SUMMARY: 

Bring in an AI-first practitioner who compresses delivery timelines by orchestrating Claude (and other LLMs) across the full development lifecycle, while maintaining the architectural and product judgment that makes the output durable. This person is force-multiplier-shaped: one of them replaces a small team for the right kind of work and produces artifacts that survive enterprise review.

PRIMARY DUTIES:

How This Person Operates

• Directs and guides AI across planning, solution design, development, documentation, and UAT — treating the AI as a capable but literal collaborator that needs clear acceptance criteria to perform well
• Defines what "good" looks like up front (acceptance criteria, conformance checks, architectural fit) and validates AI output against that standard rather than rubber-stamping it
• Owns end-to-end delivery from ideation through production and iteration; acts as product thinker, architect, and delivery lead — not just an executor
• Practices context engineering knows what reference material (code collections, schemas, utility libraries, prior decisions, SOPs) to feed the model, how to scope work so AI has enough context to succeed but not so much it drifts, and how to manage long-running sessions and context windows
• Builds living documentation as a deliverable, not an afterthought — Mermaid/BPMN diagrams, structured SOPs, and conformance criteria that make AI output checkable against intent over time
• Breaks work into well-defined, digestible units with clear acceptance criteria
• Validates requirements with business stakeholders to surface and eliminate legacy holdovers rather than encoding them into new systems

COMPENTENCY:

Ideal Background

• Hands-on developer history combined with architectural and product ownership; can drop into code to debug, spike, or validate AI output, but doesn't default to hand-coding as the primary delivery mode
• Experience owning product state and requirements, not just implementing tickets
• Comfortable questioning legacy patterns, improving designs rather than replicating them, and pushing back constructively on stakeholder requests that don't hold up
• Has worked inside enterprise environments with real constraints (security, change management, internal source control, data governance) — this is not a greenfield startup role

AI Fluency Expectations

• Uses LLMs to perform the majority of development and maintenance work; spends their own time on planning, orchestration, validation, and outcome alignment
• Knows how to be prescriptive with AI — preventing it from doing the bare minimum, catching when it confabulates, and structuring prompts and context so output is fit-for-purpose the first time rather than the third
• Exercises judgment about when not to use AI — recognizes when a 10-minute hand edit beats a 40-minute prompt-and-validate cycle. Avoids AI ceremony for its own sake.
• Familiar with patterns like CLAUDE.md / project context files, MCP servers and tool integration, structured outputs, and managing parallel or long-running agent sessions
• Claude Certified Architect (CCA) credential is a plus but not required; demonstrated production work matters more than the badge

Tools / Environment

• Required: GitHub (comfortable with enterprise/internal GitHub instances, not just public repos); strong source control discipline
• Strongly preferred: Claude (Desktop, Code, or both); experience configuring MCP servers and skills for enterprise contexts
• Plus: SQL Server / data warehousing background; XML/XQuery exposure or willingness to ramp on MarkLogic; insurance or other regulated-industry experience
• Comfort with mainstream stack tools is assumed (CI/CD, basic cloud literacy, common IDEs)

EXPERIENCE: 

• Overall experience: 8–15+ years
• AI-first / LLM workflow experience: 1–3+ years (or equivalent demonstrated production use)

LANGUAGE SKILLS: English

PHYSICAL DEMANDS: 

• Regular use of hands and fingers to operate a computer keyboard, mouse, and other office equipment.
• Regular, repetitive movements such as typing, mouse movements, and scrolling. Ability to hear and understand spoken communications, both in person and via remote communication tools (e.g., phone, video conferencing).
• Ability to see and read computer screens and printed documents, as well as adjust focus. This includes prolonged periods of looking at a computer screen.

WORK ENVIRONMENT: Onsite preferred but will consider fully remote candidates

EXPECTED HOURS OF WORK: Monday–Friday, 40 hours per week, with flexibility as required to meet project deadlines or customer needs.

TRAVEL:  NA

***This is a hybrid role and the candidate is expected to work in the office and/or job site 3 days a week. 

The Role:

Reporting to the Senior Architect the Developer, Data and Integration will be responsible for maintaining the stability, scalability, and reliability of our enterprise integration landscape, particularly for B2B and EDI transactions that directly support revenue, supply chain operations, and financial processing.

At Kao, we offer amazing benefits that are available to you on your first day of employment (healthcare, 401(k) plus company match), 36 total days off (vacation + holidays + sick) and a reasonable salary range of $95,000 - $110,000. We also offer a hybrid work schedule (Needs to be in Cincinnati area or willing to relocate to the area).

