We are seeking a seasoned Platform / Site Reliability Engineer to lead the evolution and performance of our Kubernetes-based production environment. In this role, you will drive reliability, scalability, and observability across mission-critical systems while working hands-on with Kubernetes, GCP, Terraform, and modern infrastructure automation. You will partner closely with Engineering and Support teams to optimize system performance, influence architectural decisions, and build resilient platforms that enable business growth at scale.

Responsibilities:

• Maintain, scale, and enhance our Kubernetes production platform
• Improve the performance, reliability, and availability of production systems
• Ensure comprehensive observability across services, infrastructure, and applications (metrics, logs, traces, alerts)
• Diagnose and tune database and service performance across distributed systems
• Partner with Development teams to assess platform impact of new features and architectural changes
• Identify architecture bottlenecks and contribute to scalable, resilient technical solutions
• Collaborate with Support teams to build and maintain operational runbooks and improve incident response processes

Requirements:

• 5+ years of hands-on Kubernetes experience in production environments
• Strong expertise with Linux systems administration and troubleshooting
• GCP cloud experience required; multi-cloud exposure is a plus
• Proficiency with Terraform and infrastructure-as-code workflows
• Strong understanding of container lifecycle management and deployments
• Programming experience in Go, Python, or a comparable language
• Experience with database performance optimization and tuning
• Solid knowledge of networking fundamentals and network-level troubleshooting

Education and Experience:

• At least 10+ years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience preferred
•  Degree in Computer Science, Engineering, or related field preferred
  
  

#LI-KB7

#LI-Hybrid

#GCP

#Python

So, What's the Role All About?

We are looking for a Specialist Software Architect to lead the architectural vision, design, and evolution of our AI-driven and Conversational Solutions platform. This role demands deep hands-on expertise in Python, AWS Cloud services, AWS Knowledge Hub, and multiple Knowledge Base technologies, along with proven experience designing simplified, scalable, and resilient architectures using microservices and AWS-native services.

You will play a critical role in shaping the technical foundation of our Conversational AI platform — one that handles millions of interactions per day, meets strict SLAs (99.99%), and supports zero-downtime deployments, robust disaster recovery, and enterprise-grade AI orchestration. You will be the go-to architect for proposing pragmatic, simplified designs that balance innovation with operational excellence.

How Will You Make an Impact?

Architecture & System Design:

• Own and define the end-to-end architecture of the Conversational AI and Knowledge platform, covering AI model integration layers, data stores, knowledge bases, and external integrations.
• Design enterprise-scale, cloud-native, microservices-based architectures capable of handling high concurrency, burst traffic, and real-time conversational workloads.
• Propose simplified, cost-effective architectural designs leveraging AWS-native services — avoiding over-engineering while ensuring scalability and resilience.
• Define reference architectures, architectural blueprints, and non-functional requirements (NFRs) for performance, reliability, security, and maintainability.
• Drive event-driven and asynchronous architectures using AWS-native services such as SQS, SNS, EventBridge, and Step Functions.
• Define best practices for microservices design, domain-driven design (DDD), API design (REST, async/event APIs), and AI integration patterns.
• Review and guide complex application-level designs, critical code paths, and AI pipeline architectures.

AI & Conversational Solution Architecture:

• Architect and evolve AI-driven Conversational solutions integrating large language models (LLMs), prompt engineering patterns, and enterprise AI orchestration frameworks.
• Design and implement Knowledge Base solutions using AWS Knowledge Hub, vector databases, RAG (Retrieval-Augmented Generation) architectures, and other knowledge management technologies.
• Define AI model integration strategies — including model selection, fine-tuning approaches, embedding pipelines, and response quality frameworks.
• Drive conversational UX architecture, ensuring seamless, context-aware, and low-latency interaction flows.
• Evaluate and recommend AI tooling, platforms, and frameworks aligned with business needs (e.g., AWS Bedrock, LangChain, OpenAI, Anthropic, Kore.ai, Dialogflow).
• Lead the design of multi-turn conversation management, intent resolution, and fallback handling architectures.

AWS Cloud & Microservices Architecture:

• Architect and optimise solutions using AWS services including but not limited to Lambda, API Gateway, SQS, SNS, Step Functions, DynamoDB, Aurora Serverless, S3, Bedrock, and Kendra.
• Design cost-efficient, elastic scaling strategies aligned with unpredictable conversational AI workloads.
• Lead cloud governance, environment isolation, multi-account strategy, and infrastructure-as-code (IaC) practices.
• Define CI/CD pipeline standards, DevOps practices, and containerisation approaches (Docker, Kubernetes) for AI workload deployments.
• Drive microservices decomposition strategies — identifying service boundaries, inter-service communication patterns, and data ownership models.

Scalability, Resilience & Disaster Recovery:

• Design for extreme scale — high concurrent users, high TPS, and real-time AI inferencing demands.
• Own resilience strategies including multi-AZ and multi-region architectures, active-active or active-passive DR setups, and graceful degradation mechanisms.
• Define and validate RPO/RTO goals, conduct chaos testing, and lead DR drills.
• Ensure zero-downtime deployment capabilities through blue/green, canary, and rolling deployment strategies.

Security, Compliance & Reliability:

• Embed security by design across all AI and data architecture layers — covering authentication, authorisation, data privacy, encryption, and model safety guardrails.
• Support compliance requirements (SOC2, ISO, GDPR) from an architectural standpoint, particularly around AI data handling and knowledge base access controls.
• Partner with SRE and DevOps teams on observability, logging, distributed tracing, and alerting for AI workloads.
• Define SLIs, SLOs, and capacity planning models for conversational AI services.

Technical Leadership & Collaboration:

• Act as a technical mentor and trusted advisor to senior engineers, tech leads, and implementation teams.
• Lead architecture reviews, design councils, and technical decision forums — championing simplicity, pragmatism, and long-term maintainability.
• Partner closely with Product Management, AI/ML teams, and delivery teams to balance innovation with execution feasibility.
• Drive the long-term AI architecture roadmap and proactively reduce technical debt.

Have You Got What It Takes?

Experience & Education:

• Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent work experience.
• 10+ years of professional software engineering experience, with at least 4–5 years in a software architect or principal engineer role.
• Demonstrated experience designing and delivering AI-driven or Conversational AI platforms at enterprise scale.

Technical Expertise:

• Deep hands-on experience with Python — including AI/ML libraries, API development, and automation scripting.
• Strong expertise in AWS Cloud services — particularly those relevant to AI workloads: Bedrock, Kendra, Lambda, API Gateway, SQS, SNS, Step Functions, DynamoDB, S3, and Aurora Serverless.
• Hands-on experience with AWS Knowledge Hub and multiple Knowledge Base technologies including vector databases, document stores, and semantic search platforms.
• Proven experience designing microservices architectures — including service decomposition, inter-service communication (REST, gRPC, event-driven), and distributed data management.
• Strong understanding of:
• RAG (Retrieval-Augmented Generation) architectures and embedding pipelines
• Prompt engineering and LLM integration patterns
• Modern authentication standards (OAuth2, OIDC, SAML)
• Web APIs — REST and async/event API design
• Databases (SQL/NoSQL) and data integration patterns
• Experience with CI/CD pipelines, DevOps practices, and containerisation (Docker, Kubernetes).
• Familiarity with AI tooling and platforms such as AWS Bedrock, LangChain, OpenAI, Anthropic, Dialogflow, or Kore.ai.
• Experience with GenAI and Agentic AI application development.

