Who We Are - About NewGlobe

NewGlobe is working with visionary governments around the world to dramatically improve the quality of basic education. Founded in 2007, we partner with governments to provide integrated school management, teacher professional development, instructional design innovation, technological system support, child-centered classroom practice, and parent engagement -- all grounded in learning science -- to ensure each teacher is empowered to engage children in transformational learning, Our data-driven approach has been validated by a Nobel-winning researcher and recognition by international leaders in Education. We imagine a world where all children can access an education that unlocks their full potential.

We need bright minds who want to be part of building a new globe -- a more equitable globe -- to join us. More information: newglobe.education

Technology Group

Technology plays a critical role enabling us to provide transformative education at massive scale in highly resource constrained environments. This is one of the key elements that gives us the ability to deliver radically impactful programmes, creating brighter futures for a generation of children across the world each day. Technology spans several key functions, including product management, business intelligence, software development and IT operations.Working with us, passionate technologists have a chance to directly change the world.

About the Role

We have reached an inflection point where we need to take our data game to the next level. Instead of just providing data to our various departments, we need to start bringing to bear more sophisticated techniques to unlock the potential of our significant data sets. While we collect hundreds of thousands of data points every day from each of our programmes – from the time each teacher spends on each page of every lesson to every pupil’s answer to every question of every assessment – we are yet to fully realise the potential energy of these data sets. 

On a technical level, this shift means moving beyond traditional approaches to data engineering, replacing ETL batch processing and data warehousing with event-driven real-time data pipelines and a distributed data mesh; on an organisational level, it means reimagining business intelligence as a skill set embedded in our cross-functional delivery teams, not as a separate team with separate priorities and timelines. And it also means transforming the ways that we expose the data to our users, providing richer, more actionable interfaces.

The Senior Engineer will help to lead the charge on this transformation, bringing experience to bear, both on the systems themselves, as well as mentoring and developing other team members.

This role reports to the Business Intelligence Lead, but will routinely be embedded in cross-functional delivery teams, working collaboratively to deliver our next generation data products.

What You Will Do 

• Build next generation event-driven data processing pipelines that cleanse, enrich, and aggregate a range of different data sets as part of a globally distributed and cross-functional software development organisation
• Deploy these data pipelines in line with continuous delivery practices and principles
• Improve the scalability, stability, accuracy, and efficiency of our existing data platform - it’s not all just green field!
• Develop and mentor other members of the business intelligence department
• Monitor our data platforms in order to identify and resolve issues and ensure high-availability of data insights
• Communicate with stakeholders to develop requirements, implement solutions, and collaborate on rollouts

What You Should Have

• 5+ years of enterprise work experience in business intelligence, data engineering, and advanced analytics
• 2+ years of commercial, enterprise experience building data pipelines using Apache Spark and Python (future platform). Familiarity using these tools to consume data from RabbitMQ or Kafka is a plus.
• Experience with one or more types of NoSQL databases and data lakes
• Comfort with version control and continuous delivery
• Familiarity with relational databases, ETL, and reporting tools. Preference for Microsoft technologies (we currently use Microsoft SQL Server 2016/2019, SSIS, and SSRS)
• Fluency with warehouse design and dimension modelling (star schemas, snowflakes, etc)
• Experience or interest in results-driven, lean/agile environments
• Basic DBA skills
• Ability to prioritize and execute tasks in a fast-paced environment

What We Offer

• The opportunity to make a difference for children every day at a proven, internationally recognized, mission-driven company.
• Flexible hybrid working arrangement.
• Take the lead and help us grow our engineering team
• The opportunity to work on challenging and innovative projects

Values of Successful Employees at NewGlobe

We are looking for new joiners who are energized by our mission and share our values. 

Detailed doers, creative problem-solvers, relentless advocates,  malleable learners, data-driven decision-makers and curious investigators do well at NewGlobe. Learn more about our values and how to succeed as a job-seeker at NewGlobe on our LinkedIn page.

What to Expect from the Interview Process

We have a rigorous, merit based hiring process. The process is designed to simulate the essential parts of the job and introduce you to your role in the business should you join our team. Apply via our website.

We will never ask for payment as part of the interview process and we are committed to a fair process free of discrimination based on gender, race, ethnicity, citizenship or disability. 

