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Anaplan

<div><div><p>At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.</p>
<p>
What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture.</p>
<p>
Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.</p>
<p>
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating<i> </i>our wins &ndash; big and small.</p>
<p>
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together!</p></div><p>
You will join the Predictive Intelligence engineering team within Anaplan, building the backend services that power the Syrup platform and Anaplan's forecasting and predictive solutions. The team owns the production services behind forecasting, scoring, and data processing, along with the pipelines and infrastructure that bring ML and AI capabilities to enterprise customers. As a senior backend engineer, you will design and build core services across this stack &mdash; writing clean, performant, well-tested Python that the rest of the team can build on. This role reports to the Director of Engineering for Predictive Intelligence and works closely with backend engineers, data scientists, and platform partners.</p>
<p><b>
Your Impact</b></p>
<ul>
<li>Design and implement scalable, fault-tolerant backend services and APIs as a core contributor across the Predictive Intelligence stack.</li>
<li>Build and evolve the forecasting, scoring, and data processing services that deliver predictive insights, with a focus on performance, scalability, and cost efficiency.</li>
<li>Write clean, well-tested, maintainable Python and establish patterns that make the codebase easier for the whole team to extend, operate, and reason about.</li>
<li>Partner with data scientists and ML engineers to integrate models into production services and build the data and inference pipelines around them.</li>
<li>Take part in on-call rotations and own the operational health of high-availability production services, including incident response and post-incident improvements.</li>
<li>Lead design reviews and code reviews, raising the quality bar across the team and mentoring mid-level and junior engineers.</li>
<li>Identify and drive cross-cutting platform improvements that benefit multiple services and teams.</li>
</ul>
<p><b>Your Qualifications</b></p>
<ul>
<li>Extensive professional software engineering experience building production backend services.</li>
<li>Strong proficiency in Python, with a track record of writing performant, well-tested, maintainable production code.</li>
<li>Hands-on experience operating containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure).</li>
<li>Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres.</li>
<li>Working understanding of how ML and AI systems run in production, including the data and model pipelines that support them.</li>
<li>Demonstrated ability to work autonomously, take ownership of meaningful systems, and deliver against ambiguous requirements.</li>
<li>Track record of being on-call for production services and contributing to operational excellence.</li>
<li>Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.</li>
</ul>
<p><b>Preferred Skills</b></p>
<ul>
<li>Hands-on MLOps experience, including model training pipelines, deployment workflows, and tooling such as MLflow.</li>
<li>Experience productionizing data science or research code into stable, observable services.</li>
<li>Familiarity with data orchestration tools (e.g., Prefect, Airflow, dbt) and modern data lake architectures.</li>
<li>Experience with gradient-boosted tree models, neural networks, or optimization solvers in production.</li>
<li>Exposure to LLM or agentic application patterns and AI service integration.</li>
<li>Background in forecasting, demand planning, or retail/supply chain domains.</li>
</ul><div><p><b>
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
</b></p><p>We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper &ndash; this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!</p>
<p>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.</p>
<p><b>
Fraud Recruitment Disclaimer</b></p>
<p>
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.</p>
<p>
Anaplan does not:</p>
<ul>
<li>Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.</li>
<li>Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.</li>
</ul>
<p>All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.</p></div></div><p></p>

Senior Backend Software Engineer (Python)

