Engineering Director - Enterprise Platforms

Lightning Job By Cutshort⚡

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Company Description

Iksha Labs is a technology company based in Gurugram. We are a strong cross-functional team of designers, software developers, and hardware experts who love creating technology products and services. With our deep expertise across several business verticals, we bring our best practices to ensure a smooth product journey for our clients. We have a passion for healthcare, medical devices, finance, consumer electronics, and other areas where we can build innovative technology solutions. We are constantly learning and expanding our horizons to create novel concepts and products.

Role Description

This is a full-time on-site role for a Machine Learning Engineer at Iksha Labs, located in Gurugram. As a Machine Learning Engineer, your day-to-day tasks will involve pattern recognition, computer science, neural networks, statistics, and algorithms. You will be responsible for developing and implementing machine learning models and algorithms, analyzing data sets, and collaborating with cross-functional teams to deliver high-quality solutions.

Responsibilities:

• Enhance and fine-tune Python code for improved execution speed and memory efficiency, guaranteeing the effective operation of machine learning models in production settings.
• Design methodologies for the periodic updating of machine learning models with fresh data, monitor their performance metrics continuously, and automate the process of model refreshment.
• Set up systems for monitoring and alerts to keep track of the performance, uptime, and overall health of machine learning models in production, addressing any irregularities or issues swiftly.
• Work closely with data scientists and software engineers to seamlessly integrate machine learning models into existing production environments and applications, ensuring smooth deployment and workflow compatibility.
• Establish and uphold guidelines and tools for the versioning, monitoring, and management of machine learning models and their related components across their entire lifecycle.
• Employ SQL and Python for efficient data handling and manipulation, including database querying and enhancement of data retrieval methods.
• Create and sustain detailed documentation for databases, features, codebases, and models to support team collaboration and the sharing of knowledge.
• Engage with diverse teams to ensure that machine learning solutions are effectively incorporated into production systems, with an emphasis on compatibility and scalability.
• Remain abreast of the latest trends in MLOps, DevOps, and associated technologies, adopting innovative tools and practices to advance operational procedures and workflows.
• Offer technical mentorship and support to colleagues, fostering an environment of knowledge exchange and cooperative effort across various disciplines.

Qualifications

• Strong background in pattern recognition, computer science, and statistics
• Experience with SQL
• Experience with cloud platforms such as AWS
• Familiarity with Docker
• Experience with model deployment and monitoring in production environments.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills
• Experience with neural networks and algorithms
• Proficiency in programming languages such as Python or R
• Experience with machine learning frameworks and libraries
• Ability to analyze and interpret complex data sets
• Excellent problem-solving and critical thinking skills
• Strong communication and collaboration skills
• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Experience in the healthcare or finance industry is a plus

What we look for:

We have a unique opportunity as we are looking for a Sales Manager at Epixel Solutions. You have the opportunity to build the sales process from the ground up. This position will be responsible for developing a sales team, coordinating sales operations, and implementing sales techniques that allow the business to meet and surpass its sales targets consistently. You will work with high-profile customers, evaluate budgets, and determine ways to simplify and improve the sales process.

Your tasks often include assigning sales territories, mentoring members of the sales team, setting quotas, assigning sales training, hiring salespeople, and building sales plans. You will also set goals, identify priorities and eliminate redundant activities to increase sales.

Additional duties could find you traveling to client sites, and attending conferences, conventions, and small workshops representing Epixel Solutions.

This position will report to the Chief Growth officer who heads up the Go To Market (GTM) team.

Responsibilities:

The duties and responsibilities of our ideal Sales Manager include:

• Developing and implementing strategic sales plans that expand a company’s customer base and solidify its presence.
• Achieving growth and hitting sales targets by successfully managing sales teams and by assessing the teams' strengths and weaknesses.
• Establishing productive and professional relationships with key personnel in assigned customer accounts.
• Building and promoting healthy, long-lasting customer relations by partnering with them.
• Developing and implementing new sales initiatives, strategies, and programs to capture key demographics.
• Providing daily/weekly/monthly and quarterly reports of field sales success and communicating the Voice of the Customer (VOC) to the reporting manager.

Skills and qualifications:

A successful Sales Manager candidate with Epixel will be the driving force behind our competent sales team and will have a variety of skills and qualifications that include:

• Ability to communicate, inspire and motivate
• Proven ability to drive the sales process from plan to close
• Excellent mentoring, coaching, and people management skills
• Excellent time management skills to maximize their ability to reach goals
• Ability to identify, recruit and hire talented sales reps

Requirements:

Prospective Sales Manager candidates should have a minimum of 5-10 years of experience working in the sales field, preferably in a fast-moving SaaS organization or startup. They should also have a successful and verified track record in leading a sales department to achieve its goals.

The right candidate should be able to identify opportunities in sales and profits and possess knowledge about allocating Sales Representatives to achieve or exceed set sales performance targets. The candidate must be skilled in data analysis and managing customers using customer relationship management (CRM) as this position involves working with a lot of data and prospects.

Familiarity with our tech stack would be a plus (Zoho, Calendly, Google Apps, Redmine)

The Epixel sales team is war-ready to support our international clients and prospects around the clock. Hence, candidates should be flexible working in three different shifts on and off according to business needs.

CoreStack, an AI-powered multi-cloud governance solution, empowers enterprises to rapidly achieve Continuous and Autonomous Cloud Governance at Scale. CoreStack enables enterprises to realize outcomes such as 40% decrease in cloud costs and 50% increase in operational efficiencies by governing operations, security, cost, access, and resources. CoreStack also assures 100% compliance with standards such as ISO, FedRAMP, NIST, HIPAA, PCI-DSS, AWS CIS & Well Architected Framework (WAF). We work with many large global customers across multiple industries including Financial Services, Healthcare, Retail, Education, Telecommunications, Technology and Government.

