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Requirements:
Education and Experience Required:
Bachelor's or master's degree in computer science, engineering, information systems, or closely related quantitative discipline.
Typically, 7-10 years experience.

Knowledge and Skills:
Strong programming skills in Python, Java, Golang, or JavaScript.
Understanding microservice architecture and how they can be built in a containerized, Kubernetes-managed environment is central to all modern cloud-native applications.
Designing and integrating software systems running on multiple platform types into the overall architecture.
Evaluating forms and processes for software systems testing and methodology, including writing and executing test plans, debugging, and testing scripts and tools.
Excellent written and verbal communication skills. Ability to effectively communicate product architectures and design proposals at senior management levels.

Additional Skills:
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX).

Requirements:
3+ years of experience leading engineering teams, preferably in a global/distributed setup.
Deep understanding of Fintech or E-commerce backend systems (Ledgers, Payment , Tax Engines, or Transactional Integrity and Financial reports ).
Strong background in .NET / C# and distributed architectures.
Hands-on experience with Event-Driven Architecture (Kafka/RabbitMQ) and high-throughput microservices.
Experience with SQL & NoSQL databases at scale.
Expert at navigating the SDLC in a High-Pace environment, balancing rapid feature delivery with long-term system stability.
Excellent communication skills in English , mitigation capabilities , ability to context switch.

Requirements:
At least 5 years proven experience developing end to end web applications with Asp.net MVC/.Net Core
At least 1 year proven experience developing with Net.Core.
Understand design patterns and OOD/OOP principles
Experience working with micro-services
Experience working with relational & NoSQL databases
Writing unit testing using major frameworks - nunit, xunit, or equivalent
Experience integrating deployment tools (MS Build, bit bucket etc.) - advantage
Experience with performance tuning and analysis (NewRelic, AppDynamics, winDbg, Ants, perfmon, counters etc.) - advantage
Experience with Agile methodologies - advantage
Experience working with Couchbase, RabbitMQ - advantage
Experience working with Amazon cloud/Azure - advantage.

Requirements:
Minimum of 5 years of proven experience in end-to-end web application development.
Strong product mindset - ability to act independently across the full stack, from scoping and development to deployment and post-prod, without requiring close oversight.
Strong proficiency in frontend technologies such as React (mainly), Vue.js, or Angular.
Competence in E2E approach (Requirements<>Dev<>Testing<>Post production)
Experience working with relational and NoSQL databases.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities in English.
Hands-on experience with LLMs, AI agents, and AI-assisted development tooling (e.g., GitHub Copilot, Cursor, or custom agentic workflows).
Experience with cloud platforms such as Google Cloud, AWS, or Azure.
Knowledge of containerization technologies such as Docker and Kubernetes.
Experience working in both microservices and monolithic architecture environments.
Familiarity with observability tooling (logging, metrics, tracing).
Understanding of agile software development methodologies.

Requirements:
Bachelors degree in computer science, Software Engineering, or a related field (or equivalent work experience).
More than 3 years of working experience in C and C++ and on Desktop applications.
Working experience on Windows and Linux environments
Knowledge and experience of Agile software development.
High communication skills in English
Team player, fast learner, highly motivated, creative and responsible with excellent interpersonal skills
Geometric algorithms development experience is an advantage!
Background in Electronics / PCB Manufacturing industry or closely related area an advantage!

