What you will do Build end-to-end machine learning models to solve business problems in Marketing Perform feature engineering and support data engineering to build robust data pipelines on large marketing datasets from different sources Collaborate with ML Engineering to build ML Pipelines to Train, Test, Deploy, Serve and Monitor models, Tune Hyperparameters, detect model and data drift and resolve issues Present machine learning models outcomes, and help interpret model predictions to various stakeholders using standard data visualization tools Contribute to designing Experiments to prove hypothesis, and conduct A/B testing Write unit test cases, validation checks, technical documentation, and user stories as per requirements What you will need Must: Experience in all phases of machine learning lifecycle including model selection, training, and evaluation, feature engineering, tuning hyperparameters, and deployment Must: Knowledge of CI/CD, Github Actions, Docker Must: Hands-on experience with Python, Software development concepts (Object-oriented or Functional Programming) Must: Proficient in Tensorflow or PyTorch, Keras, Jupyter Notebooks, GitHub, and SQL Must: Experience with atleast one deep learning and/or Causal Inferencing Must: Experience working in cloud platforms like AWS, and Big data technologies Nice to have: Hands-on experience with A/B Test result analysis and Experimentation Nice to have: Worked with large marketing dataset in Digital Marketing, Google Analytics, Adobe Omniture, etc. Bonus: GenAI or Agentic AI experience Note - Please note that this role requires to work 3 days from office in Bangalore. Plz apply only if you are fine to work from office.
Job Summary We are seeking an experienced Senior Data Testing Lead to manage and guide our Data Testing team. The ideal candidate will bring strong expertise in validating complex data pipelines across heterogeneous systems such as Oracle, PostgreSQL, S3, Apache Iceberg, Redshift, and Qlik. This role demands ownership of the testing lifecycle, from test planning to execution and team leadership. Key Responsibilities Lead the end-to-end data testing efforts across multiple data sources and destinations. Manage and mentor a team of junior data testers, ensuring high-quality deliverables and continuous skill development. Define and implement test strategies, plans, and test cases for: - Data movement from Oracle/PostgreSQL to AWS S3 - Data transformation and ingestion from S3 to Iceberg to Redshift - Data reporting flow from Redshift to Qlik Perform data validations and quality checks, ensuring data accuracy, completeness, and integrity. Collaborate with data engineers, architects, and product owners to understand requirements and provide testing inputs. Maintain detailed test documentation and participate in code/data reviews. Set up and maintain test automation frameworks and reusable test scripts for data validation (optional but preferred). Identify and mitigate data quality risks proactively. Required Skills and Experience 812 years of overall experience with at least 3+ years in leading data testing teams. Strong SQL skills for data profiling, validation, and test scripting. Solid understanding of ETL/ELT testing methodologies. Experience with AWS S3, Apache Iceberg, Redshift, and Qlik is highly preferred. Proven experience in testing data flows from RDBMS (Oracle, PostgreSQL) to cloud data lakes/warehouses. Ability to work independently and manage multiple priorities in a fast-paced environment. Excellent leadership, communication, and stakeholder management skills. Good to Have Familiarity with data test automation tools like DBT, Great Expectations, or custom Python frameworks. Exposure to domain knowledge (e.g., Insurance, Finance, or Healthcare) is a plus. Experience working in Agile/Scrum teams. We are looking for candidates who can join in a months time only.
