Java Backend Developer Jobs

Citi's Investor Services Technology group is seeking a technically exceptional and domain-savvy Data Architect to serve as the definitive data architecture authority across the Investor Services (IS) program — spanning Custody, Fund Administration, and Securities Finance. This is explicitly a hands-on architect role . The successful candidate will be expected to write, review, and validate architecture artifacts, data models, canonical schemas, and technical standards. You will be embedded with delivery teams, working directly with business analysts, data engineers, and technology leads to produce production-quality data architecture outputs that the entire IS program depends on. You will also lead the design and delivery of a suite of data architecture utilities — reusable tooling, accelerators, and automation that dramatically compress the time to deliver consistent, standards-compliant data integrations across Investor Services platforms. This role is a rare opportunity to set the data foundations for one of the most complex and consequential technology transformation programs in global financial services. Deep Custody and/or Fund Services domain knowledge is a prerequisite, not a preference. Responsibilities: Da ta Architecture Principles & Standards Define, document, and own the Investor Services data publication architecture principles — governing data modelling standards, naming conventions, versioning strategies, API data contracts, and data quality rules across all IS technology domains. Architecture Pattern Standardization Work with delivery leads across all 50+ IS platforms to define, document, and enforce standardized architecture patterns for data generation, transformation, and consumption — covering batch, near-real-time,

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . As a Machine Learning Engineer at Pinterest, you’ll develop and improve machine learning systems that power product experiences and discovery. You’ll partner with engineering, product and design teams to build, evaluate and iterate on scalable solutions that help Pinners find relevant, inspiring content. In this role, you’ll grow your technical expertise while contributing to reliable, high-impact systems. What you’ll do: Conduct applied machine learning research to address product and platform challenges at Pinterest. Collect, analyze and synthesize data to develop data-driven machine learning models. Write maintainable, efficient code and contribute to testing and code-review practices. Apply machine learning techniques, including natural language processing and graph-based approaches, to modeling and ranking challenges across discovery, ads a

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE: We are actively seeking highly motivated engineers who excel in dynamic, small-team settings. You will get a chance to contribute to innovative product ideas that tackle challenges within massive-scale storage environments. We are looking for skilled and dynamic Software Quality Engineers with a strong focus on automation to join our team. In this role, you will be a key player in ensuring the delivery of high-quality software through rigorous testing, building and leveraging a scalable test automation, and contributions to building high-performance systems. You will actively participate in designing tests, developing and maintaining test sets and strategies, and collaborating with peers and stakeholders to achieve comprehensive test coverage. You will work closely across kernel and OS layers, gaining exposure to end-to-end system interactions, I/O paths, and performance characteristics. Strong troubleshooting skills are essential, particularly in diagnosing complex server and storage issues across hardware and software boundaries. WHAT YOU'LL DO: Designing and implementing automated tests throughout the entire lifecycle of product development and support. Creating, developing, and maintaining automated test sets and test strategies for various products. Collaborating with peers and stakeholders to identify requirements and contribute to solutions from initial test design to a comprehensive testing suite. W

The Continuous Profiler team at Datadog is building a cutting-edge continuous profiling product that has low enough overhead to run continuously in production, unlocking insights into how customer applications perform under real workloads at scale. As AI reshapes software development and teams lose touch with how their code works and interacts with the hardware, this capability is becoming more essential than ever, for humans and AI alike. Today the information produced by our profilers is used for everything from automatic performance tuning to root cause analysis. As a distributed systems engineer on the profiling team, you will be contributing to the systems that intake, process, index, store and make sense of the data collected. You will be working with some of the best runtime engineers, visualization experts, data scientists and designers in the industry on challenging and fun problems. Together, we contribute to runtime ecosystems such as Go and tackle novel problems, from profiling asynchronous Python applications to helping customers solve memory leaks in their applications . At Datadog, we place value in our office culture: the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Help design, build and contribute to the core services making the profiling product possible, at a scale that is unusual even within Datadog. Participate in multi-disciplinary squads, and iterate with customers, to bring ideas all the way from early explorations to impactful product experiences. You will be responsible for your code from development to production, and meet ambitious SLO and quality gates. You will be working with many internal and external stakeholders, working on various ways to consume the profiling data, such as the UI, agentic tools, inter

