Software Technologist I Full Stack Development Engineer Sala Jobs

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in Canada; visa sponsorship is not available for this role. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who Should Apply Professional and Academic Background: 5+ years of software engineering or related technical experience, or equivalent domain expertise through academic work (e.g. PhD, postdoctoral research, or faculty experience in Computer Science or related field). Skills: Demonstrated coding proficiency and analytical abilities, with deep expertise in one or more of the following programming languages: Python, Java, Rust, Swift, JavaScript, or C++. Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration. Why

Here’s a summary of the role: You are a seasoned AI engineer ready to design, ship, and own production‑grade agentic systems that solve real enterprise problems. At Diligent, you’ll take technical ownership of Compliance in a Box (CiaB) — a flagship AI platform reshaping how organisations manage governance, risk, and compliance at scale. You’ll architect and evolve the AI reasoning layer and agent orchestration framework at the heart of the product, shaping how multiple intelligent agents collaborate, reason, and operate safely in high‑stakes, regulated environments. This is hands‑on, deeply technical work — from system design to prompt strategy to evaluation — not research theatre. Partnering closely with product, security, and platform teams, you’ll make high‑impact decisions, move quickly, and see your work land in production fast. If you’re motivated by ownership, technical depth, and building AI systems that actually matter , this is your chance to set the standard for enterprise‑ready agentic AI. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Build and maintain the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework) — the technical core of our Compliance in a Box product Design and implement a 7-agent architecture : OnboardingAgent, ScopeAgent, StandardsMapper, RiskQuantifier, PolicyAnalyzer, InfrastructureAuditor, and ComplianceMonitor Implement Human-in-the-Loop (HITL) gates across agent workflows, and tune prompts and confidence scoring for Bedrock-hosted models Own the agent evaluation framework — measuring quality, latency, and reliability to keep CiaB performant and production-ready Collaborate with cross-functional teams to deliver CiaB feature-complete by Week 7 — your work ships fast and your impact is visible from day one These are the essentials you’ll need to get an interview: A degree in Computer Science, Software Engineering, or a related IT discipline Demonstrable understandin

ROLE/RESPONSIBILTIES: We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source models fine-tuning and deployment, etc. Responsibilities include: Exploring and combining rich internal and external textual datasets Building GenAI solutions, leveraging both internal models and external APIs Formulating research hypothesis to derive alpha Post-training models for specific tasks Benchmarking LLM approaches internal tasks We believe the investment world offers unique opportunities to use modern NLP methods. We are a team ideally situated for that, having access to both internal and commercial datasets, with an end-to-end research philosophy and direct portfolio impact. REQUIREMENTS: Bachelor, Master’s or PhD graduate or candidate in computer science or another quantitative discipline Experience in NLP, particularly LLMs. Proficient in Python, SQL and general software engineering principles (github, testing, etc.) Data science stack familiarity Interest in financial markets Collaborative mindset ABOUT POINT72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

A Career with Point72's Trading Research Team WHAT YOU'LL DO Build and scale the research-to-trading platform that enables to support the design, testing, and deployment of quantitative strategies from prototype to production Design and implement high-performance analytics and pricing libraries in C++ and Python to support back testing, simulation, and real-time decision making Partner with investment professionals across the global business to translate ideas into robust, production-grade code and reproducible experiments Develop and maintain data pipelines and storage solutions that ingest, validate, and serve large historical and real-time market datasets Deploy, monitor, and operate production services, including automated testing, release processes, and incident response Drive performance and latency optimizations across code paths and infrastructure using profiling and benchmarking techniques Create tooling for experiment management, post-trade analysis, and model validation to measure strategy behavior and market impact Lead and contribute to the technical roadmap, increasing automation, resilience, and scalability of the research infrastructure Mentor junior developers, share best practices for software engineering, and promote a culture of continuous improvement and technical excellence WHAT'S REQUIRED Bachelor’s degree or higher in computer science, engineering, mathematics, physics, or a related quantitative discipline 3+ years of professional software engineering experience building production systems in a collaborative environment Strong proficiency in Python for data analysis and tooling and fluency in modern C++ for performance-sensitive components Practical experience building and querying relational databases or columnar data stores using SQL and hands-on experience with Linux development Proven experience designing and operating production services, including testing, deployment, and monitoring practices Demonstrated ability to profile, debug, and

