ManaTEA

We're looking for an experienced z/OS Developer with hands-on knowledge of FIPS 140-3 cryptographic standards to join our team on a full-time remote basis.

What you'll do:

Develop, maintain, and optimize applications on IBM z/OS mainframe environments

Implement and validate cryptographic modules in compliance with FIPS 140-3 requirements

Collaborate with security and architecture teams to ensure regulatory compliance

Troubleshoot and resolve mainframe-related issues in production and development environments

What we're looking for:

Proven experience in z/OS development (COBOL, PL/I, Assembler, or Java on z/OS)

Hands-on experience with FIPS 140-3 certification and cryptographic implementation

Strong understanding of mainframe security architecture

Experience in banking, finance, or government sectors is a plus

Ability to work independently in a remote environment

What we offer:

Competitive salary

Fully remote, full-time position

Work on high-impact, mission-critical systems

Collaborative and technically strong team

We're looking for a backend engineer who's passionate about building scalable, composable systems that power the next generation of the web.

About the role

You'll be working on backend infrastructure that's built to scale — designing and implementing APIs, services, and cloud architecture that's clean, composable, and production-ready. We value engineers who bring fresh ideas and aren't afraid to introduce new technologies when they make sense.

What we're looking for

Strong backend engineering experience (Next.js preferred)

Solid AWS expertise — particularly CloudFront and related services

Experience designing scalable, composable backend architectures

A passion for keeping up with modern backend tooling and bringing new ideas to the table

Comfortable working in a fast-moving environment where you have real ownership

Nice to have

Experience with edge computing / CDN architecture

Familiarity with modern web infrastructure patterns

What makes you a great fit

You love building things that are both technically sound and built to last. You don't wait to be told what tech to use — you research, propose, and advocate for the right tools. You care about composability and scalability from day one.

As an ML Engineer, you'll work at the intersection of machine learning systems, knowledge representation, and reasoning infrastructure — building the foundational intelligence layer that powers our platform. This isn't about wrapping APIs or fine-tuning models in isolation. You'll be solving hard problems at the frontier of applied ML.

What you'll work on:

Designing ML pipelines that transform unstructured, proprietary information into semantically rich, queryable representations

Building and integrating models that enable probabilistic reasoning, multi-hop inference, and context-aware decision support

Developing agentic workflows where AI assists human judgment through explainable outputs, uncertainty quantification, and iterative feedback loops

Defining evaluation metrics and testing frameworks for high-stakes, information-led environments

Contributing to architectural decisions around ML infrastructure and model serving

Collaborating closely with backend engineers, product, and domain experts

What We're Looking For

Strong foundations in machine learning — NLP, information extraction, representation learning

Systems thinking mindset, not just model performance in isolation

Comfortable working in ambiguity and defining problems from first principles

Intellectually honest — willing to challenge assumptions, including our own

Pragmatic: ships working systems, iterates on real feedback, avoids over-engineering

Cares about reproducibility, clarity, and long-term maintainability

What We Offer

Work on genuinely hard, foundational problems at the intersection of ML and knowledge systems

Founder-led, deeply technical environment — low-ego, high-ownership

Fast feedback loops, strong opinions, high bar for clarity

Flexible/hybrid setup centred around London

Early-stage equity

Our Values

First-principles thinking. Human judgment matters. Intellectual honesty. Trust by default. Compounding advantage. Build infrastructure, not wrappers.