As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working with modern development frameworks and following agile methodologies to ensure the delivery of scalable and efficient software that meets unique business requirements. Collaboration with team members and stakeholders is an integral part of the daily routine to align development efforts with project goals and timelines, fostering continuous improvement and innovation.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
- Maintain and enhance existing software applications to improve performance and user experience.
- Document development processes, code changes, and technical specifications to support knowledge sharing.
- Assist junior team members by providing guidance and support to foster their professional growth.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in ServiceNow App Engine.
- Good To Have Skills: Experience with ServiceNow, ServiceNow IT Service Management.
- Strong understanding of software development life cycle and agile methodologies.
- Ability to design and implement scalable and maintainable software components.
- Experience in troubleshooting and resolving complex technical issues within custom applications.
- Familiarity with integration techniques and APIs to connect various systems and services.
Responsibilities
As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working with modern development frameworks and following agile methodologies to ensure the delivery of scalable and efficient software that meets unique business requirements. Collaboration with team members and stakeholders is an integral part of the daily routine to align development efforts with project goals and timelines, fostering continuous improvement and innovation.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
- Maintain and enhance existing software applications to improve performance and user experience.
- Document development processes, code changes, and technical specifications to support knowledge sharing.
- Assist junior team members by providing guidance and support to foster their professional growth.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in ServiceNow App Engine.
- Good To Have Skills: Experience with ServiceNow, ServiceNow IT Service Management.
- Strong understanding of software development life cycle and agile methodologies.
- Ability to design and implement scalable and maintainable software components.
- Experience in troubleshooting and resolving complex technical issues within custom applications.
- Familiarity with integration techniques and APIs to connect various systems and services.
Salary : Rs. 0.0 - Rs. 1,68,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
AI/ML Engineer with doc parsing experience Key Responsibilities: Develop and deploy AI/ML models for document parsing, classification, and information extraction. Build end-to-end pipelines for text extraction and data structuring. Improve model accuracy through data preprocessing, feature engineering, and model tuning. Collaborate with product and engineering teams to integrate ML solutions into applications. Ensure scalability and performance of deployed models in production environments. Required Skills & Qualifications: Strong experience in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with document parsing. Develop high-performance backend components and services using RUST. Experience with regular expressions, text cleaning, and data preprocessing
Responsibilities
AI/ML Engineer with doc parsing experience Key Responsibilities: Develop and deploy AI/ML models for document parsing, classification, and information extraction. Build end-to-end pipelines for text extraction and data structuring. Improve model accuracy through data preprocessing, feature engineering, and model tuning. Collaborate with product and engineering teams to integrate ML solutions into applications. Ensure scalability and performance of deployed models in production environments. Required Skills & Qualifications: Strong experience in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with document parsing. Develop high-performance backend components and services using RUST. Experience with regular expressions, text cleaning, and data preprocessing
Salary : Rs. 0.0 - Rs. 1,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :INFYSYJP00005360/565481 - AI/ML Engineer - Document Intelligence
Senior Data Engineer Python
Skills Required: Digital: Python, Digital: PySpark
Relevant Experience Range in Required Skills: 4 to 6 Years
Job Description:
An Azure Data Engineer needs core skills in
-Creating effective and scalable data structures in SQL Python
- Azure Cloud Fundamentals and ETLData Pipelines focusing on integrating, transforming, building and managing end-to-end data pipelines, combining data from several sources and storing data using services like ADLS Gen2- Synapse Analytics- Databricks- Proficiency in administering Azure databases, and securing data, plus strong data modeling and big data tech (Spark)
Responsibilities
Senior Data Engineer Python
Skills Required: Digital: Python, Digital: PySpark
Relevant Experience Range in Required Skills: 4 to 6 Years
Job Description:
An Azure Data Engineer needs core skills in
-Creating effective and scalable data structures in SQL Python
- Azure Cloud Fundamentals and ETLData Pipelines focusing on integrating, transforming, building and managing end-to-end data pipelines, combining data from several sources and storing data using services like ADLS Gen2- Synapse Analytics- Databricks- Proficiency in administering Azure databases, and securing data, plus strong data modeling and big data tech (Spark)
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Specialist Software Engineer - Bigdata
Skills Required: Digital: Big Data and Hadoop Ecosystems, Digital: Scala, Digital: Snowflake
Relevant Experience Range in Required Skills: 4 to 6 Years
Job Description:
