Job Description We are looking for an experienced Java Developer who will work closely with the technical lead to identify and establish best practices in the company. Roles and Responsibilities Design and develop features using Core Java, Spring Boot, Microservices and Hibernate Ability to design database schema, develop views and stored procedures Participate in user story grooming, design discussions and proposal of solutions Maintain existing software systems by identifying and correcting software defects Practice standard development process leveraging agile methodologies such as SCRUM and TDD Review and analyze business requirements and provide technical feasibility and estimates Manage development / support functions etc Technical Skills 2+ years of experience into Java Backend development. Excellent in OOPS concepts, system design Strong hands on experience in Java, Spring framework, Hibernate and Microservices Hands-on experience in DB design, SQL, UI Technologies like HTML/CSS, JavaScript, jQuery, etc. Hands on experience in design patterns Experience in Agile software development Familiarity with JIRA, GIT, Maven Experience in working directly with a client Good knowledge in requirement gathering, analysis, and designing You should have Excellent written, verbal communication, and and client-facing skills Exceptional analytical and problem-solving skills The ability to quickly grasp new concepts and learn new technologies The traits of a self-motivated, independent, detail-oriented, and responsible team player. Show more Show less

Key Responsibilities: Generative AI Development ● With 3-5 years of experience ● Develop and implement generative AI models using frameworks like LangChain or Llama-Index. ● Apply prompt engineering techniques to design effective queries and ensure optimal LLM responses for diverse use cases. ● Master advanced LLM functionalities, including prompt optimization, hyperparameter tuning, and response caching. ● Implement Retrieval-Augmented Generation (RAG) workflows by integrating vector databases like Pinecone, Weaviate, Supabase, or PGVector for efficient similarity searches. ● Work with embeddings and build solutions that leverage similarity search for personalized query resolution. ● Explore and process multimodal data, including image and video understanding and generation. ● Integrate observability tools for monitoring and evaluating LLM performance to ensure system reliability. Backend Engineering ● Build and maintain scalable backend systems using Python frameworks such as FastAPI, Django, or Flask. ● Design and implement RESTful APIs for seamless communication between systems and services ● Optimize database performance with relational databases (PostgreSQL, MySQL) and integrate vector databases (Pinecone, PGVector, Weaviate, Supabase) for advanced AI workflows. ● Implement asynchronous programming and adhere to clean code principles for maintainable, high-quality code. ● Seamlessly integrate third-party SDKs and APIs, ensuring robust interoperability with external systems. ● Develop backend pipelines for handling multimodal data processing, and supporting text, image, and video workflows. ● Manage and schedule background tasks with tools like Celery, cron jobs, or equivalent job queuing systems. ● Leverage containerization tools such as Docker for efficient and reproducible deployments Show more Show less

We are looking for data engineers who have the right attitude, aptitude, skills, empathy, compassion, and hunger for learning. Build products in the data analytics space. A passion for shipping high-quality data products, interest in the data products space; curiosity about the bigger picture of building a company, product development and its people. Requirements: Roles and Responsibilities Understand Business requirements and implement scalable solutions. Translate complex technical and functional requirements into detailed designs Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data warehouse/Data Lake/Data Mesh Provide research, high-level design and estimates for data transformation and data integration from source applications to end-use Investigate alternatives for data storing and processing to ensure implementation of the most streamlined solutions. Create end to end data products and productionize them in cloud/in-house servers Technical Skills Minimum 6-10 years of progressive experience building solutions in Big Data environments. Have a strong ability to build robust and resilient data pipelines which are scalable, fault tolerant and reliable in terms of data movement. Hands-on experience of Apache Spark with Python for batch and stream processing. Should have knowledge of experience in batch and stream data processing Exposure working on projects across multiple domains Minimum 6 months of hands-on experience in Apache Kafka. Strong hands on capabilities on SQL and NoSQL technologies. Minimum 3+ years of experience with AWS services like S3, DMS, Redshift, Glue, Lambda, Kinesis, MSK etc. is must have or similar services of either Azure/GCP. Strong analytical/quantitative skills and comfortable working with huge sets of data. Excellent written and verbal communication skills. Show more Show less

