Junior Software Engineer Testing Frameworks Jobs

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: Solve real business needs at large scale by a

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 We are seeking a Staff Full Stack Software Engineer to join the Advisor Experience team as our Technical Lead. Our team is focused on building tools for financial advisors to grow and sustain their business. We oversee bespoke products for advisors and develop advisor-focused capabilities throughout the Addepar platform. In this role, you will be the primary technical anchor for new capabilities including Secure Message Center — a compliant messaging experience built into Addepar's client portal that allows advisors and their clients to communicate directly within the platform. You will partner directly with Engineering Leadership and Product Management to build a modern, scalable architecture from the ground up. Beyond system design, you will act as a true engineering multiplier: setting technical standards, mentoring junior and mid-level engineers, and working alongside other senior engineers and AI specialists to deliver high-impact advisor tools. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employmen

Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or eq

Opportunity Overview: This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. We’re seeking a Senior Software Engineer to join our Data Platform team and take ownership of designing and delivering large-scale, reliable, and governed data pipelines that power analytics, operations, and clinical intelligence across Cohere Health. This role is ideal for an engineer who thrives on solving complex data challenges, mentoring others, and raising engineering standards while contributing to scalable and sustainable platform growth. As a Senior Software Engineer of the data platform team, you’ll operate across the end-to-end data lifecycle—from ingestion to transformation to integration—driving solutions that align with architectural best practices, governance needs, and business outcomes. You’ll partner closely with analytics engineers, architects, and product stakeholders to ensure that data products are performant, compliant, and trustworthy. What you’ll do: Lead the design and implementation of complex data pipelines and infrastructure across multiple domains Mentor junior engineers, sharing expertise and raising team-wide engineering standards Implement and enforce data quality, schema validation, and observability practices to ensure trustworthy outputs Contribute to architecture discussions and tool evaluation, helping to shape platform scalability and governance alignment Write clean, maintainable, and testable code in Python and SQL, following best practices in version control, CI/CD, and documentation Optimize and monitor production workflows using tools such as Airflow, dbt, Athena, EMR, Kafka, and Iceberg/Parquet Collaborate with cross-functional stakeholders (analytics, product, compliance) to ensure technical solutions meet business needs Participate in on-call rotations to support critical platform jobs and reduce operational disruptions Champion a culture of exce

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation. Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or equivale

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior Software Engineers who crave variety and ownership. Whether your expertise is in front-end, back-end, test automation, ops, or infrastructure, you’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Work on all areas of the software from front end, back end, cloud infrastructure and test automation. Drive high standards within the team for all internal services and open source tooling/libraries we maintain. Deploy service and infrastructure changes frequently in a lean agile environment using full CI/CD. Contribute in all aspects of product development: idea generation, customer engagement, planning, design, prototyping, execution, shipping, and operational excellence. Collaborate with a team of passionate, engaged engineers, and with cross-functional teams that include product managers, UX designers, UX researchers, and more. Actively mentor more junior engineers, showing how to balance customer delivery while holding high coding, service, and cloud infrastructure standards. Apply different approaches to problem solving and help validate your ideas and those of

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 We are currently seeking a Senior Software Engineer to join the Product Platform team which builds foundational components and cross-functional capabilities for our ecosystem. 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 Architect, implement, and maintain engineering solutions to solve complex problems; write well-designed, testable code. Independently deliver high-value projects from design through delivery. Collaborate with product managers on product requirements iterations, design feasibility and user feedback. Learn and promote best engineering practices. Document software functionality, system design, and project plans. Debug and troubleshoot issues across the entire application stack. Mentor junior engineers, provide clear and constructive guidance Collaborate with engineers and stakeholders from other teams to resolve technical issues or coordinate dependencies Who You Are Extensive software engineering experience Track record of leading technical initiatives from design through delivery Proven ability to influence technical direction and make significant contributions to the architectu

