Three ways to put senior engineering capacity to work.
Direct placements, embedded pods, or advisory — each with its own intake, its own delivery model, and the same vetted bench behind it.
AI-Powered Recruitment
Reduce time-to-hire by up to 60% with predictive matching across our bench of 250+ vetted seniors.
- AI-driven sourcing & matching
- Bias-reduced resume screening
- Predictive retention modeling
- Real-time pipeline analytics
- Cultural-fit behavioral AI
Engineering Pods
Purpose-built, embedded teams. 3–12 engineers configured around your stack and delivery cadence. 40–50% below US blended rates.
- Tech lead + senior/mid composition
- AI-matched against your stack
- Time-zone-aligned nearshore LATAM
- Embedded in your Jira, Git, CI/CD
- Flex capacity as priorities shift
Professional Services
Consulting, program management, and strategic advisory augmented by AI tooling. Transformation with measurable results.
- AI-assisted planning & allocation
- Predictive program analytics
- Automated reporting
- Digital transformation roadmaps
- Stack assessment & recommendations
Live roles, synced from Verdant ATS.
Every listing is a role Innovus is actively recruiting for. Filter by discipline, stack, seniority, or time zone.
Senior Databricks Engineer
Staff AI Engineer — Agentic Systems
Cloud Platform Engineer (Kubernetes)
Senior Full-Stack Engineer (TypeScript)
Why senior engineers choose Innovus.
The caliber of the work
Our engineers build for gaming companies processing 400M users, financial institutions on petabyte-scale data, and food-service operators coordinating 50+ distributed tech teams.
The peer group
250+ vetted seniors in Data Engineering alone — Databricks MVPs, Airflow MVPs, Microsoft Data Platform MVPs, Kong Champions, AWS and GCP certified specialists. When you join Innovus, you join that peer group — not a spreadsheet of contractors.
Compensation and growth
Competitive LATAM-market comp benchmarked to senior US/Canadian salaries. Certification support for AWS, Databricks, Snowflake, CKA, CKS, Azure, GCP. Mentorship from Staff and Principal engineers already on the bench.
Location and flexibility
Nearshore hubs across Latin America, aligned to North American time zones. Placements support remote-first, hybrid, and on-site — depending on the role.
Six stages. Transparent at every step.
Bench depth, stack coverage, and certifications.
Same proof points for clients and candidates. Clients validate bench depth before engaging. Candidates find themselves in the description.
Data Engineering
AI / ML
DevOps & Cloud
Software Engineering
Cybersecurity
Product & Delivery
Engineering fundamentals translate. Domain context is matched on the way in.
Financial Services, Banking & Insurance
Retail banking, insurance carriers, credit bureaus, investment firms.
Healthcare & Life Sciences
Health IT, hospital systems, biotech, pharma, clinical research.
Retail, E-commerce & Consumer Tech
Omnichannel retail, marketplaces, food services.
Media, Entertainment & Gaming
Streaming, studios, gaming platforms, sports data.
AI, Data & Analytics Consulting
Analytics platforms, data modernization, AI-native product cos.
Industrial & Advanced Manufacturing
Food & industrial manufacturing, materials, automotive.
Cybersecurity & Cloud Security
Security platforms, MSSPs, enterprise cloud security.
Technology, Software & IT Services
Software products, IT services, MSPs.
MarTech, AdTech & Creator Economy
Marketing platforms, ad networks, creator infrastructure.
Energy, Utilities & Telecom
Oil and gas, power and utilities, telcos.
Real Estate & PropTech
Commercial, residential platforms, PropTech.
Government, Education & EdTech
Public sector, higher ed, EdTech platforms.
Blockchain, Crypto & Digital Assets
Exchanges, custody, Web3 infra, on-chain analytics.