Integration Engineer

We are hiring SDET 1 / 2 / 3 across levels. This is a high-ownership role where you will help ensure quality across web, mobile, and backend systems in a fast-scaling environment. This is not a traditional QA role. You are expected to think like an owner and take responsibility for quality in production.

Responsibilities:

• Test critical user journeys (booking, assignment, payments, cancellations).
• Perform manual, automation, API, and regression testing.
• Write and maintain test cases and automation for key flows.
• Collaborate closely with engineering and product teams.
• Identify risks early and help ensure smooth, reliable releases.

Requirements:

• Experience in QA / SDET roles (level-based on experience).
• Strong testing fundamentals and problem-solving skills.
• Exposure to automation tools (Selenium / Playwright / Cypress / Appium).
• API testing knowledge (REST, Postman).
• Comfort working in a fast-changing, scaling startup.

Job Description

We are looking for a Data Scientist with 3–5 years of experience in data analysis, statistical modeling, and machine learning to drive actionable business insights. This role involves translating complex business problems into analytical solutions, building and evaluating ML models, and communicating insights through compelling data stories. The ideal candidate combines strong statistical foundations with hands-on experience across modern data platforms and cross-functional collaboration.

What will you need to be successful in this role?

Core Data Science Skills

• Strong foundation in statistics, probability, and mathematical modeling

• Expertise in Python for data analysis (NumPy, Pandas, Scikit-learn, SciPy)

• Strong SQL skills for data extraction, transformation, and complex analytical queries

• Experience with exploratory data analysis (EDA) and statistical hypothesis testing

• Proficiency in data visualization tools (Matplotlib, Seaborn, Plotly, Tableau, or Power BI)

• Strong understanding of feature engineering and data preprocessing techniques

• Experience with A/B testing, experimental design, and causal inference

Machine Learning & Analytics

• Strong experience building and deploying ML models (regression, classification, clustering)

• Knowledge of ensemble methods, gradient boosting (XGBoost, LightGBM, CatBoost)

• Understanding of time series analysis and forecasting techniques

• Experience with model evaluation metrics and cross-validation strategies

• Familiarity with dimensionality reduction techniques (PCA, t-SNE, UMAP)

• Understanding of bias-variance tradeoff and model interpretability

• Experience with hyperparameter tuning and model optimization

GenAI & Advanced Analytics

• Working knowledge of LLMs and their application to business problems

• Experience with prompt engineering for analytical tasks

• Understanding of embeddings and semantic similarity for analytics

• Familiarity with NLP techniques (text classification, sentiment analysis, entity,extraction)

• Experience integrating AI/ML models into analytical workflows

Data Platforms & Tools

• Experience with cloud data platforms (Snowflake, Databricks, BigQuery)

• Proficiency in Jupyter notebooks and collaborative development environments

• Familiarity with version control (Git) and collaborative workflows

• Experience working with large datasets and distributed computing (Spark/PySpark)

• Understanding of data warehousing concepts and dimensional modeling

• Experience with cloud platforms (AWS, Azure, or GCP)

Business Acumen & Communication

• Strong ability to translate business problems into analytical frameworks

• Experience presenting complex analytical findings to non-technical stakeholders

• Ability to create compelling data stories and visualizations

• Track record of driving business decisions through data-driven insights

• Experience working with cross-functional teams (Product, Engineering, Business)

• Strong documentation skills for analytical methodologies and findings

Good to have

• Experience with deep learning frameworks (TensorFlow, PyTorch, Keras)

• Knowledge of reinforcement learning and optimization techniques

• Familiarity with graph analytics and network analysis

• Experience with MLOps and model deployment pipelines

• Understanding of model monitoring and performance tracking in production

• Knowledge of AutoML tools and automated feature engineering

• Experience with real-time analytics and streaming data

• Familiarity with causal ML and uplift modeling

• Publications or contributions to data science community

• Kaggle competitions or open-source contributions

• Experience in specific domains (finance, healthcare, e-commerce)

Company Overview:  

At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.  

We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. 

