Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Security Risk team is responsible for how Anthropic identifies, prioritizes, and drives treatment of its most important security risks. We are rebuilding risk management to operate as an engineering function through automation and AI-native platforms to enable decision making. The systems we assess span Anthropic’s full security landscape, from authorization primitives to cryptographic foundations, so the team needs breadth across domains and the ability to go deep in any of them. Security Risk, in deep partnership with Security Engineering, will help define the security program to shape how both engineers and non-engineers build and ship software.
The conventional GRC playbook was not built for a company shipping frontier AI. You will help define what replaces it, with a direct line to CISO-level decisions and the mandate to build the AI-native platform underneath. You’ll work across a breadth of areas from identity and secrets management to infrastructure security, with your focus shaped by your strengths, ability to learn quickly, and the team’s priorities. This is largely greenfield work, and you will help define the architecture and discipline.
Key responsibilities
Take ownership of Anthropic’s most complex security risk problems and drive them end to end with minimal oversight, turning ambiguous signals into a defensible view of severity and likelihood and seeing them through escalation, treatment decisions, and remediation
Build the systems that make risk measurable and let risk work scale, including quantification tooling, automated intake and triage, and the observability that partner teams use to understand their own risk posture
Work alongside Security Engineering as a calibrated technical peer who pressure tests architectures and treatment plans, translates findings into prioritized remediation roadmaps, and makes the investment case for what to fix now, what to accept and track, and what to defer
Mentor engineers and risk practitioners across Security and the broader engineering organization, and help build a risk engineering culture in which teams own their risks and our team provides the visibility and judgment that supports the
Security risk engineering
Work across the breadth of Anthropic’s security landscape, spanning areas like identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks, and build the context needed to reason about risk credibly in each
Go deep where a risk demands it, understanding how these systems are built and how they fail so that assessments and treatment plans reflect engineering reality rather than abstraction
Risk assessment and quantification
Identify systematic risks through threat modeling and structured assessment, then drive the severity calibration and escalation conversations that follow, bringing leadership a defensible position and a clear recommendation that holds up under pointed questions
Contribute to the team’s quantitative risk work, applying methods such as calibrated estimation and Monte Carlo simulation where they meaningfully change a resource or treatment decision
Risk platform and automation
Design and build AI-native risk tooling that uses Claude to classify incoming risks, augment triage, and continuously sense changes in our risk landscape as teams ship
Create the dashboards and data pipelines that give engineering and product teams real-time visibility into their risk posture and make distributed ownership of risk practical
Remediation strategy and investment
Partner with Security Engineering and risk owners to design remediation roadmaps that are explicit about sequencing, ownership, and the investment required
Measure outcomes rather than activity, focusing on decisions made and risk reduced
Minimum qualifications
At least 8 years of software engineering or security engineering experience, including leading and remediating complex security risks independently
Bachelor’s degree in a related field or equivalent experience
Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++
Broad knowledge across the core security engineering domains, with depth in at least one, including identity and secrets management, developer security and supply chain, infrastructure and cloud security, and secure frameworks
Calibrated risk judgment, meaning you can put a defensible severity and likelihood on an ambiguous problem and change your position when the evidence changes
Experience leading cross-functional security initiatives and navigating complex organizational dynamics
Outstanding communication skills, translating technical concepts effectively across all levels of the organization
A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution
Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams
Passion for AI safety and the role security and risk management play in building trustworthy AI systems
Preferred qualifications
Owned a named security risk and driven it from discovery through remediation across multiple teams
Briefed executives on risk decisions and defended accept, remediate, or transfer recommendations under challenge
Built security automation, detection, or risk platforms adopted across an engineering organization
Shipped LLM or agent-powered tooling and workflows that automate security or risk activities
A security engineering, detection engineering, or offensive security background with a risk-based prioritization mindset
Built or operated a quantified security risk program (FAIR-style decomposition, Monte Carlo simulation, loss exceedance analysis) whose outputs changed real resource decisions
Enough familiarity with SOC 2, ISO 27001, or FedRAMP to know what compliance does and does not buy you
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: One Kattameya, Cairo
Workplace: onsite
We are hiring a Senior Data Scientist to join our team at Klivvr.
What you'll do:
- Own a domain such as credit, risk, or growth end to end, setting the modeling strategy and being accountable for the systems that result.
- Take on the most ambiguous, highest-stakes problems, including framing what should be built and why before any modeling begins.
- Make and defend the hard technical calls, choosing the simplest approach that solves the problem rather than the most sophisticated one.
- Drive models into production and own their long-term health, performance, and reliability once they're live.
- Set technical direction and standards that other data scientists build on, through design reviews, shared tooling, and engineering practices.
- Mentor data scientists across levels and raise the quality bar for the team's work.
- Translate business strategy into a coherent data science roadmap and communicate tradeoffs clearly to leadership.
To succeed in this role, you'll need to have:
- 5+ years of hands-on data science or applied ML experience, with a track record of owning systems in production end to end.
- Deep proficiency in Python (NumPy, pandas, scikit-learn) and SQL, and strong software engineering fundamentals.
- Strong grounding in statistics, probability, and machine learning, with the judgment to know which method actually fits the problem.