What you will do:

• Design, develop, document and manage scalable integration solutions for B2B/EDI transactions (e.g., X12 850, 810, and 856 and EDIFACT) and partner onboardings. This can include end-to-end SDLC functions from analysis to development to testing to deployment to hyper care. This can further include project management related aspects such as scope, schedule, and status for these integration solutions. With familiarity, supervise and lead teams to produce such integration solutions.
• Develop and maintain application and data integration platform workflows using Informatica Integration Cloud Solutions (IICS) and Informatica Intelligent Data Management Cloud (IDMC) with initial focus on B2B/EDI flows, but will also include Cloud Application Integration (CAI), Cloud Data Integration (CDI), and Cloud Data Integration and Replication (CDIR). Support data quality, transformation, and mapping efforts across systems. This would also include scope, schedule, and status for these integration solutions.
• Collaborate with business units (e.g., supply chain, sales, finance) and internal and external teams to understand data needs and translate them into technical solutions. This would include using related tools such as Jira, Confluence, and Zephyr.
• Monitor and troubleshoot integration jobs and data flows to ensure reliability and performance. Document integration processes, data flows, and technical specifications.
• Participate in architecture discussions and contribute to the evolution of our integration and data platforms.

What you will need:

• Bachelor's degree or Equivalent Business Experience (Computer/Data Science or Business Related).
• 5+ years of B2B/EDI experience developing workflows and data mapping - especially within Cloud+SaaS.
• Familiarity with EDI standards (X12, EDIFACT, TRADACOMS) consumer products or supply chain context.
• Experience with EDI transactions for Retail/Supply Chain (Transactions such as X12 850, 855, 856, 810, 824, 864 and EDIFACT Equivalents).
• Familiarity with data transport for integration – using standards such as AS2, X.400, and EDI VAN.
• Experience with testing EDI solutions with EDI partners or 3rd Parties such as SPS, EDIComm.
• Understand standard business processes associated with EDI flows, such as: Order->Confirmation->Fulfillment->Invoice->Payment.
• Experience with SAP and IDOCs in conjunction with Integration Solutions.
• Informatica integration and data platforms: IICS and/or IDMC, with modules such as: Business to Business (B2B), Cloud Application Integration (CAI), Cloud Data Integration (CDI), and Cloud Data Integration and Replication (CDIR).
• Experience with EDI for 3PL, Logistics and Transportation (Transactions such as X12 940, 943, 944, 945, 211, 214 and EDIFACT Equivalents).
• Experience in designing/performing large scale testing for both new processes and regression testing.

What we offer: A friendly and flexible work environment with great compensation packages, benefits package, ongoing development and the opportunity to enhance your skills and deliver tangible results. At Kao your voice will be heard. Your opinion really counts. We believe that change comes from taking opportunities into your own hands, so we value and reward thinking and new ideas.

Hiring Process: Kao embraces the diversity and the individual personalities of its people because we believe it is diversity that makes us strong. This is why we welcome applications from all areas of the global community.

Want to learn more: If you feel you are as unique as our products and want to find out why 33,000 people across the globe opted for a career with us please visit our Americas website (https://www.kao.com/americas/en/).

Kao USA is an equal opportunity employer, including disability/vets.

#LI-Hybrid

The Role:

Reporting to the Senior Architect the Developer, Data and Integration will be responsible for maintaining the stability, scalability, and reliability of our enterprise integration landscape, particularly for B2B and EDI transactions that directly support revenue, supply chain operations, and financial processing.

At Kao, we offer amazing benefits that are available to you on your first day of employment (healthcare, 401(k) plus company match), 36 total days off (vacation + holidays + sick) and a reasonable salary range of $95,000 - $110,000. We also offer a hybrid work schedule (Needs to be in Cincinnati area or willing to relocate to the area).