<div><div><p>At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.</p>
<p>
What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture.</p>
<p>
Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.</p>
<p>
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating<i> </i>our wins &ndash; big and small.</p>
<p>
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together!</p></div><p>
You will join the Predictive Intelligence engineering team within Anaplan, building the backend services that power the Syrup platform and Anaplan's forecasting and predictive solutions. The team owns the production services behind forecasting, scoring, and data processing, along with the pipelines and infrastructure that bring ML and AI capabilities to enterprise customers. As a backend engineer, you will build and maintain core services across this stack, writing clean, well-tested Python while growing your craft alongside experienced engineers. This role reports to the Director of Engineering for Predictive Intelligence and works closely with backend engineers, data scientists, and platform partners.</p>
<p><b>
Your Impact</b></p>
<ul>
<li>Build and maintain backend services, APIs, and data processing components across the Predictive Intelligence stack.</li>
<li>Contribute to the forecasting, scoring, and data processing services that deliver predictive insights, with attention to performance, reliability, and code quality.</li>
<li>Write clean, well-tested, maintainable Python and follow established engineering best practices.</li>
<li>Work with data scientists and ML engineers to integrate models into production services and support the pipelines around them.</li>
<li>Participate in code reviews and design discussions, and incorporate feedback to grow as an engineer.</li>
<li>Take part in on-call rotations as you ramp, and help monitor, diagnose, and resolve issues across services and pipelines.</li>
<li>Collaborate across the team to deliver well-scoped features end to end.</li>
</ul>
<p><b>Your Qualifications</b></p>
<ul>
<li>Proven commercial professional software engineering experience building backend services.</li>
<li>Solid proficiency in Python, with experience writing well-structured, tested production code.</li>
<li>Experience with relational databases and SQL (e.g., Postgres); familiarity with data warehousing technologies such as Snowflake is a plus.</li>
<li>Exposure to containerized services and at least one major cloud (AWS, GCP, or Azure).</li>
<li>Basic understanding of how ML and AI systems run in production and the data pipelines that support them.</li>
<li>Familiarity with version control (Git) and collaborative development practices.</li>
<li>Demonstrated ability to take ownership of well-scoped systems and deliver against requirements with some ambiguity.</li>
<li>Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.</li>
</ul>
<p><b>Preferred Skills</b></p>
<ul>
<li>Experience with data orchestration tools (e.g., Prefect, Airflow, dbt).</li>
<li>Familiarity with MLOps tooling such as MLflow, or experience supporting ML workloads in production.</li>
<li>Exposure to LLM or agentic application patterns and AI service integration.</li>
<li>Experience operating services on Kubernetes.</li>
<li>Background in forecasting, demand planning, or retail/supply chain domains.</li>
</ul><div><p><b>
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
</b></p><p>We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper &ndash; this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!</p>
<p>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.</p>
<p><b>
Fraud Recruitment Disclaimer</b></p>
<p>
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.</p>
<p>
Anaplan does not:</p>
<ul>
<li>Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.</li>
<li>Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.</li>
</ul>
<p>All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.</p></div></div><p></p>

Associate Backend Software Engineer (Python)

Maxwell Bond

<div>
 <p>
  <strong>
   AI Systems Engineer
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Hybrid (Manchester)
 </p>
 <p>
  <strong>
   Salary:
  </strong>
  &pound;60,000 - &pound;75,000
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Opportunity
