DevOps Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

DevOps Engineer Mumbai, Maharashtra, India Company Description: Sia is a next-generation, global management consulting group born digital, augmented by data, enhanced by creativity, and driven by responsibility. We partner with clients to resolve challenges and capitalize on opportunities. We believe that in today's world of change and disruption, optimism is a force multiplier. Job Description: Sia is looking for a DevOps Engineer to support the development of the Data Science Business Line in our new office in Mumbai. Your main responsibilities will include: Participation in our consulting assignments with our clients Development of our Software-as-a-Service products from Heka.ai Support to Data Scientists, Data Engineers and Software Engineers in projects with a strong Data component: Cloud services: architecture, storage & computing services, costs monitoring & optimization, access level management Containers: containerization & orchestration of applications, K8 cluster management adapted to data workloads Python programming: development of tools executed on the server (automation scripts, microservices, etc.) CI/CD: integration and continuous deployment of applications Contribution to technological, architectural and governance choices to address the challenges of scaling Data projects Qualifications: Engineering background with 4+ years of relevant experience in DevOps Engineering Mastery of Python, for back-end projects - another programming language is a plus Mastery of a containerization solution such as Docker, and at least one container orchestration tool Experience with the services of a cloud provider (AWS, GCP or Azure) Knowledge of Infrastructure-as-Code tools as Terraform is a plus Mastery of CI/CD techniques and tools (pipeline automation, Docker, Kubernetes...) Fluency in English

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