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    Cloud Operations Architect/Engineer(Kubernetes) - Waltham, United States - SS&C Technologies

    SS&C Technologies
    SS&C Technologies Waltham, United States

    4 weeks ago

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    Description

    SS&C is a global provider of investment and financial services and software for the financial services and healthcare industries. Named to Fortune 1000 list as top U.S. company based on revenue, SS&C is headquartered in Windsor, Connecticut and has 20,000+ employees in over 90 offices in 35 countries. Some 18,000 financial services and healthcare organizations, from the world's largest institutions to local firms, manage and account for their investments using SS&C's products and services.

    Job Description

    Responsibilities

    • Our Kubernetes Architect/Engineer will be instrumental to the overall success of the team and responsibilities will vary; assist scrum teams with Private Cloud, On Prem, AWS Cloud, Azure and Kubernetes best practices, identify and mitigate risks to security procedures, assist in solving complex problems, establish the infrastructure and related methodologies for a new project in the Private Cloud, On Prem, AWS Cloud, Azure Environment and full life cycle support (planning, designing, building, supporting multiple applications development and test environments)
    • Our Kubernetes Architect/Engineer will be highly analytical; possesses the ability to analyze project needs, design, build, configure, test, install software and patches, and manage all aspects and components of the application development, test, and production environments in an Private Cloud, On Prem, AWS Cloud, Azure and Kubernetes Cluster Environment
    • This engineer is highly technical; able to develop and produce Architecture drawings using Visio/LucidChart/related tool using standard architecture notations
    • Our candidate must also function as a design team member to engineer, implement, and manage DevSecOps Cloud Environments using a combination of Private Cloud, On Prem, AWS Cloud, Azure tools and services developed using Agile methodologies
    • Planning and supporting Kubernetes clusters to plan and execute the migration of non-containerized/containerized microservices into a Kubernetes based infrastructure
    Qualifications and Skills:
    • Bachelors or Masters degree in Computer Science or equivalent.
    • 10+ years' experience in Software Engineering, preferably in SaaS environments
    • 5+ years Kubernetes production experience
    • Experience with AWS, Azure, Private Cloud and OnPrem Platform
    • Experience with horizontal and vertical autoscaling
    • Experience with EKS-Engine preferred
    • Deep understanding of Kubernetes services, load balancing, networking and security
    • Experience with Istio
    • Experience deploying and managing stateful applications and storage in Kubernetes
    • Experience operationalizing AI/ML
    • Excellent knowledge of public and private cloud technologies
    • Solid hands-on software development experience in big data environments, utilizing Go and/or Python
    • Experience with microservice architectures
    • Experience with HashiCorp tools
    • Excellent knowledge of Linux.
    • Demonstrated ability to learn new technologies quickly and independently.
    • Experience working on agile projects and understanding of agile concepts
    • Ability to work and achieve stretch goals in a very innovative and fast paced environment.
    • CKA, AWS, Azure certifications preferred.
    • Locations : Waltham, MA , Remote, MA , Remote, NY, Remote, NJ, Remote, IL.
    Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C offers excellent benefits including health, dental, 401k plan, tuition and professional development reimbursement plan. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.
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