Architecture & Scale:

• Demonstrated success designing systems for high traffic, low latency, and high availability at global scale.
• Deep experience with resilience, disaster recovery, and failover design in cloud-native environments.
• Strong track record of proposing simplified, pragmatic architectural solutions that avoid unnecessary complexity.
• Experience with event-driven systems, message queues, and streaming architectures.
• Strong understanding of cloud networking, caching strategies, and data modelling for AI workloads.

Good to Have:

• Experience with CCaaS or real-time communication platforms (e.g., NICE CXone).
• Exposure to multi-region SaaS deployments and hybrid serverless/container architectures.
• Familiarity with OpenSearch or Elasticsearch for conversational data search and analytics.
• Experience with cost optimisation strategies at scale on AWS.
• Knowledge of frontend technologies (JavaScript/TypeScript, React) for full-stack architecture awareness.

What's in It for You?

Join an ever-growing, market-disrupting, global company where the teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX! At NICE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility — 2 days working from the office and 3 days of remote work each week. Office days focus on face-to-face collaboration where teamwork and creative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

Requisition ID: 10787

Reporting Into: Director , Engineering

Role Type: Individual Contributor 

About the Role 
Reporting to the Software Engineering Manager as a member of the Development team at IDC, the 
Principal Software Engineer is responsible for delivering quality and performant software and design to handle the vast array of use cases that our customers have today. 
This role is responsible for Developing Software Solutions by learning information needs, discussing with managers, studying systems flow, data usage, finding problem areas and coming up with solutions & following the software development lifecycle. 

Responsibilities:  
 Responsible for technical development of multiple projects & products  
 Working on data structures & algorithms, time & space complexity, OOPs 
 Transforming Logic to Code 
 Designing and developing UI front end Technologies. 
 Working on web application development  
 Developing products by using different technologies  
 Doing optimization of Code  
 Working on Debugging and fixing Cross Browser Compatibility issues and Optimization for web by using best practices  
 Making sure that Web applications are secure 
 DevOps transformation using Agile and SCRUM methodologies. 
 Provide recommendations for continuous improvement. 
 Assisting in the integration of technical and application components 
 Work alongside other team members & Leaders to elevate technology and consistently apply best practices. 
 Responsible for providing smart & applicable solutions for complex problems/ blockers 
 Supports and mentor junior team members by providing advice, coaching & solutions for blockers 

Qualifications, Skills & Experiences 
 
 5+ plus years’ experience in product development field with hands on experience. 
 Strong knowledge in OOPS with .Net, C# or relevant technologies with SQL Server or any RDBMS 
 Hands on experience in design and development on UI front end Technologies. 
 Good exposure to web application development using HTML 5, CSS3 ,Bootstrap, JavaScript. 
 Experience in development of Angular 4+, VueJS or React. 
 Expertise in Responsive web design, HTML5, and CSS pre-processors 
 Strong in JavaScript (object oriented concepts) & JavaScript optimization  
 Strong logical, analytics and problem-solving skills 
 Must be able to work effectively across team boundaries. 
 Attention to details 
 Ability to work independently 
 Strong oral and written communication skills 
 Working knowledge of CI/CD pipelines and AWS/Azure cloud services is essential 
 Hands on experience of building products for unix systems in addition to windows is good to have 
 Very good communicator 
 
Education: 
 Engineering graduate or higher from Tier I or Tier II colleges.  

About the Role

We are looking for a Senior Staff Software Engineer to join the Veeam Data Cloud (VDC) engineering team at its highest individual contributor tier. In this role, you will shape the long-term technical direction of VDC, operating with organization-wide scope and influence. You will define architectural standards, resolve the most complex and ambiguous engineering challenges, and mentor a generation of Staff and senior engineers.

This is a rare opportunity to be a founding technical voice on greenfield projects — designing next-generation data protection services that will be deployed and relied upon worldwide. You will be a trusted partner to engineering leadership, product management, and cross-functional stakeholders, bridging technical excellence with business strategy.

What You’ll Do

• Technical Strategy & Architecture

  • Own and drive the multi-year technical roadmap for the Veeam Data Cloud platform, aligning engineering decisions with company strategy.
  • Define, communicate, and enforce architectural standards, design patterns, and engineering principles across multiple teams and product areas.
  • Lead architectural reviews for major systems, proactively identifying structural risks and establishing long-term scalability and resilience frameworks.
  • Author foundational technical design documents (RFCs, ADRs) that serve as the engineering blueprint for the broader organization.

  Engineering Execution & Excellence

  • Personally contribute to the most critical, highest-complexity engineering challenges across the organization — including those that span team boundaries.
  • Design and develop highly reliable, planet-scale SaaS microservices integrated with managed cloud services (Azure, AWS, GCP) using Golang and modern cloud-native patterns.
  • Establish and champion engineering quality standards: testing philosophy, observability, performance benchmarks, security posture, and release reliability.
  • Drive the adoption of emerging engineering practices — including AI-powered developer tooling, automated code generation, and LLM-assisted testing and debugging.

  Organizational Leadership & Influence

  • Serve as the primary technical escalation point across engineering — resolving the most ambiguous, cross-cutting problems that no individual team can own alone.
  • Partner with engineering managers and directors to set execution standards, unblock delivery, and ensure timely, predictable outcomes across multiple teams.
  • Represent engineering in cross-functional leadership forums (product, security, infrastructure, finance) and act as a decision-maker on technical trade-offs with business impact.
  • Drive the organization-wide engineering culture: nurturing psychological safety, technical curiosity, and a bias toward measurable outcomes.

  Mentorship & Talent Development

  • Provide deep technical mentorship to Staff, Senior, and mid-level engineers, accelerating their growth and expanding team capability.
  • Lead structured technical coaching, design review sessions, and architectural war-games to sharpen engineering judgment across the organization.
  • Identify, recruit, and help retain top engineering talent; actively shape the interview process and hiring bar for senior roles.

  Operational Ownership

  • Participate in on-call rotation and lead incident response for critical production events, driving root cause analysis and systematic resolution.
  • Own post-incident reviews and embed learnings into platform improvements and operational runbooks.

What You’ll Bring

• 15+ years of progressive software engineering experience, with a proven track record as a principal-level individual contributor.
• Demonstrated expertise designing, building, and operating SaaS or large-scale cloud services on Azure, AWS, or GCP at organization-defining scale.
• Deep expertise in Go (Golang) and/or other systems-grade modern languages (C#, Java, Rust, Scala); polyglot mindset with language-agnostic design thinking.
• Mastery of distributed systems: event-driven architecture, eventual consistency, high-availability design, and fault-tolerant microservices.
• Expert-level command of container orchestration (Kubernetes, Docker) and cloud-native infrastructure patterns.
• Exceptional communication and leadership skills — able to drive clarity and alignment across engineering, product, and executive audiences.
• Strong computer science fundamentals: data structures, algorithms, concurrency, and systems design.
• A track record of delivering greenfield projects from zero to production at scale, with full ownership of quality, security, and reliability.

Bonus Skills

• Experience leveraging AI capabilities (LLMs, generative AI, co-pilot tooling) in product development workflows — either as a feature builder or as a force-multiplier for engineering productivity. 
• Hands-on experience building AI-powered features into SaaS products: integrating model APIs, designing prompt pipelines, or building AI-assisted developer experiences.
• Background in data protection, backup, disaster recovery, or storage infrastructure.
• Experience in platform or infrastructure engineering serving other engineering teams as internal customers.