Coditas Solutions is seeking a highly skilled and motivated Lead Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects. Roles and Responsibilities Lead the design, implementation, and optimization of machine learning and AI models using Python and R. Develop and deploy scalable predictive models and decision-making systems for business-critical applications. Conduct advanced exploratory data analysis (EDA) to extract actionable insights from structured and unstructured data. Collaborate with data engineers to ensure high-quality, well-structured datasets for training and inference. Own the end-to-end model lifecycle, from development to deployment, monitoring, and continuous improvement. Guide the integration of AI/ML models into enterprise-level production systems in collaboration with software engineering teams. Provide technical leadership, mentoring junior data scientists and driving best practices in ML model development and deployment. Stay ahead of the curve by evaluating and implementing cutting-edge AI/ML advancements, including LLMs and GenAI models. Work closely with stakeholders, product teams, and clients to define business challenges and design AI-driven solutions. Drive model interpretability, explainability, and responsible AI practices within the organization. Technical Skills 6-14 years of hands-on experience in designing and implementing machine learning, deep learning, and AI solutions . Strong programming expertise in Python and R , with proficiency in implementing complex algorithms. Extensive experience with cloud platforms (AWS, Azure, GCP) for deploying scalable machine learning solutions. Proficiency in MLOps practices , ensuring robust model deployment, monitoring, and retraining workflows. Strong background in classical ML algorithms (e.g., linear regression, logistic regression, decision trees, random forests, SVM) and deep learning architectures (CNNs, RNNs, Transformers). Hands-on experience with ML/DL libraries such as Scikit-learn, TensorFlow, PyTorch, Keras, NLTK, OpenCV . Expertise in data preprocessing, feature engineering, and model evaluation for structured and unstructured data. Proven experience in selecting and engineering relevant features to enhance model performance. Understanding of LLMs (Large Language Models) and GenAI technologies , with the ability to optimize their usage for enterprise applications. Strong problem-solving, critical thinking, and analytical skills to drive AI/ML innovations. Exceptional communication and leadership skills , with experience in mentoring teams and collaborating with cross-functional stakeholders. Join our team and be part of a fast-paced and innovative work environment where your expertise will make a significant impact on our organization's growth and success. Show more Show less

Roles and Responsibilities ● Develop scalable, distributed, and high-performance components. ● Should analyze and review requirements from product specifications and provide accurate estimates. ● Should take ownership of the technical aspects of a product vertical. ● Should drive code reviews and develop processes for coding practices. ● Assure adherence to engineering processes. Technical Skills ● We are looking for a Microsoft Technology developer with 3-6 years of experience, who will be able to develop and support existing applications. ● Knowledge of .NET Framework 4.0/4.5 and .NET Core. ● Strong knowledge of designing distributed systems using C#, ASP.Net MVC, WCF/ Web Services, SOA, LINQ, Web API, Entity Framework,Angular. ● Strong ability to apply OOPS Concepts, SOLID principles and Design patterns to complex problem. ● Should be able to design system components which are loosely coupled and high cohesive in order to achieve massive scale. ● Should have strong ability work on MS SQL Server Database and write high performing and optimized queries. ● Should follow good design practices to write scalable, extendable and testable code. ● Should be able to read and understand the existing code in order to further improve or extend the functionality. ● Ability to gather business requirements from clients and extensible and reusable solutions. ● Should have knowledge about cloud computing. ● Strength in designing truly scalable applications. ● Aware & practiced secure application/API programming practices. ● Strong application design skills – high level and low-level design. ● Candidates with Hands-on experience in developing .NET core-based microservices platforms will be highly preferred. You should have: ● Credible experience in C#, Asp.NET MVC and WCF Services, anywhere between 3 and 6 years. ● A good understanding of IIS Architecture, MVC Architectural Pattern, Restful Web API. ● An understanding of how API frameworks are built and analyzed for performance, security & scalability. ● A passion for programming and write good defect-free code. ● An acumen for programming excellence and hunger to see your work successfully in the market. ● Strong communication skills with the ability to communicate with international clients. ● Qualities like ownership, proactive communication, accountability and self-motivation Show more Show less

Coditas Solutions is seeking a highly skilled and motivated Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects. Roles and Responsibilities Design, implement, and optimize machine learning algorithms using R and Python. Work on developing predictive models and decision-making systems. Conduct exploratory data analysis to understand data patterns and insights. Collaborate with data engineers to ensure the availability and quality of data for model training. Deploy machine learning models into production environments. Collaborate with cross-functional teams to integrate models into existing systems. Continuously optimize and improve the performance of machine learning models. Stay updated on the latest advancements in ML algorithms and technologies. Work closely with software engineers to ensure seamless integration of AI/ML solutions. Collaborate with clients to understand their business requirements and customize solutions accordingly. Technical Skills Excellent programming skills with the ability to implement complex algorithms in Python or R. Experience with cloud-based platforms (AWS, Azure, GCP) for deploying machine learning models. Strong experience of minimum 5 years in developing and implementing machine learning algorithms. Experience with model deployment and integration into production systems. Hands-on experience with use of standard classical machine learning libraries such as Scikit learn, NLTK, OpenCV as well as deep learning libraries Tensorflow, PyTorch, Keras. Understanding of machine learning algorithms, techniques, and concepts (linear