Octus Fundamentals delivers comprehensive financial data for informed credit decisions, covering reported and standardised financials, KPIs, tear sheets, and complex capital structures for more than 3,000 corporates globally across both publicly listed and privately held companies. Our dataset encompasses corporates across the sub-investment-grade liquid credit and private credit universe. 

We are looking for a Data & Analytics Analyst to join our Fundamentals EMEA team. The successful candidate will play a central role in building and maintaining market-wide datasets that enable our subscribers – professionals across hedge funds, investment banks, and management consulting firms – to benchmark issuers across sectors, regions, instrument types, and company sizes. The role sits at the intersection of financial analysis, data engineering, and product development.

This is a hands-on, high-impact position offering direct exposure to how leading credit market participants use data in their workflows, with meaningful opportunities to shape how our products evolve.

Responsibilities:

Fundamentals Data Analytics

• Own and regularly update the Market Data file, maintaining accuracy and completeness of aggregated metrics across Octus's non-investment-grade liquid credit coverage universe
• Launch a similar Market Data file for the private credit universe 
• Respond to ad-hoc client data requests, running custom analyses and extracts to meet specific benchmarking or screening needs. This entails producing anonymised benchmarking analyses across sectors, regions, instrument types (bonds, loans) and company sizes. 

Data Quality & Mapping 

• Develop and enhance the financial data quality control framework, with the goal of minimising data errors and providing feedback and training to financial analysts on best practices.
• Collaborate with the Fundamentals financials and capital structure analyst teams to resolve data discrepancies and maintain dataset integrity
• Support internal and external mapping exercises, ensuring consistency between company identifiers, instrument references, and data sources across systems

Automation & AI

• Identify, design, and implement automation solutions to streamline repetitive data operations and reporting workflows across the Fundamentals department
• Leverage AI tools and large language models to enhance data extraction, classification, and analysis pipelines
• Build and maintain dashboards and query templates to support the broader analyst team with scalable, self-serve data access

Cross-functional Support & Product Development

• Assist the Fundamentals analyst teams with ad-hoc internal data requests, query setup, and analytical tasks
• Develop a deep understanding of how Octus clients use the platform and contribute ideas for improving data products and user experience

Requirements:

• 2+ years of experience in a data analytics, financial data, or credit research role
• Bachelor's or Master's degree in Business, Finance, Accounting, Data Science, Engineering, or a related discipline
• Knowledge of financial reporting and accounting standards, and the ability to interpret financial statements and assess financial performance
• Familiarity with credit instruments and credit market dynamics; understanding of investment banking and credit analysis workflows is a strong advantage
• Advanced Excel skills including complex formulas, pivot tables, macros, Power Query, and large-dataset manipulation
• Proficiency in Python and/or SQL for data manipulation, automation scripting, and workflow optimisation
• Experience with Microsoft automation and visualisation tools: Power Automate, Power BI, or equivalent platforms
• Working knowledge of AI tools and large language models (e.g. ChatGPT, Gemini, Claude) for data extraction, document analysis, or process automation; experience building AI-assisted workflows is a plus

Octus Fundamentals delivers comprehensive financial data for informed credit decisions, covering reported and standardised financials, KPIs, tear sheets, and complex capital structures for more than 3,000 corporates globally across both publicly listed and privately held companies. Our dataset encompasses corporates across the sub-investment-grade liquid credit and private credit universe. 

We are looking for a Data & Analytics Analyst to join our Fundamentals EMEA team. The successful candidate will play a central role in building and maintaining market-wide datasets that enable our subscribers – professionals across hedge funds, investment banks, and management consulting firms – to benchmark issuers across sectors, regions, instrument types, and company sizes. The role sits at the intersection of financial analysis, data engineering, and product development.

This is a hands-on, high-impact position offering direct exposure to how leading credit market participants use data in their workflows, with meaningful opportunities to shape how our products evolve.

Responsibilities:

Fundamentals Data Analytics

• Own and regularly update the Market Data file, maintaining accuracy and completeness of aggregated metrics across Octus's non-investment-grade liquid credit coverage universe
• Launch a similar Market Data file for the private credit universe 
• Respond to ad-hoc client data requests, running custom analyses and extracts to meet specific benchmarking or screening needs. This entails producing anonymised benchmarking analyses across sectors, regions, instrument types (bonds, loans) and company sizes. 

