Goldman Sachs on cord

Goldman Sachs

Global Banking Markets - Software Engineer - Equities Data Platform Engineering

External position
London, UK
Hiring internally for Goldman Sachs?
Finance
We believe progress is everyone’s business.
Posted
a week ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Back End
Experience level: Senior, Lead
Core skills considered: Java, Python, Big Data, Kafka
Other skills considered: Flink, Cloud Computing, Data Pipelines, Data Architecture

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: On-site
Visa sponsorship: Not available

Job Description

As a senior contributor, you will be one of the senior engineers leading the platform, owning the architecture and delivery of a core system within the Equities Data Platform and driving it through the full product lifecycle - from requirements gathering and design, through implementation, testing, deployment and support. This role sits at the heart of that transformation - reimagining our stack to be cloud-native and AI-first, giving you the chance to help re-architect our data infrastructure from the ground up and embed AI-first thinking into everything we build. You'll take on significant leadership responsibilities, working alongside our other senior engineers to mentor engineers at all levels and help shape the technical direction of the team.


Responsibilities

  • Act as one of the technical leads on the ground-up rebuild of our Electronic Trading data infrastructure into a cloud-native, AI-first platform.
  • Design, build, and maintain a high-performance, high-availability, high-capacity platform that processes and persists massive volumes of business-critical data in near real time, distributing it seamlessly to downstream Electronic Trading applications.
  • Develop highly reliable, industrial-strength data ingestion pipelines to consume large volumes of data emitted by trading and market data systems.
  • Design distributed computation infrastructure capable of running parallelized queries across huge datasets, at speed and at scale.
  • Design and build a cutting-edge, AI-powered UI/agent framework that delivers intelligent analytics and insights over our data - empowering users to interrogate and unlock value from large-scale datasets.
  • Partner closely with business stakeholders, client applications, and Regulatory & Compliance teams to shape new feature requests, influence roadmap priorities, and clearly communicate existing capabilities.
  • Provide technical direction and formal mentorship to engineers at all levels, working with fellow senior engineers to raise the bar on engineering practices across the team.

Required Qualifications & Skill-Sets

  • Around 5-10 years of professional experience with experience building high-performance, low-latency systems (sub-second) - at Vice President level.
  • Proven ability to drive complex, industrial-scale development independently, while also leading and developing engineers across the team.
  • Thorough knowledge of Java programming concepts (and Python a plus).
  • Strong grounding in object-oriented programming, data structures, algorithms, and design patterns.
  • Experience building highly available, low-latency systems with a small footprint - including JVM internals, performance optimization, concurrency, and tuning for GC-free, real-time operation.
  • Experience with distributed stream-processing systems handling large-scale (big data) volumes in near real time.
  • Hands-on exposure to technologies such as HDFS/S3, Snowflake, SingleStore, Kafka (or similar streaming systems), Flink (or similar distributed processing frameworks), and Java/Scala (Python optional).
  • Excellent communication skills, with the ability to collaborate effectively across teams while independently driving initiatives forward, and the credibility to influence senior stakeholders and technical peers.
  • Strong analytical and problem-solving mindset, with a passion for tackling hard technical challenges.
  • Demonstrable experience mentoring engineers and helping set technical standards within a team.
Global Banking Markets - Software Engineer - Equities Data Platform Engineering at Goldman Sachs
Position posted a week ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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