--- title: 'Cloud Engineer at Object Computing, Inc.' canonical: 'https://feeny.ai/job/cloud-engineer-object-computing-inc-reqye0h74jbm' type: 'job' last_seen: '2026-09-08' --- # Cloud Engineer at Object Computing, Inc. - **Company:** Object Computing, Inc. - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2025-04-03 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.lever.co/oci/c69b5353-d759-4209-941b-63c59c99e9a7 ## Job description Object Computing, Inc. (OCI) OCI is seeking a Cloud Engineer to design, deploy, and manage cloud infrastructure and applications. You will integrate cloud architecture with modern software engineering practices, ensuring scalability, security, and performance for OCI and its clients. ## About OCI At OCI, we build cutting-edge cloud solutions using open-source software and strategic partnerships with Amazon and Google. We deliver full lifecycle engineering across industries like Aerospace, Energy, and Agriculture, helping clients maximize the value of smart, connected technologies. ## Responsibilities - Design, develop, and deploy cloud-based applications. - Manage and optimize cloud environments (AWS, GCP, Azure). - Automate cloud infrastructure with IAC (Terraform, Ansible, CDK), CI/CD, and DevOps best practices. - Troubleshoot and enhance cloud performance, security, and scalability. - Educate and support teams on cloud adoption and best practices. - Stay ahead of emerging cloud technologies to drive innovation. ## Requirements - Hands-on experience with AWS, GCP, or Azure (multi-cloud preferred). - Cloud certifications (AWS, GCP, Azure) are a plus. - Proficiency with Terraform, Docker, Kubernetes, and CI/CD tools. - Experience with distributed applications, APIs, and networking. - Coding experience (Python, Java, or Go) is a plus. - Strong problem-solving skills and a collaborative mindset. ## Preferred Qualifications - Degree in Computer Science, Data Engineering, or a related field, or equivalent experience. - Experience with AI/ML-driven data solutions and real-time Cloud data processing. ## About Object Computing, Inc. ## Company Overview - **One-liner**: A women-owned technology consulting firm that designs, modernizes, and connects mission-critical systems for enterprises in aerospace, defense, finance, healthcare, and other high-stakes industries. - **Entity Type**: Private (bootstrapped, no disclosed funding) - **Headquarters**: St. Louis, Missouri, United States - **Founded**: 1993 - **Founders**: Not publicly disclosed ## Core Business - Primary industries: IT Services and IT Consulting, with deep specialization in aerospace, defense, finance, gaming, transportation, and healthcare. - Target customers: B2B – Fortune 2000 enterprises and government agencies that require reliable, secure, and scalable systems. - Mission: “Engineer mission-critical systems for performance and agility” with a focus on open standards, knowledge transfer, and long-term client partnerships. ## Products & Services OCI offers integrated service lines rather than named products. Each is a consulting engagement: - **AI Solutions**: Design and build AI-powered systems, agentic workflows, and custom integrations for production environments – emphasizing observability, reliability, and governance at scale. - **Application Modernization**: Modernize legacy systems using open-source software, maximizing interoperability, reuse, and scalability. - **Data Engineering**: Transform scattered data into reliable insights via pre-built platforms, pipelines, and AI-augmented analytics for secure, regulated environments. - **Experience Design**: Persona-driven research, AI-powered prototyping, and design craft to make complex domains intuitive and engaging. - **Platform Engineering**: Developer experience, self-service infrastructure, and cloud strategies across AWS, Google Cloud, and Azure – built so clients stay in control. - **Open Standards**: All work is architected for interoperability and reuse; no vendor lock-in. - **Knowledge Transfer**: Every engagement ensures the client’s team deeply understands the system before handover – documented as “a formality, not a cliff.” ## Market Standing - **Valuation/Market Cap**: Not disclosed (privately held) - **Key Metric**: Annual revenue of approximately **$42.5 million** (estimated); **159 employees** (+1.8% YoY); **95% client retention** year over year. - **Notable Clients/Partners**: Serves leaders across aerospace, defense, finance, gaming, transportation, and healthcare. Clients include Boeing, Mastercard, Bayer, and others (based on talent migration data). - **Growth Signals**: 33 years in business; 230 organizations served globally; average engineer experience of 19 years; 5 active job postings (up 25% YoY); expanding geographies with employees in 18 countries. ## Competitive Advantages - **Deep domain expertise**: Engineers average 19 years of experience, tackling the most complex, high-stakes systems. - **Open standards philosophy**: Clients retain full control of their technology – no proprietary lock-in or forced dependencies. - **Knowledge transfer built-in**: Engagements are designed so the client team achieves independence, earning a 95% retention rate. - **Women-owned**: A diverse leadership structure (CEO Stefanie Thelen, Executive Chairman Gina Bremehr) that differentiates in government and enterprise procurement. - **Proven reliability**: Trusted by sectors where failure is not an option – aerospace, defense, healthcare, finance. ## Strategic Focus - **Convergence of data, AI, and modern software engineering**: Helping clients embed AI tooling, redesign engineering workflows, and build agentic, production-ready systems. - **Platform and developer experience**: Investing in self-service infrastructure and cloud-native strategies to accelerate client delivery. - **Talent and team growth**: Active hiring for senior engineers and data specialists, with a focus on knowledge transfer and long-term client partnerships. ## Why Work Here - **Engineering culture**: Rated 4.1/5.0 for culture and 4.0/5.0 for career growth (49 reviews). Engineers are treated as skilled professionals, not “resources.” - **Work environment**: On-site presence required for many roles (St. Louis, MO). Some roles may offer hybrid flexibility; current openings include “On Site” and “Onsite” positions. - **Compensation**: Competitive – e.g., Senior Programmer Analyst ~$122k, Machine Learning Engineer ~$131k (as reported on LinkedIn). - **Perks & highlights**: Work on truly mission-critical systems for top-tier clients; high level of autonomy and ownership; strong emphasis on continuous learning and open source contributions. - **Stability**: 33-year track record, 95% client retention, and consistent growth provide long-term career stability. ## Sources 1. [Lever.co – Object Computing Careers](https://jobs.lever.co/oci) 2. [objectcomputing.com](https://objectcomputing.com/) 3. [linkedin.com/company/objectcomputing](https://linkedin.com/company/objectcomputing) 4. [objectcomputing.com/about-us](https://objectcomputing.com/about-us/) 5. 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