide technical support for Celonis On-Premise and Cloud-based Execution Management System products. You will report directly to the Team Lead Customer Support and ideally you will be based in Washington, DC.

The Role:

As part of the 2nd Level Support Team you will take over the technical support (remote) of our global customers and partners for all questions related to our software. You will form the interface between our customers, partners and our customer success & delivery, development and product management organization. We are looking for someone eager to become an expert in Celonis Process Intelligence Software and to grow our Customer Support organization in our Raleigh office.

The work you’ll do:

• Provide 2nd Level Support for Customer using Celonis On-Premise and Intelligent Business Cloud products
• Named technical contact for Premium Support Customers
• Accept, qualify, drive,  and resolve complex Tickets, which have been forwarded or escalated to 2nd Level, according to our ITSM processes
• Qualify problems or defects for handover and collaboration with 3rd Level
• KPI adherence based on external Service Level Agreements and Organizational Level Agreements
• Participate and drive regular Root Cause Analysis (RCA) cycles to improve our Support Knowledge base
• Prepare and deliver Webcasts to customers and support staff on selected technical topics
• Collaborate with customers based on given and preferred communication channels
• Contribute to Continual Service Improvement (CSI) cycles and initiatives of Celonis and Celonis Support Organization.
• Coverage of on-call rotations as part of the global team.

The qualifications you need:

• You hold a Bachelor of Computer Science or related degree
• Role requires and active Government Clearance (Public Trust, Secret or Top Secret) with 18 months - 2 years of remaining eligibility
• Have a minimum 6 years of proven 2nd Support Level experience in handling international customer inquiries in consideration of Service Level Agreements.
• Demonstrated use of AI in support administration, troubleshooting, documentation etc.
• Proficient in at least one programming language e.g. Java, or in a scripting language e.g. Python
• Have experience with database systems (SAP HANA, Oracle, MS SQL Server)
• Goal-oriented, independent, and structured approach to the analysis and solution of complex problems in virtual and cloud-based environments
• Have senior customer communication and handling skills 
• Strong customer service focus
• Passionate about topics like Execution Management, Process Mining, Big Data, Data Lake

Visa sponsorship is not offered for this role.

#LI-DP1

#LI-DP1

Automation Technician – 3rd Shift (10:00pm Est- 6:00am Est)

Overview

We’re seeking a hands‑on Automation Technician to install, optimize, and support automated manufacturing systems across injection molding and ferrule posting areas. In this role you’ll use mechanical and electrical troubleshooting skills to keep automation running, drive continuous improvement, and collaborate with engineering and operations to deliver reliable, efficient production.

Responsibilities

• Support installation, commissioning, and optimization of automation in black and clear injection molding areas.
• Support installation and optimization of automation for ferrule posting processes.
• Monitor automated processes, inspect output, and adjust systems to maintain product quality and process consistency.
• Provide first‑line technical support and troubleshooting to minimize downtime; escalate complex repairs as needed.
• Perform preventative maintenance and basic repairs on automation equipment; coordinate vendor/engineering repairs.
• Read and update technical documentation, including work instructions, schematics, and process flow for manual and automated tasks.
• Assist with PLC/HMI program testing, loading, and diagnostics in coordination with controls engineers.
• Use 2D/3D CAD drawings to identify components, fixtures, and assemblies during installation and troubleshooting.
• Support and occasionally lead training for operators, technicians, or engineers on new or modified automation systems.
• Collaborate across business units to support additional automation projects from concept through implementation.
• Occasionally operate automation equipment to support training, validation, or production needs.

Must Haves

• Associate’s degree in Mechatronics, Mechanical, or Electrical Engineering Technology preferred; other technical fields acceptable.
• 2–4 years hands‑on experience in a medium‑volume manufacturing environment (injection molding, die casting, machining, assembly).
• Strong mechanical aptitude and experience maintaining automated equipment, jigs, and fixturing.
• Familiarity with PLCs and HMIs and ability to assist with program loading, basic testing, and diagnostics.
• Working knowledge of 2D/3D CAD to read schematics and assembly drawings.
• Proactive problem‑solver with strong analytical and communication skills.
• Proficient with Microsoft Office (Excel, Outlook) and basic PC skills.
• Ability to lift/move up to 25 lbs regularly and up to 50 lbs occasionally, good visual acuity and manual dexterity.
• Willingness to work in a manufacturing environment with regular exposure to machining fluids, adhesives, and particulate.

