At Improzo (Improve + Zoe; meaning Life in Greek), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused for delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you!
People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE!
Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action.
Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities.
Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility.
Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences.
We are seeking a highly skilled and hands-on DevOps Engineer to join our engineering team and play a key role in building, deploying, and operating scalable, reliable, secure, and cost-efficient cloud infrastructure for our next-generation Analytics Platform.
As a DevOps Engineer, you will work across Kubernetes, AWS, CI/CD, Infrastructure-as-Code, GitOps, release management, security, networking, and FinOps. You will partner closely with software engineering teams working on microservices to enable reliable deployments and resilient production environments.
This role requires strong production ownership and advanced troubleshooting skills, with the ability to diagnose complex infrastructure and application issues, automate operational processes, and continuously improve platform reliability, deployment velocity, security, and cloud efficiency.