3 +yrs of exp as Data Engineer Exp in AWS Cloud Services, EC2, S3, IAM Exp on AWS Glue, DMS, RDBMS, MPP Databases like Snowflake, Redshift Knowledge on Data Modelling, ETL Process This role will be 5 days WFO. Plz apply only if you are open to work from office Only immediate joiners required
Responsibilities and Duties - Support the marketing team with campaigns across social media, email, and events to boost DevOns brand visibility - Assist in lead generation activities, including researching potential clients and markets - Participate in sales outreach efforts, such as cold calling, emailing, and following up with prospects - Contribute to the creation of marketing content, including blog posts, presentations, and case studies - Attend client meetings with senior team members to gain insights into consultative selling and relationship building - Help organize and promote DevOn events, webinars, and workshops to attract new business opportunities - Collaborate with different teams (technical, delivery, leadership) to understand DevOn’s offerings and align them with market needs - Provide feedback and new ideas to improve sales and marketing strategies continuously What you’ll gain - Real-world experience in both sales and marketing within a dynamic tech company - Mentorship and learning opportunities from experienced professionals - Opportunity to develop your professional network across multiple markets - Potential to work on your thesis or graduation project at DevOn - A pathway to a full-time role after graduation with growth prospects Qualifications Minimum Qualification Currently enrolled in a Bachelor’s degree in Commercial Economics, International Business, Marketing, or a similar program Experience Open to freshers Specific Skills Fluent in English Job Location Bengaluru, India Personal Characteristics - You thrive on connecting with people and love customer interactions - You’re proactive, communicative, and see yourself as a true hunter who loves to seek out new opportunities - You enjoy networking and building strong relationships - You’re solution-oriented and love working through challenges together with clients - You aspire to work in sales and marketing within the tech industry and are excited about the possibility of staying on after your internship - You’re not afraid to pick up the phone and start a conversation - You’re eager to help organizations transform and grow Perks & Benefits - Healthcare benefits - Exceptional care - Save for tomorrow - Flexi-working benefits - Professional development - Wellness benefits - Family benefits - Financial benefits - F&B benefits Growth path Let’s grow together
-3+ yrs of exp into MS SQL Development -Exp in writing complex SQL Queries -Normalizations -Differnt types of DB schema's ( like fact and dimention table, snowflake schema) -Table joins, Case statements, CTE , Window Functions in SQL. We are looking for immediate joiners only. Plz apply if you are available to join within 2 weeks of time .
What are we looking for A System & Application support engineer with production support experience, handling an ecosystem containing Mobile App/Web App with application layer/business logic/data hosted in cloud infra. This role will provide Regular/advanced operations support, contribute to existing system improvements, and work directly with enterprise customers to provide excellent customer service. Must have skills: 3 To 5 years of experience in Level 2 Application (mobile & web) support Knowledge on cloud monitoring tools such as AWS CloudWatch, Datadog , ELK Debugging log analysis data validation skills to isolate issues Knowledge of AWS Services Hands on experience in Application monitoring, Incident management, SLAs & Escalations Proven experience in using any major ITSM tools (JIRA preferred) Hands on experience with good command on Database (SQL & NO SQL ) handling Good command in Microsoft Office suite Strong analytical and problem-solving skills Willing to work in rotational based 24X7 Shifts Good to have skills: Automotive Connected Car eco system knowledge Experience in Change Management Process Connected car feature understanding QA Testing of Web or Mobile apps What will be the roles and responsibilities Incident handling, Issue analysis, Investigate & Gather necessary data/insights Incident escalation based on workflows In case of priority incidents , bridge the calls with multiple stakeholders and ensure resolution stakeholder is identified and assigned to incident Monitoring Dashboard of cloud applications Monitoring and acting based on the auto-alerts generated from system using runbooks Report creation and publishing to required stake holders Coordinating with multiple stakeholders across different geographies to ensure the ticket closure Execute sanity check for the application (iOS, Android) as & when required Responsible for maintaining the procedures/run books, workflows, work instructions used by the ops team Fulfil any ad-hoc data or report request queries from different functional groups Wer are looking for immediate joiners. Plz apply if you are available to join within 10 days.
Role Overview Were seeking a Senior Operations Engineer to lead the stability, scalability, and reliability of our Java-based microservices platform. In this role, youll own production incident response, guide system architecture for resilience, and drive SRE practices such as SLOs and error budgets. You’ll also work across teams to scale observability, automate toil, and embed operational excellence in every service. Key Responsibilities Lead critical incident response efforts and own the resolution of high-severity outages. Drive root cause analysis and long-term reliability improvements. Architect and maintain observability solutions (Datadog, Prometheus). Define and track service-level objectives (SLOs) and participate in error budget planning. Collaborate with developers on the onboarding of new services with operational readiness standards. Eliminate toil through automation and process optimization. Mentor junior and mid-level engineers, helping define team standards and best practices. Participate in compliance and risk reviews related to operational infrastructure. Skills & Qualifications 5+ years in a technical operations, DevOps, or site reliability engineering role. Deep experience in production operations of microservices (Java/Spring Boot preferred). Expert in Kafka, MongoDB, Kubernetes, Terraform, and CI/CD pipeline management. Strong background in observability (Datadog, ELK, OpenTelemetry) and monitoring best practices. Familiarity with ITIL-aligned processes and a strong bias for DevOps and SRE principles. Leadership presence, ability to influence cross-functional teams, and mentor others
