Senior Application Security Engineer

Nearform

Senior Python Software Engineer (Contract, Poland, Remote) This is a full time remote contract opportunity for those based in Poland. About Nearform Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact. Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI. Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.   As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products. Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems. The Role As a Senior Python Developer at Nearform your main task will be designing & building applications using Python. However, as you’ll likely work on a variety of projects your responsibilities may also include: * Supporting component design, development and maintenance and taking responsibility for personal technical quality standards within the project team. * Assisting with defining structured practices, especially in source code management, building and deployment. * Contributing to Nearform tooling and open-source projects. * Designing and implementing data storage solutions. * Optimising performance in applications for maximum speed and scalability. * Using appropriate tools to maintain version control and build processes. * Getting feedback from users and clients, and building solutions for them.  * Assisting with the analysis of client requirements. * Working with and supporting the Delivery Architect (team lead) in project execution and timely delivery. * Collaborating with client teams. What we are looking for in this person * Significant experience delivering at a Senior Developer level in an enterprise environment. * Practical experience of delivering in an agile environment. * Practical experience of knowledge of developing real-world solutions and platforms. * Deep understanding of Python. * Deep understanding of SQL Databases (PostgreSQL is preferred). * Experience with LangChain, AutoGen, or similar frameworks for multi-agent systems. * Deep understanding of versioning control tools - Git in particular. * Good understanding of security and performance considerations. * Understanding of layout aesthetics, responsive design and mobile web development. * Understanding of architectural and design patterns. * General familiarity with a wide variety of open-source technologies and tools. * Excellent analytical and multitasking skills. * Excellent communication and collaboration skills. * Professional proficiency in English. Nice to have * * Experience in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). * Knowledge of Data Science techniques, including data preprocessing, feature engineering, and model evaluation. Our Interview Process 1. 1. Talent Call (30 mins via Zoom) An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals. We'll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment. ---------------------------------------------------------------------------------------------------------------------------------- 2. Technical Assessment (1 hour via Zoom) A live coding challenge with one of our trained interviewers. You'll be asked to build a working solution to a problem via screen sharing, demonstrating your Python expertise, problem-solving ability, and coding best practices in a real-time environment. ---------------------------------------------------------------------------------------------------------------------------------- 3. Hiring Manager Interview (45 mins via Zoom) A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join. There may also be an additional interview with the client depending on the project   READY TO JOIN US? If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you. Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning. Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence.  If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.

Peloton

SENIOR SOFTWARE ENGINEER, DATA FOUNDATIONS ABOUT THE ROLE At Peloton, we treat Data as a Product - a critical asset that powers every member interaction and business decision. The Datastores team’s mission is to provide a reliable, secure, highly available, and highly performant data persistence layer for application services across the company. Our guiding principles: 1. Protect the data, 2. Optimize for scale, speed, and reliability, 3. Eliminate toil. We are looking for a Senior Software Engineer with deep experience building and operating data-intensive systems to join our Datastores team. This role is ideal for a backend engineer who has built and operated production systems that rely heavily on databases, caching layers, and data pipelines, and who is excited to deepen their expertise in scalable, cloud-native data infrastructure. You will work at the intersection of application engineering and data platform reliability - partnering with service teams to improve how data is stored, accessed, scaled, and observed across Peloton’s ecosystem. YOUR DAILY IMPACT AT PELOTON You will: * Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. * Partner with service teams to improve database design, query performance, and data modeling. * Contribute to automation around infrastructure provisioning using tools like Terraform and Backstage. Improve developer experience by building self-service tooling for databases and caching systems. * Work on observability, performance insights, and autoscaling strategies for production datastores. * Contribute to architectural decisions around multi-regional data persistence and global scalability. This role combines hands-on backend engineering with deep exposure to cloud data systems and platform reliability challenges. WHAT YOU BRING We’re looking for strong backend engineers who are “data-aligned” — meaning you’ve built systems where data performance, reliability, and modeling mattered. * 5+ years of software engineering experience building production backend systems. * Strong experience with relational databases such as PostgreSQL or MySQL, including schema design, indexing, and query optimization. * Experience working with NoSQL datastores such as DynamoDB, Redis, Elasticsearch, or Memcache. * Exposure to data pipelines, event-driven architectures, or systems that interface with streaming or batch processing frameworks. * Experience operating services in cloud environments (preferably AWS). * A strong understanding of distributed systems fundamentals: latency, consistency models, replication, and scaling strategies. * Experience running or tuning PostgreSQL or Aurora in production. * Experience with multi-region architectures. * Exposure to observability tooling (metrics, tracing, query insights). WHO YOU ARE * You think about data integrity first. * You care about performance and understand that small database decisions can have large system-wide impact. * You enjoy reducing manual toil through automation. * You collaborate well with application engineers and platform teams. * You want to grow deeper into database reliability, scalability, and cloud-native data systems.     ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com. At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.  Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions. Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address.  If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence. Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.

