Finance Executive

JOB DETAILS:

- Job Title: Lead DevOps Engineer

- Industry: Ride-hailing

- Experience: 6-9 years

- Working Days: 5 days/week

- Work Mode: ONSITE

- Job Location: Bangalore

- CTC Range: Best in Industry

Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)

Criteria:

1.   Candidate must be from a product-based or scalable app-based start-ups company with experience handling large-scale production traffic.

2.   Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant

3.   Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members at least)

4.   Own end-to-end infrastructure right from non-prod to prod environment including self-managed

5.   Candidate must have Self experience in database migration from scratch 

6.   Must have a firm hold on the container orchestration tool Kubernetes

7.   Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

8.   Understanding programming languages like GO/Python, and Java

9.   Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

10.   Working experience on Cloud platform -AWS

11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.

Description

Job Summary:

As a DevOps Engineer at company, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.

Job Responsibilities:

● Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs

● Codify our infrastructure

● Do what it takes to keep the uptime above 99.99%

● Understand the bigger picture and sail through the ambiguities

● Scale technology considering cost and observability and manage end-to-end processes

● Understand DevOps philosophy and evangelize the principles across the organization

● Strong communication and collaboration skills to break down the silos

Job Requirements:

● B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience

● Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant

● Must have a firm hold on the container orchestration tool Kubernetes

● Must have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

● Strong problem-solving skills, and ability to write scripts using any scripting language

● Understanding programming languages like GO/Python, and Java

● Comfortable working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

What’s there for you?

Company’s team handles everything – infra, tooling, and self-manages a bunch of databases, such as

● 150+ microservices with event-driven architecture across different tech stacks Golang/ java/ node

● More than 100,000 Request per second on our edge gateways

● ~20,000 events per second on self-managed Kafka

● 100s of TB of data on self-managed databases

● 100s of real-time continuous deployment to production

● Self-managed infra supporting

● 100% OSS

• Familiarity with the ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC)
• 5 years of development experience using C# .NET
• Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3
• Familiarity with architecture styles/APIs (REST, RPC)
• Understanding of Agile methodologies
• Strong attention to detail
• Excellent troubleshooting and communication skills
• Knowledge of REST and RPC APIs
• Able to work well in a team setting

Type, Location

Mumbai, Maharashtra, India

Desired Experience

4+ years

Roles and Responsibilities :

Skills required :

• Strong knowledge of javascript programming, ReactJS, HTML5, CSS3, SASS, ES6 Strong knowledge of modern responsive design techniques
• Strong knowledge of stateless microservices (node/java/etc..), HTTPS/REST, JSON, Webpack/Grunt/Gulp
• Very good understanding and implementation experience of web application UI using OpenID Connect login/authentication
• Version Control – Git, CI/CD of UI projects(e.g. CircleCI, Travis CI, Jenkins), configuration and deployment of static UI assets

Must have skills :

• Must have at least 4 years of industry experience in white labeled Front End web application design & development
• Experience in Test Driven Development, Front End testing and performance optimization (e.g. Jest, unit testing, end-to-end testing)

JAVA SPRING BOOT

Mandate Skills: Java+Springboot (Mandatory), Angular is add on

This is Java lead developer role based in Pune India. You should be ready to take challenges and passionate about CI/CD practices. You should be a good team player with excellent sense of ownership & responsibility. Technical skills :

• You have experience building applications on Spring Framework, Springboot & RESTFul web services is must.

• Hands on experience in Front-End technologies such as Angular JS is preferable.

• You have experience working on Unix / Linux.

• You have DB query experience on Oracle.

• Effective & clear communication Understands the value of diversity in the workplace and is dedicated to fostering an inclusive culture in all aspects of working life so that people from all backgrounds receive equal treatment, realize their full potential and can bring their full, authentic selves to work.

This Social Media Executive is suited for someone with an entrepreneurial spirit and wants to get a first-hand experience in various things that happen in a new organization. A candidate that doesn’t mind about living any challenging experience by owning it to self.

Candidate will be given responsibilities of supporting (including but not limited to) social media strategy planning, online advertising, promotions, & Ad-Campaigns. He/she will monitor and create aggressive marketing on Instagram & Facebook and create engaging content for blogs, forums and other social networks like Facebook, Twitter, Instagram, LinkedIn, Quora, Pinterest, etc.

He/she will optimize our website, blogs and social media content for maximum reach and impact (e.g. SEO/SEM) by using keyword analysis and cost/benefit analysis. They will develop a content calendar on a weekly and monthly basis.

Our company’s culture is unique in that we truly live by our values of friends first, integrity and doing the right thing.

Title 

ML Product Manager

Reporting to 

Sr. Director of Product Management

About the role

We are looking for a Product Manager for our AI/ML Product team that is responsible for delivering ML powered products and applications such as Campaign recommendations and personalization.

As part of the team, the candidate will lead the full product lifecycle of the product, including market research, competitive analysis, gathering requirements, developing specifications, and getting the product developed and delivered to customers. 

You will help transform ideas into AI products for our customers and drive adoption working with cross functional teams.

What You'll Do

• Own product feature from market research, execution, go-to-market and impact evaluation.
• Review customer feedback, analyze impact and prioritize it, and convert into clearly defined product requirements to create a feature backlog
• Write product specs, define product UI with the UX team, review test plans.
• Collaborate with Engineering in product development, validating builds and driving releases to meet target dates.
• Be the product champion. Document product functionality and train the organization on new features. Define the value proposition of your products and guide marketing / sales in selling your products. 
• Facilitate in data-driven decision making and create the telemetry and metrics required to evaluate the success of the products you launch.
• Define and drive internal and external pilots prior to releases to gather early feedback and ensure adoption of new features and functionality. 

What You'll Need

• 4+ years of Product Management experience in an enterprise B2B/B2B2C SaaS company building products in one or more of the following domains: marketing cloud products, such as Campaign Management, Segmentation, Marketing Automation
• Experience working on AI/ML projects and applications, Data & Analytics
• Experience working in Agile development environment  
• Strong analytical and problem-solving skills
• Strong communication skills 
• Self-starter, detail-oriented
• Technical background required. MBA is a strong plus.

Bonus Points if You Have

• Familiarity with multi-cloud environments
• Familiarity with Enterprise Data Platforms, CDP and Enterprise Integrations 

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification

• Generate new revenue, identify and close new opportunities, aggressively prospect for new accounts and follow up leads.

• Identify potential clients in the target market and complete appropriate research on the prospective client’s business and equipment needs
• Generate lead by cold/Hot calls, Emails, social media and client visits
• Collaborating with management on sales goals, planning, and forecasting; maintaining short- and long-term business development plans. 
• Constantly gather and report insights on competitive activity, market shift, opportunities and threats.
• Create new Revenue generation ideas and techniques.
• Build strategy to explore new areas to expand Background Check and verification services
• Should be responsible for complete sales cycle from initiation to closure.