Senior Salesforce Developer

• Strong B2B Sales / UX/UI/Tech solutions Consulting Sales Profile
• Mandatory (Experience 1): Must have 2+ YOE in B2B Tech solutions Sales, with a focus on selling UX/UI services or digital transformation consulting solutions
• Mandatory (Experience 2): Must have direct experience in hunting new leads, fixing meetings, and closing deals with CXO-level stakeholders
• Mandatory (Experience 3): Must have strong consultative selling experience — including handling proposals, pricing, RFPs, and end-to-end sales cycles
• Mandatory (Core Skills 1): Should be confident in outreach via LinkedIn and email
• Mandatory (Core Skills 2): Familiarity with CRM tools (Zoho CRM – added advantage), pipeline management, and reporting
• Mandatory (Company): UX/UI Design Studios OR Software Tech Service companies
• Mandatory (Exclusion): Do not consider candidates from EdTech, hardware sales, SaaS sales

Preferred

• Preferred (Domain): Knowledge of BFSI/Fintech

Preferred Companies

Target Comapnies: UI/UX & Design-Focused Agencies - (Lollypop Design Studio, Yellow Slice, Think Design, 3 Minds Digital, TECHVED Consulting, The Minimalist, Growth Hackers Digital, The Glitch, DesignCoz, F1 Studioz, HumanX, ProCreator, Octet Design Studio, Ungrammary, Onething Design, Iqonic Design, Dipa Inhouse.)

Software Development & Tech Service Startups - (Unico Connect, Robosoft Technologies, Binmile, EvolutionCo, Nimap Infotech, Route Mobile, Matrix Bricks, Probey Services, GwayERP, Miracuves, Avigma Tech, Dcyber TechLab Pvt Ltd, THINKBAR, AdvertSneak Technologies, Viaante, AMELA Technology, Terralogic Solutions Inc, Acumen Cognitive Engineering, Ambab Infotech.)

Large IT Consulting & Enterprise Service Companies - (Tata Consultancy Services (TCS), Infosys, LTIMindtree, Mastek, Onward Technologies, eClerx, Hexaware, Tata Teleservices)

Job Summary:

We are looking for a highly skilled and experienced DevOps Engineer who will be responsible for the deployment, configuration, and troubleshooting of various infrastructure and application environments. The candidate must have a proficient understanding of CI/CD pipelines, container orchestration, and cloud services, with experience in AWS services like EKS, EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc., in a highly available and scalable production environment. The DevOps Engineer will be responsible for monitoring, automation, troubleshooting, security, user management, reporting, migrations, upgrades, disaster recovery, and infrastructure restoration, among other tasks. They will also work with application teams on infrastructure design and issues, and architect solutions to optimally meet business needs.

Responsibilities:

• Deploy, configure, and troubleshoot various infrastructure and application environments
• Work with AWS services like EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc., in a highly available and scalable production environment
• Monitor, automate, troubleshoot, secure, maintain users, and report on infrastructure and applications
• Collaborate with application teams on infrastructure design and issues
• Architect solutions that optimally meet business needs
• Implement CI/CD pipelines and automate deployment processes
• Disaster recovery and infrastructure restoration
• Restore/Recovery operations from backups
• Automate routine tasks
• Execute company initiatives in the infrastructure space
• Expertise with observability tools like ELK, Prometheus, Grafana , Loki

Qualifications:

• Proficient understanding of CI/CD pipelines, container orchestration, and various cloud services
• Experience with AWS services like EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc.
• Experience in monitoring, automation, troubleshooting, security, user management, reporting, migrations, upgrades, disaster recovery, and infrastructure restoration
• Experience in architecting solutions that optimally meet business needs
• Experience with scripting languages (e.g., Shell, Python) and infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation)
• Strong understanding of system concepts like high availability, scalability, and redundancy
• Ability to work with application teams on infrastructure design and issues
• Excellent problem-solving and troubleshooting skills
• Experience with automation of routine tasks
• Good communication and interpersonal skills

Education and Experience:

• Bachelor's degree in Computer Science or a related field
• 5 to 10 years of experience as a DevOps Engineer or in a related role
• Experience with observability tools like ELK, Prometheus, Grafana

Working Conditions:

The DevOps Engineer will work in a fast-paced environment, collaborating with various application teams, stakeholders, and management. They will work both independently and in teams, and they may need to work extended hours or be on call to handle infrastructure emergencies.

Note: This is a remote role. The team member is expected to be in the Bangalore office for one week each quarter.

About us:

At Astra Security, we're not just a team; we're innovators, protectors, and storytellers.

As a U.S. & India based powerhouse, we proudly offer a state-of-the-art Pentest Platform that mimics hacker behaviour. We're not just about finding vulnerabilities; we've discovered 100,000+ of them for our clients! And guess what? We defend against over a million threats daily. 

Our accolades speak for our excellence—from being recognized as ‘The Most Innovative Security Company’ by Prime Minister Narendra Modi to bagging the CyberTech100 title in 2021.

Why Join Us?

Because words are magical, and here at Astra, we believe they can make the digital world safer.

