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Open nowFirst seen 29 hours ago

Deployment Engineer (DevOps / Platform Execution)

Riseup Labs190 open roles

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Your applicationOpen nowDeployment Engineer (DevOps / Platform Execution)Riseup Labs

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  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 29 hours ago

The posting

Job Context:

Riseup Labs is seeking a senior Deployment Engineer to enable reliable, secure, and repeatable deployment of the pod’s deliverables into enterprise environments. This role focuses on CI/CD, containerized deployments, controlled environment promotion, operational readiness, and production stability.The Deployment Engineer will work closely with engineering teams, architecture, and platform stakeholders to ensure delivery pipelines and runtime environments support rapid iteration without compromising security, governance, reliability, or cost controls.

Job Responsibilities:

  • Design, implement, and operate CI/CD pipelines to build, test, package, and deploy services across environments. • Implement controlled promotion processes (development → test → staging → production) aligned with enterprise governance and change control. • Package and deploy containerized workloads using Docker and orchestration platforms (Kubernetes where applicable). • Implement deployment reliability practices including automated validation, rollout strategies, and rollback mechanisms. • Maintain infrastructure and configuration assets using enterprise-grade governance practices (versioning, change control, review, and promotion across environments). • Implement secure operations practices including secrets management, least privilege access, secure configuration, and baseline hardening. • Ensure operational readiness through monitoring hooks, alerting integration, and actionable runbooks. • Support incident response through structured troubleshooting, root cause analysis, and corrective actions. • Collaborate with engineering teams to ensure services are production-ready (observability, health checks, performance, resilience). • Support deployment in constrained enterprise environments (restricted egress, network segmentation, and access-controlled runtime conditions where applicable).

Educational Requirements:

  • B.Sc in Computer Science and Engineering from any reputed public or private university.

Additional Requirements:

  • Strong experience with CI/CD pipeline design and operations in enterprise environments. • Hands-on experience with containerization (Docker) and deployment automation. • Experience deploying and operating services in multi-environment setups with controlled promotion and governance. • Strong troubleshooting ability across build, deployment, and runtime issues (including production incident support). • Strong understanding of operational fundamentals (monitoring, alerting, reliability, recovery, and incident readiness). • Experience implementing centralized secrets management (for example Azure Key Vault, HashiCorp Vault, or equivalent), including secure handling of sensitive AI model credentials and third-party API tokens. • Experience working closely with engineering teams to standardize deployment practices and improve delivery velocity safely. • Ability to operate independently with high ownership and accountability for platform stability. Preferred / Nice to Have (Senior Differentiators) : • Strong Kubernetes operational experience (deploy, scale, troubleshoot, upgrade). • Experience implementing GitOps patterns (ArgoCD or equivalent). • Familiarity with Azure-native deployment practices and access control models. • Experience with infrastructure-as-code (Terraform, Bicep, or equivalent). • Familiarity with observability tooling and SLO-driven operations (logs, metrics, traces, dashboards, alerts). • Experience supporting secure networking patterns (private endpoints, restricted outbound connectivity, enterprise firewall constraints). • Experience optimizing delivery workflows to reduce deployment risk while increasing release frequency. Technology Stack (Indicative) : (Final stack and tooling will follow internal standards and may vary by domain.) • CI/CD pipelines and release management • Docker • Kubernetes (where applicable) • GitOps tooling (ArgoCD or equivalent, where applicable) • Cloud services (Azure-first where applicable) • Centralized secrets management (Key Vault/Vault-style tooling) • Infrastructure-as-code (where applicable) • Monitoring and operational tooling (metrics, logs, traces) Cross-Cutting Expectations : • Strong ownership for deployment reliability and operational stability. • Structured execution with a focus on repeatability, automation, and risk-controlled delivery. • Strong collaboration across engineering, platform, and architecture stakeholders. • Clear incident response behavior and disciplined root-cause analysis. Success Measures (Examples): • Reliable and repeatable deployments with low failure rates and controlled environment promotion. • Reduced deployment cycle time without compromising governance, security, or stability. • Production systems supported by monitoring, alerts, and clear runbooks. • Fast recovery from incidents through rollback readiness and disciplined troubleshooting. • Improved release confidence through automated validation and standardized deployment practices. • Demonstrated ability to execute rapid, low-risk rollbacks of AI services when required (for example in response to security concerns such as prompt-injection exposure, or performance degradation), supporting low mean time to recovery (MTTR).

Workplace:

  • Remote (Office Time: 02.00 PM- 11.00 PM)

Salary:

  • Negotiable (Based on experience and skills)

Compensation & Other Benefits:

  • - General Leave: 10 days
  • Festival Bonus (2), basic 100%
  • Weekly 2 holidays (Sat & Sun)
  • Annual Salary Review
  • PTO Benefits

The Application Process:

  • Telephone Round.
  • Interview with the Business Development Team & Talent Acquisition Team & Client.
  • Job Offer.

N.B.: Only shortlisted candidates will be communicated in the recruitment process.

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