Senior Engineering Lead Jobs

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is seeking a Senior Software Engineer to join the Card Acquisition team within the Consumer org. The team plays a critical role in shaping the first experience customers have with Affirm—building trust, clarity, and value from the very first interaction. As a Senior Engineer, you will be responsible for defining long-term technical strategy, mentoring senior engineers, and acting as a force multiplier through your technical depth, operational excellence, and ability to navigate ambiguity. You'll work at the intersection of product, design, and engineering to build polished, performant, and accessible user experiences that directly impact conversion, retention, and business growth. What You'll Do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support peers and stakeholders in the product development lifecycle by collaborating with product management, design, and analytics, participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership by setting or improving code review and design standards for your team, and advocating for them beyond your team through writing and tech talks. You will help develop talent on your team by providing feedba

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is seeking a Senior Software Engineer to join the Card Acquisition team within the Consumer org. The team plays a critical role in shaping the first experience customers have with Affirm—building trust, clarity, and value from the very first interaction. As a Senior Engineer, you will be responsible for defining long-term technical strategy, mentoring senior engineers, and acting as a force multiplier through your technical depth, operational excellence, and ability to navigate ambiguity. You'll work at the intersection of product, design, and engineering to build polished, performant, and accessible user experiences that directly impact conversion, retention, and business growth. What You'll Do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support peers and stakeholders in the product development lifecycle by collaborating with product management, design, and analytics, participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership by setting or improving code review and design standards for your team, and advocating for them beyond your team through writing and tech talks. You will help develop talent on your team by providing feedba

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are reinventing credit cards in the most transparent way possible. We are working directly with card issuers to change how credit is used throughout the world, creating new types of cards that work for both their everyday lives and large purchases with extremely straightforward, flexible terms. You'll work across stacks and across the company, working both in just-in-time transaction processing that has to take place in milliseconds, along with our ledgering and reconciliation systems in post-transaction processing. This is some of the more difficult, exciting, experimental engineering work in Affirm. Join us and our team in Spain and Poland to help us revolutionize payments! What You'll Do · You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and

SPECIFIC JOB RESPONSIBILITIES Pipeline Management: Maintain high-throughput streaming pipelines to ingest logs from various sources (Firewalls, Cloud, Endpoints) to a central destination. Log Normalization: Write parsers to convert raw, messy logs into standard schemas (e.g., OCSF or ECS) for consistent querying. Cost Optimization: Implement routing logic to send "high-value" data to the SIEM and "bulk" data to low-cost Object Storage (Data Lake). Data Preparation: Clean and structure data to enable AI/ML detection models and advanced analytics. EXPERIENCE REQUIRED Data Engineering: Proficiency in Python (for ETL) and SQL (for complex querying). Streaming Tech: Experience with Message Queues (e.g., Kafka, Pub/Sub) and stream processing concepts. Log Handling: Mastery of Regex and log parsing strategies for standard formats (Syslog, CEF, JSON). Storage Architecture: Understanding of Data Lake principles (Parquet/Avro formats) vs. Data Warehouses. QUALIFICATIONS, SKILLS, & KNOWLEDGE Experience with Vector Databases for storing embeddings. Knowledge of Log Observability/Routing tools (middleware that routes logs). Familiarity with Big Data frameworks (e.g., Spark, Flink). PROFESSIONAL DEVELOPMENT EXPECTATIONS Ability to embrace Clearwater's CLEAR core values (Commitment to Client Success, Lead with Accountability, Integrity & Collaboration, Excellence in All That We Do, Advance Colleague Success, Respect & Transparency) and culture. The base salary range for this role is 35,000- 45,000]. Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy includes flexible paid time off, 11 paid holidays, and paid sick time. Total compensation, including base salary to be offered, will depend on elem

