Apprecode

At AppRecode, we are passionate about building software that solves problems. We count on our DevOps Engineers to empower our users with a rich feature set, high availability, and stellar performance to pursue their missions.

As we expand our customer deployments, we seek an experienced Senior DevOps Engineer to transform release processes and enable continuous deployment. Specifically, we are searching for someone who will demonstrate a unique and informed viewpoint, enjoys collaborating with a cross-functional team, and help develop real-world solutions and positive user experiences at every interaction, with a strong track record of bringing products to life.

Join us, and you will have an opportunity to work with great Engineers, CEOs, CTOs, and other mature operators, a dynamic but still laid-back team (yes, you can combine that), agile development practices, the stack, and the approaches you choose to get the job done.

About the Position

The client is a US-based SaaS company in the healthcare and financial services domain that has scaled from 15 to 100 employees with 6 development teams. They need a senior DevOps engineer to transform release processes from manual coordination to fully automated, push-button deployments.

Duration: 6 months + with high probability of extension to long-term

Start: ASAP, latest January 2026

Company

A US-based healthcare and financial services SaaS company with 50+ developers across 6 development teams. They currently coordinate releases manually with staging slot swaps on release nights and need enterprise-grade release engineering to enable multiple daily deployments.

Key Responsibilities

• Standardize release processes and implement push-button deployment automation across all 6 development teams, eliminating manual coordination
• Evaluate and implement Octopus Deploy as release management tool (key 6-month project) – compare with Azure DevOps native capabilities and lead full implementation
• Migrate apps from environment variables to Azure App Configuration Service to eliminate app restart requirements
• Automate staging slot deployments and production swaps in Azure App Services with automated rollback procedures and zero-downtime patterns
• Build sophisticated multi-stage deployment pipelines in Azure DevOps with gates, approvals, and health checks
• Support migration from Git Flow to trunk-based development and implement feature toggles for deployment decoupling
• Implement secrets management with Azure Key Vault, automate key rotation, ensure HIPAA/PCI compliance in deployments
• Create reusable pipeline templates, integrate security scanning (SAST/DAST), and enable self-service deployments

Reporting & Collaboration

Reports to: Client’s DevOps & Infrastructure Manager

Collaborates with: 4 DevOps team members, 6 development teams, QA teams

Technologies

Must-have: Azure DevOps (advanced YAML pipelines, multi-stage deployments), Microsoft Azure (App Services with staging slots, Azure SQL, API Management, App Gateway), Azure App Configuration Service, Azure Key Vault, Deployment Automation (blue-green, canary, staged rollouts), Infrastructure as Code (Terraform, Bicep, ARM), Scripting (PowerShell, Bash, Python)

Nice-to-have: Octopus Deploy (HIGHLY DESIRED), Trunk-Based Development, Feature Flag Platforms (LaunchDarkly, Split), Azure Kubernetes Service, Docker, Grafana, HIPAA/PCI Compliance, Git Flow expertise

Soft Skills

• Upper Intermediate+ in English
• Process-oriented mindset – create order and consistency
• Exceptional attention to detail – releases require precision
• Strong communicator coordinating across 6 development teams daily
• Risk management balancing speed with safety
• Highly self-managed and able to work independently on complex projects

Challenges & Milestones

Month 1-3: Assess release processes, evaluate Octopus Deploy vs Azure DevOps native, design release architecture, quick wins on automation

Month 3-6: Implement chosen release solution, migrate hundreds of app settings to Azure App Configuration Service, enable continuous deployment, automate coordination

Success at 6 Months: Push-button deployments operational, configuration migration complete, release frequency increased 5-10x, manual coordination eliminated. Evaluation point for long-term extension.

Working Hours

Central Time (US) preferred but flexible

Full-time (40 hours/week), Remote

At AppRecode, we are passionate about building software that solves problems. We count on our DevOps Engineers to empower our users with a rich feature set, high availability, and stellar performance to pursue their missions.