What you will do:

• Design, develop, document and manage scalable integration solutions for B2B/EDI transactions (e.g., X12 850, 810, and 856 and EDIFACT) and partner onboardings. This can include end-to-end SDLC functions from analysis to development to testing to deployment to hyper care. This can further include project management related aspects such as scope, schedule, and status for these integration solutions. With familiarity, supervise and lead teams to produce such integration solutions.
• Develop and maintain application and data integration platform workflows using Informatica Integration Cloud Solutions (IICS) and Informatica Intelligent Data Management Cloud (IDMC) with initial focus on B2B/EDI flows, but will also include Cloud Application Integration (CAI), Cloud Data Integration (CDI), and Cloud Data Integration and Replication (CDIR). Support data quality, transformation, and mapping efforts across systems. This would also include scope, schedule, and status for these integration solutions.
• Collaborate with business units (e.g., supply chain, sales, finance) and internal and external teams to understand data needs and translate them into technical solutions. This would include using related tools such as Jira, Confluence, and Zephyr.
• Monitor and troubleshoot integration jobs and data flows to ensure reliability and performance. Document integration processes, data flows, and technical specifications.
• Participate in architecture discussions and contribute to the evolution of our integration and data platforms.

What you will need:

• Bachelor's degree or Equivalent Business Experience (Computer/Data Science or Business Related).
• 5+ years of B2B/EDI experience developing workflows and data mapping - especially within Cloud+SaaS.
• Familiarity with EDI standards (X12, EDIFACT, TRADACOMS) consumer products or supply chain context.
• Experience with EDI transactions for Retail/Supply Chain (Transactions such as X12 850, 855, 856, 810, 824, 864 and EDIFACT Equivalents).
• Familiarity with data transport for integration – using standards such as AS2, X.400, and EDI VAN.
• Experience with testing EDI solutions with EDI partners or 3rd Parties such as SPS, EDIComm.
• Understand standard business processes associated with EDI flows, such as: Order->Confirmation->Fulfillment->Invoice->Payment.
• Experience with SAP and IDOCs in conjunction with Integration Solutions.
• Informatica integration and data platforms: IICS and/or IDMC, with modules such as: Business to Business (B2B), Cloud Application Integration (CAI), Cloud Data Integration (CDI), and Cloud Data Integration and Replication (CDIR).
• Experience with EDI for 3PL, Logistics and Transportation (Transactions such as X12 940, 943, 944, 945, 211, 214 and EDIFACT Equivalents).
• Experience in designing/performing large scale testing for both new processes and regression.

What we offer: A friendly and flexible work environment with great compensation packages, benefits package, ongoing development and the opportunity to enhance your skills and deliver tangible results. At Kao your voice will be heard. Your opinion really counts. We believe that change comes from taking opportunities into your own hands, so we value and reward thinking and new ideas.

Hiring Process: Kao embraces the diversity and the individual personalities of its people because we believe it is diversity that makes us strong. This is why we welcome applications from all areas of the global community.

Want to learn more: If you feel you are as unique as our products and want to find out why 33,000 people across the globe opted for a career with us please visit our Americas website (https://www.kao.com/americas/en/).

Kao USA is an equal opportunity employer, including disability/vets.

#LI-Hybrid

At Armis, our Sales Engineers (SE) serve as the linchpin of every prospect engagement. Working closely with our prospects to demonstrate the value of the Armis agentless platform via console demonstrations, proof-of-value deployments, and targeted training sessions.

What you'll do...

Work closely with our prospects to:

• Provide virtual and in-person technical demonstrations
• Deploy proof-of-value installations
• Lead technical training sessions based on POV findings
• Support marketing activities, conferences, speaking engagements
• Consistently and cogently address our prospects needs through astute verbal and written communication skills
• Thrive in a team-oriented culture through delivering a significant individual contribution while collaborating with and strengthening teammates
• Think critically, spanning the sales process through customer support, troubleshooting, and developing new use cases for internal and external consumption.
• Develop prospect facing documentation
• Expected to travel up to 40% of the time on average (can vary by region)

Education:

• BS degrees in computer science, MIS, or equivalent experience required

Experience:

• 5+ years experience in technical positions required (SE, Pre-Sales Engineer, Solutions Architect) ideally for a Cyber Security vendor
• 5+ years of experience in customer-facing or customer support positions
• Solid understanding of networking concepts and technologies
• A demonstrated track record of taking ownership of complex initiatives and producing successful outcomes
• Experience closing complex cyber security SaaS solutions with Enterprise Customers and supporting Sales AE's / RSM's.

Knowledge in one or more of the following:

• IoT, OT, IoMT
• Wireless technologies (WLCs, Meraki, Aruba, etc.)
• Linux Operating Systems
• Virtualized environments
• Network knowledge
• Utility Scripting (Python preferred)

Accenture Federal Services is seeking a Cloud Engineer to deliver secure cloud platform implementations supporting government customers. This role focuses on designing, implementing, and managing enterprise-scale cloud infrastructure in classified and sensitive environments. The ideal candidate will thrive in our centralized vision, decentralized command culture that emphasizes ownership within Agile delivery.

