Job DescriptionJob DescriptionCompany Description
Resultant is an outcomes-focused consulting firm committed to helping clients make technology a strategic asset and use data to guide better decisions. But we’re not just data and tech experts; we are problem solvers and industry experts who work alongside our clients to help them achieve their mission.
We don’t solve problems for our clients. We solve problems with them.
We take the time to deeply understand goals and roadblocks to drive toward outcomes that serve organizations, people, and communities. Through outcomes driven by data analytics, technology solutions, digital transformation, and beyond, our team works with clients in both the public and private sectors to solve their most complex challenges. We start by learning as much as we can about who they are, how they work, and what they’re striving for so we can feel their problems as our own. Partnering with our clients means their desired outcomes are always top of mind, their challenges and strengths guiding our efforts. We build client-focused relationships before we build unique solutions that blaze past expectations.
Originally founded in Indianapolis in 2008, Resultant now employs more than 350 team members who operate remotely and from offices and hubs around the United States including Indianapolis, IN; Fort Wayne, IN; Denver, CO; Atlanta, GA; and Dallas, TX.
We’re Resultant. Clients partner with us to see a difference. People join us to make one.
Job Description
Resultant is building a large health information exchange (HIE) platform for a state government agency that integrates across multiple agencies, external partners, and identity providers. We are seeking an experienced Google Cloud Platform Engineer to stabilize, support and operate the GCP infrastructure in the long term as the initial buildout comes to close. The tenant is owned by the state, and the job requires close coordination with State IT and operating within their strict standards, guidelines and controls.
The position requires an experienced, hands-on GCP cloud engineer capable of operating with a high degree of autonomy in a risk-averse, regulated environment where platform reliability, security, and data confidentiality are critical.
You will work with Google Cloud Platform infrastructure, Terraform-based deployments, and Azure DevOps CI/CD pipelines, helping deliver a scalable, compliant, and operationally stable platform aligned with State standards and healthcare data requirements.
This is a remote role; however, preference will be given to candidates based in the Indianapolis, IN, Dallas, TX, or Chicago, IL areas.
Key Responsibilities
Platform Stabilization & Operations
Environment Manager: responsible and accountable for overall health, availability, performance, security, cost and day-to-day operations of the GCP platform and toolsetLead efforts to stabilize and optimize the HIE platform, addressing production issues, technical debt, and deployment inconsistenciesLead or participate in incident response, monitoring, operational support, governance, root cause analysis, security and vulnerability remediations, and resolution of platform issuesMaintain technical documentation, runbooks, deployment standards, security artifactsEngage with partner teams in a collaborative delivery model
CI/CD & DevOps (Azure DevOps)
Partner with architecture, security, and data teams to align platform architecture with project deliverables and contractual, regulatory, and operational expectationsBuild and maintain Azure DevOps pipelines for infrastructure and application deploymentSupport migration and alignment of existing GitHub-based pipelines into Azure DevOpsImplement and maintain repeatable deployment frameworks for containerized platform and application servicesSupport application teams with environment configuration and release processesImprove deployment reliability and rollback strategies for production releases
Cloud Infrastructure Engineering (GCP)
Design, implement, maintain, operate GCP infrastructure across DEV, QA, STAGE, PROD etc.Manage Infrastructure-as-Code (IaC) using Terraform, aligned with IT-provided baseline services (VPCs, DNS, service accounts), controls and standardsImplement and maintain secure, scalable cloud patterns including networking, IAM, and service integrationsDeploy and manage containerized workloads (e.g., Kubernetes/GKE or equivalent)
Healthcare & Data Integration Context
Support integrations across healthcare, public health, and social services systemsWork with data ingestion pipelines, secure file transfer (e.g., SFTP/MOVEit), APIs, and new partner onboardingAlign platform with client’s interoperability patterns and data governance expectations
Identity, Access, & Security
Implement and manage federated identity patterns (BYOC) across multiple Identity Providers (e.g., State systems, State SSO, external IdPs)Support role-based access controls and auditability aligned with data access policiesCollaborate with security stakeholders to support ATO readiness and compliance auditsEstablish, improve and operate industry-standard tools, metrics procedures and governance around security and vulnerability management.
