
201 - 500 employees
Founded 2018
💼 Consulting
🏥 Healthcare
🛡️ Insurance
Consulting • Healthcare • Insurance
Exavalu is a business advisory and technology consulting firm that partners with enterprises to deliver high-impact digital transformation. Run by former CIOs, CXOs, and consulting principals, Exavalu offers strategic advisory, core systems transformation, systems integration, data & analytics, innovation and privacy/compliance solutions across regulated sectors. The firm focuses on Insurance, Banking & Financial Services, and Healthcare & Life Sciences, providing industry-tailored technology implementations and program leadership using partners like Guidewire, Salesforce, MuleSoft, PegaSystems and AWS.
🕒 July 8
Improve your chances of getting an interview by checking your resume score before you apply.

201 - 500 employees
Founded 2018
💼 Consulting
🏥 Healthcare
🛡️ Insurance
Consulting • Healthcare • Insurance
Exavalu is a business advisory and technology consulting firm that partners with enterprises to deliver high-impact digital transformation. Run by former CIOs, CXOs, and consulting principals, Exavalu offers strategic advisory, core systems transformation, systems integration, data & analytics, innovation and privacy/compliance solutions across regulated sectors. The firm focuses on Insurance, Banking & Financial Services, and Healthcare & Life Sciences, providing industry-tailored technology implementations and program leadership using partners like Guidewire, Salesforce, MuleSoft, PegaSystems and AWS.
• Design, develop, test, and deploy scalable backend services and microservices using C# and .NET Core / .NET • Build and maintain secure, documented RESTful APIs for enterprise applications • Develop backend components integrating SQL databases, enterprise systems, third-party services, and cloud-native platforms • Design and optimize database schemas, stored procedures, queries, and data access layers • Implement microservices architecture patterns, service-to-service communication, API gateways, resiliency, logging, and monitoring • Deploy and support backend applications on AWS using cloud-native services, containers, serverless components, or managed infrastructure • Collaborate with architecture, product, data engineering, application engineering, and governance teams • Implement secure coding, authentication, authorization, secrets management, audit logging, and role-based access controls • Participate in code reviews, technical design discussions, troubleshooting, production support, and performance tuning • Build reusable backend components, API libraries, integration services, and common utilities • Support CI/CD pipelines, automated testing, deployment automation, and environment configuration • Integrate backend services with LLM-enabled capabilities, AI services, RAG pipelines, vector databases, or LLM endpoints • Create and maintain technical documentation covering architecture, APIs, data flows, deployment, dependencies, and operational procedures
• 4–6 years of experience • Bachelor’s or master’s degree in computer science, Software Engineering, Information Technology, or a related technical field • Strong hands-on experience developing production-grade backend applications using C# and .NET Core / .NET • Proven experience designing, developing, and maintaining RESTful APIs and enterprise backend services • Strong understanding of microservices architecture, distributed systems, API design, and backend integration patterns • Strong SQL skills, including database design, query development, optimization, indexing, and performance tuning • Experience working with AWS cloud services and deploying applications in cloud-based environments • Experience with API security, authentication, authorization, logging, exception handling, and secure coding practices • Familiarity with CI/CD pipelines, Git-based version control, automated builds, testing, and deployment processes • Good understanding of object-oriented programming, design patterns, data structures, asynchronous programming, and clean code principles • Experience troubleshooting production issues, analyzing logs, identifying performance bottlenecks, and supporting application reliability • Ability to work independently, collaborate with cross-functional teams, and deliver high-quality technical solutions in an enterprise environment • Preferred: basic knowledge of LLMs, prompt engineering, AI service integration, or LLM-powered application workflows • Preferred: experience integrating backend APIs with AI/LLM platforms • Preferred: familiarity with RAG, embeddings, semantic search, or vector databases • Preferred: experience with messaging systems, event-driven architecture, Docker, Kubernetes, additional AWS services, infrastructure-as-code, regulated enterprise environments, and observability tools
• Permanent remote working model • Flexible working depending on the needs of employees, customers and the business • Part-time work may be available • Working outside normal 9-5 business hours may be available • Welcome back program for people returning after a long break due to health or family reasons • Diverse and inclusive workforce and culture • Career growth opportunities
Apply Now🕒 July 7
Application Engineer helping enterprise customers adopt VMware Kubernetes Service on VMware Cloud Foundation. Responsible for guiding design, validation, deployment, and customer success with Kubernetes platforms.
AWS
Azure
Cloud
Google Cloud Platform
Kubernetes
OpenShift
VMware
🕒 July 7
Senior Fullstack Engineer at 3Pillar, collaborating on AI-native products for global clients. Focus on agile software development and mentoring within a remote-first culture.
SQL
.NET
🕒 July 7
Design and build foundational pieces of our agentic AI security platform at Simbian. Collaborate with founders and leaders to deliver and improve essential features in security operations.
AWS
Azure
Cloud
Cyber Security
Distributed Systems
Google Cloud Platform
Microservices
Node.js
Python
Go
🕒 July 4
Senior Cloud Database Engineer focusing on improving the reliability and scalability of AWS databases at Toku. Collaborate with teams to automate workflows and troubleshoot production issues.
AWS
Cloud
MySQL
Python
SQL
🕒 July 4
Backend Engineer at Miratech developing scalable, secure backend systems. Focused on Python and cloud technologies for backend development and integration of services.
Angular
AWS
Cloud
DynamoDB
EC2
Java
JavaScript
Microservices
MongoDB
MySQL
Node.js
NoSQL
Postgres
Python
React
Splunk
SQL
Terraform
Vue.js