regression, logistic regression, decision trees, random forests, neural networks, etc.). Experience with data preprocessing, feature engineering, and model evaluation techniques of structured and unstructured data. Proven experience with identifying, creating and selecting relevant features or variables to enhance model performance. Ability to collaborate effectively with cross-functional teams. Previous experience working on real-world AI/ML projects. Should be focused on linear algebra, machine learning, and statistics & probability are preferred. Ability to have a basic knowledge of the LLMs and optimal use of the GenAI models. Strong problem-solving and critical-thinking skills. Excellent communication and collaboration skills. Join our team and be part of a fast-paced and innovative work environment where your expertise will make a significant impact on our organization's growth and success. For more details please visit our social media handles: Show more Show less

Key Responsibilities Lead the design, development, and deployment of enterprise-grade applications using .NET 8 Core (C#). Architect and maintain RESTful Web APIs and integrate them with front-end applications using Angular. Guide and mentor a team of developers on technical and functional aspects of project delivery. Work with Entity Framework Core 8 (EF Core) for efficient data access and management. Manage and optimize databases using MS SQL Server and Cosmos DB. Implement event-driven architectures using Kafka, RabbitMQ, and Service Bus. Ensure seamless DevOps processes including automated deployments, CI/CD pipelines, and version control. Apply object-oriented programming (OOPS) principles and design patterns for clean and maintainable code. Collaborate with cross-functional teams including QA, Product Owners, and UX/UI designers in an Agile/Scrum environment. Maintain code quality through unit testing, peer reviews, and best coding practices. Leverage cloud platforms such as Microsoft Azure or AWS for scalable deployments. Use SSIS, SSRS, and SSAS for data integration, reporting, and analytical processing when Skills and Qualifications : 8- 10 years of hands-on experience in .NET development with strong command over ASP.NET MVC, .NET Core, C#, Web API, and LINQ. Strong front-end experience with Angular, JavaScript, jQuery, and modern UI/UX principles. Advanced understanding of OOPS concepts, software architecture, and design patterns. Solid experience in MS SQL Server and exposure to NoSQL databases (e.g., Cosmos DB). Good understanding of DevOps practices, CI/CD pipelines, and deployment automation. Familiarity with Kafka, RabbitMQ, and Azure Service Bus for messaging and asynchronous processing. Experience with Agile/Scrum methodologies and working in cross-functional teams. Exposure to data warehousing tools like SSIS, SSRS, and SSAS. Excellent problem-solving skills and ability to debug complex systems. Microsoft certifications (e.g., Azure Developer Associate, .NET Certification) are a plus. Experience with containerization (Docker/Kubernetes) is desirable. Familiarity with microservices architecture (ref:hirist.tech)

Company Introduction Coditas is an offshore product development organization comprised of passionate engineers, design thinkers, data scientists, cloud professionals, and other top industry professionals. We offer services spanning the entire length and breadth of software development, including cutting-edge technologies such as Artificial Intelligence, Machine Learning, and Generating AI. With over 200 clients worldwide, we are partners with multi-billion dollar and Fortune 500 clients such as JPMorgan Chase, BCG, KPMG, Reliance, HDFC, IDFC, SunPharma, and many more. Coditas has experienced fast-paced growth thanks to an engineering-driven culture and steadfast philosophies around writing clean code, designing intuitive user experiences, and letting the work speak for itself. Job Description As a Talent Acquisition Executive with expertise in the IT industry, you will be responsible for identifying, attracting, and acquiring top-tier talent to support our dynamic IT projects and initiatives. Your responsibilities will include end-to-end recruitment, stakeholder management, leveraging Applicant Tracking Systems (ATS), and using excellent communication skills to build a high-performing and diverse team. Roles and Responsibilities: Conduct full-cycle recruitment for IT roles, from sourcing and screening candidates to offer negotiation and onboarding. Collaborate closely with hiring managers and other stakeholders to understand their talent needs, develop job descriptions, and create comprehensive recruitment strategies. Utilize various sourcing methods, including job boards, social media, networking, referrals, and other creative channels to identify and engage potential candidates. Review and assess applications and resumes, conduct initial interviews, and coordinate technical assessments to evaluate candidates' skills and qualifications. Manage the applicant tracking system (ATS) to maintain accurate candidate records and streamline the recruitment process. Build and nurture strong relationships with candidates, ensuring a positive candidate experience throughout the recruitment journey. Maintain a deep understanding of industry trends, competitor landscapes, and emerging technologies to effectively compete for top IT talent. Implement diversity and inclusion initiatives to ensure a diverse and inclusive hiring process. Stay up-to-date with labor laws and regulations related to recruitment and employment. You Should Have: Bachelor's degree in Human Resources, Business Administration. Possess 3 to 5 years of experience. Exceptional verbal, and written communication and presentation skills. Ability to work effectively both independently and as part of a team. Good knowledge of the IT industry, including roles, technologies, and market trends. Proven ability to manage multiple tasks and deadlines in a fast-paced environment.