Responsibilities:

• Part of a Cloud Governance product team responsible for installing, configuring, automating and monitoring various Cloud Services (IaaS, PaaS, and SaaS)
• Be at the forefront of Cloud technology, assisting a global list of customers that consume multiple cloud environments.
• Ensure availability of internal & customers' hosts and services thru monitoring, analysing metric trends, investigating alerts.
• Explore and implement a broad spectrum of open source technologies. Help the team/customer to resolve technical issues.
• Extremely customer focused, flexible to be available on-call for solving critical problems.
• Contribute towards the process improvement involving the Product deployments, Cloud Governance & Customer Success.

Skills Required

• Minimum 3+ Years of experience with a B.E/B.Tech
• Experience in managing Azure IaaS, PaaS services for customer production environments
• Well versed in DevOps technologies, automation, infrastructure orchestration, configuration management and CI/CD
• Experience in Linux and Windows Administration, server hardening and security compliance
• Web and Application Server technologies (e.g. Apache, Nginx, IIS)
• Good command in at least one scripting language (e.g. Bash, PowerShell, Ruby, Python)
• Networking protocols such as HTTP, DNS and TCP/IP
• Experience in managing version control platforms (e.g. Git, SVN)

Job Title: Engineering Manager

Job Location: Chennai, Bangalore
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.

• Own the product development from scratch
• Architect scalable, distributed and large-scale web and mobile solutions from scratch
• Code for fresh development and to troubleshoot and resolve issues
• Writing reusable, testable, and efficient code
• Creating database schemas that represent and support business processes
• Design and implementation of low-latency, high-availability, and performant applications
• Manage a team of   Developers and Interns
• Boost productivity of team by guiding junior employees and setting the right path for the team

• Excellent analytical skills and understanding of computing fundamentals
• At least 5 years of work experience as a Software Developer
• Strong knowledge either of NodeJS or Python
• Experience working with AWS Serverless Technologies(Lambda, ApiGateway, Cognito, DynamoDB)
• Experience with SQL and NoSQL databases
• Experience with CI/CD and automation methodologies
• .Experience and knowledge of open source tools & frameworks, broader cutting-edge technologies around server-side development

‍Expected to manage the product plan, engineering, and delivery of Plum Integration activities. Plum is a rewarding and incentive infrastructure for businesses. It's a unified integrated suite of products to handle various rewarding use cases for consumers, sales, channel partners, and employees. 31% of the total tech team is aligned towards this product and comprises 32 members within Plum Tech, Quality, Design, and Product management. The annual FY 2019-20 revenue for Plum was $ 40MN and is showing high growth potential this year as well. The product has a good mix of both domestic and international clientele and is expanding. The role will be based out of our head office in Bangalore, Karnataka however we are open to discuss the option of remote working with 25 - 50% travel.‍

• Scope and lead technology with the right product and business metrics.
• Directly contribute to product development by writing code if required.
• Architect systems for scale and stability.
• Serve as a role model for our high engineering standards and bring consistency to the many codebases and processes you will encounter.
• Collaborate with stakeholders across disciplines like sales, customers, product, design, and customer success.
• Code reviews and feedback.
• Build simple solutions and designs over complex ones and have a good intuition for what is lasting and scalable.
• Define a process for maintaining a healthy engineering culture (Cadence for one-on-ones, meeting structures, HLDs, Best Practices In development, etc.).

• Manage a senior tech team of more than 5 direct and 10 indirect developers.
• Should have experience in handling e-commerce applications at scale.
• Should have experience working with applications like HubSpot salesforce and other CRM.
• Should have experience in B2B integrations.
• Should have at least 10+ years of experience in software development, agile processes for international e-commerce businesses.
• Should be extremely hands-on, with an Automate as much as possible mind set full-stack developer.
• Should exhibit skills to build a good engineering team and culture.
• Should be able to handle the chaos with product planning, prioritizing, customer-first approach.
• Technical proficiency
• Frameworks like React, React Native, Node.js, GraphQL
• Databases technologies like Elasticsearch, Redis, MySQL, MongoDB, Kafka
• Dev ops to manage and architect infra - AWS, CI/CD (Jenkins)
• System Architecture w.r.t Microservices, Cloud Development, DB Administration, Data Modeling
• Understanding of security principles and possible attacks and mitigate them.

‍You will lead the Plum Integration Engineering team and work in close conjunction with the Tech leads of Plum with some cross-functional stake with other products. Your will report to the CTO directly.

Job Profile - Engineering And Product role

Major Responsibilities

•  Defining the technical specifications and architecture along with overall  product infrastructure.
• Provide creative and unique solutions to accommodate for the versatility and customizations during product development.
• The role would expect you to code and/or conduct code reviews so experience in PHP, java or similar languages would be useful.
• Managing a team of engineers and developers; ensuring quality is met at every process of the development and deployment phases.
• Managing AWS servers to track/monitor/optimize resource utilization and upgrade servers when necessary.
• Ability to understand and collaborate on a complete product lifecycle from concept to execution.
• Implementation of new technologies to optimize product quality and usage.

Key Skills & Competencies:

• 10+ years of expertise working on and managing Technology teams.
• Understanding of Algorithms, data structures and standard coding practices
• Understanding of RDBMS design. Experience in writing complex SQL/NoSQL queries and optimizing queries.
• Very good understanding of collections and multithreading Framework - SpringBoot , JPA.
• Understanding of RDBMS design. Experience in writing complex SQL/NoSQL queries and optimizing queries.