Who we are

Moniepoint Inc. is Africa’s all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019.
As Nigeria’s largest merchant acquirer, it powers most of the country’s Point of Sale (POS) transactions. Through its subsidiaries, Moniepoint Inc. processes $22 billion monthly for its customers while operating profitably.

Role Overview

The API & SQL Database Auditor is responsible for assessing the design, security, reliability, and compliance of application programming interfaces (APIs) and relational database systems. This role evaluates how data is accessed, processed, stored, and protected across applications, ensuring adherence to security standards, regulatory requirements, and internal controls.

Key Responsibilities 

Audit & Compliance

• Audit of Application Program Interfaces Security Controls.
• Audit REST, GraphQL, and internal APIs for governance, and compliance with organizational standards.
• Audit of Database Security Controls (e.g., MySQL, PostgreSQL, SQL Server, Oracle) for data integrity, availability, and confidentiality.
• Assess compliance with regulatory and industry frameworks (e.g., SOC 2, ISO 27001, PCI DSS, HIPAA, GDPR).
• Evaluate API versioning, lifecycle management, and deprecation controls.

Security & Risk Assessment

• Identify risks related to authentication, authorization, rate limiting, and input validation.
• Review protection mechanisms against common threats (e.g., injection attacks, broken object-level authorization).
• Evaluate encryption practices (in transit and at rest).
• Assess secrets management for database credentials and API keys.
• Review database patching, vulnerability management, and hardening practices.

Data Governance & Integrity

• Assess data classification, retention, and deletion policies.
• Review database schema design, constraints, indexing, and referential integrity controls.
• Evaluate logging, monitoring, and audit trails for data access and changes.
• Verify segregation of duties for database administration and application access.

Process & Controls Review

• Review backup, replication, and disaster recovery processes.
• Assess performance monitoring, capacity planning, and availability controls.
• Evaluate change management processes for schema and API changes.
• Review third-party API integrations and data-sharing agreements.

Reporting & Advisory

• Document audit findings with risk ratings and evidence.
• Provide clear, actionable remediation recommendations.
• Present findings to engineering, security, and data governance stakeholders.
• Track remediation progress and validate corrective actions.
• Participates in the other regular audits in the IT Audit Plan as assigned by the Head, IT Audit.

Skills & Competencies

• SQL (analysis, permissions, schema review)
• API documentation and testing tools (Postman, Swagger/OpenAPI)
• Database security controls (roles, grants, auditing)
• Logging and monitoring solutions
• Encryption and key management concepts
• Strong analytical and investigative skills
• Ability to translate technical risks into business impact
• Clear written documentation and reporting
• Professional skepticism and attention to detail
• Ability to collaborate with engineering and security teams

Qualifications 

• Minimum of a Bachelor’s degree in Computer Science, Information Systems, Cybersecurity, or related field (or equivalent experience).
• Certifications in one or more of the following will be an added advantage - CISA, ACA, CISSP, CISM, CRISC, MICROSOFT certifications, ORACLE, etc.
• Experience: Minimum of 5 years experience in application security, database administration, software engineering, or IT audit.
• Strong understanding of RESTful APIs and SQL-based databases.
• Experience reviewing authentication and authorization mechanisms (OAuth 2.0, JWT, API keys).
• Working knowledge of SQL querying and database security concepts.

What we can offer you

• Culture -We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.
  

What to expect in the hiring process

• A preliminary phone call with the recruiter
• Panel interview with a Manager
• Behavioral and technical interview with an Executive team member

Technical Financial Crime Manager

About Paystack

Over the past nine years, Paystack has established itself as a pioneer in African fintech with a mission to help merchants get paid by anyone, anywhere in the world. Processing over $300 million in monthly transactions, our modern payments infrastructure supports tens of thousands of notable corporations, including MTN, Bolt, and Domino’s Pizza.

As we enter a phase of accelerated growth, we are seeking a Technical Financial Crime Manager to own, design, and scale our fraud and AML detection capabilities. This role sits at the intersection of data, engineering, and financial crime operations, with end-to-end accountability for ensuring our monitoring systems are technically robust, domain-accurate, and scalable across multiple markets.