Data Quality & Mapping 

• Develop and enhance the financial data quality control framework, with the goal of minimising data errors and providing feedback and training to financial analysts on best practices.
• Collaborate with the Fundamentals financials and capital structure analyst teams to resolve data discrepancies and maintain dataset integrity
• Support internal and external mapping exercises, ensuring consistency between company identifiers, instrument references, and data sources across systems

Automation & AI

• Identify, design, and implement automation solutions to streamline repetitive data operations and reporting workflows across the Fundamentals department
• Leverage AI tools and large language models to enhance data extraction, classification, and analysis pipelines
• Build and maintain dashboards and query templates to support the broader analyst team with scalable, self-serve data access

Cross-functional Support & Product Development

• Assist the Fundamentals analyst teams with ad-hoc internal data requests, query setup, and analytical tasks
• Develop a deep understanding of how Octus clients use the platform and contribute ideas for improving data products and user experience

Requirements:

• 2+ years of experience in a data analytics, financial data, or credit research role
• Bachelor's or Master's degree in Business, Finance, Accounting, Data Science, Engineering, or a related discipline
• Knowledge of financial reporting and accounting standards, and the ability to interpret financial statements and assess financial performance
• Familiarity with credit instruments and credit market dynamics; understanding of investment banking and credit analysis workflows is a strong advantage
• Advanced Excel skills including complex formulas, pivot tables, macros, Power Query, and large-dataset manipulation
• Proficiency in Python and/or SQL for data manipulation, automation scripting, and workflow optimisation
• Experience with Microsoft automation and visualisation tools: Power Automate, Power BI, or equivalent platforms
• Working knowledge of AI tools and large language models (e.g. ChatGPT, Gemini, Claude) for data extraction, document analysis, or process automation; experience building AI-assisted workflows is a plus

About the Job:

You will be the technical lead within our release orchestration and deployment product development teams. You will build upon our software stack that is being run by numerous Fortune 5000 companies in the world to streamline their DevOps processes at scale. We are looking for owners, people that can pick up a something from a range of topics and become experts, producing a quality solution that will last, and leaders, that can encourage team members with their work and personality to produce the best solutions. The position is full-stack, but with backend affinity – passionate about architecture, performance and scalability.

What you will do:

• Serve as the Technical Lead for our Release Orchestration product development teams.
• Own your space and pick up a range of topics to become an expert and produce a quality solution that will last.
• Lead by example with your work expertise and inspire your team with your personality to produce the best solutions.

What you will bring:

• Located in Lithuania. Candidates outside Vilnius will be considered for a hybrid work schedule, coming to office occasionally as needed.
• Bachelors degree and professional experience crafting enterprise softwareValidated experience in application/product development using a broad range of programming technologies including:
• At least 5 years of experience developing full-stack applications
• Excellent knowledge of object-oriented programming in Java and Scala languages
• Experience with Spring, Akka, ORMs, and SQL databases
• Excellent testing skills with JUnit and ScalaTest
• Solid understanding of DevOps tools and practices, including CI/CD pipelines (GitLab, GitHub Actions), containerization (Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP).
• Practical experience with Go or Kubernetes, cloud platform APIs is a great plus.
• Willingness to share knowledge and mentor team members to support their growth and development
• Growth mindset, continually seeking feedback on ways to improve yourself and the team
• Familiarity with React, TypeScript, JavaScript, and associated tooling
• Understanding of software design and architecture principles to develop maintainable enterprise applications
• Phenomenal written and spoken English skills

For this position we offer a gross salary of 5,200 - 6,250 EUR/month depending on the level of experience.

Why is Digital.ai a great place to be?