- Experience designing and operating large-scale ML systems on cloud platforms (AWS preferred).
- A demonstrated ability to lead ambiguous, cross-functional initiatives without close guidance.
- Excellent communication skills, including the ability to influence technical and business stakeholders and to make others better through your feedback.
Location: Remote (Canada); Toronto, Canada
Workplace: Remote
BUILD SOMETHING PEOPLE LOVE
Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.
We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers.
About the team
The Data Science team at Wealthsimple consists of data scientists with diverse educational backgrounds such as physics, computer science, engineering and business. The Sales Data team is responsible for supporting the entire Commercial team through data modeling, pipelining, dashboarding, experimentation, analyses, and machine learning models. Our stakeholder teams are diverse, including Financial Planners & Advisors, Business Development Representatives, Revenue Operations and Commercial Systems. We build data solutions that directly optimize the sales process, improve lead scoring and routing, boost lifecycle marketing and drive revenue growth for Wealthsimple’s core metrics.
We are looking for a Data Scientist with strong foundational skills in both data engineering and applied data science. In this role, you will act as a generalist bridging the gap between data architecture and applied science. You will take ownership of stakeholder relationships while designing, building, and maintaining robust data models and pipelines to scale our Commercial operations.
In this role, you will have the opportunity to:
- Design, build, and maintain accurate, reliable data pipelines and commercial data marts using modern tools like dbt and Airflow.
- Balance technical execution roughly 50/50 between data engineering/pipelining and applied data science/analytics.
- Optimize commercial operations by enhancing lead generation, lead routing, and sales efficiency using sparse or multi-modal data sources.
- Develop, implement, and maintain metrics, dashboards, and predictive models that directly impact top-line business goals.
- Manage direct relationships with business stakeholders across Sales Operations, Commercial Leadership, Revenue Operations, and Product.
- Conduct exploratory analyses and design experiments (e.g., A/B testing) to test hypotheses and improve go-to-market strategies.
- Collaborate closely with teammates to raise data quality standards, share knowledge, and improve core data architecture.
What you bring:
- 2–4 years of experience in a Data Science, Decision Science, or Analytics Engineering role.
- Strong proficiency in SQL & Python, with hands-on experience building and maintaining data pipelines using tools like dbt and Airflow.
- Data Engineering Aptitude: Comfortable working with data architecture, designing clean data models, and managing data pipeline flows.
- Stakeholder Relationship Building: Ability to communicate technical findings, build trust, and align priorities with business stakeholders independently.
- Applied Statistics & ML Foundations: Practical understanding of foundational statistical concepts, experimentation (A/B testing), and machine learning techniques applied to real-world business problems.
- Comfort working with messy, sparse, or unstructured datasets to extract actionable insights about client behavior and sales processes.
WHY WEALTHSIMPLE?
🌸 Top-tier health benefits and life insurance
📈 Long-term group savings with employer match, through Wealthsimple for Business
🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year*
✈️ 90 days away: work outside Canada for up to 90 days per year*
👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS
🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.
*Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.
ICYMI
Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.
Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.
AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.
Требования:
- Базовые знания Python, JavaScript/TypeScript, Dart, Kotlin или Swift
- Понимание ООП, алгоритмов и структур данных
- Знакомство с Git и желание учиться
- Умение гуглить и задавать вопросы
- Базовый технический английский
Обязанности:
- Разработка функционала веб/мобильного приложения
- Написание чистого кода на Python/Node.js, React/Vue.js или Flutter/React Native
- Участие в код-ревью и написание unit-тестов
- Взаимодействие с дизайнерами и продакт-менеджерами
Условия:
- Оплачиваемая стажировка и менторство
- Работа над боевыми задачами без "кофе"
- Возможность остаться в компании после стажировки
- Гибкий график и частичная удаленка
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the team
The Legal, Compliance & Finance Data Team builds the data infrastructure powering OKX's compliance operations globally — TMS, KYC/EDD, CMS, and regulatory reporting across 100+ markets. The compliance data domain is broad but learnable. We expect senior engineers to build deep domain knowledge quickly using AI tooling and structured onboarding.
About the role
We are looking for a Senior Data Engineer to work as a core execution partner to our Compliance Projects. This is a hands-on technical role with real domain ownership — you will own sub-domains end-to-end, not just execute tickets. Strong performance creates a direct route toward the Compliance domain's technical leadership layer as the team scales.
Responsibilities:
Pipeline Ownership:
Own end-to-end pipelines from ODS ingestion through CDM to downstream marts serving TMS, KYC, CMS, and regulatory reporting. Design, build, and maintain production-grade pipelines with reliability, auditability, and regulatory correctness as first-class requirements.
Full-Stack Compliance Coverage:
TMS: transaction monitoring feeds, rule feature engineering, Scila/TME platform data integration, TME/ARS features
KYC/CRR/EDD: KYC refresh pipelines, remediation datasets, CRR scoring features, Worldcheck integration
CMS: case management data, transaction analysis tooling, bulk search, KYB operation data
Regulatory reporting: recurring compliance reports for global and jurisdiction-specific requirements
Data Quality:
Design proactive DQC checks into pipelines. Own monitoring and reconciliation; build alerting that catches issues before downstream systems or regulators do.