Job Description: We are seeking a seasoned Technical Delivery Manager with expertise in Java and AWS technologies to lead and oversee end-to-end delivery of complex technical projects. The ideal candidate will combine strong technical skills with excellent client-handling capabilities, ensuring projects are delivered on time, within scope, and aligned with client expectations​ Roles and Responsibilities: Delivery Management: Own the successful delivery of multiple Java-based applications and AWS cloud solutions. Define project scope, timelines, and deliverables, ensuring adherence to budgets and quality standards. Manage risks, dependencies, and issues proactively across project lifecycle. Technical Leadership: Provide technical guidance on Java frameworks, AWS architecture, and microservices design patterns. Oversee development, deployment, and maintenance of scalable and secure cloud solutions. Collaborate with technical teams to enforce best practices in coding, DevOps, and CI/CD pipelines. Client Engagement: Act as the primary point of contact for clients, managing expectations and building trust. Translate business requirements into technical deliverables, ensuring alignment with client goals. Deliver status updates and performance metrics to stakeholders regularly. Team Leadership: Lead and mentor technical teams, fostering a collaborative and high-performance culture. Conduct resource planning, skill gap analysis, and training to align team capabilities with project needs. Process and Quality: Implement Agile/Scrum methodologies for iterative development and delivery. Ensure compliance with organizational standards, including security and documentation practices. Resource & Budget Management: Efficiently allocate and manage resources to support project requirements without exceeding budget limits. Track and ensure adherence to project budgets, proactively identifying and addressing any variances. Collaborate with the finance team to provide accurate budget forecasting and financial reporting on projects Innovation in Delivery Approaches: Introduce and implement innovative delivery practices and process improvements to enhance project efficiency and quality. Champion industry best practices and encourage the adoption of tools and techniques that streamline project workflows. Requirements: Bachelor’s/Master’s degree in Computer Science, Engineering, or related field. 10-14 years of experience in software development and delivery with 5+ years in leadership roles. Proficiency in Java, Spring/Spring Boot, and microservices architecture. Expertise in AWS services such as EC2, S3, Lambda, API Gateway, RDS, and IAM. Experience in managing DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Strong understanding of Agile methodologies and project management tools (JIRA, Trello, etc.). Proven ability to manage client relationships effectively and drive business outcomes. Strong interpersonal and communication skills. Ability to balance technical depth with strategic business priorities. Experience in managing distributed teams across geographies. Certification in AWS (Solutions Architect, Developer) or PMP/Agile Scrum Master is a plus

Roles and Responsibilities ● Develop scalable, distributed, and high-performance components. ● Should analyze and review requirements from product specifications and provide accurate estimates. ● Should take ownership of the technical aspects of a product vertical. ● Should drive code reviews and develop processes for coding practices. ● Assure adherence to engineering processes. Technical Skills ● We are looking for a Microsoft Technology developer with 3-6 years of experience, who will be able to develop and support existing applications. ● Knowledge of .NET Framework 4.0/4.5 and .NET Core. ● Strong knowledge of designing distributed systems using C#, ASP.Net MVC, WCF/ Web Services, SOA, LINQ, Web API, Entity Framework,Angular. ● Strong ability to apply OOPS Concepts, SOLID principles and Design patterns to complex problem. ● Should be able to design system components which are loosely coupled and high cohesive in order to achieve massive scale. ● Should have strong ability work on MS SQL Server Database and write high performing and optimized queries. ● Should follow good design practices to write scalable, extendable and testable code. ● Should be able to read and understand the existing code in order to further improve or extend the functionality. ● Ability to gather business requirements from clients and extensible and reusable solutions. ● Should have knowledge about cloud computing. ● Strength in designing truly scalable applications. ● Aware & practiced secure application/API programming practices. ● Strong application design skills – high level and low-level design. ● Candidates with Hands-on experience in developing .NET core-based microservices platforms will be highly preferred. You should have: ● Credible experience in C#, Asp.NET MVC and WCF Services, anywhere between 3 and 6 years. ● A good understanding of IIS Architecture, MVC Architectural Pattern, Restful Web API. ● An understanding of how API frameworks are built and analyzed for performance, security & scalability. ● A passion for programming and write good defect-free code. ● An acumen for programming excellence and hunger to see your work successfully in the market. ● Strong communication skills with the ability to communicate with international clients. ● Qualities like ownership, proactive communication, accountability and self-motivation

