Senior Launch Operations Engineer Job at Isar Aerospace (Ottobrunn)

Senior Software Engineer, Product Engineering

Everlaw is looking for a Senior Software Engineer with experience building and s...

Location

United States , Oakland

Salary:

164000.00 - 239000.00 USD / Year

Everlaw

Expiration Date

Until further notice

Requirements

BS or MS in Computer Science, or equivalent coursework
Experience and proficiency in coding in a language such as C, C++, C#, Java, Python, Javascript, Go or Rust
Good knowledge of algorithms and fundamental computer science concepts, relational databases, API design, and building user interfaces
At least 5 years of experience building distributed systems in the cloud with service based architecture, using frontend frameworks to create rich, deep, web applications, and experience with the best practices to test, maintain, and launch cloud based software
At least 1 year of experience leading or coordinating multi-developer efforts, including planning and technical breakdown

Job Responsibility

Build customer-facing features that represent the core of our product, including document and image/multi-modal processing, collaborative review tools, organization, translation tools, search, review, and more
Use AI technologies to find the evidence rapidly such as document classification, predictive coding, transfer learning and LLMs
Collaborate with one or more of the Product, Design, Engineering Operations, Security Engineering, and DevOps teams to build out and implement new features that are used in our production environments
Help with scaling our system to larger datasets with hundreds of millions of documents
Provide Technical Mentorship to other engineers by both sharing your technical knowledge and becoming an expert in an area of our code base
Be a Code Reviewer by reviewing code developed by others using your knowledge of programming languages, design patterns, and best practices
Fix defects in our product by triaging product or system issues and writing code to debug, track and resolve these issues
Provide on-call support for the product by answering questions from customers, triaging defects and exceptions, and carrying the pager
Contribute to documentation for internal engineering consumption or for external the Everlaw platform
Do technical interviews to help us recruit engineers and grow the team

What we offer

Equity program
401(k) retirement plan with company matching
Health, dental, and vision
Flexible Spending Accounts for health and dependent care expenses
Paid parental leave and approximately 10 days (80 hours) per year of sick leave
Seventeen paid vacation days plus 11 federal holidays
Membership to Modern Health to help employees prioritize mental health and wellness
Annual allocation for Learning & Development opportunities and applicable professional membership dues
Company-sponsored life and disability insurance
Work in Downtown Oakland, just steps from the BART line and dozens of restaurants

Fulltime

Senior Director, Technical Operations

We’re seeking an experienced Senior Director, Technical Operations to provide te...

Location

United States

Salary:

230000.00 - 280000.00 USD / Year

Loyal

Expiration Date

Until further notice

Requirements

PhD in Chemical Engineering or a closely related discipline, or equivalent industrial experience with deep technical expertise in process, analytical, and formulation development
12+ years of experience in biopharmaceutical CMC development and manufacturing, with increasing technical leadership responsibilities
Proven experience leading early CMC development through successful product launch, including process validation and technology transfer
Experience with small molecules and oral solid dosage forms strongly preferred
Strong understanding of process and formulation design, scale-up, and control for both drug substance and drug product
Demonstrated success guiding CDMOs and cross-functional CMC teams through complex technical challenges
Comprehensive knowledge of global CMC regulatory expectations (FDA, EMA, ICH) and ability to translate technical findings into regulatory strategies
Excellent technical judgment with the ability to synthesize complex data into clear, sound decisions
Collaborative, pragmatic, and thrives in a fast-paced, matrixed, mission-driven biotech environment

Job Responsibility

Provide technical leadership and integration across process, analytical, and formulation development, ensuring scientific rigor, data integrity, and seamless progression from early development through commercialization
Drive technical connectivity among CMC functions to maintain alignment, consistency, and robust science across all development stages
Lead technical risk assessment, mitigation, and decision-making, ensuring issues are identified, analyzed, and resolved through data-driven approaches
Partner with CMC functional leads and CDMOs to develop and refine scalable, robust, and reproducible processes for drug substance and oral solid dosage drug and finished products
Oversee technical readiness for key milestones including IND/IMPD, NDA/MAA, and commercial launch
Lead or contribute to CMC sections of regulatory submissions and represent Loyal in technical discussions with regulatory authorities
Collaborate closely with Quality, Regulatory, Clinical, and Commercial functions to ensure technical and operational alignment
Mentor and guide internal scientists and external partners to uphold a culture of technical excellence and accountability

What we offer

Full-coverage health insurance — medical, dental and vision — for you and your dependents
$1,000 home office equipment stipend
$1,200/year learning budget for books, courses, etc.
$250/month wellness budget for gym, cleaners, spa, food, etc.
All 3-day weekends are turned into 4-day weekends
Unlimited vacation and paid holidays
Paw-ternity leave — adopt a dog and get a day off with your new family member
Competitive salary
Company equity options grant for new hires

Fulltime

Senior Engineering Manager - Risk

Our mission is to build the intelligent, automated systems and operational tools...