AI-Accelerated Domain Building:
Use AI tooling actively to ramp on compliance domain knowledge. Apply LLM-assisted development to accelerate pipeline development, DQC design, and documentation.
Collaboration:
Work closely with the Compliance Project Lead as a trusted technical partner — take sub-domain ownership to expand his effective bandwidth. Mentor junior engineers as your domain confidence grows.
Requirements:
4+ years in data engineering with strong production pipeline experience (ETL/ELT, SQL, Python, orchestration)
Demonstrated ability to own a data domain end-to-end — business logic, quality, and incident handling
Strong data modelling skills for compliance or financial data (auditability, lineage, immutability)
Fast domain learner with evidence — can point to a time they ramped up in an unfamiliar domain quickly, ideally using AI tooling
Comfortable working in ambiguity: turns underspecified compliance requirements into scoped engineering tasks
Preferred Qualifications:
Experience in compliance, AML, KYC, transaction monitoring, or financial crime data domains
Background in crypto, fintech, or regulated financial services
Familiarity with Scila, Unit21, World-Check, or equivalent TMS/CMS platforms
AI/LLM tooling applied to data engineering in practice — concrete examples preferred
Perks & Benefits:
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the team
The Finance Data Team is responsible for the data infrastructure that powers OKX's compliance, regulatory, and financial reporting operations globally. Our Finance Data domain covers everything from raw transaction ingestion to consolidated group financials — supporting statutory reporting, board-level financials, and audit readiness across 100+ markets.
This is a team that treats data correctness as a non-negotiable. We operate at the intersection of engineering rigour, financial domain knowledge, and regulatory accountability.
About the role
We are looking for a
Staff Data Engineer
to be the technical anchor for Finance Data at OKX. You will define how Finance data is architected, validated, and delivered, and set the standard for how the team operates in an AI-native way.
You will work directly with Finance, Accounting, and Treasury stakeholders to ensure that financial data is complete, reconciled, traceable, and audit-ready. You will also be the domain's primary escalation point and the technical voice of Finance Data within the broader engineering organisation.
This role suits someone who has operated as a de facto domain lead before — someone who has built financial data systems that have been reviewed by auditors, regulators and who knows what "good" looks like in a regulated financial data environment.
Responsibilities:
Domain Architecture & Technical Direction
Own the end-to-end Finance data architecture: from ODS ingestion through CDM transformation to reporting mart, with clear data lineage documented at every layer
Define and enforce data modelling standards for Finance: period cut-off immutability, multi-entity consolidation logic, revenue recognition alignment, and audit trail completeness
Lead the design of scalable pipelines supporting trading data, asset positions, P&L, and cost accounting across multiple legal entities and jurisdictions (SG, EU, US, and others)
Make architectural decisions independently and articulate trade-offs clearly to both engineering peers and non-technical Finance stakeholders
Financial Reporting & Audit Readiness
Partner with Accounting, Finance PMO, and Treasury to deliver datasets for month-end close, statutory reporting, and board-level financials on time and to audit standard
Ensure every financial figure is traceable back to the source system with full transformation history — no black boxes
Build the data foundation that supports OKX's regulatory reporting obligations and long-term financial reporting maturity
Data Quality & Controls
Design proactive, self-validating DQC frameworks — reconciliation logic, SLA monitoring, and anomaly detection built into pipelines, not bolted on after incidents
Own incident response for Finance-critical pipeline failures; conduct structured post-mortems and drive permanent fixes
Define "done" for financial correctness in partnership with Accounting; hold the line on data quality standards even under delivery pressure
AI-Native Finance Data
Lead the team's adoption of AI-assisted engineering: LLM-assisted development, automated anomaly detection, intelligent reconciliation, AI-generated reporting summaries
Evaluate and introduce AI tooling into Finance data workflows with production evidence — not POC demos
Set the bar for what an AI-native Finance data team looks like, and bring junior engineers along
Technical Leadership & Influence
Be the go-to escalation point for Finance data domain questions across the team
Mentor and grow engineers working in the Finance domain; translate domain complexity into learnable patterns
Represent Finance Data in cross-team architecture discussions, sprint planning, and stakeholder reviews
Document domain knowledge that outlasts any individual — data dictionaries, pipeline specs, onboarding guides
Requirements:
6+ years
in data engineering, with at least
3 years owning a Finance, Accounting, or financial reporting data domain
end-to-end
Deep understanding of financial data fundamentals: period close and cut-off rules, revenue recognition, multi-entity consolidation, reconciliation, and audit trail requirements
Demonstrated experience building data systems that have been reviewed in a
statutory audit
or
regulatory review
Strong SQL and Python; proven ability to design and maintain complex production pipelines at scale
Experience designing for immutability and lineage — financial data that can be rolled back, re-run, and traced without manual intervention
Track record of operating with significant autonomy: defining requirements from ambiguous stakeholder input, not just executing tickets
Preferred Qualifications:
Experience at a
crypto exchange, fintech, or company that has gone through IPO preparation or public company financial reporting
Familiarity with regulatory reporting requirements across multiple jurisdictions (MAS SG, SEC, FCA, or equivalent)
AI/
LLM
tooling applied to data engineering workflows in production
— concrete examples required; "exploring" does not count
Experience with Spark, Airflow, or equivalent orchestration at scale
Prior experience as a de facto domain lead or tech lead without formal people management title
Background working with Accounting/Controllership teams as a technical counterpart
Perks & Benefits:
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Barcelona, Spain
Workplace: hybrid
Creating the payment platform shoppers love.