What You’ll Get

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application. 

#LI-KP1

The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

• Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

• Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

• Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
• Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
• Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
• Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

• Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
• Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
• Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

• Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

• Languages: Python (Expert).
• AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
• Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

Role Summary

We are seeking a Principal Engineer (.NET) to lead the architecture, design, and delivery of scalable, high-performance SaaS platforms. This role merges technical expertise with strategic leadership, ensuring robust system design and engineering excellence while facilitating communication between our Pune and Boston (US) teams.

As a senior technical leader, you will oversee complex team initiatives, set architectural direction, and guide the development of solutions using the Microsoft technology stack.

Product & Technical Context

• Large-scale SaaS / enterprise platforms
• Backend: .NET / .NET Core (C#), ASP.NET Core, Entity Framework ● Architecture: Microservices, distributed systems, event-driven architecture ● Cloud: Microsoft Azure (preferred) or AWS.

Infrastructure & Tools:

• Azure Kubernetes Service (AKS), App Services
• Azure SQL, NoSQL databases
• Messaging systems (Service Bus / Kafka / RabbitMQ)
• CI/CD (Azure DevOps / GitHub Actions)
• Frontend: Angular / React (ecosystem awareness preferred)

Key Responsibilities

Architecture & System Design

• Lead system-level architecture and design for complex distributed systems.
• Develop AI-powered features that utilize large language models to enhance user workflows.
• Translate business requirements into scalable, secure, and maintainable solutions.
• Define and implement:
• Microservices architecture
• API-first design
• Event-driven systems

• Produce and maintain:
• High-Level Designs (HLDs), Low-Level Designs (LLDs)
• Architecture diagrams
• Technical documentation

• Ensure systems meet non-functional requirements:
• Scalability, performance, availability, security

Technical Leadership & Execution

• Drive architecture discussions and technical decisions across teams.
• Act as the go-to expert for the .NET ecosystem and system design.
• Stay hands-on with coding and solutioning as needed.
• Own the delivery of large-scale, cross-team initiatives.

Engineering Excellence & Best Practices

• Define and enforce:
• Coding standards
• Design patterns
• Testing strategies
• CI/CD best practices

• Ensure high-quality, maintainable, and performant codebases.
• Promote the adoption of modern engineering practices and tools.

Cloud & Infrastructure

• Architect and optimize solutions on Microsoft Azure.
• Work with:
• AKS / Kubernetes
• Azure services (App Services, Functions, Storage, Networking).
• Ensure:
• Cost optimization
• Performance tuning
• High availability and fault tolerance

Problem Solving & Decision Making

• Address complex technical challenges at scale.
• Conduct buy vs build analysis.

Make decisions considering:

• Performance
• Cost
• Maintainability
• Long-term scalability

Leadership & Mentorship

• Mentor engineers across teams and levels.
• Drive technical excellence and knowledge sharing.
• Support team growth, hiring, and succession planning.
• Serve as a technical role model within the organization.

Collaboration & Stakeholder Management

• Collaborate closely with:
• Product managers
• Engineering leaders
• Business stakeholders

• Align technical solutions with business goals.
• Effectively communicate complex technical concepts to stakeholders.

Required Skills & Experience

• 10+ years of experience in software engineering.
• Strong expertise in:
• C# / .NET / .NET Core / ASP.NET Core.

• Proven experience in:
• Designing scalable distributed systems.
• Microservices architecture.
• API design and integrations.

• Hands-on experience with:
• Microsoft Azure (must-have).
• Kubernetes / Docker.
• CI/CD pipelines.

• Strong understanding of:
• Design patterns & architecture principles.
• Performance optimization.
• High availability & fault tolerance.

• Experience with:
• SQL (Azure SQL / SQL Server).
• NoSQL databases.
• Messaging systems.

What Success Looks Like

• Scalable and well-architected systems that support business growth.
• Strong engineering practices adopted across teams.
• High system reliability, performance, and maintainability.
• Teams empowered through strong technical leadership and mentorship.

Why This Role Matters

This is a high-impact leadership role where you will define architecture at scale, influence multiple teams, and shape the technical direction of critical platforms. You will play a vital role in ensuring long-term system sustainability, innovation, and engineering excellence.

Role Overview:

• This is a foundational leadership role; the work here impacts how every product, customer, and partner experiences Kaseya. Role will be responsible for building and executing the Identity and API strategy for Kaseya's platform.  
• This position demands deep technical expertise in Identity platforms combined with strategic product thinking and cross-functional collaboration. 
• This role will work closely with product, security, legal, sales, and marketing teams across the organization to build foundational capabilities that become force multipliers for the entire platform. 
• This role shapes the core platform layer that enables engineering teams to build, automate, and operate software and AI-enabled systems reliably at scale.  

What will you do:

What You'll Do As a Principal Engineer, you will be the technical north star for our IAM and Control Plane strategy. Your role transcends individual features; you will be responsible for the long-term health and architectural evolution of our identity systems. Own the end‑to‑end technical design of IAM services, including identity lifecycle management, authentication, authorization, SSO, and privileged access controls, ensuring they are secure, scalable, and highly available. 

• Architectural Leadership: Lead the design and evolution of a secure, high-throughput, low-latency IAM systems that power both customer-facing and internal service APIs. Lead design and implementation of IAM integrations for SaaS, on‑prem, and cloud platforms, including federation (SAML, OIDC, OAuth), MFA, and Passwordless capabilities.
• Technical Strategy: Define the roadmap for migrating or scaling our legacy authentication and authorization systems into modern, distributed architectures.
• Cross-Functional Influence: Work closely with Product, Security, and UX teams to translate complex business requirements into robust, secure technical specifications.
• Mentorship & Excellence: Set the standard for engineering excellence through deep code reviews, technical design documents, and mentoring senior engineers.
• Operational Stewardship: Oversee the reliability of a platform under constant load, ensuring observability and resilience are baked into the core of the system.  

Required Skills:

• Extensive Experience: 10+ years of professional experience building and managing software applications at a massive scale (with at least 5 years at Sr Staff or Principal level).
• Identity Domain Expertise: Deep understanding of IAM protocols (OAuth2, OIDC, SAML), RBAC/ABAC models, and the security implications of session management at the edge. Experience with Active Directory and extensive experience implementing federation protocols (SAML, OIDC, OAuth2).
• Experience in Data Security or related areas and expertise in following--Authentication, Network, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus.
• Distributed Systems Mastery: Proven track record in designing, architecting, and debugging large-scale distributed systems that handle global traffic.
• Language Proficiency: Deep knowledge of Go, Java, TypeScript, Rust, or similar is highly valued.
• API Stewardship: Significant experience designing and versioning public-facing APIs that are used by millions of developers.
• Recruit and mentor top-tier engineering talent to scale our security infrastructure. 

Desirable Skills:

• Observability Advocate: A passion for building "observable" systems using Prometheus, Grafana, and Kibana to proactively identify failures.
• Infrastructure as Code: Experience with modern containerized deployment (Docker & Kubernetes), Terraform, and infrastructure automation.
• Security Mindset: A background in security engineering or formal verification of protocol implementations.
• Strategic Delivery: A history of leading multi-quarter projects from conception to global rollout in partnership with product owners.  