Sr. Software Developer Sureify drives customer engagement between the customer and their insurance company by incorporating web & mobile apps into the insurance product experience. Our product is controlled by our backend dashboard, so insurers can get the latest iOT data streaming in. The SaaS platform is designed to ensure that insurers never miss opportunities to increase engagement with their existing customer base. We are looking for a Full Stack Web Developer who is motivated to combine the art of design with the art of programming. Responsibilities will include translation of the UI/UX design wireframes to actual code that will produce visual elements of the application. You will work with the UI/UX designer and bridge the gap between graphical design and technical implementation, taking an active role on both sides and defining how the application looks as well as how it works. On the backend, you will have the opportunity to help our product scale and be involved in the further architecture of the Sureify platform. Responsibilities Design, develop, and maintain robust web applications using React on the frontend and Golang/Typescript/PHP on the backend. Build reusable code and libraries for future use Build a scalable architecture to support millions of users. Design schema migrations, optimize complex queries, and manage data integrity in MySQL. Ensure the technical feasibility of UI/UX designs Work closely with the UI/UX designers and product managers Identify and resolve performance bottlenecks across the stack, from frontend rendering to database indexing Write clean, maintainable code and participate in rigorous peer code reviews to ensure long-term system stability. Collaborate with other team members and stakeholders. Proven ability to explain complex technical concepts clearly to developers. Mentor junior engineers, conduct code reviews, and foster an inclusive, collaborative environment. Skills And Qualifications 3+ years of exper

The Forward Deployed Engineer, Staff (FDE) is a high impact technical leader responsible for translating the immense power of Talkdesk's Agentic AI platform into transformative, production grade solutions for our strategic enterprise customers. You are a unique blend of a highly experienced software engineer, a technical project lead, and a hands-on builder. You own the technical execution for deployments, mitigate technical risks, and drive successful customer outcomes across assigned projects. This role is for the experienced builder who excels in high stakes, customer facing environments and is passionate about defining the future of Customer Experience Automation. Responsibilities Technical Project Leadership & Architecture: Act as the technical lead for complex deployments. Design and implement the architectural blueprint for AI agent solutions, manage cross-system dependencies, and ensure designs meet stringent enterprise standards for security and scale. Hands-On Engineering & Delivery: Write production-grade code and leverage Talkdesk and 3rd-party APIs/SDKs to design, build, test, and deploy AI agents. Drive the execution from prototype through to production deployment, ensuring technical quality. Technical Consultation & Alignment: Serve as a trusted technical expert for our AI solutions. Confidently address deep technical inquiries, mitigate technical risk, and build trust with customer Engineering Directors, and technical architects. Influence Product & Engineering Roadmap: Synthesize and codify deployment learnings into reusable solution patterns and tooling. Provide actionable feedback to core Product and Engineering teams to help inform future product direction. Technical Guidance: Mentor junior FDEs and technical specialists on best practices for complex AI architecture, production quality, and client-facing technical delivery. Who You Are We are looking for an autonomous, results-driven technical leader who thrives at the intersectio

P-1439 As Applied ML/AI Engineer at Databricks, you will define and create the Agentic Machine Learning revolution. You will help world’s largest companies build and deploy massive classical machine learning solutions (such as personalized recommendations, fraud detection, dynamic pricing, forecasting) fully using Databricks’ agents and harnesses. After 30 years of painfully slow progress, expensive knowledge acquisition and tedious processes in classical ML, the agentic era has ushered innovation, scale and visibility for all: from the most junior data scientists and machine learning engineers to the world class experts. You will work on Databricks’ Genie Code, an agent and an ML “exoskeleton” that is authoring ML, training and deploying models, monitoring and self-healing production ML, all at the top-expert level. Additionally, you will develop ML solutions that under the hood address the most pressing questions non-technical business people have today: predictive and what-if questions. Your work is a top priority for Databricks and you will report to a Principal Software Engineer (a Director level position). The impact you will have: Build agentic end-to-end systems in a small, highly international team of experienced engineers in a flat and agile organization. Build solutions for people like you: software engineers, ML engineers, data engineers, data scientists and MLOps engineers. Own our applied ML investment by engaging with engineering and product teams across the company. Drive the development and deployment of state-of-the-art ML/AI models and systems that directly impact the capabilities and performance of Databricks’ products, infrastructure, and services. Architect and implement robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments. Work on novel forecasting techniques. Possibilities to contribute to the broader AI community by presenting a

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Machine Learning Platform Engineer on the ML Platform team within the Platform group, you'll build the foundational infrastructure that powers feature engineering, model training, and model serving across Coinbase. The platform you build supports fraud detection, user personalization, and blockchain analysis. You'll own critical systems spanning stream processing, distributed training, and highly available inference services, directly shaping how ML scales across the company. What You'll Do: Own the design and reliability of ML inference infrastructure serving both predictive models and LLMs, maintaining high availability and low latency at scale. Build and optimize low-latency streaming pipelines that deliver fresh, high-quality feature data to production ML models. Drive improvements to distributed training infrastructure, enabling ML engineers to process large data volumes efficiently. Develop observability tooling to monitor data quality entering models and detect degradations impacting model performance. Mentor junior engineers on building production-grade software, raising the team's engineering standards over time. Required Skills and Experience: 5+ years of industry experience as a software engineer, with demonstrated ownership of distributed systems in production environments. Built and operated low-latency data or ML infrastructure (stream

