SEO Executive

We are looking for an experienced Cloud & DevOps Engineer to join our growing team. The ideal candidate should have hands-on expertise in cloud platforms, automation, CI/CD, and container orchestration. You will be responsible for building scalable and secure infrastructure, optimizing deployments, and ensuring system reliability in a fast-paced environment.

Responsibilities

• Design, deploy, and manage applications on AWS / GCP.
• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI/CD.
• Manage containerized workloads with Docker & Kubernetes.
• Implement Infrastructure as Code (IaC) using Terraform.
• Automate infrastructure and operational tasks using Python/Shell scripts.
• Set up monitoring & logging (Prometheus, Grafana, CloudWatch, ELK).
• Ensure security, scalability, and high availability of systems.
• Collaborate with development and QA teams in an Agile/DevOps environment.

Required Skills

• AWS, GCP (cloud platforms)
• Terraform (IaC)
• Docker, Kubernetes (containers & orchestration)
• Python, Bash (scripting & automation)
• CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD)
• Monitoring & Logging (Prometheus, Grafana, CloudWatch)
• Strong Linux/Unix administration

Preferred Skills (Good to Have)

• Cloud certifications (AWS, Azure, or GCP).
• Knowledge of serverless computing (AWS Lambda, Cloud Run).
• Experience with DevSecOps and cloud security practices.

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

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Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

Flexiple's infrastructure is heavily powered by Ruby on Rails, and we're keen to onboard smart Ruby developers with some experience on JavaScript to help us build amazing web apps!

You'll be part of Flexiple's core engineering team and get a chance to work on multiple Ruby/JS apps, that are built for performance & scale. A typical day of engineering work at Flexiple would involve backend ruby work and getting your hands dirty in the frontend.

Our apps are built for internal & external users, and a few of them get 1 million+ monthly hits! We'd love for you to help us build performant systems that function at such scale.

We don't make compromises in design or code and all our apps are robust, fast and well-tested. However, we also focus equally on speed of development, which is typical of the startup dev culture. So you'll see the best of both worlds at Flexiple!

This is a fully remote position that can be done from anywhere. The CTC can be increased based on the experience of the individual (up to 20 lpa).

If you're backend Ruby developer, who also loves to tinker on the frontend, then this is the right opportunity for you.

• Build & deploy robust, well-tested products/features that are used by millions of users.
• Write crisp, clean & efficient Ruby and JavaScipt code, with equal focus on being easy to maintain and debug.
• Write clean & elegant CSS to bring static wireframes/mockups to life.
• Communicate effectively, contribute to improving the dev processes and brainstorm ideas.
• Share feedback with others, mentor your teammates and grow as a part of the team.
• Stay up-to-date with the latest technologies.

First week:

• Join the team, understand Flexiple's practices & processes.
• Set up your local dev environment
• Get familiar with our tech stack & products.
• Create your first pull request.

First month:

• Get acquainted with the different products and their business domain.
• Contribute actively to the development of one or more products.
• Develop a deeper understanding of Flexiple's product suite, technology and processes.

First six months:

• Contribute actively to product planning, software development, testing and maintenance.
• Suggest and implement improvements to our dev processes and codebase.
• Lead tech initiatives for Flexiple's products.

• 1+ years of software development experience
• Past experience with Ruby on Rails and HTML/CSS/JavaScript
• Developed at least 2-4 production-quality web apps (at work or personal projects; can be any technology/ stack)
• Excellent grasp over algorithms and data structures
• Ability to learn and master new technologies quickly
• Passionate about building robust web/ mobile/ desktop apps and stay updated with the latest technologies/ frameworks
• Outstanding written and communication skills

• A fully remote (work from anywhere) role
• Receive a more-than-competitive salary plus benefits
• A flat and transparent culture
• Support for setting up home office
• Enjoy a culture with opportunities for growth and learning

You will be directly working with Hrishikesh, co-founder at Flexiple. More about him can be found on his https://www.linkedin.com/in/hrishikeshpardeshi/">LinkedIn and https://twitter.com/hrishiptweets">Twitter profiles.