Creating the payment platform shoppers love.
We are
SeQura,
a modern, innovative and ambitious fintech company based in sunny Barcelona, born in 2013 with a single goal in mind:
To be the preferred payment platform that helps people buy things they love paying in an instant, transparent, flexible and fairway.
Today
we have more than 4.000 merchants and offer all payment methods; “Pay Now”, “Buy Now Pay Later” or “Divide in 3”. A strong focus to generate a state-of-the-art experience for the consumers has led the company to an NPS rating of 88 by its more than 1 million Shoppers.
This year
we have an amazing opportunity, we are opening new markets such as Southern Europe and Latin America and that is why
We Are Hiring,
our high-performance team has almost 200 people. We enjoy working in a healthy culture that pursues a good balance between personal and professional life and encourages us to keep growing.
Join our team, improve the world with us, collaborate with people's wellness, it's a challenging journey!
Are you looking for an amazing opportunity? Keep reading...
The Opportunity
We are currently seeking a full-time Analyst, Structured Finance & Automation to join our Corporate Finance team — an early-career role sitting at the intersection of structured finance and AI-driven automation. This is a hands-on, execution-focused position ideal for someone in the first years of their career who is eager to learn the mechanics of structured finance while actively building the automated, AI-powered infrastructure that runs it. Reporting directly to the Head of Corporate Finance, you will own both the analytical rigour of our funding facilities and the automation mandate that is reshaping how we operate them.
Day to day, you will support the full execution cycle across SeQura’s funding facilities — transfer of receivables, rebate and concentration-limit monitoring, financial reporting and compliance with facility documents — while actively building the automated workflows that make those processes faster, more reliable and easier to audit. Working closely with senior colleagues, you will contribute to financial modelling for new business lines, help build and review reporting, and validate that every receivable is correctly recognised.
What sets this role apart is its AI mandate. We are looking for someone with a genuine eagerness to automate — getting hands-on with tools such as Claude, ChatGPT and other AI platforms to build automated workflows for controls, reconciliation and reporting, with guidance and support from the wider team on the more complex work. This is your place if you are proactive, hands-on, fluent with data, and excited to help build the automated, AI-driven backbone of a fast-growing fintech. If you are early in your career — including in consulting, advisory or audit — and want to move from advising on the numbers to working with them directly, you will feel right at home.
What we are looking for
• Dynamic and adaptable candidate who thrives in a fast-paced environment and suggests new ideas
• Proactive thinker with a natural ability to communicate effectively with colleagues and clients
• Openness to change and ability to easily adjust to shifting priorities and new challenges
• Strong communicator and skilled listener who responds to the needs of others
• Creative problem-solver who continuously looks for ways to improve processes and procedures
• Comfortable working in a team environment and collaborates effectively with colleagues from different departments
• Critical and analytical thinker who conveys ideas clearly and persuasively
• Confident and assertive, yet empathetic and able to build strong relationships with clients and colleagues
• Able to manage multiple projects and priorities simultaneously while maintaining high quality and attention to detail
• Flexible and adaptable, thriving in an ever-changing business environment
Your personal challenge
In order to help our financial team to grow, you will be focusing on:
Ensure data integrity across the Treasury and Facilities teams — maintaining accurate, complete and aligned data flows as the foundation that supports everything else.
Support the operational and analytical execution across all of SeQura's facilities: transfer of receivables, rebate and concentration-limit monitoring, and monthly financial reporting.
Help implement a single facility-management software platform — a key priority — making sure every legal agreement is faithfully tied to how the facility function actually operates, so contracts, controls and reporting all run from one source of truth.
Ensure every step complies with how each facility is structured in its underlying documents, and validate that all receivables are correctly recognised and reported.
Bridge contracts and code: review the facility agreements to extract the key parameters (interest rates, concentration limits, eligibility criteria) and verify that the same logic and values are correctly implemented in the production systems — so what runs in the platform always reflects what was legally agreed.
Assist with financial modelling for new types of business, and help prepare recurring and ad-hoc reporting.
Help coordinate with the range of stakeholders across the facilities, including lenders and potential equity investors, supporting senior colleagues on these relationships.
Build AI-driven automations — using tools such as Claude, ChatGPT and similar platforms — to streamline controls, reconciliation and reporting workflows, learning and growing this skill set with support from the team.
Support investor due diligence and help prepare presentations for lenders, equity investors and other counterparties.
Collaborate in the preparation and development of investor and corporate-orientated materials, including quarterly earnings releases, investor presentations, Q&A, and other associated materials.
Document processes and map workflows as you go — building a strong, traceable record of how the facility function operates to lay the groundwork for solid governance and internal-audit readiness.
