Python Backend Engineer Jobs

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The position of Lead Applied Value Engineer is a trusted advisor helping customers achieve their strategic goals and realise significant value using the Celonis Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing. Responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements. The Role: As a Lead Applied Value Engineer for the High Tech industry you are spearheading our mission of data-driven business transformation with our customers. You will work in partnership with the Celonis Sales Team and have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor and help them achieve their strategic goals and realize significant value using the Celonis Process Intelligence Platform. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various proc

CSQ327R30 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the wor

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows, and real-time adaptive behaviors. Run rigorous experimentation and evaluation

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows, and real-time adaptive behaviors. Run rigorous experimentation and evaluation

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows, and real-time adaptive behaviors. Run rigorous experimentation and evaluation

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows, and real-time adaptive behaviors. Run rigorous experimentation and evaluation

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role As a Data Solutions Consultant, you will support some of Addepar’s complex and high-touch client data implementation projects. You’ll design scalable solutions to transform and integrate clients’ portfolio data into Addepar, and build expertise across both technical and business domains. You’ll also be among the first members of the Data Solutions team based in India , helping establish our presence in the region while working closely with colleagues across the U.S., U.K., and other global offices. This is a collaborative role offering the opportunity to shape our operating model locally and strengthen how our global teams deliver together. Beyond client delivery, you’ll also have the opportunity to participate in internal innovation; contributing to automation, tooling, and best practices that enable scale and elevate how we operate globally. This is an individual contributor position for someone who thrives at the intersection of finance, data, and technology, and is excited to make a global impact from India. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Support comple

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We are hiring Machine Learning Engineers across our Consumer Engineering organization, giving you the opportunity to work on a wide range of high-impact problems across the Consumer ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On We are looking for a Staff Machine Learning Engineer to help drive the next generation of Reddit’s ML ecosystem across recommendations, search, messaging, and foundational AI systems. You will lead high-impact initiatives from ideation to production, shaping both technical strategy and product direction across multiple ML domains. This is a highly cross-functional role partnering with Product, Data Science, and Engineering to deliver meaningful user and business impact. This role sits at the intersection of: Relevance & recommendation systems (content, search, notifications) AI-powered discove

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure. The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards. This role can be based out of our Dublin office, or work fully remotely in Ireland. Responsibilities: Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.) Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services Qualifications: You might be a great fit if you match some of the following: 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes A deep understanding of Linux and networking concepts,

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure. The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards. This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours. Responsibilities: Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.) Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services Qualifications: You might be a great fit if you match some of the following: 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations

Integra FEC is hiring entrepreneurial and quantitatively skilled graduates with a background in economics and mathematics who are interested in applying their skills to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that works with government agencies and private entities to analyze complicated and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Main responsibilities include: Working as a data detective to examine potentially fraudulent patterns Conducting qualitative and quantitative research to identify opportunities to detect fraud and identify fraud detection methods Building, cleaning, compiling and analyzing datasets to find insights and fraud patterns using econometrics, statistics and other forms of analyses Building scripts, algorithms and code to process and analyze large datasets effectively and efficiently Presenting findings to technical and non-technical audiences Job Qualifications: PhD in Economics required, with Finance and Mathematics background a plus Familiarity with Python, SQL, R, or other scripting languages Proficiency in Microsoft Excel Attention to detail with big-picture understanding Ability to work well in teams Highest ethical standards. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. About TEGNA TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across the web, mobile apps, streaming, and linear television. Together, we are building a sustainable future for local news. Data Scientist TEGNA is seeking a highly skilled, innovative, and analytical Data Scientist to lead end-to-end development of advanced models and insights across our multi-platform media ecosystem spanning TV, digital, streaming, social, and mobile. This role is central to transforming large-scale viewership, content, and sales datasets into predictive models, optimization frameworks, and actionable insights that support content strategy, personalization, audience growth, and revenue performance. The ideal candidate is passionate about experimentation, machine learning, and building scalable data and ML solutions. You will collaborate with engineering,product, editorial, sales, and analytics teams to translate complex, ambiguous business challenges into measurable, data-driven outcomes. What You’ll Do Lead the full data science lifecycle: problem framing, hypothesis development, feature engineering, model development, validation, and deployment planning. Develop and operationalize machine learning models across forecasting, personalization, c

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. Hybrid Cloud Engineer Position Overview TEGNA is looking for a Hybrid Cloud Engineer to join the dynamic engineering team. The TEGNA IT Infrastructure team represents a wide range of technologies and competencies. Working in tandem with peers, other teams, departments, business units and outside vendors, the team assists in the evaluation, implementation, and support of technology solutions toward business objectives. The analyst in this position will contribute to the design, implementation, and support of on premise and cloud components to core business applications and will participate in migrations to multiple public cloud platforms. As part of a team, the candidate will build, maintain, support technical systems and applications for business at data centres, cloud, and television stations. This requires comprehensive knowledge of server, storage, cloud, and networking components required to maintain the business. What You’ll Do Design, implement and maintain server and storage components for on-premises and public cloud. Working with technical and non-technical internal customers, provide in-depth consultation and communication for technology solutions. Lead the design, building, testing, documentation and implementation of systems management practices associated with AWS

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Workforce Identity Cloud Okta Workforce Identity Cloud (WIC) provides easy, secure access for your workforce so you can focus on other strategic priorities—like reducing costs, and doing more for your customers. If you like to be challenged and have a passion for solving large-scale automation, testing, and tuning problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new concepts and tools. Position Overview: The Site Reliability Engineer (SRE) will play a key role in building and managing Kubernetes platforms that support cloud-native applications and services. This position focuses on architecting and managing reliable, scalable, and secure Kubernetes-based platforms on AWS, ensuring high availability and performance while optimizing costs and automation. The ideal candidate will have hands-on experience with AWS infrastructure, Kubernetes platform creation, Helm charts, Karpenter scaling, and Istio service mesh. Key Responsibilities: Kubernetes Platform Creation: Design, implement, and maintain highly available, scalable, and fault-tolerant Kubernetes platforms. Ensure clusters are optimized for production workloads, providing high resilience and operational efficiency. AWS Infrastructure Management: Build, manage, and optimize AWS cloud infrastructure, including EKS,ECS, S3, VPCs, RDS, IAM, and more. Implement b

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities: Reliability Test Flow Development: Define and develop reliability stress, test flows and test plans to cover all Product Reliability aspects. Reliability Test Plan and Execution: Work closely with Global Quality team to define qualification plan, review and manage the qualification execution progress, and drive for qualification gating issue resolution. DPM reduction : Drive down and achieving Extrinsic Reliability (Time 0 and Field DPM) and Intrinsic Reliability through Optimized Manufacturing Test Flows and Test Strategy to meet critical KPI’s Quality, Cost and Cycle Time Root Cause and Resolution of Qual and RMA Device Issues pertaining to defectivity and intrinsic reliability: Debug and identify root cause and failures in reliability tests by electric failure analysis(EFA) and Physical Failure Analysis (PFA) and drive for resolution and improvements through cross functional team collaboration. Process Conversions and HVM: The role involves providing recommendation to fab teams for new process conversions to reduce cost, increase yields. This is critical as it directly impacts the yield, quality, reliability, and performance of HBM products,