As we expand our customer deployments, we seek an experienced Senior DevOps Engineer / Team Lead to guide DevOps transformation across multiple development teams. Specifically, we are searching for someone who will demonstrate a unique and informed viewpoint, enjoys collaborating with a cross-functional team, and help develop real-world solutions and positive user experiences at every interaction, with a strong track record of bringing products to life.

Join us, and you will have an opportunity to work with great Engineers, CEOs, CTOs, and other mature operators, a dynamic but still laid-back team (yes, you can combine that), agile development practices, the stack, and the approaches you choose to get the job done.

About the Position

The client is a US-based SaaS company in the healthcare and financial services domain. The company has rapidly scaled from 15 to 100 employees and needs a senior technical leader to guide their DevOps transformation, leading a team of 4 DevOps engineers while mentoring 50+ developers across 6 development teams.

Duration: Long-term engagement (2+ years)

Start: ASAP, latest January 2026

Company

A US-based healthcare and financial services SaaS company that has scaled from 15 to 100 employees with 50+ developers across 6 development teams. They are transitioning from waterfall to DevOps culture and need senior leadership to eliminate bottlenecks and enable developer autonomy.

Key Responsibilities

• Lead and mentor a team of 4 DevOps engineers while guiding 50+ developers across 6 teams through cultural transformation from waterfall to DevOps practices
• Design and implement self-service developer platforms with standardized templates and automation to eliminate DevOps bottlenecks
• Lead urgent migration from Git Flow to Trunk-Based Development (currently manual merges create bottleneck with 6 teams)
• Complete Terraform rollout across all environments (currently partial) and implement GitOps workflows with Git as single source of truth
• Standardize release processes and implement push-button deployments across all teams
• Build sophisticated Azure DevOps pipelines with templates for consistency across development teams
• Support containerization migration from Azure App Services to Azure Kubernetes Service (AKS)
• Facilitate cultural shift through workshops, retrospectives, and cross-team coordination

Reporting & Collaboration

Reports to: Client’s DevOps & Infrastructure Manager

Collaborates with: 4 DevOps team members, 6 development teams (~50 developers), CTO, Development Managers

Technologies

Must-have: Microsoft Azure (App Services, Azure SQL, API Management, App Gateway, AKS), Terraform (advanced modules and state management), Azure DevOps (Pipelines, Repos, Boards), Trunk-Based Development, Platform Engineering, Infrastructure as Code (Terraform, Bicep, ARM), .NET stack, Team Lead/Technical Leadership experience

Nice-to-have: Octopus Deploy, Docker, Grafana, Loki, Azure Application Insights, HIPAA/PCI Compliance, Service Mesh (Istio, Linkerd), FinOps, Azure Certifications (Solutions Architect Expert, DevOps Engineer Expert)

Soft Skills

• Upper Intermediate+ in English
• Exceptional communication skills – daily interaction with 50+ developers and leadership
• Master teacher and mentor – facilitate cultural transformation
• Hands-on technical leader balancing strategic direction with tactical execution
• Highly self-managed and able to work independently while coordinating multiple teams
• Empathetic and patient – meet developers where they are in learning journey

Challenges & Milestones

First 90 Days: Lead urgent Git Flow → Trunk-Based Development migration, standardize release process, complete Terraform implementation across all environments

Months 3-6: Launch self-service platform MVP, implement platform engineering patterns, facilitate DevOps workshops, begin AKS containerization planning

Months 6-12: Full DevOps culture adoption, automated deployments (90%+), platform engineering practice established, execute 2026 roadmap

Working Hours

CRITICAL: Only a few hours with Central Time (US) must be aligned.

Reason: Heavy collaboration required across 6 development teams

Full-time (40 hours/week), Remote

At AppRecode, we are passionate about building software that solves problems. We count on our DevOps Engineers to empower our users with a rich feature set, high availability, and stellar performance to pursue their missions.