This is a hands-on technical leadership role. You will define detection logic, guide system design, and directly influence how financial crime risk is identified and managed at Paystack, while also leading and developing high-performing fraud and AML teams.

What You’ll Do

As the Technical Financial Crime Manager, you will run the day-to-day fraud and AML detection stack; from data and rules to operational outcomes. You will combine deep technical expertise with financial crime domain knowledge to design effective monitoring systems, manage domain specialists, and ensure Paystack remains a safe, trusted payments platform.

You will be accountable for:

• The technical quality and effectiveness of fraud & AML monitoring logic
• The operating model and performance of Financial Crime Monitoring teams

Translating risk, regulatory, and business requirements into scalable detection systems

Key Responsibilities

Technical Ownership of Detection & Monitoring

• Define, build, test, and optimise fraud and AML detection rules, scenarios, thresholds, and models used in production systems.
• Translate complex datasets and domain insights into actionable detection logic embedded in monitoring and alerting platforms.
• Establish feedback loops between investigation outcomes and detection logic to continuously improve signal quality.
• Measure and manage detection performance using quantitative metrics (precision, recall, false positives, alert-to-case conversion, loss metrics).

Maintain structured, auditable documentation of rules, logic, assumptions, and changes.

Data Analysis, Modelling & Insights

• Analyse large, complex transactional and behavioural datasets to identify emerging fraud and AML risks across markets.
• Design and implement statistical models, machine learning approaches, and/or time-series analysis to enhance detection capabilities.
• Build and own dashboards and reporting frameworks tracking KPIs, SLAs, alert quality, investigator productivity, and risk outcomes.

Conduct trend analysis, root cause analysis, and deep dives on losses, typologies, and control gaps.

Financial Crime Oversight

• Own the end-to-end fraud and AML detection domain, ensuring alignment between prevention, detection, investigation, and remediation.
• Apply deep understanding of fraud typologies, AML/CTF risks, sanctions, and regulatory expectations to detection design.
• Manage the Fraud and AML operational teams (specialists and first-line managers) to ensure adequate coverage, capability and day-to-day execution. 
• Translate regulatory, partner, and audit requirements into scalable technical and operational controls.
• Stay ahead of evolving financial crime patterns, market-specific risks, and regulatory developments across Paystack’s footprint.

Tooling, Automation & Scale

• Partner with Product and Engineering to embed detection logic into core systems and improve monitoring, alerting, and case management tooling.
• Drive automation initiatives to reduce manual effort, improve consistency, and enable scale without compromising control quality.
• Identify and prioritise enhancements to monitoring platforms, workflows, and data pipelines.
• Ensure fraud and AML tooling evolves in line with transaction growth, new products, and new markets.

Operational Excellence

• Build and continuously improve operational processes, SLAs, KPIs, and quality frameworks across Fraud and AML teams.
• Use data and metrics to manage performance, capacity, and outcomes, ensuring teams operate efficiently and effectively.
• Identify gaps, risks, and inefficiencies, leading initiatives to strengthen controls and scale operations sustainably.
• Balance speed, quality, regulatory expectations, and customer experience in day-to-day decision-making.

Cross-Functional & Executive Collaboration

• Work closely with Product, Engineering, Data, Risk, Compliance, Legal, and Customer Operations. 
• Influence roadmap priorities related to fraud, AML, and financial crime tooling.
• Provide clear updates to senior stakeholders on operational performance, risks, and emerging issues

Support audits, partner reviews, and regulatory engagements as a subject matter expert.

Who We’re Looking For

Required 

• 7+ years in financial crime roles in payments, fintech, banking, or financial services.
• Strong technical expertise in data analysis, including advanced SQL and experience working with large, complex datasets.
• Expert Python skills, including experience with libraries such as pandas, NumPy, scikit-learn, statsmodels, and/or model pipelines.
• Proven experience designing, building, and tuning risk detection systems (fraud, AML, or similar).
• Solid understanding of statistical modelling, machine learning, and/or time-series forecasting, with experience deploying models into production or operational workflows.
• Ability to translate data insights into operational detection logic used by investigators and automated systems.
• Experience measuring and optimising detection performance using quantitative metrics.

Strong systems thinking: able to design scalable, maintainable monitoring frameworks rather than one-off rules.