What you’ll do:

• Cloud Infrastructure Engineering
  • Design and implement secure, scalable cloud architectures across multiple platforms based on program templates and established best practices
  • Develop and maintain Infrastructure as Code for consistent, repeatable deployments
  • Implement DevOps practices and CI/CD pipelines for rapid, reliable delivery
  • Configure and optimize cloud security controls and compliance measures
  • Design cloud native disaster recovery, backup, and business continuity solutions
  • Troubleshoot complex infrastructure issues and implement performance optimizations
• Agile Delivery & Innovation
  • Operate within Agile framework (participate in sprints, standups, retrospectives, and planning sessions)
  • Collaborate with cross-functional teams in fast-paced development cycles
  • Adapt to changing requirements and priorities while maintaining delivery quality
  • Drive continuous improvement in processes, tools, and methodologies
• Autonomous Operations & Leadership
  • Work independently within centralized vision framework while maintaining team alignment
  • Proactively identify infrastructure needs and optimization opportunities
  • Make technical decisions autonomously while communicating impact to stakeholders
  • Lead by example in demonstrating ownership, accountability, and innovation
  • Mentor team members and share knowledge across the organization
  • Drive technical standards and best practices adoption
• Security & Compliance
  • Implement and maintain security controls in cloud environments
  • Support security audits and compliance assessments for government requirements
  • Manage encryption, key management, and access controls
  • Monitor infrastructure for security threats and implement remediation
  • Develop security documentation and operational procedures
  • Stay current with evolving security requirements and cloud platform updates
• Cross-Platform Integration
  • Integrate multiple cloud platforms and hybrid environments
  • Develop solutions that leverage best capabilities across different cloud providers
  • Implement consistent security and operational practices across platforms
  • Support migration initiatives and platform optimization efforts

What you’ll need:

• 4 years of cloud engineering and infrastructure experience
• 2 years’ experience implementing secure cloud architectures for enterprise or government environments
• Experience with containerization and orchestration technologies

Bonus points if you have:

• Experience with cloud, networking, and security
• Bachelor’s degree in computer science, Information Systems, Engineering, or related technical field
• CompTIA Security+ (current) or equivalent DoD 8570 IAT Level II certification within 6 months of onboarding 
• AWS Solutions Architect Certification
• Familiarity with Infrastructure as Code and DevOps practices
• Experience with enterprise-scale cloud architecture design and implementation
• Experience developing and maintaining Infrastructure as Code: Terraform, CloudFormation, ARM templates, or similar
• Experience with container technologies: Docker, Kubernetes, container orchestration
• Experience with network architecture: VPC design, hybrid connectivity, security groups, load balancing
• Identity and Access Management across cloud platforms
• CI/CD pipeline development and automation
• Proficiency in Python, PowerShell, Bash, or similar scripting languages
• Experience with configuration management tools (e.g. Ansible, Chef, etc.)

Clearance:

Must have an active Secret clearance; TS with SCI eligibility preferred

#clearancejobs

We are seeking an experienced Information Systems Security Officer to join our team near Cincinnati, OH to lead security oversight for our secure cloud platform implementations supporting government customers. This role ensures continuous compliance with federal security standards while enabling agile delivery of cloud infrastructure solutions in classified and sensitive environments.

What you’ll do:

• Security Program Leadership
  • Serve as primary security authority for secure cloud platform implementations
  • Develop and maintain Information System Security Plans (ISSP) for government systems
  • Lead security control assessments and continuous monitoring programs
  • Coordinate with government security officers, SCAs, ISSMs, and AOs for system authorization
• Risk Management & Compliance
  • Implement and maintain Risk Management Framework (RMF) processes
  • Conduct security control assessments using NIST 800-53 and DoD requirements
  • Manage Plan of Action & Milestones (POA&M) and security remediation efforts
  • Ensure continuous compliance with FedRAMP, FISMA, and DoD security standards and applicable overlays
• Cloud Security Architecture
  • Design security controls for multi-cloud and hybrid government environments
  • Implement cloud-native security solutions: encryption, IAM, network segmentation
  • Configure security monitoring and incident response capabilities
  • Validate security implementations against STIG and CIS benchmarks
• Security Integration & DevSecOps
  • Integrate security controls into CI/CD pipelines and Infrastructure as Code
  • Implement security automation and continuous compliance monitoring
  • Collaborate with engineering teams to embed security throughout delivery lifecycle
  • Conduct security reviews for cloud architecture and deployment patterns
• Documentation & Reporting
  • Maintain security documentation packages for government reviews and audits in defined systems including but not limited to eMass
  • Prepare security deliverables: SSP, SAR, security briefings, and compliance reports
  • Support security audits, assessments, and customer security reviews
  • Create security standards, procedures, and training materials
• Tools
  • Work in AWS GovCloud, Azure Government, or Oracle Cloud
  • Work with vulnerability scanners, SIEM, monitoring platforms
  • Handle Infrastructure as Code security: Terraform, CloudFormation security
  • Review container security: Kubernetes security, container scanning, runtime protection
  • Review network security: VPC design, firewalls, intrusion detection