• Design and solution new integrations/APIs and update existing API functionalities (enhancements or bugfixes) on Integration Services like Logic Apps, BizTalk, SSIS, Stream Sets etc.
• Identify opportunities, propose & implement solutions to improve integrations/middleware solution delivery process efficiency, KPI performance, customer experience and deliver value.
• Ability to guide and train developers on Integration/API tools as required and provide coaching and mentoring.
• Ability to lead design, development, testing, deployment of integrations using Azure Services.
• Ability to lead the Integration solutions for various SaaS/Market standard programs and complex project delivery with the help of Integration developers.
• Ability to design & develop integration frameworks considering all relevant artefacts including, security, governance, error handling, requirement traceability and access management.
• Strong analysis and communication skills. Able to manage conflict and misalignment within the team and with the business.
• Dedicated to project or product work for the majority of the year working in business and functional natural teams and establish Cross-Org performance management including effective participation in natural teams
• Presenting the changes to the Integration CoE and landscape managers during the Design review, Code review, Delivery Review and Pre-CAB/CAB meetings to receive required approvals.
• Strong engagement skills, working with stakeholders at all levels on regular basis; Ability to pro-actively engender a strong sense of community and team working.
• Expected to play a pivotal role in onboarding and building new cloud-based integration/API solutions, streamline and standardize the interfaces.
• Should be able to take ownership of deliverables and conduct reviews review board and seek signoffs

• Desired Skills and Experience.
• University degree or college diploma in Computer Sciences or related major Excellent communication skills – both verbal and written University degree or college                                                            diploma in Computer Sciences or related major.
• 8+ years programming and software development experience 6+ years .NET programming experience 4+ years BizTalk development experience
• Strong understanding of EAI, SOA, and ESB architecture Strong understanding of and experience with Object Oriented design and development Solid understanding of enterprise integration patterns
• Solid understanding of software development patterns.

Experience: 4+ Years

Job Location: Remote 

Work timings : 2.30 pm -11.30 pm

 Hiring: ServiceNow Event Management Specialist | (Immediate joiners )

Experience : 5–10 Years |

Location : Bangalore

Mode: Hybrid ( Weekly 3 days office ) US Shift ( 4 PM – 1 AM )

🧩 Key Responsibilities

Hands-on configuration and integration of ServiceNow Event Management module

Design and maintain Workflows, Sub-flows, and Flow Designer automations

Integrate with monitoring tools such as SolarWinds, Dynatrace, Splunk, or similar

Work with Regex, JavaScript, PowerShell, Python, or Linux scripting

Build and optimize REST API integrations

Configure event correlation, alerting workflows, and incident generation

Support production implementations and upgrades as part of a US Eastern Time support model

🧠 Must Have Skills

✅ ServiceNow Event Management (hands-on)

✅ Workflows / Flow Designer / Sub-flows

✅ Integration with SolarWinds, Splunk, Dynatrace (or similar)

✅ JavaScript, API integration, scripting (Python / PowerShell)

✅ Strong understanding of ITIL and Incident Management processes

✅ Willingness to work 4 PM – 1 AM IST

TECHNICAL SKILLS AND EXPERIENCE:

● Profound Experience in client handling/communication from the beginning till the successful.

◾ Generate business through online portals like Upwork, Fiverr, Freelancer etc.

◾ Bringing new projects through bidding, Client communication, Proposal making/writing.

◾ Experience in handling Indian and International clients.

◾ Must have Excellent Written communication & Writing Skills.

should have 1-2 years exp in Telecom products like Ericsson , mitel, avaya , ip based pbx , video conference and troubleshooting 

Position: Inside Sales Manager

About Simplilearn:

Simplilearn.com is the world’s largest professional certifications company and an Onalytica Top 20 influential brand. With a library of 400+ courses, we've helped 1 million+ professionals advance their careers, delivering $5 billion in pay raises. Simplilearn has over 1000 employees worldwide and our customers include Fortune 1000 companies, top universities, leading agencies and hundreds of thousands of working professionals. We are growing over 200% year on year and having fun doing it.

Who are we looking for?

This role would be part of the B2C sales function for our India / International Business Groups. He/she would drive the new customer acquisition, customer relationship management, Operations & reporting.

What should you do?

• New Customer Acquisition

• Conversion of leads received through various marketing channels

• Preparing short-­­term and long-­­term sales plan towards reaching the assigned goals

• Consistently achieve revenue targets in line with team/organizational objectives

• Proactively identifying cross-­­selling/up-­­selling opportunities with the existing customers

• Identifying references through the existing customer base to increase the sales pipeline

• Customer Relationship Management

• Understand the customer requirement and pass on the insights towards the product portfolio improvement based on the customer interaction/feedback

• Key Account Management

• New account development

• Operations and Reporting

• Managing pre-­­sales to post-­­sales support activities for the assigned products/geographies and ensuring the highest customer satisfaction