• Deep understanding of financial crime typologies, fraud patterns, AML/CTF requirements, and regulatory obligations.
• Experience operating within fraud, AML, risk, or compliance functions in payments, fintech, or financial services.
• Proven experience leading and developing teams, including setting direction, coaching, and performance management.
• Ability to balance technical depth with practical operational decision-making.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

High ownership mindset and comfort operating in ambiguous, high-growth environments.

Preferred

• Experience with dbt and modern analytics stacks.
• Experience with version control systems (GitHub).
• Experience with AI-assisted tooling or advanced analytics platforms.
• Familiarity with monitoring platforms, alerting systems, transaction screening, and case management tools.
• Experience working with OLTP (MySQL/PostgreSQL/SQL Server), OLAP (Redshift/BigQuery/Snowflake), and NoSQL (MongoDB) databases.
• Industry certifications such as ACAMS, ICA, CFE, CFCS, or similar.

Why This Role Matters

This role is foundational to Paystack’s ability to scale safely. You will define how financial crime detection works at Paystack, combining strong technical systems with sound domain judgment. Success in this role directly protects customers, merchants, partners, and the broader financial ecosystem while enabling Paystack’s continued growth across Africa and beyond.

This role is open to candidates based in Nigeria, Ghana, Kenya, or South Africa

Who we are

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest-growing company in Africa. Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit, and business management tools to help them succeed. Moniepoint processed $182 billion in 2023 and currently processes the majority of the POS transactions in Nigeria.

About the role

Engineering at Moniepoint is an inspired, customer-focused community dedicated to crafting solutions that redefine our industry. Our infrastructure runs on some of the cool tools that excite infrastructure engineers - kubernetes, docker etc.

We also make business decisions based on the large stream of data we receive daily, so we work daily with big data, perform data analytics and build models to make sense of the noise and give our customers the best experience.

Curious about what makes Moniepoint an incredible place to work?
Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

Position Overview

We are seeking an experienced Cloud Engineer to design, implement, and manage our multi-cloud infrastructure. The ideal candidate will have deep expertise in cloud platforms, container orchestration, infrastructure automation, CI/CD pipelines, and observability solutions, ensuring scalable, reliable, and cost-effective cloud operations across multiple cloud providers.

Principal Duties and Responsibilities

Cloud Infrastructure Management

• Design, deploy, and manage multi-cloud infrastructure across Google Cloud Platform (GCP), Amazon Web Services (AWS), Azure, and Oracle Cloud Infrastructure (OCI)
• Architect and implement highly available, fault-tolerant, and scalable cloud solutions
• Manage cloud resources including compute instances and networking components
• Design and implement disaster recovery and business continuity plans for cloud workloads
• Migrate on-premises applications and services to cloud environments with minimal disruption
• Optimize cloud resource utilization and implement auto-scaling policies
• Maintain comprehensive documentation of cloud architectures, configurations, and runbooks

Kubernetes & Container Orchestration

• Design, deploy, and manage production-grade Kubernetes clusters across multiple cloud providers
• Implement and maintain container orchestration strategies for microservices architectures
• Configure and manage Kubernetes resource objects
• Manage Kubernetes cluster upgrades, scaling, and performance optimization
• Troubleshoot complex container and orchestration issues in production environments
• Implement multi-cluster and multi-region Kubernetes deployments for high availability

Service Mesh & Advanced Networking

• Design, deploy, and manage Istio service mesh for microservices communication and observability
• Configure Istio traffic management, including virtual services, destination rules, and gateways
• Implement advanced traffic routing (canary deployments, A/B testing, traffic splitting) using Istio
• Deploy and manage Istio observability components (telemetry, distributed tracing, service graphs)
• Implement circuit breaking, retries, timeouts, and fault injection for resilience testing
• Configure Istio ingress and egress gateways for external traffic management
• Monitor and optimize service mesh performance and resource utilization
• Implement multi-cluster service mesh architectures across different cloud providers

Reverse Proxy & Load Balancing

• Deploy, configure, and manage HAProxy for high-performance load balancing and reverse proxy
• Implement HAProxy ACLs, backend routing, health checks, and session persistence
• Design and implement Nginx as reverse proxy for web applications and API gateways
• Configure Nginx for rate limiting and request filtering
• Implement Nginx load balancing algorithms and upstream health monitoring
• Manage Nginx Plus features for advanced traffic management and monitoring
• Optimize HAProxy and Nginx performance for high-throughput environments