What you’ll need:

• 5 years cybersecurity experience with government systems and cloud environments
• 3 years direct ISSO experience supporting federal programs or systems
• 3 years’ experience with risk management frameworks (RMF) and security control implementation
• 6 months of eMASS experience
• Experience with FedRAMP, FISMA, and/or DoD security compliance requirements

Bonus points if you have:

• CISSP, CISM, or GIAC certification
• CompTIA Security+ (current) or equivalent DoD 8570 IAT Level II certification required within 6 months of onboarding 
• AWS certification - Solutions Architect – Associate
• Bachelor's degree in Cybersecurity, Information Systems, Computer Science, or related field 
• Willing to work a hybrid schedule in Evandale, OH 

Security Clearance:

An active Secret level clearance is required; TS/SCI preferred

Lead Cloud Engineer (P486)

Cincinnati / Chicago

SUMMARY

The Lead Cloud Engineer will help technology teams architect and operate cloud infrastructure on Microsoft Azure, applying Cloud Engineering principles and defining solutions where gaps exist. They will collaborate with teams to deliver cloud engagements that achieve business objectives, with a strong emphasis on Azure management, governance, and day-to-day operational excellence (identity, networking, security, cost, and reliability). The role owns primary responsibility for driving/evolving the Cloud Engineering team capabilities in Azure and Infrastructure as Code, including Terraform standards and reusable modules. The role is responsible for day-to-day operational response and problem resolution for referred incidents and is a participant in an on-call rotation.

RESPONSBILITIES:

• Prioritize referred incidents from the Service Desk, Engineering/Data Science projects and other technology teams and provide/guide problem resolution for those incidents, including managing any necessary vendor engagement and serving as escalation point for the team
• Own and improve Azure platform operations and administration, including subscription/resource organization, RBAC/identity integration, networking, security controls, monitoring, and cost management
• Responsible for managing and improving our Terraform ecosystem (Terraform Cloud/Spacelift, policy/standards, and reusable modules with best practices built in)
• Implement and enforce Infrastructure as Code workflows (code review, testing, CI/CD, drift detection, and remediation) to improve repeatability and auditability
• Responsible for input to and for meeting team SLO targets and collaboratively ensuring team objectives are met
• Independently define, prioritize and execute project tasks and plans to deliver cloud-related infrastructure and solutions
• Document work and solutions appropriately and review Cloud Engineering team documentation for accuracy/completeness
• Contribute technical/procedural ideas to Cloud Engineering team operations and define/execute strategies to integrate these solutions as appropriate
• Engage with other technology and infrastructure teams as necessary to complete tasks
• Responsible for one or more cloud-related technologies including complete ownership of all aspects of the technology (maintain, upgrade, train, mentor, document)
• Participate routinely in team on-call rotation

QUALIFICATIONS, SKILLS, & EXPERIENCE

• 4-year degree in a technology related discipline or equivalent work experience
• 5+ years of hands-on experience designing, administering, and operating production workloads in Microsoft Azure
• 5+ years of experience with Infrastructure as Code (IaC) and cloud automation
  • Required IaC deep tooling experience: Terraform/OpenTofu, module creation and management, and policy/guardrail application.
• 5+ years of experience with SDLC and working with Agile development teams
• Microsoft Azure Administrator Associate (or higher) certification preferred
• Experience with container technologies (e.g., Docker) and familiarity with Kubernetes/AKS are a plus
• Nice to have tooling experience:
  • Python or other high-level interpreted programming language
  • GitHub Actions
  • Helm
  • Datadog or other enterprise observability tool
  • Artifactory or other enterprise package management system
• Ability to manage small to medium size IT-related projects, solving related problems and working to tight deadlines while under pressure
• Strong interpersonal and communication skills with demonstrated experience leveraging these skills with technical teams and non-technical business units
• Desire to learn new technology and grow across different areas of technology
• Demonstrated ability to prioritize own workload with multiple responsibilities and adaptability to changes in those priorities

#LI-SSS

Senior Data Scientist Consultant, SPI – Agent Platform Team

Summary

The Agent Platform Team, within AI Enablement at 84.51°, owns and manages the core platforms that power data science and AI across the organization. This role sits on the SPI (Science Platform Innovation) squad and is focused specifically on the Databricks environment and its evolving AI/ML capabilities.