As we expand our customer deployments, we seek an experienced Senior SRE / DevOps Engineer to ensure reliability, observability, and operational excellence. Specifically, we are searching for someone who will demonstrate a unique and informed viewpoint, enjoys collaborating with a cross-functional team, and help develop real-world solutions and positive user experiences at every interaction, with a strong track record of bringing products to life.

Join us, and you will have an opportunity to work with great Engineers, CEOs, CTOs, and other mature operators, a dynamic but still laid-back team (yes, you can combine that), agile development practices, the stack, and the approaches you choose to get the job done.

About the Position

The client is a US-based SaaS company in the healthcare and financial services domain that has scaled from 15 to 100 employees. Their previous SRE recently departed, creating an urgent need to rebuild the SRE practice, ensure production reliability, and maintain strict HIPAA and PCI compliance.

Duration: Long-term engagement (2+ years)

Start: ASAP, latest January 2026

Company

A US-based healthcare and financial services SaaS company with 50+ developers across 6 development teams. They recently experienced Azure outage impacts highlighting the need for robust SRE practices, multi-cloud resilience, and operational excellence.

Key Responsibilities

• Rebuild SRE practice after previous SRE departure – ensure reliability and uptime of production healthcare systems, define and monitor SLIs/SLOs/SLAs
• Manage and enhance observability infrastructure: Grafana dashboards and alerting, Loki log aggregation, Azure Application Insights (or evaluate Sentry alternative)
• Implement Grafana AI capabilities for automated dashboard creation and enable developers to independently access logs, metrics, and traces
• Incident response, on-call rotation, root cause analysis, post-incident reviews, and error budget management
• Manage Azure PaaS infrastructure: App Services, Azure SQL, API Management, App Gateway, Front Door, Traffic Manager, virtual machines
• HIPAA and PCI compliance implementation and maintenance – security monitoring, key rotation automation (Azure Key Vault), audit logging, compliance reporting
• Design and implement multi-cloud resilience strategy after recent Azure outage (evaluate Google Cloud for redundancy, disaster recovery planning and testing)
• Support migration from Azure App Services to Azure Kubernetes Service (AKS) – design reliability patterns for containerized .NET applications
• Service mesh evaluation and implementation (Istio, Linkerd) for compliance encryption requirements
• Automate operational tasks, create runbooks, facilitate retrospectives, establish operational metrics and FinOps considerations

Reporting & Collaboration

Reports to: Client’s DevOps & Infrastructure Manager

Collaborates with: 4 DevOps team members, 6 development teams (~50 developers), CTO

Technologies

Must-have: Site Reliability Engineering (production SRE with proven reliability track record), Microsoft Azure (App Services, Azure SQL, API Management, App Gateway, Front Door, Traffic Manager), Grafana (dashboard creation, alerting, visualization), Loki (log aggregation and analysis), Azure Application Insights, Incident Management (on-call, root cause analysis, post-mortems), HIPAA Compliance, PCI Compliance, Azure Key Vault

Nice-to-have: Azure Kubernetes Service (AKS), Service Mesh (Istio, Linkerd), Sentry, Terraform, Multi-Cloud (GCP, AWS), Docker, Prometheus, Chaos Engineering, .NET troubleshooting, PowerShell/Bash/Python, FinOps, Azure Certifications

Soft Skills

• Upper Intermediate+ in English
• Calm under pressure – handle production incidents with clear thinking
• Excellent communicator explaining complex issues during incidents
• Proactive mindset preventing incidents through monitoring and analysis
• Collaborative team player working with developers on reliability
• Highly self-managed working independently while coordinating with teams
• Resilient in on-call rotation and high-pressure production situations

Challenges & Milestones

Month 1-3: Rebuild SRE practice, assess observability stack, establish on-call rotation, review Azure outage mitigation, document reliability posture

Month 3-6: Optimize Grafana dashboards, evaluate App Insights vs Sentry, implement Grafana AI, define SLIs/SLOs, design multi-cloud resilience, disaster recovery testing

Month 6-12: Design AKS reliability architecture, implement Kubernetes observability, service mesh implementation, support AKS migration

Long-Term: Mature SRE practice, multi-cloud resilience operational, AKS migration complete, service mesh operational, incident rates significantly reduced

Working Hours

Central Time (US) preferred but flexible

Full-time (40 hours/week), Remote

This initiative focuses on AWS network modernization and cloud automation with dual-stack IPv6/IPv4 enablement. You will lead the architectural vision for scalable, secure cloud infrastructure while guiding the engineering team through complex AWS transformations across 1,000+ VPCs and 500 subaccounts.