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a great opportunity for an experienced Software Engineer with hands-on experience building AI-powered products and systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is not a traditional Machine Learning or Data Science role. You won't be training foundation models or developing new LLM architectures. Instead, you'll be focused on designing and building the software systems that leverage modern AI technologies to solve real-world business problems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You'll work on AI-native products, intelligent workflows, retrieval systems, agentic architectures and automation platforms, helping shape the next generation of AI-powered software.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Be Doing
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Designing and building AI-powered applications and services
  </li>
  <li>
   Developing intelligent workflows and agentic systems
  </li>
  <li>
   Integrating LLMs into production software products
  </li>
  <li>
   Building retrieval, context and memory systems
  </li>
  <li>
   Designing robust APIs and backend services
  </li>
  <li>
   Evaluating AI performance, reliability and quality
  </li>
  <li>
   Implementing monitoring, testing and fallback mechanisms for AI-driven features
  </li>
  <li>
   Working closely with engineering leadership to define best practices for AI-native development
  </li>
  <li>
   Contributing to architectural decisions across a modern cloud-based platform
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience and Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Strong commercial experience as a Software Engineer, Backend Engineer or Full Stack Engineer
  </li>
  <li>
   Experience building applications that utilise Large Language Models (LLMs)
  </li>
  <li>
   Experience designing and delivering production-grade software systems
  </li>
  <li>
   Strong understanding of software architecture and system design principles
  </li>
  <li>
   Experience working with cloud platforms (AWS, Azure or GCP)
  </li>
  <li>
   Strong programming skills in TypeScript, Python or similar modern languages
  </li>
  <li>
   Experience integrating external APIs and services
  </li>
  <li>
   Ability to make pragmatic technical decisions and communicate trade-offs
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Highly Desirable
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience building AI agents or agentic workflows
  </li>
  <li>
   Experience with Retrieval Augmented Generation (RAG)
  </li>
  <li>
   Experience working with vector databases and semantic search
  </li>
  <li>
   Knowledge of context management and memory architectures
  </li>
  <li>
   Experience evaluating and testing AI outputs in production environments
  </li>
  <li>
   Experience designing AI-assisted automation systems
  </li>
  <li>
   Exposure to frameworks and tooling within the modern AI ecosystem
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who This Will Suit
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role would suit someone who has moved beyond simply using AI tools in their development workflow and has experience building software products that actively leverage AI capabilities. You may currently be working as:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Senior Software Engineer
  </li>
  <li>
   Backend Engineer
  </li>
  <li>
   Full Stack Engineer
  </li>
  <li>
   AI Systems Engineer
  </li>
  <li>
   Applied AI Engineer
  </li>
  <li>
   Platform Engineer with AI experience
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Most importantly, you'll be excited by the challenge of building reliable, scalable software systems that incorporate AI as a core part of the product experience.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Apply?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Work on genuinely innovative AI-native products
  </li>
  <li>
   Influence technical direction and architecture
  </li>
  <li>
   Join a team investing heavily in modern AI technologies
  </li>
  <li>
   Solve complex engineering challenges at scale
  </li>
  <li>
   Opportunity to help shape the future of AI-enabled software development
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  They are committed to moving quickly on this with interview slots available.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Please apply today.
 </p>
</div>