You will be the bridge between the engineers building and maintaining our Databricks platform and the data scientists who use it every day. You are not building models for end-clients. Instead, you ensure the platform behaves as expected for the people on it—that new capabilities are tested, documented, and adopted smoothly, and that practitioner pain points make it back to the platform team in a way that shapes the roadmap.

You’ll build deep familiarity with Databricks’ infrastructure and AI powered capabilities —including Genie Code, Genie spaces, Agent Bricks, MLflow, and other features as they emerge—as well as the Unity Catalog governance layer that underpins them. You’ll test and evaluate new Databricks features and relevant third-party integrations from the perspective of an end-user, document your findings, and help the team decide what to adopt, how to roll it out, and what to skip.

This is a small, highly collaborative squad. Everyone pitches in on a bit of everything. Priorities shift frequently as the Databricks roadmap evolves. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority.

Responsibilities

• Voice of the practitioner: Serve as the primary liaison between data scientists using Databricks and the platform engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions and roadmaps.
• Technology evaluation: Lead the testing and evaluation of new Databricks capabilities (e.g., Mosaic AI features, Model Serving enhancements, Genie, new Unity Catalog functionality) and relevant third-party tools. Document findings, recommended use cases, limitations, and rollout considerations. Over time, this may evolve from hands-on beta testing toward designing and coordinating evaluation efforts across groups of practitioners.
• Onboarding & enablement: Write guides, maintain documentation, lead training sessions, and run office hours to help data scientists adopt new platform capabilities. Partner with Learning & Development where appropriate. Serve as a first line of support when teams hit roadblocks.
• Adoption & communication: Evangelize Databricks capabilities to increase awareness and drive adoption. Produce clear release notes, communications, and materials for both technical and non-technical audiences.
• Cross-functional collaboration: Work closely with the solution architect, cloud engineer, and product senior on the squad to ensure proposed technologies have well-defined use cases and that guidelines and best practices are established. Act as a data science ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices.
• Governance & compliance support: Help validate that new platform capabilities meet enterprise requirements around security, compliance, observability, and data governance (e.g., Unity Catalog lineage, Azure connectivity).

Qualifications & Experience

• Bachelor’s degree in mathematics, statistics, computer science, economics, or a related discipline.
• 2–4 years of experience in data science, AI/ML development, or applied analytics.
• 2–4 years of experience in tech consulting, retail analytics, or related professional services.
• Hands-on experience with Python, SQL, PySpark and Databricks
• Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams.
• Experience partnering with software engineering and/or product management teams.
• Familiarity with LLMs, prompt engineering, or agentic AI concepts is a strong plus.
• Experience with the Databricks ecosystem (Unity Catalog, MLflow) is a strong plus.
• Exposure to agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen) is a plus.

Skills

• Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation.
• Ability to influence across teams and seniority levels without direct authority.
• Comfort operating in ambiguity—priorities shift frequently, and you need good instincts about where to focus.
• Strong project and time management skills; able to manage multiple priorities with minimal oversight.
• Curiosity and enthusiasm for emerging AI technologies and a genuine desire to become a subject matter expert on the Databricks platform and its AI capabilities.

#LI-SSS

Sr. ML Data Engineer, Relevancy Sciences – Personalization & Loyalty Strategy (P508)

The Relevancy Sciences Team is responsible for creating relevant and personalized customer experiences for Kroger's E-commerce platform, which ranks among the top 10 ecommerce companies in the US. We generate trillions of recommendations at scale and deliver them to millions of Kroger customers daily. Our team maintains a comprehensive portfolio of machine learning solutions for search & product recommendations. We are seeking a talented and experienced Senior ML Data Engineer to join our data science team, with specialized expertise in building search and recommender systems.

Role Overview

You will architect, build, and operate the critical data infrastructure that powers our machine learning models, spanning from feature engineering to training data generation. This role serves as the bridge between ML requirements and production data systems, with ownership of feature stores, training/evaluation pipelines, and ML-specific data operations. You will enable data scientists to iterate rapidly while ensuring production-grade reliability and scalability.