Role/Responsibilities: The Cubist Business Management team manages all aspects of onboarding new systematic trading teams as well as deployment of new trading strategies. The team also represents PMs with external counterparties and is responsible for rate negotiations, quant research vendor relationship management, and trading relationship management. General responsibilities include, but are not limited to: Complete project lifecycle management launching new PM Teams into production Educate PM teams on Point72 operating procedures and technology integration Lead new strategy rollout projects internally with Technology, Operations, Legal, Compliance, and Risk groups, and externally with brokers, exchanges, and vendors Provide day-to-day support for various operational procedures such as broker data management, compliance monitoring, trading, and business continuity The person in this role must have a technical background as well as good communication skills and a willingness to learn day-to-day trading and finance operations. The candidate should have a good understanding of global market structure and electronic trading systems and have familiarity with trading rules and regulations or demonstrate an aptitude to learn. Familiarity with research and market data sources is a strong plus but not a requirement. Job Requirements: This is a highly selective position. The ideal candidates will have a combination of software development and communication skills with some experience working in a financial services organization. A BS in finance, statistics, math, and engineering or computer science is strongly preferred. 2 years of relevant work experience is a plus. Must have strong interpersonal skills, excellent time management skills, and a team attitude. Working experience in Python and SQL. We support systematic trading of global equities, futures, and foreign exchange, bonds, rates, credit and options. Candidates with specific work experience and knowledge of market

A Career with Point72's AI/ML – Investment Services Team The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning. WHAT YOU'LL DO Design and build scalable, high-performance backend systems that power investment services and AI-driven applications, and own their end-to-end lifecycle Build and operate robust data pipelines for batch and streaming workloads to ingest, transform, validate, and deliver data to models and downstream consumers Integrate and productionize generative AI capabilities and large language model solutions, including model serving, embeddings, and API-based workflows to augment investment workflows Implement and maintain microservices and APIs that expose data and model functionality with a focus on reliability, low latency, and security Optimize system performance and resilience through monitoring, observability, capacity planning, and automated incident response Lead cross-functional delivery of prototypes into production by collaborating with data scientists, researchers, product owners, and operations teams Build and maintain CI/CD pipelines, automated testing, and deployment practices to accelerate safe delivery and rollback of services Mentor and coach engineers on backend and data engineering best practices, help grow engineering capability, and contribute to the technical roadmap Collaborate with security, compliance, and infrastructure partners to ensure data governance, access controls, and operational controls are integrated into solutions WHAT'S REQUIRED Bachelor's degree in computer science, software engineering, or a related technical field At least 5 years of professional software enginee

About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role: Cubist is looking for a support engineer/quantitative developer who will work on a growing L2/L3 support team for quantitative trading systems, high‑frequency trading infrastructure, real time analytics, and research infrastructure. This role will require close collaboration with multiple teams at Cubist, including multiple Portfolio Manager (PM) teams, Central Research Technology, and Execution Services. The role offers career growth through the opportunity to work on the development of the underlying systems. Role/Responsibilities: Troubleshooting/resolution of quantitative trading systems and other live analytics processes System monitoring, including development of better processes and tools New feature development in Python/C++ Configuration and change management Onboarding assistance Requirements: 2+ years of professional support and/or software engineering experience Experience with trading systems support (co-located low-latency systems a strong plus) Fluency with C++, Python and SQL Familiarity with software delivery lifecycle and production deployment Cloud experience is a strong plus Team player and strong communicator