1. Will work as an Individual contributor on Big Data Migration Project to Lakehouse migration project.
2. Perform tasks related to migrating testing applications on Snowflake, Snowpark, Apache Spark, Hive, on new retail banking data Lakehouse.
3. Good to have knowledge of DBT.
4. Perform extensive testing of the migrated code, debugging fixing issues.
5. Manage DevOPS as required defined on the project Automate processes wherever required to improve efficiency of testing team.
6. Co-ordinate with diverse geographically located teams to complete assigned activities.
7. Participate in various daily agile ceremonies during the ongoing sprint and complete tasks as required.
8. Conduct bug-free release validations and produce metrics, tests, and defect reports.
9. Assist in developing and enforcing team guidelines.
10. Being spoc for the team and providing information status on ongoing activities on regular basis to management whenever needed.
11. At least 3 to 7 Years of experience on big data platform and at least 2 years of experience in implementing DWH on Snowflake.
12. Proven experience with cloud platforms preferable Azure particularly on data services.
13. Good understanding of distributed computing frameworks like Apache Spark, Hadoop etc.
14. Perform Analysis on existing data storage systems Big Data development of data solutions in Snowflake.
15. High Proficiency in SQL and at least one of the following languages Scala, Python.
16. Experience in working on migrating data from on-premises databases preferably Big Data platform to Snowflake.
17. Expertise in building robust ELT processes, performance tuning of the data pipelines in Snowflake and should be able to trouble shoot the issues quickly.
18. Strong Knowledge on Integration concepts and design best practices Data Modeling data integration, Advanced SQL skills for analysis, standardizing queries.
19. Proven experience in managing and mentoring data engineering teams.
20. Excellent interpersonal skills, with the ability to work across teams and communicate effectively with technical and nontechnical stakeholders.
21. Strong analytical and trouble shooting skills with proven ability to find solutions in complex data environments.
Responsibilities
Specialist Software Engineer - Bigdata
Skills Required: Digital: Big Data and Hadoop Ecosystems, Digital: Scala, Digital: Snowflake
Relevant Experience Range in Required Skills: 4 to 6 Years
Job Description:
1. Will work as an Individual contributor on Big Data Migration Project to Lakehouse migration project.
2. Perform tasks related to migrating testing applications on Snowflake, Snowpark, Apache Spark, Hive, on new retail banking data Lakehouse.
3. Good to have knowledge of DBT.
4. Perform extensive testing of the migrated code, debugging fixing issues.
5. Manage DevOPS as required defined on the project Automate processes wherever required to improve efficiency of testing team.
6. Co-ordinate with diverse geographically located teams to complete assigned activities.
7. Participate in various daily agile ceremonies during the ongoing sprint and complete tasks as required.
8. Conduct bug-free release validations and produce metrics, tests, and defect reports.
9. Assist in developing and enforcing team guidelines.
10. Being spoc for the team and providing information status on ongoing activities on regular basis to management whenever needed.
11. At least 3 to 7 Years of experience on big data platform and at least 2 years of experience in implementing DWH on Snowflake.
12. Proven experience with cloud platforms preferable Azure particularly on data services.
13. Good understanding of distributed computing frameworks like Apache Spark, Hadoop etc.
14. Perform Analysis on existing data storage systems Big Data development of data solutions in Snowflake.
15. High Proficiency in SQL and at least one of the following languages Scala, Python.
16. Experience in working on migrating data from on-premises databases preferably Big Data platform to Snowflake.
17. Expertise in building robust ELT processes, performance tuning of the data pipelines in Snowflake and should be able to trouble shoot the issues quickly.