Digital.ai offers great benefits including:

• Opportunity to work in an international company
• Outstanding and exciting challenges
• Cash long term incentive plan
• Private health insurance
• Employee referral program
• Free access to O'Reilly 
• Informal work environment and flexible working hours
• Additional days off
• Team building and other unifying events
• Team meals and snacks in the office
• Food delivery voucher
• Office parking

At Digital.ai, we believe in fostering a culture of pay transparency. We are committed to providing our employees with fair and competitive compensation. The current salary for this specific job is estimated to be €62,500 - €70,000 pus bonus. Please note that final compensation will be determined based on factors such as qualifications, experience, and internal equity. We value transparency and aim to create an inclusive and equitable workplace for all our employees. Certain positions at Digital.ai might also be eligible for additional compensation in the form of bonuses, or other employee benefits which are separate from the base salary and to be defined at offer stage.

All are welcome to apply.  We maintain compliance with federal, state, and local laws that prohibit employment discrimination on the basis of age, race, color, gender, identity, gender expression, sex, pregnancy, national origin, ancestry, religion, physical or mental ability, medical condition, sexual orientation, marital status, citizenship status, protected military or veteran status, and all other protected classifications. We welcome everyone and believe that diversity is the foundation of innovation.

For individuals with disabilities who would like to request accommodation, please advise us within your job application or cover letter.

FRAUD PREVENTION ALERT: please note that Digital.ai does not use third party recruiters. In our efforts to protect you against impersonation please check the email address or if you are contacted by an unfamiliar/third party requesting please reach out directly to Digital.ai.

This role is designed for a "Hub-and-Spoke" organizational model. The Head of Data will not manage the day-to-day tickets of embedded analysts but will own the Data Strategy, Infrastructure, and Standards that allow those analysts to be successful and consistent across the company.

Role Mission

As the Head of Data, the mission is to transform a decentralized data landscape into a unified, high-performance ecosystem. Head of Data will bridge the gap between autonomous product squads and a centralized data vision. Head of Data is the architect of our data culture, ensuring that while analysts sit within different business units, they operate with a common language, world-class tools, and uncompromised data integrity.

Key Responsibilities

Strategic Leadership & Governance

• Unified Data Strategy: Define and execute a global data roadmap that aligns with company-wide OKRs.
• Standardization: Define universal metrics (e.g., "Active User," "Revenue") to ensure a single source of truth across all departments.
• Data Governance: Set policies for data privacy, security, and compliance (GDPR) without bottlenecking the speed of the product teams.

Platform & Infrastructure

• Modern Data Stack: Own the selection and maintenance of our data warehouse (e.g., Snowflake/Redshift), transformation layers (dbt), and BI tools (Looker/Tableau).
• Data Engineering Oversight: Lead the core data engineering efforts to ensure a robust ETL/ELT pipeline that serves the decentralized "spokes."
• Self-Service Enablement: Build the infrastructure that allows non-technical stakeholders to access insights without needing an analyst for every query.

Functional Excellence & Community

• The Data Guild: Create and lead a "Data Guild" or "Community of Practice" to facilitate knowledge sharing, peer reviews, and mentorship among embedded analysts.
• Talent Bar: Define the hiring standards, leveling rubrics, and career paths for all data roles across the company. 
• Best Practices: Drive the adoption of version control (Git), documentation, and automated testing (Data Quality) within the analytic workflows.

Business Impact & Culture

• Data Literacy: Act as an evangelist for data-driven decision-making, coaching C-suite and Product Leads on how to better leverage data.
• Resource Allocation: Partner with Department Leads to identify where data gaps exist and advocate for the placement of analysts in the highest-impact areas.

Key Requirements

Strategic Leadership & Organizational Design

• Architectural Strategy: 6+ years of experience in Data/Analytics, with a proven track record of scaling "Hub-and-Spoke" or Data Mesh models. Demonstrated ability to balance centralized governance with decentralized execution speed.
• Strategic Influence: Proven ability to influence and align senior stakeholders (C-level, Product Leads) who do not have a direct reporting line to this role. Ability to lead through expertise and professional authority.
• Data-as-a-Product Mindset: A strategic approach to treating the data platform, tooling, and core datasets as internal products, where embedded analysts and business units are the primary customers.
• Change Management: Experience in leading organizational transitions (e.g., from centralized to decentralized) and establishing a high-performance data culture across distributed teams.