The Healthcare Senior Solutions Engineer is a strategic expert who understands the specific needs of healthcare organizations and provides business-driven consulting to both prospective and existing customers. SEs offer healthcare-centric expertise that helps our Sales team establish clear value, differentiation, and trust in our AI-powered Contact Center and CX solutions. This individual is a seasoned operator or practitioner with deep experience in healthcare environments—across providers, payers, or digital health—bringing knowledge of clinical workflows, regulatory compliance (HIPAA, HITECH), and patient engagement to every interaction. They engage throughout the entire sales lifecycle, from pre-sales engineering and technical qualification to solution architecture and post-sale expansion. The Healthcare Solutions Engineer is a recognized thought leader who confidently supports C-level discussions, accelerates deal cycles, and helps identify and expand revenue opportunities in healthcare. Key Responsibilities Conducts research to prepare for upcoming meetings with prospects to understand their business environment, market, customers, competitors and general business challenges. Carries out discovery conversations with customers to understand their needs and requirements for a new solution. Uncovers customer pains, learns about customer's objectives and potential needs, gathers metrics necessary for pricing and/or value discussions. Listens to the customer to gather information that can be leveraged in upcoming presentations. Uses their in-depth knowledge of Talkdesk solutions and capabilities to specify the appropriate solution(s) for customer needs and requirements. The SE is continually learning about Talkdesk solutions to keep up with innovations and new releases of TD software. Designs and delivers presentations to customers, on-site & virtual, showing Talkdesk’s capabilities, aligned to the customer's pains and needs that were uncovered during Discovery

S r. Security Engineer - IAM Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care. Today, Truveta enables research on more than 130 million de-identified patients across the US. Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . This job requires daily onsite work at our headquarters in Hyderabad . Who We Need Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. This Opportunity Success in the healthcare industry is predicated on a foundation of trust. We demonstrate our trustworthiness as stewards of health data through three foundational pillars: security, privacy, and compliance. The successful candidate will design , implement, and support solutions that support the company’s Digital Workplace strategy. The

Toradex is a global company strongly focused on engineering & technology. We’re powered by a diverse & uniquely gifted workforce. We pursue the best people to propel our innovative vision of embedded computing and IoT. If you’re interested in being a driving force at an agile technology company, engineering clever computing solutions & helping other companies bring their products to life, we should talk. Job Description As part of our Hardware Development team , you will be involved in product development, verification and validation (VaV), and complex customer support cases related to hardware design. This role is suited for engineers who enjoy working across the full hardware lifecycle, from concept and design through bring-up, testing, optimization, and long-term product support. The position combines hands-on engineering work with cross-functional collaboration, especially with product managers and software development teams. This is an end-to-end hardware engineering role focused on building robust, optimized, and reusable embedded hardware platforms and supporting them throughout their lifecycle. Role & Responsibilities As a Hardware Development Engineer , you will drive the complete hardware design cycle for new electronic products, including: System design Schematic capture Bill of Materials (BOM) creation and maintenance Multi-layer PCB design (6+ layers) Technical documentation Hardware bring-up Verification and validation, including compliance tests such as EMC , electrical compliance of interfaces, shock and vibration, and related activities Creation and maintenance of Altium component libraries and the Altium 365 workspace You will be responsible for developing highly robust, optimized, and generically usable System on Module solutions, carrier boards, peripheral products, and related hardware, together with complete documentation. You will work closely with product managers and software development teams during the developm

Toradex is a global company strongly focused on engineering & technology. We’re powered by a diverse & uniquely gifted workforce. We pursue the best people to propel our innovative vision of embedded computing and IoT. If you’re interested in being a driving force at an agile technology company, engineering clever computing solutions & helping other companies bring their products to life, we should talk. Job Description As part of our Hardware Development team , you will be involved in product development, verification and validation (VaV), and complex customer support cases related to hardware design. This role is suited for engineers who enjoy working across the full hardware lifecycle, from concept and design through bring-up, testing, optimization, and long-term product support. The position combines hands-on engineering work with cross-functional collaboration, especially with product managers and software development teams. This is an end-to-end hardware engineering role focused on building robust, optimized, and reusable embedded hardware platforms and supporting them throughout their lifecycle. Role & Responsibilities As a Hardware Development Engineer , you will drive the complete hardware design cycle for new electronic products, including: System design Schematic capture Bill of Materials (BOM) creation and maintenance Multi-layer PCB design (6+ layers) Technical documentation Hardware bring-up Verification and validation, including compliance tests such as EMC , electrical compliance of interfaces, shock and vibration, and related activities Creation and maintenance of Altium component libraries and the Altium 365 workspace You will be responsible for developing highly robust, optimized, and generically usable System on Module solutions, carrier boards, peripheral products, and related hardware, together with complete documentation. You will work closely with product managers and software development teams during the developm