•Are you curious, excited by experimentation and always looking to innovate?
•Do you want to work in embedded payments where you can keep learning and developing whilst getting hands-on experience?
•Do you want to have the opportunity to play an important role in a rapidly growing and exciting Fintech business?

If so, we would love to connect and collaborate!

We want to hire ambitious, and value-adding talent into Modulr, one of the fastest growing payments businesses in the UK and Europe. Modulr is experiencing significant growth, and in this role you will work in a cross-functional team who are asked to solve a problem, rather than be handed a task to do. This is an excellent opportunity to work in a high-growth environment with a fast-paced and collaborative culture where you will have great opportunities to work on challenging problems.

About us
At Modulr, our vision is a world where all businesses are powered by embedded payments. Modulr enables businesses, from SMEs to Enterprise, initially across the UK and Europe to efficiently pay-in, collect and disburse funds instantly via a range of payment schemes, accounts, and card products.
We have created an industry-leading API platform with comprehensive online tools and access, to meet the demands of daily business payments. We have two routes to market. Our Core Business Payments product allows customers in any sector to connect to us and our expanding network of accounting and payroll platforms, including Sage, Xero, BrightPay and IRIS to automate payments. Our Vertical Solutions targets a growing range of industry verticals which directly connect their IT platforms to our APIs and webhooks. We solve complex payment problems for hundreds of clients in a range of industries, including Travel, Lending, Wage Advance, and Investment & Wealth.
We are deeply integrated into the payment eco-system. In the UK, we are direct participants of Faster Payments and Bacs. Modulr hold settlement accounts at the Bank of England. Our payment network connectivity includes CHAPS, Open Banking, SEPA, SWIFT and account issuance in multiple currencies. We are principal issuing members of Visa and Mastercard schemes across UK and Europe.
Our regulatory permissions and governance structure are the foundations of our business. We are regulated and supervised as an Authorised Electronic Money Institution (AEMI) in the UK by the Financial Conduct Authority and in the Netherlands by De Nederlandsche Bank.
Our founding team has a wealth of experience in the payments industry and growing successful businesses. Modulr is backed by the venture arms of payments giants PayPal and FIS, as well as growth investors Blenheim Chalcot, General Atlantic, Frog Capital and Highland Europe.
Modulr now has over 400 employees spread globally across offices in London, Edinburgh, Amsterdam, Mumbai and Pune.

Modulr values
•Building the extraordinary; going that extra mile.
•Owning the opportunity; be passionate and proud of the time you invest.
•Move at pace; reach goals faster whilst supported on your career journey.
•Achieve it together, working collaboratively and being a Modulite.

The Team
At Modulr we are focused on building autonomous squads that are focused on working in
the best possible way. We operate in a tribes and squad model with each area focused on
a particular growth area. Each squad is small and cross-functional. We have big ambitions and have many interesting challenges ahead.
Summary
In this role you will design, build, and evolve the next generation of Modulr’s event-driven payments platform. You’ll work across the full engineering lifecycle—from shaping technical approaches to delivering production-grade software—within a squad that values ownership, excellence, and continuous improvement.

Specific duties 

Engineering & Architecture
•Design and develop backend services using Java (17+) or similar OO languages.
•Build and evolve microservices and distributed, event-driven components in a cloud-native environment.
•Contribute to architectural patterns that support throughput, resilience, reliability, and observability.
•Design clean, well-documented RESTful APIs and service contracts.
•Work with relational data stores, especially PostgreSQL, and contribute to data modelling.
Distributed Systems & Reliability
•Engineer solutions for concurrency, idempotency, fault tolerance, retries, and high availability.
•Improve system performance, reduce latency, and identify bottlenecks across services.
•Build systems with strong observability—logs, metrics, tracing—ensuring issues can be diagnosed quickly.

Quality & Testing
•Develop comprehensive automated tests using frameworks such as JUnit, Mockito, Cucumber.
•Participate in design and code reviews, helping raise engineering standards across the team.
•Advocate for code quality, maintainability, and long-term technical health.
DevOps, Cloud & Tooling
•Use and improve deployment pipelines and operational tooling (Docker, Kubernetes, CI/CD, AWS services).
•Contribute to internal frameworks, shared libraries, and engineering best practices.
•Help shape the evolution of our platform toward a more flexible, modern architecture.
Collaboration & Delivery
•Work in an agile environment, contributing to planning, design discussions, and iterative delivery.
•Collaborate across squads to shape technical solutions that span multiple systems.
•Document best practices, reference architectures, and design approaches others can rely on.

About you
You’re an engineer who thrives in a fast-paced, high-growth environment and enjoys solving complex, system-level problems. You bring:
•Expertise in Java or another OO language with willingness to work in Java.
•Strong understanding of OOP, design patterns, and distributed systems fundamentals.
•Experience building and operating microservices in production.
•Ability to reason about concurrency, performance, and system behaviour under load.
•Clear, proactive communication and a collaborative, team-first mindset.
•Strong analytical and problem-solving skills supported by sound engineering judgement.
•Ability to manage complexity, balance competing priorities, and deliver high-quality work.
•A growth mindset—you enjoy learning, improving, and helping others grow.
•A self-starter attitude with a passion for ownership and continuous improvement.

ModInclusion
At Modulr, we are working hard to build a more positive diverse and inclusive culture that helps everyone to feel they belong and can truly bring their whole self to work. Not only is it the right thing to do for everyone in the Modulr team, it’s also the right thing to do for our business, the community we operate in and attracting future talent. As part of our approach, we actively welcome applications from candidates with diverse backgrounds.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

The Principal Software Engineer I is a high-impact technical leadership role responsible for architecting and developing innovative, high-performance software systems. You will bridge the gap between complex business requirements and scalable technical solutions, ensuring that our engineering output remains world class and strictly compliant with industry standards.

As a senior technical authority, you will shape the technical direction of the team, fostering an environment of excellence and continuous improvement by leveraging modern, AI-augmented development workflows and robust cloud-native architectures. 

Location: Pune (Hybrid)

Key Responsibilities

• System Architecture & Development: Design, build, and maintain large-scale production services, web applications, high-throughput data pipelines, and real-time streaming systems.

• Technical Leadership & Mentorship: Provide high-level support to engineering teams, coaching developers and conducting rigorous code reviews to ensure validity, performance, and adherence to security standards.

• AI-Augmented Development: Drive engineering efficiency by integrating and championing the use of AI tools such as GitHub Copilot, Cursor, or Claude. Use these technologies to optimize boilerplate generation, complex refactoring, and deep architectural debugging.

• Operational Excellence: Debug complex production issues across various services and multiple levels of the stack; assist in refining organizational engineering standards and tooling.

 • SDLC Oversight: Lead the full Software Development Life Cycle (SDLC), from initial research and documentation to final certification and deployment.

• Quality Assurance: Lead the testing process, including test review, analysis, and witnessing to ensure software is robust and compatible with diverse operating systems.

• Continuous Innovation: Stay at the forefront of technology by researching emerging trends and participating in professional workshops to keep the organization competitive.

Required Skills & Qualifications (Must Have)

• Core Languages: Proficiency in Golang is highly preferred. Strong expertise in Java or Python is required.

• Cloud Infrastructure: Strong background in cloud-native development and infrastructure management (specifically AWS, GCP, or Azure).

• Data Management: Extensive experience with both SQL (PostgreSQL, MySQL) and NoSQL (Cassandra, or MongoDB) databases.