Key initiatives include

- Architecting new AWS infrastructure in US-West with Direct Connect, Network Gateways, and Firewalls

- Designing centralized monitoring architecture via Datadog integration

- eading Direct Connect Modernization (10G→100G upgrades) and establishing cloud governance frameworks

We expect you to bring

• 7+ years as a DevOps Engineer and experience in AWS Cloud Architecture and Infrastructure design
•  Proven track record designing large-scale, multi-account AWS environments
• Deep expertise in AWS networking (VPC design patterns, Transit Gateway topologies, Direct Connect, IPv6/IPv4 dual-stack)
•  Strong experience with AWS Well-Architected Framework and landing zones (Control Tower/Organizations)
•  Expert knowledge of IaC architectural patterns (Terraform/CloudFormation/CDK)
• Deep understanding of security architecture (IAM, SCPs, AWS Config, Security Hub, Network Firewall)
• Experience architecting observability solutions at scale (Datadog/CloudWatch)
•  Experience designing event-driven architectures (Step Functions, Lambda, EventBridge)
• Excellent documentation skills and ability to mentor engineering teams
• AWS certifications are highly valued (Solutions Architect Professional, Advanced Networking)

What will be your tasks

Architecture & Leadership

• Define AWS cloud architecture strategy and roadmap for the modernization initiative
• Design scalable, secure multi-account environments with comprehensive documentation (HLD/LLD, ADRs)
• Establish architectural standards, patterns, and guardrails
• Provide technical mentorship and conduct architecture reviews

Network & Security Design

• Architect dual-stack (IPv4 + IPv6) networking patterns, Transit Gateway topologies, and Direct Connect redundancy
• Design network segmentation and security controls across 1,000+ VPCs
• Define DNS architecture, including Route 53, DNS64/NAT64, and hybrid resolution
• Establish monitoring, flow log analysis, and compliance frameworks

Automation & Governance

• Design IaC architecture and module structure for Terraform/CloudFormation
• Architect Step Functions workflows with proper error handling and idempotency
• Define CI/CD pipeline architecture and API-driven provisioning patterns
• Establish governance using Control Tower, SCPs, and Config Rules

Observability & Stakeholder Engagement

• Architect centralized Datadog monitoring across all accounts with SLIs/SLOs
• Present architecture proposals to leadership with cost optimization strategies
• Collaborate with stakeholders to translate requirements into technical architecture

What we offer

• 20 days of paid annual leave, plus public holidays
• 5 paid sick days per year
• remote-first environment
• a friendly and supportive team
• personal development plans
• access to experienced mentors and technical leaders
• reimbursement for sports activities, and certifications (after probation)
• ongoing learning opportunities, including training sessions and knowledge-sharing
• free English lessons to boost your communication skills if needed

This initiative focuses on AWS network modernization and cloud automation with dual-stack IPv6/IPv4 enablement. The goal is to simplify networking, standardize infrastructure automation, and prepare for IPv6-native workloads. The first phase centers on automating AWS VPC deployments, followed by testing and validation of IPv6/IPv4 capabilities. 
 

Parallel efforts include: 

• Building new AWS infrastructure in US-West (greenfield, IPv4 single-stack) with Direct Connect, Network Gateways, and Firewalls. 
• Expanding Monitoring and Alerting across 1,000+ VPCs and 500 subaccounts via centralized Datadog integration. 
• Discovery for Direct Connect Modernization (10G→100G upgrades) and HA Proxy Optimization.
  
