Benefits:

• Healthcare

• Vision

• Dental

• Flexible hours

• Equity (up to 0.5%)

Experience Requirements:

• 5+ years in a DevOps, Site Reliability, or Infrastructure role

• Experience in being part of an on-call rotation

• Strong experience managing Kubernetes clusters in production

• Advanced knowledge of PostgreSQL

• Proficiency with IaC tools like Ansible

Other Requirements:

• Ability to diagnose and resolve operational issues (with tools like Grafana)

• Comfort working in a fast-paced, iterative environment

• Passion for generative AI and creativity tools (Nice to have)

• Experience with GPU-based infrastructures (Nice to have)

• Previous startup experience (Nice to have)

• Some knowledge of C# (Nice to have)

• Familiarity with AWS / GCP (Nice to have)

• Solid scripting skills (Bash, Python, etc.) (Nice to have)

Responsibilities:

• Own and evolve our infrastructure, CI/CD pipelines, and deployment processes

• Monitor and improve system reliability, availability, and performance

• Automate provisioning, scaling, and maintenance of cloud services

• Collaborate with backend and frontend teams to ensure smooth deployments

• Manage cloud cost optimization and usage monitoring. Handle incident response and root cause analysis Improve observability across our services (logs, metrics, traces). Keep our infrastructure secure and up-to-date with best practices

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge foundation models using Transformers, SSMs and hybrid models.

• Work closely with our research team and product engineers to serve our suite of products in a fast, cost-effective, and reliable manner.

• Design and build robust inference infrastructure and monitoring for our products.

Experience Requirements:

• Minimum of 3 years of experience as a Power BI Developer or similar role.

• Strong SQL skills and experience with data warehousing concepts.

• Experience with data transformation and data wrangling techniques.

Responsibilities:

• Collaborate with business stakeholders to understand their data and reporting needs.

• Maintain strong relationships with business units, ensuring alignment between technical solutions and business objectives.

• Design, develop, and maintain data warehousing solutions to support data transformation, wrangling, and storage needs.

• Utilize data transformation and wrangling techniques to clean, reshape, and prepare raw data for analysis.

• Write and optimize complex DAX calculations to provide meaningful insights from data.

Responsibilities:

• Work with the Visualization team to design, develop, and maintain data warehousing solutions supporting data transformation, wrangling, and storage needs.

• Understand and utilize data transformation and wrangling techniques to clean, reshape, and prepare raw data for analysis.

• Learn to write and optimize complex DAX calculations to provide meaningful insights from data.

• Learn to create and manage Power Query transformations to clean, transform, and shape data for reporting.

• Assist in developing interactive and visually appealing dashboards and reports using Power BI.

Experience Requirements:

• 5+ years experience with Big Data Technologies such as Spark, Kafka, Lakehosue in a customer-facing, technical architecture or consulting role.

• Experience in the field of Artificial Intelligence, with a focus on NLP, Deep-Learning, chatbots and Generative AI.

Responsibilities:

• Set-up a Gen AI Lab as a service offering for the target market and build market relevant use cases as tangible evidence of Lab’s capabilities.

• Take part in high impact content creation for marketing purposes as a Thought Leader.

• Ensure customer success by increasing focus and technical accountability to customers who need guidance to accelerate adoption of Databricks Intelligence Platform, helping them maximise the value they get from platform and the return on investment.

• Act as a subject matter expert on Generative AI capabilities, presenting to clients and internal stakeholders to showcase the value proposition and potential applications.

• Serve as the primary point of contact and thought leader for Generative AI expertise within the organisation.

Responsibilities:

• Assist in developing and refining AI models under the supervision of senior AI engineers.

• Participate in the deployment of machine learning algorithms and models into production environments.

• Support the maintenance and improvement of existing AI systems.

• Engage in data pre-processing, cleaning, and analysis to prepare datasets for model training.

• Contribute to the implementation of natural language processing, computer vision, and other AI technologies.

Benefits:

• Возможность стартануть карьеру в IT

• Вы будете работать в адекватной команде где нет «начальников» t Официальное трудоустройство по букве закона

Responsibilities:

• Выявлять потребности клиентов

• Консультировать клиентов по возникающим вопросам

• Помогать клиенту решать его задачу, окружая вниманием и заботой

• Изучать функционал бот-платформы TWIN

• Тестировать работу ботов

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• Strong AI Applied Researcher with experience building complex AI applications.

• Experience with NLP, ML algorithms

• Experience contributing to research projects from PoC stage to production

• Experience with LLMs, Agents and RAG - Advantage

• Experience using LLMs / Deep Learning models - Advantage

Other Requirements:

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

• A great communicator and team player.

Responsibilities:

• Research and optimization agentic flows to solve complex problems

• Participate in PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• Strong AI Applied Researcher with experience building complex AI applications.

• Experience with NLP, ML algorithms

• Experience contributing to research projects from PoC stage to production

• Experience with LLMs, Agents and RAG - Advantage

• Experience using LLMs / Deep Learning models - Advantage

Other Requirements:

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

• A great communicator and team player.

Responsibilities:

• Research and optimization agentic flows to solve complex problems

• Participate in PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Health, Dental, and Vision Insurance

• Stay Healthy subsidy (for gym and sports)

• Unlimited PTO

• Paid Paternity and Maternity Leave

Education Requirements:

• Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field.

Experience Requirements:

• Proven experience (5 years) in engineering management or a similar leadership role.

• Strong technical background.

• Excellent project management skills, with a track record of successful project delivery.

• Demonstrated ability to lead and inspire a team, fostering a positive and collaborative work environment.

Other Requirements:

• Strong communication skills, both written and verbal, in English and Portuguese.

• Problem-solving and critical-thinking skills with attention to detail.

• Familiarity with cybersecurity is a plus.

Responsibilities:

• Lead, mentor, and develop a high-performing engineering team.

• Foster a customer centric culture of collaboration and continuous improvement.

• Provide guidance and support to team members, promoting their professional growth.

• Oversee the planning, execution, and delivery of engineering projects.

• Develop project timelines, allocate resources effectively, and ensure project milestones are met.

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