Nice to Haves

• Experience specifically with injection molding automation and ferrule/posting process equipment.
• Hands‑on troubleshooting experience with servo drives, motion systems, sensors, and vision inspection equipment.
• Previous experience authoring or improving work instructions, SOPs, and technical documentation.
• Familiarity with root‑cause analysis, corrective actions, and continuous improvement methodologies (5S, Kaizen, Lean).
• Experience coordinating vendor repairs and upgrades for automation systems.

What We Offer

• Competitive base salary with performance‑based bonus potential.
• 4 weeks of PTO to relax and recharge.
• Health, dental, and vision plans to support you and your family.
• 401(k) retirement savings plan with employer match and planning resources.
• Collaborative, team‑based culture that fuels innovation.
• Paid holidays and employee recognition programs to celebrate achievements.
• Community engagement and STEM outreach opportunities to give back locally.

US Conec will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. 

Automation Technician - Weekend Shift (Fri-Sun/6pm-6am)

Overview

We’re seeking a hands‑on Automation Technician to install, optimize, and support automated manufacturing systems across injection molding and ferrule posting areas. In this role you’ll use mechanical and electrical troubleshooting skills to keep automation running, drive continuous improvement, and collaborate with engineering and operations to deliver reliable, efficient production.

Responsibilities

• Support installation, commissioning, and optimization of automation in black and clear injection molding areas.
• Support installation and optimization of automation for ferrule posting processes.
• Monitor automated processes, inspect output, and adjust systems to maintain product quality and process consistency.
• Provide first‑line technical support and troubleshooting to minimize downtime; escalate complex repairs as needed.
• Perform preventative maintenance and basic repairs on automation equipment; coordinate vendor/engineering repairs.
• Read and update technical documentation, including work instructions, schematics, and process flow for manual and automated tasks.
• Assist with PLC/HMI program testing, loading, and diagnostics in coordination with controls engineers.
• Use 2D/3D CAD drawings to identify components, fixtures, and assemblies during installation and troubleshooting.
• Support and occasionally lead training for operators, technicians, or engineers on new or modified automation systems.
• Collaborate across business units to support additional automation projects from concept through implementation.
• Occasionally operate automation equipment to support training, validation, or production needs.

Must Haves

• Associate’s degree in Mechatronics, Mechanical, or Electrical Engineering Technology preferred; other technical fields acceptable.
• 2–4 years hands‑on experience in a medium‑volume manufacturing environment (injection molding, die casting, machining, assembly).
• Strong mechanical aptitude and experience maintaining automated equipment, jigs, and fixturing.
• Familiarity with PLCs and HMIs and ability to assist with program loading, basic testing, and diagnostics.
• Working knowledge of 2D/3D CAD to read schematics and assembly drawings.
• Proactive problem‑solver with strong analytical and communication skills.
• Proficient with Microsoft Office (Excel, Outlook) and basic PC skills.
• Ability to lift/move up to 25 lbs regularly and up to 50 lbs occasionally; good visual acuity and manual dexterity.
• Willingness to work in a manufacturing environment with regular exposure to machining fluids, adhesives, and particulate.

Nice to Haves

• Experience specifically with injection molding automation and ferrule/posting process equipment.
• Hands‑on troubleshooting experience with servo drives, motion systems, sensors, and vision inspection equipment.
• Previous experience authoring or improving work instructions, SOPs, and technical documentation.
• Familiarity with root‑cause analysis, corrective actions, and continuous improvement methodologies (5S, Kaizen, Lean).
• Experience coordinating vendor repairs and upgrades for automation systems.

What We Offer

• Competitive base salary with performance‑based bonus potential.
• 4 weeks of PTO to relax and recharge.
• Health, dental, and vision plans to support you and your family.
• 401(k) retirement savings plan with employer match and planning resources.
• Collaborative, team‑based culture that fuels innovation.
• Paid holidays and employee recognition programs to celebrate achievements.
• Community engagement and STEM outreach opportunities to give back locally.

US Conec will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. 

ANALYTICS

What We Do

Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic.

What You'll Do

You will design, build, and optimize the recommendation systems that power Fortnite's Discover experience, serving personalized recommendations to one of the largest player bases in gaming across a massive catalog of creator-built experiences. 

You'll work across the full recommendation stack: candidate generation, content ranking, impression allocation, and real-time reranking.

Unlike recommendation systems that operate over a stable catalog, you're working with a massive, rapidly changing content library where new experiences are published daily, quality signals are sparse, and the system's own outputs shape the data it learns from.

