Full Stack Engineer at Object Computing, Inc.

Object Computing, Inc.·4d ago

Role details

Work type

Hybrid

Employment

Full-Time

Job description

Object Computing, Inc. (OCI)

OCI is looking for a Full Stack Engineer to build scalable, high-performance applications using modern web and cloud technologies. You’ll work across the full development lifecycle, collaborating in agile teams to design, develop, and deploy innovative solutions.

About OCI

At OCI, we create cutting-edge technology solutions using open-source software and partnerships with Amazon and Google. We serve industries like Aerospace, Energy, and Agriculture, delivering real-time, cloud-enabled, and distributed systems that drive innovation.

Responsibilities

Design, develop, and deploy full-stack applications using modern JavaScript (React, Vue, or Angular) and backend technologies (Node.js, Java, or Python).
Build and integrate RESTful APIs and microservices.
Ensure code quality through automated testing and code reviews.
Optimize applications for scalability, performance, and security.
Collaborate in Agile teams and mentor junior engineers.

Requirements

Advanced in full-stack development with Java, Node.js, or Python.
Experience in modern JavaScript frameworks (React, Vue, or Angular).
Experience with microservices, RESTful APIs, and cloud platforms (AWS, GCP, or Azure).
Strong understanding of database technologies (SQL & NoSQL).
Familiarity with CI/CD, containerization (Docker, Kubernetes), and DevOps tools.
Experience with serverless architectures and GraphQL.
Passion for problem-solving, collaboration, and innovation.

Preferred Qualifications

Degree in Computer Science, Data Engineering, or a related field, or equivalent experience.
Cloud certifications (AWS, GCP, Azure)

Why work at Object Computing, Inc.

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.

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.

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