Cluster and maintain these automations in a central, well-documented repository so they work consistently across the finance function.
Performs other responsibilities associated with this position as may be appropriate.
Your first 6 months
We have a clear ramp-up path designed to set you up for success:
• Months 1–2 — Understand the business: get deep into the facilities, the Treasury–Facilities data flows and the underlying facility documents.
• Months 3–4 — Generate small automations: identify repetitive controls and reconciliation steps and start automating them with AI tools.
• Months 5–6 — Automate reporting and consolidate: build out automated reports, support the rollout of a single facility-management software platform, and cluster all your automations into a working, shared repository across the finance function.
Apply with us if you
● A degree in Finance, Economics, Accounting or a related field is welcome, but not required — we care more about how you think and what you can build.
● 1–2 years of experience in finance — or a strong internship track record — with a consulting, transaction advisory or audit background (Big 4 / strategy / advisory) particularly welcome, and a great early-career move for someone switching from consulting into fintech. Experience at another fintech or financial-services company is equally valued. Recent graduates with the right drive are encouraged to apply.
● Proficient in spreadsheets, databases and financial software applications.
● Knowledge of Metabase, Tableau or Power BI will be a plus.
● Exposure to securitisation, structured finance or funding facilities (transfer of receivables, concentration limits, rebates) is highly valued.
● Strong capabilities in attention to detail and the ability to work in a fast-paced environment.
● Good research, quantitative, and analytical skills.
● Strong automation skills — hands-on use of Claude, ChatGPT or any other AI tool to build real workflows, controls and reports, with a genuine drive to push automation further (scripting / Python / SQL a plus).
● Well informed in current financial subjects, accounting, tax laws, money market and business environments.
● Excellent written and verbal communication skills in English.
● Spanish and/or Portuguese would be a plus, given our growth across Southern Europe and Latin America.
● Solid financial-modelling foundations — comfortable building and working in models, with the drive to develop towards owning them.
● A strong instinct for documentation and process mapping — you naturally write things down, map how a workflow runs, and keep a traceable record that supports governance and internal-audit readiness.
● Comfortable reading legal and commercial documents (facility agreements, term sheets) and translating their terms into numbers, controls and code logic.
● Exposure to lender or investor relations — reporting, due-diligence requests and presentation preparation — is a plus.
● High ownership and intellectual rigour, with the integrity to stand behind numbers that lenders, investors and auditors will rely on.
Which are the next steps?
(async) Profile review
Interview with People Team
Assessment
Interview with future Manager
(async) Offer
Why choose SeQura?
Right now we are going through an amazing moment, we are opening new markets such as Southern Europe and LATAM, and that’s why we are looking for ambitious and passionate people who want to join our healthy culture, made up of a high-performance team of about 400 employees.
In
SeQura
we promote an equal opportunity to all, regardless of age, colour, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation or any other characteristic. We love to have an inclusive environment, and respect is above all.
Задачи:
• Сбор, обработка и анализ медицинских, демографических и иных статистических данных по вопросам профилактики поведенческих факторов риска
• Работа с обращениями и запросами органов государственной власти
• Мониторинг реализации целевых показателей федеральных проектов, связанных с поведенческими факторами риска
• Экспертиза и подготовка проектов нормативных правовых актов, отзывов на законопроекты в сфере общественного здоровья
• Подготовка отчетов, аналитических материалов, служебных записок, участие в написание научных статей
• Взаимодействие с другими органами государственной власти
Требования:
• Высшее образование
• Excel, PowerPoint на продвинутом уровне
• Владение статистическими инструментами SPSS / R / Stata / Python как преимущество
• Английский язык на уровне выше среднего
• Интерес к вопросам общественного здоровья
• Развитые аналитические способности
Условия:
• Стабильная официальная заработная плата
• Рабочий день с 9:30 до 18:15 (в пятницу до 17:00)
• Оформление и социальные гарантии в соответствии с ТК РФ
• Возможность быть причастным и влиять на развитие здравоохранения.
Обязанности:
• Свод аналитики по запросу
• Делать выводы по цифрам
• Давать свои предложения по улучшению
Требования:
• Знание Excel (VLOOKUP, условное форматирование, сводные таблицы, power query)
• Google Таблицы (VLOOKUP, IMPORTRANGE)
• SQL (PostgreSQL/MySQL, агрегатные и оконные функции, CTE, подзапросы)
• будет плюсом, Python (pandas, numpy, matplotlib, sqlalchemy, gspread).
• Усидчивость
• Желание разбираться и расти в аналитике
Условия:
• График 5/2 с 09:00 до 18:00
• Удаленный формат работы
• Стабильная выплата ЗП
• Возможность горизонтального и вертикального роста
• Оплачиваемый отпуск
• Финансовые мотивации внутри команды
Задачи:
— разрабатывать RAG-помощника для пользователей «Авито Подработки»;
— автоматизировать работу диспетчеров в «Авито Подработке» с помощью LLM;
— участвовать в создании ассистента для «Авито Подработки».