Must be based in Vancouver The role We're hiring a dedicated data engineer to own the production data platform that our delivery, product, and engineering teams run on; designing integrated, governed data pipelines and delivering automated reporting, AI-assisted workflows, and predictive signals on top of them. You'll write production code, design systems, own CI/CD, and be accountable for the correctness of data that leaders make decisions on. What you'll do Design and operate our cloud data platform: ingestion, transformation, orchestration and serving. Integrate data from across the business (delivery tooling, CRM, product telemetry, finance, support and customer feedback systems) with shared identifiers, data contracts and lineage. Build automated and continuously refreshed reporting so teams manage by exception rather than chasing status. Connect approved AI agents to governed data with structured outputs, provenance, guardrails and human approval in the loop. Build feature pipelines and the MLOps controls behind predictive use cases: tests, versioning, promotion gates and drift monitoring. Own the engineering standards for data: testing, observability, environment promotion, PII classification and access control. What you'll bring Strong software engineering fundamentals: production-quality code, API and interface design, testing discipline, systems design. Real experience building and operating production data platforms on a cloud warehouse or lakehouse (Snowflake and AWS preferred) with dbt and a modern orchestrator. Practical AI tooling experience: something shipped, not prototyped. LLM-backed classification, extraction or structured-output pipelines; agent and tool-calling workflows; retrieval; evals. You can reaso

About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems (AIS) is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. AIS spans multiple workstreams — agent evaluation and oversight, orchestration and tool-use infrastructure, model and systems optimization, and applied research on new agent capabilities — and this role is not scoped to any single one of them. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Staff Machine Learning Research Engineer, you will operate across the full breadth of AIS’s technical needs — wherever the hardest ML problem in agentic AI happens to be that quarter. This could mean training and fine-tuning models, designing evaluation and observability systems, building improvement loops from production data, prototyping novel agent architectures, or designing internal systems and tooling that boost productivity across teams. You’re not tied to one team’s roadmap; you’re expected to move to where the technical leverage is highest, and t

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. Direct the orchestration of asynchronous agent fleets to meet mission requirements. Lead customer engagements to translate mission needs into technical requirements. Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. Conduct technical reviews and identify risks within machine learning infrastructure and model serving. Drive the platform roadmap by providing technical specifications for Federal product offerings. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and contai

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. Today, CLEAR is well-known as a leader in digital and biometric identification, reducing friction for our members wherever an ID check is needed. We’re looking for a Senior Software Engineer to establish our Observability framework and foundations. You will join us to accelerate building and scaling our innovative systems that support our growing identity platform. You will drive on Observability best practices to find and fix gaps in our observability and our overall systems. You will also lead practices such as load testing, capacity planning, game days, chaos testing, and incident post-mortems. What You Will Do: Embed within the Engineering pillar to deeply understand the product and implement observability across all key flows Facilitate and build load testing cases, ensuring we understand the limits and scaling factors of our services and systems Contribute to observability and support the design of new services and systems, ensuring highly reliable and scalable concepts are implemented Build and lead practices such as game days, chaos engineering, and failure analysis Build long-term capacity plans, with an eye toward reliability and cost-efficiency Who You Are: 6+ experience writing production-grade software in a modern language, such as Java and Python. Strong knowledge of distributed systems concepts (think CAP theorem), microservices architecture, and distributed tracing . Experience with modern observability systems such as Datadog. Experience with performance debugging tools and patterns. You should be able to read a f

About the Role: We are looking for a Senior DevOps Engineer to join our DevOps team at K Health. You will own and evolve the infrastructure underpinning a healthcare AI platform serving patients and enterprise health system partners. This is a high-ownership role: you will architect and operate cloud environments across K Health and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. You will also mentor junior engineers and collaborate closely with product and engineering teams across the company. This is a hybrid role based in New York City (4 days/week in office) and includes participation in a daytime on-call rotation. What you will do: Own the design, implementation, and evolution of our GKE-based Kubernetes infrastructure across K Health and enterprise partner environments. Build and maintain our Terraform modular infrastructure library, including reusable modules with automated testing, across GCP, Cloudflare, and AWS. Architect, build, and maintain GitLab CI/CD shared pipeline templates used by all engineering teams (build, test, security scanning, deployment). Own and maintain self-hosted infrastructure software running in-cluster, including GitLab, ArgoCD, Langfuse, DependencyTrack, NGINX Ingress, and others. Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA. Drive disaster recovery readiness: design failover scenarios, author runbooks, and lead periodic DR tests. Lead development of AI-powered operations tooling and agentic infrastructure. Monitor, troubleshoot, and improve production system reliability; respond to incidents during on-call shifts. Mentor junior DevOps engineers and establish team-wide engineering standards. What we are looking for: 5+ years of experience in DevOps, platform engineering,

