Senior Development Engineer - Cloud Native

Technical Architect (Databricks)

• 10+ Years Data Engineering Experience with expertise in Databricks
• 3+ years of consulting experience
• Completed Data Engineering Professional certification & required classes
• Minimum 2-3 projects delivered with hands-on experience in Databricks
• Completed Apache Spark Programming with Databricks, Data Engineering with Databricks, Optimizing Apache Spark™ on Databricks
• Experience in Spark and/or Hadoop, Flink, Presto, other popular big data engines
• Familiarity with Databricks multi-hop pipeline architecture

Sr. Data Engineer (Databricks)

• 5+ Years Data Engineering Experience with expertise in Databricks
• Completed Data Engineering Associate certification & required classes
• Minimum 1 project delivered with hands-on experience in development on Databricks
• Completed Apache Spark Programming with Databricks, Data Engineering with Databricks, Optimizing Apache Spark™ on Databricks
• SQL delivery experience, and familiarity with Bigquery, Synapse or Redshift
• Proficient in Python, knowledge of additional databricks programming languages (Scala)

UKG is looking to hire a Lead Software Engineer to join our extremely talented Data Science team. As a Lead Software Engineer at UKG, you’ll be embedded on the Data Science team where you can work on the next generation AI Platform. You’ll get to work directly with other Engineers, Software Testers, Business Analysts, Product Managers, and Directors, all of whom make up the team. In this highly collaborative environment, you will have the opportunity to grow as a software engineer, and even help mentor others.

This position requires excellent object-oriented programming skills and knowledge of design patterns. They will be involved in the deployment of our AI Platform/Services solution on the cloud. The job requires you to be able to design, develop, troubleshoot, and debug complex software applications at the enterprise level. We are looking for a software engineer who is passionate about programming and truly enjoys what they do. The ideal candidate for the Python Engineer position is someone who has a can-do attitude and is an innovative thinker.

UKG works in an agile environment where there are daily stand-ups, code reviews, and constant communication within each self-managed cross-functional team. The ability to communicate effectively with Business Analysts and Software Testers, as well as work closely with other team members are key components for success in this position.

Primary Responsibilities:

• Collaborate with members of the team to solve challenging engineering tasks on time and with high quality.
• Engage in code reviews and training of team members.
• Support continuous deployment pipeline code.
• Situationally troubleshoot production issues alongside the support team.
• Continually research and recommend product improvements.
• Create and integrate features for our enterprise software solution using the latest Python technologies.
• Write web services, business objects, and other middle-tier framework using Python
• Actively communicate with team members to clarify requirements and overcome obstacles to meet the team goals.
• Leverage open-source and other technologies and languages outside of the Python platform.
• Develop cutting-edge solutions to maximize the performance, scalability, and distributed processing capabilities of the system.
• Provide troubleshooting and root cause analysis for production issues that are escalated to the engineering team.
• Work with development teams in an agile context as it relates to software development, including Kanban, automated unit testing, test fixtures, and pair programming.

Qualifications

• 5-8 years experience as a Python developer on enterprise projects using Python, Flask, FastAPI, Django, PyTest, Celery and other Python frameworks.
• Software development experience including: object-oriented programming, concurrency programming, modern design patterns, RESTful service implementation, micro-service architecture, test-driven development, and acceptance testing.
• Familiarity with tools used to automate the deployment of an enterprise software solution to the cloud, Terraform, GitHub Actions, Concourse, Ansible, etc.
• Proficiency with Git as a version control system
• Experience with Docker and Kubernetes
• Experience with relational SQL and NoSQL databases, including MongoDB and MSSQL.
• Experience with object-oriented languages: Python, Java, Scala, C#, etc.
• Experience with testing tools such as PyTest, Wiremock, xUnit, mocking frameworks, etc.
• Experience with GCP technologies such as BigQuery, GKE, GCS, DataFlow, Kubeflow, and/or VertexAI
• Excellent problem solving and communication skills.

