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Response Informatics

Response Informatics

www.responseinformaticsltd.com

4 Jobs

149 Employees

About the Company

Response Informatics is a globally established end-to-end technology and enterprise-level management consulting company. We have our corporate offices in New Jersey, USA, and Hyderabad, India.

Incorporated in 1996, we have been sailing the ship with a single goal, the global adaption of the best technological and result driven practices for business growth.

With a humble start with management consulting and global staffing solutions, we have moved up the ladder sharply and significantly. Soon enough, we were delivering in various verticals and services ranging from enterprise level software and application development.

From mere technological consultation to high end, in-depth Centres of Excellence for cutting edge technologies such as Blockchain, Artificial intelligence, Data analytics, Robotic Process Automation, Internet of Things.

Every aspect of the technology dealt in and every service undertaken is entirely consumer-centric data-driven and most importantly, has its fundamentals dug deep into our result oriented strategies or ideologies.

Listed Jobs

Company background Company brand
Company Name
Response Informatics
Job Title
Java Software Engineer
Job Description
**Job Title** Java AWS Developer **Role Summary** Lead senior developer responsible for designing, building, and maintaining cloud-native Java applications on AWS. Collaborate with cross‑functional DevOps teams to deliver scalable, secure, and highly available services using the full AWS stack. **Expactations** - Deliver high‑quality, production‑ready code on time. - Mentor teammates and foster a growth mindset. - Apply best practices across security, CI/CD, and DevOps. - Communicate technical concepts to non‑technical stakeholders. **Key Responsibilities** - Design and implement microservices using Java, Node.js, and TypeScript on AWS (Lambda, ECS, API Gateway). - Create and manage infrastructure as code with CloudFormation and Terraform. - Build and maintain CI/CD pipelines via GitHub Actions. - Develop and optimise data pipelines with Athena, Glue, S3, and DynamoDB. - Manage NoSQL and SQL databases, ensuring data integrity and performance. - Enforce security controls, including RBAC, IAM roles, Secrets Manager, and KMS. - Design fault‑tolerant workflows using Amazon Step Functions. - Containerise services with Docker, deploy to Amazon ECS. - Monitor and troubleshoot applications using CloudWatch, Datadog, and other observability tools. - Collaborate on front‑end components using Angular where applicable. **Required Skills** - Proficiency in Java, Node.js, and TypeScript. - Deep knowledge of AWS services: S3, Athena, Glue, Lambda, DynamoDB, OpenSearch, CloudFormation, API Gateway, ECS, CloudWatch. - Experience with CI/CD tools (Git, GitHub Actions) and pipeline orchestration. - Strong grasp of security principles in AWS (RBAC, least privilege, Secrets Manager, KMS). - Competency in SQL and NoSQL databases. - Familiarity with Docker, ECS, and container orchestration. - Understanding of DevOps/DevSecOps concepts and workflows. - Proficient in monitoring and debugging with tools such as CloudWatch and Datadog. - Knowledge of Angular framework is a plus. **Required Education & Certifications** - Bachelor’s degree or higher in Computer Science, Engineering, or related field. - Valid AWS certification(s) (e.g., AWS Certified Solutions Architect – Associate or Professional) preferred.
Leeds, United kingdom
Hybrid
13-03-2026
Company background Company brand
Company Name
Response Informatics
Job Title
Technical Lead
Job Description
**Job Title**: Technical Lead **Role Summary**: A senior, hands‑on engineering leader responsible for overseeing the full software development lifecycle for digital products. The role combines direct coding with strategic direction, mentorship, and cross‑functional collaboration to ensure high‑quality, scalable solutions. **Expectations**: - Deliver functional features on Java/Spring Boot and AngularJS codebases within agreed timelines. - Fulfil governance of engineering standards, code quality, and process adherence across multiple teams. - Provide continuous coaching, mentorship and performance feedback to junior engineers. - Proactively resolve production incidents during service support hours. - Foster a culture of innovation, quality, and continuous improvement. **Key Responsibilities**: - Write and review Java, Spring Boot, AngularJS, Node.js, and TypeScript code. - Design and implement RESTful APIs and cloud‑native services on AWS (ECR, ECS, Lambda, API Gateway, S3, DynamoDB, Step Functions). - Set and enforce engineering best practices: CI/CD pipelines (GitLab, Jenkins, Maven), containerization (Docker), static analysis (SonarQube, Fortify), automated testing (Cypress, Selenium, BDD‑Gherkin with Karate/Cucumber, Jest). - Conduct code reviews, provide actionable feedback, and maintain codebase quality metrics. - Lead incident response during office hours: fault diagnosis, root‑cause analysis, and remediation. - Mentor junior developers, facilitate skill development, and promote knowledge sharing. - Liaise with Product Owners and Architects to define technical requirements and translate them into design and implementation plans. - Champion continuous learning, adopt new technologies, and recommend improvements to architecture and tooling. **Required Skills**: - **Technical**: - AWS services (ECR, ECS, Lambda, API Gateway, S3, DynamoDB, Step