Requirements:
B.Sc. in Computer Science from a leading university OR Alumnus of an elite military technology unit - MUST
At least 5 years of hands-on backend software development experience, primarily in Node.js - A MUST
Deep knowledge of the JS event loop and asynchronous programming. - A MUST
Practical experience with frontend development (e.g., React) and a strong willingness to contribute to client-side development when necessary to deliver end-to-end features - A MUST
At least 5 years with Cloud Computing across at least one of the big three providers (AWS, Azure, GCP), with a focus on Cloud-Native services. This includes expertise in serverless computing, managed container orchestration (EKS/AKS/GKE), and auto-scaling strategies beyond basic IaaS/VM management - A MUST
Proven experience designing scalable services using Microservices Architecture and related patterns (e.g., Service Mesh, API Gateway, BFF).
Strong understanding of Event-Driven Design (e.g., high-throughput message brokers like Kafka, RabbitMQ, SQS) and Domain Driven Design (DDD) principles.
Experience with high-speed in-memory state management (e.g., Redis) and relational data stores (e.g., PostgreSQL).
Hands-on experience with containerization technologies, specifically Docker and basic Kubernetes usage.
Deep understanding of Infrastructure as Code (IaC) principles. Proven experience managing cloud infrastructure programmatically using tools like Terraform, AWS CDK, or Pulumi (we treat infrastructure as software) - A Big Advantage
Deep expertise in designing highly secure, multi-tenant SaaS solutions, ideally with knowledge of Zero Trust Architecture (ZTA), mTLS, and secure edge-to-cloud communications.
Strong understanding of CI/CD concepts and automation tools.
Team player, with strong communication, collaboration, and active listening.
Agile/Scrum environment expertise.
Experience designing data pipelines for high-volume time-series telemetry and implementing long-term, cost-optimized data retention strategies (e.g., Object storage tiering).
Experience with Geospatial processing (GIS), mapping technologies (Map tile services, GeoJSON, OGC standards), and implementing spatial rules/geo-fencing.
Advanced Kubernetes experience (Operators, CRDs, Helm) for complex deployment scenarios.

Requirements:
5+ years of hands-on experience in client-side development.
Strong experience with Angular-MUST
Proven experience using AI tools in development workflows.
Strong understanding of software fundamentals and system design.
Experience influencing technical decisions and reviewing code.
Experience with Git (GitHub advantage).
Strong ownership, communication skills, and collaborative mindset.
Nice-to-Have:
Experience with Playwright or other modern testing frameworks.
Backend or full-stack development experience.
Familiarity with cloud environments and distributed systems.
Experience with data-intensive or security-sensitive systems.
Previous mentoring or technical leadership experience.
Ability to coach others in effective use of AI-assisted development.

Requirements:
5+ years of professional experience with C# OR Java.
Strong hands-on experience with the .NET ecosystem (.NET Framework, .NET Core, ASP.NET Core, Kestrel).
Bachelors degree in Computer Science or a related field from university.
Experience designing, building, and operating microservices on Kubernetes.
Proven ability to own features e2e - from planning and design through development and unit testing.
Excellent communication skills and a strong team-oriented mindset.
Preferred
Experience with Microsoft Azure (e.g., App Service, AKS, Service Bus, Key Vault).
Experience developing and publishing reusable .NET libraries as NuGet packages.

Requirements:
Experience: 5+ years of experience in a backend, ML engineering, or MLOps role with a demonstrable track record of successfully deploying and maintaining code in high-volume production environments.
Programming Mastery: Strong proficiency in Python with a deep understanding of software engineering principles, design patterns, and debugging.
Applied ML/LLM Knowledge: Hands-on experience developing and fine-tuning models using frameworks like PyTorch, HF ecosystem and deepspeed, alongside practical experience with LLMs, prompt engineering, and vector databases.
Data & MLOps Infrastructure: Strong experience with Data/MLOps tools (e.g., MLflow, Airflow, DVC) and deployment technologies (CI/CD, Kubernetes, containerization).
Big Data & Cloud: Proficiency with big data platforms (like Databricks or PySpark) and a solid understanding of public cloud platform architectures.
Ownership: Exceptional problem-solving skills with the ability to take full ownership of complex tasks from the design phase through to full production implementation.
Advantages
Prior experience building cybersecurity, data protection, or enterprise threat detection products.
Familiarity with user behavior-based anomaly detection or metadata analytics.
Experience with advanced retrieval-augmented generation (RAG) frameworks.

