Career Opportunity: Senior Software Engineer (Contract-to-Perm) with KPI Solutions in Cincinnati, OH

6-month contract to permanent | Hybrid / Position is based in Cincinnati, OH

Do you want to build software that controls real-world warehouse automation (WES/WCS)? Are you excited to own customer-facing features end-to-end—from requirements through production rollout? Do you want to modernize and scale a platform using Java, Spring-based microservices, and RESTful APIs? If so, then this role is for you!

KPI is seeking an experienced Senior Software Engineer to join our Software Group on a 6-month contract-to-hire basis. You’ll help design, develop, and evolve our Warehouse Execution and Control Systems (WES/WCS), software that serves as the central nervous system for advanced materials-handling environments.

This role is a great fit for a senior engineer who enjoys solving complex problems, collaborating with cross-functional teams, and working directly with customers on real-world automation solutions.

What You’ll Do

• Design, develop, and customize KPI’s Warehouse Execution and Control System (WES/WCS) for new and existing customers.
• Collaborate with internal teams on analysis, architecture, development, and testing of software solutions.
• Work directly with customers to gather requirements and implement tailored system customizations.
• Participate in the evolution of software architecture, tools, and frameworks working with technologies such as Java, Angular, Spring/Spring-based microservices, MS SQL Server, RESTful APIs, and JDBC/iBatis/Stored Procedures.
• Support system configuration, solution analysis, and occasional end-user training at client sites (approximately 25% travel).
• Communicate effectively across engineering, product, and stakeholder teams.
• Develop deep expertise in materials handling automation and warehouse technologies.

What We’re Looking For

• Bachelor’s degree in Computer Science or a related field (or equivalent experience).
• 5-7 years of professional software development experience.
• Strong experience with Java, Angular, and SQL (or similar tech stacks).
• Proven expertise writing and maintaining complex SQL queries.
• Experience developing resilient Springbased microservices.
• Solid understanding of API design for clientserver applications, including RESTful APIs.
• Proactive mindset around best practices, security, and modern development approaches.
• Strong communication and collaboration skills.

Why Join KPI Solutions?

• High ownership, high impact: you’ll set standards and build the platform other engineers ship on.
• Modernization work: containerization, automation, observability, and security improvements that matter in production.
• Cross-regional collaboration: partner closely with our EMEA DevOps teammate to build repeatable operations.
• Hybrid flexibility: onsite Mon-Wed, remote Thu-Fri.

Ready to Apply?

Apply if you’re excited to own automation, reliability, and secure delivery—and to turn POCs into production improvements.

KPI Solutions is an Equal Opportunity Employer (EEO/M/F/D/V).

No third‑party applications, please.

#ZR

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

Senior Data Scientist Consultant, Managed Agent Platform (MAP) – Agent Platform Team P2392 

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 MAP (Managed Agent Platform) squad and is focused on helping stand up a new, centralized platform that simplifies and accelerates the design, development, deployment, and monitoring of AI agents across the organization. 

The MAP is being built in response to growing demand for a flexible, no-code/low-code solution that enables both technical and non-technical users to build and deploy agents without deep engineering overhead. The platform is early-stage — the team is actively evaluating different platforms and tooling, defining workflows, and establishing standards. You will be joining at the ground floor and helping shape what this platform becomes. 

You will be the bridge between the engineers building/maintaining the MAP and the data scientists and agent builders who will use it. You are not building agents for end-clients. Instead, you ensure the platform works for the people on it — that capabilities are tested, documented, and adopted smoothly, and that practitioner needs make it back to the engineering team in a way that shapes the roadmap. 

You’ll bring hands-on familiarity with the open-source agent ecosystem — including frameworks like LangChain, LangGraph, Google ADK, and OpenAI Agents SDK — and apply that knowledge to evaluate platform capabilities, inform design decisions, and help practitioners understand what’s possible. As the platform matures, you’ll help onboard users, develop best practices, and drive adoption across the organization. 

This is a small, engineer-heavy squad that is standing something up from scratch. Everyone pitches in on a bit of everything. Priorities will shift frequently as the platform takes shape. 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 and agent builders and the MAP engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions, standards, and the roadmap. 

