Why HiFour
Work That Matters. Technology That Scales. A Team That Grows Together.
At HiFour, you will not maintain legacy systems in isolation — you will architect and deliver enterprise solutions used by thousands. Our engineers work directly with decision-makers at Fortune-level organizations, solving problems in cloud infrastructure, data engineering, and AI that have real operational impact. If you want ownership, mentorship, and a front-row seat to cutting-edge technology, this is the team.
Remote-Friendly
Work from anywhere with flexible hybrid arrangements designed around your productivity, not a clock
Learning Budget
Dedicated annual budget for certifications (AWS, GCP, Azure), conferences, and advanced courses — your growth is an investment, not an expense
Health & Wellness
Comprehensive health insurance covering you and your family, plus wellness programs to keep you at your best
Growth Path
Structured career progression with hands-on mentorship from senior architects and engineering leaders who have built enterprise systems for 15+ years
Open Positions
Your Next Career Move Starts Here
We are actively hiring across engineering, cloud operations, and data. These are not support roles — you will own outcomes, work directly with enterprise clients, and build systems that run at scale.
Senior Full-Stack Developer
Own the full lifecycle of enterprise web applications serving healthcare and financial services clients. You will design system architecture, lead feature delivery from concept to production, mentor a growing engineering team, and collaborate directly with client stakeholders. This is a high-visibility role where your technical decisions shape products used by thousands.
Requirements
- 5+ years with React, Next.js, or Angular
- Strong backend experience with Node.js, Python, or Java
- Experience with cloud platforms (AWS or Azure)
- Familiarity with CI/CD pipelines and containerization
- Excellent communication and client-facing skills
DevOps Engineer
Design and operate the CI/CD pipelines, Kubernetes clusters, and cloud infrastructure that power enterprise-grade applications. You will drive GitOps adoption, build internal developer platforms, and directly influence how engineering teams ship code. If you want to work on infrastructure that handles real production traffic at scale, this role delivers.
Requirements
- 3+ years in DevOps or SRE roles
- Proficiency with Kubernetes, Docker, Terraform
- Experience with AWS or Azure cloud services
- Knowledge of GitOps tools (ArgoCD, Flux)
- Strong scripting skills (Bash, Python)
Database Administrator
Take ownership of production database environments across Oracle, PostgreSQL, and MongoDB for enterprise clients in healthcare and finance. You will architect high-availability configurations, lead disaster recovery planning, and optimize performance for workloads where downtime is measured in dollars. This is a role with real accountability and direct business impact.
Requirements
- 4+ years of DBA experience with Oracle or PostgreSQL
- Experience with MongoDB or Elasticsearch is a plus
- Strong knowledge of backup, recovery, and HA configurations
- Performance tuning and query optimization expertise
- Experience with cloud database services (RDS, Aurora)
Data Engineer
Engineer the data infrastructure behind enterprise decision-making. You will build and maintain production data pipelines, data lakes, and warehousing solutions on AWS — working with massive datasets to deliver analytics-ready data products that executive teams rely on daily. Strong ownership and direct collaboration with data science and business intelligence teams.
Requirements
- 3+ years in data engineering or related roles
- Proficiency with AWS data services (Redshift, Glue, S3, Kinesis)
- Experience with ETL/ELT tools and frameworks
- Strong SQL skills and familiarity with Python/Spark
- Understanding of data governance and quality frameworks
AI/ML Engineer
Design, build, and deploy agentic AI systems and production ML models for enterprise clients tackling real operational challenges. You will work across multi-agent orchestration, NLP, predictive analytics, and generative AI — building autonomous systems that act, learn, and deliver measurable ROI. This is applied agentic AI with tangible outcomes.
Requirements
- 3+ years in ML engineering or data science
- Proficiency with Python, TensorFlow, or PyTorch
- Experience with NLP, computer vision, or generative AI
- Knowledge of MLOps and model deployment pipelines
- Strong analytical and problem-solving skills
Don't See Your Role? We Still Want to Hear From You.
Exceptional talent does not always fit a job listing. If you are a senior engineer, architect, or specialist who thrives on solving hard problems at enterprise scale, send us your resume. We create roles for the right people.
Send Your Resumehr@hifour.io