Infrastructure as Code & Configuration Management

• Develop and maintain infrastructure as code using Terraform
• Create reusable, modular Terraform configurations for various cloud resources and Implement Terraform state management and remote backends
• Design and implement configuration management solutions using Ansible
• Develop Ansible playbooks and roles for automated server provisioning and configuration
• Integrate Terraform and Ansible workflows for end-to-end infrastructure automation
• Implement infrastructure version control, code review processes, and GitOps practices
• Manage infrastructure drift detection and remediation
• Create and maintain infrastructure documentation and architecture diagrams
• Implement policy-as-code using tools like OPA (Open Policy Agent) or Sentinel

CI/CD Pipeline Management

• Design, implement, and maintain continuous integration pipelines using Jenkins and Harness
• Optimize build times and pipeline efficiency
• Integrate security scanning (SAST, DAST, container scanning) into CI/CD pipelines
• Configure Jenkins jobs, pipelines, and shared libraries for automated build, configure build agents, runners, and execution environments
• Implement Harness deployment pipelines for cloud-native applications
• Integrate CI/CD pipelines with version control systems (Git, GitHub, GitLab)
• Implement continuous deployment workflows using ArgoCD for Kubernetes-based applications
• Design and implement GitOps workflows with ArgoCD for declarative application delivery
• Manage ArgoCD application definitions, sync policies and multi-cluster deployments
• Implement progressive delivery strategies (blue-green deployments, canary releases) using ArgoCD

Message Streaming & Event-Driven Architecture

• Deploy and manage Apache Kafka clusters for real-time data streaming and event-driven architectures
• Configure Kafka topics, partitions, replication factors, and retention policies
• Implement Kafka Connect for data integration with various sources and sinks
• Monitor Kafka cluster health, performance metrics, and consumer lag
• Optimize Kafka performance for high-throughput and low-latency use cases
• Troubleshoot Kafka producer and consumer issues

Database & Proxy Management

• Deploy, configure, and manage ProxySQL for MySQL load balancing and high availability
• Implement query routing, caching, and connection pooling strategies using ProxySQL
• Optimize database performance through ProxySQL query analysis and optimization
• Implement database failover and disaster recovery using ProxySQL
• Monitor ProxySQL metrics and troubleshoot connection and performance issues
• Integrate ProxySQL with database clusters and replication topologies
• Implement database access security and audit logging through ProxySQL

Cloud Networking

• Design and implement cloud networking architectures, including VPCs, subnets, and network segmentation
• Configure and manage cloud load balancers (Application Load Balancers, Network Load Balancers, Cloud Load Balancing)
• Implement VPN connections, Direct Connect/Interconnect, and hybrid cloud networking solutions
• Implement network security controls, including security groups, network ACLs, and firewall rules
• Implement network monitoring and traffic analysis
• Troubleshoot complex networking issues across multi-cloud environments
• Design and implement private connectivity between cloud providers

Secrets Management & Security

• Configure and manage HashiCorp Vault for centralized secrets management across multi-cloud environments
• Configure Vault secret engines (KV, database, PKI, AWS, GCP, Azure dynamic secrets)
• Manage Vault high availability clusters and disaster recovery procedures
• Implement dynamic database credentials and secret rotation strategies
• Manage Vault encryption as a service for application-level encryption
• Implement Vault agent and sidecar injectors for Kubernetes workloads
• Migrate secrets from legacy systems to Vault

Qualifications, Competency & Skills Required

Education & Experience

• Bachelor's degree or diploma in Computer Science, Information Technology, Engineering, or related field
• Minimum of 5 years of proven experience in cloud engineering, DevOps, or platform engineering roles
• Hands-on experience managing production workloads across multiple cloud platforms
• Relevant cloud and technology certifications are highly desirable 

Technical Skills

Cloud Platforms (Required)