  We expect you to bring
   
• 5+ years in AWS Cloud Infrastructure and DevOps. 
• Expert in Terraform and modular IaC design. 
• Strong understanding of AWS networking (VPC, TGW, Direct Connect, NACLs, SGs, Route 53). 
• Hands-on experience with automation and CI/CD (GitHub Actions, CodePipeline, or Jenkins). 
• Familiar with IPv6 networking concepts and dual-stack deployment. 
• Experience with Datadog or similar observability platforms. 
• Proficient in Python or Bash scripting. 
• Solid understanding of IAM, SCP, and multi-account setups. 
• Production experience building AWS Step Functions and/or AWS Lambdas state machines and authoring Lambda functions in Python (boto3) for provisioning and validation 
• Knowledge of idempotent API patterns, exponential backoff, and eventual consistency in AWS APIs 
• Experience integrating Step Functions/Lambda with Terraform runners (e.g., CodeBuild) and/or CloudFormation StackSets 

What will be your tasks
 

• Build and automate AWS infrastructure for new environments (VPCs, TGWs, Firewalls, Routing, IAM, SCPs). 
• Implement Infrastructure-as-Code using Terraform/CloudFormation/CDK. 
• Design and test dual-stack (IPv4 + IPv6) networking patterns, DNS, and routing. 
• Integrate Datadog for centralized monitoring and alerting. 
• Orchestrate provisioning workflows using AWS Step Functions (ASL) with idempotent AWS Lambda (Python) tasks (create VPCs, subnets, route tables, TGW attachments, IGW/egress-only IGW, NATs). 
• Build guardrails: input validation, retries with backoff, compensating actions/rollbacks, tagging, and audit logging (CloudWatch Logs/CloudTrail) 
• Expose provisioning as APIs (API Gateway + Step Functions) and integrate with CI/CD and Service Catalog / Control Tower where applicable 
• Implement automated post-provision tests (Lambda) for IPv6 reachability, DNS64/NAT64 paths, TGW routing, and Datadog connectivity 
• Support validation testing for connectivity, security, and automation workflows. 

• Participate in documentation and handover (architecture, IaC, runbooks).  

   

  What we offer

   

• 20 days of paid annual leave, plus public holidays
• 5 paid sick days per year
• remote-first environment
• a friendly and supportive team
• personal development plans
• access to experienced mentors and technical leaders
• reimbursement for sports activities, and certifications (after probation)
• ongoing learning opportunities, including training sessions and knowledge-sharing
• free English lessons to boost your communication skills if needed

At AppRecode, we are passionate about building software that solves problems. We count on our DevOps Engineers to empower our users with a rich feature set, high availability, and stellar performance to pursue their missions.

As we expand our customer deployments, we seek an experienced Senior DevOps Engineer / Team Lead to guide DevOps transformation across multiple development teams. Specifically, we are searching for someone who will demonstrate a unique and informed viewpoint, enjoys collaborating with a cross-functional team, and help develop real-world solutions and positive user experiences at every interaction, with a strong track record of bringing products to life.

Join us, and you will have an opportunity to work with great Engineers, CEOs, CTOs, and other mature operators, a dynamic but still laid-back team (yes, you can combine that), agile development practices, the stack, and the approaches you choose to get the job done.

About the Position

The client is a US-based SaaS company in the healthcare and financial services domain. The company has rapidly scaled from 15 to 100 employees and needs a senior technical leader to guide their DevOps transformation, leading a team of 4 DevOps engineers while mentoring 50+ developers across 6 development teams.

Duration: Long-term engagement (2+ years)

Start: ASAP, latest January 2026

Company

A US-based healthcare and financial services SaaS company that has scaled from 15 to 100 employees with 50+ developers across 6 development teams. They are transitioning from waterfall to DevOps culture and need senior leadership to eliminate bottlenecks and enable developer autonomy.