We are looking for Senior data engineers who have the right attitude, aptitude, skills, empathy, compassion, and hunger for learning. Build products in the data analytics space. Roles and Responsibilities ● Develop and manage robust ETL pipelines using Apache Spark (Scala) ● Understand Spark concepts, performance optimization techniques, and governance tools ● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform, and load data from various systems to the Enterprise Data Warehouse/Data Lake/Data Mesh hosted on AWS or Azure ● Collaborate cross-functionally to design effective data solutions ● Implement data workflows utilizing AWS Step Functions or Azure Logic Apps for efficient orchestration. ● Monitor, troubleshoot, and optimize pipeline performance and data quality ● Maintain high coding standards and produce thorough documentation. Contribute to high-level (HLD) and low-level (LLD) design discussions Technical Skills ● Minimum 7 years of progressive experience building solutions in Big Data environments ● Have a strong ability to build robust and resilient data pipelines which are scalable, fault tolerant, and reliable in terms of data movement ● 3+ years of hands-on expertise in Python, Spark, and Kafka ● Strong command of AWS or Azure services ● Strong hands-on capabilities on SQL and NoSQL technologies ● Sound understanding of data warehousing, modeling, and ETL concepts ● Familiarity with High-Level Design (HLD) and Low-Level Design (LLD) principles ● Excellent written and verbal communication skills

Coditas Solutions is seeking a highly skilled and motivated Lead Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects. Roles and Responsibilities ● Lead the design, implementation, and optimization of machine learning and AI models using Python and R. ● Develop and deploy scalable predictive models and decision-making systems for business-critical applications. ● Conduct advanced exploratory data analysis (EDA) to extract actionable insights from structured and unstructured data. ● Collaborate with data engineers to ensure high-quality, well-structured datasets for training and inference. ● Own the end-to-end model lifecycle, from development to deployment, monitoring, and continuous improvement. ● Guide the integration of AI/ML models into enterprise-level production systems in collaboration with software engineering teams. ● Provide technical leadership, mentoring junior data scientists and driving best practices in ML model development and deployment. ● Stay ahead of the curve by evaluating and implementing cutting-edge AI/ML advancements, including LLMs and GenAI models. ● Work closely with stakeholders, product teams, and clients to define business challenges and design AI-driven solutions. ● Drive model interpretability, explainability, and responsible AI practices within the organization. Technical Skills ● 6-14 years of hands-on experience in designing and implementing machine learning, deep learning, and AI solutions . ● Strong programming expertise in Python and R , with proficiency in implementing complex algorithms. ● Extensive experience with cloud platforms (AWS, Azure, GCP) for deploying scalable machine learning solutions. ● Proficiency in MLOps practices , ensuring robust model deployment, monitoring, and retraining workflows. ● Strong background in classical ML algorithms (e.g., linear regression, logistic regression, decision trees, random forests, SVM) and deep learning architectures (CNNs, RNNs, Transformers). ● Hands-on experience with ML/DL libraries such as Scikit-learn, TensorFlow, PyTorch, Keras, NLTK, OpenCV . ● Expertise in data preprocessing, feature engineering, and model evaluation for structured and unstructured data. ● Proven experience in selecting and engineering relevant features to enhance model performance. ● Understanding of LLMs (Large Language Models) and GenAI technologies , with the ability to optimize their usage for enterprise applications. ● Strong problem-solving, critical thinking, and analytical skills to drive AI/ML innovations. ● Exceptional communication and leadership skills , with experience in mentoring teams and collaborating with cross-functional stakeholders.