Artificial Intelligence Engineer

Turnitin, Llc

<div><b>Company Description</b><p><br>
When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are.</p><p>
Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education.</p><p>
Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines.</p><b><br>
Job Description</b><p><br>
Turnitin is seeking a Principal Backend Engineer with a strong focus on backend development, particularly in Java and serverless architectures, combined with solid frontend experience. This role is ideal for engineers passionate about building scalable distributed systems, data modeling, and delivering high-performing, reliable software solutions for our award-winning educational platform.<br>
As a core contributor to our shared services team, you will play a key role in developing and enhancing the foundational systems that power both existing and new applications. This role is fully hands-on, requiring active involvement in coding, development, and implementation of technical solutions. You will also be called upon to lead more junior engineers and collaborate with other teams.</p><p><b>
Responsibilities:</b></p><ul><li>
Lead and design, development, and optimization of scalable backend services using Java and serverless technologies (e.g., AWS Lambda).</li><li>
Architect and implement RESTful APIs and event-driven systems to support high-performance, distributed applications.</li><li>
Provide technical leadership to the team, ensuring alignment with architectural standards and best practices.</li><li>
Contribute to the development and integration of user-facing frontend components when needed.</li><li>
Analyze and optimize existing services to enhance performance, scalability, and cost-effi ciency.</li><li>
Collaborate with cross-functional teams, including Architects, Product Managers, and engineering leads, to deliver innovative and impactful solutions.</li><li>
Mentor and guide junior developers, fostering a culture of continuous learning and knowledge sharing.</li><li>
Oversee the implementation and maintenance of CI/CD pipelines to ensure effi cient and reliable software delivery.</li><li>
Maintain high standards of code quality through rigorous peer reviews, comprehensive testing, and adherence to industry best practices.</li><li>
Create comprehensive documentation for the developed shared components, including usage guidelines and examples.</li></ul><br>
<b>
Qualifications</b><p><b><br>
Essential Qualifications, Skills, and Knowledge/Experience:</b></p><ul><li>
Over 10 years of experience in backend development with deep profi ciency in Java and extensive hands-on experience with serverless frameworks (e.g., AWS Lambda, Google Cloud Functions).</li><li>
Solid understanding of frontend technologies, including React and Web Components, with the ability to contribute when needed.</li><li>
Expertise in designing and managing distributed systems, ensuring scalability, and advanced data modeling techniques.</li><li>
Demonstrated ability to lead and collaborate effectively with cross-functional teams and stakeholders across multiple locations, including distributed teams in Europe and the USA, to deliver impactful, high-quality solutions.</li><li>
Practical expertise in cloud technologies, specifically developing serverless applications on AWS using services such as Lambda, DynamoDB, API Gateway, SNS/SQS, and EventBridge.</li><li>
Deep understanding of software development best practices, including design patterns, test-driven development (TDD), behavior-driven development (BDD), and clean code principles.</li><li>
Experience implementing and managing CI/CD pipelines for automated build, deployment, and testing.</li><li>
Familiarity with modern DevOps practices and infrastructure-as-code (IaC).</li><li>
Proven ability to conduct comprehensive system design reviews, ensuring architectural alignment, scalability, performance, and adherence to best practices.</li><li>
Proven experience as a Tech Lead, with a strong track record of mentoring and coaching junior engineers, promoting skill development, and driving adherence to best practices to ensure team growth and technical excellence.</li><li>
Exceptional collaboration skills, working effectively across cross-functional teams, including Product Managers, Architects, and other engineering leads.</li><li>
Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.</li><li>
Strong problem-solving skills, with a track record of troubleshooting and optimizing existing systems for performance, scalability, and cost effi ciency.</li><li>
Ability to make strategic technical decisions while balancing project deadlines and business goals.</li></ul><p><b>
Preferred Skills:</b></p><ul><li>
Experience with frontend technologies such as React, Angular, or Web Components is a plus.</li><li>
Familiarity with monitoring and observability tools (e.g., CloudWatch, New Relic, Datadog).</li><li>
Knowledge of data modeling and working with both NoSQL databases.</li><li>
Understanding of agile methodologies, including Scrum, XP and Kanban.</li><li>
Understanding or experience with AI/ML.</li></ul><br>
<b>
Additional Information</b><p><b><br>
Total Rewards @ Turnitin</b><br>
At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they&rsquo;re only part of the value you receive in exchange for your work.</p><p>
Beyond compensation, you&rsquo;ll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You&rsquo;ll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates.</p><p>
In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life&rsquo;s challenges. You&rsquo;ll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being.</p><p><b>
Our Mission</b> is to ensure the integrity of global education and meaningfully improve learning outcomes.<br>
<br>
<b>Our Values</b> underpin everything we do.</p><ul><li><b>
Customer Centric: </b>Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do.</li><li><b>
Passion for Learning: </b>We are committed to our own learning and growth internally. And we support education and learning around the globe.</li><li><b>
Integrity: </b>Integrity is the heartbeat of Turnitin&mdash;it is the core of our products, the way we treat each other, and how we work with our customers and vendors.</li><li><b>
Action &amp; Ownership: </b>We have a bias for action. We act like owners. We are willing to change even when it&rsquo;s hard.</li><li><b>
One Team:</b> We strive to break down silos, collaborate effectively, and celebrate each others' successes.</li><li><b>
Global Mindset: </b>We consider different perspectives and celebrate diversity. We are one team. The work we do has an impact on the world.</li></ul><p><b>
Global Benefits</b></p><ul><li>
Remote First Culture</li><li>
Health Care Coverage*</li><li>
Education Reimbursement*</li><li>
Competitive Paid Time Off</li><li>
Self-Care Days</li><li>
National Holidays*</li><li>
2 Founder Days + Juneteenth Observed</li><li>
Paid Volunteer Time*</li><li>
Charitable contribution match*</li><li>
Monthly Wellness or Home Office Reimbursement/*</li><li>
Access to Modern Health (mental health platform)</li><li>
Parental Leave*</li><li>
Retirement Plan with match/contribution*</li><li>varies by country</li></ul><p><b>
Seeing Beyond the Job Ad</b><br>
At Turnitin, we recognize it&rsquo;s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you&rsquo;re willing to learn and unleash your potential alongside us, join our team!</p><p>
#LI-AP1</p></div>

Principal Software Engineer Backend Technologies, Platform (UK Remote)

