Senior Software Engineer - Platform & Integrations Job at Seismic (Hyderabad)

Software Engineer / Senior Software Engineer

ARiA is looking for highly motivated self-starters and low-ego team players to j...

Location

United States , Madison; Alexandria; Seattle

Salary:

Not provided

Applied Research in Acoustics

Expiration Date

Until further notice

Requirements

Applicants selected for employment will be subject to a government security investigation and must meet eligibility requirements, including U.S. citizenship, for access to sensitive information
Bachelor’s degree or greater in a relevant technical field (Computer Science, Engineering, or equivalent)
Expertise designing and developing code using modern programming/scripting languages such as C, C++, Golang, JavaScript (and variants), and Python
Expertise developing and deploying software in an agile, continuous-integration (CI) framework across a variety of hardware platforms (desktop, server, cloud) using modern tools including containerization (e.g., Docker, Kubernetes)
Exceptional ability and desire to acquire new knowledge and skills to solve challenges
Ability to work independently but collaboratively
Ability to manage multiple projects in a fast-paced professional office environment
Ability to communicate technical solutions to colleagues and customers
Superior oral and written communications skills

Job Responsibility

Algorithm and software design, development, research, and testing to support prototypes and products
Supporting the transition of research algorithms to fielded systems
Preparing documentation to summarize design and status of prototypes and products
Assisting with in-field integration, testing, and support, with some local travel required
Developing an interface between a C++ underwater-acoustics physics engine and a video game for education and training
Developing a JavaScript backend for a scenario-design and management tool for players and integration of that system with a learning-management system (LMS)
Developing algorithms and software for a cloud-deployed cognitive tool that allows natural-language query of legal documents to answer user questions about government regulations and supporting the DevOps process for deployment of the prototype

Fulltime

Software engineer 2 / Senior Software engineer - Azure Data

Microsoft's Azure Data engineering team is leading the transformation of analyti...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Experience with the Azure stack including Storage, Compute, Networking, Fabric, Purview, Synapse, AKS, DevOps, Data Factory, or Power BI
Experience with big data technologies such as Spark, Kafka, Hadoop, or HBase
Experience building data lake or data engineering products, tools, or pipelines
Familiarity with container-based architectures (Docker, Kubernetes)
Ability to debug complex distributed systems on Linux and/or Windows platforms

Job Responsibility

Write extensible, maintainable code in C#, Java, Scala, or Python for Fabric Materialized Lake View services and HDInsight components
Use AI tools and coding best practices across the development lifecycle
Design data refresh, scheduling, and query optimisation features with minimal supervision
Review code from teammates for correctness, test coverage, security risks, and adherence to team standards
Coach junior engineers through code reviews
Debug complex issues in distributed systems running on Azure, Linux, and Windows
Run live site operations on a rotational, on-call basis
Integrate logging and instrumentation to gather telemetry on system health, performance, reliability, and security
Work with product managers, technical leads, and partners across geographies to define customer requirements for Materialized Lake View features

Fulltime

Senior Software Platform Engineer

Solvd Inc. is a rapidly growing AI-native consulting and technology services fir...

Location

Brazil

Salary:

Not provided

Solvd Inc.

Expiration Date

Until further notice

Requirements

7+ years of professional experience in software engineering and infrastructure engineering
Extensive experience building and maintaining AI/ML infrastructure in production, including model, deployment, and lifecycle management
Strong knowledge of AWS and infrastructure-as-code frameworks, ideally with CDK
Expert-level coding skills in TypeScript and Python building robust APIs and backend services
Production-level experience with Databricks MLFlow, including model registration, versioning, asset bundles, and model serving workflows
Expert level understanding of containerization (Docker)
Proven ability to design reliable, secure, and scalable infrastructure for both real-time and batch ML workloads
Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members
Strong collaboration skills and the ability to partner effectively with cross-functional teams

Job Responsibility

Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock
Build and manage scalable data pipelines to ingest, transform, and serve data for ML and analytics
Develop infrastructure-as-code using tools like Cloudformation, AWS CDK to ensure repeatable and secure deployments
Collaborate with AI engineers, data engineers, and platform teams to improve the performance, reliability, and cost-efficiency of AI models in production
Drive best practices for observability, including monitoring, alerting, and logging for AI platforms
Contribute to the design and evolution of our AI platform to support new ML frameworks, workflows, and data types
Stay current with new tools and technologies to recommend improvements to architecture and operations
Integrate AI models and large language models (LLMs) into production systems to enable use cases using architectures like retrieval-augmented generation (RAG)

What we offer

Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation
Be part of a global team with equal opportunities for collaboration across continents and cultures
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards

Fulltime

Senior Platform Software Engineer

EarnIn is seeking a Senior Platform Engineer to design, build, and evolve the co...

Location

India , Bengaluru

Salary:

Not provided

EarnIn

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience)
4+ years of software development or infrastructure experience, with a specific focus on Platform Engineering, Kubernetes
Familiarity in Kubernetes cluster management and orchestration, with specific hands-on expertise in ArgoCD and GitOps principles
Strong programming skills in Golang and Python
experience building internal developer tooling or treating infrastructure as software
Knowledge of microservices architecture and cloud-native technologies
Strong expertise with CI/CD tools (GitHub Actions, Jenkins) and observability hooks (DataDog) within the deployment lifecycle
Demonstrated experience utilizing AI productivity tools (e.g., Cursor, Claude Code) to accelerate SDLC workflows, with proficiency in prompt engineering to optimize code generation, debugging, and documentation tasks
Experience with AWS managed services and cloud infrastructure
Strong communication skills and the ability to work effectively in a geographically distributed team environment

Job Responsibility

Design, implement, and maintain scalable GitOps workflows with Argo CD and Kubernetes that span the entire software development lifecycle, from commit to production
Design and implement GitHub Actions to orchestrate complex CI workflows, including writing custom actions and managing reusable workflows that support a diverse set of languages and frameworks
Partner with product engineering and developer productivity teams to ensure seamless integration of Kubernetes and CI/CD tooling, acting as a bridge to translate developer friction points into infrastructure improvements
Build reusable automation tools and templates (using Go or Python) to abstract the complexities of Helm and Kustomize, allowing development teams to self-serve their infrastructure needs
Keep the deployment platform aligned with evolving industry standards to reduce operational toil and fragmentation
Participate in infrastructure architecture and design reviews, providing well-thought-out recommendations on scalability, high availability, and microservices best practices
Deliver solutions that balance speed, quality, and resilience, ensuring progressive delivery strategies (canary/blue-green) and performance considerations are built into the pipeline
Contribute to code reviews for infrastructure-as-code and support teammates through documentation, guidance, and collaborative problem-solving

What we offer

healthcare
internet/cell phone reimbursement
a learning and development stipend
opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site

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