Are you an experienced, passionate pioneer in technology? A system professional who wants to work in a collaborative environment. As an experienced SRE Dev Ops/Python/Linux Developer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery. PDM practitioners are local to client project locations, minimizing extensive travel, and providing you with a full career path within the firm.
Work you’ll do/Responsibilities
- Able to troubleshoot complicated, cross-platform issues handling OS, Networking, Database in a cloud-based environment and handle live production incidents, debug/troubleshoot application, and infrastructure issues, follow, and implement SRE best practices.
- Managing infrastructure services, responsible for including, but not limited to, deployment, operation, and troubleshooting.
- Continue to automate, scale, and manage cloud infrastructure.
- Work with team to establish service level objectives and monitor to ensure the objectives are met.
- Execute automation for known cloud-operations tasks and create new automation for new situations or issues you encounter; automate everything.
- Collaborate with a great team to maintain, monitor, and improve amazing cloud-based infrastructure that solves real-world problems for end-users.
- Facilitate blame-free root cause analysis meetings in the event of a production-systems incident so that the team can learn from mistakes and improve our systems and run books.
- Be vigilant about security and adhere to best practices to secure our cloud infrastructure and real-time platform.
- Design, write and deliver software and automation to dramatically improve availability, scalability, latency, and efficiency of infrastructure.
- Apply automation and software to any tasks or parts of the system that would benefit from it or are performed manually
- Monitor application performance, take steps to improve overall application performance and stability.
- Long term multi-year project based assignment with multi-media client.
The Team
The US Cloud Engineering Offering focuses on enabling our client’s end-to-end journey from On-Premise to Cloud, with opportunities in the areas of Cloud Strategy and Op Model Transformation, Cloud Development & Integration, Cloud Migration, and Cloud Infrastructure & Managed Services. Cloud Engineering supports our clients as they improve agility, resilience and identifies opportunities to reduce IT operations spend through automation by enabling Cloud. We accelerate our clients toward a technology-driven future, leveraging vendor solutions, Deloitte-developed software products, tools, and accelerators.
Qualifications
Required
- Bachelor's degree or equivalent experience
- 4+ years of Dev Ops or Site Reliability Engineering experience at the enterprise level
- 4+ years of strong development/scripting skills in Python or Golang
- 3+ years experience with Infrastructure As Code (Terraform, Cloud Formation, Ansible)
- 3+ years experience with Linux groups and strong knowledge with containerization (Docker), orchestration (Kubernetes), Mesos, Flink, Linux/Open-Source Environment
- 3+ years of software engineering in large scale production environment
- 2+ years experience inMessage Que Systems (Kafka, RabbitMQ) Storage
- Java skills such as Elastic Search, NoSQL, Mongo DB
- Familiarity with Linux systems and command line system administration
- Experience securing corporate networks, cloud networks, and VPNs.
- Strong interpersonal and communication skills
- Experience supporting dedicated/on-premises environments, along with planning the migration of those environments to a cloud provider
- Consulting background. Experience working at client sites.
- Limited immigration sponsorship may be available
- Live near or willing to relocate to Los Angeles or Seattle area
Preferred
- Live in or near Culver City, CA or Seattle, WA
- Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline
- Software engineering experience in SQL, my SQL
- Hands on experience in configuration management of server farms (using tools such as Puppet, Chef)
- Data Streaming tools such as Spark and Kafka
- Familiarity with Apache RocketMQ
- Administrator experience working with batch processing and tools in the Hadoop technical stack (Yarn, Hive, HDFS)
- Experience in supporting/managing systems at scale (10s thousands to 100s thousands of instances)
- Experience in In-memory data structure store administration with Redis