Coditas Solutions is seeking a highly skilled and motivated Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects. Roles and Responsibilities Design, implement, and optimize machine learning algorithms using R and Python. Work on developing predictive models and decision-making systems. Conduct exploratory data analysis to understand data patterns and insights. Collaborate with data engineers to ensure the availability and quality of data for model training. Deploy machine learning models into production environments. Collaborate with cross-functional teams to integrate models into existing systems. Continuously optimize and improve the performance of machine learning models. Stay updated on the latest advancements in ML algorithms and technologies. Work closely with software engineers to ensure seamless integration of AI/ML solutions. Collaborate with clients to understand their business requirements and customize solutions accordingly. Technical Skills Excellent programming skills with the ability to implement complex algorithms in Python or R. Experience with cloud-based platforms (AWS, Azure, GCP) for deploying machine learning models. Strong experience of minimum 5 years in developing and implementing machine learning algorithms. Experience with model deployment and integration into production systems. Hands-on experience with use of standard classical machine learning libraries such as Scikit learn, NLTK, OpenCV as well as deep learning libraries Tensorflow, PyTorch, Keras. Understanding of machine learning algorithms, techniques, and concepts (linear regression, logistic regression, decision trees, random forests, neural networks, etc.). Experience with data preprocessing, feature engineering, and model evaluation techniques of structured and unstructured data. Proven experience with identifying, creating and selecting relevant features or variables to enhance model performance. Ability to collaborate effectively with cross-functional teams. Previous experience working on real-world AI/ML projects. Should be focused on linear algebra, machine learning, and statistics & probability are preferred. Ability to have a basic knowledge of the LLMs and optimal use of the GenAI models. Strong problem-solving and critical-thinking skills. Excellent communication and collaboration skills.

About the Role: As a Business Development Manager (BDM) at Coditas, your core mission is to accelerate the sales pipeline by systematically building and maintaining a high-quality, validated prospect database aligned with Coditas’ Ideal Customer Profile (ICP). You will research target accounts, extract verified contact details of key decision-makers and influencers, and enrich each record with meaningful firmographic and technographic insights. By segmenting prospects by fit and readiness — and leveraging tools like LinkedIn Sales Navigator, ZoomInfo, Crunchbase, Apollo and CRM — you will deliver prioritized prospect lists that enable the Account Executive to engage the right accounts. In addition to data preparation, you will maintain CRM hygiene under the guidance of SDRs and AEs, ensuring all records remain accurate, up-to-date, and properly organized. As the guardian of prospect pipeline quality , you play a pivotal role in helping the sales team work efficiently and effectively — accelerating meaningful conversations and driving conversions. This is a hands-on, detail-driven role for someone who thrives on research, data precision, and contributing to a collaborative, high-performing sales process. What’s in It for You: Full-Stack Data Ownership: Control the entire prospecting workflow—your segmentation logic, enrichment rigor, and list hygiene drive the first spark of every deal. Work with Elite Sellers: Partner & learn closely with high-performing SDR and AEs who rely on your intelligence and pipeline data to open doors and hit revenue targets. Pipeline-Building Platform: See instant cause-and-effect—watch your curated lists turn into booked meetings, qualified opportunities, and closed revenue. Exponential Skill Curve: Master industry-leading tools (HubSpot, ZoomInfo, Apollo, Sales Nav, GPT copilots) and become the resident authority on ICP scoring, intent signals, and data compliance. Merit-Driven Growth: Advance to SDR, AE, or RevOps promotions, incentives, and ESOPs expand strictly with outcomes, not tenure. Culture of Precision & Experimentation: Thrive in a high-trust environment that rewards accuracy, speed, and safe-bet experiments to sharpen targeting and conversion. Your Key Responsibilities: Prospect Research & Data Collection Mine LinkedIn Sales Navigator, Apollo, ZoomInfo, Crunchbase, and AE networks to surface ICP-fit companies and contacts. Apply revenue, head-count, tech-maturity, and trigger filters (funding, hiring, C-suite changes) to zero in on the highest-value accounts. Map each buying center—decision-makers, influencers, gatekeepers, blockers—capturing verified emails, phones, and LinkedIn URLs. Data Enrichment & Contextualization Append firmographics (industry, size, HQ) and technographics (key platforms, adoption level) to every record. Log real-time business signals—funding rounds, leadership moves, product