• SDLC & DevOps: Mastery of the full Software Development Life Cycle, including CI/CD pipelines, automated testing, and agile methodologies.

• AI Productivity: Proven experience using AI-powered development tools (e.g., Cursor, GitHub Copilot, Claude) to accelerate coding, automate documentation, and improve code quality.

• Leadership: Experience mentoring team members and making high-level architectural decisions. 

Preferred Qualifications (Good to Have)

• Cybersecurity Expertise: Preference will be given to candidates with Cybersecurity domain knowledge, SIEM, vulnerability remediation etc.

• Containerization: Hands-on experience with Docker and orchestration platforms like Kubernetes.

• Streaming Technologies: Familiarity with event-driven architectures and streaming platforms like Kafka or RabbitMQ etc.

• Advanced Automation: Ability to evaluate and implement AI-driven "agentic" workflows to further automate routine engineering tasks.

About us

At Modulr, our vision is a world where all businesses are powered by embedded payments. Modulr enables businesses, from SMEs to Enterprise, initially across the UK and Europe to efficiently pay-in, collect and disburse funds instantly via a range of payment schemes, accounts, and card products.
We have created an industry-leading API platform with comprehensive online tools and access, to meet the demands of daily business payments. We have two routes to market. Our Core Business Payments product allows customers in any sector to connect to us and our expanding network of accounting and payroll platforms, including Sage, Xero, BrightPay and IRIS to automate payments. Our Vertical Solutions targets a growing range of industry verticals which directly connect their IT platforms to our APIs and webhooks. We solve complex payment problems for hundreds of clients in a range of industries, including Travel, Lending, Wage Advance, and Investment & Wealth.

We are deeply integrated into the payment eco-system. In the UK, we are direct participants of Faster Payments and Bacs. Modulr hold settlement accounts at the Bank of England. Our payment network connectivity includes CHAPS, Open Banking, SEPA, SWIFT and account issuance in multiple currencies. We are principal issuing members of Visa and Mastercard schemes across UK and Europe.

Our regulatory permissions and governance structure are the foundations of our business. We are regulated and supervised as an Authorised Electronic Money Institution (AEMI) in the UK by the Financial Conduct Authority and in the Netherlands by De Nederlandsche Bank.
Our founding team has a wealth of experience in the payments industry and growing successful businesses. Modulr is backed by the venture arms of payments giants PayPal and FIS, as well as growth investors Blenheim Chalcot, General Atlantic, Frog Capital and Highland Europe.
Modulr now has over 400 employees spread globally across offices in London, Edinburgh, Amsterdam, and Mumbai.

Modulr values
•Building the extraordinary; going that extra mile.
•Owning the opportunity; be passionate and proud of the time you invest.
•Move at pace; reach goals faster whilst supported on your career journey.
•Achieve it together, working collaboratively and being a Modulite.

The team
The Information Security team at Modulr is responsible for protecting the organisation’s systems, data and customers through a combination of technical controls, governance, assurance and incident response. The team works across cloud, network and corporate environments to ensure security is embedded into how technology is designed, built and operated.
This role reports to the Information Security Director and works closely with Platform Engineering, DevOps, Infrastructure and Product teams. Security operates as a business enabling function, providing practical guidance, deploying and managing controls, and supporting secure architectural decisions rather than acting as a separate silo.
You will collaborate regularly with engineering squads to integrate security into delivery pipelines, improve control effectiveness, and enhance detection and response capability. The team also partners with Risk, Compliance and Audit functions to ensure controls are measurable, defensible and aligned to regulatory expectations.
This role offers the opportunity to take ownership of key technical security controls and contribute directly to strengthening Modulr’s cloud and network security posture.

Summary
The Security Engineer plays a hands on role in implementing and managing security controls across cloud, network and infrastructure environments. The role supports continuous improvement of preventative and detective capabilities, ensuring controls are reliable, scalable and aligned to operational realities.
You will deploy, maintain and automate security controls where possible, working closely with DevOps and Platform teams to embed security into infrastructure and delivery workflows. The position requires practical technical depth, sound judgement, and the ability to balance risk reduction with engineering velocity and system usability.

Specific duties
•Own the design, implementation, and ongoing operation of information security controls across cloud, application, platform, and corporate environments.
•Treat security controls as internal platform capabilities, ensuring they are scalable, reliable, and easy for engineering teams to consume.
•Work closely with software engineering, platform, and data teams to embed security controls into systems, pipelines, and shared services.
•Design and promote secure by default patterns and guardrails to reduce risk without slowing delivery.
•Identify gaps, overlaps, and weaknesses in existing controls and lead engineering driven improvements.
•Actively participate in the security incident response process, supporting detection, investigation, containment, and remediation activities.
•Ensure security controls provide high quality detection, alerting, and forensic signals to support effective incident response.
•Use incident learnings to drive durable improvements in control design, coverage, and automation.
•Define and track meaningful technical measures of control effectiveness and detection quality.
•Apply automation, including AI and agent-based techniques where appropriate, to improve security engineering efficiency, detection, and response.
•Evaluate risks, failure modes, and abuse scenarios introduced by new security controls and automation before production use.
•Operate and integrate security tooling with logging, monitoring, and engineering platforms, prioritising signal quality and simplicity.
•Partner with governance and risk teams by providing technical input, evidence, and assurance, without owning policy or risk acceptance decisions.
•Contribute technical expertise to audits and regulatory engagements in a regulated fintech environment.

About you
•You are an experienced information security engineer with minimum 5 years strong hands-on experience designing, building, and operating security controls in modern cloud native environments including CNAPP and ZTNA services.
•You have owned security controls end to end, from design and implementation through to production operation and continuous improvement.
•You have worked closely with software engineering and platform teams and can influence technical decisions through credibility and pragmatism.
•You think in systems, favouring secure by default patterns and scalable solutions over bespoke or ticket driven security work.
•You have practical experience contributing to security incident response and understand how protection, detection, and response capabilities are engineered.
•You are comfortable making and defending technical trade-offs where security, reliability, and delivery pressures intersect.
•You are pragmatic, risk focused, and outcome driven.
•You can communicate complex security concepts clearly to both technical and non-technical audiences.
•You are comfortable operating in regulated environments and understand the importance of evidence, consistency, and operational discipline.

Nice to haves
•Experience in fintech or financial services environments.
•A background in software or platform engineering prior to specialising in security.
•Experience building or contributing to internal security platforms or shared services.
•Practical exposure to AI, ML, or agent-based techniques applied to security or adjacent engineering problems.
•Experience improving detection engineering, alert quality, or security automation at scale.
•Familiarity with audit or regulatory engagement from a technical contributor perspective.

ModInclusion
At Modulr, we are working hard to build a more positive diverse and inclusive culture that helps everyone to feel they belong and can truly bring their whole self to work. Not only is it the right thing to do for everyone in the Modulr team, it’s also the right thing to do for our business, the community we operate in and attracting future talent. As part of our approach, we actively welcome applications from candidates with diverse backgrounds.

Principal Embedded Software Engineer

Are you a seasoned Embedded Software Engineer with a passion for networking and a drive for technical excellence? Ethernovia is seeking a Principal Embedded Software Engineer to lead the development of our cutting-edge networking device software stack. This is an exciting opportunity to contribute to a world-class team, work with cutting-edge technology, and expand your technical expertise in a fast-growing company.