In this role, you will

• Design and implement retrieval, ranking, and reranking models for creator content using deep learning approaches (two-tower architectures, transformer-based sequence models, embedding-based retrieval) and build the user representation systems that power personalized discovery
• Build and optimize multi-stage candidate generation and impression allocation pipelines that balance relevance, diversity, and fair content exposure across a large and rapidly evolving catalog
• Design and run A/B experiments to validate model improvements, own evaluation frameworks that capture recommendation quality holistically, and drive the path from experiment to production deployment
• Collaborate with analytics and content quality teams on ranking signals including genre classification, creator credibility, and content quality metrics
• Own ML infrastructure decisions: choosing the right tradeoffs between batch, near-real-time, and streaming serving architectures

What we're looking for

• 3-5+ years of experience building production recommendation or ranking systems, ideally in a UGC, marketplace, or content discovery context
• Experience with deep learning for information retrieval and multi-stage recommendation pipelines (candidate generation, scoring, reranking)
• Demonstrated ability to design and analyze A/B experiments, with awareness of biases inherent to recommendation systems
• Strong Python engineering skills with experience in PyTorch and large-scale data processing frameworks (Spark preferred)
• Comfort working in a cloud-based ML environment
• Experience with explore/exploit strategies, content cold-start, or counterfactual evaluation methods applied to recommendation
• Experience with content understanding models (NLP, vision, or generative AI) used as ranking features
• Familiarity with creator economy dynamics and how recommendation design affects content quality and creator incentives
• Experience with our stack: PyTorch (TorchRec, Transformers), Ray, Databricks, AWS
• Passion for video games and/or experience with gaming analytics

EPIC JOB + EPIC BENEFITS = EPIC LIFE

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.

Business and Technology Development Manager

Overview
We’re thrilled to share an exciting opportunity for a Business & Technology Development Manager to spearhead strategic growth initiatives in the fiber-optics and data-center market! In this role, you’ll have the chance to build and nurture valuable relationships with customers and partners, drive new business opportunities, and shape the roadmap for high-performance fiber-optic products that will power the next generation of network infrastructure.

Responsibilities

• Develop and maintain strong relationships with data-center operators, system vendors, and transceiver manufacturers.
• Gain a deep understanding of customer technology roadmaps to uncover new product-development opportunities.
• Drive strategic account plans and launch innovative fiber-optic connectivity solutions.
• Act as a consultative partner by presenting tailored technical and commercial proposals.
• Collaborate with Product Management and Engineering to define clear product requirements.
• Manage multiple technology and application development programs from kickoff to delivery.
• Represent US Conec at industry conferences, trade shows, and technical forums.
• Analyze market trends and provide actionable insights to inform innovation and business strategy.

Must Haves

• Bachelor’s degree in a technical field (Engineering preferred).
• Proven success in business development or strategic partnerships.
• Strong understanding of optical communications and the data-center ecosystem.
• Ability to translate complex technical concepts into compelling business opportunities.
• Excellent presentation, communication, and relationship-management skills.
• Solid project-management, analytical, and organizational abilities.
• Willingness to travel frequently (25% or more).
• Proficiency in Microsoft Office Suite.

Nice to Haves

• Hands-on experience with fiber-optic cabling, connectors, and related hardware.
• Familiarity with data-center infrastructure design and deployment.
• Understanding of network architectures, including optical switching and interconnect technologies.

What We Offer

• A competitive base salary with performance-based bonus potential.
• 4 weeks of PTO to relax and recharge.
• Health, dental, and vision plans to keep you and your family healthy.
• 401(k) retirement savings plan with employer match and planning resources to help you secure your future.
• A collaborative, team-based culture that fuels innovation and creativity.
• Paid time off, holidays, and employee recognition programs to celebrate your achievements.
• Community engagement and STEM outreach opportunities to give back locally.

US Conec will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. 

Must Haves

• Bachelor of Science in Metrology or Engineering discipline
• Preferred 5 years of experience in metrology engineering and precision measurement.
• Excellent communication, planning, and independent problem-solving skills
• Proven ability to plan tests and analyze results
• Strong understanding of mechanical principles and design
• Advanced knowledge of data analysis software tools and techniques
• Experience with optical systems, image processing, or precision machine design preferred

What We Offer

• Competitive base salary with performance-based bonus potential
• 4 weeks of PTO for all new hires
• Health, dental, and vision insurance plans to support you and your family
• 401(k) retirement savings plan with employer match
• A collaborative, team-based culture focused on innovation and quality
• Paid holidays and employee recognition programs
• Opportunities to work with cutting-edge metrology tools and technologies
• STEM outreach and community engagement initiatives