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior Data Scientist, you will build and own machine learning models that power core prediction problems across the FourKites platform — including ETA/ATA forecasting and message-based status extraction. You will work end-to-end, from data pipeline to production deployment and monitoring, turning noisy real-world logistics data into models that run at scale and directly move the needle on customer outcomes. You will work closely with product, engineering, and operations teams, hands-on building and shipping models yourself while also guiding the technical direction of other data scientists on the team. What you'll be doing: Design, build, and productionize ML models for problems like ETA/ATA prediction, using regression, classification, and time-series forecasting techniques Develop NLP/LLM-based extraction pipelines for message-based ETA and status updates (text extraction, entity recognition) Own models end-to-end: data pipeline → training → deployment → monitoring → retraining Work with noisy, real-world logistics and supply chain data (GPS pings, check calls, carrier data) rather than clean, pre-processed datasets Diagnose gaps between offline evaluation performance and live production accuracy, and drive fixes Build and maintain automated training/retraining pipelines using orchestration tools such as Airflow Set up and maintain model monitoring and observability (e.g., Grafana) to catch drift and degradation proactively Replace manual or rule-based processes with ML-driven automation (e.g., automating manual check calls) Translate model performance improvements into busin

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior AI Engineer, you'll join a 10-person team focused on data integrations (shippers and carriers moving in and out of the FourKites ecosystem) and our active AI agent workstreams — including a support automation agent handling 60-70% of customer tickets, a voice agent that calls carriers to gather and update information, and an end-to-end carrier onboarding agent (email + voice). You'll work on features end to end (~75-80% backend, ~20-25% frontend) using Python, Java/GoLang, agentic frameworks like LangGraph, React, Redis and PostgreSQL. You'll develop products that change the logistics landscape for some of the biggest corporations in the world, and work closely with our US team and customers to shape the future of the industry. What you’ll be doing: Design, build, and productionize AI agents/workflows (e.g., support automation, voice, and onboarding agents) using agentic frameworks such as LangGraph Develop, test, and maintain backend applications in Python and Java or GoLang Write clean, efficient, and well-documented code across the full SDLC — development, QA, and release Design and implement data models and database schemas Collaborate with the frontend team to integrate the backend with the user interface Perform code reviews and ensure code quality standards are met Troubleshoot and debug applications, including AI agent workflows in production Work with the DevOps team to deploy and manage applications in production (Kubernetes) Continuously learn and stay up to date with new technologies and industry trends, particularly in the AI/agentic space About the team: Our

Fospha is dedicated to building the world's most powerful measurement solution for online retail. For over a decade, we've helped teams make smarter decisions with full-funnel marketing insights, forecasting, and optimisation. With Fospha, every team moves faster and grows smarter. Trusted by leading brands across three continents, including Gymshark , Huel and Oh Polly, Fospha manages $4 billion in annual ad spend. We're scaling fast across London, Mumbai, and Austin – and we're now looking for a Senior Software Engineer to join our Team! The Role As a Senior Software Engineer, you'll build the products our customers rely on every day to make multi-million dollar media decisions. You'll work across the full stack - from crafting responsive, intuitive frontend experiences through to designing and scaling the backend microservices that power them - and, given the seniority of this role, you'll also help shape system design and infrastructure decisions as we scale. You'll work alongside engineers, product managers, and AI agents as part of our AI-first operating model, where lean, high-autonomy teams ship fast and learn faster. This is a hands-on engineering role for someone who's comfortable owning a feature end-to-end - from initial design through to production - and who wants to grow their craft in a fast-moving, ambitious environment. Where you'll focus • Frontend development using modern JavaScript frameworks (React.js or Next.js) • Backend development using Python-based microservices • System design and infrastructure, contributing to architectural decisions as we scale • End-to-end feature ownership across the stack • (Nice-to-have) Exposure to Data Science / Data Engineering workflows Key Responsibilities • Design, build, and maintain full stack features - from frontend UI/UX through to backend services and APIs in Python. • Contribute to system design and infrastructure decisions, helping evolve our