As a Principal Embedded Software Engineer, you will be a key player in designing, implementing, and testing the core software for Ethernovia's networking devices. Your work will directly impact the functionality and performance of our hardware, particularly in safety-critical automotive applications. We foster a culture of safety and best development practices, and we expect every team member to embrace this commitment.

What You'll Do:

• Lead the architecture, design, implementation, testing, and integration of Ethernovia's networking device software stack, including Embedded Firmware, kernel/user mode device drivers, stack extensions, debug, and test utilities.

• Develop firmware that configures, controls, and monitors communication devices, interacting with host systems via device drivers to expose hardware features. This may also involve developing standalone firmware libraries within device drivers.

• Design and implement device drivers that enable user applications, middleware, and operating systems to fully leverage our feature-rich hardware.

• Develop and implement automated unit and system tests to ensure robust and reliable software.

• Contribute to the development of firmware built from the ground up for safety-critical automotive applications, adhering to stringent functional safety standards.

• Actively participate in a culture of safety and best development practices, ensuring all work meets rigorous quality and compliance standards.

What You Bring:

Technical Qualifications:

• Education: Bachelor's or master's degree in computer science/software or a related field.

• Experience: Minimum 10+ years of relevant experience in embedded software development.

• Software Development Lifecycle: Strong understanding of the Software Development Lifecycle, including Architecture, Implementation, and Testing fundamentals.

• Programming Expertise: Proficient in C/C++ Programming Language. Experience in Python is a plus.

• Firmware Development: Extensive experience with Firmware, preferably for communication devices like Ethernet.

• Embedded Systems: Strong experience with Embedded firmware, particularly for communication devices like Ethernet.

• Integration & Testing: Proven experience with the integration and testing of firmware and low-level code.

• Hardware Interaction: Hands-on experience with hardware and embedded processors, preferably for communication devices.

• Code Optimization: Expertise in efficient code practices for code footprint and and performance.

Nice-to-Have Experience with:

• Simulation and emulation platforms.

• GNU or similar compiler and debugging suites.

• Embedded programming, preferably with communication devices and hardware buses like I2C, SPI, Ethernet, and USB.

• Building Automotive or other safety-critical systems using qualification methods/processes like MISRA, ASPICE, and ISO26262.

• Communication protocols like Ethernet MAC, PHY, Switching, TCP/IP, Security, Serdes, PCIe, NTB, and SR-IOV.

• Video processing standards and protocols.

• Code Version Control and Review tools/processes (e.g., Perforce/Git, Swarm).

• Mixed-Signal systems (Analog, Digital, Digital Signal Processing (DSP)).

• ARM family of processors or similar embedded processors.

• Bootloaders like uboot or similar.

Soft Skills:

• Self-Motivation: Highly self-motivated and capable of working effectively both independently and as part of a team.

• Communication: Excellent communication and documentation skills.

• Attention to Detail: Meticulous attention to detail in all aspects of work.

What You'll Get in Return:

• Technology Depth and Breadth Expansion: Opportunities for unparalleled technological growth that can't be found in larger organizations.

• Career Growth: Significant opportunities to grow your career as the company expands.

• Pre-IPO Stock Options: Become a part of our success with pre-IPO stock options.

• Cutting-Edge Technology: Work with the latest advancements in networking and embedded systems.

• World-Class Team: Collaborate with highly skilled and passionate professionals.

• Competitive Base Salary: Receive a compensation package that reflects your expertise and contributions.

• Flexible Hours: Enjoy flexibility in your work schedule

Principal Embedded Software Engineer

Are you a seasoned Embedded Software Engineer with a passion for networking and a drive for technical excellence? Ethernovia is seeking a Principal Embedded Software Engineer to lead the development of our cutting-edge networking device software stack. This is an exciting opportunity to contribute to a world-class team, work with cutting-edge technology, and expand your technical expertise in a fast-growing company.

As a Principal Embedded Software Engineer, you will be a key player in designing, implementing, and testing the core software for Ethernovia's networking devices. Your work will directly impact the functionality and performance of our hardware, particularly in safety-critical automotive applications. We foster a culture of safety and best development practices, and we expect every team member to embrace this commitment.

What You'll Do:

• Lead the architecture, design, implementation, testing, and integration of Ethernovia's networking device software stack, including Embedded Firmware, kernel/user mode device drivers, stack extensions, debug, and test utilities.

• Develop firmware that configures, controls, and monitors communication devices, interacting with host systems via device drivers to expose hardware features. This may also involve developing standalone firmware libraries within device drivers.

• Design and implement device drivers that enable user applications, middleware, and operating systems to fully leverage our feature-rich hardware.

• Develop and implement automated unit and system tests to ensure robust and reliable software.

• Contribute to the development of firmware built from the ground up for safety-critical automotive applications, adhering to stringent functional safety standards.

• Actively participate in a culture of safety and best development practices, ensuring all work meets rigorous quality and compliance standards.

What You Bring:

Technical Qualifications:

• Education: Bachelor's or master's degree in computer science/software or a related field.

• Experience: Minimum 10+ years of relevant experience in embedded software development.

• Software Development Lifecycle: Strong understanding of the Software Development Lifecycle, including Architecture, Implementation, and Testing fundamentals.

• Programming Expertise: Proficient in C/C++ Programming Language. Experience in Python is a plus.

• Firmware Development: Extensive experience with Firmware, preferably for communication devices like Ethernet.

• Embedded Systems: Strong experience with Embedded firmware, particularly for communication devices like Ethernet.

• Integration & Testing: Proven experience with the integration and testing of firmware and low-level code.

• Hardware Interaction: Hands-on experience with hardware and embedded processors, preferably for communication devices.

• Code Optimization: Expertise in efficient code practices for code footprint and and performance.

Nice-to-Have Experience with:

• Simulation and emulation platforms.

• GNU or similar compiler and debugging suites.

• Embedded programming, preferably with communication devices and hardware buses like I2C, SPI, Ethernet, and USB.

• Building Automotive or other safety-critical systems using qualification methods/processes like MISRA, ASPICE, and ISO26262.

• Communication protocols like Ethernet MAC, PHY, Switching, TCP/IP, Security, Serdes, PCIe, NTB, and SR-IOV.

• Video processing standards and protocols.

• Code Version Control and Review tools/processes (e.g., Perforce/Git, Swarm).

• Mixed-Signal systems (Analog, Digital, Digital Signal Processing (DSP)).

• ARM family of processors or similar embedded processors.

• Bootloaders like uboot or similar.

Soft Skills:

• Self-Motivation: Highly self-motivated and capable of working effectively both independently and as part of a team.

• Communication: Excellent communication and documentation skills.

• Attention to Detail: Meticulous attention to detail in all aspects of work.

What You'll Get in Return:

• Technology Depth and Breadth Expansion: Opportunities for unparalleled technological growth that can't be found in larger organizations.

• Career Growth: Significant opportunities to grow your career as the company expands.

• Pre-IPO Stock Options: Become a part of our success with pre-IPO stock options.

• Cutting-Edge Technology: Work with the latest advancements in networking and embedded systems.

• World-Class Team: Collaborate with highly skilled and passionate professionals.

• Competitive Base Salary: Receive a compensation package that reflects your expertise and contributions.