Requirements:
5 years of experience in building complex backend systems.
Experience in C# / JAVA / .NET
Expertise in microservice architecture
Proficiency in working with various backend technologies such as databases, caches, k8s, containers, Kafka and cloud environments.
Excellent problem-solving skills and ability to work well in a team.
Experience in the cybersecurity space is an advantage.

Requirements:
What You'll Need
3+ years building production web applications with modern frameworks
Strong understanding of component-based frontend architecture
Experience with RESTful APIs and database design principles
Proficiency in a statically-typed language (TypeScript, Go, Java, etc.)
Knowledge of testing strategies (unit, integration, e2e)
Understanding of containerization and deployment pipelines
Experience with message queues and event-driven architectures
Primary Stack Components
React (TypeScript)
NestJS (TypeScript)
MongoDB and Postgres
RabbitMQ
Kubernetes.

Requirements:
5+ years of experience in cloud infrastructure engineering, with at least 3 years focused on cloud financial management/FinOps
Deep understanding of major cloud platforms (AWS, Azure, GCP) and their pricing models
Experience using FinOps tools
Strong skills in data analysis and visualization tools
Proficiency with infrastructure as code
Experience with cost allocation methodologies and chargeback models
Solid understanding of financial concepts as they apply to technology investments
Excellent communication skills with the ability to effectively communicate complex technical and financial concepts to diverse audiences
FinOps Foundation certification preferred (FinOps Certified Practitioner)
Technical Skills
Cloud Platforms: AWS, Azure, GCP (certification in at least one platform preferred)
Experience with AI/ML for FinOps (cost optimization, anomaly detection, forecasting)
Programming/Scripting: Python, Bash, PowerShell
Data analysis and visualization tools: PowerBI
Infrastructure as Code: Terraform, CloudFormation
Containerization and Orchestration: Docker, Kubernetes, ECS
CI/CD: GitHub Actions, Jenkins, GitLab CI
Database Systems: Experience with SQL and NoSQL databases.

Requirements:
6+ years of relevant DevOps experience in large-scale production environments
Extensive experience in cloud computing technologies, preferably AWS.
Experience with ELK stack and monitoring solution like Grafana/Prometheus
Proven experience with Infrastructure as Code (IaC) tools such as Terraform and Terragrunt.
Proficiency with GitOps and CI/CD methodologies and tools like ArgoCD, Crossplane
Proven experience working with Kubernetes (K8s) in production environments.
DevOps Security Mindset: Deep understanding of secure development lifecycles and infrastructure, with experience in building and managing the full application release cycle (CI/CD).
A solid understanding of computer networking fundamentals, k8s Ingress, and cloud security concepts.
Strong ability to lead, design, and execute cross-organization projects
Excellent communication skills and the ability to execute projects from design to implementation.
Experience with FEDRAMP -An advantage.

Requirements:
M.Sc. or B.Sc. in Computer Science (CS), Electrical Engineering (EE), or equivalent practical experience from an accredited institution.
Exceptional coding skills with 5+ years of advanced experience in C or C++.
Experience in distributed parallel systems-Advantage.
Demonstrated Leader qualities-Advantage.

Requirements:
The skills and qualities youll bring include:

A minimum of 8 years experience in software development using Python/GO/Node.js or other equivalent programming languages

Excited by technology, curious and eager to learn, with the ability to mentor more junior members of the team

The attitude and ability to thrive in a high-growth, evolving environment

Collaborative team player who has the ability to partner with others and drive toward solutions

Strong creative problem solving skills

Solid communicator with the ability to clearly convey objectives and rationale whilst fostering commitment from others both within the team and cross functionally

Brings a customer-first mindset to engineering, and integrates customer impact into everyday decision making

Excellent attention to detail

Approaches change with openness and curiosity, seeking to understand the why and helping team adapt quickly and effectively

Demonstrable experience of delivering complex solutions to customers

Demonstrable experience of instigating continuous delivery and continuous integration patterns

Core Value Embodiment: Embody our core values to foster a culture of excellence that drives meaningful impact and collective success