Toradex is a global company strongly focused on engineering & technology. We’re powered by a diverse & uniquely gifted workforce. We pursue the best people to propel our innovative vision of embedded computing and IoT. If you’re interested in being a driving force at an agile technology company, engineering clever computing solutions & helping other companies bring their products to life, we should talk. Job Description As part of our Hardware Development team , you will be involved in product development, verification and validation (VaV), and complex customer support cases related to hardware design. This role is suited for engineers who enjoy working across the full hardware lifecycle, from concept and design through bring-up, testing, optimization, and long-term product support. The position combines hands-on engineering work with cross-functional collaboration, especially with product managers and software development teams. This is an end-to-end hardware engineering role focused on building robust, optimized, and reusable embedded hardware platforms and supporting them throughout their lifecycle. Role & Responsibilities As a Hardware Development Engineer , you will drive the complete hardware design cycle for new electronic products, including: System design Schematic capture Bill of Materials (BOM) creation and maintenance Multi-layer PCB design (6+ layers) Technical documentation Hardware bring-up Verification and validation, including compliance tests such as EMC , electrical compliance of interfaces, shock and vibration, and related activities Creation and maintenance of Altium component libraries and the Altium 365 workspace You will be responsible for developing highly robust, optimized, and generically usable System on Module solutions, carrier boards, peripheral products, and related hardware, together with complete documentation. You will work closely with product managers and software development teams during the development of

About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Lead/Manager, you will play a key role in building the Together cloud platform engineering team in the Netherlands. We are a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Some of what you’ll work on: Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters. Build out a global management plane for managing our data center compute, networking, and storage. Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features. Hybrid working 2 days a week at our offices in Amsterdam Responsibilities Lead/Manage a team of 8 together cloud Infrastructure Engineer in Amsterdam, Identify, design, and develop foundational backend services that power Together’s commerce platform Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure Partner with product teams to understand functional requirements and deliver solutions that meet business needs Write clear, well-tested, and maintainable software and IaC for both new and existing systems Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance Participate in an on-call rotation to address critical incidents when necessary Requirements Ideally 1-2 years of leading the Infrastructure team. Demonstrable backgro

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. Consumers across the globe need safe, transparent financing while merchants want to provide users with their preferred way to pay and convert more buyers. To help achieve this vision, we are hiring a Senior Product Manager for our 1:Many Growth team. Affirm's Distribution Partnerships program - internally called " 1:Many " - is one of the highest-leverage growth levers at the company. Instead of integrating merchant by merchant, we integrate once into a platform merchants already use, and every merchant on that platform becomes reachable through that single integration. This role is responsible for: Own and grow Affirm's partner portfolio - making it easier and more frictionless for merchants to onboard and offer Affirm as a payment method to their customers. This includes taking product ownership of Affirm's existing vertical software partnerships, and growing the broader portfolio of platform partners still being stood up. Partner Acceleration Strategy - building the durable capabilities that make every future partner integration faster to launch and easier to scale, rather than solving the same problem one partner at a time. As a Senior Product Manager, you will work closely with cross-functional teams including commercial, merchant risk, design, product analytics, and engineering to define, launch and grow integrations with platform partners. Effective stakeholder management and ability to successfully navigate organizational dynamics are a must for success. You should be outcomes-driven with a very high bias for action. What You'll Do Collaborate with cross-functional teams to define, launch, and grow integrations with payment and platform partners. Build durable, repeatable capabilities through a Partner Acceleration Strategy that makes future partner integrations faster t

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. We are looking for a Principal Backend Engineer to join our Analytics team based in Israel. This role reports to the Manager, Software Engineering. Avalor curates and contextualizes data from hundreds of security and business tools to help companies understand and address their riskiest problems. You will leverage and evolve our robust data platform and security modules to provide immediate benefits to customers while making the world a more secure place. What you’ll do (Role Expectations) Design, develop, and maintain scalable backend services within a cutting-edge microservices architecture using Scala and Java/Spring Boot Optimize performance, cost, and reliability of services in production while ensuring efficient data management across stores like Snowflake, Trino, and Apache Iceberg Drive innovation in semantic layers, query optimizations, and analytics capabilities to refine and expand our technology st