launches—to sharpen outreach timing. Add concise context notes so SDRs and AEs can personalize messaging from the first touch. Database Structuring & Segmentation Clean, de-duplicate, and tag data weekly by fit tier, readiness level, vertical, and persona. Refresh aged records or retire them to keep the pipeline actionable and conversion-ready. Iterate tags and segments as campaign feedback and SDR / AE insights roll in. Weekly Prospect List Curation Package and deliver a validated, segmented prospect list every Monday, aligned with live GTM campaigns. Sync with SDRs and AEs to fine-tune priorities, then adjust lists on the fly as new intel emerges. Track list-to-meeting conversion and recommend tweaks to scoring or targeting logic. CRM Hygiene & Pod Support Keep CRM fields, enrichment data, qualification notes, and attribution history pristine. Execute routine hygiene sweeps—gap fills, field corrections, deduplication—and document every change and conversation. Turn around ad-hoc data requests from SDRs and AEs within 24 hours, ensuring your Sales Team Pod (You + SDR + AE) never stalls for lack of insight. Sample Outputs & Deliverables Prospect Database Tracker – segmented by ICP & Enriched with Intel Weekly Suspect→MQL Conversion Report MQL Scorecard – lead quality analysis by Target Account/Persona Lead Feedback Log – reasons for MQL rejection by SDR or AE You Will Thrive in This Role If You Are… Data-obsessed—segmentation logic and spotless spreadsheets make you smile. Curious & analytical—you keep asking why leads convert (or don’t) until patterns emerge. Tool-savvy— New GenAI efficiency tools, Web Scraping Tools, CRM, data enrichment hacks, and scoring framework feel like everyday extensions of your brain. Collaborative communicator—you keep SDRs and AEs in the loop, always. Disciplined self-starter—high output, zero shortcuts, even at scale. Desired Background: 1–3 years generating B2B pipeline or supporting inside-sales in IT services, SaaS, or demand-gen environments. Bachelor’s in Business, Marketing, Economics, Mass Comm, Data Analytics—or BE/BTech with a sales focus; CRM or HubSpot Sales Hub Software Certified/ LinkedIn Sales Navigator Skills Certification/Sandler Selling System Practitioner Certification will add weight. Good experience of CRM Tools e.g - HubSpot/Salesforce.Zoho/Pipedrive etc. and expert of using tools e.g LinkedIn Sales Navigator, ZoomInfo/Apollo, Clearbit, and advanced Excel/Sheets ; comfortable experimenting with light scraping tools and GPT assistants. Compensation & Benefits: Industry best compensation with handsome incentives Faster Career growth for ‘A Players’ into SDR, AE, or RevOps streams Hybrid work, open feedback culture, and high-ownership environment Ready to Lead the Charge? This is your opportunity to define what success looks like—and then build it. If you’re ready to drive impact, own outcomes, and build a business that matters, drop your CV along with a cover letter to anshu@coditas.com Company Introduction: Coditas is a digital engineering and experience design company known for building scalable, high-performance software products with clean code and exceptional UX. Headquartered in Pune with 800+ technologists, we work with global brands like JPMorgan Chase, HDFC, and Symantec. Our engineering-first culture, focus on quality, and people-centric values make us one of India’s fastest-growing and most respected tech companies. As a GenAI-native company, we're not just adopting generative AI—we're architecting next-gen platforms with it. From AI-powered app modernization to industry-specific GenAI solutions, we empower our teams to lead from the front. If you thrive on innovation, love solving complex problems, and want to shape the future of AI-driven products, Coditas is your playground.

About the Role: We are looking for a sharp, data-driven Sales Development Representative who thrives on turning raw interest into live sales conversations. This is not a script-reading role—it’s your chance to control the moment when a curious lead becomes a real opportunity at a company racing forward. Working hand-in-hand with our BDRs and Account Executives, you will own the entire MQL-to-SQL hand-off: enriching every record, scoring true ICP fit, firing focused phone-email-LinkedIn sequences, running brief discovery to surface pain and urgency, and planting decision-makers firmly on an AE’s calendar—complete with crisp briefs and a spotless CRM trail. You will operate where clean data, sharp messaging, and high velocity meet. With freedom to refine enrichment scripts and test new GenAI prospecting tools, you will keep the pipeline moving fast, feed real-time insights back to Marketing and Revenue Ops, and power the revenue engine one qualified meeting at a time. What’s in It for You Own the MQL → SQL gateway. Your segmentation and scoring rules decide which prospects hit the calendar and how fast the pipeline moves. Run a best-in-class stack. Work daily with Sales Navigator, Apollo, ZoomInfo, sequencing automation, and GenAI helpers that cut prospecting time and boost reply rates. Master multi-channel outreach. Hone phone, email, and LinkedIn cadences, sharpen discovery hacks, and learn to tailor