Key Responsibilities

• Lead and mentor a team of 4 DevOps engineers while guiding 50+ developers across 6 teams through cultural transformation from waterfall to DevOps practices
• Design and implement self-service developer platforms with standardized templates and automation to eliminate DevOps bottlenecks
• Lead urgent migration from Git Flow to Trunk-Based Development (currently manual merges create bottleneck with 6 teams)
• Complete Terraform rollout across all environments (currently partial) and implement GitOps workflows with Git as single source of truth
• Standardize release processes and implement push-button deployments across all teams
• Build sophisticated Azure DevOps pipelines with templates for consistency across development teams
• Support containerization migration from Azure App Services to Azure Kubernetes Service (AKS)
• Facilitate cultural shift through workshops, retrospectives, and cross-team coordination

Reporting & Collaboration

Reports to: Client’s DevOps & Infrastructure Manager

Collaborates with: 4 DevOps team members, 6 development teams (~50 developers), CTO, Development Managers

Technologies

Must-have: Microsoft Azure (App Services, Azure SQL, API Management, App Gateway, AKS), Terraform (advanced modules and state management), Azure DevOps (Pipelines, Repos, Boards), Trunk-Based Development, Platform Engineering, Infrastructure as Code (Terraform, Bicep, ARM), .NET stack, Team Lead/Technical Leadership experience

Nice-to-have: Octopus Deploy, Docker, Grafana, Loki, Azure Application Insights, HIPAA/PCI Compliance, Service Mesh (Istio, Linkerd), FinOps, Azure Certifications (Solutions Architect Expert, DevOps Engineer Expert)

Soft Skills

• Upper Intermediate+ in English
• Exceptional communication skills – daily interaction with 50+ developers and leadership
• Master teacher and mentor – facilitate cultural transformation
• Hands-on technical leader balancing strategic direction with tactical execution
• Highly self-managed and able to work independently while coordinating multiple teams
• Empathetic and patient – meet developers where they are in learning journey

Challenges & Milestones

First 90 Days: Lead urgent Git Flow → Trunk-Based Development migration, standardize release process, complete Terraform implementation across all environments

Months 3-6: Launch self-service platform MVP, implement platform engineering patterns, facilitate DevOps workshops, begin AKS containerization planning

Months 6-12: Full DevOps culture adoption, automated deployments (90%+), platform engineering practice established, execute 2026 roadmap

Working Hours

CRITICAL: Only a few hours with Central Time (US) must be aligned.

Reason: Heavy collaboration required across 6 development teams

Full-time (40 hours/week), Remote

We’re looking for a part‑time Senior Power BI Engineer to join a project for a global logistics company. You’ll own the BI lifecycle end‑to‑end: from data ingestion and modeling to governance in Power BI Service. The pace is fast, the customer is very dashboard‑driven, and the focus is on delivering visible improvements every week.

Responsibilities

• Design, implement and maintain Power BI reports, dashboards and dataflows.
• Build and optimize semantic models using DAX and TMDL.
• Audit and tune existing models with Tabular Editor 3 and DAX Studio.
• Develop ETL in Power Query (M); use SQL where needed for data preparation.
• Set up and support source control & CI/CD for Power BI assets (Git, Azure DevOps).
• Improve collaborative development workflows using ALM Toolkit and XMLA endpoints.
• Transform UI/UX mockups (Figma or similar) into clean, usable Power BI reports.
• Manage Power BI Service governance: workspaces, roles, RLS, access and distribution.
• Work closely with client and internal team, refine requirements, deliver incrementally.

Requirements

• 3–5+ years of experience with Power BI in production / enterprise environments.
• Strong DAX and data modeling skills (star schema, calculation groups, aggregations).
• Hands‑on experience with Power Query (M); SQL – strong plus.
• Experience with TMDL, XMLA, Tabular Editor 3, DAX Studio.
• Experience with Git and CI/CD pipelines (preferably Azure DevOps).
• Understanding of BI governance: security, workspace structure, deployment flows.
• Experience working directly with business stakeholders, ability to explain technical decisions in clear language.
• English — Upper‑Intermediate+ (calls with international team).