What You'll Do

1. Feature Store Operations & Governance (40%)

• Own the feature request lifecycle from intake through deployment, driving reusability and maintaining a searchable feature catalog
• Design and build scalable feature pipelines that compute features from diverse sources (BigQuery, Azure Data Lake) and write to Feature Store infrastructure (Vertex AI Feature Store + BigQuery)
• Build streaming feature engineering pipelines using Apache Beam/Dataflow for real time feature computation and low-latency model serving with sub-second data freshness
• Ensure point-in-time correctness and online/offline feature consistency to prevent data leakage
• Implement drift detection, data quality monitoring, and alerting mechanisms
• Develop self-service tools and templates that enable teams to independently create features

1. Training & Evaluation Data Pipelines (30%)

• Build automated pipelines that generate ML-ready training datasets by combining features with labeled target variables
• Implement point-in-time correctness logic and sophisticated sampling strategies to ensure balanced, representative datasets
• Maintain comprehensive dataset versioning for full traceability across model versions
• Generate detailed evaluation reports with performance metrics segmented by business dimensions
• Support operations across both Azure and Vertex AI environments during platform migration

1. ML Data Operations & Reliability (20%)

• Serve as Tier 2/3 on-call responder for feature data quality incidents, diagnosing and resolving pipeline failures and performance issues
• Maintain comprehensive lineage tracking and metadata management for full data traceability
• Support regulatory compliance through proper data governance and documentation

1. Standards, Education & Collaboration (10%)

• Establish and enforce feature naming conventions, data quality thresholds, and point-in-time correctness patterns
• Conduct workshops on feature engineering best practices and provide expert guidance on feature design
• Partner with Data Scientists, ML Engineers, Data Engineering, and MLOps teams to optimize infrastructure and align with technical strategy

What We're Looking For

Required Qualifications:

• 3+ years of hands-on experience building and maintaining ML data pipelines in production environments with demonstrated expertise in scaling and reliability
• Expert-level SQL skills and advanced Python programming capabilities with experience in data processing frameworks and ML libraries
• Proven experience with cloud data platforms, with strong preference for GCP ecosystem including BigQuery, Dataflow, Vertex AI Feature Store, and associated ML services
• Deep understanding of end-to-end ML workflows including training data preparation, model evaluation methodologies, and serving infrastructure requirements
• Production operations mindset with experience in monitoring, alerting, on-call responsibilities, and meeting SLA commitments

Strongly Preferred Qualifications:

• Hands-on experience with Feature Store platforms such as Vertex AI Feature Store, Feast, Tecton, or similar enterprise solutions
• Deep knowledge of point-in-time correctness principles, temporal joins, and time-series data modeling best practices
• Multi-cloud experience with both Azure and GCP platforms, including data migration and hybrid cloud architectures
• Strong familiarity with core ML concepts including feature engineering, label creation, train/test/validation splits, and data leakage prevention
• Background spanning both analytics engineering and ML-specific data engineering with understanding of the unique requirements of each domain

Success Indicators:

• Improved Data Science Productivity:Data Scientists spend significantly less time on data preparation and infrastructure concerns, enabling more focus on model development and experimentation
• Increased Feature Reuse:Measurable increase in feature reuse across multiple models and teams, reducing redundant development effort and improving consistency
• Reliable Automation:Training and evaluation data generation processes operate reliably with minimal manual intervention and high uptime
• Efficient Incident Response:Data quality incidents are triaged quickly with clear escalation paths and rapid resolution times
• Accelerated ML Iteration:Overall ML model development and iteration velocity improves measurably across all teams using the platform

#LI-SSS

#LI-Remote

At Armis, our Sales Engineers (SE) serve as the linchpin of every prospect engagement. Working closely with our prospects to demonstrate the value of the Armis agentless platform via console demonstrations, proof-of-value deployments, and targeted training sessions.

What you'll do...

