Site Reliability Engineer (SRE)
PayPalSalary not specified
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
N/AIndustries
Requirements
- Bachelor’s of Computer Science or equivalent
- 5-8 years of experience
- 4+ years working as DevOps engineer to build CI/CD pipelines for enterprise level automation
- Experience working with GitLab, Terraform, Vault and IAC is a must
- 2+ years professional experience python or similar programming languages
- Familiarity with micro-service architecture
- Deep understanding of Web UI and UX design principles and programming patterns
- Experience in building and consuming GraphQL api (Apollo graphql preferred)
- Experience in building and consuming react and Django based appln
- Experience in deploying web application in Amazon Cloud
- Experience in integration web application with SAAS solution and 3rd Party API
- Good understanding of coding, scripting, and automation tools using python or configuration management using yaml
- Familiarity with Linux operating systems and basic understanding of networking and security
- Knowledge in tools/methodologies like GitLab for version control
- Experience in using Docker for containerization and Ansible or Chef for configuration management
- User Access automation and management using access tokens
- Understanding of application monitoring using APM tools like NewRelic, DataDog, Elastic Stack etc
- Familiar with cloud computing platforms especially AWS
- Analytical and detail-oriented
- Excellent verbal and written communication skills
- Advanced problem-solving skills
- Observant and able to remain focused on tasks for long periods of time
Responsibilities
- Designing and implementing given requirements supplied by the product teams
Skills
Python
YAML
Linux
GitLab
Docker
Ansible
Chef
Terraform
Vault
NewRelic
DataDog
Elastic Stack
AWS
GraphQL
React
Django
ShyftLabs
Data-driven decision-making solutions for organizations
About ShyftLabs
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.
None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees
Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget
Risks
Increased competition from startups offering innovative, cost-effective solutions.
Growing demand for in-house analytics teams reducing reliance on consultants.
Rapid AI advancements may outpace ShyftLabs' current technology offerings.
Differentiation
ShyftLabs specializes in data governance, warehousing, and predictive analysis services.
The firm empowers organizations with a data-first approach for decision-making.
ShyftLabs establishes processes for faster, insightful decisions to outpace competition.
Upsides
Increased demand for data governance due to stricter privacy regulations.
Growing interest in predictive analytics in retail for inventory optimization.
Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.
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