Collaboration, Leadership, & Engagement
This role operates within a multi-stakeholder environment and requires direct partnering with State agencies, External healthcare and social services partners, Internal engineering, data, security and audit
The position requires a collaborative, delivery-focused mindset, with the ability to navigate ambiguity and provide structured, actionable solutions.
Qualifications
Bachelor’s Degree or equivalent experience in Computer Science, Information
Technology, Engineering, or a related field5+ years of extensive, hands-on experience in cloud engineering or DevOps roles primarily on GCP in large mission-critical production environmentsDeep expertise in managing Terraform-based infrastructure deploymentsStrong experience with Azure DevOps (Repos, Pipelines, CI/CD)Experience with containerized platforms (Kubernetes, Docker) including container observabilityProficiency in scripting (PowerShell, Bash, Python)Experience with Airflow/Cloud Composer especially for orchestrating data pipelinesExperience with Git-based workflows and release managementStrong troubleshooting skills in complex, integrated environmentsGoogle Associate Cloud Engineer certification or higherWilling to travel as needed for business needs (approximately 10%)Must be legally authorized to work in the United States for any employer without sponsorship
Domain Experience Required
Experience with Healthcare IT, HIE, or SHIE platforms with healthcare and Health Information Exchange (HIE) or Social Health Information Exchange (SHIE) experienceFamiliarity with HIPAA, PII, and data governance requirementsExperience integrating with external partners, state agencies, or regulated systems
Preferred/Desirable Qualifications
Experience with state government or public sector environmentsExperience in operations of critical SLA-bound environments with ongoing project releasesFamiliarity with Identity-Aware Proxy (IAP), federated identity, or OAuth/OIDC patternsExperience with data platforms (BigQuery, data lakes, data mesh architectures)Exposure to Security Command Center, monitoring, and compliance toolingExperience in Azure cloud environment is highly desirable. This includes operating and managing large production business applications, analytic solutions, data lakes, lakehouses and mesh, big-data platforms and Ai and ML workloads. Azure Databricks experience is highly valued.Desirable certifications:Google Professional Cloud ArchitectGoogle Professional Cloud DevOps EngineerGoogle Professional Security Operations EngineerOther Terraform, Kubernetes, or equivalent including Certified Kubernetes AdministratorEquivalent Azure certifications
Additional Information
What It's Like to Work Here
At Resultant, we are driven by purpose—partnering with clients to take on their toughest challenges and creating outcomes that make a real difference. Success here means lasting impact, not just delivered projects. We work as collaborative experts, leaning into complexity with confidence and humility, asking smart questions, sharing ideas freely, and combining our diverse expertise to turn challenges into clear, transformative solutions. We make our outcomes visible by sharing results, stories, and lessons learned, because growth happens through shared experience.
Accountability & Ownership
Resultant offers a flexible, high-trust environment, paired with a shared commitment to accountability:
Take ownership of your work from start to finish and deliver on your commitments to clients and coworkersCommunicate proactively, especially when priorities shiftFocus on outcomes, follow-through, and measurable impactShow up where it matters, in person or virtually, when it strengthens relationships or resultsDo the small things brilliantly: respond timely, stay organized, and follow through to build trust
We trust each other to own our work and deliver exceptional results. Flexibility means autonomy paired with accountability: the freedom to work in ways that fit your life, balanced with the reliability our clients and coworkers count on.
Is Resultant the right spot for you?
You may thrive here if you bring curiosity and a consulting mindset to every challenge, take ownership of your growth, and give and receive feedback with intention. If you're energized by bold ideas, continuous learning, and investing in the people around you, this is your place. At Resultant, we show up for each other, own our outcomes, and build leaders who create lasting impact for our clients, our communities, and each other.
Equal Opportunity Employer
We embrace AI across everything we do, and that includes how you prepare for this interview. Feel free to use AI tools to research the role, practice your responses, and put your best foot forward. What matters to us is getting to know the real you — how you think, how you communicate, and what you genuinely bring to the table. Our interviews are designed to go deeper than any polished answer, so come curious and come as yourself without the support of an AI tool during our conversation.
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