Tripadvisor

About Tripadvisor We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively revolutionize travel and together find the good out there. Tripadvisor is the world’s largest online travel site, visited by 390 million travellers each month, and our Experiences business, Viator, is a fast-evolving and highly data-driven part of the organisation. At Viator, data is at the heart of how we build great products. We use it to understand our customers, improve decision-making, and drive measurable business impact.   About the role: As a Senior Manager of Product Data Science, you will be a key leadership figure within the Product Data Science organisation, responsible for building and scaling a high-performing team of Analysts and Data Scientists embedded within Product domains. You will not only deliver impact through your team, but also raise the overall analytical and technical bar of the organisation, ensuring data science, experimentation, and product analytics are consistently applied at a high standard across multiple product areas. You will act as a force multiplier for decision-making quality, improving how Product, Engineering, Design, and Commercial teams use data to shape strategy, prioritise work, and evaluate impact. What You’ll Do  * Lead, develop, and grow a team of Product Analysts and/or Data Scientists, ensuring consistently high performance, strong technical standards, and clear ownership of impact. * Drive effective goal-setting, planning and execution processes across Product Data Science, bringing leadership and discipline to OKRs, prioritisation and delivery against strategic objectives.  * Set and continuously raise the bar for analytical quality, experimentation rigour, and data science application across your teams, ensuring outputs are robust, actionable, and decision-oriented. * Act as a senior technical and strategic leader, reviewing and shaping high-impact analytical work, experimentation design, and advanced modelling approaches where required. * Partner closely with senior Product, Engineering, Marketing, and Commercial leaders to define priorities, shape roadmaps, and ensure data science is embedded in strategic decision-making. * Translate ambiguous business problems into structured analytical and data science problems, ensuring your team delivers clear, commercially meaningful recommendations. * Drive adoption of scalable analytical frameworks, experimentation standards, and AI-enabled tooling to improve efficiency, consistency, and speed of decision-making across teams. * Champion best practices in experimentation, causal inference, segmentation, and customer understanding, ensuring statistical and analytical rigor across the organisation. * Build and maintain strong partnerships with Data Platform, Data Engineering and other central data functions, ensuring the team can effectively leverage shared capabilities while influencing the long-term data ecosystem.  * Build and evolve the team’s capability through hiring, coaching, and performance management, ensuring strong technical depth and leadership within the function. * Identify and remove systemic blockers to high-quality analytics delivery, improving tooling, processes, ways of working and organisational effectiveness across Product Data Science while leading change that enables the team to scale.  * Influence and align cross-functional stakeholders across multiple product domains, ensuring clarity, prioritisation, and strong decision-making discipline.   Skills & Experience  * Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. * Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering).  * Product Acumen: Demonstrated ability to define, implement, and operationalise crucial product and feature-level metrics from scratch.  * Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design).  * Scaling Impact: Experience scaling analytics or data science capabilities, driving impact through the creation of automated processes, self-service tools, or data products.  * Critical Thinking: Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation.  * Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists.  * Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels.  * Cross-Functional Partnership: Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform and other central functions, often without direct authority.  * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.    You could be an especially great fit if you have: * Experience working within a high-scale technology company, marketplace, e-commerce business, or travel technology organisation. * A strong technical background in Product Data Science, Data Science, Experimentation, or Machine Learning before moving into leadership roles. * Experience building and scaling experimentation platforms, measurement frameworks, self-service capabilities, or data products. * Experience applying AI, Large Language Models (LLMs), Agentic AI, or automation technologies to improve analytics productivity and decision-making effectiveness. * Experience leading organisational change, improving analytical maturity, and raising standards across multiple teams or functions. * A reputation for raising the standard of thinking, execution, and decision-making in every team and organisation you join.       #LI-Remote #LI-SM1         #LI-Hybrid #LI-SM1