We're looking for an engineer who enjoys variety . In this role you'll work on deployments , CI/CD, automation , troubleshooting production issues , product configuration , and scripting . No two days are the same , so adaptability and a willingness to learn are essential .
Day in the Life of the Software Engineer (DevOps) :
Collaborates with Product Development, Architecture, and Infrastructure teams to support the design and delivery of cloud solutions for enterprise applications.
Contributes to the development and enhancement of cloud-native capabilities that improve the scalability , resilience, and delivery of products.
Develops, tests, and maintains automation tooling, CI/CD pipelines, and cloud delivery processes, with guidance from more experienced team members.
Works with containerization technologies, Kubernetes, and Helm to deploy and support platform capabilities.
Assists development teams in adopting cloud and DevOps practices and using the platform effectively.
Supports the implementation and maintenance of monitoring, logging, and alerting solutions for applications, infrastructure, and shared services.
Investigates operational issues, contributes to troubleshooting activities, and escalates complex matters when appropriate .
Learns about new tools, technologies, and cloud-native patterns and shares relevant findings with the team.
Works within a Scrum/Agile environment, contributes to the DevOps backlog, and participates in sprint ceremonies.
Collaborates with cross-functional teams to follow and continuously improve deployment and operational practices.
Required Qualifications - About you :
Bachelor's degree in Computer Science , Software Engineering, Information Technology, or equivalent practical experience.
Foundational experience working with Linux environments and writing basic Bash scripts.
Familiarity with automation or scripting using Bash and/or Python.
Basic knowledge of at least one cloud platform, such as AWS or Azure.
Familiarity with containerization technologies, such as Docker, and an understanding of container orchestration concepts.
Exposure to CI/CD concepts and tools, such as Jenkins, GitHub Actions, or Azure DevOps.
Experience using Git and familiarity with modern software development workflows.
Basic understanding of monitoring, logging, and troubleshooting concepts. Exposure to tools such as Prometheus, Grafana, Graylog , or Loki is an advantage.
Understanding of networking fundamentals, including DNS, HTTP/HTTPS, TCP/IP, SSL/TLS, and SSH.
Good analytical, troubleshooting, and problem-solving skills, with the ability to seek guidance and escalate complex issues when appropriate .
Ability to contribute across automation, deployments , operations, and application support activities.
Responsible and proactive approach to assigned work, with a willingness to take ownership of tasks.
Good communication and collaboration skills.
Strong interest in learning new technologies and developing expertise in complex business domains.
Highly Preferred :
Basic knowledge of SQL and relational databases.
Exposure to Kubernetes and Helm.
Familiarity with incident response and production support processes.
Exposure to secrets management solutions, such as AWS Secrets Manager or Azure Key Vault.
Familiarity with messaging platforms, such as RabbitMQ or Kafka.
Basic understanding of security best practices and vulnerability management.
AI Fluency & Growth Mindset - We welcome candidates who :
Understand core AI concepts and apply them ethically to enhance productivity , insights , and decision-making .
Craft effective prompts to optimize the quality and relevance of AI- generated outputs .
Explore and apply agentic AI systems , using or managing autonomous agents to streamline…