Data Engineer

Experience to enhance our cloud infrastructure and optimize application performance.

- Bachelor’s degree in Computer Science or related field.

- 5+ years of DevOps experience with strong scripting skills (shell, Python, Ruby).

- Familiarity with open-source technologies and application development methodologies.

- Experience in optimizing both stand-alone and distributed systems.

Key Responsiblities

- Design and maintain DevOps practices for seamless application deployment.

- Utilize AWS tools (EBS, S3, EC2) and automation technologies (Ansible, Terraform).

- Manage Docker containers and Kubernetes environments.

- Implement CI/CD pipelines with tools like Jenkins and GitLab.

- Use monitoring tools (Datadog, Prometheus) for system reliability.

- Collaborate effectively across teams and articulate technical choices.

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.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

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.

DevOps Lead Engineer

We are seeking a skilled DevOps Lead Engineer with 8 to 10 yrs. of experience who handles the entire DevOps lifecycle and is accountable for the implementation of the process. A DevOps Lead Engineer is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environments.

Essential Requirements (must have):

• Bachelor's degree preferable in Engineering.

• Solid 5+ experience with AWS, DevOps, and related technologies

Skills Required:

Cloud Performance Engineering

• Performance scaling in a Micro-Services environment

• Horizontal scaling architecture

• Containerization (such as Dockers) & Deployment

• Container Orchestration (such as Kubernetes) & Scaling

DevOps Automation

• End to end release automation.

• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.

• Solid experience in Infra Automation (Infrastructure as Code), Deployment, and Implementation.

• Candidates must possess experience in using Linux, Jenkins, and ample experience in Configuring and automating the monitoring tools.

• Strong scripting knowledge

• Strong analytical and problem-solving skills.

• Cloud and On-prem deployments

Infrastructure Design & Provisioning

• Infra provisioning.

• Infrastructure Sizing

• Infra Cost Optimization

• Infra security

• Infra monitoring & site reliability.

Job Responsibilities:

• Responsible for creating software deployment strategies that are essential for the successful

deployment of software in the work environment and provide stable environment for delivery of

quality.

• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing

automation systems that help to execute business web and data infrastructure platforms.

• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,

and maintaining configuration management.

• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are

accountable for conducting training sessions for the juniors in the team, mentoring, career

support. They are also answerable for the architecture and technical leadership of the complete

DevOps infrastructure.

Responsibilities

1. Requirements Analysis: Collaborate with business analysts and stakeholders to understand and gather requirements for Appian applications.

2. Design and Development: Design, develop, test, and implement Appian applications using the Appian Low-Code Platform. Create process models, user interfaces, business rules, and integrations within the Appian environment.

3. Customization and Configuration: Customize Appian components as per the project requirements. Configure and extend the Appian platform to meet business needs.

4. Integration: Implement integrations with other enterprise systems and external services. Collaborate with integration architects to design and develop efficient and scalable integration solutions.

5. Testing: Conduct unit testing, integration testing, and user acceptance testing for Appian applications. Identify and resolve defects and issues during the testing phases. .

Skillset Required / Mandatory

• Proven experience as an Appian Developer with a strong understanding of the Appian Low-Code Platform.

• Appian certification is highly desirable.

• Solid understanding of software development life cycle (SDLC) and Agile methodologies.

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration skills

Qualifications

 Bachelor’s degree in computer science, Information Technology, or a related field.

 Minimum 4+ years of work experience

Please share your updated cv in pdf format with the following details asap -

1. Current CTC

2. Expected CTC

3. Notice Period

4. Total Experience

5. Relevant Experience in Appian , Agile Methodologies & SDLC

6. Current Location

7. Availability for interview(Please specify time slot for 2 hours for 2 to 3

days in weekdays between 3 - 11 pm )

This role offers flexibility of remote work

Regards,

Preeti Sawant

Pyx Tech Pvt Ltd

We want a developer who has experience with Quickbooks API, who can create a self serve tool, which will map data from other accounting software to QBO

• 2+ years of experience with Node.js
• Expertise in Typescript, AWS, Firebase, MongoDB, and Express

You will be bringing:

• Hands-on experience in writing applications using Node.js (including Socket.io and Express or similar)
• Excellent knowledge of a few of the available databases such as MySQL, MongoDB, etc.
• Proficiency in application deployment on Linux or Ubuntu environments
• Proficiency in JavaScript languages like React and/or Angular, along with a comprehensive experience in open-source frameworks
• Experience in server-client architecture project(s)
• Ability to prioritize in a chaotic and ambiguous environment
• An open, growth mindset when giving and receiving feedback