Data Scientist is responsible to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products. Your primary focus will be in applying Machine Learning and Generative AI techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. The ideal candidate should have a prior background in Generative AI, NLP (Natural Language Processing), and Computer Vision techniques. Additionally, experience in working with current state of the art Large Language Models (LLMs), and Computer Vision algorithms.

Job Responsibilities:

»    Building models using best in AI/ML technology.

»    Leveraging your expertise in Generative AI, Computer Vision, Python, Machine Learning, and Data Science to develop cutting-edge solutions for our products.

»    Integrating NLP techniques, and utilizing LLM's in our products.

»    Training/fine tuning models with new/modified training dataset.

»    Selecting features, building and optimizing classifiers using machine learning techniques.

»    Conducting data analysis, curation, preprocessing, modelling, and post-processing to drive data-driven decision-making.

»    Enhancing data collection procedures to include information that is relevant for building analytic systems

»    Working understanding of cloud platforms (AWS).

»    Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.

»    Involving in R&D activities to explore the latest advancements in AI technologies, frameworks, and tools.

»    Documenting project requirements, methodologies, and outcomes for stakeholders.

Technical skills

Mandatory

»    Minimum of 5 years  of experience as Machine Learning Researcher or Data Scientist.

»    Master's degree or Ph.D. (preferable) in Computer Science, Data Science, or a related field.

»    Should have knowledge and experience in working with Deep Learning projects using CNN, Transformers, Encoder and decoder architectures.

»    Working experience with LLM's (Large Language Models) and their applications (For e.g., tuning embedding models, data curation, prompt engineering, LoRA, etc.).

»    Familiarity with LLM Agents and related frameworks.

»    Good programming skills in Python and experience with relevant libraries and frameworks (e.g., PyTorch, and TensorFlow).

»    Good applied statistics skills, such as distributions, statistical testing, regression, etc.

»    Excellent understanding of machine learning and computer vision based techniques and algorithms.

»    Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

»    Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Nice to have

»    Exposure to financial research domain

»    Experience with JIRA, Confluence

»    Understanding of scrum and Agile methodologies

»    Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Experience with data visualization tools, such as Grafana, GGplot, etc.

We are looking "Sr.Software Engineer(Devops)" for Reputed Client @ Bangalore Permanent Role.

Experience: 4+ Yrs

Responsibilities:

• As part of a team you will design, develop, and maintain scalable multi cloud DevOps blueprint.

• Understand overall virtualization platform architecture in cloud environments and design best of class solutions that fit the SaaS offering & legacy application modernization

• Continuously improve CI/CD pipeline, tools, processes and procedures and systems relating to Developer Productivity

• Collaborate continuously with the product development teams to implement CI/CD pipeline.

• Contribute to the subject matter on Developer Productivity, DevOps, Infrastructure Automation best practices.

Mandatory Skills:

• 1+ years of commercial server-side software development experience & 3+ years of commercial DevOps experience.

• Strong scripting skills (Java or Python) is a must.

• Experience with automation tools such as Ansible, Chef, Puppet etc.

• Hands-on experience with CI/CD tools such as GitLab, Jenkins, Nexus, Artifactory, Maven, Gradle

• Hands-on working experience in developing or deploying microservices is a must.

• Hands-on working experience of at least of the popular cloud infrastructure such as AWS / Azure / GCP / Red Hat OpenStack is a must.

• Knowledge about microservices hosted in leading cloud environments

• Experience with containerizing applications (Docker preferred) is a must

• Hands-on working experience of automating deployment, scaling, and management of containerized applications (Kubernetes) is a must.

• Strong problem-solving, analytical skills and good understanding of the best practices for building, testing, deploying and monitoring software

Mandatory Skills:

• Experience working with Secret management services such as HashiCorp Vault is desirable.

• Experience working with Identity and access management services such as Okta, Cognito is desirable.

• Experience with monitoring systems such as Prometheus, Grafana is desirable.

Educational Qualifications and Experience:

• B.E/B.Tech/MCA/M.Tech (Computer science/Information science/Information Technology is a Plus)

• 4 to 6 years of hands-on experience in server-side application development & DevOps

Content Operations Specialist 

Location: Work from home

Type: Primarily contract based 

Nature of work: Full-time.