• Google Cloud Platform (GCP): Deep expertise in Compute Engine, GKE, Cloud Storage, Cloud SQL, VPC, Cloud Functions, Cloud Run, IAM
• Amazon Web Services (AWS): Proficiency in EC2, EKS, S3, RDS, VPC, Lambda, ECS, CloudFormation, IAM
• Microsoft Azure: Experience with Virtual Machines, AKS, Blob Storage, Azure SQL, Virtual Networks, Azure Functions, ARM templates
• Oracle Cloud Infrastructure (OCI): Familiarity with Compute, OKE, Object Storage, networking, and OCI-specific services
• Multi-cloud architecture design and implementation experience
• Cloud migration strategies and execution (lift-and-shift, re-platforming, re-architecting)

Container & Orchestration (Required)

• Expert-level Kubernetes knowledge, including cluster architecture, networking, storage, and security
• Hands-on experience with managed Kubernetes services (GKE, EKS, AKS)
• Proficiency in Docker containerization, image optimization, and registry management
• Experience with Helm charts for application packaging and deployment
• Knowledge of container runtime environments (containerd, CRI-O)

Service Mesh & Microservices (Required)

• Istio: Deep expertise in Istio architecture, deployment, and operations
• Istio traffic management (virtual services, destination rules, gateways, service entries)
• Istio security features (mTLS, authorization policies, peer authentication, request authentication)
• Istio observability and telemetry configuration
• Multi-cluster and multi-mesh deployments
• Service mesh troubleshooting and performance optimization
• Understanding of sidecar proxy patterns and Envoy proxy
• Experience with other service mesh solutions (Linkerd, Consul Connect) is a plus

Reverse Proxy & Load Balancing (Required)

• HAProxy Advanced configuration and management for load balancing and high availability
• Nginx Expert-level configuration as reverse proxy and API gateway
• Nginx rate limiting, and performance tuning
• Nginx load balancing algorithms and upstream configurations
• Experience with Nginx modules and custom configurations
• High availability configurations using keepalived, VRRP, or similar
• Integration with Kubernetes ingress controllers (Nginx Ingress, Istio Ingress)

Infrastructure as Code (Required)

• Advanced Terraform skills for multi-cloud infrastructure provisioning
• Terraform module development, state management, and workspace strategies
• Proficiency in Ansible for configuration management and automation
• Ansible playbook development, roles, and inventory management
• Experience with version control systems (Git) and GitOps workflows
• Infrastructure testing frameworks (Terratest, Kitchen-Terraform)

CI/CD Tools (Required)

• Jenkins: Pipeline development (declarative and scripted), shared libraries, plugin management
• Harness: Deployment pipeline configuration, workflow creation, approval gates
• ArgoCD: GitOps workflows, application synchronization, multi-cluster management
• Integration of CI/CD tools with Kubernetes and cloud platforms
• Automated testing and deployment strategies
• Artifact repository management (Nexus, Artifactory, cloud-native registries)

Messaging & Streaming (Required)

• Apache Kafka architecture, cluster management, and operations
• Kafka topic design, partitioning strategies, and performance tuning
• Kafka Connect experience
• Experience with Kafka management tools (Kafka Manager, Cruise Control)
• Understanding of event-driven architectures and patterns

Database & Proxy Technologies (Required)

• ProxySQL configuration, management, and optimization
• MySQL database administration basics
• Understanding of database replication and clustering

Observability & Monitoring (Required)

• Prometheus metrics collection, PromQL, and alerting rules
• Grafana dashboard design and visualization techniques
• Log aggregation and analysis

Networking (Required)

• Deep understanding of TCP/IP, DNS, HTTP/HTTPS, and network protocols
• Cloud networking concepts (VPC, subnets, routing tables, NAT, VPN)
• Load balancing strategies and implementations
• Service discovery and DNS-based routing
• Network security and firewall configuration
• Software-defined networking (SDN) concepts

Scripting & Programming

• Proficient in scripting languages: Python, Bash
• Go or python programming basics for tooling development
• YAML and JSON for configuration management
• Understanding of software development best practices

Secrets Management (Required)

• HashiCorp Vault: Advanced knowledge of Vault architecture, deployment, and operations
• Vault authentication methods and integration with cloud providers and Kubernetes
• Vault secret engines (KV v1/v2, database, transit, cloud dynamic...

What we can offer you

• Culture -We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A technical interview with the Hiring Manager
• A behavioural and technical interview with a member of the Executive team.