• Flexible Hours: Enjoy flexibility in your work schedule

Job Description

• Design, development, and integration of AUTOSAR Software Components for Automotive-ECUs.
• Design, development, and integration of Basic Software Modules such as Communication-Stacks (CAN, LIN, Ethernet), Diagnostic-Services, and Memory-Management.
• Design, development, and integration of Application Software Components based on AUTOSAR templates and interfaces.
• Developing Application Software using c/c++.
• Configuration and generation of AUTOSAR software architecture using AUTOSAR configuration tools (EB Tresos, Vector DaVinci, etc.).
• Implementation and verification of software modules according to AUTOSAR-Specifications, and Automotive Safety Standards (e.g., ASPICE, ISO 26262).
• Familiarity and experience with BSW, ECAL, MCAL.
• Collaboration with Cross-Functional teams including Hardware Engineers, Software Architects, and Functional-Safety Engineers to ensure seamless integration of AUTOSAR-Software into Vehicle-Platforms.
• Conduct software integration, testing, validation, and debugging using simulation tools, and in-vehicle testing.
• Optimize software performance, memory usage, and reliability through profiling, debugging, and code optimization techniques.
• Documentation of Requirements-Specification, Software-Designs, Software-Specifications, Test-Plans, and Test-Results according to company and industry standards.
• Stay updated with emerging AUTOSAR Trends, Tools, and Methodologies to drive continuous improvement, and innovation. 

Technical Qualifications

• Bachelors or Master’s degree in Computer Science/Software, or related field.
• Work Experience: Minimum 10 years of relevant experience for this position.
• Strong understanding of Software Development lifecycle including Architecture, Implementation and Testing fundamentals.
• Proficient in C/C++ Programming Language. Experience in Python is a plus.
• Experience in working with Firmware, preferably for communication devices like Ethernet.
• Experience in working with Embedded firmware, preferably for communication devices like Ethernet.
• Experience in integration and testing with firmware and low-level code.
• Expertise in efficient code practices for code footprint and performance.
• Preferable Hands-on Experience with Hardware and embedded processors, preferably for communication devices.

Nice to Have Experience with

• Model-Based Development.
• Testing using Hardware-in-Loop (HIL).
• Experience with Automotive OSs like QNX.
• Experience with simulation and emulation platforms.
• GNU or similar compiler, debugging suite.
• Embedded programming, preferably with communication devices and hardware buses like I2C, SPI, Ethernet, USB.
• Building Automotive or other safety critical systems using qualification methods/processes like MISRA, ASPICE and ISO26262.
• Communication protocols like Ethernet MAC, PHY, Switching, TCP/IP, Security, Serdes, PCIe, NTB, and SR-IOV.
• Video processing standards and protocols
• Code Version Control and Review tools/processes like Perforce/Git, Swarm.

• Mixed Signal systems - Analog, Digital, Digital Signal Processing (DSP).
• ARM family of processors or similar embedded processors.
• Bootloaders like uboot or similar. 

Soft Skills

• Self-motivated and able to work effectively both independently and in a team.
• Excellent communication/documentation skills.
• Attention to details. 

What you’ll get in return:

• Technology depth and breadth expansion that can’t be found in a large company
• Opportunity to grow your career as the company grows
• Pre IPO stock options
• Cutting edge technology
• World class team
• Competitive base salary
• Flexible hours

Note:- candidate with 15-21 days of notice period or immediate joiners  will be given preference

HG Insights is the pioneer of Revenue Growth Intelligence. For more than a decade, we have delivered comprehensive, AI-driven datasets on B2B buyers, technology adoption, IT spend, and buyer intent, sourced from billions of data points. Today, we are a trusted partner to Fortune 500 technology companies, hyperscalers, and innovative B2B vendors seeking precise go-to-market analytics and decision-making.

Through an evolving suite of AI agents that incorporate first-party data and buyer signals, HG Insights enables AI-powered GTM automation across sales, marketing, RevOps, and data analytics teams, modernizing GTM execution from strategy through activation.

Product Group: TrustRadius is a B2B technology decisioning platform that helps buyers make confident software purchase decisions and enables vendors to activate high‑intent, in‑market buyers through rich review content and intent data signals. As part of HG Insights, TrustRadius powers data‑driven go‑to‑market strategies for leading B2B technology brands worldwide.

Job Title: Principal Engineer

Role Overview

We are looking for a Principal Engineer – Engineering to provide technical thought leadership for our vendor‑side data platform and pipelines. This is a senior individual contributor role (IC) with Principal Engineer scope, responsible for the architecture, evolution, and reliability of our microservices and data pipelines that power vendor lead generation, intent resolution.

You will set the long‑term technical direction, mentor senior/staff engineers, and stay hands‑on in critical code paths across NestJS/Node.js, TypeScript, Python data pipelines, and event‑driven services.

Key Responsibilities

• Own the end‑to‑end architecture for data ingestion and processing pipelines, from external data sources through Airflow‑orchestrated Python workflows into storage on S3 and downstream services.
• Design and evolve microservices built with NestJS/Node.js and TypeScript, exposing APIs for lead generation, vendor management, and intent resolution at scale.
• Define and drive database architectures across PostgreSQL and MongoDB and Elastic, including complex data models for B2B lead scoring, vendor relationships, and customer analytics.
• Provide technical thought leadership to create and grow an agile, high‑performing engineering team culture around CI/CD, trunk‑based development, testing, observability, and rapid iteration.
• Lead the adoption of real‑world AI/ML in engineering workflows (code generation, code review, test generation, incident analysis) to materially improve development speed and quality.
• Partner with product and marketing to design data and service architectures that maximize content/intent data pipelines that make TrustRadius a top‑ranked destination for vendors and buyers.
• Implement and evolve secure authentication and authorization patterns using Auth0, OAuth2, and JWT for a multi‑tenant SaaS platform serving enterprise customers.
• Integrate and scale third‑party services such as LinkedIn APIs, intent enrichment, Salesforce CRM, and payment processors, with robust resilience, observability, and fault‑tolerant retry strategies.
• Architect and optimize event‑driven systems on Google Cloud Pub/Sub for real‑time data processing, enrichment, and inter‑service communication.
• Drive performance and cost optimization of APIs and data pipelines, including caching strategies, query tuning, horizontal scaling, and right‑sizing of cloud resources.
• Champion best practices for data quality, governance, and monitoring across vendor data feeds and internal platforms to ensure accurate, trusted signals for downstream analytics and GTM activation.
• Mentor Engineers, providing guidance on system design, trade‑offs, and long‑term roadmap, while influencing technical decisions.

Core Technical Skills

• Expert‑level experience designing and building large‑scale backend systems and microservices with NestJS/Node.js and TypeScript.
• Strong hands‑on experience with Python data ingestion and ETL/ELT pipelines, ideally orchestrated using Apache Airflow and cloud object storage such as S3.
• Deep understanding of relational and NoSQL database design, specifically PostgreSQL and MongoDB, including schema design, indexing, and performance tuning.
• Proven experience with secure authentication/authorization in SaaS environments using Auth0, OAuth2, and JWT.
• Strong background integrating external APIs and SaaS systems.
• Hands‑on experience with event‑driven architectures and messaging systems.
• Solid understanding of cloud infrastructure (preferably GCP), containerization, CI/CD pipelines, and production observability (logging, metrics, tracing).

Nice‑to‑Have Skills

• Experience with MCP architectures and tools development.
• Practical knowledge of machine learning techniques applied to data pipelines.
• Experience in content/intent‑data‑driven products, especially in B2B SaaS or marketplaces.
• Familiarity with data platforms in the B2B buyer intent or intent data provider space.

