Ingeniero DevSecOps Sénior

• 23 days of Annual Leave plus the 24th and 31st of December as discretionary days!
• Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances).
• `Retribución Flexible´ Program: (Meals, Kinder Garden, Transport, online English lessons, Health Care Plan...)
• Free access to several training platforms
• Professional stability and career plans
• UST also, compensates referrals from which you could benefit when you refer professionals.
• The option to pick between 12 or 14 payments along the year.
• Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime...)
• UST Club Platform discounts and gym Access discounts

If you would like to know more, don't hesitate to apply and we'll get in touch to fill you in detail. We are waiting for you!

We are looking for the very Top Talent...and we would be delighted if you were to join our team!

More in details, UST is a multinational company based in North America, certified as a Top Employer company with over 35.000 employees all over the world and presence in more than 30 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.

Drop into a fast-paced, AI-first, cross-functional team and contribute by building, ideating and experimenting.

We believe first-class management of a developer toolchain will be automated through AI, and we intend to be the team that proves it. From that foundation we build the next generation of products that lift the productivity, security and quality of every team in the organisation.

Stated plainly: we are building the best Developer Platform Product team in the industry, and we are hiring the people who will do it.

Build.
Working software on a real estate, in front of real engineers, fast. Prototypes that earn their place and then get hardened, not documents that describe what we might do.

Put agents to work on the toolchain.
Remediation at fleet scale, pipeline upgrades across thousands of repositories and increasing at new pace, scanner triage, credential rotation, the slow manual work that should not be manual. If an agent can do it, build the agent.

Design how autonomous things are allowed to act here.
Identity, scoping, blast radius, audit trail, stop button, prompt injection. An agent holding a token on a regulated estate is a security design problem, and in this team the person building it is the person who solves it.

Create new products on our own platform.
Self-serve dashboards, MCP servers, skills, developer tooling. Chosen on what customers actually do rather than on what we assume they want.

Ship defaults, not guidance.
We shift left by making the safe, correct path the default in the pipeline people already use. We do not ask developers to do more, earlier.

Experiment with discipline.
Trials are capped and time-boxed, with a decide-or-kill date and a written verdict either way. The discipline is in the killing, not the trialling.

Work test-first, including on the things people usually do not test.
Pipelines, infrastructure, and agents whose output is different every time. Ephemeral environments and contract tests over the golden path, not a plan-diff and a hopeful merge.

Follow continuous delivery practices across all code, platforms and products.

Make the estate observable.
Monitoring, telemetry, logging, tracing and ing across our platform and our pipelines. This is an open area for us today and one of the clearest places to make a mark early, because nothing else here works without it: agents cannot be trusted with work we cannot see, and delivery metrics we cannot measure are opinions.

Talk to customers yourself.
Sit with delivery teams, watch what actually happens, and bring findings back that change the roadmap.

Help run what we own.
Everyone here can keep the platform running, and we operate our own platform the way we ask our customers to operate theirs: zero-downtime, defined in code, tested before it ships.

Early on, you are shipping. Something small, real and in production, plus a clear read on where the manual effort in this estate actually goes.

By six months, an agentic flow of your design is doing work that a person used to do, with numbers behind it: what it fixed, how often it was wrong, what it cost. And a second idea in trial.

Our own four delivery measures are known rather than guessed at, with a stated target for each and at least one of them moving.

By twelve months, at least two other engineers can run, debug and extend what you built without you in the path, and you are onto the next thing.

Nothing we operate rests on one person, and that rule applies to your own work from the day you build it.

• A set number of years in anything. The essentials above are about practice you can demonstrate, not about how long you have been doing it.
• A machine learning research background. There is no model training in this role.
• Prior financial services experience.
• Depth in every tool we run. We run a lot of it, and nobody arrives knowing all of it.