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Our client, an exciting startup in the financial services industry, are hiring a Senior Software Engineer to join the team in the New York/New Jersey area. The successful candidate will own the software development lifecycle from day one, designing and building systems that support complex private-market operations.


Responsibilities

  • Design, develop and support production-grade systems using TypeScript, Node.js, React and Python.

  • Own critical components end to end, while maintaining a holistic understanding of the broader system architecture.

  • Navigate ambiguous problem spaces and help define solutions where requirements are evolving or incomplete.

  • Partner closely with product, operations and client-facing teams to deliver pragmatic, high-impact solutions.

  • Clearly articulate technical trade-offs, priorities and delivery timelines to both technical and non-technical stakeholders

  • Establish and promote best practices for planning, execution and long-term system maintainability.

  • Drive a collaborative, empathetic culture focused on ownership, accountability and continuous improvement.



Skillset

  • At least 6 years of hands-on software engineering experience in production environments.

  • Strong full-stack expertise across TypeScript, Node.js, React and Python.

  • Demonstrated ability to operate effectively in ambiguous, fast-evolving problem spaces.

  • A track record of overcoming challenges, learning from them, and reflecting on how to collaborate more effectively.

  • Clear, proactive communicator who values planning, prioritization and cross-functional collaboration.

  • Comfortable building from ground zero, with a thoughtful approach to onboarding and early impact.



Benefits

  • Salary: $180k - $220k DOE.

  • Comprehensive benefits package.

Our client, an IT company that supports startup operations, is hiring a Full Stack Engineer to join their New York team. The successful candidate will transform complex, real-world workflows into clean, reliable software and take full ownership of features from discovery and scoping through implementation and delivery.


Responsibilities

  • Develop and take full ownership of features across the frontend, backend and system integrations.

  • Leverage AI in practical ways to accelerate internal workflows and enhance the user experience.

  • Design and automate sophisticated legal and financial processes for reliability and efficiency.

  • Build and maintain integrations with payroll, accounting, e-signature and other third-party platforms.

  • Enhance internal tools, including client communications, dashboards and task management systems.

  • Continuously improve code clarity, observability and security across the entire platform.



Skillset

  • Strong full-stack development experience, with ownership across frontend, backend and integrations.

  • Proven track record of shipping full-stack features, from UI tweaks to backend and DevOps tasks.

  • Proficient in Frontend tools such as TypeScript and React.

  • Experienced with APIs & Data Handling.

  • Solid Backend skills with expertise in Node.js, Prisma, PostgreSQL, Redis.

  • Familiarity with Infrastructure & Deployment (Render, AWS).

  • Comfortable leveraging AI tools (e.g. Cursor) to streamline workflows.

  • Able to move quickly and iteratively without waiting for fully polished designs or detailed specs.



Benefits

  • Salary: $160K–$210K DOE.

  • Equity.

  • Medical, dental and vision insurance.

Our client, an emerging AI startup within the digital media sector, is hiring a hands-on Founding Engineer to join their New York team. The successful candidate will take full ownership of the user experience and product journey, delivering a product that is polished, performant and intuitive.


Responsibilities

  • Design, build and refine their core video-based product with a focus on polish and usability.

  • Own end-to-end UX quality, including animations, performance, interactions and visual detail.

  • Collaborate across the full codebase, contributing beyond the frontend as needed.

  • Work directly with users to gather feedback and iterate quickly on features.

  • Help shape early engineering standards, best practices and overall product direction.
     


Skillset

  • At least 2 years of experience as a software engineer in a startup environment.

  • Strong TypeScript and frontend engineering fundamentals.

  • Comfortable ramping quickly in new and evolving codebases.

  • High sense of ownership with a proactive, self-starting mindset.

  • Strong eye for UX and product quality, with attention to detail.

  • Enjoys balancing focused execution with creative, exploratory feature development.



Benefits

  • Salary: $150k–$250k

  • Equity.

Our client, a growing Healthtech organization, is hiring a Software Engineer to join their team in New York. The successful candidate will play a key role in advancing their flagship platform and building new product capabilities that strengthen patient access and make pharmaceutical workflows more efficient.


Responsibilities

  • Develop and enhance key components of their transaction processor, web application and API services.

  • Participate in all stages of the software development lifecycle, from design and implementation to testing and deployment.

  • Monitor and improve cloud infrastructure to ensure high performance, reliability and scalability.

  • Work closely with team members to design clean, maintainable and high-performing solutions

  • Take ownership of projects, demonstrating strong organization, time management and follow-through.



Skillset

  • Bachelor’s degree in computer science, engineering or similar.

