Job Title:
Junior/Mid Cloud Solutions Architect & DevOps Engineer
Location:
[Remote / On-site / Hybrid]
About the Role:
We are looking for a curious and driven Junior to Mid-level Cloud Solutions Architect & DevOps Engineer to join our growing team. This role is a unique hybrid that blends cloud architecture and hands-on DevOps, with a focus on building scalable data lakehouse solutions across major cloud platforms (AWS, GCP, Azure). You will architect and implement infrastructure from the ground up, leveraging cloud storage, databases, container orchestration, serverless services, and more.
You’ll work individually initially but with clear pathways to grow into a leadership role, guiding and mentoring future team members.
Responsibilities:
- Design, build, and maintain cloud-based data lakehouse architectures using a combination of cloud storage, databases, VMs, Kubernetes, Docker, and serverless technologies.
- Implement SaaS-style application hosting via web and serverless platforms for end-user accessibility.
- Manage infrastructure configurations including secrets, environment variables, and secure access controls.
- Build and maintain CI/CD pipelines and adopt GitOps practices to streamline deployments.
- Optimize cloud resource usage for cost efficiency without compromising performance.
- Collaborate with cross-functional teams to ensure seamless integration and deployment of cloud solutions.
- Continuously learn and stay updated on new cloud services, big data technologies, and best practices.
- Prepare to take on leadership responsibilities as the team grows.
Required Skills & Experience:
- Practical experience with at least one major cloud platform (AWS, GCP, Azure); willingness and ability to learn others.
- Strong programming skills in Python and SQL. Experience with PySpark is a bonus.
- Familiarity with containerization (Docker) and orchestration (Kubernetes).
- Experience with version control systems (Git) and CI/CD tools.
- Understanding of cloud services pricing models to help design cost-effective solutions.
- Solid grasp of DevOps practices, including configuration management, secrets handling, and environment setup.
- Self-motivated, eager to learn, and able to work independently.
Nice to Have (Bonus):
- Prior experience with big data platforms or streaming data solutions like Kafka.
- Knowledge of modern analytics and data stack tools (e.g., dbt, DuckDB, Cloudflare R2).
- Understanding of cloud networking, VPNs, security features, and firewall configurations.
What We Offer:
- Opportunity to shape and lead a growing cloud architecture and DevOps team.
- Exposure to cutting-edge cloud technologies across multiple providers.
- Collaborative and supportive work environment that values curiosity and continuous learning.
- Competitive salary and benefits package.
About EXL Sports Analytics:
EXL Sports Analytics team provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach to clients in the sports industry. We work with some of the topmost sports organizations in the world.
About EXL:
EXL (NASDAQ:EXLS) is a leading data analytics and operations management company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Headquartered in New York, EXL has more than 40,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Sports Analytics team provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach to clients in the sports industry. We work with some of the topmost sports organizations in the world.
ResponsibilitiesJob Title:
Junior/Mid Cloud Solutions Architect & DevOps Engineer
Location:
[Remote / On-site / Hybrid]
About the Role:
We are looking for a curious and driven Junior to Mid-level Cloud Solutions Architect & DevOps Engineer to join our growing team. This role is a unique hybrid that blends cloud architecture and hands-on DevOps, with a focus on building scalable data lakehouse solutions across major cloud platforms (AWS, GCP, Azure). You will architect and implement infrastructure from the ground up, leveraging cloud storage, databases, container orchestration, serverless services, and more.
You’ll work individually initially but with clear pathways to grow into a leadership role, guiding and mentoring future team members.
Responsibilities:
- Design, build, and maintain cloud-based data lakehouse architectures using a combination of cloud storage, databases, VMs, Kubernetes, Docker, and serverless technologies.
- Implement SaaS-style application hosting via web and serverless platforms for end-user accessibility.
- Manage infrastructure configurations including secrets, environment variables, and secure access controls.
- Build and maintain CI/CD pipelines and adopt GitOps practices to streamline deployments.
- Optimize cloud resource usage for cost efficiency without compromising performance.
- Collaborate with cross-functional teams to ensure seamless integration and deployment of cloud solutions.
- Continuously learn and stay updated on new cloud services, big data technologies, and best practices.
- Prepare to take on leadership responsibilities as the team grows.
Required Skills & Experience:
- Practical experience with at least one major cloud platform (AWS, GCP, Azure); willingness and ability to learn others.
- Strong programming skills in Python and SQL. Experience with PySpark is a bonus.
- Familiarity with containerization (Docker) and orchestration (Kubernetes).
- Experience with version control systems (Git) and CI/CD tools.
- Understanding of cloud services pricing models to help design cost-effective solutions.
- Solid grasp of DevOps practices, including configuration management, secrets handling, and environment setup.
- Self-motivated, eager to learn, and able to work independently.
Nice to Have (Bonus):
- Prior experience with big data platforms or streaming data solutions like Kafka.
- Knowledge of modern analytics and data stack tools (e.g., dbt, DuckDB, Cloudflare R2).
- Understanding of cloud networking, VPNs, security features, and firewall configurations.
What We Offer:
- Opportunity to shape and lead a growing cloud architecture and DevOps team.
- Exposure to cutting-edge cloud technologies across multiple providers.
- Collaborative and supportive work environment that values curiosity and continuous learning.
- Competitive salary and benefits package.
About EXL Sports Analytics:
EXL Sports Analytics team provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach to clients in the sports industry. We work with some of the topmost sports organizations in the world.
About EXL:
EXL (NASDAQ:EXLS) is a leading data analytics and operations management company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Headquartered in New York, EXL has more than 40,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Sports Analytics team provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach to clients in the sports industry. We work with some of the topmost sports organizations in the world.
QualificationsBachelor's/Master's in Engineering 2-5 years
Skills Required
- Practical experience with at least one major cloud platform (AWS, GCP, Azure)
- Strong programming skills in Python
- Strong SQL skills
- Familiarity with containerization using Docker
- Familiarity with container orchestration using Kubernetes
- Experience with version control (Git) and CI/CD tools
- Understanding of cloud services pricing models and cost optimization
- Solid grasp of DevOps practices including configuration management and secrets handling
- Bachelor's or Master's degree in Engineering
- 2-5 years of relevant experience
- Experience with PySpark
- Experience with big data or streaming platforms like Kafka
- Knowledge of analytics/data stack tools (dbt, DuckDB, Cloudflare R2)
- Understanding of cloud networking, VPNs, security features, and firewall configurations
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
