Senior Software Engineer

The Software Engineer – SRE will be responsible for building and maintaining highly reliable, scalable, and secure infrastructure that powers the Albert platform. This role focuses on automation, observability, and operational excellence to ensure seamless deployment, performance, and reliability of core platform services.

Responsibilities

• Act as a passionate representative of the Albert product and brand.
• Work closely with Product Engineering and other stakeholders to plan and deliver core platform capabilities that enable scalability, reliability, and developer productivity.
• Work with the Site Reliability Engineering (SRE) team on shared full-stack ownership of a collection of services and/or technology areas.
• Understand the end-to-end configuration, technical dependencies, and overall behavioral characteristics of all microservices.
• Be responsible for the design and delivery of the mission-critical stack with a focus on security, resiliency, scale, and performance.
• Own end-to-end performance and operability.
• Demonstrate a clear understanding of automation and orchestration principles.
• Act as the escalation point for complex or critical issues that have not yet been documented as Standard Operating Procedures (SOPs).
• Use a deep understanding of service topology and dependencies to troubleshoot issues and define mitigations.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 1+ years of software engineering experience, with at least 1 year in an SRE role focused on automation.
• Strong experience with Infrastructure as Code (IaC), preferably using Terraform.
• Strong expertise in Python or Node.js, including designing RESTful APIs and microservices architecture.
• Strong expertise in cloud infrastructure (AWS) and platform technologies including microservices, APIs, and distributed systems.
• Hands-on experience with observability stacks including centralized log management, metrics, and tracing.
• Familiarity with CI/CD tools such as CircleCI and performance testing using K6.
• Passion for bringing more automation and engineering standards to organizations.
• Experience building high-performance APIs with low latency (<200 ms).
• Ability to work in a fast-paced environment and collaborate with peers and leaders.
• Ability to lead technically, mentor engineers, and contribute to hiring and team growth.

Good to Have

• Experience with Kubernetes and container orchestration.
• Familiarity with observability tools such as Prometheus, Grafana, OpenTelemetry, Datadog.
• Experience building internal developer platforms (IDPs) or reusable engineering frameworks.
• Exposure to ML infrastructure or data engineering workflows.
• Experience working in compliance-heavy environments (SOC2, HIPAA, etc.).

About Albert Invent

Albert Invent is a cutting-edge AI-driven software company headquartered in Oakland, California, on a mission to empower scientists and innovators in chemistry and materials science to invent the future faster. Scientists in 30+ countries use Albert to accelerate R&D with AI trained like a chemist, helping bring better products to market faster.

Why Join Albert Invent

• Work with a mission-driven, fast-growing global team at the intersection of AI, data, and advanced materials science.
• Collaborate with world-class scientists and technologists to redefine how new materials are discovered and developed.
• Culture built on curiosity, collaboration, ownership, and continuous learning.
• Opportunity to build cutting-edge AI tools that accelerate real-world R&D and solve global challenges such as sustainability and advanced manufacturing.

DESIRED SKILLS AND EXPERIENCE

 Strong analytical and problem-solving skills

 Ability to work independently, learn quickly and be proactive

 3-5 years overall and at least 1-2 years of hands-on experience in designing and managing DevOps Cloud infrastructure

 Experience must include a combination of:

o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)

o Ability to write and maintain code in at least one scripting language (Python preferred)

o Practical knowledge of shell scripting

o Cloud knowledge – AWS, VMware vSphere o Good understanding and familiarity with Linux

o Networking knowledge – Firewalls, VPNs, Load Balancers

o Web/Application servers, Nginx, JVM environments

o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.

o Familiarity with logging systems - Logstash, Elasticsearch, Kibana

o Git, Jenkins, Jira

Experience: 1- 5 Years

Job Location: WFH

No. of Position: Multiple

Qualifications: Ph.D. Must have

Work Timings: 1:30 PM IST to 10:30 PM IST

Functional Area: Data Science

NextGen Invent is currently searching for Data Scientist. This role will directly report to the VP, Data Science in Data Science Practice. The person will work on data science use-cases for the enterprise and must have deep expertise in supervised and unsupervised machine learning, modeling and algorithms with a strong focus on delivering use-cases and solutions at speed and scale to solve business problems.