Technical Excellence & Methodology

• AI Modernization & Tooling: Lead the evaluation and strategic implementation of cutting-edge AI-driven data extraction solutions, ensuring selected technologies align with cross-departmental requirements and scale seamlessly across the organization’s data infrastructure.
• Modern Data Stack Mastery: Expert-level knowledge of cloud data warehousing (e.g., Snowflake, Redshift), transformation layers (dbt), and orchestration.
• Advanced Analytics & Modeling: Proficiency in SQL and Python/R for complex data modeling and predictive analytics. Deep understanding of version control (Git) and CI/CD practices in data workflows.
• Statistical Rigor & Experimentation: Extensive experience in designing and analyzing A/B tests, causal inference, and applying advanced statistical methods to drive business decisions.
• Operational Intelligence: Background in high-scale operational analytics, including forecasting, capacity planning, efficiency analysis, and automated quality assurance.

Functional Management & Governance

• Talent Development & Bar Raising: Experience in defining hiring standards, career frameworks, and mentorship programs for Data Analysts and Data Scientists.
• Data Governance & Quality: Proven ability to establish global data standards, master data management, and unified metric definitions to ensure a "Single Source of Truth" across the organization.
• Storytelling & Communication: Exceptional ability to translate complex technical findings into persuasive, executive-level narratives that drive operational and strategic improvements.
• Pragmatic Problem Solving: A results-oriented mindset with the ability to bridge the gap between high-level data science and pragmatic, actionable business solutions.

What we believe

At TransferGo, we offer competitive rewards to all people. We know that recognition is about more than just money, and we’ve fostered a culture of kudos to shine a light on the great work throughout the business, and the people making it all happen. We hold regular in-person events to connect with each other and help all our TransferNauts to grow with a generous training allowance. We believe that empowering people makes for a happier and more effective workforce. This means we enable anyone who wants to pursue initiatives that deliver real value for our migrant customers. 

What We Offer:

• Competitive Salary: Starting from 6480-9720€ (gross) per month, depending on experience. Salary is just one part of the conversation – if you’re excited about the role but the range feels slightly off, don’t hesitate to apply. We’re open to discussing based on your experience and potential.
• Comprehensive Benefits: Including a generous holiday allowance, competitive healthcare insurance, and a wellbeing package from day one.
• Annual Development Budget: €1,000 to invest in your personal and professional growth.
• Hybrid Working Environment: Flexibility to work from home and in the office, with most team members in the office two days a week.
• Pet-Friendly Office: If you’re near one of our offices, bring your furry friend along!
• Inclusive Culture: Regular in-person events, fostering a strong sense of community and collaboration.
• Empowerment and Ownership: We believe in empowering our people to take initiative and drive meaningful change.

This role is designed for a "Hub-and-Spoke" organizational model. The Head of Data will not manage the day-to-day tickets of embedded analysts but will own the Data Strategy, Infrastructure, and Standards that allow those analysts to be successful and consistent across the company.

Role Mission

As the Head of Data, the mission is to transform a decentralized data landscape into a unified, high-performance ecosystem. Head of Data will bridge the gap between autonomous product squads and a centralized data vision. Head of Data is the architect of our data culture, ensuring that while analysts sit within different business units, they operate with a common language, world-class tools, and uncompromised data integrity.

Key Responsibilities

Strategic Leadership & Governance

• Unified Data Strategy: Define and execute a global data roadmap that aligns with company-wide OKRs.
• Standardization: Define universal metrics (e.g., "Active User," "Revenue") to ensure a single source of truth across all departments.
• Data Governance: Set policies for data privacy, security, and compliance (GDPR) without bottlenecking the speed of the product teams.

Platform & Infrastructure

• Modern Data Stack: Own the selection and maintenance of our data warehouse (e.g., Snowflake/Redshift), transformation layers (dbt), and BI tools (Looker/Tableau).
• Data Engineering Oversight: Lead the core data engineering efforts to ensure a robust ETL/ELT pipeline that serves the decentralized "spokes."
• Self-Service Enablement: Build the infrastructure that allows non-technical stakeholders to access insights without needing an analyst for every query.

Functional Excellence & Community

• The Data Guild: Create and lead a "Data Guild" or "Community of Practice" to facilitate knowledge sharing, peer reviews, and mentorship among embedded analysts.
• Talent Bar: Define the hiring standards, leveling rubrics, and career paths for all data roles across the company. 
• Best Practices: Drive the adoption of version control (Git), documentation, and automated testing (Data Quality) within the analytic workflows.