FEQ427R443 Solutions Engineer At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes AI and data analytics accessible to everyone in their own context. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders . We aim to build leaders who will drive both data and business strategy for our customers, leading the front lines of Databricks growth as well. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges. Solutions engineers go further than telling them what's possible, they build working prototypes and advise customer teams on how to get to production. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it! This will be an in-office role and candidates must be based in our New York City (Midtown location). Relocation assistance will not be provided. Recent graduate?: We’d love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates. More About Databricks YouTube The impact you will have: Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in AI and data analytics to excite customers about Databricks. You will develop into a ‘cha

Senior Site Reliability Engineer (SRE) / Managed Services Engineer Who We Are Horizon Trading Solutions is an independent global technology company focused on electronic trading, supporting agency and principal business goals across equities and derivatives. With over 20 years of experience, Horizon provides a powerful multi-asset trading platform with direct connectivity to more than 80 exchanges worldwide, enabling clients to deploy sophisticated trading strategies across global markets. As our Managed Services and SaaS activities continue to grow across APAC, we are looking for a Senior Site Reliability Engineer (SRE) to join our Hong Kong team and play a key role in delivering highly available, secure, and performant trading infrastructures for our clients. Role Overview The Senior SRE Engineer will be responsible for designing, deploying, operating, and continuously improving the infrastructure supporting Horizon's hosted and managed trading platforms. Working closely with Infrastructure, Development, Product, and Client Services teams, you will ensure the reliability, security, performance, and scalability of critical production environments deployed on premises, in colocation facilities, and in cloud environments. This is a hands-on engineering role suited to someone passionate about operational excellence, low-latency infrastructures, automation, and financial technology. Key Responsibilities Platform Reliability & Operations Ensure high availability and operational readiness of Horizon's managed trading platforms. Monitor, maintain, and optimize production environments through proactive health checks, performance tuning, upgrades, and preventive maintenance. Diagnose and resolve infrastructure, network, database, and application incidents to minimize service disruption and meet service level objectives. Respond proactively to infrastructure alerts and client issues, lead deep-dive root cause analyses, and drive continuous improvement initiatives to enha

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. At Toast, we are committed to empowering our customers by providing the technology, resources, and community they need to thrive. While our roots are in food service, we are rapidly expanding into adjacent markets and international territories. Our mission is to build a world-class Device Management platform that supports the diverse needs of all Toast customers, regardless of their industry or location. As a member of the Android Systems team, you will bridge the gap between hardware and software to build the foundational platform for Toast POS devices. Whether it’s an international team looking to deploy a new on-device application, a customer needing a critical firmware update, an Enterprise group needing multi-location device tooling - our systems empower customers to set up, secure, and manage their devices from wherever they are. Why this team? Expanding the Vision : We are expanding our Mobile Device Management ecosystem—unifying firmware, on-device apps, and security controls into one cohesive platform. Frictionless Device Management : We are transforming the customer’s device lifecycle experience from out-of-the-box setup to continuous remote management, leveraging AI to dramatically reduce operator’s time spent troubleshooting and configuring devices. About this roll* (Responsibilities): Own the design and delivery of features across Toast's Android system applications in Kotlin and Java, including device policy enforcement, out-of-box device setup, and firmware and app updates. Write technical designs for features that span on-device apps, cloud services, and Toast hardware, and lead effort estimation and planning for your projects. Build reliable background services that run on devices with little to no user interaction, and deploy them safely to the Toast fleet using fe

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. About the Software Engineer Internship The Software Engineer Internship at Point72 provides individuals interested in pursuing a career in technology at an investment firm with a valuable, hands-on experience. During the program, you will gain exposure to: Developing and enhancing software applications that support asset management functions, including trading systems, research platforms, and data analysis tools Code reviews, maintaining existing codebases, and ensuring software scalability and integrity Technologies and methodologies like AI, machine learning, big data, and cloud computing to solve complex problems Collaborating with cross-functional teams to ensure technology solutions align with business goals and processes Documenting and presenting design decisions, code, and functionalities to team members and stakeholders Interacting with senior-level professionals The fast-paced, competitive hedge fund world and industry best practices Summer Internship Program at Point72 In addition to the learning and development you’ll receive in your day-to-day role with your team, as a part of our summer internship program you will: Work alongside your fellow interns and be mentored by experienced professionals Meet your peers through designated intern programming, volunteer opportunities, and social events Attend sessions with senior leaders discussing their