Job Responsibilities:

• Leverage AI/ML modeling and algorithms to deliver on use cases
• Build modeling solutions at speed and scale to solve business problems
• Develop data science solutions that can be tested and deployed in Agile delivery model
• Implement and scale-up high-availability models and algorithms for various business and corporate functions
• Investigate and create experimental prototypes that work on specific domains and verticals
• Analyze large, complex data sets to reveal underlying patterns, and trends
• Support and enhance existing models to ensure better performance
• Set up and conduct large-scale experiments to test hypotheses and delivery of models

Skills, Knowledge, Experience:

• Must have Ph.D. in an analytical or technical field (e.g. applied mathematics, computer science)
• Strong knowledge of statistical and machine learning methods
• Hands on experience on building models at speed and scale
• Ability to work in a collaborative, transparent style with cross-functional stakeholders across the organization to lead and deliver results
• Strong skills in oral and written communication
• Ability to lead a high-functioning team and develop and train people
• Must have programming experience in SQL, Python and R
• Experience conceiving, implementing and continually improving machine learning projects
• Strong familiarity with higher level trends in artificial intelligence and open-source platforms
• Experience working with AWS, Azure, or similar cloud platform
• Familiarity with visualization techniques and software
• Healthcare experience is a plus
• Experience in Kafka, Chatbot and blockchain is a plus.

JD:

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

Responsibilities:

• You solve problems at their root, stepping back to understand the broader context.
• You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
• You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
• You recognise and use design patterns to solve business problems.
• You understand how operating systems work, perform and scale.

Requirements:

• You write high quality, maintainable, and robust code.
• You recognise and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
• You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.
• Bachelors or Masters in Computer Science or relevant technical field.
• Experience in software development and full product life-cycle.
• Excellent programming skills in any object oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
• Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
• Proficiency in SQL and data modeling.

• Track record of delivering various features in large-scale applications or core systems with at least 5 years of experience. If you've written code in big data applications handling multitudes of data or real-time events, you're in.
• Experience writing multi-component systems or micro-services, with architectures requiring efficient inter-application communication. If you know what Kafka is, and think it's the bee's knees, we will think the same of you.
• Experience writing in a high-level language such as Go, C, Rust, Python, Ruby, etc.. If you're already writing Go, or spent a weekend debugging the worse memory leak ever, that's a big plus.
• Experience writing APIs (either RESTful or not) and RPCs. If you've broken backwards compatibility for your customers once, and dealt with the fallout, we want you (to deal with the fallout again).
• Experience with RDBMS systems (e.g. MySQL, PostgreSQL, Oracle, SQLite) and/or NoSQL databases (e.g. MongoDB, Redis, Cassandra, Couchbase). If you've written queries with more than two joins, or have a strong opinion of why an integer is better as a primary key (or maybe a UUID), we'd like to hear from you.
• Experience with container platforms and orchestrators such as Docker, Kubernetes and OpenShift is a plus. If you can name one way in which a container is different than a regular process, you're golden.
• Are you a free software/open source nerd? Do you maintain open source projects? Are you a Hacker News reader? Do you remember the days when you had to compile your own Linux kernel? Do you believe it should be called GNU/Linux? Have you ever been in a fight with an Emacs user? Are you an Emacs user? Well, we have the job for you!

Company description

Stints is a Boutique digital agency that provides digital services and growing across the world. www.stints.app

Min Experience: 4 years

Requirments

Required a strong candidate for Word press Web developer experience with exposure to large scale word press applications
- Complete knowledge of Word press architect, PHP, HTML5, CSS3, JavaScript, XML, JQuery, MySQL, Woo-commerce
- Ability to convert complex requirements into WordPress CMS.
- Ability to create and customize the plugin for complex requirements.
- Optimising performance & Security for the website.
- Must have experience of theme development, integration, and customization
- Should be able to understand the technical problem and be able to resolve it asap
- An understanding of front-end optimization techniques - Strong sense of visual design
-Strong experience with custom WordPress theme development, including accommodating full user editability, complex layouts, and plugins that require theme customization
- so it is important to have the ability to create setups from scratch
-Experience creating custom themes for use with WooCommerce

Job Types: Full-time, 

Required skill

• Around 6- 8.5 years of experience and around 4+ years in AI / Machine learning space
• Extensive experience in designing large scale machine learning solution for the ML use case,  large scale deployments and establishing continues automated improvement / retraining framework.
• Strong experience in Python and Java is required.
• Hands on experience on Scikit-learn, Pandas, NLTK
• Experience in Handling of Timeseries data and associated techniques like Prophet, LSTM
• Experience in Regression, Clustering, classification algorithms
• Extensive experience in buildings traditional Machine Learning SVM, XGBoost, Decision tree and Deep Neural Network models like RNN, Feedforward is required.
• Experience in AutoML like TPOT or other
• Must have strong hands on experience in Deep learning frameworks like Keras, TensorFlow or PyTorch 
• Knowledge of Capsule Network or reinforcement learning, SageMaker is a desirable skill
• Understanding of Financial domain is desirable skill

 Responsibilities 

• Design and implementation of solutions for ML Use cases
• Productionize System and Maintain those
• Lead and implement data acquisition process for ML work
• Learn new methods and model quickly and utilize those in solving use cases