Data Scientist

Salesforce DevOps/Release Engineer

Resource type - Salesforce DevOps/Release Engineer

Experience - 5 to 8 years

Norms - PF & UAN mandatory

Resource Availability - Immediate or Joining time in less than 15 days

Job - Remote

Shift timings - UK timing (1pm to 10 pm or 2pm to 11pm)

Required Experience:

• 5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment management.
• Strong expertise in Salesforce deployment processes, including CI/CD pipelines.
• Significant hands-on experience with at least two of the following tools: Gearset, Copado,Flosum.
• Solid understanding of Salesforce architecture, metadata, and development lifecycle.
• Familiarity with version control systems (e.g., Git) and agile methodologies

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, Copado, or Flosum.
• Automate and optimize deployment processes to ensure efficient, reliable, and repeatable releases across Salesforce environments.
• Collaborate with development, QA, and operations teams to gather requirements and ensurealignment of deployment strategies.
• Monitor, troubleshoot, and resolve deployment and release issues.
• Maintain documentation for deployment processes and provide training on best practices.
• Stay updated on the latest Salesforce DevOps tools, features, and best practices.

Technical Skills:

• Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments
• CI/CDBuilding and maintaining pipelines, automation, and release management
• Version ControlProficiency with Git and related workflows
• Salesforce PlatformUnderstanding of metadata, SFDX, and environment management
• Scripting
• Familiarity with scripting (e.g., Shell, Python) for automation (preferred)
• Communication
• Strong written and verbal communication skills

Preferred Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or related field.

Certifications:

Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus.

Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial.

Experience with Salesforce DX and deployment strategies for large-scale orgs. 

Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.

Location: Remote (India only)

Role Overview

We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.

Key Responsibilities

• Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
• RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
• Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
• Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
• System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
• Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
• Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
• Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .

Required Skills and Qualifications

• Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
• LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
• AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
• Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
• Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
• Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
• Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
• Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.

Preferred (Bonus) Qualifications

• Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
• Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
• Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !

Perks of working at Certa.ai:

• Best-in-class compensation
• Fully-remote work with flexible schedules
• Continuous learning
• Massive opportunities for growth
• Yearly offsite
• Quarterly hacker house
• Comprehensive health coverage
• Parental Leave
• Latest Tech Workstation
• Rockstar team to work with (we mean it!)

We're seeking a Software Development Engineer in Test (SDET) to ensure product feature quality through meticulous test design, automation, and result analysis. Collaborate closely with developers to optimize test coverage, resolve bugs, and streamline project delivery.

Responsibilities:

Ensure the quality of product feature development.

Test Design: Understand the necessary functionalities and implementation strategies for straightforward feature development. Inspect code changes, identify key test scenarios and impact areas, and create a thorough test plan.

Test Automation: Work with developers to build reusable test scripts. Review unit/functional test scripts, and aim to maximize test coverage to minimize manual testing, using Python.

Test Execution and Analysis: Monitor test results and identify areas lacking in test coverage. Address these areas by creating additional test scripts and deliver transparent test metrics to the team.

Support & Bug Fixes: Handle issues reported by customers and aid in bug resolution.

Collaboration: Participate in project planning and execution with the team for efficient project delivery.

Requirements:

A Bachelor's degree in computer science, IT, engineering, or a related field, with a genuine interest in software quality assurance, issue detection, and analysis.

2-5 years of solid experience in software testing, with a focus on automation. Proficiency in using a defect tracking system, Code repositories & IDEs.

A good grasp of programming languages like Python/Java/Javascript. Must be able to understand and write code.

Familiarity with testing frameworks (e.g., Selenium, Appium, JUnit).

Good team player with a proactive approach to continuous learning.

Sound understanding of the Agile software development methodology.

Experience in a SaaS-based product company or a fast-paced startup environment is a plus.

•  Strong analytical and problem-solving skills
•  Ability to work independently, learn quickly and be proactive
•  10-14 years of hands-on experience working on Web Full Stack technologies, with at least 4-6 years of experience developing applications with/on React/NextJS, NoSQL, REST APIs
•  Proficiency in JavaScript/TypeDcript (ES6), NodeJS, HTML5, CSS3, CSS Preprocessors, Webpack, Gulp
•  Client-side scripting and JavaScript frameworks – jQUery, ReactJS, Redux, Babel, JSX
•  Experience in designing high-performance REST APIs and associated data structures
•  Familiarity with developing microservices using containerization technologies such as docker, Kubernetes, etc.
•  Working knowledge of git and using branches for development