Role Overview Were seeking a Senior Operations Engineer to lead the stability, scalability, and reliability of our Java-based microservices platform. In this role, youll own production incident response, guide system architecture for resilience, and drive SRE practices such as SLOs and error budgets. You’ll also work across teams to scale observability, automate toil, and embed operational excellence in every service. Key Responsibilities Lead critical incident response efforts and own the resolution of high-severity outages. Drive root cause analysis and long-term reliability improvements. Architect and maintain observability solutions (Datadog, Prometheus). Define and track service-level objectives (SLOs) and participate in error budget planning. Collaborate with developers on the onboarding of new services with operational readiness standards. Eliminate toil through automation and process optimization. Mentor junior and mid-level engineers, helping define team standards and best practices. Participate in compliance and risk reviews related to operational infrastructure. Skills & Qualifications 5+ years in a technical operations, DevOps, or site reliability engineering role. Deep experience in production operations of microservices (Java/Spring Boot preferred). Expert in Kafka, MongoDB, Kubernetes, Terraform, and CI/CD pipeline management. Strong background in observability (Datadog, ELK, OpenTelemetry) and monitoring best practices. Familiarity with ITIL-aligned processes and a strong bias for DevOps and SRE principles. Leadership presence, ability to influence cross-functional teams, and mentor others
Azure Data Engineer - JD Experience 5 8 years 1. Data Management and Storage: Design and implement data storage solutions using Azure SQL Database, Azure Data Lake Storage and Azure Blob Storage. Ensure data storage systems are scalable, performant, and cost-effective. 2. Data Integration and ETL: Develop and manage ETL (Extract, Transform, Load) processes using Azure Data Factory. Ensure efficient data cleaning, transformation, and loading into Data Lakes. 3. Big Data and Analytics: Utilize big data technologies like Azure Databricks and Apache Spark for data processing and analytics. Create data processing workflows and pipelines to support data analytics and machine learning applications. 4. Data Pipeline Architecture: Design, construct, and maintain data pipelines and combine large, complex datasets that meet business requirements. 5. Optimization and Monitoring: Implement effective metrics and monitoring processes to ensure data quality and system performance. Identify and implement internal process improvements, such as automating manual processes and optimizing data delivery. 6. Collaboration and Support: Work with stakeholders to address data-related technical issues and support data-driven decision-making. Collaborate with data and analytics experts to enhance data system functionality. 7. ML Use Cases: Collaborate with data scientists to create datasets for variety of use cases . Implement data annotations, curation techniques to enhance data readiness for ML Applications. We are looking for candidate who can join before 15th September only.
Coach and mentor developers, promoting best practices, collaboration and professional growth. Design and implement enterprise-level features using Java and Spring Boot. Develop high-performance, maintainable Java code that meets technical and business needs. Collaborate with cross-functional Scrum teams to create impactful software solutions. Configure and optimize continuous integration pipelines using Jenkins. Contribute to key architectural decisions and technical designs. Ensure application performance, scalability, and reliability in a cloud-based environment.
Job Title: SQL Developer Location: Bengaluru - Hybrid Experience: 5+years We are looking for an SQL Developer with hands-on MS SQL development experience. The ideal candidate should be strong in writing complex queries, normalization, and performance tuning. Must have expertise in DB schemas (fact/dimension tables, snowflake), joins, case statements, CTEs, and window functions. Strong problemsolving and communication skills are essential. 5+ years of hands-on MS SQL Development experience. Strong in complex SQL queries, normalization, and performance tuning. Good knowledge of schemas fact/dimension tables, snowflake schema. Expertise in joins, case statements, CTEs, and window functions. Strong problem-solving and communication skills
We are looking for an experienced Data Engineer with 4+ years of expertise in building scalable data pipelines on AWS . The ideal candidate should have strong knowledge of ETL processes , data modeling , and modern data platforms like Snowflake and Redshift . Key Skills Required: Strong hands-on experience with AWS services : EC2, S3, IAM, Glue, DMS Experience with RDBMS and MPP databases like Snowflake/Redshift Knowledge of ETL workflows and data modeling Proficiency in SQL (Python/PySpark is a plus) Good understanding of cloud-based data architecture Nice to Have: AWS certification Experience with data lake or CI/CD setup We are looking for immediate joiners only
Role: Senior Cloud Ops Engineer (Exp: 6+yrs) Location: Bengaluru - Hybrid Role Overview: Were seeking a Senior Operations Engineer to lead the stability, scalability, and reliability of our Java-based microservices platform. In this role, you’ll own production incident response, guide system architecture for resilience, and drive SRE practices such as SLOs and error budgets. You’ll also work across teams to scale observability, automate toil, and embed operational excellence in every service. Key Responsibilities Lead critical incident response efforts and own the resolution of high-severity outages. Drive root cause analysis and long-term reliability improvements. Architect and maintain observability solutions (Datadog, Prometheus). Define and track service-level objectives (SLOs) and participate in error budget planning. Collaborate with developers on the onboarding of new services with operational readiness standards. Eliminate toil through automation and process optimization. Mentor junior and mid-level engineers, helping define team standards and best practices. Participate in compliance and risk reviews related to operational infrastructure. Skills & Qualifications: 5+ years in a technical operations, DevOps, or site reliability engineering role. Deep experience in production operations of microservices (Java/Spring Boot preferred). Expert in Kafka, MongoDB, Kubernetes, Terraform, and CI/CD pipeline management. Strong background in observability (Datadog, ELK, OpenTelemetry) and monitoring best practices. Familiarity with ITIL-aligned processes and a strong bias for DevOps and SRE principles. Leadership presence, ability to influence cross-functional teams, and mentor others
Coach and mentor developers, promoting best practices, collaboration and professional growth. Design and implement enterprise-level features using Java and Spring Boot. Develop high-performance, maintainable Java code that meets technical and business needs. Collaborate with cross-functional Scrum teams to create impactful software solutions. Configure and optimize continuous integration pipelines using Jenkins. Contribute to key architectural decisions and technical designs. Ensure application performance, scalability, and reliability in a cloud-based environment.
