Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

• 401k

Experience Requirements:

• An incredibly strong engineer with years of experience building complex backend applications.

• Strong experience of distributed systems and techniques for building fault-tolerant, high-availability platforms.

• Experience with ML algorithms, Real-time Analytics or LLMs (AI experience not required)

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Integrate the LLMs against hundreds of external data sources (easily surpassing terabytes per customer).

• Scale out the data platform at all levels (ingest, search, storage, aggregation and reporting).

• Leverage retrieval-augmented generation (RAG) to improve the consistency of AI outcomes and avoid duplicate inference.

• Improve our Agentic AI services as well as the platform they run on

Benefits:

• Health Insurance (Safety Wing)

• Stay Healthy subsidy (for gym and sports)

• Unlimited PTO

• Paid Paternity and Maternity Leave

• Enjoy your local holidays in Brazil!

Experience Requirements:

• Experience with different sorts of integration methods like REST, Webhooks, etc.

• Solid programming skills in Python or Javascript (nodejs).

• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and their respective services (e.g., S3, SQS).

• Knowledge of distributed systems and techniques for building fault-tolerant, high-availability platforms.

• Strong understanding of various database and search technologies (e.g. SQL, ElasticSearch, MongoDB).

Other Requirements:

• Proficiency in English (at least advanced level) for effective communication and collaboration within the team.

Responsibilities:

• Build business logic for all connector types (e.g. webhook, polling, syslog, etc.) and contribute to various design patterns to make this easier.

• Monitor, troubleshoot, and enhance the performance of connectors, ensuring minimal downtime and high reliability.

• Collaborate with engineering and product teams to refine technical requirements for product asks and right-sizing engineering solutions to meet them.

Benefits:

• unlimited paid holiday

• Employee share scheme

• Generous maternity and paternity leave

• Company retreats

Experience Requirements:

• Strong collaboration skills

• Launching and operating production scale kubernetes clusters

• Designing and operating infrastructure on AWS and other providers

• Operating MongoDB (or other document database) clusters

• Operating Redis (or other key-value storage) clusters

Responsibilities:

• Maintaining global Tyk Cloud within SL(A/I/O)s you will help to define

• Identifying reliability issues and working together with your squad to solve them

• Identifying and introducing new metrics and building relevant dashboards

• Participating in the on-call rotation

• Working with your squad to expand multi-region and multi-cloud reach of the platform

Benefits:

• unlimited paid holiday

• Employee share scheme

• Generous maternity and paternity leave

• Company retreats

Experience Requirements:

• Experience providing technical support for a complex product

• Experience working collaboratively with core engineering teams

• Experience with REST calls

• Enthusiasm for dealing directly with clients

Responsibilities:

• Leading the task management for a regional cohort of success engineers, acting as an escalation point

• Developing your regional cohort via pairing on complex issues to build knowledge across your cohort

• Answering complex technical customer tickets and requests, often involving troubleshooting, reading source code and supporting customers over screen shares/calls

Benefits:

• unlimited paid holiday

• Employee share scheme

• Generous maternity and paternity leave

• Company retreats

Experience Requirements:

• Github actions

• (C)Go development with Linux toolchain

• Packaging (rpm, deb)

Responsibilities:

• Working closely with QA to develop solid test frameworks

• Release engineering and associated infrastructure

• Platform engineering tooling

• Developing, championing and embedding best in class frameworks and practices into our squads via a consultative approach

• Automation for k8s, AWS and DO assets

Benefits:

• unlimited paid holiday

• Employee share scheme

• Generous maternity and paternity leave

• Company retreats

Education Requirements:

• Bachelor’s Degree (Computer Science or Engineering preferred)

Experience Requirements:

• Proven customer facing engineering experience

• Pre sales Consulting experience

• Development or Infrastructure or project lifecycle management experience

• Enterprise Level IT Project delivery

• Stakeholder management

Responsibilities:

• Work with the sales team to meet and exceed team sales quotas and OKRs

• Gather, understand, and develop customer requirements for API Gateway & Management platform.

• Act as a trusted advisor to prospects, guiding them on overall API strategies and tactics to leverage Tyk’s unique perspective on API Management.

Education Requirements:

• Bachelor’s degree (Master’s Degree preferred) in the field of Computer Science, Mathematics, or in a related field

Experience Requirements:

• Minimum of ten (10) years of software development experience, with at least six (6) years of that being with complex software systems

• 6+ years experience with architecting complex, high-scale web applications and data solutions

• 5+ years experience with medical device software development with focus on cybersecurity and information security implementation.