Location

United States; Canada , San Francisco; New York; Portland

Salary:

239000.00 - 298800.00 USD / Year

Mercury

Expiration Date

Until further notice

Requirements

9+ years of software development experience
3–5+ years of engineering management in a high-scale tech environment
AI/ML expertise—you’ve built and launched applied AI products (from LLMs to traditional ML models), shipping them from 0→1 and scaling 1→10 in production environments
Proven success building large-scale backend distributed systems, ideally involving integrations and decision automation
Experience with or curiosity about KYC, AML, risk, or compliance systems in financial services or fintech
A track record of raising the bar for quality and reliability, balancing shipping speed with technical excellence
Strong communication and leadership skills—you can inspire engineers, partner across functions, and adapt your management style to the moment
The ability to hire, retain, and develop exceptional technical talent
A pragmatic builder’s mindset: you believe beautiful systems are those that work, adapt, and last

Job Responsibility

Lead teams (4–8 engineers each) responsible for account onboarding, KYC/KYB, AML, and fraud detection decisioning and workflows, and operational tooling
Apply AI/ML—from traditional models to large language models—to unlock faster, real-time bank account application approvals. This work sits on the critical business path, directly driving efficiency and revenue growth
Partner with Product, Risk, and Data teams to design and deliver scalable systems that balance user experience with compliance rigor
Shape the next generation of our KYC and risk platforms—reliable, resilient, and easy to extend as regulations and business needs evolve
Create a strong culture of operational excellence, with measurable improvements to uptime, accuracy, and system quality
Build, mentor, and grow engineering talent
help managers and senior engineers level up technically and organizationally
Drive clarity amid complexity: translating between regulatory nuance and technical execution
Foster collaboration across teams to align on priorities, simplify interfaces, and make the whole system more maintainable and elegant

What we offer

base salary
equity
benefits

Fulltime

Senior Software Engineer, Cloud Foundations

The Temporal Cloud Foundations group is looking for a Senior Software Engineer w...

Location

United States

Salary:

180000.00 - 225000.00 USD / Year

Temporal

Expiration Date

Until further notice

Requirements

5+ years of professional software engineering experience
At least 3 years working on scalable distributed systems in production
Strong understanding of distributed systems concepts (consensus, concurrency, fault tolerance, multi-threading)
Proficiency in writing concurrent code in a language like Go, Java, or similar
Demonstrated experience designing and operating production systems in a cloud environment (AWS, GCP, or Azure)
Track record of driving projects from concept through design, implementation, launch, and ongoing operations
Strong communication skills
Ability to work effectively in small, collaborative, high-ownership teams
Experience mentoring or leading engineers
Experience contributing to architectural decisions

Job Responsibility

Lead the design and implementation of features for our Cloud Operational API, Temporal Workflows, Enterprise Features, and data pipelines
Drive architectural discussions, setting direction for the scalability, reliability, and efficiency of our services
Build and advocate for a strong developer experience for Temporal Cloud customers
Make and communicate practical technical trade-offs that balance customer needs, reliability, and system performance
Take ownership across the lifecycle of services—from design and implementation to deployment, monitoring, and operations
Improve and scale our tools (operational tools, CI/CD, deployment systems), processes, and engineering practices
Mentor and provide technical guidance to engineers on the team, raising the overall technical bar

What we offer

Unlimited PTO
12 Holidays + 2 Floating Holidays
100% Premiums Coverage for Medical, Dental, and Vision
AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available)
Empower 401K Plan
Perks for Learning & Development, Lifestyle Spending, In-Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend
$3,600 / Year Work from Home Meals
$1,500 / Year Career Development & Learning
$1,200 / Year Lifestyle Spending Account
$1,000 / Year In-Home Office Setup (In addition to company-issued equipment)

Fulltime

Senior Data Engineer

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows, BQML, Vertex AI.
Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics.
Hands-on experience working with real-time, unstructured, and synthetic data.
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.
Expert knowledge on Python programming and SQL.
Experience with cloud platforms (AWS, GCP, Azure) and their data services
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
Familiarity with synthetic data generation and unstructured data processing

Job Responsibility

Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets
Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth.
Design, develop, deploy and support high performance data pipelines both inbound and outbound.
Model data platform by applying the business logic and building objects in the semantic layer of the data platform.
Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics
Optimize data pipelines for performance, scalability, and reliability.
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products.
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
Document the design and support strategy of the data pipelines
Capture, store and socialize data lineage and operational metadata

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Senior Data Engineer

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

85000.00 - 150000.00 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or another related technical field Required
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Preferred
2+ years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows Required
6+ years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics Required
Expert knowledge on SQL and Python programming
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed
Experience in tuning queries for performance and scalability
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar
Excellent organizational, prioritization and analytical abilities
Have proven experience working in incremental execution through successful launches

Job Responsibility

Work closely with various business, IT, Analyst and Data Science groups to collect business requirements
Design, develop, deploy and support high performance data pipelines both inbound and outbound
Model data platform by applying the business logic and building objects in the semantic layer of the data platform
Optimize data pipelines for performance, scalability, and reliability
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root
Document the design and support strategy of the data pipelines
Capture, store and socialize data lineage and operational metadata
Troubleshoot and resolve data engineering issues as they arise
Develop REST APIs to expose data to other teams within the company

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays

Fulltime

Senior Support Operations Analyst

As a Senior Support Operations Analyst, you'll be the technical architect behind...