The candidate must have, An overall 10+ years of experience in IT Expert level development exp on SCALA and Apache Spark is a must [5+ yrs] Very good knowledge and work experience on AWS Services like EMR, Kinesis, S3, Lambda, API GW, Advanced IAM etc [2 yrs of exp] Scripting experience with Python/NodeJS [2 yrs of exp] Strong debugging skills on JAVA Develop scripts and manage databases like PostgreSQL/MySQL/DynamoDB Version Control: Working experience with one or more version control platforms like GitLab, GitHub or Bitbucket Demonstrate successful experience learning new technologies quickly Nice to have:- Hands-on exp with monitoring tools like AWSCloudWatch/ DataDog/ Splunk/Nagios etc Experience on Infra as code automation like Terraform.
Operations Engineer As a Mid-Level Operations Engineer, you will manage the operational health of services in a distributed Java microservices platform. You will lead incident response efforts, automate recurring tasks, and work with developers and SREs to ensure resilient, observable systems using technologies such as Kafka, MongoDB, and Datadog. Key Responsibilities 1. Own incident triage and response, collaborating with developers and stakeholders. 2. Analyze and resolve recurring service issues; contribute to root cause analysis and prevention. 3. Automate common operational tasks using scripting, CI/CD tools, or infrastructure-as-code (e.g., Terraform). 4. Monitor services using Datadog and Prometheus; improve alerting and dashboarding. 5. Contribute to service onboarding and operational readiness (SLOs, runbooks, on-call documentation). 6. Participate in change and release management with a focus on safety and reliability. Skills & Qualifications 2 to 5 years in a systems, platform, or DevOps-focused operations role. Strong experience with Linux systems, cloud infrastructure (AWS/Azure), and observability tools. Working knowledge of Java-based microservices and containerization (Docker, Kubernetes). Hands-on experience with tools such as Gitlab, Terraform, or similar. Solid understanding of incident and problem management within an ITIL or DevOps framework. Strong collaboration and communication skills.
Role Overview Were seeking a Senior Operations Engineer to lead the stability, scalability, and reliability of our Java-based microservices platform. In this role, youll own production incident response, guide system architecture for resilience, and drive SRE practices such as SLOs and error budgets. You’ll also work across teams to scale observability, automate toil, and embed operational excellence in every service. Key Responsibilities Lead critical incident response efforts and own the resolution of high-severity outages. Drive root cause analysis and long-term reliability improvements. Architect and maintain observability solutions (Datadog, Prometheus). Define and track service-level objectives (SLOs) and participate in error budget planning. Collaborate with developers on the onboarding of new services with operational readiness standards. Eliminate toil through automation and process optimization. Mentor junior and mid-level engineers, helping define team standards and best practices. Participate in compliance and risk reviews related to operational infrastructure. Skills & Qualifications 5+ years in a technical operations, DevOps, or site reliability engineering role. Deep experience in production operations of microservices (Java/Spring Boot preferred). Expert in Kafka, MongoDB, Kubernetes, Terraform, and CI/CD pipeline management. Strong background in observability (Datadog, ELK, OpenTelemetry) and monitoring best practices. Familiarity with ITIL-aligned processes and a strong bias for DevOps and SRE principles. Leadership presence, ability to influence cross-functional teams, and mentor others
FIND ON MAP