18. Strong Knowledge on Integration concepts and design best practices Data Modeling data integration, Advanced SQL skills for analysis, standardizing queries.
19. Proven experience in managing and mentoring data engineering teams.
20. Excellent interpersonal skills, with the ability to work across teams and communicate effectively with technical and nontechnical stakeholders.
21. Strong analytical and trouble shooting skills with proven ability to find solutions in complex data environments.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Lead Software Engineer - Application Engineer - (260002XO)
Missions
For our IT center, we are looking for a new, determined and enthusiast colleague who should be responsible for:
Responsibilities:
Design, develop, test and deploy software solutions for backend systems
Establish, monitor and maintain automated testing
Identify and troubleshoot issues with the automated tests
Improve existing testing automation or design more efficient testing
Understand the needs of a product to advise on and design testing strategies
Compile and report results in an automated manner and in real time
Create technical documentation
Research and implement industry advancements
Analyzing and estimating the automation development efforts
Proactively bringing issues and problems to the attention of the team; generating, proposing and implementing innovative solutions to solve them
Coordination of 2+ junior and/or mid team members
Profile
Requirements:
Technical relevant knowledge, IT studies (graduate);
Relevant experience in test automation and software development, 3+ years relevant experience in IT;
Design, implement, test, deploy and document backend solutions;
Knowledge of programming languages Python and Java;
Knowledge of Selenium WebDriver;
Knowledge of SO (Windows, Unix);
Knowledge of GitLab, TestRail or equivalent tools;
Good command of English, both written and spoken;
Solution-oriented person, with determination and ability to respect deadlines;
Strong analytical skills;
Cooperation and team spirit;
Excellent communication and negotiation skills, understanding of business objectives and risks.
DevOps knowledge and skills are a plus
Responsibilities
Lead Software Engineer - Application Engineer - (260002XO)
Missions
For our IT center, we are looking for a new, determined and enthusiast colleague who should be responsible for:
Responsibilities:
Design, develop, test and deploy software solutions for backend systems
Establish, monitor and maintain automated testing
Identify and troubleshoot issues with the automated tests
Improve existing testing automation or design more efficient testing
Understand the needs of a product to advise on and design testing strategies
Compile and report results in an automated manner and in real time
Create technical documentation
Research and implement industry advancements
Analyzing and estimating the automation development efforts
Proactively bringing issues and problems to the attention of the team; generating, proposing and implementing innovative solutions to solve them
Coordination of 2+ junior and/or mid team members
Profile
Requirements:
Technical relevant knowledge, IT studies (graduate);
Relevant experience in test automation and software development, 3+ years relevant experience in IT;
Design, implement, test, deploy and document backend solutions;
Knowledge of programming languages Python and Java;
Knowledge of Selenium WebDriver;
Knowledge of SO (Windows, Unix);
Knowledge of GitLab, TestRail or equivalent tools;
Good command of English, both written and spoken;
Solution-oriented person, with determination and ability to respect deadlines;
Strong analytical skills;
Cooperation and team spirit;
Excellent communication and negotiation skills, understanding of business objectives and risks.
DevOps knowledge and skills are a plus
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Lead Software Engineer - Application Engineer
Lead Developer Big Data Talend ETL - (26000A45)
Missions
Design, develop, and maintain complex ETL pipelines using Talend Big Data components executed on the Spark framework.
Build and manage ETL solutions to ingest data from structured and unstructured sources.
Develop Talend Jobs, Joblets, and custom Java-based components.
Perform installation, configuration, and maintenance of Talend Job Server, TAC Server, and related components.
Optimize Talend jobs for performance, scalability, and parallel execution across multiple environments.
Deploy Talend jobs across environments and support automated deployment pipelines.
Create and manage Context Groups, parameterization frameworks, and custom routines.
Implement robust error handling, monitoring, logging, alerting, and reporting mechanisms.
Write and execute unit test cases and support integration testing.
Participate in performance tuning, troubleshooting, and best-practice recommendations.