Location

United States

Salary:

111220.00 - 133422.00 USD / Year

Babylist

Expiration Date

Until further notice

Requirements

7+ years in Customer Support Operations, Business Intelligence/Analytics, or similar roles in high-growth, customer-facing environments
Strong analytical skills and operational instincts, with a track record of designing scalable processes that improve agent performance and user experience
Advanced SQL proficiency with experience writing complex queries, joins, and building data models for customer support analytics
3+ years hands-on experience with Zendesk (or Salesforce Service Cloud), including building automation, workflows, triggers, and API integrations
Proven track record implementing and optimizing AI chatbot platforms such as Sierra, Decagon, Forethought, Ada, or similar enterprise solutions
Expert-level proficiency building dashboards and reports in Sigma, Tableau, or PowerBI—able to work independently with minimal technical support
Experience integrating data across multiple systems and working with APIs
Experienced in building and maintaining reporting and performance analysis, including CSAT, cost per contact, and ROI-focused metrics
Proven ability to lead end-to-end change management for major tool rollouts and workflow changes, including stakeholder communication, training development, adoption tracking, and post-launch support
Familiar with AI support technologies and their practical integration into support systems (chatbots, knowledge base platforms)

Job Responsibility

Ensure high accuracy visibility into support performance through scalable tools (like dashboards) and internal reporting systems
Identify and work with our tech team to drive system improvements across the CS Tech stack (Zendesk, chatbots, phones platform)
Work cross-functionally with engineering, product, supply chain, and offshore support teams to identify root causes of user frustration and implement solutions
Partner with CS leadership to identify trends and key issues within our reporting frameworks and take active role in resolution
Support regular reporting cadences (weekly, monthly, quarterly), with summaries that guide cross-functional decisions
Surface actionable insights from data to support empathetic, user-centered decision-making and analyze trends across channels and issue types, supporting data-driven improvements to the support model
Drive adoption of AI-enabled workflows that reduce handle time and enhance support quality
Own and evolve self-service content, tools, and AI integrations such as Copilots and knowledge bases
Maintain ownership of CS-tools and vendor relationships, ensuring we operate on a modern, AI-enabled stack that supports scale, agent effectiveness, and automation—while optimizing for quality, usability, and value
Identify inefficiencies and recommend solutions that improve agent effectiveness and reduce user friction

What we offer

Competitive salary with equity and bonus opportunities
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

Fulltime

Senior Principal Engineer Core Data Platform

As an engineer well into your career, we know you're an expert at what you do an...

Location

United States , Seattle; San Francisco; Mountain View

Salary:

198300.00 - 318600.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
12+ years of experience in backend software development, with a focus on distributed systems and large-scale storage solutions
8+ years of experience designing and managing highly available, large-scale storage architectures in cloud environments
5+ years of hands-on experience working with AWS storage services (S3, EBS, EFS, FSx, Glacier, DynamoDB)
Proficiency in system design, performance optimization, and cost-efficient architecture for exabyte-scale storage
Expertise in at least one major backend programming language (Kotlin, Java, Go, Rust, or Python)
Experience leading technical strategy and architectural decisions in large, multi-team engineering organizations
Strong understanding of distributed systems principles, including consistency models, replication, sharding, and consensus algorithms (Raft, Paxos)
Deep knowledge of security best practices, including encryption, access control (IAM), and compliance standards (SOC2, GDPR, HIPAA)
Experience mentoring senior engineers and driving high-impact engineering initiatives

Job Responsibility

Collaborate with partner teams and internal customers to help define technical direction and OKRs for the Core Data platform organization
Regularly tackle the largest and most complex problems on the team, from technical design to implementation and launch
Partner across engineering teams to take on company-wide initiatives spanning multiple projects
Routinely tackle complex architecture challenges and apply architectural standards and start using them on new projects
Work across senior engineering and product leaders to build strategy and design solutions to earn customers trust and business
Own key OKRs and end-to-end outcomes of critical projects in a microservices environment
Champion best practices and innovative techniques for scalability, reliability, and performance optimizations
Own engineering and operational excellence for the health of our systems and processes
Proactively drive opportunities for continuous improvements and own key operational metrics
Continually drive developer productivity initiatives to ensure that we unleash the potential of our own teams

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Launch Operations Engineer

Isar Aerospace

Location:
Germany , Ottobrunn

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 02, 2026

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