As a Content Operations Specialist at Pratilipi Hindi, you will closely work with our Content Operations lead and other language owners to ensure the delight of millions of readers via content curation. You will be the one who gets to decide which content list goes on our App and Website homepage. You will run writing competitions for thousands of authors. You will focus on the health and hygiene of your language by filtering content from the backend. You will get to decide which content goes into our social media. 

In short - you will own a content funnel in Pratilipi Hindi. We are looking for extraordinarily creative and logical personalities to create great experiences for our authors and build great reading experiences for our readers. 

What we are looking for in a person:

You must be passionate about stories and literature. Strong and commendable verbal and written communication skills in both Hindi and English are a MUST. You are hungry for growth and learning. You should be super organized, take ownership of each initiative, and have a curious mindset to learn new tools and techniques. Proficiency in Microsoft Office and G Suite is required, as is the ability to prioritize tasks and frequently multitask. You must have a deep love for Pratilipi, aspire to work with authors, and make a positive impact in the language literature world.

What you’ll be doing:

• You will be closely working with our Content Operations team and take end-to-end ownership of Writing competitions in your language. You will work on ideas around writing competitions, You will create and translate drafts, rules, and value systems around competitions. You will be in charge of competition results and rewards mechanisms. 
• You will understand user funnels and take up focused initiatives to scale event participation and published content numbers. 
• You will do regular content sanity checks based on necessary metrics and choose the best content for the Pratilipi Premium section.
• You will do awesome vibrant translations of articles whenever required, by fully understanding the content needs.
• You will choose which story goes in front of readers on our Facebook channel. You will select creatives to engage readers in each story. 
• You will be an admin of our large social media page and group, where you will approve daily published content and establish communication and customer success. 
• You will be working on the health and hygiene of the platform by removing pirated content, hate speech, and explicit content. 
• You will read all event content and curate the highest quality event results based on necessary metrics and what is best suited for the Pratilipi community.
• You will reply to user queries over email and help them with any kind of issues related to Pratilipi events. 
• You will be responsible for assisting in the day-to-day content needs of our product managers to run different experiments. Your content would go to millions of readers each day. 

What we offer:

• Work opportunity in a high-growth start-up environment. Be a part of something big, exciting, and meaningful.
• Learn new skills, take on challenging tasks, grow as an individual, and grow within the organization.
• Career development in Content operations, Linguist, Content Management, Community operations, Content writing, or similar fields. 
• Dynamic, creative, and collaborative work environment. Supportive leadership.
• Flexible work hours and better work-life balance
• Work from Anywhere
• Salary up to 20K per month. 

Interview process:

• We won’t look for an experience.
• We would take interviews over a few phone calls and Zoom. 
• Expect one or two assignments once you clear the first round of interviews.

• 1-5 years of experience in building and maintaining robust data pipelines, enriching data, low-latency/highly-performance data analytics applications.
• Experience handling complex, high volume, multi-dimensional data and architecting data products in streaming, serverless, and microservices-based Architecture and platform.
• Experience in Data warehousing, Data modeling, and Data architecture.
• Expert level proficiency with the relational and NoSQL databases.
• Expert level proficiency in Python, and PySpark.
• Familiarity with Big Data technologies and utilities (Spark, Hive, Kafka, Airflow).
• Familiarity with cloud services (preferable AWS)
• Familiarity with MLOps processes such as data labeling, model deployment, data-model feedback loop, data drift.

Key Roles/Responsibilities:

• Act as a technical leader for resolving problems, with both technical and non-technical audiences.
• Identifying and solving issues with data pipelines regarding consistency, integrity, and completeness.
• Lead data initiatives, architecture design discussions, and implementation of next-generation BI solutions.
• Partner with data scientists, tech architects to build advanced, scalable, efficient self-service BI infrastructure.
• Provide thought leadership and mentor data engineers in information presentation and delivery.