Use Talend Administration Console (TAC) for job scheduling, deployment, and administration (advantage).
Provide operational support for data services, including production issue resolution and coordination with platform teams.
Profile
Must‑Have Skills
4+ years of hands-on experience with Talend Big Data ETL platform.
Strong experience developing Talend jobs on Spark-based architectures.
Strong SQL programming skills (preferably SQL Server).
Strong understanding of:
End-to-end ETL lifecycle and data integration fundamentals
Talend core components, transformations, orchestration, and optimization
Joblets, custom components, and Java-based custom logic
Error handling, monitoring, and performance tuning frameworks
Java debugging fundamentals, especially during TAC executions.
Excellent analytical, problem-solving, and troubleshooting skills.
Strong communication skills and ability to collaborate with cross-functional teams.
Big Data & Cloudera Platform Skills (Required)
Advanced development and optimization using Hive and Impala.
Strong hands-on experience with HDFS and Hadoop at the user level.
Solid working knowledge of Linux and command-line environments.
Experience in data modeling and data layout design on HDFS for analytical workloads.
Proven ability in performance tuning of:
Hive and Impala queries
Partitioning strategies and file formats (Parquet, ORC)
Operational support experience involving troubleshooting, monitoring, and coordination with Cloudera platform administrators.
Responsibilities
Lead Developer Big Data Talend ETL - (26000A45)
Missions
Design, develop, and maintain complex ETL pipelines using Talend Big Data components executed on the Spark framework.
Build and manage ETL solutions to ingest data from structured and unstructured sources.
Develop Talend Jobs, Joblets, and custom Java-based components.
Perform installation, configuration, and maintenance of Talend Job Server, TAC Server, and related components.
Optimize Talend jobs for performance, scalability, and parallel execution across multiple environments.
Deploy Talend jobs across environments and support automated deployment pipelines.
Create and manage Context Groups, parameterization frameworks, and custom routines.
Implement robust error handling, monitoring, logging, alerting, and reporting mechanisms.
Write and execute unit test cases and support integration testing.
Participate in performance tuning, troubleshooting, and best-practice recommendations.
Use Talend Administration Console (TAC) for job scheduling, deployment, and administration (advantage).
Provide operational support for data services, including production issue resolution and coordination with platform teams.
Profile
Must‑Have Skills
4+ years of hands-on experience with Talend Big Data ETL platform.
Strong experience developing Talend jobs on Spark-based architectures.
Strong SQL programming skills (preferably SQL Server).
Strong understanding of:
End-to-end ETL lifecycle and data integration fundamentals
Talend core components, transformations, orchestration, and optimization
Joblets, custom components, and Java-based custom logic
Error handling, monitoring, and performance tuning frameworks
Java debugging fundamentals, especially during TAC executions.
Excellent analytical, problem-solving, and troubleshooting skills.
Strong communication skills and ability to collaborate with cross-functional teams.
Big Data & Cloudera Platform Skills (Required)
Advanced development and optimization using Hive and Impala.
Strong hands-on experience with HDFS and Hadoop at the user level.
Solid working knowledge of Linux and command-line environments.
Experience in data modeling and data layout design on HDFS for analytical workloads.
Proven ability in performance tuning of:
Hive and Impala queries
Partitioning strategies and file formats (Parquet, ORC)
Operational support experience involving troubleshooting, monitoring, and coordination with Cloudera platform administrators.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description :- • Lead and contribute towards backend development, • Experience and proficiency with Java and Sprint boot, • Experience with database technologies like Oracle, SQL, MySQL, • Knowledge of Azure DevOps and Azure AD, • Knowledge of Tomcat and Apache, • Ability to work in an Agile environment
Responsibilities
Job Description :- • Lead and contribute towards backend development, • Experience and proficiency with Java and Sprint boot, • Experience with database technologies like Oracle, SQL, MySQL, • Knowledge of Azure DevOps and Azure AD, • Knowledge of Tomcat and Apache, • Ability to work in an Agile environment
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