Требования:
— опыт работы в Data Science / Machine Learning от 3 лет;
— опыт построения RAG;
— опыт построения AI-агентов;
— опыт работы с LLM;
— умение писать поддерживаемый, тестируемый и масштабируемый код на Python;
— опыт внедрения моделей в продакшен;
— умение работать с заказчиками внутри команды и за её пределами.
Задачи:
• стратегическое развитие лаборатории, формирование и управление командой разработчиков и ML-инженеров;
• архитектурное и технологическое руководство, планирование и контроль выполнения проектов;
• взаимодействие с подразделениями компании и продвижение внедрения LLM-технологий.
Требования:
• опыт управления командами (от 3 человек);
• опыт внедрения LLM/RAG систем, глубокое понимание inference, RAG, prompt engineering;
• практический опыт Python, API, Docker, Linux;
• опыт взаимодействия с бизнес-заказчиками.
Условия:
• "белая" заработная плата от 234 000 до вычета: оклад + премия (ежемесячно), в течение года выплачиваются две дополнительные премии (на День связи и премия в конце года);
• официальное трудоустройство согласно ТК РФ, оплачиваемые отпуска и больничные листы;
• график работы в офисе 5/2 с 08:00 до 17:00, в пятницу сокращенный рабочий день;
• место работы: Казань, Николая Ершова 55в;
• оплачиваемый день отдыха в свой День Рождения;
• возможность получать бонусы по программе "Приведи друга" - от 10 000 рублей;
Задачи:
— участвовать в проектировании RAG-архитектуры под B2B-кейсы: помогать выбирать источники данных, настраивать ingestion, chunking, базовые стратегии retrieval (dense/hybrid) под руководством более опытных коллег;
— настраивать LLM/агентов под предметную область: реализовывать промпты, подключать инструменты (tool calling), работать с контекстом и базовой памятью;
— реализовывать POC/POV на данных клиента, проводить итерационные улучшения на основе метрик и обратной связи;
— строить Data Ingestion пайплайны с OCR;
— реализовывать evaluation-пайплайны: генерация тестовых наборов, запуск auto-eval, участие в human-eval;
— считать и анализировать ключевые метрики (accuracy, coverage, latency, user success rate), готовить отчеты для команды;
— участвовать в настройке мониторинга: логирование, базовые алерты, анализ неуспешных кейсов и их фиксы;
— участвовать в интеграции с инфраструктурой (Kubernetes, облако), работать с метриками и логами;
— участвовать в нагрузочном тестировании для оценки скорости инференса и необходимых ресурсов.
Требования:
— опыт работы с Python (pandas, PyTorch/TF, API LLM);
— опыт работы в ML/DS/NLP от двух лет;
— опыт работы с LLM/RAG;
— понимание полного цикла ML-разработки;
— практический опыт работы с RAG: настройка retrieval, работа с embedding-моделями, векторными БД (FAISS, Qdrant, Pinecone и др.);
— понимание базовых техник улучшения качества (reranking, filtering, prompt tuning);
— опыт работы с агентными фреймворками (LangChain / LangGraph / LlamaIndex / ADK и др.);
— базовое понимание agentic-подходов и tool calling;
— опыт prompt engineering и настройки LLM под задачи;
— базовый опыт fine-tuning (или понимание подходов: LoRA, QLora, instruction tuning);
— понимание оптимизации инференса (на уровне использования инструментов: vLLM, quantization и др.);
— опыт работы с популярными ML фреймворками: tranformers, vllm, sglang, pytorch;
— SQL, базовое понимание работы с данными и пайплайнами;
— опыт деплоя сервисов (Docker, FastAPI), базовое понимание Kubernetes/облака;
— навыки логирования, мониторинга и базовых A/B-экспериментов;
— опыт работы с evaluation для ML/LLM (auto-метрики + участие в ручной оценке, LLM-as-Judge).
Location: Remote US
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Manager, Security Operations Center
Location: Remote, US (West Coast)
Compensation Range: $100,000-$125,000 base plus bonus and equity.
This role may be eligible for on-call/call-in pay in addition to base pay
*The initial training period for this position will be Monday-Friday. Following training, the work schedule is subject to change and may include weekend or a 4x10 shift, depending on business requirements*
What You’ll Do:
Huntress is looking for a Security Operations Center Analyst to add to our growing team. In this role, you will get to triage, investigate, respond, and remediate a variety of intrusions on a daily basis. You’ll be surrounded by passionate individuals who are mission-driven to help protect companies around the world from cyberattacks and will have daily opportunities to progress your analyst skillset and accelerate your career growth.
The Huntress Security Operations Center is an elite team of individuals who wake up every day to combat threat actors. You will have daily opportunities to progress your analysis skills while being at the forefront of what’s happening in the wild. If you’re looking to accelerate your career and skills, this is the team for you!
Responsibilities:
Triage, investigate, and respond to alerts coming in from the Huntress platform.
Perform tactical review of EDR telemetry, log sources, and forensic artifacts to determine the root cause of attacks, where possible, and provide remediations needed to remove the threat.
Perform tactical malware analysis as part of investigating and triaging alerts.
Investigate suspicious Microsoft M365 activity and provide remediations.
Assist in escalations from the Product Support team for threat-related and SOC-relevant questions.