We're on a thrilling journey, and we need You, who can translate intricate technical tales into captivating content. Ready to embark on this cyber-adventure?

Your Mission (If You Choose to Accept):

• Craft content that bridges the gap between tech buffs and novices—think blog posts, white papers, and landing pages.
• Play a pivotal role in content management and project coordination.
• Guide and inspire budding writers on our team.
• Join forces with SEO, development, and design maestros to produce stellar content.
• Ensure every word we publish is a masterpiece—optimised, insightful, and valuable.
• Work with the marketing and frontend developer on the feedback shared and amend design changes.
• Work & come up with design guidelines for the brand

Requirements:

• 4+ years in content writing, especially in SaaS or content marketing realms.
• A flair for SEO and a penchant for NLP.
• The ability to decode complex tech puzzles and pen them down with finesse.
• Organizational prowess, self-driven spirit, and an eagle-eyed attention to detail.
• Prior experience of content marketing would be a big plus. 
• A sprinkle of experience in the cybersecurity world would be the cherry on top!
• Bonus: Familiarity with WordPress/Webflow CMS.

Benefits of joining the Astra Squad:

• Embrace the cosy remote work lifestyle.
• Feel the startup adrenaline pumping through your veins.
• Your brilliance showcased to thousands of eager readers and users.
• Revel in our open, growth-centric ambiance; it's like a digital playground.
• Dive deep into the captivating world of cybersecurity.
• And yes, get ready for some unforgettable workcations—think Chikmagalur & Jim Corbett. 

Job Summary:

We are looking for a motivated and detail-oriented Data Engineer with 1–2 years of experience to join our data engineering team. The ideal candidate should have solid foundational skills in SQL and Python, along with exposure to building or maintaining data pipelines. You’ll play a key role in helping to ingest, process, and transform data to support various business and analytical needs.

Key Responsibilities:

• Assist in the design, development, and maintenance of scalable and efficient data pipelines.
• Write clean, maintainable, and performance-optimized SQL queries.
• Develop data transformation scripts and automation using Python.
• Support data ingestion processes from various internal and external sources.
• Monitor data pipeline performance and help troubleshoot issues.
• Collaborate with data analysts, data scientists, and other engineers to ensure data quality and consistency.
• Work with cloud-based data solutions and tools (e.g., AWS, Azure, GCP – as applicable).
• Document technical processes and pipeline architecture.

Core Skills Required:

• Proficiency in SQL (data querying, joins, aggregations, performance tuning).
• Experience with Python, especially in the context of data manipulation (e.g., pandas, NumPy).
• Exposure to ETL/ELT pipelines and data workflow orchestration tools (e.g., Airflow, Prefect, Luigi – preferred).
• Understanding of relational databases and data warehouse concepts.
• Familiarity with version control systems like Git.

Preferred Qualifications:

• Experience with cloud data services (AWS S3, Redshift, Azure Data Lake, etc.)
• Familiarity with data modeling and data integration concepts.
• Basic knowledge of CI/CD practices for data pipelines.
• Bachelor’s degree in Computer Science, Engineering, or related field.

Job Description:

We are looking for a Business Analyst with strong organizational and planning skills and a proven ability to multitask in a fast-paced environment. We are seeking a high level of motivation and a self-starting attitude, and the ability to work with minimal direction and supervision. The ideal candidate will have a metrics/data-driven analytical mindset of constantly measuring success and driving continuous improvement in tools, content, and programs.

Business Analyst Qualifications / Skills:

• Able to exercise independent judgment and take action on it.
• Excellent analytical, and creative problem-solving skills
• Excellent listening, interpersonal, written, and oral communication skills
• Logical and efficient, with keen attention to detail
• Highly self-motivated and directed.
• Ability to effectively prioritize and execute tasks while under pressure.
• Strong customer service orientation
• Experience working in a team-oriented, collaborative environment.
• BE, MBA Preferable.

Responsibilities:

• Data analysis 
• Business Insights 
• Leadership 
• Influence 
• Strategy 
• Problem structuring 
• Project management

About Mastercard

We are the global technology company behind the world’s fastest payments processing network.

We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless.

We ensure every employee has the opportunity to be a part of something bigger and to change lives.

We believe as our company grows, so should you.

We believe in connecting everyone to endless, priceless possibilities.

Overview Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.

Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.

It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes.

What we are re looking for

• Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
• Have you managed the client independently and effectively?
• Do you want to play a key role in driving a world beyond cash?
• Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need.
• Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
• Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
• Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills
• Works closely with clients/internal stakeholders to understand their business needs and design a technical solution
• Proving viability of the solution through mechanisms like proof-of-concepts
• Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers.
• Self-driven, energetic, creative with ability to work in global teams.
• Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML
• Provide technical leadership to the team members in relevant topics on AI/ML
• Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business
• Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications
• Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
• Consulting and Project Management Experience preferred

Functional and Technical Skills

• Experience in building and implementing AI application in any of the two domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers
• Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process)
• Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
• Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
• Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s.
• Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
• Expertise in classical Machine Learning algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil etc
• Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
• Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning

Qualifications

• Minimum Graduate degree in Mathematics/Computer Science/Engineering