Functions, Apigee). - Java Spring Boot, AngularJS, Node 10, TypeScript. - CI/CD & tooling: GitLab, Jenkins, Maven, Docker, Fortify on Demand / SonarQube, Cypress, Selenium, BDD‑Gherkin (Karate/Cucumber), Jest. - **Leadership**: Demonstrable experience in leading, mentoring, and coaching engineering teams; strong stakeholder management; effective communication at all organization levels. - **Process**: Ability to establish, document, and enforce engineering principles and best practices across multiple teams. - **Desirable Additional Skills**: Kotlin, Groovy, Bash, JavaScript, CloudFormation/Terraform, JBoss Drools, DMN, XML. **Required Education & Certifications**: - Bachelor’s degree in Computer Science, Software Engineering, or related field (not explicitly stated but typical for this role). - Professional certifications are not listed; AWS Certified Developer or similar is advantageous.
England, United kingdom
Hybrid
Senior
17-03-2026
Company background Company brand
Company Name
Response Informatics
Job Title
Senior Java Software Engineer
Job Description
Job title: Senior Java Software Engineer Role Summary: Lead development and maintenance of scalable, cloud-native backend services using Java/Kotlin, orchestrated on AWS. Own design, code quality, deployment pipelines, and mentoring within a DevOps culture. Expactations: Demonstrate strong communication and collaborative leadership; exhibit a growth mindset; provide guidance to team members as needed; continuously adopt new technologies and best practices. Key Responsibilities: • Design and implement AWS-based microservices (Lambda, ECS, API Gateway). • Build and manage CI/CD pipelines (GitHub Actions, CloudFormation, CodePipeline). • Develop complex workflows with Amazon Step Functions. • Ensure application security (RBAC, least privilege, Secrets Manager, KMS). • Optimize performance; monitor with CloudWatch, Datadog, OpenSearch. • Mentor junior developers; perform code reviews; enforce coding standards. • Collaborate with front‑end (Angular) and data teams on API contracts and data access. Required Skills: • Core AWS services – S3, Athena, Glue, Lambda, DynamoDB, OpenSearch, CloudFormation, API Gateway, ECS, CloudWatch, Secrets Manager, KMS. • Programming – Java / Kotlin; complementary knowledge of Node.js, TypeScript. • Databases – SQL and NoSQL (DynamoDB, other key‑value stores). • CI/CD – Git, GitHub Actions, pipelines, infrastructure-as-code. • Workflow orchestration – Amazon Step Functions. • Containers – Docker, ECS. • DevOps/DevSecOps concepts – automation, monitoring, security hygiene. • Monitoring/debugging – Datadog, CloudWatch, OpenSearch. • Front‑end awareness – Angular framework. Required Education & Certifications: • Bachelor’s degree in Computer Science, Software Engineering or related field. • AWS certifications (AWS Certified Developer – Associate or AWS Certified Solutions Architect – Associate) preferred.
Leeds, United kingdom
Hybrid
Senior
17-03-2026
Company background Company brand
Company Name
Response Informatics
Job Title
Machine Learning Engineer
Job Description
Job Title: Machine Learning Engineer Role Summary Design, develop, and deploy production‑grade NLP and ML solutions, focusing on text‑processing neural networks and large language models. Lead end‑to‑end pipelines from data ingestion through prompt engineering to model deployment and monitoring, ensuring scalability, performance, and quality. Expectations - Deliver robust models and pipelines within a 3‑month contract, with potential extension. - Demonstrate clear ownership of code quality, documentation, and reproducibility. - Communicate decisions and results effectively in English to cross‑functional teams. - Contribute to continuous improvement of processes, tooling, and best practices. Key Responsibilities - Build and fine‑tune transformer‑based models for NLP tasks (classification, generation, retrieval). - Design and implement Retrieval‑Augmented Generation (RAG) workflows, integrating vector databases and knowledge bases. - Develop prompt engineering strategies to enhance model performance. - Implement MLOps practices: versioning, experiment tracking (MLflow, Polyaxon), testing, CI/CD, and monitoring. - Containerise models with Docker, orchestrate via Kubernetes (EKS, AKS, GKE) and define IaC (Terraform, Bicep). - Perform large‑scale data processing, feature engineering, and statistical validation. - Collaborate with data engineers on data governance, cataloguing, and schema design. - Participate in agile sprints, retrospectives, and code reviews. Required Skills - Advanced Python programming; expertise in PyTorch, SpaCy, NLTK, scikit‑learn, Pandas, Pydantic. - Deep understanding of machine learning algorithms, neural nets, transformers, LLMs, RAG systems. - Strong command of package management (Poetry, pip, Conda) and OOP/functional programming. - Proficient with Git, CI/CD pipelines, and MLOps tooling. - Experience with Azure/AWS services, Docker, Kubernetes, and IaC (Terraform/Bicep). - Familiarity with Linux shell, NoSQL databases (MongoDB, ElasticSearch), vector DBs, and query languages (SQL, ElasticQuery, QL). - Knowledge of statistical analysis, experimental design, large‑scale data pipelines. - Agile development methodology experience. - Excellent written and spoken English. Required Education & Certifications - Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field (Master’s preferred). - Relevant certifications (e.g., AWS Certified Machine Learning – Specialty, Azure ML, or equivalent) are a plus.
Brussels region, Belgium
Hybrid
18-03-2026