(FEQ128R2) The Role As a Specialist Solutions Architect (SSA) – Data Engineering, you are a hands-on technical authority who guides strategic customers in designing, building, and optimizing production-grade data workloads on the Databricks Data Intelligence Platform. Partnering closely with Account Teams and Solution Architects, you translate complex big data challenges into high-performance, scalable architectures using Apache Spark™ and modern streaming frameworks. In this role, you will drive successful implementations, align technical roadmaps to accelerate platform adoption, and establish deep domain specialization; whether in real-time streaming, performance optimization, or operational data layers, while expanding your impact across Field Engineering. The impact you will have: Drive Technical Wins & Scope: Lead end-to-end technical design, proof of concepts (PoCs), and workload sizing for strategic customer engagements, acting as a trusted advisor to front-line technical stakeholders to secure technical wins. Architect Production Data Systems: Design, build, and optimize scalable, high-performance batch and streaming pipelines, operational data layers (Lakebase), and end-to-end performance load testing on Databricks. Deploy Interactive Data Applications: Build and operationalize custom user-facing data applications using Databricks Apps, transforming data pipelines and AI models into interactive tools. AI-Native Engineering: Leverage AI coding assistants, LLMs, and agentic workflows (e.g., Genie Code, Cursor) as a force multiplier to rapidly prototype, debug, and deliver architectural assets with full ownership of outputs. Enablement & Domain Leadership: Mentor peers, contribute reusable architecture assets, and deliver technical workshops and community presentations to scale expertise across accounts and field teams. What we look for: Deep Data Engineering Expertise: 5+ years in data or software engineering with hands-on proficiency in distrib

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. As a Senior Solution Engineer – Public Sector at Snowflake, you will partner closely with Sales, Customer Success, Product, Engineering, and Marketing to drive ongoing success and growth within our existing Public Sector customer base in Singapore and the broader ASEAN region. You will act as a trusted technical advisor, helping government agencies and public sector institutions realize full value from the Snowflake Data Cloud, expand their workloads, and adopt new capabilities such as AI/ML and data applications. This role requires a blend of deep technical expertise, strong knowledge of the public sector landscape , and excellent customer engagement skills. You will lead technical discovery, architect new use cases on top of existing deployments, deliver compelling demonstrations, and guide customers through proof-of-value and production expansion. A strong understanding of the Singapore and ASEAN public sector regulatory environment (e.g., IM8, GovTech policies, data residency, cloud security and compliance requirements) is essential. RESPONSIBILITIES: Partner with Account Executives and Customer Success Managers to identify, qualify, and execute expansion opportunities within existing Public Sector accounts (new workloads, users, departments, and data products). Present

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you looking for an opportunity to join our fast paced and passionate team that supports multiple IT applications built on various technologies with continuous modernization in progress? Then read on! We are the Modern Delivery Tool Chain (MDTC) team accountable to lead continuous improvement of operations, operational automation, and high availability for tools. Our Impact: We build and enhance software applications required for mandatory reporting of Freddie Mac’s mortgage loan data to Federal Housing Finance Agency. Partner with Product and Business team members to ensure high quality product is developed and released into production. Work closely with Architecture, Stakeholders, Operations Partners, and Business Product teams to specify and refine solutions and practice. Evolve a DevOps culture to provide high quality, continuous operations, and ongoing support ensuring critical service level metrics, customer requirements and financial objective. Driver for modernization of Freddie Mac’s 5000+ customers to release small incremental changes to production at 5x pace. Your Impact: Design, build, and maintain CI/CD pipelines for microservices on AWS EKS and OpenShift, ensuring high-quality, reliable, and efficient software delivery. Implement and manage Infrastructure as Code (Terraform, AWS CloudFormation) for AWS resources, including S3 buckets, MongoDB, and PostgresDB. Manage secrets and credential storage using HashiCorp Vault, AWS Secrets Manager, and CyberArk, with a focus on security and compliance. Deploy and manage container