Contribute to detection engineering creation and tuning efforts.
Contribute to projects focused on driving better outcomes for our analysts and partners
Contribute to our collaboratively mentored team (we're all here to make each other better!).
What You Bring To The Team:
4+ years of experience in a SOC or Digital Forensics (DFIR) role
Demonstrated experience with Windows, Linux, and MacOS as an attack surface
Demonstrated experience with basic Threat Actor tools and techniques: (MITRE ATT&CK Framework, PowerShell & Command Prompt Terminals, WMIC, Scheduled Tasks, SCM, Windows Domain and host Enumeration Techniques, Basic Lateral Movement Techniques, Basic Persistence Mechanisms, Basic Defense Evasion Techniques, other offensive/Red Team TTPs)
Demonstrated experience with static and dynamic malware analysis concepts
Working knowledge of Windows Administration or Enterprise Domain Administration
Active Directory, Group Policy, Domain Trusts, etc.
Working knowledge of core networking concepts
Common ports/protocols, NAT, Public/Private IPs, VLANs, etc.
Working knowledge of web technologies and concepts
Web servers/applications, OWASP top 10, etc.
Effective communication skills, with the ability to explain complex events to less technical audiences, enabling effective cross-functional collaboration within the SOC and across departments
Dedicated to prioritizing and addressing customer needs and concerns in all decision-making processes
A strong sense of curiosity and a genuine excitement for learning
Preferred Qualifications:
Previous experience in an MSP/MSSP/MDR role
Linux and MacOS investigative experience
Experience with scripting languages (such as PowerShell, Python, Bash, PHP, JavaScript, or Ruby)
Demonstrated experience on platforms such as HackTheBox, TryHackMe, Blue Team Labs Online, etc.
Demonstrated experience with Cloud-based investigations such as M365, Azure, AWS, GCP, etc.
Participation in cybersecurity competitions such as Capture the Flags, the Collegiate Cyber Defense Competition, etc.
Familiarity with MSP tools such as RMMs
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a Senior Autonomy Engineer focused on SLAM & Navigation to join our team. In this role, you will bridge the gap between classical spatial geometry and next-generation AI. You will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real-world environments.
WHAT YOU'LL DO
- Design and scale robust SLAM pipelines that maintain highly accurate localisation and state estimation across dynamic physical spaces.
- Integrate foundation geometry models and modern ML techniques into the localisation loop to enhance traditional spatial tracking, data association, and visual odometry.
- Architect and maintain robust long-term mapping systems that enable robots to autonomously update, manage, and scale spatial maps across changing environments over time.
- Build and scale auto-labeling data pipelines that leverage foundation geometry models to generate high-fidelity spatial ground truth for downstream ML training.
- Bridge classical geometry with deep learning architectures, building hybrid systems that map raw sensor data into globally consistent metric trajectories.
- Deploy and benchmark spatial AI software directly on physical robot hardware, ensuring deterministic, ultra-low latency execution on edge compute.
- Translate cutting-edge spatial AI research into production reality, continuously evaluating breakthroughs in geometric learning to guide our navigation roadmap.
WHAT WE'RE LOOKING FOR
- Deep expertise in classical SLAM and multi-view geometry, including extensive hands-on experience with state estimation, visual/LiDAR odometry, and multi-sensor fusion.
- Experience handling backend map optimization and solving the unique structural challenges associated with long-term mapping in large or changing physical environments.
- Practical experience applying modern ML to geometric problems, with exposure to utilizing or adapting newer foundation geometry models.
- Proven ability to build scalable data pipelines or auto-labeling workflows tailored for geometric and spatial datasets.
- Proficiency in C++ and Python, with a track record of writing clean, highly parallelized, production-grade algorithmic code.
- Hands-on experience deploying navigation systems on physical hardware, with a deep understanding of the practical edge constraints of real-world robotics.
- A research-to-production mindset, capable of tearing through the latest CVPR/ICRA papers and figuring out exactly how to make those models run with bulletproof reliability.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Задачи:
— Улучшать локальные среды разработки, системы сборки и тестовые процессы для повышения опыта разработчиков.
— Оптимизировать процессы CI/CD для увеличения скорости разработки и снижения трений в инженерных командах.
— Разрабатывать инструменты, фреймворки и автоматизацию для упрощения разработки и деплоя кода.
— Сотрудничать с инженерными командами для выявления проблем в рабочих процессах и внедрения лучших практик продуктивности.
— Оценивать новые инструменты и продвигать решения, ориентированные на разработчиков, для повышения инженерного качества.
Требования:
— Степень бакалавра или магистра в области компьютерных наук или эквивалентный практический опыт.
— Опыт работы не менее 3 лет в качестве инженера-программиста с фокусом на системах сборки или внутренних инструментах.
— Подтвержденный опыт разработки и деплоя приложений на C++ и Python.
— Опыт работы с современными системами сборки (CMake, Bazel) и системами контроля версий (Git, devcontainers).
— Владение CI/CD системами, такими как GitHub Actions, GitLab CI, Jenkins или TeamCity.
— Глубокие знания Linux-систем (предпочтительно Ubuntu/Debian) и контейнеризации (Docker).