• Platform evaluation & definition: Help evaluate and select platform tooling and contribute to defining core platform capabilities — including agent building workflows, orchestration patterns, tool/API connectivity, observability and tracing, evaluation frameworks, and governance controls. Test and document findings, recommended use cases, limitations, and rollout considerations. 

• Onboarding & enablement: As the platform matures, write guides, maintain documentation, lead training sessions, and run office hours to help data scientists and agent builders adopt the MAP. Serve as a first line of support when teams hit roadblocks. 

• Adoption & communication: Evangelize the MAP to increase awareness and drive adoption across the organization. Produce clear communications and materials for both technical and non-technical audiences. 

• Cross-functional collaboration: Work closely with engineers, the solution architect, and product lead on the squad to ensure platform capabilities have well-defined use cases and that guidelines and best practices are established. Act as an agent-building ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices. 

• Governance & compliance support: Help validate that platform capabilities meet enterprise requirements around security, compliance, observability, scalability, and data governance. 

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 and SQL. 

• Hands-on experience with one or more agent frameworks (e.g., LangChain, LangGraph, Google ADK, OpenAI Agents SDK, CrewAI, AutoGen) is required. 

• 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, and agentic AI concepts. 

• Exposure to agent platforms is a strong 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 — this platform is early-stage, and priorities will shift frequently as the team learns what works. 

• Strong project and time management skills; able to manage multiple priorities with minimal oversight. 

• Deep curiosity about the agentic AI ecosystem and a genuine desire to become a subject matter expert on agent orchestration, evaluation, observability, and deployment patterns. 

• Comfort working on a small, engineer-heavy team where you are often the only non-engineer voice in the room. 

#LI-SSS

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

Lead API Platform Engineer (Cincinnati / Chicago) P181

About 84.51°

84.51° is a data science and technology company (owned by Kroger) that turns customer data into decisions that improve how people shop. Engineers here work with modern cloud and data tech at meaningful scale, alongside product, data science, and business teams.

The role

We’re hiring a Lead API Platform Engineer to join our Application Delivery team within Platform Engineering. This is an individual contributor (IC) technical lead role, owning the API gateway experience end-to-end — from pre-production through production. You’ll help shape technical direction, mentor engineers, and continuously improve our on-call/escalation rotation — participating and fielding gateway-related production issues when on rotation.

If you meet most—but not all—requirements, we still encourage you to apply.

What you’ll do

• Own our gateway platforms: Maintain and evolve our Kong Enterprise API Gateway and Azure Application Gateway configurations, standards, and best practices—and help design what’s next.
• Strengthen API security: Implement and promote API security standards, including OAuth2, JWT, and SAML, along with access controls and encryption.
• Improve reliability and performance: Monitor, troubleshoot, and optimize using Datadog. Tune latency, caching behavior, and rate limiting to support high-performing APIs.
• Automate delivery: Build and maintain automation and CI/CD workflows (using GitHub Actions) for gateway deployments and policy/configuration updates.
• Enable great developer experience: Improve how teams build and test APIs by standardizing gateway onboarding, providing self-service patterns, and supporting reliable local development workflows (e.g., local gateway tooling, mock/test routes, and clear “run it locally” docs).
• Shape work for success: define and decompose scope into ready-to-build requirements (clear user stories and acceptance criteria), aligning on delivery standards, and proactively removing blockers to keep execution on track.
• Support production operations: Provide L2/L3 support, participate in an on-call rotation, lead root-cause analysis, and drive permanent fixes.
• Collaborate and document: Partner with development, QA, security, and architecture teams. Create clear documentation, SOPs, and onboarding materials to help teams ship confidently.

What we’re looking for

• Bachelor’s degree (Master’s degree desired) typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program.
• 5+ years of hands-on experience operating API gateways in production environments (especially Kong)
• Strong API fundamentals (REST, JSON) and security best practices
• Experience working in a public cloud environment, plus solid networking knowledge (DNS, firewalls, load balancers) – Azure preferred but not required
• Comfort scripting and/or coding in one or more languages (e.g., Python, Shell, Java, Node.js)
• Familiarity with DevOps/Agile practices, Docker/Kubernetes/Helm, and Terraform (or other IaC tools)
• Clear communication skills and a collaborative mindset in a fast-moving environment

#LI-SSS