--- title: 'Object Computing Technologist at Object Computing, Inc.' canonical: 'https://feeny.ai/job/object-computing-technologist-object-computing-inc-saint-louis-vrx0xh0qqdvm' type: 'job' last_seen: '2026-11-10' --- # Object Computing Technologist at Object Computing, Inc. - **Company:** Object Computing, Inc. - **Location:** Saint Louis, MO - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-11-03 - **Last confirmed live:** 2026-11-10 - **Apply:** https://jobs.lever.co/oci/6e20eaf8-e38d-48dd-9ae2-7a9f7239eddd ## Job description The short version Some clients call us to build something new. Others need one more great engineer on a team that's already moving. Either way, you're the reason they call back. As a Technologist at Object Computing (OCI), you'll work inside client organizations on systems they can't afford to get wrong: aerospace and defense platforms, financial systems, healthcare data, products millions of people use every day. Some engagements you'll help run from discovery to delivery. Others, you'll join a client's team as one of their own for months at a time. The job is the same in both cases. Do excellent work, tell people the truth, and leave the place better than you found it.  We hire for this role several times a year. There may not be an open seat today. If you apply, we'll keep you in mind and reach out when the work fits. What the work looks like You'll move between two kinds of engagements, and plenty of them are a little of both. - Project consulting. OCI owns the outcome. We start with technical discovery (the reality behind the brief, not just the brief), shape an architecture and roadmap, then build alongside the client's people so they understand the system as well as we do when we hand it over. - Embedded engineering. You join a client's team: their standups, their backlog, their tools. You're there to add capacity, but you don't stop being an OCI technologist. You still bring an opinion, flag risks early, and make the people around you better. On a given week you might: - Sit in on a planning session and ask the question nobody else asked - Untangle a legacy system so it can finally be modernized instead of patched - Build or extend a data pipeline, cloud platform, AI workflow, or user-facing product - Write up two or three options with honest tradeoffs, then push back with data when it matters - Pair with a client engineer until they don't need you for that thing anymore - Tell your account lead what's going well, what isn't, and what's coming The work spans OCI's practice areas: AI Solutions, AI Productivity, Application Modernization, Data Engineering, Experience Design, and Platform Engineering across AWS, Google Cloud, and Azure. Nobody expects you to know all of it. We do expect you to be curious about the parts you don't. Many engagements run as small pods of two to four OCI engineers. Each pod needs a delivery lead: a strong engineer who keeps the work on track, keeps the client close, and helps the rest of the pod do their best work. If that's where you want to grow, tell us. Who does well here The best OCI technologists have a few things in common. You don't need to be great at all of them on day one, but you should recognize yourself in most. - You balance speed and technical rigor. You prototype quickly to validate ideas, evaluate architectural tradeoffs, and build reliable production systems that last. - You translate between code and business value. You explain complex technical decisions to stakeholders, listen to domain constraints, and focus on real outcomes. - You elevate client engineering teams. You pair, mentor, and share modern practices so client engineers are equipped to maintain and grow the system after handoff. - You adapt quickly across modern stacks. Whether stepping into a legacy monolith or a cloud-native platform, you get up to speed fast and leverage AI tooling to accelerate delivery. - You take ownership and communicate proactively. You flag technical risks early, recommend clear paths forward, and build trust through transparent execution. ## What you bring We hire for range and judgment, not a checklist of tools. Engagements change; how you think travels with you. ## What we're looking for - Several years of professional software engineering, delivered for real users in production - Depth in at least one area: backend or full-stack development, cloud and platform work, data engineering, AI/ML integration, or front-end and experience design - Comfort walking into an unfamiliar codebase, team, or industry and getting useful quickly - Experience working directly with stakeholders, not just receiving tickets from them - Clear writing and speaking, including in front of people who aren't engineers - Practical, day-to-day use of AI tools in how you build Bonus points - Prior consulting or client-facing work - Experience in regulated or high-stakes environments such as aerospace, defense, finance, or healthcare - Hands-on time with AWS, Google Cloud, Azure, or Databricks - Open-source contributions, including to frameworks like Micronaut, Grails, or OpenDDS - Mentoring, teaching, writing, or speaking about your work - You've led a small team of engineers on a client engagement. ## Why OCI We've been building software for 33 years, and 95% of our clients continue working with us year after year. We operate on open standards and commit to complete knowledge transfer so our partners stay because they genuinely value the relationship. Our team brings deep technical expertise, averaging 19 years of experience, within a collaborative structure focused on your growth. We're proud to serve impact-driven organizations worldwide—including NASA, Pfizer, ESPN, and the U.S. Air Force—as a certified women-owned firm headquartered in St. Louis and partnered with leading cloud platforms. Not actively looking? Apply anyway, or reach out. Some of our best hires started with "just curious." ## 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. [objectcomputing.com/who-we-are](https://objectcomputing.com/who-we-are/)