Business Impact & Culture

• Data Literacy: Act as an evangelist for data-driven decision-making, coaching C-suite and Product Leads on how to better leverage data.
• Resource Allocation: Partner with Department Leads to identify where data gaps exist and advocate for the placement of analysts in the highest-impact areas.

Key Requirements

Strategic Leadership & Organizational Design

• Architectural Strategy: 6+ years of experience in Data/Analytics, with a proven track record of scaling "Hub-and-Spoke" or Data Mesh models. Demonstrated ability to balance centralized governance with decentralized execution speed.
• Strategic Influence: Proven ability to influence and align senior stakeholders (C-level, Product Leads) who do not have a direct reporting line to this role. Ability to lead through expertise and professional authority.
• Data-as-a-Product Mindset: A strategic approach to treating the data platform, tooling, and core datasets as internal products, where embedded analysts and business units are the primary customers.
• Change Management: Experience in leading organizational transitions (e.g., from centralized to decentralized) and establishing a high-performance data culture across distributed teams.

Technical Excellence & Methodology

• AI Modernization & Tooling: Lead the evaluation and strategic implementation of cutting-edge AI-driven data extraction solutions, ensuring selected technologies align with cross-departmental requirements and scale seamlessly across the organization’s data infrastructure.
• Modern Data Stack Mastery: Expert-level knowledge of cloud data warehousing (e.g., Snowflake, Redshift), transformation layers (dbt), and orchestration.
• Advanced Analytics & Modeling: Proficiency in SQL and Python/R for complex data modeling and predictive analytics. Deep understanding of version control (Git) and CI/CD practices in data workflows.
• Statistical Rigor & Experimentation: Extensive experience in designing and analyzing A/B tests, causal inference, and applying advanced statistical methods to drive business decisions.
• Operational Intelligence: Background in high-scale operational analytics, including forecasting, capacity planning, efficiency analysis, and automated quality assurance.

Functional Management & Governance

• Talent Development & Bar Raising: Experience in defining hiring standards, career frameworks, and mentorship programs for Data Analysts and Data Scientists.
• Data Governance & Quality: Proven ability to establish global data standards, master data management, and unified metric definitions to ensure a "Single Source of Truth" across the organization.
• Storytelling & Communication: Exceptional ability to translate complex technical findings into persuasive, executive-level narratives that drive operational and strategic improvements.
• Pragmatic Problem Solving: A results-oriented mindset with the ability to bridge the gap between high-level data science and pragmatic, actionable business solutions.

What we believe

At TransferGo, we offer competitive rewards to all people. We know that recognition is about more than just money, and we’ve fostered a culture of kudos to shine a light on the great work throughout the business, and the people making it all happen. We hold regular in-person events to connect with each other and help all our TransferNauts to grow with a generous training allowance. We believe that empowering people makes for a happier and more effective workforce. This means we enable anyone who wants to pursue initiatives that deliver real value for our migrant customers. 

What We Offer:

• Competitive Salary: Starting from 19 930-29 920 PLN (gross) per month, depending on experience. Salary is just one part of the conversation – if you’re excited about the role but the range feels slightly off, don’t hesitate to apply. We’re open to discussing based on your experience and potential.
• Comprehensive Benefits: Including a generous holiday allowance, competitive healthcare insurance, and a wellbeing package from day one.
• Annual Development Budget: €1,000 to invest in your personal and professional growth.
• Hybrid Working Environment: Flexibility to work from home and in the office, with most team members in the office two days a week.
• Pet-Friendly Office: If you’re near one of our offices, bring your furry friend along!
• Inclusive Culture: Regular in-person events, fostering a strong sense of community and collaboration.
• Empowerment and Ownership: We believe in empowering our people to take initiative and drive meaningful change.

Inbank is a financial technology company with an EU banking license that connects merchants, consumers, and financial institutions on its next-generation embedded finance platform. Our financing solutions are embedded seamlessly into the shopping journey of 6,000+ retailers. This helps our merchant partners grow their businesses, while end customers benefit from a frictionless shopping experience wherever they are. With a focus on innovation and growth, we are looking for talented people to join our team of 440+ working across our offices in Estonia, Latvia, Lithuania, Poland, and the Czech Republic.