Location Qualifications : Ghent (hybrid 2x week in office) or Bucharest (hybrid 2x week in office) About the position As a Backend Engineer in one of our AI-focused teams, you will help build intelligent, AI-powered features that enhance how sales teams work. You’ll develop and maintain serverless, event-driven systems and APIs that integrate with third-party services. Working closely with senior engineers, you’ll take ownership of well-scoped features and contribute to technical and product discussions, helping design solutions that use modern AI capabilities to deliver real value to users. Rather than a monolithic environment, you’ll work within an ecosystem of services and help improve their reliability and quality. Your work will shape the end-user experience for all our customers. Key Responsibilities Build AI-powered features that use large language models to automate and enhance user workflows. Contribute to improving our development processes and environments. Build and maintain integrations with third-party platforms and APIs. Help implement and maintain our growing ecosystem of microservices . Work in teams where code reviews and pair programming are part of our strong engineering culture, learning from experienced engineers and sharing what you know. Apply a security-first approach to the features and changes you deliver. Grow your technical and architectural skills through mentoring from senior engineers, and support more junior colleagues where you can. Keep the bigger picture in mind, because your work will reach 100,000 users globally. Are you our next Backend Engineer? Must haves 3+ years developing production-ready backend systems. Solid proficiency in TypeScript and Node.js . Experience with JVM languages is a plus. Interest in or early experience with AI/LLM integration and p rompt engineering . Working knowledge of event-driven systems (message queues, asynchronous workflows). Experience with serverless architectures and state

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Engineer to join our team. This is a Hybrid role, reporting to the Senior Manager, Software Engineering in the Federal and Sovereign Clouds department. As a passionate engineer you will work with a team of cloud architects in building scalable, high performance backend applications for our cloud engineering org. You will play a pivotal role in enhancing our multitenant architecture and global footprint for the world’s largest cloud security platform. What you’ll do (Role Expectations) Designing and implementing scalable, high-performance backend services and APIs Ensuring code quality by writing and maintaining unit, integration, and performance tests; monitor, debug, and optimize system performance Mentoring junior engineers, fostering their growth, and upholding best practices through active participation in code reviews Collaborating with cross-functional teams to deliver inte

Become a part of our caring community The Senior Cloud Services Engineer enables cloud technologies to provide optimal performance, continuity, and efficiency in virtualized, on-demand environments. The Senior Cloud Services Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Cloud Services Engineer utilizes software that manages and monitors networks, systems, and applications not only to guarantee performance within cloud software environments but also to orchestrate and automate the provisioning of resources. The associate begins to influence department strategy and makes decisions on moderately complex to complex issues regarding technical approaches for project components. Work is performed with minimal direction and considerable latitude is exercised in determining objectives and approaches to assignments. This role supports critical cloud engineering, ETL, Salesforce, AI, security, and DevOps initiatives while partnering across technical teams to deliver scalable, reliable, and secure solutions. The Senior Cloud Services Engineer also serves as a mentor to junior associates and contributes to continuous improvement efforts across the organization. Use your skills to make an impact Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field or equivalent experience 5 or more years of technical experience Must be passionate about contributing to an organization focused on continuously improving consumer experiences Experience working in a Salesforce environment Solid foundation of data engineering concepts, ETL, and distributed processing, particularly Databricks and Informatica Medium prog

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. Job Description: The Forward Deployed Engineering team at DevRev is responsible for architecting and building solutions that deliver the optimal experience for our customers. As customers progress through their DevRev journey, they may require integrations with enterprise systems, workflow automation, or custom enhancements to the platform. As a Junior Forward Deployed Engineer, you will work alongside experienced engineers and cross-functional teams to help design and implement integrations, automations, and AI-driven solutions. You will gain hands-on experience applying AI/ML techniques, coding, and building scalable solutions that enhance the customer experience, while receiving mentorship to grow your technical and problem-solving skills. Objectives: Assist in designing, developing, and implementing integrations, automations, and customizations across DevRev and customers’ workflows. Apply AI techniques, including Generative AI and prompt engineering, under guidance from senior team members. Conduct basic data analysis, write SQL queries, and help build dashboards to share insights. Participate in cross-functional communication to ensure requirements and feedback loops are maintained. Learn new tools and assist in guid