Nice to have

• Domain experience in logistics / supply chain / operations analytics.
• Experience with Figma or other UI/UX tools, attention to report design and UX.
• Experience with the Azure data stack (Azure SQL, Data Lake, Synapse, etc.).

About the project

• Client: global logistics company (long‑term cooperation).
• Format: part‑time, remote, flexible schedule.
• Tech stack: Power BI (Desktop & Service), DAX, TMDL, Power Query, SQL, XMLA, Tabular Editor 3, DAX Studio, Git, Azure DevOps, ALM Toolkit.
• Focus: fast‑paced delivery of high‑quality dashboards and well‑governed BI environment.

If you’re interested — send your CV + short note about your Power BI enterprise experience (what kind of models, how many users, what governance / CI/CD you touched).

AppRecode is looking for a Senior DevOps / MLOps Engineer to join a client building a cloud-based AI/ML platform on Azure + Databricks.

The role is fully focused on MLOps infrastructure and automation – you will not develop or train models. Your mission is to ensure that existing ML models run reliably, securely, and at scale in production.

Project overview

The client is building an enterprise-grade AI/ML platform on Azure Databricks with a strong focus on:

• Infrastructure automation (Terraform + CI/CD)
• Reliable and observable ML pipelines
• Integration with core Azure services (Key Vault, Storage, ADF, Synapse)
• Access, data, and model governance via Unity Catalog and MLflow

You will join a long-term initiative working closely with Data Engineers and Data Scientists, where DevOps/MLOps is a key success factor.

Responsibilities

• Design and automate Databricks infrastructure using Terraform and CI/CD pipelines (Azure DevOps or GitHub Actions).
• Deploy and maintain environments for:
  • model training,
  • model versioning,
  • monitoring, and
  • reliable production execution in Databricks.
• Integrate Databricks with Azure components:
  • Azure Key Vault
  • Azure Storage
  • Azure Data Factory (ADF)
  • Azure Synapse
• Manage access, data lineage, and governance within Unity Catalog and MLflow.
• Collaborate with Data Scientists and Data Engineers to operationalize models and build stable production workflows.
• Apply DevOps best practices for:
  • security,
  • scalability,
  • infrastructure-as-code and lifecycle management.
• Continuously improve deployment automation, monitoring, and operational processes for the ML platform.

Required experience

• Proven hands-on experience with Databricks:
  • workspaces, clusters, jobs, Delta Lake.
• Strong knowledge of Azure Cloud services and how they integrate with Databricks.
• Solid experience with:
  • Terraform
  • CI/CD automation (Azure DevOps or GitHub Actions).
• Scripting skills in Python and/or Bash.
• Experience working in distributed / remote teams.
• Fluent English – comfortable with daily communication with the client and team.

Nice to have

• Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) – for context only (not for day-to-day work).
• Experience with Docker or Kubernetes.
• Background as a Data Engineer or DevOps Engineer working on ML/AI use cases, especially on Azure Databricks.

Candidate profile

• You come from a Data Engineering or DevOps background.
• You have real-world experience building and maintaining Azure Databricks environments for ML/AI workloads.
• You are comfortable in a role that focuses entirely on:
  • infrastructure,
  • automation,
  • reliability of ML models in production,
    rather than data science or model training.

Role: Senior DevOps Engineer (MLOps / Azure Databricks)
Start: ASAP
Type: Long-term project
Language: English (working language)

What AppRecode offers

• 20 days of paid annual leave plus public holidays.
• 5 paid sick days per year.
• Remote-first work environment.
• Friendly and supportive team culture.
• Personal development plans and access to experienced mentors and technical leaders.
• Reimbursement for sports activities and professional certifications (after probation).
• Ongoing learning opportunities: internal trainings and knowledge-sharing sessions.
• Free English classes if you want to further improve your communication skills.