Shape the Future of Financial Services with Capco At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology. Want to learn more about our culture and people? Visit us: Capco Careers Slovakia Why Join Us? Prestigious Clients & Exciting Projects – Work with top-tier banks on transformation projects that redefine financial services. Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform. Flexible Work Environment – Work from our modern Bratislava office (Nivy Tower) or remotely from home. Attractive Benefits Package: ✅ Private health care & paid sick days ✅ 25 vacation days (regardless of age) ✅ Monthly cafeteria allowance (€50/month) or contribution to the 3rd pillar ✅ Fully paid meal vouchers ✅ Multisport card with employer contribution ✅ Smartphone with 1TB data + Laptop ✅ Relaxing office environment: Fresh fruit, game room (PS4, table football), pet-friendly space Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days. Long-term career – Permanent employment contract with opportunities for career growth. The minimum gross monthly base salary for this position for a medior is from € 2,600 and for a senior from € 3,300 . The final offer could be higher to reflect the candidate’s experience, skills, and overall fit for the role. Additionally, this position may also be eligible to receive a discretionary/variable bonus payment. Capco is committed to providing fair and equitable compensation to our people. Our compensation policies are designed to allow our people to progress through ou

Shape the Future of Financial Services with Capco At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology. Want to learn more about our culture and people? Visit us: Capco Careers Slovakia Why Join Us? Prestigious Clients & Exciting Projects – Work with top-tier banks on transformation projects that redefine financial services. Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform. Flexible Work Environment – we provide flexibility to work remotely from the home office within Czech Republic. Attractive Benefits Package: ✅ Paid sick days ✅ 25 vacation days (regardless of age) ✅ Monthly cafeteria allowance (1.285 CZK/month) or contribution to the 3rd pillar ✅ Fully paid meal vouchers ✅ Multisport card with employer contribution ✅ Smartphone with 1TB data + Laptop Well-being & Community Engagement – Join mental health webinars, running challenges, sports activities, or participate in our volunteering days. Competitive Compensation (adjusted based on experience) + annual bonus & benefits package. Long-term career – Indefinite period contract with opportunities for career growth. Role Description Build tailored Java SE/EE and Spring Boot solutions that keep modern banks running smoothly Write and run thorough unit tests to ensure your code is rock solid and reliable Share your knowledge and offer practical guidance on implementing best practices Own key configuration tasks that ensure our solutions are optimized, stable, and aligned with client needs Analyze change requests and defects, and turn them into opportunities to make the system better and more efficient This is a l

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. At Okta, we are building the future of secure, enterprise-grade cloud automation and system connectivity. We are looking for a Senior Software Engineer to join our global Automation Engineering team to design, scale, and govern our enterprise integration substrate using AWS cloud services and modern iPaaS platforms. This is a senior individual contributor role for a hands-on system engineer who can set technical standards, establish integration best practices, and partner with cross-functional teams to automate complex business workflows at scale. What You'll do : Lead technical design and execution for automation initiatives within the team, creating paved paths that enable builders across Okta to connect enterprise systems seamlessly. Design, build, and deploy high-throughput event-driven integration flows , API gateways, and async orchestration workflows using AWS architectures and iPaaS platforms. Build reusable frameworks , developer SDKs, self-service primitives, and integration templates to streamline automation delivery. Serve as a technical domain expert on AWS cloud services and modern iPaaS tooling, driving scalable architecture, reliability, and builder enablement. Partner with operations, security, and platform teams to strengthen monitoring, observability, structured audit logging, and automated governance. Mentor team members and participate in cross-functional design reviews , instilling a platform engineering mindset and raising the b