Work closely with our prospects to:

• Provide virtual and in-person technical demonstrations
• Deploy proof-of-value installations
• Lead technical training sessions based on POV findings
• Support marketing activities, conferences, speaking engagements
• Consistently and cogently address our prospects needs through astute verbal and written communication skills
• Thrive in a team-oriented culture through delivering a significant individual contribution while collaborating with and strengthening teammates
• Think critically, spanning the sales process through customer support, troubleshooting, and developing new use cases for internal and external consumption.
• Develop prospect facing documentation
• Expected to travel up to 40% of the time on average (can vary by region)

Education:

• BS degrees in computer science, MIS, or equivalent experience required

Experience:

• 5+ years experience in technical positions required (SE, Pre-Sales Engineer, Solutions Architect) ideally for a Cyber Security vendor
• 5+ years of experience in customer-facing or customer support positions
• Solid understanding of networking concepts and technologies
• A demonstrated track record of taking ownership of complex initiatives and producing successful outcomes
• Experience closing complex cyber security SaaS solutions with Enterprise Customers and supporting Sales AE's / RSM's.

Knowledge in one or more of the following:

• IoT, OT, IoMT
• Wireless technologies (WLCs, Meraki, Aruba, etc.)
• Linux Operating Systems
• Virtualized environments
• Network knowledge
• Utility Scripting (Python preferred)

SUMMARY:

We are seeking a dynamic, hands-on, strategic and highly collaborative Vice President, Strategic initiatives to lead cross-functional initiatives that drive technological innovation and operational excellence across the firm. This role will serve as a bridge between software engineering, infrastructure, marketing, financial services and leadership team, with a strong focus on delivering value through solutions that scale. 

You’ll be the architect and implementor of transformative projects — from AI-driven automations to system integrations supporting client acquisition and experience. This is a roll-up-your-sleeves role for a technically proficient leader with exceptional project vision, execution discipline, and an explorative mindset. 

This is an full time Exempt position with a salary range of $150-$180K annual salary. This position will be in our Folsom, CA, Addison, TX, Cincinnati, OH office or working remote. 

Key Responsibilities 

• Project Leadership & Execution 

• Lead high-impact, cross-disciplinary special projects across engineering, marketing tech, operations, and M&A needs. 

• Serve as the strategic and technical owner of initiatives involving AI, automation, strategic CRM enhancements or new tool selection, and marketing enablement tools. 

• Be a vocal champion for AI progress within the firm, partnering with the AI council on strategy and execution 

• Actively seek out meaningful, scalable use cases within the business where AI can unlock efficiency, insights, or innovation. 

• Work closely with the financial services group and Analytics team. 

• Technical Innovation & Hands-On Development 

• Evaluate, prototype, and implement modern technologies (AI/ML, automation frameworks, low-code platforms) including automation. 

• Work hands-on when necessary — writing proof-of-concept code, creating technical documentation, or leading architecture design. 

• Stay current on AI trends and capabilities enough to confidently assess what’s possible, what’s hype, and how to frame solutions that are both ambitious and achievable. 

• Platform Strategy & Integration 

• Find creative ideas to build and support data migration and conversion efforts related to acquisitions and business process optimization. 

• Have a strong focus of efficiency, scalability, security and adherence to compliance standards. 

•  Partner with Marketing, Service, advisors and Client Experience teams to co-implement technology-backed growth strategies. 

• Infrastructure & Scaling 

• Support the infrastructure team to select and deploy internal and client-facing tools that is scalable, secure, and efficient.  

• Leverage third party service providers and offshore vendors for expertise. 

• Research and find tools suited best for the business and perform POC to vet solutions for enhanced client experience and associate efficiency. 

Essential Skills & Qualifications 

Technical & Functional 

• Strong experience in software engineering and architecture (e.g., full-stack development, APIs, system integrations), project management and business analysis. 

• Expertise in: 

• Salesforce FSC (Financial Services Cloud) preferred. 

• HubSpot, Regal.io or other dialers, Tamarac or other Portfolio accounting systems 

• Data transformation/migration tools, Synapse or Microsoft Fabric data systems 

• AI/ML frameworks (e.g., OpenAI, StackAI, RAG frameworks) 

• Workflow automation (Zapier, Mulesoft, custom API integrations) 

Strategic & Operational 

• Proven track record of leading transformative cross-functional projects. 

• Experience supporting technology needs during mergers and acquisitions, especially data conversion and onboarding. 

• Deep understanding of RIA or financial services business is mandatory. 

Leadership & Collaboration 

• Highly communicative and capable of translating complex technology into business value. 

• Leadership experience in matrixed environments — able to influence without direct authority. 

• Curiosity-driven and comfortable navigating ambiguity. 

Preferred Background 

• Minimum bachelor’s in Computer Science, Engineering, or related field. 

• 10+ years of experience in software or systems engineering with a minimum of 3 years in a high growth RIA in a senior role 

• 5+ years experience in a similar role implementing transformative technical advancements.