Obsidian Security

<div><div><p>Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world's largest Fortune 1000 and Global 2000 companies.</p>
<p>
Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens&mdash;Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they're transforming how SaaS is secured.</p>
<p>
With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time.</p>
<p>
With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness.</p></div><h3 class="jobSectionHeader"><b>
About the Role</b></h3>
<p><b>
As a Data Engineer at Obsidian, you'll:</b></p>
<ul>
<li>Own and evolve the data pipelines behind one of Obsidian's core products</li>
<li>Build and maintain data transformations and orchestrated jobs that turn raw signal into attributed, enriched data at scale</li>
<li>Keep customer analytics datasets accurate, fresh, and reliable across multiple data stores</li>
<li>Extend and improve our data attribution engine, including its rule-based and LLM-assisted curation stages</li>
<li>Make occasional changes to the Go service that exposes this data through our APIs, working alongside backend engineers</li>
<li>Collaborate with product managers, backend engineers, and the teams who turn this data into customer-facing functionality</li>
<li>Champion data correctness, observability, and clean, testable transformations</li>
<li>Participate in code reviews and technical discussions to continuously raise engineering standards</li>
</ul><h3 class="jobSectionHeader"><b>What's in it for you</b></h3>
<ul><li>Own the data foundations of a core product used by enterprises worldwide</li>
<li>Work alongside a talented, supportive team in a collaborative culture</li>
<li>Grow your skills across modern data tooling, streaming systems, and LLM-assisted workflows</li>
<li>Gain exposure to a cloud-agnostic platform spanning AWS and GCP</li>
<li>Be part of an innovative, growing company where your work makes a real impact</li>
<li>Enjoy hybrid working, with supported remote working and great office spaces in Cheltenham and Manchester</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills and Experience:</b></h3>
<ul><li>3&ndash;6 years of experience in a data engineering or software engineering role</li>
<li>Strong SQL and hands-on experience building production data pipelines</li>
<li>Experience with a modern data orchestrator such as Dagster, Airflow, or similar</li>
<li>Proficiency with a data transformation framework such as dbt</li>
<li>Proficiency in Python</li>
<li>Familiarity with Git and CI/CD tooling such as GitLab CI/CD</li>
<li>Familiarity with relational databases (e.g., Postgres) and cloud data warehouses</li>
<li>A bias toward data quality, testing, and maintainable, well-documented work</li>
<li>Experience collaborating in a team environment and adapting to changing requirements</li>
</ul><h3 class="jobSectionHeader"><b>Desirable Experience</b></h3>
<ul><li>Experience with Databricks/Spark or other large-scale analytics platforms</li>
<li>Exposure to event/streaming systems such as Kafka</li>
<li>Existing Go experience for occasional API changes</li>
<li>Familiarity with containerization and orchestration (Docker, Kubernetes)</li>
<li>Exposure to LLM-assisted data workflows</li>
<li>Experience with cloud platforms (AWS or GCP) and object storage (S3/GCS)</li>
<li>Exposure to observability tooling such as Grafana or Prometheus</li></ul></div>

Data Engineer

<div><p>We&rsquo;re seeking a future team member for the role of <b>Java Full Stack Engineer </b><b>with AI-driven development exposure </b>to join our Conventional Trust Platform team. This role is located in <b>Manchester </b>.
</p><p>In this role, you&rsquo;ll make an impact in the following ways:
</p><ul><li><div>Define and execute the enterprise Java full stack technology strategy, aligned with business transformation goals.
</div></li><li><div>Champion AI driven development practices (e.g., AI-assisted coding, automated testing, remediation, and code quality).
</div></li><li><div>Drive modernization initiatives including cloud migration, microservices, event-driven architectures, and API-led platforms.
</div></li><li><div>Establish best practices for secure, scalable, and resilient application design.
</div></li><li><div>Oversee end-to-end delivery of complex platforms across backend (Java) and frontend technologies.
</div></li><li><div>Ensure high-quality engineering outcomes using CI/CD, automation, and DevSecOps practices.
</div></li><li><div>Lead large-scale programs focused on velocity, reliability, and cost efficiency.
</div></li><li><div>Drive backlog prioritization, technical debt reduction, and vulnerability remediation<br>
</div></li></ul><div></div><p>To be successful in this role, we&rsquo;re seeking the following:
</p><ul><li><div>Senior full stack engineer with Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred
</div></li><li><div>Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling.
</div></li><li><div>Strong hands-on experience with AI Development tools like Claude CLI, Windsurf
</div></li><li><div>Solid understanding of the ML lifecycle; exposure to model risk or governance is a plus.
</div></li><li><div>Strong Java development skills, including experience with multi-threaded and mission critical applications
</div></li><li><div>Strong Exposure and knowledge of front end technologies such as React and Angular
</div></li><li><div>Ability to solve ambiguous problems with scalable, innovative solutions.
</div></li><li><div>Clear communicator who can influence cross-functional partners.
</div></li><li><div>Excellent collaboration and communication skills, able to engage effectively with engineers, architects, and executives.</div></li></ul></div>

Specialist, Full-Stack Engineer

Senior Vice President, Full-Stack Engineer

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