Плюсы:
— Навыки скриптинга на Python или Bash для автоматизации.
— Знакомство с Infrastructure-as-Code (IaC).
Условия:
— 30 дней оплачиваемого отпуска в год.
— Гибридный формат работы и гибкий график.
— Полная поддержка визы и релокации для международных кандидатов.
— Субсидии на EGYM Wellpass и Deutschlandticket.
— Выгодная программа лизинга велосипедов через JobRad.
— Финансовая поддержка курсов местного языка.
Процесс найма:
— Первичный скрининг.
— До 4 раундов интервью для оценки технических навыков и соответствия культуре компании.
Обязанности:
• Разработка и оптимизация БД на PostgreSQL (индексы, запросы, профилирование)
• Разработка и поддержка backend-сервисов на Python (fastAPI)
• Участие в разработке frontend-приложений (React, React Native)
• Разработка и поддержка интеграций (REST API, внешние сервисы)
• Поддержка и постепенная модернизация legacy-систем (Delphi, Oracle, PHP)
• Диагностика и устранение ошибок и багов
• Деплой и сопровождение приложений (Docker, Kubernetes)
Требования:
• Уверенное владение Python (ООП, асинхронность, работа с декораторами)
• Опыт работы с PostgreSQL (индексы, оптимизация запросов, EXPLAIN ANALYZE)
• Понимание принципов REST API и HTTP
• Опыт разработки и интеграции API
• Опыт работы с GIT
• Опыт работы: от 3 лет
Условия:
• Официальное трудоустройство по ТК РФ с первого дня
• Удобный график 5/2
• Гарантированная зарплата без задержек + премии
• Бесплатный корпоративный транспорт от Казани (11 маршрутов вахтовых автобусов)
• ДМС – бесплатное медобслуживание в лучших клиниках города
• Оплачиваемые отпуск и больничный
• Ежегодный медосмотр
• Корпоративные мероприятия
• Льготная парковка для сотрудников (300 рублей 1 машиноместо/месяц)
Location: Athens; Limassol; Nicosia; Thessaloniki
Workplace: hybrid
The Role:
As the Platform Engineer Team Lead, you will work alongside the department's Manager in coordinating the team’s daily operations while actively contributing to the design, implementation, and continuous improvement of platform infrastructure, CI/CD pipelines, and automation processes.
This role combines hands-on technical expertise with leadership responsibilities, offering the opportunity to mentor team members, drive operational excellence, and help shape scalable, secure, and reliable cloud-native environments.
If you are passionate about DevOps culture, cloud technologies, automation, and leading by example in a collaborative environment, we'd like to hear from you!
The main responsibilities of the position include:
Develop and execute action plans to achieve agreed goals and performance indicators
Recommend and actively promote improvements to DevOps practices, automation patterns, and tooling
Identify automation opportunities and drive implementation initiatives within the Platform Engineering team
Monitor and suggest improvements to the existing CI/CD process to increase speed, safety, and reliability
Coordinate implementation activities within the team and assist in cross-team collaboration when required
Develop, maintain, and enhance existing GitLab CI pipeline libraries
Assist developers with setting up CI/CD for their projects and provide support for any issues that may arise
Stay up to date with the latest tools and trends in the industry and share relevant insights with the wider team
Ensure adherence to best practices across Windows, Linux, and Kubernetes environments and support continuous improvement initiatives
Support knowledge-sharing sessions and educate Application Development Teams on platform standards, tools, and best practices
Work closely with the Security team to remediate vulnerabilities and ensure platform compliance with security standards
Set personal targets for team members and monitor performance
Provide regular feedback, coaching, mentoring, and development support to team members
Encourage collaboration, innovation, and continuous improvement within the team
Help maintain a motivated, engaged, and high-performing team environment
Main requirements:
BSc/MSc in Computer Science, Engineering, or a similar discipline
7+ years’ experience within the following areas: Cloud (AWS), Release Pipeline Management, Windows Server Administration, Linux Administration, Certificate Management, PowerShell scripting, Bash/python scripting, Configuration Management and IAC (Ansible/Terraform), DNS, Networking
Enterprise-level Kubernetes experience
Solid Linux administration skills
Strong leadership, mentoring, and people management skills
Commitment to continuous improvement, with a focus on observability, modern application architecture styles, blue-green/canary deployments, and CI/CD pipeline management
Ability to self-motivate, study, and stay on top of emerging technologies and trends while meeting business deadlines
Excellent communication, organizational, and time management skills
Strong attention to detail and cost awareness
Ability to work effectively in fast-paced environments and deliver high-quality results within tight deadlines
Experience with tools including: Istio, Prometheus, Grafana, ELK, MSK, New Relic
The following will be considered an advantage:
Familiarity with database concepts
Working experience with at least one cloud provider (preferably AWS)
Experience with Apache Kafka configuration and troubleshooting
Experience with ELK configuration and troubleshooting
Experience mentoring or coaching technical teams
Scripting skills (Bash, PowerShell, Python, Go, etc.)
Benefit from:
Attractive remuneration package plus performance related reward
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Show Your Skills – Online Technical Challenge
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