value props for every persona and their pain point for which Coditas can offer a solution. Fast path to closing roles. A clear track to Senior SDR, AE, or Revenue Ops—progress measured by qualified-meeting impact, not tenure. Continuous upskilling. Dedicated budget, playbook labs, and access to micro-SaaS and sales-ops tools so you’re always ahead of market shifts and AI trends. Performance-linked rewards. Competitive base, uncapped meeting bonuses, and ESOP eligibility tied directly to pipeline contribution. Execution-driven culture. High trust, tight feedback loops, and minimal red tape—everything focused on turning smart data into revenue faster. Your Key Responsibilities 🔍 Lead Intake & Prioritization Classify every inbound MQL and BDR lead by ICP, RoE, and LTV buckets Enrich missing firmographics — HQ, India footprint, team size, GCC/BPO status, revenue band Segment into Hot, Warm, and Nurture lists; surface data gaps to Marketing and BDR teams 📞 Multi-Channel Outreach & Nurture Design daily phone-email-LinkedIn cadences with 80 % value, 20 % ask Tailor messaging to persona pains, industry triggers, and engagement history Iterate hooks and send-times with A/B tests to raise open and reply rates 🗣 Discovery & Qualification Run concise discovery calls to uncover pain, budget, authority, need, and timeline Map problems to Coditas services—from GenAI builds to UX modernisation Capture insights in CRM to ensure context-rich hand-offs to AEs 📅 Meeting Booking & Seamless Handoff Secure calendar slots that suit prospects and AEs; attach insight briefs and next steps Confirm attendance, run dry-runs for key accounts, and send MoM within one working day Own meeting quality and be the single point of accountability until AE takes over 🧹 CRM Hygiene & Pipeline Reporting Log every interaction in real time; keep MQL, SQL, SAL, Opportunity, and Deal stages clean Tag activities by source, channel, and persona for accurate attribution Publish a clear weekly pipeline snapshot ahead of the sales stand-up 🚀 Continuous Improvement & Upskilling Pilot GenAI agents and micro-SaaS tools to cut research and follow-up time Share winning scripts, objections, and market insights to refine playbooks Mentor BDRs and track personal metrics to fast-track toward AE or Revenue Ops roles You Will Thrive in This Role If You Are... A Pipeline Accelerator who prides yourself on getting decision-makers to the table and turning raw interest into clear opportunities. A Data Steward —curious, methodical, and driven to keep every record complete, accurate, and actionable. An Opportunity Enabler motivated to unlock qualified conversations, shorten sales cycles, and show measurable pipeline impact. Persistent and Resilient, thriving under high volume and unbothered by rejection or shifting priorities. Process-Oriented and Coachable, eager to refine outreach tactics, absorb feedback, and share wins with the team. Collaborative by default, balancing high personal velocity with a growth-catalyst mindset that lifts BDRs and AEs alike. Desired Background Education – Bachelor’s or Master’s in Business, Marketing, Mass Comm, Economics, Data Analytics, or BE/BTech with a clear sales focus. Certifications in SDR/inside-sales, Python, data analytics, or CRM platforms add weight. Experience – 5–8 years converting buying signals to meetings within B2B Technology Consulting, IT Services, or Tech-enabled businesses, with a track record of high meeting-to-opportunity ratios. Tool Fluency – Daily user of Salesforce or HubSpot or other CRMs, LinkedIn Sales Navigator, ZoomInfo or Apollo, sequencing automation (e-mail + LinkedIn), advanced Excel/Sheets, and light Python or API scripting for data scrapping & enrichment. Process Know-How – Comfortable with ICP and persona scoring, Hot/Warm/Nurture segmentation, BANT/ANUM qualification, and tight CRM hygiene across MQL, SQL, SAL, Opportunity, and Deal stages. Compensation & Benefits: Industry best compensation with handsome incentives Faster Career growth for ‘A Players’ into AE, or Revenue Ops streams Hybrid work, open feedback culture, and high-ownership environment Ready to Lead the Charge? This is your opportunity to define what success looks like—and then build it. If you’re ready to drive impact, own outcomes, and build a business that matters, drop your CV along with a cover letter to anshu@coditas.com Company Introduction Coditas is a AI 1st digital engineering and experience design company known for building scalable, high-performance software products with clean code and exceptional UX. Headquartered in Pune with 800+ technologists, we work with many Fortune 500 global brands as well as well funded Startups. Our engineering-first culture, focus on quality, and people-centric values make us one of India’s fastest-growing and most respected tech companies. As a GenAI-native company, we're not just adopting generative AI—we're architecting next-gen platforms and accelerators with it. From AI-powered app modernization to industry-specific GenAI solutions, we empower our teams to lead from the front. If you thrive on innovation, love solving complex problems, and want to shape the future of AI-driven products, Coditas is your playground.