About the job

Whirldata Inc. is an AI/Data Sciences/App Dev company established in 2017 to provide management and technology consulting services to small and medium enterprises across the globe. We are headquartered in California and our team works out of Chennai. The specific focus is on

1. Helping clients identify areas where Data Sciences and AI-based approaches can increase revenues, decrease costs or enhance customer engagement experience
2. Help clients translate business needs into process flows for exploratory and cutting-edge applications
3. Provide appropriate and targeted solutions that can achieve the planned objective

Whirldatas management team consists of individuals with a combined 45+ years of management and technology consulting experience, spanning multiple verticals such as finance, energy, retail, manufacturing and supply chain/logistics. Please look up our website and go through the blogs/videos/articles to find out more about us.

Working Philosophy

Whirldata works on the principle that, larger business goals come first and any technology-intensive solutions need to support necessary business goals. Hence all engagements start as a management consulting exercise and solution building follows after a thorough understanding of business needs.At Whirldata, we put our minds together, mix technology, art & math to deliver a viable, scalable and affordable business solution. We are passionate about what we do because we know that our work has the power to improve businesses. You can join our team working at the forefront of new technology, solving the challenges that impact both the front-end and back-end architectures, and ultimately, delivering amazing global user experiences.

Who we are looking for:

Full Stack Engineer (Position based in Chennai)

The following criteria are mandatory requirements and we strongly encourage that you apply only if you meet all these criteria:

1. Minimum 3 years of work experience

2. Proven capability to understand clients business needs

3. At least one demonstrable stint of architecting a database from scratch

4. Multiple programming language capabilities a must. In-depth knowledge of at least one programming language

5. Willingness to wear multiple hats depending on our business needs will be a priority

6. At least 2 years of hands-on experience in front-end development

7. Knowledge of current tools, platforms and languages an absolute must

8. Hands-on experience in cloud technologies and project management capabilities will be considered favourably

What do you get in return

• AI, Data Sciences and App dev require individuals who are both business and tech-savvy. We will turn you into one and make you a rockstar!
• You will get to work in an environment where your effort helps the customer and you will get to see it
• We will provide on-the-job training that will make you a doer and not a talker on data sciences, AI and app dev
• Opportunities to shine and pave your own way forward. We are good at identifying your talents and providing a platform where you will get immense satisfaction from demonstrating the same.
• Of course - we will pay you well too!

If you are interested - please apply with a small note with your thoughts on why you find this opportunity exciting and why you are willing to consider a move.

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

F5, Inc. is seeking a Software Engineer III with experience in building highly available and highly scalable services on public cloud like AWS, Azure and GCP. In this role you will help develop networking and security technologies as a service (SaaS) to solve customers’ multi-cloud problem. You will be part of Cloud Orchestration team working on F5 Distributed Cloud platform.

Primary Responsibilities 

• Design and development of highly available and highly scalable services using public cloud and F5 Distributed Cloud services.

• Understand product requirements related to multi-cloud and propose solutions.

• Follow software development lifecycle for feature development i.e., design, develop, test and support the features

• Creating prototypes to validate use cases and get feedback from product team and architects.

• Work cohesively with geographically distributed team

Knowledge, Skills and Abilities

• Experience in designing and implementing solutions for services in public cloud

• Experience in developing software in a SaaS environment

• Extensive hands-on experience in using Infrastructure as code (IsC) tools like terraform (preferred), cloud formation etc

• Extensive hands-on experience in programming languages such as Golang(preferred), python, Java, Rust

• Solid understanding of AWS VPC Networking Services like Transit Gateway, Virtual Private Gateway, Direct Connect, Gateway Load balancer, Private link etc.

• Solid understanding of Azure Networking Services like Virtual Network (Vnet), Express route, Azure load balancers etc

• Solid understanding of GCP networking services

• Good understanding and experience in L2 to L7 networking protocols including but not limited to Ethernet, TCP/IP, VLAN, BGP, HTTP

• Good understanding of container technologies such as Docker, Kubernetes etc.,

• Working knowledge of CI/CD tools like GitLab, Argo

• Ability to implement all phases of a development cycle for a software product from understanding requirements, going through design, development and deploy phases

• Self-motivated and willing to delve into new areas and take on new challenges in a proactive manner

• Excellent written and verbal communication skills.

Qualifications

• Minimum of 5 years of related experience with a Bachelor's degree in Computer Science/related field