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. About the Role We are seeking a Senior Manager, Software Engineering to join our technology organization, reporting directly to the Director of Software Engineering. This pivotal role requires an engineering leader with deep Salesforce ecosystem expertise complemented by a broad software engineering background. You will build and scale the technical foundation supporting our key growth drivers: Brand, Marketing, Partnerships, CC-Sales (Contact Center Sales), and Outreach Programs . In this role, you will lead a team of software and Salesforce engineers building scalable, integrated, and cloud-native solutions. You will sit at the intersection of enterprise CRM capabilities and broader custom software engineering, driving everything from API integrations and custom microservices to automated outreach workflows and AI-driven automation. Key Responsibilities Technical Leadership & Domain Ownership Strategic Alignment: Own the technical vision, execution, and delivery across business-critical focus areas: Brand, Marketing, Partnerships, CC-Sale

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Job Description: Lead development, design, and maintenance of application across the legal division at Freddie Mac. Design solution, security, and product architecture for legal division software at Freddie Mac. Lead development efforts and produce artifacts compliant with Freddie Mac's Change Management and Software Development Lifecycle methodologies. Lead gap analysis on the business domain, identifying opportunities to meet business requirements through build/buy determination as needed. Understand and implement applications using diverse technologies including mobile solutions. Engage with project stakeholders to understand business needs and IT specifications. Research and evaluate various technology solution options, including build versus buy or a combination. Prototype and design systems based upon requirements and architecture specifications. Develop, enhance, test, and implement solutions using Unix, Windows, and AWS technologies. Integrate SaaS/COTS vendor solutions with Freddie Mac infrastructure. Participate in design, code, and other relevant project reviews. Support production incident tracking, troubleshooting, and resolution. Support infrastructure upgrades and patching activities impacting business applications Support ad-hoc activities related to business technology needs and IT risk management. Perform other duties as assigned. Position may be eligible for part-time t

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: We are seeking a Senior PKI/Cryptography Engineer to join the Data Protection team within the Information Security Engineering department of the Information Technology Division. The engineer is responsible for providing administration, engineering, and operations support for PKI application components, and cryptographic-based tools within Data Protection. Read on to learn more about this exciting opportunity! **This position has an on-call requirement. ** Our Impact: We reduce information risk by ensuring and enhancing the Confidentiality, Availability, and Integrity of Information systems at Freddie Mac. Your Impact: In this role, you will help fulfill the Information Security department’s vision of reducing information risk by ensuring and enhancing the Confidentiality, Availability, and Integrity of Information systems at Freddie Mac. You will work towards the development and delivery of our technical solutions related to Data Protection. You will build, develop, and maintain relationships with internal and external customers, and vendors to formulate remediation solutions for issues related with Information Security. Qualifications: 5-7+ years in IT security, including execution, testing, and maintenance of SOX controls; bachelor's degree or relevant experience is required. 5+ years of hands-on experience in PKI and cryptography, with a strong understanding of data encryption, SaaS security solutions, and cloud client security. Knowledge of security and cryptog

Location: Ontario, CAN REQ ID - FEQ427R731 Mission We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in various verticals. The impact you will have: You work with multiple clients as the main technical voice for Databricks. You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You implement the technical strategy in the account, in close understanding of the strategy. You build a movement of technical champions within the account. You align technical strategies around Databricks solutions. You provide structured mentorship for other team members. Gain the respect of your peers based on your experience, insight, and contributions. What we look for: Proficiency at establishing virtual teams, and leading them to ultimate success within the account. Experience working very large (> $1m ARR), global accounts. Form relationships with executives and influencers. Present a convincing point-of-view to important decision-makers that leads them down a path of success. Technical in big data, data science and cloud. An ability in data-driven business transformation, and driving change with data. Production programming experience in Python, R,