Staff Cloud Engineer - Contract

About the role

This position is an important role in the development, test, and deployment of complex solutions. The candidate will build technical strategy for broad or complex requirements, participate in the strategic development of methods, techniques, and evaluation criteria for projects and programs, drive all aspects of technical architecture, design, prototyping and implementation in support of both product needs as well as overall technology strategy, provide leadership and technical expertise in support of building a technical plan and backlog of stories, and lead efforts through the functional team members along with the team's overall planning.

Responsibilities

• Build technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
• Participate in the strategic development of methods, techniques, and evaluation criteria for projects and programs.
• Drive all aspects of technical architecture, design, prototyping and implementation in support of both product needs as well as overall technology strategy.
• Provide leadership and technical expertise in support of building a technical plan and backlog of stories, and then follow through on execution of design and build process through to production delivery.
• Guide a broad functional area and lead efforts through the functional team members along with the team’s overall planning.
• Represent engineering in cross-functional team sessions and able to present sound and thoughtful arguments to persuade others.
• Adapt to the situation and can draw from a range of strategies to influence people in a way that results in agreement or behavior change.
• Collaborate and partner with product managers, designers, and other engineering groups to conceptualize and build new features and create product descriptions.
• Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.
• Absorb and resolve production issues.
• Develop and implement tests for ensuring the quality, performance, and scalability of our application.
• Actively seek out ways to improve engineering standards, tooling, and processes.
• Supporting the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

Requirements

• Education and/or experience typically obtained through a Bachelor’s degree in computer science or related technical field.
• Eight or more years of relevant related experience.
• Six or more years of work experience with Java/Spring.
• Hands-on Docker experience.
• Two or more years of experience in the development of front-end solutions.
• Hands-on familiarity with modern frameworks (Angular/React).
• Proficiency in Maven/Gradle.
• Demonstrated experience in delivering business-critical systems to the market.
• Ability to influence and work in a collaborative team environment.
• Experience designing/developing scalable systems.
• Experience with event-driven architecture and messaging frameworks (Pub/Sub, Kafka, RabbitMQ, etc).
• Working experience with cloud infrastructure (Google Cloud Platform, AWS, Azure, etc).
• Knowledge of mature engineering practices (CI/CD, testing, secure coding, etc).
• Knowledge of Software Development Lifecycle (SDLC) best practices, software development methodologies (Agile, Scrum, LEAN etc) and DevOps practices.
• Background and drug screen.

Skills

• Experience designing cloud infrastructure for robustness, security, and observability.
• Expertise in infrastructure-as-code tools such as Terraform, Ansible, and continuous deployment pipelines.
• Experience in highly scalable distributed datacenter or cloud computer systems (AWS, Azure, VM).
• Strong knowledge of AWS services (EC2, IAM, ELB, Route53, S3, Lambda, Cloud Formation, DynamoDB).
• Experience architecting Kubernetes based systems.
• Container orchestration - Kubernetes, TKGi, EKS, ECS.
• Proficient with using and debugging networks, DNS, HTTP, TLS, load-balancing, build systems, Linux, and Docker.
• Experience in building CI/CD pipelines.
• Experience building and scaling Workflow pipelines.
• Experience in data center operations, monitoring, alerting and notifications.

Cloud Focus Only

• Lead infrastructure-as-code projects, designing APIs and building tools to be used by engineering teams for reliable and repeatable cloud deployments.
• Observe the usability of the systems you build, allowing engineers to have an intuitive and predictable experience working with infrastructure at scale.
• Troubleshoot complex infrastructure problems, often spanning multiple layers of the stack and requires working with multiple teams.
• Experience designing cloud infrastructure for robustness, security, and observability.
• Expertise in infrastructure-as-code tools such as Terraform, Ansible, and continuous deployment pipelines.
• Experience in highly scalable distributed datacenter or cloud computer systems (AWS, Azure, VM).
• Strong knowledge of AWS services (EC2, IAM, ELB, Route53, S3, Lambda, Cloud Formation, DynamoDB).
• Experience architecting Kubernetes based systems.
• Container orchestration - Kubernetes, TKGi, EKS, ECS.
• Proficient with using and debugging networks, DNS, HTTP, TLS, load-balancing, build systems, Linux, and Docker.
• Experience in building CI/CD pipelines.
• Experience building and scaling Workflow pipelines.
• Experience in data center operations, monitoring, alerting and notifications.

Benefits

For Cloud Focus Only: Lead infrastructure-as-code projects, designing APIs and building tools to be used by engineering teams for reliable and repeatable cloud deployments. Observe the usability of the systems you build, allowing engineers to have an intuitive and predictable experience working with infrastructure at scale. Troubleshoot complex infrastructure problems, often spanning multiple layers of the stack and requires working with multiple teams. Experience designing cloud infrastructure for robustness, security, and observability. Expertise in infrastructure-as-code tools such as Terraform, Ansible, and continuous deployment pipelines. Experience in highly scalable distributed datacenter or cloud computer systems (AWS, Azure, VM). Strong knowledge of AWS services (EC2, IAM, ELB, Route53, S3, Lambda, Cloud Formation, DynamoDB). Experience architecting Kubernetes based systems. Container orchestration - Kubernetes, TKGi, EKS, ECS. Proficient with using and debugging networks, DNS, HTTP, TLS, load-balancing, build systems, Linux, and Docker. Experience in building CI/CD pipelines. Experience building and scaling Workflow pipelines. Experience in data center operations, monitoring, alerting and notifications.

Pay

The salary range for this position is $80,000 - $120,000 annually, depending on experience and qualifications.

Schedule

The schedule for this position is a hybrid model, allowing for a more collaborative working environment.