Due to our ambitious growth plans, we are looking for a Workplace Services Engineer to join our team in Vilnius.

In this role, you will own and continuously improve the workplace technology environment that enables our employees to work securely and efficiently across multiple locations. You will manage day-to-day workplace IT operations, support end-user devices, maintain office infrastructure, and administer collaboration and identity systems.

Beyond operational support, you will help evolve our workplace services by introducing automation, improving device management, and implementing scalable solutions such as zero-touch onboarding and offboarding. Working closely with cross-functional teams and external vendors, you will play a key role in enhancing the employee technology experience and ensuring our workplace systems scale with the company’s growth across markets.

This role requires occasional travel to our offices in Kaunas, Riga, Gdansk, and the Czech Republic.

Ideally, you have:

• 3+ years of experience in IT support, workplace engineering, or systems administration.
• Strong expertise managing Windows and macOS environments.
• Hands-on experience with office networking, VPNs, firewalls, and printers.
• Experience setting up and supporting meeting room and collaboration technologies such as Cisco Webex, Google Meet, or similar platforms.
• Familiarity with MDM solutions such as JumpCloud or similar device management tools.
• Practical experience with Google Workspace, Microsoft 365, Slack, and Atlassian tools (Jira, Confluence, ServiceDesk).
• Experience with Identity and Access Management (IAM), including SSO, SAML, OAuth, SWA, LDAP, and API integrations.
• Experience with vendor management, license management, and procurement of IT equipment and services.
• Experience implementing or supporting zero-touch IT processes, including automated onboarding and offboarding.
• Familiarity with automation, scripting, or AI tools to streamline IT operations (Python is a strong advantage), or workflow automation platforms such as Zapier.
• Strong problem-solving and communication skills in Lithuanian and English.

Soft skills:

• Proactive mindset: Take ownership of improvements and actively identify opportunities to enhance systems, processes, and the employee technology experience.
• Automation focus: Continuously look for ways to streamline workflows and improve efficiency through automation.
• Customer-centric approach: Prioritize employee needs and deliver responsive, high-quality IT support.
• Mission-oriented: Align IT initiatives with company goals and support business outcomes through effective use of technology.
• Engineering mindset: Approach challenges systematically with a focus on scalable, long-term solutions—considering incident management, disaster recovery (DR), risk management, and future growth, not just immediate fixes.

If this role excites you, but you don’t meet every single requirement, we still encourage you to apply. We value diverse backgrounds and perspectives and believe that great people grow into great roles.

Why you’ll enjoy working here?

• Competitive salary aligned with your experience and expertise, ranging from €3,100 to €4,500 gross per month.
• Wellbeing support, including sports compensation or additional health insurance.
• Extra vacation days starting from your third year with us.
• 6-week paid sabbatical after four years at Inbank for employees with strong performance.
• A challenging and inspiring environment where you can grow professionally and take ownership of your work.
• International collaboration with talented colleagues across multiple markets.
• Dedicated learning and development budget to support your professional growth and help you stay ahead.
• Fun and connection through company-wide and team events that bring people together.
• A modern, pet-friendly office in Vilnius, designed for comfort, collaboration, and productivity.

Sounds like a fit?

Apply and our recruitment team will be in touch. If you’re unsure but curious, apply anyway — we’re happy to explore together.

ABOUT THE ROLE
Here’s what you’ll be doing:

• Create and cultivate deep business relationships with the biggest producers, creators, venues and key stakeholders in the entertainment industry.
• Develop and deliver a growth strategy for the market, with an innovative and effective approach to scaling Fever's presence in the region
• Expertly manage commercial strategy with large partners ensuring value creation for both parties, and a sustainable strategic partnership between Fever and event organisers
• Evidence strong organizational skills to effectively balance and grow a large base of clients 
• Collaborate closely with cross functional stakeholders to successfully deliver on partner growth across Lithuania and internationally
• Keep up to date with everything cool that’s happening in the entertainment; think of yourself as the expert for new and trending experiences