Business Outcomes and Impact

In this role, you will be accountable for:

• Building and sustaining an agile, high‑impact engineering culture through technical thought leadership, standards, and mentorship.
• Demonstrable improvements in engineering efficiency and quality through AI‑assisted tooling, automation, and better platform abstractions.
• A continuously evolving, scalable data and service architecture that strengthens TrustRadius’s position as the number‑one destination for SEO and GEO‑driven software buying traffic, and as a key provider of high‑quality intent data to vendors.

•Are you curious, excited by experimentation, and always looking for a better way of doing things?
•Do you want to keep learning and developing whilst getting hands-on experience working in the payments space?
•Do you want to have the opportunity to apply technology to transform the way we operate at scale.

If so, we would love to hear from you!
We are looking to hire ambitious, and value-adding talent to join Modulr, the fastest growing payments business in the UK and Europe. The Principal Engineer is a hands-on individual contributor role with broad technical influence across multiple teams within our Engineering, CTO team. In this role you will work in a cross-functional team who are asked to solve a problem, rather than be handed a task to do. This is an excellent opportunity to work in a high-growth environment with a fast-paced and collaborative culture where you will have great opportunities to work on challenging problems.

About Us
At Modulr our mission is to move money efficiently to power business productivity. We are building a new digital payments service to make money flow more efficiently through businesses and the economy. This is a new type of payments account that is built for businesses that need faster, easier and more reliable ways to move money.
Our flexible platform and innovative approach allows our customers to utilise our payments account instead of a traditional bank account. Our accounts come with a sort code and account number, access to payment systems (eg Faster Payments and Visa) and everything our customers need from a payments account. They can instantly open as many accounts as they need, automate how they make and receive payments as well as the reconciliation processes these create. All in real time, 24/7 through their own systems utilising our API that integrates into any platform.
Our founding team has a wealth of experience in the payments industry and growing successful businesses. Modulr is backed by payments giants PayPal Ventures and FIS Ventures, as well as startup and scale up specialists Blenheim Chalcot, General Atlantic, Frog and Highland Europe which enables us to leverage their resources and expertise to drive our growth initiatives. These partnerships provide us with the necessary provisions to propel our business to new heights.

Modulr values
•Building the extraordinary and going that extra mile
•Owning the opportunity, be passionate and proud of the time you invest
•Move at pace, reach your goals faster with us supporting you each step of the way
•Achieve it together, working as a team and being a Modulite

The Tech Team
At Modulr we are focused on building autonomous squads that are focused on working in the best possible way. We operate in a tribes and squad model with each area focused on a particular growth area. Each squad is small and cross-functional. We have big ambitions and have many interesting challenges ahead. Our strategy is to provide our customers with seamless connectivity into payment schemes both domestically and overseas no matter where they're based.

About the role
•Lead in Design, analysis and documentation of products, systems or subsystems, setting the technical direction for key parts of the platform.
•Provide hands-on technical leadership on the most complex areas of the platform, pairing with teams and unblocking hard engineering problems and raising the quality bar.
•Take principal ownership of core framework components such as the workflow engine, rules/decision engine and event-driven orchestration layer, defining patterns and abstractions that other teams reuse.
•Design and evolve event-driven architectures that support real-time decisioning, auditability and replay across multiple domains.
•Lead the design and implementation of agentic AI–driven workflows, orchestrating services and AI components to assist human operators while keeping decisions explainable and controlled.
•Define and own domain models, service boundaries and integration contracts, using techniques like domain-driven design and hexagonal architecture to keep systems loosely coupled and vendor-agnostic.
•Drive engineering standards, tooling, and processes to the next level – from code quality and testing through to observability, reliability and security.
•Develop and execute test procedures for software.
•Proactively identify issues, bottlenecks, gaps, or other areas of concerns or opportunities and work to either directly affect change, or advocate for that change.
•Work in an agile environment - Scrum or Kanban.
•Document best practices, guides, systems design, reference architectures and implementations.
•Participate in design and code reviews.
•Contribute to the evolution of our architecture to make it more flexible and easier to use.
•Be an ambassador for technical excellence both within Modulr and externally by representing Modulr in events and conferences.

About You
•Able to clearly communicate architectural goals and standards.
•Ability to deep dive into technical problems and customer led challenges
•Strong analytical thinking, problem-solving, appropriate judgement and decision-making skill
•Commitment to collaboration and teamwork
•Proven ability to effectively manage timelines and deliverables
•You thrives in complex, rapidly changing environments and can make sound judgements amid ambiguity
•You are a self-starter, motivated team player who thrives in a fast-paced environment
•You enjoy shaping architecture as well as code – guiding service boundaries, contracts, writing complex frameworks and event models that other teams build on.
•You have a strong track record of building high-scale, reliable systems, and you are comfortable designing for resilience, observability and graceful degradation from day one.
•You are comfortable in building event-driven and data-driven platforms.
•You are curious/passionate about AI and automation and think carefully about where agents/LLMs add real value while staying within risk and control boundaries.

Technical knowledge required
•Expert in Java with deep experience building and operating distributed microservices in a cloud environment, at scale
•Expert in OOPs and design patterns.
•Expert in REST API design.
•Strong practical knowledge of event-driven architectures.
•Open-Source technologies, such as Spring and Hibernate.
•Strong background in observability and reliability
•Open-source RDBMS technologies such as PostgreSQL
•Experience testing across different levels of applications and advocate for best practice.

Nice to have
o Experience with compliance / risk / FinCrime domains
o Hands-on experience designing or integrating workflow engines.
o Experience with rules / decision engines and a clear view on how to manage rule lifecycle, versioning and testing at scale.
o Experience/understanding of agentic / AI-driven systems and how to integrate them into backend workflows with appropriate guardrails, monitoring and fallbacks.
o Exposure to payment schemes/flows, regulatory frameworks, SME/partner onboarding; experience reducing false positives via rule tuning/enrichment; familiarity with schema governance and data‑lineage tooling is a strong plus.

ModInclusion
We believe that by seeing Modulr, and the world, from all sorts of angles, we can make life better for all. We want you to know that the things that make you, you — like your identity, age, ability, and background — are things that we will always celebrate and support with open arms. As such, we are keen to maximise the diversity of our workforce and actively encourage applications from anyone and everyone.

• 9+ years of experience in product development field
• 2+ years of recent experience in building products on cloud
• Strong understanding of data structures, algorithms, and designing for performance
• Strong knowledge in OOPS with .Net, C# or relevant technologies with SQL Server or any RDBMS
• For Fullstack roles, hands-on experience in development with either Angular, VueJS or React
• Experience with Microservices Architecture
• Hands-on experience in building products for Unix systems in addition to Windows
  
• Working knowledge of CI/CD pipelines and AWS/Azure cloud services
• Knowledge of asynchronous programming and WebAPI development is required
• Knowledge and awareness of cloud/ application security is a must (OWASP, PII, GDPR)
• Extensive experience in mentoring junior engineers to success
• Strong logical, analytics and problem-solving skills
• Must be able to work effectively across team boundaries
• Attention to details
• Strong oral and written communication skills

• Graduate/Master's degree in Computer Science, Engineering, or a related discipline
• Strong logical, analytics and problem-solving skills
• Must be able to work effectively across team boundaries
• Attention to details
• Ability to work independently
  
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