• 8+ years experience with at least two of the following programming languages: ReactJS, Node.JS, Nest.JS, Python, Rust and C++

• 6+ years experience with cloud computing such as AWS, Azure, etc.6+ years experience with AWS services such as Kafka, EC2, S3, MSK, ECR, EKS6+ years experience with database design and implementation10+ years experience with agile software development principles and practices5+ years experience test automation using test frameworks such as Selenium, Cucumber, etc.5+ years experience with CI/CD utilizing containerized deployment tools such as Dockers and Kubernetes.3+ years experience with machine learning and working with data scientists to build applications that make use of the power of machine learning and AI

Responsibilities:

• Design, build and maintain backend and frontend web-based software applications

• Work with Manager of India Engineering on software architecture and design

• Strive for high quality outcomes, continuously look for ways to improve team productivity and product reliability, performance, and security

• Work with both backend and frontend technologies such as

• Automate unit and integration tests within a CI/CD pipelinePartner with other engineering teams to deliver best solutionsEnsures software standards are metEnsure that the feature(s) work across multiple releases of the softwareWork within the Pictor Labs organization to ensure consistent, high-quality deliveriesDevelop architecture, design and code based on the specificationsPrepare software verification plans and quality assurance proceduresContinually strive for increased efficiency, maintainability, and qualityIntegrate software components into a fully functional software systemBuild and Support – embrace the DevOps mentality to build, deploy and support applications in the cloud with minimal help from other teamsWork with software and product management teams to translate requirements into design.

Experience Requirements:

• 2+ years of experience in our stack

• 1+ year of experience in our industry (ecommerce / email marketing)

• Excitement about using AI coding tools to increase productivity (e.g. Cursor, Windsurf, Copilot)

Experience Requirements:

• 3+ years of experience in security engineering, DevSecOps, or infrastructure engineering with a strong security focus

Responsibilities:

• Design and implement access controls, secrets management, and network boundaries across AWS

• Lead the technical implementation of SOC 2 Type II and other compliance initiatives

• Build monitoring and alerting systems for intrusion detection, audit logging, and anomalous behavior

• Help secure our backend (Go microservices), frontend (React/TypeScript), and desktop/mobile apps

• Work with engineering to embed secure development practices into our CI/CD pipelines

Education Requirements:

• A CS degree from a top university

Experience Requirements:

• 4+ years of experience in machine learning engineering, building and deploying ML systems in a fast-paced startup environment.

• Significant experience at venture-backed startups and/or big tech companies

• Demonstrated experience in growing, building, and scaling production ML systems at high-growth startups

Responsibilities:

• design, build, and ship production ML systems that drive real-world customer impact.

• You’ll collaborate directly with customers to understand real-world data and needs.

• You’ll design retrieval and ranking pipelines, productionize LLM applications, and optimize system performance

Education Requirements:

• A CS degree from a top university

Experience Requirements:

• 2+ years of experience in full-stack engineering, building products in a fast-paced startup environment.

• Significant experience at venture-backed startups and/or big tech companies

• Demonstrated experience in growing, building, and scaling the codebase of high-growth startups

Responsibilities:

• You will own and ship products.

• You’ll talk to customers throughout the day over Teams, video and phone calls.

• You’ll listen to their needs and develop a plan based on the highest priority items.

• You’ll ship code to execute on the plan.

Education Requirements:

• A CS degree from a top university

Experience Requirements:

• 5+ years of experience in full-stack engineering, building products in a fast-paced startup environment.

• Significant experience at venture-backed startups and/or big tech companies

• Demonstrated experience in growing, building, and scaling the codebase of high-growth startups

Responsibilities:

• You will own and ship products.

• You’ll talk to customers throughout the day over Teams, video and phone calls.

• You’ll listen to their needs and develop a plan based on the highest priority items.

• You’ll ship code to execute on the plan.

Education Requirements:

• A CS degree from a top university

Experience Requirements:

• Software engineering internship experience at high-performance companies (e.g., venture-backed startups or top-tier tech companies)

Responsibilities:

• Own and ship high-impact features end-to-end

• Talk directly to customers to identify pain points and rapidly iterate on solutions

• Deploy production code frequently — often multiple times a day

• Work across our stack (Go, React/Typescript, AWS serverless) to move fast and make things real

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• competitive compensation

• attractive equity package

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).

Other Requirements:

• Must be available to work onsite at our brand-new London office

Responsibilities:

• Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.

• Translating complex theoretical insights into scalable, efficient coding implementations.

• Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.

• Building robust experimentation platforms for large-scale training and evaluation of models.

• Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.

Benefits:

• Competitive compensation

• including an early-stage startup equity package

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.

• Translating complex theoretical insights into scalable, efficient coding implementations.

• Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.

• Building robust experimentation platforms for large-scale training and evaluation of models.

• Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.

Benefits:

• Competitive compensation

• including an early-stage startup equity package

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.

• Translating complex theoretical insights into scalable, efficient coding implementations.

• Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.

• Building robust experimentation platforms for large-scale training and evaluation of models.

• Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.