ABOUT YOU
Here’s what you should bring to the table:

• At least 4+ years of top tier consulting or equivalent experience, with ideally an additional 4+ years of experience in relevant sectors (e.g. corporate management, tech companies, sport / music / arts)
• Strong business development and partnership management skills
• Self-starter mentality with an ability to work in a demanding, dynamic start-up environment
• Demonstrated data-driven approach to business and task prioritization
• Excellent communication skills both written and verbal along with strong attention to detail
• Comfort in working with Microsoft Office, Google docs, and a Sales CRM (Sugar CRM is preferred)
• Knowledge of the city’s entertainment, events, and lifestyle trends

BENEFITS & PERKS

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
• Stock Options
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Responsibility from day one and professional and personal growth
• Great work environment with a fun, international team of talented people to work with!

#LI-hybrid #LI-fulltime

The Scale of the Challenge

At Flo we don't just have users, we have a global community. We are the #1 women's health app, in the last month alone, we saw 8.6M new installs and a 2.8M increase in active users.

When millions of people trust you with their most personal health data, security isn't a feature — it's a foundation. We are looking for a Cloud Security Engineer to join Velocity, our Internal Platform team. Your mission is to ensure that every system, pipeline, and tool our engineers rely on is secure by default — so they can ship fast without ever compromising trust.

The Mission: Velocity

The Velocity team exists to eliminate friction. We build and own the foundation everything else runs on: cloud infrastructure, developer tooling, and SRE practices. You will:

• Embed Security Into the Platform: Bake security, compliance, and best practices into the core stack so they're invisible to developers and impossible to skip.
• Automate Everything: Drive security-as-code across infrastructure, CI/CD pipelines, and container lifecycles — making manual gates a thing of the past.

What You Will Do

• Cloud Security Posture: Own and continuously strengthen Flo's AWS security posture using tools like GuardDuty, Inspector, Security Hub, and SSM Patch Manager.
• Container & Supply Chain Security: Harden container image security end-to-end — patch vulnerabilities automatically with Copacetic, sign and verify images with Cosign/Sigstore, and enforce policies at admission with Kyverno.
• Policy as Code: Manage CI/CD security across the organisation using policy-as-code tooling (Kyverno, Checkov), ensuring standards are enforced programmatically.
• Security Observability: Build visibility into security performance by measuring and visualising actionable metrics using tools like Databricks Dashboards or Looker.
• High-Scale Privacy: Support the infrastructure for industry-leading privacy features, such as our TIME-recognised "Anonymous Mode."
• Culture & Thought Leadership: Shape Flo's broader security culture through proactive engagement, documentation, and cross-team collaboration.

What You Bring

• Experience: 7+ years in Infrastructure Security, Cloud Security, or Security Engineering roles.
• Cloud Native Mastery: Deep expertise in AWS security services and best practices is essential.
• Infrastructure as Code: Proficient in Terraform and Terragrunt — you run everything as code.
• Container Security: Strong knowledge of Kubernetes security, image hardening, and admission control.
• Identity & Access: Solid understanding of identity management principles — SSO, OAuth, JWT, SAML.
• Automation Mindset: Comfortable scripting in Python, Bash, or similar to automate security workflows.
• Network Security: Understanding of modern network security principles and their practical application.
• SSDLC: Experience building Secure Software Development Lifecycle phases into engineering workflows.

Bonus Points

• Experience with security monitoring and event correlation systems (IDS/IPS, SIEM, AWS-native tooling).
• Knowledge of Zero Trust Architecture and its implementations (e.g., Cloudflare).
• Familiarity with secret management processes and tools.
• Experience in multi-cloud environments (AWS and preferably GCP).
• Understanding of business continuity principles (BIA, DRP).
• Professional accreditations such as AWS Security Specialty, CKS, or CISSP.

Why Join Flo?

• High Impact: Your work directly protects the health data of millions - Flo is rewriting women's health, and you'll make sure it's done securely.
• Autonomy: We hire experts and empower you to deliver.
• Cutting-Edge Stack: Work with modern security tooling (GuardDuty, Kyverno, Cosign, Elastic Cloud Security) deployed on real production infrastructure at massive scale.