  • 5+ years of professional software development experience.

  • Strong proficiency in Java, TypeScript, and SQL (PostgreSQL).

  • Hands-on experience with Spring (Boot or Framework) and React.

  • Deep understanding of RESTful API design and integration.

  • Experience with unit and integration testing frameworks (e.g., JUnit, Mocha).

  • Ability to perform basic data analysis (SQL or Python) is a plus.

  • Comfortable using the Linux command line.

  • Practical experience deploying to Microsoft Azure or another major cloud provider.

  • Background in pharmaceutical or healthcare technology is a bonus.



Benefits

  • Salary: $120,000 - $150,000 DOE

  • Comprehensive benefits package.

Senior L3 SOC Analyst
Duration: 6-Month Rolling Contract
Location: Dublin, Hybrid – 2/3 days onsite per week
Day Rate: €400-530 p/d


Our client, a leading financial services client in Dublin, is hiring a highly skilled Level 3 (L3) SOC Analyst for a critical, long-term contract engagement. This is an exceptional opportunity for a Microsoft Security expert to take ownership of the client's Microsoft Sentinel environment and drive advanced Threat Hunting and Incident Response capabilities.

As the L3 SOC Analyst, you will be the Subject Matter Expert (SME) and the final escalation point for all security incidents. This role is not just about monitoring; it's about architecting, optimising and leading. You will be instrumental in maturing the client's Security Operations Center (SOC) function, leveraging the full power of the Microsoft Security suite.


Responsibilities

  • Act as the primary technical lead for the MS Sentinel platform, focusing on advanced configuration, optimisation and maintenance.

  • Proactively hunt for sophisticated threats across the environment using Kusto Query Language (KQL) and custom analytics rules.

  • Lead complex security incident investigations, providing deep technical analysis and coordinating remediation efforts with internal teams.

  • Develop and implement Security Orchestration, Automation and Response (SOAR) playbooks within Sentinel using Azure Logic Apps or Power Automate to enhance efficiency.

  • Provide expert guidance and mentorship to L1/L2 analysts, serving as the definitive escalation point for challenging security events.

  • Generate high-quality, actionable reports on security posture, incident trends and threat intelligence.



Skillset

  • 5+ years’ experience in a SOC environment, with significant L3 / Senior Analyst responsibility.

  • Advanced experience with Microsoft Sentinel, including deployment, tuning and optimisation.

  • Strong understanding of SIEM and SOAR concepts.

  • Expert-level proficiency in Kusto Query Language (KQL).

  • Hands-on experience with Microsoft Defender XDR, covering Endpoint, Identity, Cloud Apps and Office 365.

  • Certifications in SC-200 – Microsoft Security Operations Analyst, AZ-500, CISSP, GIAC are highly desirable.



If you are interested in learning more, please share an updated CV and a member of the Alldus team will be in touch.


Please Note: Visa sponsorship not provided.

Our client, an AI-driven organization in the Fintech industry, are hiring a Staff Machine Learning Engineer to join the team in Colorado. The successful candidate will will focus on building end-to-end generative AI products leveraging your deep expertise in large language models, fine-tuning techniques and reinforcement learning.


Responsibilities

  • Design and build multi-agent systems that automate tasks and streamline workflows, delivering measurable operational impact.

  • Develop AI co-pilots for advisors and other user personas, supporting workflows across prospecting, conversion, onboarding and client servicing.

  • Create purpose-built, low-latency models for complex, multi-turn financial services interactions.

  • Enable AI-driven optimisation and navigation of legacy platforms using computer-use and automation models.

  • Design, fine-tune, and deploy open-source and proprietary LLMs for use cases including Q&A, summarisation, reasoning and planning.

  • Build advanced Retrieval-Augmented Generation (RAG) pipelines, incorporating query rewriting, embedding fine-tuning, hybrid search, re-ranking and knowledge graphs.

  • Apply reinforcement learning techniques, including RL fine-tuning methods such as PPO, DPO, and GRPO, to continuously improve model performance.

  • Deploy models to production, ensuring high performance, reliability, scalability and low latency.



Skillset

  • At least 5 years of experience in applied AI/ML engineering.

  • Demonstrated success delivering production-grade generative AI products with large language models at their core.

  • Hands-on experience with LLM fine-tuning techniques (e.g. LoRA), inference frameworks (e.g. vLLM) and advanced Retrieval-Augmented Generation (RAG) architectures.

  • Strong practical expertise in reinforcement learning fine-tuning methods and supporting tooling.

  • Previous experience working in an early-stage startup is a plus.



Benefits

  • Salary: $170k - $220k DOE